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    <description>Author(s): Xuemin Sun, Yuehua Yang, and Hongyuan Jiang&lt;br/&gt;&lt;p&gt;Extracellular vesicles (EVs) hold great promise in drug delivery, disease diagnosis, and treatment; however, the inability to control EVs biogenesis critically limits their therapeutic and diagnostic potential. Although regulatory mechanisms for biochemical cues have been extensively studied, the pr…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014407] Published Tue Jul 14, 2026</description>
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    <dc:date>2026-07-14T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014407 (2026)</dc:source>
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    <description>Author(s): V. N. Binhi&lt;br/&gt;&lt;p&gt;A mechanism for the biological effects of the hypomagnetic field is proposed, based on the rotational motion of a molecule as a whole within a cavity in an enzyme. It has been shown previously that a molecular rotator about 1 nm in size can have a decoherence time of up to tens of milliseconds. On s…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014406] Published Mon Jul 13, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): V. N. Binhi</p><p>A mechanism for the biological effects of the hypomagnetic field is proposed, based on the rotational motion of a molecule as a whole within a cavity in an enzyme. It has been shown previously that a molecular rotator about 1 nm in size can have a decoherence time of up to tens of milliseconds. On s…</p><br/><p>[Phys. Rev. E 114, 014406] Published Mon Jul 13, 2026</p>]]></content:encoded>
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    <dc:date>2026-07-13T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014406 (2026)</dc:source>
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    <description>Author(s): Alberto Dinelli, Ada Altieri, and Julien Tailleur&lt;br/&gt;&lt;p&gt;The self-organization of microbial ecosystems involves a large variety of mechanisms, ranging from biochemical signaling to population dynamics. Among these, the role of motility regulation has been little studied, despite the importance of active migration processes. Here we show how weak, random m…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014404] Published Tue Jul 07, 2026</description>
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    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014404 (2026)</dc:source>
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    <description>Author(s): Gaetano Ferraro and Michele Castellana&lt;br/&gt;&lt;p&gt;Biological membranes are dynamic surfaces whose shape and function are critically influenced by protein inclusions (PIs). While membrane deformations induced by PIs have been extensively studied in the small-deformation regime, a variety of processes involve strong membrane deformations. We investig…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014405] Published Tue Jul 07, 2026</description>
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    <dc:title>Interaction between cell membranes and protein inclusions in the large-deformation regime</dc:title>
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    <dc:date>2026-07-07T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014405 (2026)</dc:source>
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  <item rdf:about="http://link.aps.org/doi/10.1103/wd9g-t6ll">
    <title>Mechanical control of the height distribution of adsorbed viral capsids</title>
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    <description>Author(s): Yeraldinne Carrasco Salas, Kassandra Gérard, Lauriane Lecoq, Anna Salvetti, Fabien Montel, Cendrine Faivre-Moskalenko, and Martin Castelnovo&lt;br/&gt;&lt;p&gt;The height of viral particles adsorbed on solid substrates is governed by the equilibrium between adhesion energy and capsid elasticity. While the resulting height distribution has been proposed as a noninvasive proxy for viral stiffness, the physical origin of its broadening is unknown. In this wor…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014401] Published Mon Jul 06, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Yeraldinne Carrasco Salas, Kassandra Gérard, Lauriane Lecoq, Anna Salvetti, Fabien Montel, Cendrine Faivre-Moskalenko, and Martin Castelnovo</p><p>The height of viral particles adsorbed on solid substrates is governed by the equilibrium between adhesion energy and capsid elasticity. While the resulting height distribution has been proposed as a noninvasive proxy for viral stiffness, the physical origin of its broadening is unknown. In this wor…</p><br/><p>[Phys. Rev. E 114, 014401] Published Mon Jul 06, 2026</p>]]></content:encoded>
    <dc:title>Mechanical control of the height distribution of adsorbed viral capsids</dc:title>
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    <dc:date>2026-07-06T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014401 (2026)</dc:source>
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    <title>Accuracy of directional chemosensing via signaling cascades</title>
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    <description>Author(s):  Pradeep and Vaibhav Wasnik&lt;br/&gt;&lt;p&gt;Cells interpret noisy biochemical signals with remarkable precision, raising fundamental questions about the limits of sensing. While receptor-level constraints in chemosensing are well characterized, the role of intracellular signaling remains underexplored. We develop a theoretical framework combi…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014402] Published Mon Jul 06, 2026</description>
    <content:encoded><![CDATA[<p>Author(s):  Pradeep and Vaibhav Wasnik</p><p>Cells interpret noisy biochemical signals with remarkable precision, raising fundamental questions about the limits of sensing. While receptor-level constraints in chemosensing are well characterized, the role of intracellular signaling remains underexplored. We develop a theoretical framework combi…</p><br/><p>[Phys. Rev. E 114, 014402] Published Mon Jul 06, 2026</p>]]></content:encoded>
    <dc:title>Accuracy of directional chemosensing via signaling cascades</dc:title>
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    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014402 (2026)</dc:source>
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    <dc:identifier>doi:10.1103/wtrw-345p</dc:identifier>
    <prism:doi>10.1103/wtrw-345p</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>114</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-07-06T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/wtrw-345p</prism:url>
    <prism:startingPage>014402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/svqx-344w">
    <title>DTC: A deep learning framework for ternary contact prediction in C3-symmetric homotrimers</title>
    <link>http://link.aps.org/doi/10.1103/svqx-344w</link>
    <description>Author(s): Shuhong Yu, Zicheng Xie, Bingqing Han, and Xinqi Gong&lt;br/&gt;&lt;p&gt;Protein complexes play crucial roles in cellular functions. The work focuses on the prediction of interchain ternary residue contacts in protein complexes. We first constructed a homotrimeric dataset from the PDB and developed DTC (Deep Ternary Contact predictor), a hybrid deep learning framework fo…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 114, 014403] Published Mon Jul 06, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Shuhong Yu, Zicheng Xie, Bingqing Han, and Xinqi Gong</p><p>Protein complexes play crucial roles in cellular functions. The work focuses on the prediction of interchain ternary residue contacts in protein complexes. We first constructed a homotrimeric dataset from the PDB and developed DTC (Deep Ternary Contact predictor), a hybrid deep learning framework fo…</p><br/><p>[Phys. Rev. E 114, 014403] Published Mon Jul 06, 2026</p>]]></content:encoded>
    <dc:title>DTC: A deep learning framework for ternary contact prediction in C3-symmetric homotrimers</dc:title>
    <dc:creator>Shuhong Yu, Zicheng Xie, Bingqing Han, and Xinqi Gong</dc:creator>
    <dc:date>2026-07-06T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 114, 014403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/svqx-344w</dc:identifier>
    <prism:doi>10.1103/svqx-344w</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>114</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-07-06T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/svqx-344w</prism:url>
    <prism:startingPage>014403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/94b4-zsgb">
    <title>Stress anisotropy in axisymmetric 3D active curved structures</title>
    <link>http://link.aps.org/doi/10.1103/94b4-zsgb</link>
    <description>Author(s): Yuting Lou, Sophie Theis, Jean-Francois Rupprecht, Timothy E. Saunders, and Tetsuya Hiraiwa&lt;br/&gt;&lt;p&gt;Layers composed of lateral connections are ubiquitous in biological systems from subcellular membranes to epithelial sheets. Such layers are often found in nonflat environments, such as the ellipsoidal &lt;i&gt;Drosophila&lt;/i&gt; embryo. Here we build on Lou &lt;i&gt;et al&lt;/i&gt;. [&lt;a href="http://dx.doi.org/10.1103/PhysRevLett.130.108401"&gt;&lt;span&gt;Phys. Rev. Lett.&lt;/span&gt; &lt;b&gt;130&lt;/b&gt;, 108401 (2023)&lt;/a&gt;] to provide a …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064412] Published Tue Jun 30, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Yuting Lou, Sophie Theis, Jean-Francois Rupprecht, Timothy E. Saunders, and Tetsuya Hiraiwa</p><p>Layers composed of lateral connections are ubiquitous in biological systems from subcellular membranes to epithelial sheets. Such layers are often found in nonflat environments, such as the ellipsoidal <i>Drosophila</i> embryo. Here we build on Lou <i>et al</i>. [<a href="http://dx.doi.org/10.1103/PhysRevLett.130.108401"><span>Phys. Rev. Lett.</span> <b>130</b>, 108401 (2023)</a>] to provide a …</p><br/><p>[Phys. Rev. E 113, 064412] Published Tue Jun 30, 2026</p>]]></content:encoded>
    <dc:title>Stress anisotropy in axisymmetric 3D active curved structures</dc:title>
    <dc:creator>Yuting Lou, Sophie Theis, Jean-Francois Rupprecht, Timothy E. Saunders, and Tetsuya Hiraiwa</dc:creator>
    <dc:date>2026-06-30T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064412 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/94b4-zsgb</dc:identifier>
    <prism:doi>10.1103/94b4-zsgb</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-30T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/94b4-zsgb</prism:url>
    <prism:startingPage>064412</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/y24s-q4wk">
    <title>Quorum sensing promotes the emergence of antifragile regimes that increase bacterial communities' diversity</title>
    <link>http://link.aps.org/doi/10.1103/y24s-q4wk</link>
    <description>Author(s): Ivan Lechuga Jimenez and James Q. Boedicker&lt;br/&gt;&lt;p&gt;Understanding the mechanisms that shape bacterial community composition has implications in the ecology and evolution of both natural and synthetic microbial communities. Quorum sensing (QS), the regulation of cellular activity through signal exchange as a response to cell density, is a common mecha…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064411] Published Mon Jun 29, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Ivan Lechuga Jimenez and James Q. Boedicker</p><p>Understanding the mechanisms that shape bacterial community composition has implications in the ecology and evolution of both natural and synthetic microbial communities. Quorum sensing (QS), the regulation of cellular activity through signal exchange as a response to cell density, is a common mecha…</p><br/><p>[Phys. Rev. E 113, 064411] Published Mon Jun 29, 2026</p>]]></content:encoded>
    <dc:title>Quorum sensing promotes the emergence of antifragile regimes that increase bacterial communities' diversity</dc:title>
    <dc:creator>Ivan Lechuga Jimenez and James Q. Boedicker</dc:creator>
    <dc:date>2026-06-29T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064411 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/y24s-q4wk</dc:identifier>
    <prism:doi>10.1103/y24s-q4wk</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-29T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/y24s-q4wk</prism:url>
    <prism:startingPage>064411</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/8wk1-tvg3">
    <title>Emergence of a fluctuation-driven cooperative solidlike phase in Potts model monolayers</title>
    <link>http://link.aps.org/doi/10.1103/8wk1-tvg3</link>
    <description>Author(s): Alexander J. Devanny and Laura J. Kaufman&lt;br/&gt;&lt;p&gt;Cellular Potts model (CPM) simulations display significant variation in dynamics, structural ordering, and observed phase transitions. Such differences may emerge, at least in part, because CPM simulations are not implemented in a uniform manner, specifically in terms of the definitions of cell peri…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064410] Published Mon Jun 22, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Alexander J. Devanny and Laura J. Kaufman</p><p>Cellular Potts model (CPM) simulations display significant variation in dynamics, structural ordering, and observed phase transitions. Such differences may emerge, at least in part, because CPM simulations are not implemented in a uniform manner, specifically in terms of the definitions of cell peri…</p><br/><p>[Phys. Rev. E 113, 064410] Published Mon Jun 22, 2026</p>]]></content:encoded>
    <dc:title>Emergence of a fluctuation-driven cooperative solidlike phase in Potts model monolayers</dc:title>
    <dc:creator>Alexander J. Devanny and Laura J. Kaufman</dc:creator>
    <dc:date>2026-06-22T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064410 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/8wk1-tvg3</dc:identifier>
    <prism:doi>10.1103/8wk1-tvg3</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-22T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/8wk1-tvg3</prism:url>
    <prism:startingPage>064410</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/vkqj-nszx">
    <title>Bifurcations and multistability in inducible three-gene toggle switch networks</title>
    <link>http://link.aps.org/doi/10.1103/vkqj-nszx</link>
    <description>Author(s): Rebecca J. Rousseau and Rob Phillips&lt;br/&gt;&lt;p&gt;Control of transcription presides over a vast array of biological processes, including those mediated by gene regulatory circuits that exhibit multistability. Within these circuits, two- and three-gene network motifs are particularly critical to the repertoire of metabolic and developmental pathways…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064408] Published Wed Jun 17, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Rebecca J. Rousseau and Rob Phillips</p><p>Control of transcription presides over a vast array of biological processes, including those mediated by gene regulatory circuits that exhibit multistability. Within these circuits, two- and three-gene network motifs are particularly critical to the repertoire of metabolic and developmental pathways…</p><br/><p>[Phys. Rev. E 113, 064408] Published Wed Jun 17, 2026</p>]]></content:encoded>
    <dc:title>Bifurcations and multistability in inducible three-gene toggle switch networks</dc:title>
    <dc:creator>Rebecca J. Rousseau and Rob Phillips</dc:creator>
    <dc:date>2026-06-17T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064408 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/vkqj-nszx</dc:identifier>
    <prism:doi>10.1103/vkqj-nszx</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-17T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/vkqj-nszx</prism:url>
    <prism:startingPage>064408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/bbl5-1yjb">
    <title>Influence of visual field offset on collective behavior: An exploration using the two-dimensional Vicsek model</title>
    <link>http://link.aps.org/doi/10.1103/bbl5-1yjb</link>
    <description>Author(s): Poorendra Ramlall, Sachit Butail, and Subhradeep Roy&lt;br/&gt;&lt;p&gt;This study investigates the influence of visual field offset—a restricted field of vision positioned at a fixed angle from an agent's heading direction—on collective behavior using the Vicsek model. This offset shapes an agent's ability to perceive and respond to neighbors, thereby impacting overall…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064409] Published Wed Jun 17, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Poorendra Ramlall, Sachit Butail, and Subhradeep Roy</p><p>This study investigates the influence of visual field offset—a restricted field of vision positioned at a fixed angle from an agent's heading direction—on collective behavior using the Vicsek model. This offset shapes an agent's ability to perceive and respond to neighbors, thereby impacting overall…</p><br/><p>[Phys. Rev. E 113, 064409] Published Wed Jun 17, 2026</p>]]></content:encoded>
    <dc:title>Influence of visual field offset on collective behavior: An exploration using the two-dimensional Vicsek model</dc:title>
    <dc:creator>Poorendra Ramlall, Sachit Butail, and Subhradeep Roy</dc:creator>
    <dc:date>2026-06-17T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064409 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/bbl5-1yjb</dc:identifier>
    <prism:doi>10.1103/bbl5-1yjb</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-17T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/bbl5-1yjb</prism:url>
    <prism:startingPage>064409</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/qqyf-18y8">
    <title>Topological enhancement of protein kinetic stability</title>
    <link>http://link.aps.org/doi/10.1103/qqyf-18y8</link>
    <description>Author(s): João N. C. Especial and Patrícia F. N. Faísca&lt;br/&gt;&lt;p&gt;Knotted proteins embed a physical (i.e., open) knot within their native structures. For decades, significant effort has been devoted to elucidating the functional role of knots in proteins, yet no consensus has been reached. Here, using extensive Monte Carlo off-lattice simulations of a simple struc…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, L062402] Published Wed Jun 17, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): João N. C. Especial and Patrícia F. N. Faísca</p><p>Knotted proteins embed a physical (i.e., open) knot within their native structures. For decades, significant effort has been devoted to elucidating the functional role of knots in proteins, yet no consensus has been reached. Here, using extensive Monte Carlo off-lattice simulations of a simple struc…</p><br/><p>[Phys. Rev. E 113, L062402] Published Wed Jun 17, 2026</p>]]></content:encoded>
    <dc:title>Topological enhancement of protein kinetic stability</dc:title>
    <dc:creator>João N. C. Especial and Patrícia F. N. Faísca</dc:creator>
    <dc:date>2026-06-17T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, L062402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/qqyf-18y8</dc:identifier>
    <prism:doi>10.1103/qqyf-18y8</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-17T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/qqyf-18y8</prism:url>
    <prism:startingPage>L062402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/pt8g-kgkr">
    <title>Resource and population dynamics in an agent-environment interaction model</title>
    <link>http://link.aps.org/doi/10.1103/pt8g-kgkr</link>
    <description>Author(s): Gaston Briozzo, Gustavo J. Sibona, and Fernando Peruani&lt;br/&gt;&lt;p&gt;In any ecosystem, the conditions of the environment and the characteristics of the species that inhabit it are entangled, coevolving in space and time. We introduce a model that couples active agents with a dynamic environment, interpreted as a nutrient source. Agents are persistent random walkers t…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064406] Published Mon Jun 15, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Gaston Briozzo, Gustavo J. Sibona, and Fernando Peruani</p><p>In any ecosystem, the conditions of the environment and the characteristics of the species that inhabit it are entangled, coevolving in space and time. We introduce a model that couples active agents with a dynamic environment, interpreted as a nutrient source. Agents are persistent random walkers t…</p><br/><p>[Phys. Rev. E 113, 064406] Published Mon Jun 15, 2026</p>]]></content:encoded>
    <dc:title>Resource and population dynamics in an agent-environment interaction model</dc:title>
    <dc:creator>Gaston Briozzo, Gustavo J. Sibona, and Fernando Peruani</dc:creator>
    <dc:date>2026-06-15T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064406 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/pt8g-kgkr</dc:identifier>
    <prism:doi>10.1103/pt8g-kgkr</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-15T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/pt8g-kgkr</prism:url>
    <prism:startingPage>064406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/2fl6-1j71">
    <title>Miniature work-to-work converter engine powered by motor protein</title>
    <link>http://link.aps.org/doi/10.1103/2fl6-1j71</link>
    <description>Author(s): Suraj Deshmukh, Sougata Guha, Basudha Roy, Shivprasad Patil, Arnab Saha, and Sudipto Muhuri&lt;br/&gt;&lt;p&gt;Designing a miniature microscale engine that can override the role of thermal fluctuations has remained elusive and is an important open challenge. Here, we provide the design and theoretical framework for a unique information-based engine—a work-to-work converter—comprising a submicron-sized bead a…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064407] Published Mon Jun 15, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Suraj Deshmukh, Sougata Guha, Basudha Roy, Shivprasad Patil, Arnab Saha, and Sudipto Muhuri</p><p>Designing a miniature microscale engine that can override the role of thermal fluctuations has remained elusive and is an important open challenge. Here, we provide the design and theoretical framework for a unique information-based engine—a work-to-work converter—comprising a submicron-sized bead a…</p><br/><p>[Phys. Rev. E 113, 064407] Published Mon Jun 15, 2026</p>]]></content:encoded>
    <dc:title>Miniature work-to-work converter engine powered by motor protein</dc:title>
