November 12, 2024
11/05/2024
Review
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.
Image credit: National Cancer Institute
11/05/2024
Research Article
This study finds that five different community detection methods–the Leiden algorithm optimizing the Constant Potts Model, the Leiden algorithm optimizing modularity, Infomap, Markov Cluster (MCL), and Iterative k-core (IKC)–identify communities that fail even a mild requirement for well-connectedness.
Image credit: Shubham Dhage
11/05/2024
Research Article
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.
Image credit: Erik Odiin
11/05/2024
Research Article
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.
Image credit: Hiroshi Tsubono
11/05/2024
Research Article
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’s control policy, and the environmental resource dynamics.
Image credit: Arno Moller
11/05/2024
Research Article
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.
Image credit: Fayette Reynolds
11/05/2024
Research Article
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.
Image credit: Fusion Medical Animation
10/03/2024
RESEARCH ARTICLE
Rectangular association matrices with binary (0/1) entries are a common data structure in many research fields. These matrices can be equivalently expressed as bipartite networks that, in turn, can be projected onto pairs of unipartite networks. A variety of diversity statistics and network metrics can be used to quantify patterns in these matrices and networks
Image credit: Zeng Yili
10/03/2024
RESEARCH ARTICLE
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. Agents in different regions differ in their harvest seasons, wealth (rich and poor), degree of urbanisation and connection to domestic and global markets.
Image credit: Polina Rytova
10/03/2024
Research Article
This article formally proves the equivalence between Assembly Theory (AT) and Shannon Entropy via a method based upon the principles of statistical compression that belongs to the LZ family of popular compression algorithms
Image credit: Arun Clarke
10/03/2024
RESEARCH ARTICLE
This piece introduces a framework for the definition and measure of the geometric separability (linear and nonlinear) of mesoscale patterns by solving the travelling salesman problem (TSP), offering experimental evidence.
Image credit: Cannistraci et al
Connect with Us