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class="blurb authors"></div> </div> </div> </div> <div class="row one"> <article class="block medium image" id="cellcat-1-1"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Review</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000013" alt="Systematizing cellular complexity: A Hilbertian approach to biological problems">Systematizing cellular complexity: A Hilbertian approach to biological problems</a></h2> <div class="blurb"> <p>Addressing fundamental aspects of cellular regulation, adaptability, and noise management is vital for understanding the robustness and functionality of biological systems. These aspects encapsulate the challenges that cells face in maintaining stability, responding to environmental changes, and harnessing noise for functionality. </p> </div> </div> <p class="credits">Image credit: National Cancer Institute</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000013" alt="Systematizing cellular complexity: A Hilbertian approach to biological problems"><img alt="Systematizing cellular complexity: A Hilbertian approach to biological problems" data-file-extension="jpg" src="/complexsystems/indirect/6f2c3d0d32c045ccc24020d9534d0bfbffa66d7f40f85e9d84397a7529e6bc52"></a> </article> <article class="block medium image" id="cellcat-1-1"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000009" alt="Well-connectedness and community detection">Well-connectedness and community detection</a></h2> <div class="blurb"> <p>This study finds that five different community detection methods鈥搕he Leiden algorithm optimizing the Constant Potts Model, the Leiden algorithm optimizing modularity, Infomap, Markov Cluster (MCL), and Iterative k-core (IKC)鈥搃dentify communities that fail even a mild requirement for well-connectedness.</p> </div> </div> <p class="credits">Image credit: Shubham Dhage</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000009" alt="Well-connectedness and community detection"><img alt="Well-connectedness and community detection" data-file-extension="jpg" src="/complexsystems/indirect/55ae9520b046eaa28594bfad0efc9acc982ca1103edfc182f1101d71431c1dab"></a> </article> </div> <div class="row two"> <article class="block medium image" id="cellcat-1-2"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000017" alt="Synergistic integration of fragmented transportation networks: When do networks (not) synergize?">Synergistic integration of fragmented transportation networks: When do networks (not) synergize?</a></h2> <div class="blurb"> <p>This study investigated the effects of integrating two transportation networks to leverage the excess transportation capacity left behind by fluctuations in demand or fragmented by disasters. The authors developed an analytical framework and conducted numerical experiments to identify conditions under which network integration is beneficial.</p> </div> </div> <p class="credits">Image credit: Erik Odiin</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000017" alt="Synergistic integration of fragmented transportation networks: When do networks (not) synergize?"><img alt="Synergistic integration of fragmented transportation networks: When do networks (not) synergize?" data-file-extension="jpg" src="/complexsystems/indirect/e80eff8768095b4f622a7e8ec6edf29dab378cb712406e2ed733228f85e7ae3c"></a> </article> <article class="block medium image" id="cellcat-1-3"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000015" alt="Leveraging mathematical modeling framework to guide regimen strategy for phage therapy">Leveraging mathematical modeling framework to guide regimen strategy for phage therapy</a></h2> <div class="blurb"> <p>Understanding of the complex kinetics between phages, target bacteria, and the emergence of phage resistance remain hurdles to successful clinical outcomes. Building upon previous mathematical concepts, this study developed biologically-motivated nonlinear ordinary differential equation models to explore single, cocktail, and sequential phage treatment modalities. </p> </div> </div> <p class="credits">Image credit: Hiroshi Tsubono</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000015" alt="Leveraging mathematical modeling framework to guide regimen strategy for phage therapy"><img alt="Leveraging mathematical modeling framework to guide regimen strategy for phage therapy" data-file-extension="jpg" src="/complexsystems/indirect/3191a50e6dea4b131f9beca958cf995606488608ef2acf02041d5c316f812af5"></a> </article> </div> <div class="row three"> <div class="column left"> <article class="block large image" id="cellcat2-1"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000018" alt="A dynamical systems approach to optimal foraging">A dynamical systems approach to optimal foraging</a></h2> <div class="blurb"> <p>The authors present a novel approach to model foraging in-silico using a continuous coupled dynamical system. The dynamical system is composed of three differential equations, representing the position of the agent, the agent鈥檚 control policy, and the environmental resource dynamics.</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000018" alt="A dynamical systems approach to optimal foraging"><img alt="A dynamical systems approach to optimal foraging" data-file-extension="jpg" src="/complexsystems/indirect/24e890f9bbfbc9379577dee2f66f7cc9950093c37ad8e064a57c75d329a4f5e5"></a> <p class="credits">Image credit: Arno Moller</p> </article> <article class="block large image" id="cellcat2-2"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000019" alt="Autonomous and ubiquitous in-node learning algorithms of active directed graphs and its storage behavior">Autonomous and ubiquitous in-node learning algorithms of active directed graphs and its storage behavior</a></h2> <div class="blurb"> <p>the authors model biological neuronal networks as active directed graphs, where each node is self-adaptive and relies on local information for decision-making. They explore how these networks implement memory mechanisms, using a parallel distributed information access algorithm.