    <dc:creator>Suraj Deshmukh, Sougata Guha, Basudha Roy, Shivprasad Patil, Arnab Saha, and Sudipto Muhuri</dc:creator>
    <dc:date>2026-06-15T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064407 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/2fl6-1j71</dc:identifier>
    <prism:doi>10.1103/2fl6-1j71</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-15T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/2fl6-1j71</prism:url>
    <prism:startingPage>064407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/4hfs-bsyw">
    <title>Entropic clustering of stickers induces aging in biocondensates</title>
    <link>http://link.aps.org/doi/10.1103/4hfs-bsyw</link>
    <description>Author(s): Hugo Le Roy and Paolo De Los Rios&lt;br/&gt;&lt;p&gt;Biomolecular condensates are cellular phase-separated droplets that usually exhibit a viscoelastic mechanical response, a behavior rationalized by modeling the complex molecules that make up a condensate as stickers and spacers, which assemble into a network-like structure. Condensates usually exhib…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064405] Published Tue Jun 09, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Hugo Le Roy and Paolo De Los Rios</p><p>Biomolecular condensates are cellular phase-separated droplets that usually exhibit a viscoelastic mechanical response, a behavior rationalized by modeling the complex molecules that make up a condensate as stickers and spacers, which assemble into a network-like structure. Condensates usually exhib…</p><br/><p>[Phys. Rev. E 113, 064405] Published Tue Jun 09, 2026</p>]]></content:encoded>
    <dc:title>Entropic clustering of stickers induces aging in biocondensates</dc:title>
    <dc:creator>Hugo Le Roy and Paolo De Los Rios</dc:creator>
    <dc:date>2026-06-09T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064405 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/4hfs-bsyw</dc:identifier>
    <prism:doi>10.1103/4hfs-bsyw</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-09T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/4hfs-bsyw</prism:url>
    <prism:startingPage>064405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/cbkw-5s4b">
    <title>Reinforcement learning for chemotherapy scheduling in a stochastic tumor evolution model</title>
    <link>http://link.aps.org/doi/10.1103/cbkw-5s4b</link>
    <description>Author(s): M. Giles and P. K. Newton&lt;br/&gt;&lt;p&gt;We present a $Q$-learning framework for optimizing chemotherapy dosing schedules in a stochastic finite-cell model of tumor evolution under drug-induced selection. The tumor consists of three competing subpopulations: a chemosensitive lineage, $S$, and two single-drug-resistant lineages, ${R}_{1}$ a…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064404] Published Fri Jun 05, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): M. Giles and P. K. Newton</p><p>We present a <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>Q</mi></mrow></math>-learning framework for optimizing chemotherapy dosing schedules in a stochastic finite-cell model of tumor evolution under drug-induced selection. The tumor consists of three competing subpopulations: a chemosensitive lineage, <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi></math>, and two single-drug-resistant lineages, <math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>R</mi><mn>1</mn></msub></math> and <math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>R</mi><mn>2</mn></msub></math>, each…</p><br/><p>[Phys. Rev. E 113, 064404] Published Fri Jun 05, 2026</p>]]></content:encoded>
    <dc:title>Reinforcement learning for chemotherapy scheduling in a stochastic tumor evolution model</dc:title>
    <dc:creator>M. Giles and P. K. Newton</dc:creator>
    <dc:date>2026-06-05T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064404 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/cbkw-5s4b</dc:identifier>
    <prism:doi>10.1103/cbkw-5s4b</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-05T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/cbkw-5s4b</prism:url>
    <prism:startingPage>064404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/mf3s-pcwt">
    <title>Collective dynamics of natural killer cells interacting with cancer and fibroblast cells</title>
    <link>http://link.aps.org/doi/10.1103/mf3s-pcwt</link>
    <description>Author(s): Yun-Xuan Zhang, Shu-Chen Liu, and Lin I&lt;br/&gt;&lt;p&gt;The authors tested the response of natural killer cells cocultured with cancer cells and with fibroblasts. They found that natural killer cells targeted the cancer cells, but not fibroblasts. The natural killer cells clustered around cancer cells and promoted apoptosis, whereas they scouted around fibroblasts and did not form large aggregates. Generality of these responses could be established by testing additional normal cell types and tumor lines.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #BroadlyAccessible #Interdisciplinary&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/mf3s-pcwt.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, L062401] Published Thu Jun 04, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Yun-Xuan Zhang, Shu-Chen Liu, and Lin I</p><p>The authors tested the response of natural killer cells cocultured with cancer cells and with fibroblasts. They found that natural killer cells targeted the cancer cells, but not fibroblasts. The natural killer cells clustered around cancer cells and promoted apoptosis, whereas they scouted around fibroblasts and did not form large aggregates. Generality of these responses could be established by testing additional normal cell types and tumor lines.</p>
<p>#BiophysicsSpotlight #BroadlyAccessible #Interdisciplinary</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/mf3s-pcwt.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, L062401] Published Thu Jun 04, 2026</p>]]></content:encoded>
    <dc:title>Collective dynamics of natural killer cells interacting with cancer and fibroblast cells</dc:title>
    <dc:creator>Yun-Xuan Zhang, Shu-Chen Liu, and Lin I</dc:creator>
    <dc:date>2026-06-04T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, L062401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/mf3s-pcwt</dc:identifier>
    <prism:doi>10.1103/mf3s-pcwt</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-04T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/mf3s-pcwt</prism:url>
    <prism:startingPage>L062401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/6nhc-bjcl">
    <title>Detecting active Lévy particles using differential dynamic microscopy</title>
    <link>http://link.aps.org/doi/10.1103/6nhc-bjcl</link>
    <description>Author(s): Mingyang Li (李明洋), Yu'an Li (李聿安), H. P. Zhang (张何朋), and Yongfeng Zhao (赵永峰)&lt;br/&gt;&lt;p&gt;Detecting Lévy flights of cells has been a challenging problem in experiments. The challenge lies in accessing data in spatiotemporal scales across orders of magnitude, which is necessary for reliably extracting a power-law scaling. Differential dynamic microscopy has been shown to be a powerful met…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064403] Published Tue Jun 02, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Mingyang Li (李明洋), Yu'an Li (李聿安), H. P. Zhang (张何朋), and Yongfeng Zhao (赵永峰)</p><p>Detecting Lévy flights of cells has been a challenging problem in experiments. The challenge lies in accessing data in spatiotemporal scales across orders of magnitude, which is necessary for reliably extracting a power-law scaling. Differential dynamic microscopy has been shown to be a powerful met…</p><br/><p>[Phys. Rev. E 113, 064403] Published Tue Jun 02, 2026</p>]]></content:encoded>
    <dc:title>Detecting active Lévy particles using differential dynamic microscopy</dc:title>
    <dc:creator>Mingyang Li (李明洋), Yu'an Li (李聿安), H. P. Zhang (张何朋), and Yongfeng Zhao (赵永峰)</dc:creator>
    <dc:date>2026-06-02T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/6nhc-bjcl</dc:identifier>
    <prism:doi>10.1103/6nhc-bjcl</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-02T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/6nhc-bjcl</prism:url>
    <prism:startingPage>064403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/xwt5-rmjk">
    <title>Learning stochastic cellular dynamics from snapshots through bidirectional causal neural stochastic differential equations</title>
    <link>http://link.aps.org/doi/10.1103/xwt5-rmjk</link>
    <description>Author(s): Yuting Meng, Rabia Sultan, Peixuan Jiang, Qiuman Wang, Dian Tan, Jiao Wang, Peiluan Li, and Luonan Chen&lt;br/&gt;&lt;p&gt;Due to cell destruction in sequencing, time-series data yield unpaired snapshots, obscuring lineages and gene dynamics in individual cells. Current data-driven methods rely on single-variate expression, ignoring cell types and rotational effects in nonsteady states, limiting interpretability and acc…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064401] Published Mon Jun 01, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Yuting Meng, Rabia Sultan, Peixuan Jiang, Qiuman Wang, Dian Tan, Jiao Wang, Peiluan Li, and Luonan Chen</p><p>Due to cell destruction in sequencing, time-series data yield unpaired snapshots, obscuring lineages and gene dynamics in individual cells. Current data-driven methods rely on single-variate expression, ignoring cell types and rotational effects in nonsteady states, limiting interpretability and acc…</p><br/><p>[Phys. Rev. E 113, 064401] Published Mon Jun 01, 2026</p>]]></content:encoded>
    <dc:title>Learning stochastic cellular dynamics from snapshots through bidirectional causal neural stochastic differential equations</dc:title>
    <dc:creator>Yuting Meng, Rabia Sultan, Peixuan Jiang, Qiuman Wang, Dian Tan, Jiao Wang, Peiluan Li, and Luonan Chen</dc:creator>
    <dc:date>2026-06-01T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/xwt5-rmjk</dc:identifier>
    <prism:doi>10.1103/xwt5-rmjk</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-01T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/xwt5-rmjk</prism:url>
    <prism:startingPage>064401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/wsf9-5b8b">
    <title>Intrinsic noise suppression in protein allostery: Quantifying pathway redundancy via spanning tree statistics</title>
    <link>http://link.aps.org/doi/10.1103/wsf9-5b8b</link>
    <description>Author(s): Burak Erman&lt;br/&gt;&lt;p&gt;Allosteric regulation in proteins arises from collective dynamics distributed over networks of residue contacts, but how multiple communication pathways contribute to signal transmission and noise suppression remains unclear. Here we develop a spanning-tree-based framework to quantify allosteric com…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 064402] Published Mon Jun 01, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Burak Erman</p><p>Allosteric regulation in proteins arises from collective dynamics distributed over networks of residue contacts, but how multiple communication pathways contribute to signal transmission and noise suppression remains unclear. Here we develop a spanning-tree-based framework to quantify allosteric com…</p><br/><p>[Phys. Rev. E 113, 064402] Published Mon Jun 01, 2026</p>]]></content:encoded>
    <dc:title>Intrinsic noise suppression in protein allostery: Quantifying pathway redundancy via spanning tree statistics</dc:title>
    <dc:creator>Burak Erman</dc:creator>
    <dc:date>2026-06-01T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 064402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/wsf9-5b8b</dc:identifier>
    <prism:doi>10.1103/wsf9-5b8b</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2026-06-01T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/wsf9-5b8b</prism:url>
    <prism:startingPage>064402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/g6k5-nkbd">
    <title>Emergent domain segregation in self-interacting polymers explains chromosome 3D conformations in single human cells</title>
    <link>http://link.aps.org/doi/10.1103/g6k5-nkbd</link>
    <description>Author(s): Mattia Conte, Simona Bianco, Sougata Guha, Andrea M. Chiariello, Andrea Esposito, Alex Abraham, Sumanta Kundu, Francesca Vercellone, Andrea Fontana, Florinda Di Pierno, Ciro Di Carluccio, Matteo Olimpo, and Mario Nicodemi&lt;br/&gt;&lt;p&gt;Polymer physics models have been employed to elucidate the 3D organization of chromosomes in the cell nucleus. However, how well they capture chromatin architectures at the single-molecule level remains poorly understood. Here, we consider a minimal polymer model where folding is driven by sequence-…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054416] Published Thu May 28, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Mattia Conte, Simona Bianco, Sougata Guha, Andrea M. Chiariello, Andrea Esposito, Alex Abraham, Sumanta Kundu, Francesca Vercellone, Andrea Fontana, Florinda Di Pierno, Ciro Di Carluccio, Matteo Olimpo, and Mario Nicodemi</p><p>Polymer physics models have been employed to elucidate the 3D organization of chromosomes in the cell nucleus. However, how well they capture chromatin architectures at the single-molecule level remains poorly understood. Here, we consider a minimal polymer model where folding is driven by sequence-…</p><br/><p>[Phys. Rev. E 113, 054416] Published Thu May 28, 2026</p>]]></content:encoded>
    <dc:title>Emergent domain segregation in self-interacting polymers explains chromosome 3D conformations in single human cells</dc:title>
    <dc:creator>Mattia Conte, Simona Bianco, Sougata Guha, Andrea M. Chiariello, Andrea Esposito, Alex Abraham, Sumanta Kundu, Francesca Vercellone, Andrea Fontana, Florinda Di Pierno, Ciro Di Carluccio, Matteo Olimpo, and Mario Nicodemi</dc:creator>
    <dc:date>2026-05-28T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054416 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/g6k5-nkbd</dc:identifier>
    <prism:doi>10.1103/g6k5-nkbd</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-28T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/g6k5-nkbd</prism:url>
    <prism:startingPage>054416</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/krhp-fxv3">
    <title>Assessment of scoring functions for computational models of protein-protein interfaces</title>
    <link>http://link.aps.org/doi/10.1103/krhp-fxv3</link>
    <description>Author(s): Jacob Sumner, Naomi Brandt, Grace Meng, Devon Finlay, Alex T. Grigas, Andrés Córdoba, Mark D. Shattuck, and Corey S. O'Hern&lt;br/&gt;&lt;p&gt;An important goal of computational studies of protein-protein interfaces (PPIs) is to predict the binding site between two monomers that form a heterodimer. The simplest version of this problem is to rigidly redock the bound forms of the monomers, which involves generating computational models of th…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054417] Published Thu May 28, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Jacob Sumner, Naomi Brandt, Grace Meng, Devon Finlay, Alex T. Grigas, Andrés Córdoba, Mark D. Shattuck, and Corey S. O'Hern</p><p>An important goal of computational studies of protein-protein interfaces (PPIs) is to predict the binding site between two monomers that form a heterodimer. The simplest version of this problem is to rigidly redock the bound forms of the monomers, which involves generating computational models of th…</p><br/><p>[Phys. Rev. E 113, 054417] Published Thu May 28, 2026</p>]]></content:encoded>
    <dc:title>Assessment of scoring functions for computational models of protein-protein interfaces</dc:title>
    <dc:creator>Jacob Sumner, Naomi Brandt, Grace Meng, Devon Finlay, Alex T. Grigas, Andrés Córdoba, Mark D. Shattuck, and Corey S. O'Hern</dc:creator>
    <dc:date>2026-05-28T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054417 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/krhp-fxv3</dc:identifier>
    <prism:doi>10.1103/krhp-fxv3</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-28T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/krhp-fxv3</prism:url>
    <prism:startingPage>054417</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/jgm1-2lcd">
    <title>Effects of cell-cell communication on bacterial chemotaxis</title>
    <link>http://link.aps.org/doi/10.1103/jgm1-2lcd</link>
    <description>Author(s): Soutick Saha, Sean Fancher, and Andrew Mugler&lt;br/&gt;&lt;p&gt;Using a mathematical model, this manuscript investigates the effect of cell-cell communication on bacterial chemotaxis. The authors find that self-secreted chemoattractants can either promote or hinder chemotaxis, depending on parameters. Analytical results identify which parameters are critical to collective migration and offer insights for future experiments.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #Interdisciplinary #ClearMotivation&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/jgm1-2lcd.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 054415] Published Tue May 26, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Soutick Saha, Sean Fancher, and Andrew Mugler</p><p>Using a mathematical model, this manuscript investigates the effect of cell-cell communication on bacterial chemotaxis. The authors find that self-secreted chemoattractants can either promote or hinder chemotaxis, depending on parameters. Analytical results identify which parameters are critical to collective migration and offer insights for future experiments.</p>
<p>#BiophysicsSpotlight #Interdisciplinary #ClearMotivation</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/jgm1-2lcd.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 054415] Published Tue May 26, 2026</p>]]></content:encoded>
    <dc:title>Effects of cell-cell communication on bacterial chemotaxis</dc:title>
    <dc:creator>Soutick Saha, Sean Fancher, and Andrew Mugler</dc:creator>
    <dc:date>2026-05-26T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054415 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/jgm1-2lcd</dc:identifier>
    <prism:doi>10.1103/jgm1-2lcd</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-26T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/jgm1-2lcd</prism:url>
    <prism:startingPage>054415</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/vzsr-qztg">
    <title>Landscape description of the dynamics of Turing patterns</title>
    <link>http://link.aps.org/doi/10.1103/vzsr-qztg</link>
    <description>Author(s): Shubham Shinde and Archishman Raju&lt;br/&gt;&lt;p&gt;Turing patterns are a well-studied model of reaction-diffusion equations for developmental patterning. Their applicability has often been limited by the difficulty in identifying candidate molecules that satisfy the requisite criteria for patterning. Here, we build on recent work on geometric models…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054413] Published Wed May 20, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Shubham Shinde and Archishman Raju</p><p>Turing patterns are a well-studied model of reaction-diffusion equations for developmental patterning. Their applicability has often been limited by the difficulty in identifying candidate molecules that satisfy the requisite criteria for patterning. Here, we build on recent work on geometric models…</p><br/><p>[Phys. Rev. E 113, 054413] Published Wed May 20, 2026</p>]]></content:encoded>
    <dc:title>Landscape description of the dynamics of Turing patterns</dc:title>
    <dc:creator>Shubham Shinde and Archishman Raju</dc:creator>
    <dc:date>2026-05-20T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054413 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/vzsr-qztg</dc:identifier>
    <prism:doi>10.1103/vzsr-qztg</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-20T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/vzsr-qztg</prism:url>
    <prism:startingPage>054413</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/577y-67w1">
    <title>Group size shapes interactions in confined minimal active biological collectives</title>
    <link>http://link.aps.org/doi/10.1103/577y-67w1</link>
    <description>Author(s): Denis Horvath, Alena Strejčková, Zoltán Tomori, Richard Galajda, and Gregor Bánó&lt;br/&gt;&lt;p&gt;The authors investigated interactions in groups of freshwater shrimp confined to a circular space. They introduced a model in which the orientation of each shrimp is mapped with spin aligned or antialigned with the boundary. They identified a distinct progression in network organization with increasing group size. Shrimp were selected as examples of active particles in a nonequilibrium system. The authors expect that collective behavior in other systems could be studied with the framework presented here.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #ClearMotivation #Interdisciplinary&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/577y-67w1.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 054414] Published Wed May 20, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Denis Horvath, Alena Strejčková, Zoltán Tomori, Richard Galajda, and Gregor Bánó</p><p>The authors investigated interactions in groups of freshwater shrimp confined to a circular space. They introduced a model in which the orientation of each shrimp is mapped with spin aligned or antialigned with the boundary. They identified a distinct progression in network organization with increasing group size. Shrimp were selected as examples of active particles in a nonequilibrium system. The authors expect that collective behavior in other systems could be studied with the framework presented here.</p>
<p>#BiophysicsSpotlight #ClearMotivation #Interdisciplinary</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/577y-67w1.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 054414] Published Wed May 20, 2026</p>]]></content:encoded>
    <dc:title>Group size shapes interactions in confined minimal active biological collectives</dc:title>
    <dc:creator>Denis Horvath, Alena Strejčková, Zoltán Tomori, Richard Galajda, and Gregor Bánó</dc:creator>
    <dc:date>2026-05-20T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054414 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/577y-67w1</dc:identifier>
    <prism:doi>10.1103/577y-67w1</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-20T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/577y-67w1</prism:url>
    <prism:startingPage>054414</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/nyts-2vk1">
    <title>Decoding species coexistence: A reinforcement learning perspective</title>
    <link>http://link.aps.org/doi/10.1103/nyts-2vk1</link>
    <description>Author(s): Kaiwen Jiang, Chenyang Zhao, Shengfeng Deng, Weiran Cai, Jiqiang Zhang, and Li Chen&lt;br/&gt;&lt;p&gt;This paper investigates maintenance of biodiversity in a spatial rock-paper-scissors game. The authors use reinforcement learning at the species level, rather than at an individual level, so that mobility in this model operates on “collective wisdom” of the species. Survival of biodiversity depends on the balance between two prominent tendencies: survival-priority (escaping from predators) and predation-priority (remaining near prey).&lt;/p&gt;
&lt;p&gt;#ClearMotvation&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/nyts-2vk1.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 054411] Published Mon May 18, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Kaiwen Jiang, Chenyang Zhao, Shengfeng Deng, Weiran Cai, Jiqiang Zhang, and Li Chen</p><p>This paper investigates maintenance of biodiversity in a spatial rock-paper-scissors game. The authors use reinforcement learning at the species level, rather than at an individual level, so that mobility in this model operates on “collective wisdom” of the species. Survival of biodiversity depends on the balance between two prominent tendencies: survival-priority (escaping from predators) and predation-priority (remaining near prey).</p>
<p>#ClearMotvation</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/nyts-2vk1.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 054411] Published Mon May 18, 2026</p>]]></content:encoded>
    <dc:title>Decoding species coexistence: A reinforcement learning perspective</dc:title>
    <dc:creator>Kaiwen Jiang, Chenyang Zhao, Shengfeng Deng, Weiran Cai, Jiqiang Zhang, and Li Chen</dc:creator>
    <dc:date>2026-05-18T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054411 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/nyts-2vk1</dc:identifier>
    <prism:doi>10.1103/nyts-2vk1</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-18T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/nyts-2vk1</prism:url>
    <prism:startingPage>054411</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/1jq3-q1vf">
    <title>Multiscale pattern complexity in dry-land vegetation: A simplified modeling approach incorporating root augmentation and stratified soil water dynamics</title>
    <link>http://link.aps.org/doi/10.1103/1jq3-q1vf</link>
    <description>Author(s): Sounov Marick and Nandadulal Bairagi&lt;br/&gt;&lt;p&gt;Vegetation in arid and semi-arid ecosystems often exhibits self-organized spatial patterns as a collective adaptation to water limitation. While reaction-diffusion models have successfully captured such pattern formation, the influence of individual-level traits, particularly root phenotypic plastic…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054412] Published Mon May 18, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Sounov Marick and Nandadulal Bairagi</p><p>Vegetation in arid and semi-arid ecosystems often exhibits self-organized spatial patterns as a collective adaptation to water limitation. While reaction-diffusion models have successfully captured such pattern formation, the influence of individual-level traits, particularly root phenotypic plastic…</p><br/><p>[Phys. Rev. E 113, 054412] Published Mon May 18, 2026</p>]]></content:encoded>
    <dc:title>Multiscale pattern complexity in dry-land vegetation: A simplified modeling approach incorporating root augmentation and stratified soil water dynamics</dc:title>
    <dc:creator>Sounov Marick and Nandadulal Bairagi</dc:creator>
    <dc:date>2026-05-18T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054412 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/1jq3-q1vf</dc:identifier>
    <prism:doi>10.1103/1jq3-q1vf</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-18T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/1jq3-q1vf</prism:url>
    <prism:startingPage>054412</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/tfss-x1jb">
    <title>Bistability in filamentous actin through monomer-sequestration of an effector species</title>
    <link>http://link.aps.org/doi/10.1103/tfss-x1jb</link>
    <description>Author(s): Panayiotis Foteinopoulos and Bela M. Mulder&lt;br/&gt;&lt;p&gt;Filamentous actin, a species of dynamic protein polymers, is one of the main components of the cytoskeleton of eukaryotic cells. We formulate a class of models that predict the possibility of bistable steady states in populations of dynamic actin filaments. They are built upon a basic model of actin…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054410] Published Fri May 15, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Panayiotis Foteinopoulos and Bela M. Mulder</p><p>Filamentous actin, a species of dynamic protein polymers, is one of the main components of the cytoskeleton of eukaryotic cells. We formulate a class of models that predict the possibility of bistable steady states in populations of dynamic actin filaments. They are built upon a basic model of actin…</p><br/><p>[Phys. Rev. E 113, 054410] Published Fri May 15, 2026</p>]]></content:encoded>
    <dc:title>Bistability in filamentous actin through monomer-sequestration of an effector species</dc:title>
    <dc:creator>Panayiotis Foteinopoulos and Bela M. Mulder</dc:creator>
    <dc:date>2026-05-15T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054410 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/tfss-x1jb</dc:identifier>
    <prism:doi>10.1103/tfss-x1jb</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-15T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/tfss-x1jb</prism:url>
    <prism:startingPage>054410</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/br8x-p6rq">
    <title>Active spin model for cell assemblies on 1D substrates</title>
    <link>http://link.aps.org/doi/10.1103/br8x-p6rq</link>
    <description>Author(s): Harshal Potdar, Ignacio Pagonabarraga, and Sudipto Muhuri&lt;br/&gt;&lt;p&gt;The experimental use of micropatterned quasi-one-dimensional substrates has emerged as a useful experimental tool to study the nature of cell-cell interactions and gain insight on collective behavior of cell colonies. Inspired by these experiments, we propose an active spin model to investigate the …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054408] Published Thu May 14, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Harshal Potdar, Ignacio Pagonabarraga, and Sudipto Muhuri</p><p>The experimental use of micropatterned quasi-one-dimensional substrates has emerged as a useful experimental tool to study the nature of cell-cell interactions and gain insight on collective behavior of cell colonies. Inspired by these experiments, we propose an active spin model to investigate the …</p><br/><p>[Phys. Rev. E 113, 054408] Published Thu May 14, 2026</p>]]></content:encoded>
    <dc:title>Active spin model for cell assemblies on 1D substrates</dc:title>
    <dc:creator>Harshal Potdar, Ignacio Pagonabarraga, and Sudipto Muhuri</dc:creator>
    <dc:date>2026-05-14T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054408 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/br8x-p6rq</dc:identifier>
    <prism:doi>10.1103/br8x-p6rq</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-14T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/br8x-p6rq</prism:url>
    <prism:startingPage>054408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/78jb-mtnq">
    <title>Modeling spatial synchronization of predator-prey oscillations via the $XY$ model under demographic stochasticity and migration</title>
    <link>http://link.aps.org/doi/10.1103/78jb-mtnq</link>
    <description>Author(s): Solmaz Golmohammadi, Mina Zarei, and Jacopo Grilli&lt;br/&gt;&lt;p&gt;At the intersection of population ecology and statistical physics, this study addresses how two factors, demographic stochasticity and migration, govern the emergence of large-scale synchronization in predator-prey metapopulations. The authors demonstrate that the collective phase dynamics of coupled ecological oscillators can be rigorously mapped onto a theoretical framework analogous to the classic &lt;math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"&gt;&lt;mrow&gt;&lt;mi&gt;X&lt;/mi&gt;&lt;mspace width="0"&gt;&lt;/mspace&gt;&lt;mi&gt;Y&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; model of statistical mechanics.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #Interdisciplinary&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/78jb-mtnq.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 054409] Published Wed May 13, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Solmaz Golmohammadi, Mina Zarei, and Jacopo Grilli</p><p>At the intersection of population ecology and statistical physics, this study addresses how two factors, demographic stochasticity and migration, govern the emergence of large-scale synchronization in predator-prey metapopulations. The authors demonstrate that the collective phase dynamics of coupled ecological oscillators can be rigorously mapped onto a theoretical framework analogous to the classic <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mi>X</mi><mspace width="0"></mspace><mi>Y</mi></mrow></math> model of statistical mechanics.</p>
<p>#BiophysicsSpotlight #Interdisciplinary</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/78jb-mtnq.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 054409] Published Wed May 13, 2026</p>]]></content:encoded>
    <dc:title>Modeling spatial synchronization of predator-prey oscillations via the $XY$ model under demographic stochasticity and migration</dc:title>
    <dc:creator>Solmaz Golmohammadi, Mina Zarei, and Jacopo Grilli</dc:creator>
    <dc:date>2026-05-13T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054409 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/78jb-mtnq</dc:identifier>
    <prism:doi>10.1103/78jb-mtnq</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-13T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/78jb-mtnq</prism:url>
    <prism:startingPage>054409</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/rqx9-t4l4">
    <title>Nuclear pore complex distribution on the nuclear envelope: Insights into curvature, chromatin, and actin contributions</title>
    <link>http://link.aps.org/doi/10.1103/rqx9-t4l4</link>
    <description>Author(s): Hugo Lachuer, Orestis Faklaris, Sylvie Hénon, Fabien Montel, and David Pereira&lt;br/&gt;&lt;p&gt;The Nuclear Pore Complex (NPC) is an ancestral feature of eukaryotic cells, essential for the exchange of material and information between cytoplasm and nucleoplasm. While typical eukaryotic cells harbor thousands of NPCs covering the nuclear surface, a quantitative characterization of their spatial…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054407] Published Tue May 12, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Hugo Lachuer, Orestis Faklaris, Sylvie Hénon, Fabien Montel, and David Pereira</p><p>The Nuclear Pore Complex (NPC) is an ancestral feature of eukaryotic cells, essential for the exchange of material and information between cytoplasm and nucleoplasm. While typical eukaryotic cells harbor thousands of NPCs covering the nuclear surface, a quantitative characterization of their spatial…</p><br/><p>[Phys. Rev. E 113, 054407] Published Tue May 12, 2026</p>]]></content:encoded>
    <dc:title>Nuclear pore complex distribution on the nuclear envelope: Insights into curvature, chromatin, and actin contributions</dc:title>
    <dc:creator>Hugo Lachuer, Orestis Faklaris, Sylvie Hénon, Fabien Montel, and David Pereira</dc:creator>
    <dc:date>2026-05-12T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054407 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/rqx9-t4l4</dc:identifier>
    <prism:doi>10.1103/rqx9-t4l4</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-12T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/rqx9-t4l4</prism:url>
    <prism:startingPage>054407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/7mtw-wvkx">
    <title>DNA melting: Intra-base-pair dynamics and a vector generalization of the Peyrard-Bishop-Dauxois model</title>
    <link>http://link.aps.org/doi/10.1103/7mtw-wvkx</link>
    <description>Author(s): Nikos Theodorakopoulos&lt;br/&gt;&lt;p&gt;The Peyrard-Bishop-Dauxois (PBD) model of DNA denaturation, although successful in the description of melting profiles, fails to predict melting entropies, unzipping forces, and dynamical properties, e.g., hairpin dynamics. The paper presents an atomistic “toy model” of the intra-base-pair motion wh…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054405] Published Mon May 11, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Nikos Theodorakopoulos</p><p>The Peyrard-Bishop-Dauxois (PBD) model of DNA denaturation, although successful in the description of melting profiles, fails to predict melting entropies, unzipping forces, and dynamical properties, e.g., hairpin dynamics. The paper presents an atomistic “toy model” of the intra-base-pair motion wh…</p><br/><p>[Phys. Rev. E 113, 054405] Published Mon May 11, 2026</p>]]></content:encoded>
    <dc:title>DNA melting: Intra-base-pair dynamics and a vector generalization of the Peyrard-Bishop-Dauxois model</dc:title>
    <dc:creator>Nikos Theodorakopoulos</dc:creator>
    <dc:date>2026-05-11T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054405 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/7mtw-wvkx</dc:identifier>
    <prism:doi>10.1103/7mtw-wvkx</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-11T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/7mtw-wvkx</prism:url>
    <prism:startingPage>054405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/hmyq-c1j2">
    <title>Inhibitory cell type heterogeneity in a spatially structured mean-field model of V1</title>
    <link>http://link.aps.org/doi/10.1103/hmyq-c1j2</link>
    <description>Author(s): Soon Ho Kim and Hannah Choi&lt;br/&gt;&lt;p&gt;Inhibitory interneurons in the cortex are classified into cell types differing in their morphology, electrophysiology, and connectivity. Although it is known that parvalbumin (PV), somatostatin (SST), and vasoactive intestinal polypeptide-expressing neurons (VIP), the major inhibitory neuron subtype…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054406] Published Mon May 11, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Soon Ho Kim and Hannah Choi</p><p>Inhibitory interneurons in the cortex are classified into cell types differing in their morphology, electrophysiology, and connectivity. Although it is known that parvalbumin (PV), somatostatin (SST), and vasoactive intestinal polypeptide-expressing neurons (VIP), the major inhibitory neuron subtype…</p><br/><p>[Phys. Rev. E 113, 054406] Published Mon May 11, 2026</p>]]></content:encoded>
    <dc:title>Inhibitory cell type heterogeneity in a spatially structured mean-field model of V1</dc:title>
    <dc:creator>Soon Ho Kim and Hannah Choi</dc:creator>
    <dc:date>2026-05-11T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054406 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/hmyq-c1j2</dc:identifier>
    <prism:doi>10.1103/hmyq-c1j2</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-11T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/hmyq-c1j2</prism:url>
    <prism:startingPage>054406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/nppw-z5lv">
    <title>Adaptation to extreme stress under the growth-survival fitness trade-off</title>
    <link>http://link.aps.org/doi/10.1103/nppw-z5lv</link>
    <description>Author(s): Nandita Chaturvedi, Charuhansini Tvishamayi, and Shashi Thutupalli&lt;br/&gt;&lt;p&gt;Microbial adaptation to extreme stress, such as starvation, antimicrobial exposure, or freezing, often reveals fundamental trade-offs between survival and proliferation. Understanding how populations navigate these trade-offs in fluctuating environments remains a central challenge. We develop a quan…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054403] Published Fri May 08, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Nandita Chaturvedi, Charuhansini Tvishamayi, and Shashi Thutupalli</p><p>Microbial adaptation to extreme stress, such as starvation, antimicrobial exposure, or freezing, often reveals fundamental trade-offs between survival and proliferation. Understanding how populations navigate these trade-offs in fluctuating environments remains a central challenge. We develop a quan…</p><br/><p>[Phys. Rev. E 113, 054403] Published Fri May 08, 2026</p>]]></content:encoded>
    <dc:title>Adaptation to extreme stress under the growth-survival fitness trade-off</dc:title>
    <dc:creator>Nandita Chaturvedi, Charuhansini Tvishamayi, and Shashi Thutupalli</dc:creator>
    <dc:date>2026-05-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/nppw-z5lv</dc:identifier>
    <prism:doi>10.1103/nppw-z5lv</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/nppw-z5lv</prism:url>
    <prism:startingPage>054403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/zty8-yj5p">
    <title>Optimization of sequential therapies to maximize extinction of resistant bacteria through collateral sensitivity</title>
    <link>http://link.aps.org/doi/10.1103/zty8-yj5p</link>
    <description>Author(s): Javier Molina-Hernández, José A. Cuesta, Beatriz Pascual-Escudero, Saúl Ares, and Pablo Catalán&lt;br/&gt;&lt;p&gt;Antimicrobial resistance (AMR) threatens global health. A promising and underexplored strategy to tackle this problem is sequential therapies exploiting collateral sensitivity (CS), whereby resistance to one drug increases sensitivity to another. Here, we develop a four-genotype stochastic birth-dea…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054404] Published Fri May 08, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Javier Molina-Hernández, José A. Cuesta, Beatriz Pascual-Escudero, Saúl Ares, and Pablo Catalán</p><p>Antimicrobial resistance (AMR) threatens global health. A promising and underexplored strategy to tackle this problem is sequential therapies exploiting collateral sensitivity (CS), whereby resistance to one drug increases sensitivity to another. Here, we develop a four-genotype stochastic birth-dea…</p><br/><p>[Phys. Rev. E 113, 054404] Published Fri May 08, 2026</p>]]></content:encoded>
    <dc:title>Optimization of sequential therapies to maximize extinction of resistant bacteria through collateral sensitivity</dc:title>
    <dc:creator>Javier Molina-Hernández, José A. Cuesta, Beatriz Pascual-Escudero, Saúl Ares, and Pablo Catalán</dc:creator>
    <dc:date>2026-05-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054404 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/zty8-yj5p</dc:identifier>
    <prism:doi>10.1103/zty8-yj5p</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/zty8-yj5p</prism:url>
    <prism:startingPage>054404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/ktss-zp41">
    <title>Bacteria harness torque-induced buckling instability for flagellar wrapping</title>
    <link>http://link.aps.org/doi/10.1103/ktss-zp41</link>
    <description>Author(s): Takuro Kataoka, Taiju Yoneda, Daisuke Nakane, and Hirofumi Wada&lt;br/&gt;&lt;p&gt;Recent advances in microscopy techniques has uncovered unique aspects of flagella-driven motility in bacteria. A remarkable example is the discovery of flagellar wrapping, a phenomenon whereby a bacterium wraps its flagellum (or flagellar bundle) around its cell body and propels itself like a corksc…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054402] Published Wed May 06, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Takuro Kataoka, Taiju Yoneda, Daisuke Nakane, and Hirofumi Wada</p><p>Recent advances in microscopy techniques has uncovered unique aspects of flagella-driven motility in bacteria. A remarkable example is the discovery of flagellar wrapping, a phenomenon whereby a bacterium wraps its flagellum (or flagellar bundle) around its cell body and propels itself like a corksc…</p><br/><p>[Phys. Rev. E 113, 054402] Published Wed May 06, 2026</p>]]></content:encoded>
    <dc:title>Bacteria harness torque-induced buckling instability for flagellar wrapping</dc:title>
    <dc:creator>Takuro Kataoka, Taiju Yoneda, Daisuke Nakane, and Hirofumi Wada</dc:creator>
    <dc:date>2026-05-06T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/ktss-zp41</dc:identifier>
    <prism:doi>10.1103/ktss-zp41</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-06T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/ktss-zp41</prism:url>
    <prism:startingPage>054402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/9hdm-1lrv">
    <title>Compaction and swelling of single stretched DNAs driven by molecular crowding</title>
    <link>http://link.aps.org/doi/10.1103/9hdm-1lrv</link>
    <description>Author(s): Paritosh Gupta, John F. Marko, and Vittore F. Scolari&lt;br/&gt;&lt;p&gt;We present a theory for the effects of osmotic pressure exerted by macromolecular crowders on a double-stranded DNA or other semiflexible polymer extended by tension. Our results predict the force and crowder-density dependence of the polymer extension. The lowest-order effect is a crowder-dependent…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, L052401] Published Wed May 06, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Paritosh Gupta, John F. Marko, and Vittore F. Scolari</p><p>We present a theory for the effects of osmotic pressure exerted by macromolecular crowders on a double-stranded DNA or other semiflexible polymer extended by tension. Our results predict the force and crowder-density dependence of the polymer extension. The lowest-order effect is a crowder-dependent…</p><br/><p>[Phys. Rev. E 113, L052401] Published Wed May 06, 2026</p>]]></content:encoded>
    <dc:title>Compaction and swelling of single stretched DNAs driven by molecular crowding</dc:title>
    <dc:creator>Paritosh Gupta, John F. Marko, and Vittore F. Scolari</dc:creator>
    <dc:date>2026-05-06T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, L052401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/9hdm-1lrv</dc:identifier>