</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000019" alt="Autonomous and ubiquitous in-node learning algorithms of active directed graphs and its storage behavior"><img alt="Autonomous and ubiquitous in-node learning algorithms of active directed graphs and its storage behavior" data-file-extension="jpg" src="/complexsystems/indirect/a4f0f8b2a6c4f3b487b3e48a6805a54c05141f630f48ce16f8626794ba1c4fc3"></a> <p class="credits">Image credit: Fayette Reynolds</p> </article> <article class="block large image" id="cellcat2-3"> <div class="block-content"> <p class="date">11/05/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000016" alt="System and transcript dynamics of cells infected with severe acute respiratory syndrome virus 2 (SARS-CoV-2)">System and transcript dynamics of cells infected with severe acute respiratory syndrome virus 2 (SARS-CoV-2)</a></h2> <div class="blurb"> <p>The authors apply statistical laws from complex systems theory to gene expression data from single cells infected with SARS-CoV-2 to uncover how viral infection affects the cells at the system and individual gene levels.</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000016" alt="System and transcript dynamics of cells infected with severe acute respiratory syndrome virus 2 (SARS-CoV-2)"><img alt="System and transcript dynamics of cells infected with severe acute respiratory syndrome virus 2 (SARS-CoV-2)" data-file-extension="jpg" src="/complexsystems/indirect/3aaff0dc36164fd15e642d81d6dc0f937e9a53dc3503475ff1739772e933dbf1"></a> <p class="credits">Image credit: Fusion Medical Animation</p> </article> <div class="row-small-blocks"> <article class="block small image" id="cellcat3-1"> <div class="block-content"> <p class="date">10/03/2024</p> <p class="category">RESEARCH ARTICLE</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000010" alt="Pattern detection in bipartite networks: A review of terminology, applications, and methods">Pattern detection in bipartite networks: A review of terminology, applications, and methods</a></h2> <div class="blurb"> <p>Rectangular association matrices with binary (0/1) entries are a common data structure in many research fields. These matrices can be equivalently expressed...</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000010" alt="Pattern detection in bipartite networks: A review of terminology, applications, and methods"><img alt="Pattern detection in bipartite networks: A review of terminology, applications, and methods" data-file-extension="jpg" src="/complexsystems/indirect/c5e1b4fac7306cb76d826ef27ab9715abc8aa76aac2067d5ff6c293a18d6c8b0"></a> <p class="credits">Image credit: Zeng Yili</p> </article> <article class="block small image" id="cellcat3-2"> <div class="block-content"> <p class="date">10/03/2024</p> <p class="category">RESEARCH ARTICLE</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000006" alt="DARTS: Modelling effects of shocks on global, regional, urban and rural food security">DARTS: Modelling effects of shocks on global, regional, urban and rural food security</a></h2> <div class="blurb"> <p>DARTS is a new agent-based model that models monthly dynamics of food production, trade, stocking, consumption and food security for different interconnected world regions and a city state.</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000006" alt="DARTS: Modelling effects of shocks on global, regional, urban and rural food security"><img alt="DARTS: Modelling effects of shocks on global, regional, urban and rural food security" data-file-extension="jpg" src="/complexsystems/indirect/3ecd4d34c06c37e095cb22fb523d8512e5d740ee9b2d86622dff9efdcf4279d4"></a> <p class="credits">Image credit: Polina Rytova</p> </article> <article class="block small image" id="cellcat3-3"> <div class="block-content"> <p class="date">10/03/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000014" alt="Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution">Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution</a></h2> <div class="blurb"> <p>This article formally proves the equivalence between Assembly Theory (AT) and Shannon Entropy via a method based upon the principles of statistical...</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000014" alt="Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution"><img alt="Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution" data-file-extension="jpg" src="/complexsystems/indirect/f50fe3a7d966e0698f25df96095ad0f2c29dbcc42077d8df62b15e822057fc93"></a> <p class="credits">Image credit: Arun Clarke</p> </article> <article class="block small image" id="cellcat3-4"> <div class="block-content"> <p class="date">10/03/2024</p> <p class="category">RESEARCH ARTICLE</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000012" alt="Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks">Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks</a></h2> <div class="blurb"> <p>This piece introduces a framework for the definition and measure of the geometric separability...</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000012" alt="Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks"><img alt="Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks" data-file-extension="jpg" src="/complexsystems/indirect/0ffa7b4a8602056d606608b6f061e3e7d7f6a6230b535c04bd7d3085d2508652"></a> <p class="credits">Image credit: Cannistraci et al</p> </article> </div> </div> <div class="column right"> <div id="external-content-top"> <div id="submission-links"> <h3>Publish with PLOS</h3> <ul class="split-container"> <li class="split-item"><a href="/complexsystems/s/submit-now" id="submissionInstruct">Submission Instructions</a></li> <li class="split-item"><a href="https://www.editorialmanager.com/pcsy" id="submissionManu">Submit Your Manuscript</a></li> </ul> </div> <div id="social-links"> <h3>Connect with Us</h3> <ul class="social-media"> <li id="social-link-email"><a href="/complexsystems/s/contact" class="social" title="Contact Us"> <span class="icon-email" icon-hidden="true"></span> <span 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