    <prism:doi>10.1103/9hdm-1lrv</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-06T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/9hdm-1lrv</prism:url>
    <prism:startingPage>L052401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/j778-39sg">
    <title>Exact results for stochastic transcription with promoter-proximal pausing and initiation-state-dependent lifetimes</title>
    <link>http://link.aps.org/doi/10.1103/j778-39sg</link>
    <description>Author(s): Ling Yin, Zhenquan Zhang, Zihao Wang, Xiyan Yang, Changhong Shi, Yong Wang, Yong-Xin Guo, and Jiajun Zhang&lt;br/&gt;&lt;p&gt;Promoter-proximal pausing is a key regulatory checkpoint in RNA polymerase II transcription, yet current models lack a unified description of how arrival-state-dependent pause heterogeneity shapes nascent transcriptional occupancy, completion flux, and steady-state mature mRNA levels. We introduce a…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 054401] Published Tue May 05, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Ling Yin, Zhenquan Zhang, Zihao Wang, Xiyan Yang, Changhong Shi, Yong Wang, Yong-Xin Guo, and Jiajun Zhang</p><p>Promoter-proximal pausing is a key regulatory checkpoint in RNA polymerase II transcription, yet current models lack a unified description of how arrival-state-dependent pause heterogeneity shapes nascent transcriptional occupancy, completion flux, and steady-state mature mRNA levels. We introduce a…</p><br/><p>[Phys. Rev. E 113, 054401] Published Tue May 05, 2026</p>]]></content:encoded>
    <dc:title>Exact results for stochastic transcription with promoter-proximal pausing and initiation-state-dependent lifetimes</dc:title>
    <dc:creator>Ling Yin, Zhenquan Zhang, Zihao Wang, Xiyan Yang, Changhong Shi, Yong Wang, Yong-Xin Guo, and Jiajun Zhang</dc:creator>
    <dc:date>2026-05-05T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 054401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/j778-39sg</dc:identifier>
    <prism:doi>10.1103/j778-39sg</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2026-05-05T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/j778-39sg</prism:url>
    <prism:startingPage>054401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/9h19-b6ht">
    <title>Model reduction, coherence, and information transfer in stochastic biochemical systems</title>
    <link>http://link.aps.org/doi/10.1103/9h19-b6ht</link>
    <description>Author(s): Juan David Marmolejo-Lozano, Nikola Popović, and Ramon Grima&lt;br/&gt;&lt;p&gt;Simplified stochastic models are widely used in the study of frequency-resolved noise propagation in biochemical reaction networks, a common measure being the coherence between random fluctuations in molecule number trajectories. Such models have also found widespread application in the quantificati…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044416] Published Wed Apr 29, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Juan David Marmolejo-Lozano, Nikola Popović, and Ramon Grima</p><p>Simplified stochastic models are widely used in the study of frequency-resolved noise propagation in biochemical reaction networks, a common measure being the coherence between random fluctuations in molecule number trajectories. Such models have also found widespread application in the quantificati…</p><br/><p>[Phys. Rev. E 113, 044416] Published Wed Apr 29, 2026</p>]]></content:encoded>
    <dc:title>Model reduction, coherence, and information transfer in stochastic biochemical systems</dc:title>
    <dc:creator>Juan David Marmolejo-Lozano, Nikola Popović, and Ramon Grima</dc:creator>
    <dc:date>2026-04-29T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044416 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/9h19-b6ht</dc:identifier>
    <prism:doi>10.1103/9h19-b6ht</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-29T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/9h19-b6ht</prism:url>
    <prism:startingPage>044416</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/4ljm-gy5p">
    <title>Fitness inference tested by in silico population genetics</title>
    <link>http://link.aps.org/doi/10.1103/4ljm-gy5p</link>
    <description>Author(s): Hong-Li Zeng, Yu-Han Huang, Erik Aurell, and John Barton&lt;br/&gt;&lt;p&gt;We consider populations evolving according to natural selection, mutation, and recombination and assume that the genomes of all or a representative selection of individuals are known. We pose the problem of whether it is possible to infer fitness parameters and genotype fitness order from such data.…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044415] Published Wed Apr 22, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Hong-Li Zeng, Yu-Han Huang, Erik Aurell, and John Barton</p><p>We consider populations evolving according to natural selection, mutation, and recombination and assume that the genomes of all or a representative selection of individuals are known. We pose the problem of whether it is possible to infer fitness parameters and genotype fitness order from such data.…</p><br/><p>[Phys. Rev. E 113, 044415] Published Wed Apr 22, 2026</p>]]></content:encoded>
    <dc:title>Fitness inference tested by in silico population genetics</dc:title>
    <dc:creator>Hong-Li Zeng, Yu-Han Huang, Erik Aurell, and John Barton</dc:creator>
    <dc:date>2026-04-22T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044415 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/4ljm-gy5p</dc:identifier>
    <prism:doi>10.1103/4ljm-gy5p</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-22T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/4ljm-gy5p</prism:url>
    <prism:startingPage>044415</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/89pw-c35q">
    <title>Self-trapping of microorganisms steering toward their own trail</title>
    <link>http://link.aps.org/doi/10.1103/89pw-c35q</link>
    <description>Author(s): Aymeric Lutier, Jean-Baptiste Fournier, and Frédéric van Wijland&lt;br/&gt;&lt;p&gt;Active matter systems comprise self-propelled particles that move on a substrate while leaving chemical trails that influence other particles through chemotaxis (e.g., slime-depositing bacteria). Orientational chemotaxis manifests as a torque that steers the particle toward the chemical gradient. As…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044413] Published Fri Apr 17, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Aymeric Lutier, Jean-Baptiste Fournier, and Frédéric van Wijland</p><p>Active matter systems comprise self-propelled particles that move on a substrate while leaving chemical trails that influence other particles through chemotaxis (e.g., slime-depositing bacteria). Orientational chemotaxis manifests as a torque that steers the particle toward the chemical gradient. As…</p><br/><p>[Phys. Rev. E 113, 044413] Published Fri Apr 17, 2026</p>]]></content:encoded>
    <dc:title>Self-trapping of microorganisms steering toward their own trail</dc:title>
    <dc:creator>Aymeric Lutier, Jean-Baptiste Fournier, and Frédéric van Wijland</dc:creator>
    <dc:date>2026-04-17T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044413 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/89pw-c35q</dc:identifier>
    <prism:doi>10.1103/89pw-c35q</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-17T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/89pw-c35q</prism:url>
    <prism:startingPage>044413</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/z9xd-xbw5">
    <title>Perfect adaptation in eukaryotic gradient sensing using cooperative allosteric binding</title>
    <link>http://link.aps.org/doi/10.1103/z9xd-xbw5</link>
    <description>Author(s): Vishnu Srinivasan, Wei Wang (汪巍), and Brian A. Camley&lt;br/&gt;&lt;p&gt;This study introduces a theoretical model explaining how eukaryotic cells can achieve perfect adaptation in chemical gradient sensing through cooperative allosteric regulation of receptor activity.&lt;/p&gt;
&lt;p&gt;#AdvancingField #BiophysicsSpotlight&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/z9xd-xbw5.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 044414] Published Fri Apr 17, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Vishnu Srinivasan, Wei Wang (汪巍), and Brian A. Camley</p><p>This study introduces a theoretical model explaining how eukaryotic cells can achieve perfect adaptation in chemical gradient sensing through cooperative allosteric regulation of receptor activity.</p>
<p>#AdvancingField #BiophysicsSpotlight</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/z9xd-xbw5.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 044414] Published Fri Apr 17, 2026</p>]]></content:encoded>
    <dc:title>Perfect adaptation in eukaryotic gradient sensing using cooperative allosteric binding</dc:title>
    <dc:creator>Vishnu Srinivasan, Wei Wang (汪巍), and Brian A. Camley</dc:creator>
    <dc:date>2026-04-17T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044414 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/z9xd-xbw5</dc:identifier>
    <prism:doi>10.1103/z9xd-xbw5</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-17T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/z9xd-xbw5</prism:url>
    <prism:startingPage>044414</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/31k4-nq97">
    <title>The FlEye camera: Sampling the joint distribution of natural scenes and motion</title>
    <link>http://link.aps.org/doi/10.1103/31k4-nq97</link>
    <description>Author(s): Charles J. Edelson, Paul Smith, Sima Setayeshgar, William Bialek, and Rob R. de Ruyter van Steveninck&lt;br/&gt;&lt;p&gt;By pairing a fly-eye-inspired camera with motion signals, this study shows that characteristic perceptual biases arise from input statistics. From camera data sampled in nature, the authors construct optimal motion estimators, suggesting that biological performance is limited more by environmental statistics than physiology.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #ElegantVisuals #TheoryExperiment&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/31k4-nq97.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 044412] Published Tue Apr 14, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Charles J. Edelson, Paul Smith, Sima Setayeshgar, William Bialek, and Rob R. de Ruyter van Steveninck</p><p>By pairing a fly-eye-inspired camera with motion signals, this study shows that characteristic perceptual biases arise from input statistics. From camera data sampled in nature, the authors construct optimal motion estimators, suggesting that biological performance is limited more by environmental statistics than physiology.</p>
<p>#BiophysicsSpotlight #ElegantVisuals #TheoryExperiment</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/31k4-nq97.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 044412] Published Tue Apr 14, 2026</p>]]></content:encoded>
    <dc:title>The FlEye camera: Sampling the joint distribution of natural scenes and motion</dc:title>
    <dc:creator>Charles J. Edelson, Paul Smith, Sima Setayeshgar, William Bialek, and Rob R. de Ruyter van Steveninck</dc:creator>
    <dc:date>2026-04-14T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044412 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/31k4-nq97</dc:identifier>
    <prism:doi>10.1103/31k4-nq97</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-14T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/31k4-nq97</prism:url>
    <prism:startingPage>044412</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/kzdj-53jf">
    <title>Dynamics of inducible genetic circuits</title>
    <link>http://link.aps.org/doi/10.1103/kzdj-53jf</link>
    <description>Author(s): Zitao Yang, Rebecca J. Rousseau, Sara D. Mahdavi, Hernan G. Garcia, and Rob Phillips&lt;br/&gt;&lt;p&gt;Genes are connected in complex networks of interactions where often the product of one gene is a transcription factor that alters the expression of another. Many of these networks are based on a few fundamental motifs leading to switches and oscillators of various kinds. And, yet, there is more to t…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044409] Published Mon Apr 13, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Zitao Yang, Rebecca J. Rousseau, Sara D. Mahdavi, Hernan G. Garcia, and Rob Phillips</p><p>Genes are connected in complex networks of interactions where often the product of one gene is a transcription factor that alters the expression of another. Many of these networks are based on a few fundamental motifs leading to switches and oscillators of various kinds. And, yet, there is more to t…</p><br/><p>[Phys. Rev. E 113, 044409] Published Mon Apr 13, 2026</p>]]></content:encoded>
    <dc:title>Dynamics of inducible genetic circuits</dc:title>
    <dc:creator>Zitao Yang, Rebecca J. Rousseau, Sara D. Mahdavi, Hernan G. Garcia, and Rob Phillips</dc:creator>
    <dc:date>2026-04-13T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044409 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/kzdj-53jf</dc:identifier>
    <prism:doi>10.1103/kzdj-53jf</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-13T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/kzdj-53jf</prism:url>
    <prism:startingPage>044409</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/gq4t-hpgz">
    <title>Directed swimming of $Chlamydomonas reinhardtii$ near complex microstructures</title>
    <link>http://link.aps.org/doi/10.1103/gq4t-hpgz</link>
    <description>Author(s): Chunhe Li, Hongyi Bian, Zixiang Lin, Yi Man, and Zijie Qu&lt;br/&gt;&lt;p&gt;The locomotion of microorganisms near solid-liquid interfaces is of significant scientific interest due to its relevance in various natural and industrial contexts, including biofilm formation and marine biofouling. In this study, we investigate the swimming behavior of $C.\phantom{\rule{4pt}{0ex}}\…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044410] Published Mon Apr 13, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Chunhe Li, Hongyi Bian, Zixiang Lin, Yi Man, and Zijie Qu</p><p>The locomotion of microorganisms near solid-liquid interfaces is of significant scientific interest due to its relevance in various natural and industrial contexts, including biofilm formation and marine biofouling. In this study, we investigate the swimming behavior of <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>C</mi><mo>.</mo><mspace width="4pt"></mspace><mi mathvariant="italic">reinhardtii</mi></mrow></math> near a sinusoid…</p><br/><p>[Phys. Rev. E 113, 044410] Published Mon Apr 13, 2026</p>]]></content:encoded>
    <dc:title>Directed swimming of $Chlamydomonas reinhardtii$ near complex microstructures</dc:title>
    <dc:creator>Chunhe Li, Hongyi Bian, Zixiang Lin, Yi Man, and Zijie Qu</dc:creator>
    <dc:date>2026-04-13T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044410 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/gq4t-hpgz</dc:identifier>
    <prism:doi>10.1103/gq4t-hpgz</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-13T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/gq4t-hpgz</prism:url>
    <prism:startingPage>044410</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/qj5f-f4d5">
    <title>Dynamical diversity in conductance-based neuron response to kilohertz electrical stimulation</title>
    <link>http://link.aps.org/doi/10.1103/qj5f-f4d5</link>
    <description>Author(s): J. G. Polli, F. Kolbl, P. Lanusse, and M. G. E. da Luz&lt;br/&gt;&lt;p&gt;Neurons are notably rich in structure and functioning, so rather diverse in their response to stimuli. Consequently, the proper characterization of their dynamical response to external signals is a crucial step in understanding stimulation mechanisms. In particular, kilohertz (kHz) neuronal electric…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044411] Published Mon Apr 13, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): J. G. Polli, F. Kolbl, P. Lanusse, and M. G. E. da Luz</p><p>Neurons are notably rich in structure and functioning, so rather diverse in their response to stimuli. Consequently, the proper characterization of their dynamical response to external signals is a crucial step in understanding stimulation mechanisms. In particular, kilohertz (kHz) neuronal electric…</p><br/><p>[Phys. Rev. E 113, 044411] Published Mon Apr 13, 2026</p>]]></content:encoded>
    <dc:title>Dynamical diversity in conductance-based neuron response to kilohertz electrical stimulation</dc:title>
    <dc:creator>J. G. Polli, F. Kolbl, P. Lanusse, and M. G. E. da Luz</dc:creator>
    <dc:date>2026-04-13T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044411 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/qj5f-f4d5</dc:identifier>
    <prism:doi>10.1103/qj5f-f4d5</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-13T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/qj5f-f4d5</prism:url>
    <prism:startingPage>044411</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/hpqb-dc8h">
    <title>Ising models of cooperativity in muscle contraction</title>
    <link>http://link.aps.org/doi/10.1103/hpqb-dc8h</link>
    <description>Author(s): Elaheh Saadat, Matthieu Caruel, Stefano Gherardini, Ilaria Morotti, Matteo Marcello, Marco Caremani, Marco Linari, Ivan Latella, and Stefano Ruffo&lt;br/&gt;&lt;p&gt;Regulation of contraction in striated muscle is controlled by a dual mechanism involving both thin filaments containing actin and thick filaments containing myosin. The thin filament is activated by calcium ions binding to troponin, leading to tropomyosin azimuthal displacement, which allows the act…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044408] Published Fri Apr 10, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Elaheh Saadat, Matthieu Caruel, Stefano Gherardini, Ilaria Morotti, Matteo Marcello, Marco Caremani, Marco Linari, Ivan Latella, and Stefano Ruffo</p><p>Regulation of contraction in striated muscle is controlled by a dual mechanism involving both thin filaments containing actin and thick filaments containing myosin. The thin filament is activated by calcium ions binding to troponin, leading to tropomyosin azimuthal displacement, which allows the act…</p><br/><p>[Phys. Rev. E 113, 044408] Published Fri Apr 10, 2026</p>]]></content:encoded>
    <dc:title>Ising models of cooperativity in muscle contraction</dc:title>
    <dc:creator>Elaheh Saadat, Matthieu Caruel, Stefano Gherardini, Ilaria Morotti, Matteo Marcello, Marco Caremani, Marco Linari, Ivan Latella, and Stefano Ruffo</dc:creator>
    <dc:date>2026-04-10T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044408 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/hpqb-dc8h</dc:identifier>
    <prism:doi>10.1103/hpqb-dc8h</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-10T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/hpqb-dc8h</prism:url>
    <prism:startingPage>044408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/hzs5-2v75">
    <title>Density of states weighted decoherence probe formalism for charge transport in DNA</title>
    <link>http://link.aps.org/doi/10.1103/hzs5-2v75</link>
    <description>Author(s): Hashem Mohammad and M. P. Anantram&lt;br/&gt;&lt;p&gt;Nanoscale molecular systems such as DNA require an atomistic quantum treatment to accurately capture their electrical properties, owing to their small dimensions. A central challenge in modeling transport through these systems is the inclusion of phase-breaking scattering. Decoherence-probe methods …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044407] Published Wed Apr 08, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Hashem Mohammad and M. P. Anantram</p><p>Nanoscale molecular systems such as DNA require an atomistic quantum treatment to accurately capture their electrical properties, owing to their small dimensions. A central challenge in modeling transport through these systems is the inclusion of phase-breaking scattering. Decoherence-probe methods …</p><br/><p>[Phys. Rev. E 113, 044407] Published Wed Apr 08, 2026</p>]]></content:encoded>
    <dc:title>Density of states weighted decoherence probe formalism for charge transport in DNA</dc:title>
    <dc:creator>Hashem Mohammad and M. P. Anantram</dc:creator>
    <dc:date>2026-04-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044407 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/hzs5-2v75</dc:identifier>
    <prism:doi>10.1103/hzs5-2v75</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/hzs5-2v75</prism:url>
    <prism:startingPage>044407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/gxkk-ycbn">
    <title>Competitive binding of transcription factors as activator-repressor in stochastic gene expression</title>
    <link>http://link.aps.org/doi/10.1103/gxkk-ycbn</link>
    <description>Author(s): Amit Kumar Das and Debabrata Biswas&lt;br/&gt;&lt;p&gt;In this paper, we explore the features of a genetic network where the transcription factors, namely, activators and repressors bind to the promoter in a &lt;i&gt;competitive way&lt;/i&gt;. We have developed an analytical method to find the most probable set of parameter values that are unavailable in experiments. We s…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044406] Published Tue Apr 07, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Amit Kumar Das and Debabrata Biswas</p><p>In this paper, we explore the features of a genetic network where the transcription factors, namely, activators and repressors bind to the promoter in a <i>competitive way</i>. We have developed an analytical method to find the most probable set of parameter values that are unavailable in experiments. We s…</p><br/><p>[Phys. Rev. E 113, 044406] Published Tue Apr 07, 2026</p>]]></content:encoded>
    <dc:title>Competitive binding of transcription factors as activator-repressor in stochastic gene expression</dc:title>
    <dc:creator>Amit Kumar Das and Debabrata Biswas</dc:creator>
    <dc:date>2026-04-07T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044406 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/gxkk-ycbn</dc:identifier>
    <prism:doi>10.1103/gxkk-ycbn</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-07T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/gxkk-ycbn</prism:url>
    <prism:startingPage>044406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/9snq-xgqh">
    <title>Learning to crawl: Benefits and limits of centralized versus distributed control</title>
    <link>http://link.aps.org/doi/10.1103/9snq-xgqh</link>
    <description>Author(s): Luca Gagliardi and Agnese Seminara&lt;br/&gt;&lt;p&gt;We present a model of a crawler consisting of several suction units distributed along a straight line and connected by springs. The suction units are rudimentary proprioceptors-actuators, which sense binary states of compression versus elongation of the springs and can either adhere or remain idle. …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044404] Published Fri Apr 03, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Luca Gagliardi and Agnese Seminara</p><p>We present a model of a crawler consisting of several suction units distributed along a straight line and connected by springs. The suction units are rudimentary proprioceptors-actuators, which sense binary states of compression versus elongation of the springs and can either adhere or remain idle. …</p><br/><p>[Phys. Rev. E 113, 044404] Published Fri Apr 03, 2026</p>]]></content:encoded>
    <dc:title>Learning to crawl: Benefits and limits of centralized versus distributed control</dc:title>
    <dc:creator>Luca Gagliardi and Agnese Seminara</dc:creator>
    <dc:date>2026-04-03T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044404 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/9snq-xgqh</dc:identifier>
    <prism:doi>10.1103/9snq-xgqh</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-03T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/9snq-xgqh</prism:url>
    <prism:startingPage>044404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/qtcv-gk3y">
    <title>Elasticity and plasticity of epithelial gap closure</title>
    <link>http://link.aps.org/doi/10.1103/qtcv-gk3y</link>
    <description>Author(s): Maryam Setoudeh and Pierre A. Haas&lt;br/&gt;&lt;p&gt;Epiboly, during which a tissue closes around the surface of the egg, pervades animal development. This epithelial gap closure involves cell intercalations at the edge of the gap, but the interplay between these plastic cell rearrangements and the elasticity of the tissue is not understood. Here, ins…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044405] Published Fri Apr 03, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Maryam Setoudeh and Pierre A. Haas</p><p>Epiboly, during which a tissue closes around the surface of the egg, pervades animal development. This epithelial gap closure involves cell intercalations at the edge of the gap, but the interplay between these plastic cell rearrangements and the elasticity of the tissue is not understood. Here, ins…</p><br/><p>[Phys. Rev. E 113, 044405] Published Fri Apr 03, 2026</p>]]></content:encoded>
    <dc:title>Elasticity and plasticity of epithelial gap closure</dc:title>
    <dc:creator>Maryam Setoudeh and Pierre A. Haas</dc:creator>
    <dc:date>2026-04-03T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044405 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/qtcv-gk3y</dc:identifier>
    <prism:doi>10.1103/qtcv-gk3y</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-03T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/qtcv-gk3y</prism:url>
    <prism:startingPage>044405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/6zls-m67c">
    <title>Policy heterogeneity improves collective olfactory search in three-dimensional turbulence</title>
    <link>http://link.aps.org/doi/10.1103/6zls-m67c</link>
    <description>Author(s): Lorenzo Piro, Robin A. Heinonen, Maurizio Carbone, Luca Biferale, and Massimo Cencini&lt;br/&gt;&lt;p&gt;We examine how heterogeneous swarms, mixing exploratory and exploitative agents with distinct decision rules, consistently outperform homogeneous ones where each agent balances exploration and exploitation individually, performing experiments in two contrasting deployment scenarios. Using odor field…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044401] Published Thu Apr 02, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Lorenzo Piro, Robin A. Heinonen, Maurizio Carbone, Luca Biferale, and Massimo Cencini</p><p>We examine how heterogeneous swarms, mixing exploratory and exploitative agents with distinct decision rules, consistently outperform homogeneous ones where each agent balances exploration and exploitation individually, performing experiments in two contrasting deployment scenarios. Using odor field…</p><br/><p>[Phys. Rev. E 113, 044401] Published Thu Apr 02, 2026</p>]]></content:encoded>
    <dc:title>Policy heterogeneity improves collective olfactory search in three-dimensional turbulence</dc:title>
    <dc:creator>Lorenzo Piro, Robin A. Heinonen, Maurizio Carbone, Luca Biferale, and Massimo Cencini</dc:creator>
    <dc:date>2026-04-02T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/6zls-m67c</dc:identifier>
    <prism:doi>10.1103/6zls-m67c</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-02T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/6zls-m67c</prism:url>
    <prism:startingPage>044401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/fyjd-nps9">
    <title>Simplified analytical framework for fundamental vesicle shapes</title>
    <link>http://link.aps.org/doi/10.1103/fyjd-nps9</link>
    <description>Author(s): Amir H. Bahrami&lt;br/&gt;&lt;p&gt;Membrane structures play a central role in cellular processes, adopting morphologies such as sheetlike cisternae of the endoplasmic reticulum and mitochondrial cristae, tubular extensions of the ER and neurons, and cup-shaped double membranes of autophagosomes. Theoretical descriptions of these fund…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 044402] Published Thu Apr 02, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Amir H. Bahrami</p><p>Membrane structures play a central role in cellular processes, adopting morphologies such as sheetlike cisternae of the endoplasmic reticulum and mitochondrial cristae, tubular extensions of the ER and neurons, and cup-shaped double membranes of autophagosomes. Theoretical descriptions of these fund…</p><br/><p>[Phys. Rev. E 113, 044402] Published Thu Apr 02, 2026</p>]]></content:encoded>
    <dc:title>Simplified analytical framework for fundamental vesicle shapes</dc:title>
    <dc:creator>Amir H. Bahrami</dc:creator>
    <dc:date>2026-04-02T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/fyjd-nps9</dc:identifier>
    <prism:doi>10.1103/fyjd-nps9</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-02T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/fyjd-nps9</prism:url>
    <prism:startingPage>044402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/9mfj-2jh2">
    <title>From scattered to focused: Task-dependent connectivity in honey bees, with midge swarms and bird flocks</title>
    <link>http://link.aps.org/doi/10.1103/9mfj-2jh2</link>
    <description>Author(s): Ishriak Ahmed, Md. Saiful Islam, and Imraan A. Faruque&lt;br/&gt;&lt;p&gt;This is a study of swarming in three different biological systems, honey bees, midges, and jackdaws. The authors combine three complementary network identification approaches with anisotropy analysis to identify task-dependent interaction neighborhood size. The work provides a framework for uncovering emergence of collective motion in different biological systems.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #ClearMotivation #WellStructured&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/9mfj-2jh2.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 044403] Published Thu Apr 02, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Ishriak Ahmed, Md. Saiful Islam, and Imraan A. Faruque</p><p>This is a study of swarming in three different biological systems, honey bees, midges, and jackdaws. The authors combine three complementary network identification approaches with anisotropy analysis to identify task-dependent interaction neighborhood size. The work provides a framework for uncovering emergence of collective motion in different biological systems.</p>
<p>#BiophysicsSpotlight #ClearMotivation #WellStructured</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/9mfj-2jh2.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 044403] Published Thu Apr 02, 2026</p>]]></content:encoded>
    <dc:title>From scattered to focused: Task-dependent connectivity in honey bees, with midge swarms and bird flocks</dc:title>
    <dc:creator>Ishriak Ahmed, Md. Saiful Islam, and Imraan A. Faruque</dc:creator>
    <dc:date>2026-04-02T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 044403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/9mfj-2jh2</dc:identifier>
    <prism:doi>10.1103/9mfj-2jh2</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>4</prism:number>
    <prism:publicationDate>2026-04-02T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/9mfj-2jh2</prism:url>
    <prism:startingPage>044403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/8xmk-769k">
    <title>Genetic interfaces at the frontier of expanding microbial colonies</title>
    <link>http://link.aps.org/doi/10.1103/8xmk-769k</link>
    <description>Author(s): Jonathan Bauermann and David R. Nelson&lt;br/&gt;&lt;p&gt;We study the genetic interfaces between two species of an expanding colony that consists of individual microorganisms that reproduce and undergo diffusion, both at the frontier and in the interior. Within the bulk of the colony, the genetic interface is controlled in a simple way via interspecies in…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034408] Published Mon Mar 30, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Jonathan Bauermann and David R. Nelson</p><p>We study the genetic interfaces between two species of an expanding colony that consists of individual microorganisms that reproduce and undergo diffusion, both at the frontier and in the interior. Within the bulk of the colony, the genetic interface is controlled in a simple way via interspecies in…</p><br/><p>[Phys. Rev. E 113, 034408] Published Mon Mar 30, 2026</p>]]></content:encoded>
    <dc:title>Genetic interfaces at the frontier of expanding microbial colonies</dc:title>
    <dc:creator>Jonathan Bauermann and David R. Nelson</dc:creator>
    <dc:date>2026-03-30T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034408 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/8xmk-769k</dc:identifier>
    <prism:doi>10.1103/8xmk-769k</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-30T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/8xmk-769k</prism:url>
    <prism:startingPage>034408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/9yk5-b4q2">
    <title>Phyllotaxis in a Keller-Segel model</title>
    <link>http://link.aps.org/doi/10.1103/9yk5-b4q2</link>
    <description>Author(s): Michael F. Staddon&lt;br/&gt;&lt;p&gt;Plants often exhibit regular arrangements of seeds or leaves, known as phyllotaxis, and can famously exhibit Fibonacci spirals, as in sunflower heads or on pine cones. While there are many models which can reproduce a spiral formation, the actual mechanism of arrangement remains unclear. Here, we te…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034407] Published Fri Mar 27, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Michael F. Staddon</p><p>Plants often exhibit regular arrangements of seeds or leaves, known as phyllotaxis, and can famously exhibit Fibonacci spirals, as in sunflower heads or on pine cones. While there are many models which can reproduce a spiral formation, the actual mechanism of arrangement remains unclear. Here, we te…</p><br/><p>[Phys. Rev. E 113, 034407] Published Fri Mar 27, 2026</p>]]></content:encoded>
    <dc:title>Phyllotaxis in a Keller-Segel model</dc:title>
    <dc:creator>Michael F. Staddon</dc:creator>
    <dc:date>2026-03-27T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034407 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/9yk5-b4q2</dc:identifier>
    <prism:doi>10.1103/9yk5-b4q2</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-27T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/9yk5-b4q2</prism:url>
    <prism:startingPage>034407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/z3zg-xrxx">
    <title>Competing chemical gradients change chemotactic dynamics and cell distribution</title>
    <link>http://link.aps.org/doi/10.1103/z3zg-xrxx</link>
    <description>Author(s): Emiliano Perez Ipiña and Brian A. Camley&lt;br/&gt;&lt;p&gt;Cells navigating multiple chemoattractant gradients prioritize signals according to how accurately each can be sensed, leading to diverse migration behaviors and spatial patterns in complex environments.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #ClearMotivation&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/z3zg-xrxx.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 034406] Published Mon Mar 23, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Emiliano Perez Ipiña and Brian A. Camley</p><p>Cells navigating multiple chemoattractant gradients prioritize signals according to how accurately each can be sensed, leading to diverse migration behaviors and spatial patterns in complex environments.</p>
<p>#BiophysicsSpotlight #ClearMotivation</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/z3zg-xrxx.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 034406] Published Mon Mar 23, 2026</p>]]></content:encoded>
    <dc:title>Competing chemical gradients change chemotactic dynamics and cell distribution</dc:title>
    <dc:creator>Emiliano Perez Ipiña and Brian A. Camley</dc:creator>
    <dc:date>2026-03-23T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034406 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/z3zg-xrxx</dc:identifier>
    <prism:doi>10.1103/z3zg-xrxx</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-23T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/z3zg-xrxx</prism:url>
    <prism:startingPage>034406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/dk15-hwzg">
    <title>Controlling tissue size by active fracture</title>
    <link>http://link.aps.org/doi/10.1103/dk15-hwzg</link>
    <description>Author(s): Wei Wang (汪巍) and Brian A. Camley&lt;br/&gt;&lt;p&gt;Groups of cells, including clusters of cancerous cells, multicellular organisms, and developing organs, may both grow and break apart. What physical factors control these fractures? In these processes, what sets the eventual size of clusters? We first develop a one-dimensional framework for understa…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034405] Published Wed Mar 18, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Wei Wang (汪巍) and Brian A. Camley</p><p>Groups of cells, including clusters of cancerous cells, multicellular organisms, and developing organs, may both grow and break apart. What physical factors control these fractures? In these processes, what sets the eventual size of clusters? We first develop a one-dimensional framework for understa…</p><br/><p>[Phys. Rev. E 113, 034405] Published Wed Mar 18, 2026</p>]]></content:encoded>
    <dc:title>Controlling tissue size by active fracture</dc:title>
    <dc:creator>Wei Wang (汪巍) and Brian A. Camley</dc:creator>
    <dc:date>2026-03-18T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034405 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/dk15-hwzg</dc:identifier>
    <prism:doi>10.1103/dk15-hwzg</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-18T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/dk15-hwzg</prism:url>
    <prism:startingPage>034405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/g6fm-frk4">
    <title>pH gradient-driven deformation of a crista-like vesicle</title>
    <link>http://link.aps.org/doi/10.1103/g6fm-frk4</link>
    <description>Author(s): Yorgos Chatziantoniou and Hélène Berthoumieux&lt;br/&gt;&lt;p&gt;The inner membrane of mitochondria presents folds, the cristae, which are the production place of ATP. This synthesis is catalized by transmembrane proteins and relies on a flow of protons confined to the surface of the membrane. We posit that, in turn, the proton flux shapes the crista membrane in …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034404] Published Tue Mar 10, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Yorgos Chatziantoniou and Hélène Berthoumieux</p><p>The inner membrane of mitochondria presents folds, the cristae, which are the production place of ATP. This synthesis is catalized by transmembrane proteins and relies on a flow of protons confined to the surface of the membrane. We posit that, in turn, the proton flux shapes the crista membrane in …</p><br/><p>[Phys. Rev. E 113, 034404] Published Tue Mar 10, 2026</p>]]></content:encoded>
    <dc:title>pH gradient-driven deformation of a crista-like vesicle</dc:title>
    <dc:creator>Yorgos Chatziantoniou and Hélène Berthoumieux</dc:creator>
    <dc:date>2026-03-10T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034404 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/g6fm-frk4</dc:identifier>
    <prism:doi>10.1103/g6fm-frk4</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-10T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/g6fm-frk4</prism:url>
    <prism:startingPage>034404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/gy7s-m4p9">
    <title>Phase-field approach to cellular blebbing</title>
    <link>http://link.aps.org/doi/10.1103/gy7s-m4p9</link>
    <description>Author(s): Kaihua Ji, Herbert Levine, and Alain Karma&lt;br/&gt;&lt;p&gt;Bulges in the plasma membrane of cells known as blebs can form spontaneously in a wide range of biological processes, but what controls their shape and stability remains incompletely understood. To address this we introduce a dual phase-field model with coupled order parameters representing the cell…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034403] Published Mon Mar 09, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Kaihua Ji, Herbert Levine, and Alain Karma</p><p>Bulges in the plasma membrane of cells known as blebs can form spontaneously in a wide range of biological processes, but what controls their shape and stability remains incompletely understood. To address this we introduce a dual phase-field model with coupled order parameters representing the cell…</p><br/><p>[Phys. Rev. E 113, 034403] Published Mon Mar 09, 2026</p>]]></content:encoded>
    <dc:title>Phase-field approach to cellular blebbing</dc:title>
    <dc:creator>Kaihua Ji, Herbert Levine, and Alain Karma</dc:creator>
    <dc:date>2026-03-09T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/gy7s-m4p9</dc:identifier>
    <prism:doi>10.1103/gy7s-m4p9</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-09T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/gy7s-m4p9</prism:url>
    <prism:startingPage>034403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/p3tt-gq73">
    <title>Transition from traveling fronts to diffusion-limited growth in expanding populations</title>
    <link>http://link.aps.org/doi/10.1103/p3tt-gq73</link>
    <description>Author(s): Louis Brezin, Kyle J. Shaffer, and Kirill S. Korolev&lt;br/&gt;&lt;p&gt;Reaction-diffusion equations describe various spatially extended processes that unfold as traveling fronts moving at constant velocity. We introduce and solve analytically a model that, besides such fronts, supports solutions advancing as the square root of time. These sublinear fronts preserve an i…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, L032401] Published Thu Mar 05, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Louis Brezin, Kyle J. Shaffer, and Kirill S. Korolev</p><p>Reaction-diffusion equations describe various spatially extended processes that unfold as traveling fronts moving at constant velocity. We introduce and solve analytically a model that, besides such fronts, supports solutions advancing as the square root of time. These sublinear fronts preserve an i…</p><br/><p>[Phys. Rev. E 113, L032401] Published Thu Mar 05, 2026</p>]]></content:encoded>
    <dc:title>Transition from traveling fronts to diffusion-limited growth in expanding populations</dc:title>
    <dc:creator>Louis Brezin, Kyle J. Shaffer, and Kirill S. Korolev</dc:creator>
    <dc:date>2026-03-05T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, L032401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/p3tt-gq73</dc:identifier>
    <prism:doi>10.1103/p3tt-gq73</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-05T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/p3tt-gq73</prism:url>
    <prism:startingPage>L032401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/lnrz-wrf4">
    <title>Flocking by stopping: A mechanism of emergent order in collective movement</title>
    <link>http://link.aps.org/doi/10.1103/lnrz-wrf4</link>
    <description>Author(s): Yogesh Kumar KC, Arshed Nabeel, Srikanth Iyer, and Vishwesha Guttal&lt;br/&gt;&lt;p&gt;In typical models of collective motion, each individual takes the average direction of multiple neighbors, resulting in the ordered movement of large flocks. Alternatively, interactions with only one random neighbor at a time can also lead to order, referred to as noise-induced order, but only in sm…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034402] Published Tue Mar 03, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Yogesh Kumar KC, Arshed Nabeel, Srikanth Iyer, and Vishwesha Guttal</p><p>In typical models of collective motion, each individual takes the average direction of multiple neighbors, resulting in the ordered movement of large flocks. Alternatively, interactions with only one random neighbor at a time can also lead to order, referred to as noise-induced order, but only in sm…</p><br/><p>[Phys. Rev. E 113, 034402] Published Tue Mar 03, 2026</p>]]></content:encoded>
    <dc:title>Flocking by stopping: A mechanism of emergent order in collective movement</dc:title>
    <dc:creator>Yogesh Kumar KC, Arshed Nabeel, Srikanth Iyer, and Vishwesha Guttal</dc:creator>
    <dc:date>2026-03-03T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/lnrz-wrf4</dc:identifier>
    <prism:doi>10.1103/lnrz-wrf4</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-03T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/lnrz-wrf4</prism:url>
    <prism:startingPage>034402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/x6qv-lzdg">
    <title>Role of chloride concentration in modulating seizure transitions in excitatory and inhibitory networks</title>
    <link>http://link.aps.org/doi/10.1103/x6qv-lzdg</link>
    <description>Author(s): Qianchen Gong, Yingpeng Liu, Yan Zhang, Muhua Zheng, and Kesheng Xu&lt;br/&gt;&lt;p&gt;Experimental evidence indicates that intracellular chloride concentration regulates the excitation–inhibition (EI) balance, yet the mechanisms by which activity-dependent chloride dynamics drive seizure evolution and stage transitions remain unclear. We present a conductance-based neuronal network i…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 034401] Published Mon Mar 02, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Qianchen Gong, Yingpeng Liu, Yan Zhang, Muhua Zheng, and Kesheng Xu</p><p>Experimental evidence indicates that intracellular chloride concentration regulates the excitation–inhibition (EI) balance, yet the mechanisms by which activity-dependent chloride dynamics drive seizure evolution and stage transitions remain unclear. We present a conductance-based neuronal network i…</p><br/><p>[Phys. Rev. E 113, 034401] Published Mon Mar 02, 2026</p>]]></content:encoded>
    <dc:title>Role of chloride concentration in modulating seizure transitions in excitatory and inhibitory networks</dc:title>
    <dc:creator>Qianchen Gong, Yingpeng Liu, Yan Zhang, Muhua Zheng, and Kesheng Xu</dc:creator>
    <dc:date>2026-03-02T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 034401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/x6qv-lzdg</dc:identifier>
    <prism:doi>10.1103/x6qv-lzdg</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>3</prism:number>
    <prism:publicationDate>2026-03-02T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/x6qv-lzdg</prism:url>
    <prism:startingPage>034401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/y5qv-qm7n">
    <title>Sequence motif dynamics in RNA pools</title>
    <link>http://link.aps.org/doi/10.1103/y5qv-qm7n</link>
    <description>Author(s): Johannes Harth-Kitzerow, Tobias Göppel, Ludwig Burger, Torsten A. Enßlin, and Ulrich Gerland&lt;br/&gt;&lt;p&gt;In RNA world scenarios, pools of RNA oligomers form strongly interacting, dynamic systems, which enable molecular evolution. In such pools, RNA oligomers hybridize and dehybridize, ligate, and break, ultimately generating longer RNA molecules, which may fold into catalytically active ribozymes. A ke…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024407] Published Fri Feb 27, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Johannes Harth-Kitzerow, Tobias Göppel, Ludwig Burger, Torsten A. Enßlin, and Ulrich Gerland</p><p>In RNA world scenarios, pools of RNA oligomers form strongly interacting, dynamic systems, which enable molecular evolution. In such pools, RNA oligomers hybridize and dehybridize, ligate, and break, ultimately generating longer RNA molecules, which may fold into catalytically active ribozymes. A ke…</p><br/><p>[Phys. Rev. E 113, 024407] Published Fri Feb 27, 2026</p>]]></content:encoded>
    <dc:title>Sequence motif dynamics in RNA pools</dc:title>
    <dc:creator>Johannes Harth-Kitzerow, Tobias Göppel, Ludwig Burger, Torsten A. Enßlin, and Ulrich Gerland</dc:creator>
    <dc:date>2026-02-27T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024407 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/y5qv-qm7n</dc:identifier>
    <prism:doi>10.1103/y5qv-qm7n</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-27T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/y5qv-qm7n</prism:url>
    <prism:startingPage>024407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/4mwt-2yb2">
    <title>Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons</title>
    <link>http://link.aps.org/doi/10.1103/4mwt-2yb2</link>
    <description>Author(s): Luisa Le Donne, Lik Chun Chan, Robert Urbanczik, Walter Senn, and Giancarlo La Camera&lt;br/&gt;&lt;p&gt;Learning to detect, identify, or select stimuli is an essential requirement of many behavioral tasks. In real-life situations, relevant and nonrelevant stimuli are often embedded in a continuous sensory stream, presumably represented by different segments of neural activity. Here we introduce a spik…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024406] Published Wed Feb 25, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Luisa Le Donne, Lik Chun Chan, Robert Urbanczik, Walter Senn, and Giancarlo La Camera</p><p>Learning to detect, identify, or select stimuli is an essential requirement of many behavioral tasks. In real-life situations, relevant and nonrelevant stimuli are often embedded in a continuous sensory stream, presumably represented by different segments of neural activity. Here we introduce a spik…</p><br/><p>[Phys. Rev. E 113, 024406] Published Wed Feb 25, 2026</p>]]></content:encoded>
    <dc:title>Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons</dc:title>
    <dc:creator>Luisa Le Donne, Lik Chun Chan, Robert Urbanczik, Walter Senn, and Giancarlo La Camera</dc:creator>
    <dc:date>2026-02-25T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024406 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/4mwt-2yb2</dc:identifier>
    <prism:doi>10.1103/4mwt-2yb2</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-25T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/4mwt-2yb2</prism:url>
    <prism:startingPage>024406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/dc35-lmgd">
    <title>Critical phase transition in bee movement dynamics can be modeled using a two-dimensional cellular automaton</title>
    <link>http://link.aps.org/doi/10.1103/dc35-lmgd</link>
    <description>Author(s): Ivan Shpurov and Tom Froese&lt;br/&gt;&lt;p&gt;The collective behavior of numerous animal species, including insects, exhibits scale-free behavior indicative of the critical (second-order) phase transition. Previous research uncovered such phenomena in the behavior of honeybees, most notably the long-range correlations in space and time. Further…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024405] Published Fri Feb 20, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Ivan Shpurov and Tom Froese</p><p>The collective behavior of numerous animal species, including insects, exhibits scale-free behavior indicative of the critical (second-order) phase transition. Previous research uncovered such phenomena in the behavior of honeybees, most notably the long-range correlations in space and time. Further…</p><br/><p>[Phys. Rev. E 113, 024405] Published Fri Feb 20, 2026</p>]]></content:encoded>
    <dc:title>Critical phase transition in bee movement dynamics can be modeled using a two-dimensional cellular automaton</dc:title>
    <dc:creator>Ivan Shpurov and Tom Froese</dc:creator>
    <dc:date>2026-02-20T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024405 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/dc35-lmgd</dc:identifier>
    <prism:doi>10.1103/dc35-lmgd</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-20T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/dc35-lmgd</prism:url>
    <prism:startingPage>024405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/yw3t-dwnb">
    <title>Master equation approach to the $n$-coalescent problem</title>
    <link>http://link.aps.org/doi/10.1103/yw3t-dwnb</link>
    <description>Author(s): Bahram Houchmandzadeh&lt;br/&gt;&lt;p&gt;Given an evolutionary model, such as Wright-Fisher or Moran, the $n\text{−}\mathrm{coalescent}$ problem consists of going backward in time to find, for example, the time to the most recent common ancestor (MRCA) and the topology of the tree. In the literature, this problem is mainly addressed by dir…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024404] Published Thu Feb 19, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Bahram Houchmandzadeh</p><p>Given an evolutionary model, such as Wright-Fisher or Moran, the <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>n</mi><mtext>−</mtext><mi>coalescent</mi></mrow></math> problem consists of going backward in time to find, for example, the time to the most recent common ancestor (MRCA) and the topology of the tree. In the literature, this problem is mainly addressed by directly computing th…</p><br/><p>[Phys. Rev. E 113, 024404] Published Thu Feb 19, 2026</p>]]></content:encoded>
    <dc:title>Master equation approach to the $n$-coalescent problem</dc:title>
    <dc:creator>Bahram Houchmandzadeh</dc:creator>
    <dc:date>2026-02-19T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024404 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/yw3t-dwnb</dc:identifier>
    <prism:doi>10.1103/yw3t-dwnb</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-19T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/yw3t-dwnb</prism:url>
    <prism:startingPage>024404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/z152-x4l1">
    <title>Cortical tension links curvature to tissue growth in the cellular Potts model</title>
    <link>http://link.aps.org/doi/10.1103/z152-x4l1</link>
    <description>Author(s): Kai Lennard Fastabend, Cécile M. Bidan, John W. C. Dunlop, and Philip Kollmannsberger&lt;br/&gt;&lt;p&gt;The growth of biological tissue is sensitive to the physical properties of the environment. For example, the growth rate of contractile tissue under geometric confinement is proportional to local curvature as a result of tissue surface tension. It is not known how local cell behavior is coordinated …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024403] Published Thu Feb 12, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Kai Lennard Fastabend, Cécile M. Bidan, John W. C. Dunlop, and Philip Kollmannsberger</p><p>The growth of biological tissue is sensitive to the physical properties of the environment. For example, the growth rate of contractile tissue under geometric confinement is proportional to local curvature as a result of tissue surface tension. It is not known how local cell behavior is coordinated …</p><br/><p>[Phys. Rev. E 113, 024403] Published Thu Feb 12, 2026</p>]]></content:encoded>
    <dc:title>Cortical tension links curvature to tissue growth in the cellular Potts model</dc:title>
    <dc:creator>Kai Lennard Fastabend, Cécile M. Bidan, John W. C. Dunlop, and Philip Kollmannsberger</dc:creator>
    <dc:date>2026-02-12T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/z152-x4l1</dc:identifier>
    <prism:doi>10.1103/z152-x4l1</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-12T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/z152-x4l1</prism:url>
    <prism:startingPage>024403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/kyds-xmlh">
    <title>Predicting statistics of gene translocation events: Role of chromatin compaction and double-strand DNA break</title>
    <link>http://link.aps.org/doi/10.1103/kyds-xmlh</link>
    <description>Author(s): Anirudh Jairam, Shuvadip Dutta, Sangram Kadam, Kiran Kumari, and Ranjith Padinhateeri&lt;br/&gt;&lt;p&gt;Chromosomal translocations, arising from unresolved double-stranded DNA breaks (DSBs), play a central role in genome instability and evolution. A prevailing hypothesis suggests that the probability of translocation between two chromatin segments depends on both their spatial proximity and the likeli…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024402] Published Mon Feb 09, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Anirudh Jairam, Shuvadip Dutta, Sangram Kadam, Kiran Kumari, and Ranjith Padinhateeri</p><p>Chromosomal translocations, arising from unresolved double-stranded DNA breaks (DSBs), play a central role in genome instability and evolution. A prevailing hypothesis suggests that the probability of translocation between two chromatin segments depends on both their spatial proximity and the likeli…</p><br/><p>[Phys. Rev. E 113, 024402] Published Mon Feb 09, 2026</p>]]></content:encoded>
    <dc:title>Predicting statistics of gene translocation events: Role of chromatin compaction and double-strand DNA break</dc:title>
    <dc:creator>Anirudh Jairam, Shuvadip Dutta, Sangram Kadam, Kiran Kumari, and Ranjith Padinhateeri</dc:creator>
    <dc:date>2026-02-09T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/kyds-xmlh</dc:identifier>
    <prism:doi>10.1103/kyds-xmlh</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-09T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/kyds-xmlh</prism:url>
    <prism:startingPage>024402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/fp9l-zykg">
    <title>Algal optics</title>
    <link>http://link.aps.org/doi/10.1103/fp9l-zykg</link>
    <description>Author(s): Ming Yang, Sumit Kumar Birwa, and Raymond E. Goldstein&lt;br/&gt;&lt;p&gt;Nearly a decade ago, it was discovered that the spherical cell body of the alga &lt;i&gt;Chlamydomonas reinhardtii&lt;/i&gt; can act as a lens to concentrate incoming light onto the cell's membrane-bound photoreceptor and thereby affect phototaxis. Since many nearly transparent cells in marine environments have comple…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 024401] Published Wed Feb 04, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Ming Yang, Sumit Kumar Birwa, and Raymond E. Goldstein</p><p>Nearly a decade ago, it was discovered that the spherical cell body of the alga <i>Chlamydomonas reinhardtii</i> can act as a lens to concentrate incoming light onto the cell's membrane-bound photoreceptor and thereby affect phototaxis. Since many nearly transparent cells in marine environments have comple…</p><br/><p>[Phys. Rev. E 113, 024401] Published Wed Feb 04, 2026</p>]]></content:encoded>
    <dc:title>Algal optics</dc:title>
    <dc:creator>Ming Yang, Sumit Kumar Birwa, and Raymond E. Goldstein</dc:creator>
    <dc:date>2026-02-04T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 024401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/fp9l-zykg</dc:identifier>
    <prism:doi>10.1103/fp9l-zykg</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>2</prism:number>
    <prism:publicationDate>2026-02-04T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/fp9l-zykg</prism:url>
    <prism:startingPage>024401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/lffn-l7m6">
    <title>Magnetic properties of an individual &lt;i&gt;Magnetospirillum gryphiswaldense&lt;/i&gt; cell</title>
    <link>http://link.aps.org/doi/10.1103/lffn-l7m6</link>
    <description>Author(s): Mathias M. Claus, Marcus Wyss, Dirk Schüler, Martino Poggio, and Boris Gross&lt;br/&gt;&lt;p&gt;Many bacteria share the fascinating ability to sense Earth's magnetic field—a process known as magnetotaxis. These bacteria synthesize magnetic nanoparticles, called magnetosomes, within their own cell body and arrange them to form a linear magnetic chain. The chain, which behaves like a compass nee…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 014408] Published Fri Jan 30, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Mathias M. Claus, Marcus Wyss, Dirk Schüler, Martino Poggio, and Boris Gross</p><p>Many bacteria share the fascinating ability to sense Earth's magnetic field—a process known as magnetotaxis. These bacteria synthesize magnetic nanoparticles, called magnetosomes, within their own cell body and arrange them to form a linear magnetic chain. The chain, which behaves like a compass nee…</p><br/><p>[Phys. Rev. E 113, 014408] Published Fri Jan 30, 2026</p>]]></content:encoded>
    <dc:title>Magnetic properties of an individual &lt;i&gt;Magnetospirillum gryphiswaldense&lt;/i&gt; cell</dc:title>
    <dc:creator>Mathias M. Claus, Marcus Wyss, Dirk Schüler, Martino Poggio, and Boris Gross</dc:creator>
    <dc:date>2026-01-30T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014408 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/lffn-l7m6</dc:identifier>
    <prism:doi>10.1103/lffn-l7m6</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-30T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/lffn-l7m6</prism:url>
    <prism:startingPage>014408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/7ph2-kj8g">
    <title>Foci, waves, excitability: Self-organization of phase waves in a model of asymmetrically coupled embryonic oscillators</title>
    <link>http://link.aps.org/doi/10.1103/7ph2-kj8g</link>
    <description>Author(s): Kaushik Roy and Paul François&lt;br/&gt;&lt;p&gt;The segmentation clock is an emergent embryonic oscillator that controls the periodic formation of vertebrae precursors (or somites). It relies on the self-organization at the presomitic mesoderm (PSM) level of multiple coupled cellular oscillators. Dissociation-reaggregation experiments have furthe…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 014405] Published Tue Jan 27, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Kaushik Roy and Paul François</p><p>The segmentation clock is an emergent embryonic oscillator that controls the periodic formation of vertebrae precursors (or somites). It relies on the self-organization at the presomitic mesoderm (PSM) level of multiple coupled cellular oscillators. Dissociation-reaggregation experiments have furthe…</p><br/><p>[Phys. Rev. E 113, 014405] Published Tue Jan 27, 2026</p>]]></content:encoded>
    <dc:title>Foci, waves, excitability: Self-organization of phase waves in a model of asymmetrically coupled embryonic oscillators</dc:title>
    <dc:creator>Kaushik Roy and Paul François</dc:creator>
    <dc:date>2026-01-27T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014405 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/7ph2-kj8g</dc:identifier>
    <prism:doi>10.1103/7ph2-kj8g</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-27T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/7ph2-kj8g</prism:url>
    <prism:startingPage>014405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/6qyt-79kr">
    <title>Neuronal decoding of temperature signals in &lt;i&gt;Caenorhabditis elegans&lt;/i&gt;</title>
    <link>http://link.aps.org/doi/10.1103/6qyt-79kr</link>
    <description>Author(s): Abhilasha Batra and Rati Sharma&lt;br/&gt;&lt;p&gt;Neural processing in animals facilitates sensory adaptation by eliciting appropriate responses to changing environmental stimuli. Although sensory adaptation is well recognized, the specific role of individual neurons in these adaptive mechanisms remains poorly understood from a theoretical standpoi…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 014406] Published Tue Jan 27, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Abhilasha Batra and Rati Sharma</p><p>Neural processing in animals facilitates sensory adaptation by eliciting appropriate responses to changing environmental stimuli. Although sensory adaptation is well recognized, the specific role of individual neurons in these adaptive mechanisms remains poorly understood from a theoretical standpoi…</p><br/><p>[Phys. Rev. E 113, 014406] Published Tue Jan 27, 2026</p>]]></content:encoded>
    <dc:title>Neuronal decoding of temperature signals in &lt;i&gt;Caenorhabditis elegans&lt;/i&gt;</dc:title>
    <dc:creator>Abhilasha Batra and Rati Sharma</dc:creator>
    <dc:date>2026-01-27T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014406 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/6qyt-79kr</dc:identifier>
    <prism:doi>10.1103/6qyt-79kr</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-27T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/6qyt-79kr</prism:url>
    <prism:startingPage>014406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/hvtd-qwp1">
    <title>Geometry of disordered porous environments regulates cell migration</title>
    <link>http://link.aps.org/doi/10.1103/hvtd-qwp1</link>
    <description>Author(s): Laeschkir Würthner and Frederik Graw&lt;br/&gt;&lt;p&gt;Several external factors are known to influence active cell movement, but little is known about the impact of the porous structure of the extracellular matrix. This work combines computational modeling and theory to show how such porous environments determine cell migration dynamics, and how spatial heterogeneities effectively guide cell movement towards regions of low porosity.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #AdvancingField #Interdisciplinary&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/hvtd-qwp1.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 014407] Published Tue Jan 27, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Laeschkir Würthner and Frederik Graw</p><p>Several external factors are known to influence active cell movement, but little is known about the impact of the porous structure of the extracellular matrix. This work combines computational modeling and theory to show how such porous environments determine cell migration dynamics, and how spatial heterogeneities effectively guide cell movement towards regions of low porosity.</p>
<p>#BiophysicsSpotlight #AdvancingField #Interdisciplinary</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/hvtd-qwp1.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 014407] Published Tue Jan 27, 2026</p>]]></content:encoded>
    <dc:title>Geometry of disordered porous environments regulates cell migration</dc:title>
    <dc:creator>Laeschkir Würthner and Frederik Graw</dc:creator>
    <dc:date>2026-01-27T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014407 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/hvtd-qwp1</dc:identifier>
    <prism:doi>10.1103/hvtd-qwp1</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-27T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/hvtd-qwp1</prism:url>
    <prism:startingPage>014407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/yj4g-wnng">
    <title>Kinetic effect of clustering: Application to systems with switching between states and influence of a drift</title>
    <link>http://link.aps.org/doi/10.1103/yj4g-wnng</link>
    <description>Author(s): Boris P. Belotserkovskii&lt;br/&gt;&lt;p&gt;Assembling reacting molecules (“targets”) into clusters slows down the kinetics of their reactions with mobile particles from a solution due to competition between the targets. Recently, we used a simple probabilistic approach to predict the dependence of this slowing down on the structures of clust…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 014404] Published Mon Jan 26, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Boris P. Belotserkovskii</p><p>Assembling reacting molecules (“targets”) into clusters slows down the kinetics of their reactions with mobile particles from a solution due to competition between the targets. Recently, we used a simple probabilistic approach to predict the dependence of this slowing down on the structures of clust…</p><br/><p>[Phys. Rev. E 113, 014404] Published Mon Jan 26, 2026</p>]]></content:encoded>
    <dc:title>Kinetic effect of clustering: Application to systems with switching between states and influence of a drift</dc:title>
    <dc:creator>Boris P. Belotserkovskii</dc:creator>
    <dc:date>2026-01-26T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014404 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/yj4g-wnng</dc:identifier>
    <prism:doi>10.1103/yj4g-wnng</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-26T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/yj4g-wnng</prism:url>
    <prism:startingPage>014404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/6fqz-fhjr">
    <title>Phase separation and coexistence in spatial coordination games between microbes</title>
    <link>http://link.aps.org/doi/10.1103/6fqz-fhjr</link>
    <description>Author(s): Guanlin Li, Gabi Steinbach, Peter Yunker, Yao Yao, and Joshua S. Weitz&lt;br/&gt;&lt;p&gt;Dense, microbial communities are shaped by local interactions between cells. Both the nature of interactions, spanning antagonistic to cooperative, and the strength of interactions vary between and across microbial species and strains. These local interactions can influence the emergence and mainten…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 014402] Published Thu Jan 22, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Guanlin Li, Gabi Steinbach, Peter Yunker, Yao Yao, and Joshua S. Weitz</p><p>Dense, microbial communities are shaped by local interactions between cells. Both the nature of interactions, spanning antagonistic to cooperative, and the strength of interactions vary between and across microbial species and strains. These local interactions can influence the emergence and mainten…</p><br/><p>[Phys. Rev. E 113, 014402] Published Thu Jan 22, 2026</p>]]></content:encoded>
    <dc:title>Phase separation and coexistence in spatial coordination games between microbes</dc:title>
    <dc:creator>Guanlin Li, Gabi Steinbach, Peter Yunker, Yao Yao, and Joshua S. Weitz</dc:creator>
    <dc:date>2026-01-22T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014402 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/6fqz-fhjr</dc:identifier>
    <prism:doi>10.1103/6fqz-fhjr</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-22T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/6fqz-fhjr</prism:url>
    <prism:startingPage>014402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/ql7f-wzpr">
    <title>Electric response of multiarm protein crystals</title>
    <link>http://link.aps.org/doi/10.1103/ql7f-wzpr</link>
    <description>Author(s): D. Ray, F. Platten, and K. Kang&lt;br/&gt;&lt;p&gt;Applied electric fields precisely steer protein crystallization pathways, inducing distinct multiarm morphologies such as flowerlike and triconic structures. This field-driven control over angular ordering and phase behavior offers new insights into engineering complex protein architectures.&lt;/p&gt;
&lt;p&gt;#BiophysicsSpotlight #TheoryExperiment&lt;/p&gt;&lt;img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/ql7f-wzpr.png" width="200" height=\"100\"&gt;&lt;br/&gt;[Phys. Rev. E 113, 014403] Published Thu Jan 22, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): D. Ray, F. Platten, and K. Kang</p><p>Applied electric fields precisely steer protein crystallization pathways, inducing distinct multiarm morphologies such as flowerlike and triconic structures. This field-driven control over angular ordering and phase behavior offers new insights into engineering complex protein architectures.</p>
<p>#BiophysicsSpotlight #TheoryExperiment</p><img src="//cdn.journals.aps.org/journals/PRE/key_images/10.1103/ql7f-wzpr.png" width="200" height=\"100\"><br/><p>[Phys. Rev. E 113, 014403] Published Thu Jan 22, 2026</p>]]></content:encoded>
    <dc:title>Electric response of multiarm protein crystals</dc:title>
    <dc:creator>D. Ray, F. Platten, and K. Kang</dc:creator>
    <dc:date>2026-01-22T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014403 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/ql7f-wzpr</dc:identifier>
    <prism:doi>10.1103/ql7f-wzpr</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-22T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/ql7f-wzpr</prism:url>
    <prism:startingPage>014403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/dkn2-9b2t">
    <title>Exponential random graph-based eXplainable Artificial Intelligence for Alzheimer disease</title>
    <link>http://link.aps.org/doi/10.1103/dkn2-9b2t</link>
    <description>Author(s): Nicola Amoroso, Ester Pantaleo, Marianna La Rocca, Loredana Bellantuono, Saverio Pascazio, Sabina Tangaro, Alfonso Monaco, and Roberto Bellotti&lt;br/&gt;&lt;p&gt;The use of statistical physics models to investigate real-world networks and reveal their underlying dynamics has shown promising results and acquired increasing attention. Here, we show how exponential random-graph (ERG) models can be suitably adopted to characterize how Alzheimer's disease (AD) af…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 113, 014401] Published Tue Jan 20, 2026</description>
    <content:encoded><![CDATA[<p>Author(s): Nicola Amoroso, Ester Pantaleo, Marianna La Rocca, Loredana Bellantuono, Saverio Pascazio, Sabina Tangaro, Alfonso Monaco, and Roberto Bellotti</p><p>The use of statistical physics models to investigate real-world networks and reveal their underlying dynamics has shown promising results and acquired increasing attention. Here, we show how exponential random-graph (ERG) models can be suitably adopted to characterize how Alzheimer's disease (AD) af…</p><br/><p>[Phys. Rev. E 113, 014401] Published Tue Jan 20, 2026</p>]]></content:encoded>
    <dc:title>Exponential random graph-based eXplainable Artificial Intelligence for Alzheimer disease</dc:title>
    <dc:creator>Nicola Amoroso, Ester Pantaleo, Marianna La Rocca, Loredana Bellantuono, Saverio Pascazio, Sabina Tangaro, Alfonso Monaco, and Roberto Bellotti</dc:creator>
    <dc:date>2026-01-20T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 113, 014401 (2026)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/dkn2-9b2t</dc:identifier>
    <prism:doi>10.1103/dkn2-9b2t</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>113</prism:volume>
    <prism:number>1</prism:number>
    <prism:publicationDate>2026-01-20T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/dkn2-9b2t</prism:url>
    <prism:startingPage>014401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/fn8b-s7x3">
    <title>From radiation dose to cellular dynamics: A discrete model for simulating cancer therapy</title>
    <link>http://link.aps.org/doi/10.1103/fn8b-s7x3</link>
    <description>Author(s): Mirko Bagnarol, Gianluca Lattanzi, Jan Åström, and Mikko Karttunen&lt;br/&gt;&lt;p&gt;Radiation therapy is one of the most common cancer treatments, and dose optimization and targeting of radiation are crucial since both cancerous and healthy cells are affected. Different mathematical and computational approaches have been developed for this task. The most common mathematical approac…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064413] Published Tue Dec 23, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Mirko Bagnarol, Gianluca Lattanzi, Jan Åström, and Mikko Karttunen</p><p>Radiation therapy is one of the most common cancer treatments, and dose optimization and targeting of radiation are crucial since both cancerous and healthy cells are affected. Different mathematical and computational approaches have been developed for this task. The most common mathematical approac…</p><br/><p>[Phys. Rev. E 112, 064413] Published Tue Dec 23, 2025</p>]]></content:encoded>
    <dc:title>From radiation dose to cellular dynamics: A discrete model for simulating cancer therapy</dc:title>
    <dc:creator>Mirko Bagnarol, Gianluca Lattanzi, Jan Åström, and Mikko Karttunen</dc:creator>
    <dc:date>2025-12-23T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064413 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/fn8b-s7x3</dc:identifier>
    <prism:doi>10.1103/fn8b-s7x3</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-23T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/fn8b-s7x3</prism:url>
    <prism:startingPage>064413</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/wvbd-j5rw">
    <title>Kubo-Martin-Schwinger states of path-structured flow in directed brain synaptic networks</title>
    <link>http://link.aps.org/doi/10.1103/wvbd-j5rw</link>
    <description>Author(s): Elkaïoum M. Moutuou and Habib Benali&lt;br/&gt;&lt;p&gt;The brain's synaptic network, characterized by parallel connections and feedback loops, drives interaction pathways between neurons through a large system with infinitely many degrees of freedom. This system is best modeled by the graph C*-algebra of the underlying directed graph, the Toeplitz-Cuntz…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064412] Published Thu Dec 18, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Elkaïoum M. Moutuou and Habib Benali</p><p>The brain's synaptic network, characterized by parallel connections and feedback loops, drives interaction pathways between neurons through a large system with infinitely many degrees of freedom. This system is best modeled by the graph C*-algebra of the underlying directed graph, the Toeplitz-Cuntz…</p><br/><p>[Phys. Rev. E 112, 064412] Published Thu Dec 18, 2025</p>]]></content:encoded>
    <dc:title>Kubo-Martin-Schwinger states of path-structured flow in directed brain synaptic networks</dc:title>
    <dc:creator>Elkaïoum M. Moutuou and Habib Benali</dc:creator>
    <dc:date>2025-12-18T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064412 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/wvbd-j5rw</dc:identifier>
    <prism:doi>10.1103/wvbd-j5rw</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-18T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/wvbd-j5rw</prism:url>
    <prism:startingPage>064412</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/bb12-kz72">
    <title>Simulating mono- and multiprotein phosphorylation within nanoclusters</title>
    <link>http://link.aps.org/doi/10.1103/bb12-kz72</link>
    <description>Author(s): Olivier Destaing and Bertrand Fourcade&lt;br/&gt;&lt;p&gt;Protein nanoclustering is a characteristic feature of their activated state and is essential for forming numerous subcellular structures. The formation of these nanoclusters is highly dependent on a series of posttranslational modifications, such as mono- and multiphosphorylation and dephosphorylati…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064411] Published Wed Dec 10, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Olivier Destaing and Bertrand Fourcade</p><p>Protein nanoclustering is a characteristic feature of their activated state and is essential for forming numerous subcellular structures. The formation of these nanoclusters is highly dependent on a series of posttranslational modifications, such as mono- and multiphosphorylation and dephosphorylati…</p><br/><p>[Phys. Rev. E 112, 064411] Published Wed Dec 10, 2025</p>]]></content:encoded>
    <dc:title>Simulating mono- and multiprotein phosphorylation within nanoclusters</dc:title>
    <dc:creator>Olivier Destaing and Bertrand Fourcade</dc:creator>
    <dc:date>2025-12-10T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064411 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/bb12-kz72</dc:identifier>
    <prism:doi>10.1103/bb12-kz72</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-10T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/bb12-kz72</prism:url>
    <prism:startingPage>064411</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/2pgs-gwrf">
    <title>Entropic marker of cancer cell softening under shear stress</title>
    <link>http://link.aps.org/doi/10.1103/2pgs-gwrf</link>
    <description>Author(s): A. S. Nikitiuk&lt;br/&gt;&lt;p&gt;Metastasis of cancer cells is closely associated with their ability to undergo mechanical softening under shear stress. A statistical-thermodynamic model has been developed to demonstrate the crucial role of entropic effects in this process. The model establishes a quantitative relationship between …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, L062402] Published Wed Dec 10, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): A. S. Nikitiuk</p><p>Metastasis of cancer cells is closely associated with their ability to undergo mechanical softening under shear stress. A statistical-thermodynamic model has been developed to demonstrate the crucial role of entropic effects in this process. The model establishes a quantitative relationship between …</p><br/><p>[Phys. Rev. E 112, L062402] Published Wed Dec 10, 2025</p>]]></content:encoded>
    <dc:title>Entropic marker of cancer cell softening under shear stress</dc:title>
    <dc:creator>A. S. Nikitiuk</dc:creator>
    <dc:date>2025-12-10T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, L062402 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/2pgs-gwrf</dc:identifier>
    <prism:doi>10.1103/2pgs-gwrf</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-10T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/2pgs-gwrf</prism:url>
    <prism:startingPage>L062402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/6c4s-bgyx">
    <title>Effects of different organic solvents on the structure of $\mathrm{A}{β}_{1−42}$ monomer</title>
    <link>http://link.aps.org/doi/10.1103/6c4s-bgyx</link>
    <description>Author(s): Chen Chen, Huxuan Chen, Yousheng Yu, and Rongri Tan&lt;br/&gt;&lt;p&gt;The aggregation of amyloid-$β42$ ($\mathrm{A}β42$) peptide, a key pathological event in Alzheimer's disease, is strongly influenced by its solvent environment. While cosolvents are often used in experimental studies, their specific role in modulating the conformational stability and aggregation prop…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064409] Published Tue Dec 09, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Chen Chen, Huxuan Chen, Yousheng Yu, and Rongri Tan</p><p>The aggregation of amyloid-<math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>β</mi><mn>42</mn></mrow></math> (<math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi mathvariant="normal">A</mi><mi>β</mi><mn>42</mn></mrow></math>) peptide, a key pathological event in Alzheimer's disease, is strongly influenced by its solvent environment. While cosolvents are often used in experimental studies, their specific role in modulating the conformational stability and aggregation propensity of <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi mathvariant="normal">A</mi><mi>β</mi><mn>4…</mn></mrow></math></p><br/><p>[Phys. Rev. E 112, 064409] Published Tue Dec 09, 2025</p>]]></content:encoded>
    <dc:title>Effects of different organic solvents on the structure of $\mathrm{A}{β}_{1−42}$ monomer</dc:title>
    <dc:creator>Chen Chen, Huxuan Chen, Yousheng Yu, and Rongri Tan</dc:creator>
    <dc:date>2025-12-09T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064409 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/6c4s-bgyx</dc:identifier>
    <prism:doi>10.1103/6c4s-bgyx</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-09T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/6c4s-bgyx</prism:url>
    <prism:startingPage>064409</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/6f72-xk9b">
    <title>Chemically active droplets in crowded environments</title>
    <link>http://link.aps.org/doi/10.1103/6f72-xk9b</link>
    <description>Author(s): Jacques D. Fries, Roxanne Berthin, Chengjie Luo, Marie Jardat, David Zwicker, Vincent Dahirel, and Pierre Illien&lt;br/&gt;&lt;p&gt;Biomolecular condensates are essential for cellular organization and result from phase separation in systems far from thermodynamic equilibrium. Among various models, chemically active droplets play a significant role, and consist of proteins that switch between attractive and repulsive states via n…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064410] Published Tue Dec 09, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Jacques D. Fries, Roxanne Berthin, Chengjie Luo, Marie Jardat, David Zwicker, Vincent Dahirel, and Pierre Illien</p><p>Biomolecular condensates are essential for cellular organization and result from phase separation in systems far from thermodynamic equilibrium. Among various models, chemically active droplets play a significant role, and consist of proteins that switch between attractive and repulsive states via n…</p><br/><p>[Phys. Rev. E 112, 064410] Published Tue Dec 09, 2025</p>]]></content:encoded>
    <dc:title>Chemically active droplets in crowded environments</dc:title>
    <dc:creator>Jacques D. Fries, Roxanne Berthin, Chengjie Luo, Marie Jardat, David Zwicker, Vincent Dahirel, and Pierre Illien</dc:creator>
    <dc:date>2025-12-09T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064410 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/6f72-xk9b</dc:identifier>
    <prism:doi>10.1103/6f72-xk9b</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-09T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/6f72-xk9b</prism:url>
    <prism:startingPage>064410</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/9cp8-vwlj">
    <title>Using random perturbations to infer the structure of feedback control in gene expression</title>
    <link>http://link.aps.org/doi/10.1103/9cp8-vwlj</link>
    <description>Author(s): Seshu Iyengar and Andreas Hilfinger&lt;br/&gt;&lt;p&gt;Feedback in cellular processes is typically inferred through cellular responses to experimental perturbations. Modular response analysis provides a theoretical framework for translating specific perturbations into feedback sensitivities between cellular modules. However, in large-scale drug perturba…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064404] Published Mon Dec 08, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Seshu Iyengar and Andreas Hilfinger</p><p>Feedback in cellular processes is typically inferred through cellular responses to experimental perturbations. Modular response analysis provides a theoretical framework for translating specific perturbations into feedback sensitivities between cellular modules. However, in large-scale drug perturba…</p><br/><p>[Phys. Rev. E 112, 064404] Published Mon Dec 08, 2025</p>]]></content:encoded>
    <dc:title>Using random perturbations to infer the structure of feedback control in gene expression</dc:title>
    <dc:creator>Seshu Iyengar and Andreas Hilfinger</dc:creator>
    <dc:date>2025-12-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064404 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/9cp8-vwlj</dc:identifier>
    <prism:doi>10.1103/9cp8-vwlj</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/9cp8-vwlj</prism:url>
    <prism:startingPage>064404</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/n1yv-lb3m">
    <title>Role of chain length in the penetration and clustering dynamics of 1-alkanols in lipid bilayer membranes</title>
    <link>http://link.aps.org/doi/10.1103/n1yv-lb3m</link>
    <description>Author(s): Anirban Polley&lt;br/&gt;&lt;p&gt;1-alkanols are well known to have anesthetic and penetration properties, though the mode of operation remains enigmatic. We perform extensive atomistic molecular dynamics simulation to study the penetration of 1-alkanols of different chain lengths in the dioleoyl-phosphatidylcholine (DOPC) bilayer m…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064405] Published Mon Dec 08, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Anirban Polley</p><p>1-alkanols are well known to have anesthetic and penetration properties, though the mode of operation remains enigmatic. We perform extensive atomistic molecular dynamics simulation to study the penetration of 1-alkanols of different chain lengths in the dioleoyl-phosphatidylcholine (DOPC) bilayer m…</p><br/><p>[Phys. Rev. E 112, 064405] Published Mon Dec 08, 2025</p>]]></content:encoded>
    <dc:title>Role of chain length in the penetration and clustering dynamics of 1-alkanols in lipid bilayer membranes</dc:title>
    <dc:creator>Anirban Polley</dc:creator>
    <dc:date>2025-12-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064405 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/n1yv-lb3m</dc:identifier>
    <prism:doi>10.1103/n1yv-lb3m</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/n1yv-lb3m</prism:url>
    <prism:startingPage>064405</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/s4yf-m7xp">
    <title>Parameter degeneracy in the vertex model for tissues</title>
    <link>http://link.aps.org/doi/10.1103/s4yf-m7xp</link>
    <description>Author(s): Paulo C. Godolphim, Leonardo G. Brunnet, and Rodrigo Soto&lt;br/&gt;&lt;p&gt;The vertex model with homogeneous cell properties is known to exhibit a parameter degeneracy in which the system's dynamics is independent of the target area. Here, we show, for the heterogeneous vertex model where cells differ in size and stiffness, that degeneracy is also present with the average …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064406] Published Mon Dec 08, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Paulo C. Godolphim, Leonardo G. Brunnet, and Rodrigo Soto</p><p>The vertex model with homogeneous cell properties is known to exhibit a parameter degeneracy in which the system's dynamics is independent of the target area. Here, we show, for the heterogeneous vertex model where cells differ in size and stiffness, that degeneracy is also present with the average …</p><br/><p>[Phys. Rev. E 112, 064406] Published Mon Dec 08, 2025</p>]]></content:encoded>
    <dc:title>Parameter degeneracy in the vertex model for tissues</dc:title>
    <dc:creator>Paulo C. Godolphim, Leonardo G. Brunnet, and Rodrigo Soto</dc:creator>
    <dc:date>2025-12-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064406 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/s4yf-m7xp</dc:identifier>
    <prism:doi>10.1103/s4yf-m7xp</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/s4yf-m7xp</prism:url>
    <prism:startingPage>064406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/x79c-3j1y">
    <title>Spontaneous demixing of a binary cell mixture induced by self-pulsation disparity in confluent tissues</title>
    <link>http://link.aps.org/doi/10.1103/x79c-3j1y</link>
    <description>Author(s): Xiao-lan Li and Wei-jing Zhu&lt;br/&gt;&lt;p&gt;The sorting of cell mixtures is fundamental to biological processes such as embryonic development, wound healing, and cancer metastasis. Previous studies have overlooked the unique nonmotile activities of cells, such as self-pulsating. In a 2D bidisperse confluent biological tissue lacking heterogen…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064407] Published Mon Dec 08, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Xiao-lan Li and Wei-jing Zhu</p><p>The sorting of cell mixtures is fundamental to biological processes such as embryonic development, wound healing, and cancer metastasis. Previous studies have overlooked the unique nonmotile activities of cells, such as self-pulsating. In a 2D bidisperse confluent biological tissue lacking heterogen…</p><br/><p>[Phys. Rev. E 112, 064407] Published Mon Dec 08, 2025</p>]]></content:encoded>
    <dc:title>Spontaneous demixing of a binary cell mixture induced by self-pulsation disparity in confluent tissues</dc:title>
    <dc:creator>Xiao-lan Li and Wei-jing Zhu</dc:creator>
    <dc:date>2025-12-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064407 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/x79c-3j1y</dc:identifier>
    <prism:doi>10.1103/x79c-3j1y</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/x79c-3j1y</prism:url>
    <prism:startingPage>064407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/2zm9-r3qs">
    <title>Computational model of fractal interface formation in bacterial biofilms</title>
    <link>http://link.aps.org/doi/10.1103/2zm9-r3qs</link>
    <description>Author(s): Caelan Brooks, Meiyi Yao, Jake T. McCool, Alan Gillman, Gürol M. Süel, Andrew Mugler, and Joseph W. Larkin&lt;br/&gt;&lt;p&gt;Bacteria benefit from cellular heterogeneity: cells differentiate into diverse gene expression states. As colonies grow, cellular phenotypes arrange into spatial patterns. To uncover the functional role of these emergent patterns, we must understand how they arise from cellular growth and mechanical…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064408] Published Mon Dec 08, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Caelan Brooks, Meiyi Yao, Jake T. McCool, Alan Gillman, Gürol M. Süel, Andrew Mugler, and Joseph W. Larkin</p><p>Bacteria benefit from cellular heterogeneity: cells differentiate into diverse gene expression states. As colonies grow, cellular phenotypes arrange into spatial patterns. To uncover the functional role of these emergent patterns, we must understand how they arise from cellular growth and mechanical…</p><br/><p>[Phys. Rev. E 112, 064408] Published Mon Dec 08, 2025</p>]]></content:encoded>
    <dc:title>Computational model of fractal interface formation in bacterial biofilms</dc:title>
    <dc:creator>Caelan Brooks, Meiyi Yao, Jake T. McCool, Alan Gillman, Gürol M. Süel, Andrew Mugler, and Joseph W. Larkin</dc:creator>
    <dc:date>2025-12-08T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064408 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/2zm9-r3qs</dc:identifier>
    <prism:doi>10.1103/2zm9-r3qs</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-08T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/2zm9-r3qs</prism:url>
    <prism:startingPage>064408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/tn2w-kzb8">
    <title>Tuning nuclear rheology through transient chromatin cross-links</title>
    <link>http://link.aps.org/doi/10.1103/tn2w-kzb8</link>
    <description>Author(s): Yin-Dong Zhang, Chao-Hao Wu, Han-Xuan Shi, Holger Merlitz, Kerry S. Bloom, M. Gregory Forest, Chen-Xu Wu, and Xue-Zheng Cao&lt;br/&gt;&lt;p&gt;In eukaryotic cells, the nucleolus is a pivotal subnuclear organelle, instrumental in ribosomal RNA synthesis and nuclear organization. Although the unique viscoelastic properties of the nucleolus are associated with transient interactions between chromatin and regulatory proteins, the specific mech…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064403] Published Fri Dec 05, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Yin-Dong Zhang, Chao-Hao Wu, Han-Xuan Shi, Holger Merlitz, Kerry S. Bloom, M. Gregory Forest, Chen-Xu Wu, and Xue-Zheng Cao</p><p>In eukaryotic cells, the nucleolus is a pivotal subnuclear organelle, instrumental in ribosomal RNA synthesis and nuclear organization. Although the unique viscoelastic properties of the nucleolus are associated with transient interactions between chromatin and regulatory proteins, the specific mech…</p><br/><p>[Phys. Rev. E 112, 064403] Published Fri Dec 05, 2025</p>]]></content:encoded>
    <dc:title>Tuning nuclear rheology through transient chromatin cross-links</dc:title>
    <dc:creator>Yin-Dong Zhang, Chao-Hao Wu, Han-Xuan Shi, Holger Merlitz, Kerry S. Bloom, M. Gregory Forest, Chen-Xu Wu, and Xue-Zheng Cao</dc:creator>
    <dc:date>2025-12-05T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064403 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/tn2w-kzb8</dc:identifier>
    <prism:doi>10.1103/tn2w-kzb8</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-05T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/tn2w-kzb8</prism:url>
    <prism:startingPage>064403</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/5frq-hk7t">
    <title>Emergence of hyperuniformity from reaction-diffusion interactions in Turing patterns</title>
    <link>http://link.aps.org/doi/10.1103/5frq-hk7t</link>
    <description>Author(s): Eric Ballestero, Aroune Duclos, Adelin Barbacci, and Vicent Romero-García&lt;br/&gt;&lt;p&gt;Self-organized Turing patterns, arising from the dynamic interplay of reaction and diffusion processes, are instrumental in modeling natural morphogenesis and deciphering the biological functions of diverse structures. These patterns exhibit complex spatial arrangements that can be analyzed through …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, L062401] Published Tue Dec 02, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Eric Ballestero, Aroune Duclos, Adelin Barbacci, and Vicent Romero-García</p><p>Self-organized Turing patterns, arising from the dynamic interplay of reaction and diffusion processes, are instrumental in modeling natural morphogenesis and deciphering the biological functions of diverse structures. These patterns exhibit complex spatial arrangements that can be analyzed through …</p><br/><p>[Phys. Rev. E 112, L062401] Published Tue Dec 02, 2025</p>]]></content:encoded>
    <dc:title>Emergence of hyperuniformity from reaction-diffusion interactions in Turing patterns</dc:title>
    <dc:creator>Eric Ballestero, Aroune Duclos, Adelin Barbacci, and Vicent Romero-García</dc:creator>
    <dc:date>2025-12-02T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, L062401 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/5frq-hk7t</dc:identifier>
    <prism:doi>10.1103/5frq-hk7t</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-02T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/5frq-hk7t</prism:url>
    <prism:startingPage>L062401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/d7mp-pk1w">
    <title>Memory in neural activity: Long-range order without criticality</title>
    <link>http://link.aps.org/doi/10.1103/d7mp-pk1w</link>
    <description>Author(s): Jay K.-C. Sun, Chesson Sipling, Yuan-Hang Zhang, and Massimiliano Di Ventra&lt;br/&gt;&lt;p&gt;The “criticality hypothesis,” based on observed scale-free correlations in neural activity, posits that the brain operates at a critical point of transition between two phases. However, the validity of this hypothesis is still debated. Here, employing a commonly used model of cortical dynamics, we f…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064401] Published Mon Dec 01, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Jay K.-C. Sun, Chesson Sipling, Yuan-Hang Zhang, and Massimiliano Di Ventra</p><p>The “criticality hypothesis,” based on observed scale-free correlations in neural activity, posits that the brain operates at a critical point of transition between two phases. However, the validity of this hypothesis is still debated. Here, employing a commonly used model of cortical dynamics, we f…</p><br/><p>[Phys. Rev. E 112, 064401] Published Mon Dec 01, 2025</p>]]></content:encoded>
    <dc:title>Memory in neural activity: Long-range order without criticality</dc:title>
    <dc:creator>Jay K.-C. Sun, Chesson Sipling, Yuan-Hang Zhang, and Massimiliano Di Ventra</dc:creator>
    <dc:date>2025-12-01T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064401 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/d7mp-pk1w</dc:identifier>
    <prism:doi>10.1103/d7mp-pk1w</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-01T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/d7mp-pk1w</prism:url>
    <prism:startingPage>064401</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/gjc6-tnp1">
    <title>Model for electrocurvature phase transitions in lipid bilayers driven by flip-flop asymmetry</title>
    <link>http://link.aps.org/doi/10.1103/gjc6-tnp1</link>
    <description>Author(s): Adel Mohammed Djibaoui, Robert Bouzerar, and Mohammed Guedda&lt;br/&gt;&lt;p&gt;The active transfer of phospholipids between membrane leaflets (flip-flop), mediated by (adenosine triphosphate) ATP-dependent enzymes such as flippases and floppases, is a key regulator of membrane asymmetry and curvature. However, the theoretical understanding of curvature generation driven by fli…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 064402] Published Mon Dec 01, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Adel Mohammed Djibaoui, Robert Bouzerar, and Mohammed Guedda</p><p>The active transfer of phospholipids between membrane leaflets (flip-flop), mediated by (adenosine triphosphate) ATP-dependent enzymes such as flippases and floppases, is a key regulator of membrane asymmetry and curvature. However, the theoretical understanding of curvature generation driven by fli…</p><br/><p>[Phys. Rev. E 112, 064402] Published Mon Dec 01, 2025</p>]]></content:encoded>
    <dc:title>Model for electrocurvature phase transitions in lipid bilayers driven by flip-flop asymmetry</dc:title>
    <dc:creator>Adel Mohammed Djibaoui, Robert Bouzerar, and Mohammed Guedda</dc:creator>
    <dc:date>2025-12-01T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 064402 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/gjc6-tnp1</dc:identifier>
    <prism:doi>10.1103/gjc6-tnp1</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>6</prism:number>
    <prism:publicationDate>2025-12-01T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/gjc6-tnp1</prism:url>
    <prism:startingPage>064402</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/l46r-ndl8">
    <title>Relevance of the computational models of bacterial interactions in the simulation of biofilm growth</title>
    <link>http://link.aps.org/doi/10.1103/l46r-ndl8</link>
    <description>Author(s): Gabriel Santos-Díaz, Álvaro Rodríguez-Rivas, and Alejandro Cuetos&lt;br/&gt;&lt;p&gt;This study explores the application of elongated particle interaction models, traditionally used in liquid crystal phase research, in the context of early bacterial biofilm development. Through computer simulations using an agent-based model, we have investigated the possibilities and limitations of…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 054411] Published Mon Nov 24, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Gabriel Santos-Díaz, Álvaro Rodríguez-Rivas, and Alejandro Cuetos</p><p>This study explores the application of elongated particle interaction models, traditionally used in liquid crystal phase research, in the context of early bacterial biofilm development. Through computer simulations using an agent-based model, we have investigated the possibilities and limitations of…</p><br/><p>[Phys. Rev. E 112, 054411] Published Mon Nov 24, 2025</p>]]></content:encoded>
    <dc:title>Relevance of the computational models of bacterial interactions in the simulation of biofilm growth</dc:title>
    <dc:creator>Gabriel Santos-Díaz, Álvaro Rodríguez-Rivas, and Alejandro Cuetos</dc:creator>
    <dc:date>2025-11-24T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 054411 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/l46r-ndl8</dc:identifier>
    <prism:doi>10.1103/l46r-ndl8</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2025-11-24T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/l46r-ndl8</prism:url>
    <prism:startingPage>054411</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/qr7v-btpp">
    <title>Boundary homogenization and numerical modeling of solute transport across the blood-brain barrier</title>
    <link>http://link.aps.org/doi/10.1103/qr7v-btpp</link>
    <description>Author(s): Reza Yousofvand, Gregory Handy, and Jeffrey Tithof&lt;br/&gt;&lt;p&gt;Effective clearance of amyloid-$β$ ($\mathrm{A}β$) from the brain is essential for preventing neurodegenerative diseases such as Alzheimer's. A significant portion of this clearance occurs through the blood-brain barrier (BBB) via receptor-mediated transport. However, current models fail to capture …&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 054410] Published Fri Nov 21, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Reza Yousofvand, Gregory Handy, and Jeffrey Tithof</p><p>Effective clearance of amyloid-<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>β</mi></math> (<math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi mathvariant="normal">A</mi><mi>β</mi></mrow></math>) from the brain is essential for preventing neurodegenerative diseases such as Alzheimer's. A significant portion of this clearance occurs through the blood-brain barrier (BBB) via receptor-mediated transport. However, current models fail to capture the complex k…</p><br/><p>[Phys. Rev. E 112, 054410] Published Fri Nov 21, 2025</p>]]></content:encoded>
    <dc:title>Boundary homogenization and numerical modeling of solute transport across the blood-brain barrier</dc:title>
    <dc:creator>Reza Yousofvand, Gregory Handy, and Jeffrey Tithof</dc:creator>
    <dc:date>2025-11-21T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 054410 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/qr7v-btpp</dc:identifier>
    <prism:doi>10.1103/qr7v-btpp</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2025-11-21T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/qr7v-btpp</prism:url>
    <prism:startingPage>054410</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/rv4q-l8cq">
    <title>Geometric phase in the Crow-Kimura model of molecular evolution on dynamic environments</title>
    <link>http://link.aps.org/doi/10.1103/rv4q-l8cq</link>
    <description>Author(s): Vladimir Suvorov, Ricard Solé, and David B. Saakian&lt;br/&gt;&lt;p&gt;When taking place under fluctuating environments, some classical results of evolutionary dynamics in fitness landscapes need to be reconsidered. Under such nonequilibrium conditions, the properties of adaptive evolution might escape from the expectations grounded in equilibrium systems. Here, an imp…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 054409] Published Mon Nov 17, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Vladimir Suvorov, Ricard Solé, and David B. Saakian</p><p>When taking place under fluctuating environments, some classical results of evolutionary dynamics in fitness landscapes need to be reconsidered. Under such nonequilibrium conditions, the properties of adaptive evolution might escape from the expectations grounded in equilibrium systems. Here, an imp…</p><br/><p>[Phys. Rev. E 112, 054409] Published Mon Nov 17, 2025</p>]]></content:encoded>
    <dc:title>Geometric phase in the Crow-Kimura model of molecular evolution on dynamic environments</dc:title>
    <dc:creator>Vladimir Suvorov, Ricard Solé, and David B. Saakian</dc:creator>
    <dc:date>2025-11-17T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 054409 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/rv4q-l8cq</dc:identifier>
    <prism:doi>10.1103/rv4q-l8cq</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2025-11-17T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/rv4q-l8cq</prism:url>
    <prism:startingPage>054409</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/91m7-tq8k">
    <title>Instability of a fluctuating biomimetic membrane driven by an applied uniform dc electric field</title>
    <link>http://link.aps.org/doi/10.1103/91m7-tq8k</link>
    <description>Author(s): Zongxin Yu, Shuozhen Zhao, Michael J. Miksis, and Petia M. Vlahovska&lt;br/&gt;&lt;p&gt;The linear stability of a lipid membrane under a dc electric field, applied perpendicularly to the interface, is investigated in the electrokinetic framework, taking into account the dynamics of the Debye layers formed near the membrane. The perturbed charge in the Debye layers redistributes and gen…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 054408] Published Thu Nov 13, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Zongxin Yu, Shuozhen Zhao, Michael J. Miksis, and Petia M. Vlahovska</p><p>The linear stability of a lipid membrane under a dc electric field, applied perpendicularly to the interface, is investigated in the electrokinetic framework, taking into account the dynamics of the Debye layers formed near the membrane. The perturbed charge in the Debye layers redistributes and gen…</p><br/><p>[Phys. Rev. E 112, 054408] Published Thu Nov 13, 2025</p>]]></content:encoded>
    <dc:title>Instability of a fluctuating biomimetic membrane driven by an applied uniform dc electric field</dc:title>
    <dc:creator>Zongxin Yu, Shuozhen Zhao, Michael J. Miksis, and Petia M. Vlahovska</dc:creator>
    <dc:date>2025-11-13T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 054408 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/91m7-tq8k</dc:identifier>
    <prism:doi>10.1103/91m7-tq8k</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2025-11-13T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/91m7-tq8k</prism:url>
    <prism:startingPage>054408</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/c9px-mdhs">
    <title>Coarsening dynamics of chemotactic aggregates</title>
    <link>http://link.aps.org/doi/10.1103/c9px-mdhs</link>
    <description>Author(s): Henrik Weyer, David Muramatsu, and Erwin Frey&lt;br/&gt;&lt;p&gt;Autochemotaxis, the directed movement of cells along gradients in chemicals they secrete, is central to the formation of complex spatiotemporal patterns in biological systems. Since the introduction of the Keller-Segel model, numerous variants have been analyzed, revealing phenomena such as coarseni…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 054406] Published Mon Nov 10, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Henrik Weyer, David Muramatsu, and Erwin Frey</p><p>Autochemotaxis, the directed movement of cells along gradients in chemicals they secrete, is central to the formation of complex spatiotemporal patterns in biological systems. Since the introduction of the Keller-Segel model, numerous variants have been analyzed, revealing phenomena such as coarseni…</p><br/><p>[Phys. Rev. E 112, 054406] Published Mon Nov 10, 2025</p>]]></content:encoded>
    <dc:title>Coarsening dynamics of chemotactic aggregates</dc:title>
    <dc:creator>Henrik Weyer, David Muramatsu, and Erwin Frey</dc:creator>
    <dc:date>2025-11-10T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 054406 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/c9px-mdhs</dc:identifier>
    <prism:doi>10.1103/c9px-mdhs</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2025-11-10T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/c9px-mdhs</prism:url>
    <prism:startingPage>054406</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
  <item rdf:about="http://link.aps.org/doi/10.1103/vfhg-gksh">
    <title>Intergenerational scaling law determines the precision kinematics of stochastic individual-cell-size homeostasis</title>
    <link>http://link.aps.org/doi/10.1103/vfhg-gksh</link>
    <description>Author(s): Kunaal Joshi, Charles S. Wright, Rudro R. Biswas, and Srividya Iyer-Biswas&lt;br/&gt;&lt;p&gt;Individual bacterial cells grow and divide stochastically. Yet they maintain their characteristic sizes across generations within a tightly controlled range. What rules ensure intergenerational stochastic homeostasis of individual cell sizes? Valuable clues have emerged from high-precision long-term…&lt;/p&gt;&lt;br/&gt;[Phys. Rev. E 112, 054407] Published Mon Nov 10, 2025</description>
    <content:encoded><![CDATA[<p>Author(s): Kunaal Joshi, Charles S. Wright, Rudro R. Biswas, and Srividya Iyer-Biswas</p><p>Individual bacterial cells grow and divide stochastically. Yet they maintain their characteristic sizes across generations within a tightly controlled range. What rules ensure intergenerational stochastic homeostasis of individual cell sizes? Valuable clues have emerged from high-precision long-term…</p><br/><p>[Phys. Rev. E 112, 054407] Published Mon Nov 10, 2025</p>]]></content:encoded>
    <dc:title>Intergenerational scaling law determines the precision kinematics of stochastic individual-cell-size homeostasis</dc:title>
    <dc:creator>Kunaal Joshi, Charles S. Wright, Rudro R. Biswas, and Srividya Iyer-Biswas</dc:creator>
    <dc:date>2025-11-10T10:00:00+00:00</dc:date>
    <dc:rights>Personal use only, all commercial or other reuse prohibited</dc:rights>
    <dc:source>Phys. Rev. E 112, 054407 (2025)</dc:source>
    <dc:type>article</dc:type>
    <dc:identifier>doi:10.1103/vfhg-gksh</dc:identifier>
    <prism:doi>10.1103/vfhg-gksh</prism:doi>
    <prism:publicationName>Physical Review E</prism:publicationName>
    <prism:volume>112</prism:volume>
    <prism:number>5</prism:number>
    <prism:publicationDate>2025-11-10T10:00:00+00:00</prism:publicationDate>
    <prism:url>http://link.aps.org/doi/10.1103/vfhg-gksh</prism:url>
    <prism:startingPage>054407</prism:startingPage>
    <dc:subject>Biological Physics</dc:subject>
    <prism:section>Biological Physics</prism:section>
  </item>
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