Latest Articles for Biological Systems

Study of how agents reach agreement with limited communication.

New hybrid method enhances study of matter using X-ray lasers.

Nonlocal models provide insight into complex biological interactions over distances.

A novel method to find maximal -plexes efficiently in large datasets.

Exploring unique behaviors in ordered polar active fluids through phase separation.

A new model enhances understanding of fluid behavior at moving boundaries.

Microorganisms use chemical signals to find food and avoid danger.

Exploring the role of entropy in hyper-graphon theory and its applications.

This article explores how noise affects neuron activity in networks.

Study the interactions and behaviors in complex networks through innovative techniques.

This study examines how specific structures affect the behavior of complex systems.

Examining how parallel synapses enhance neuron communication and memory.

This article examines how directed networks function and their significance in various systems.

This article studies how point and extended defects affect particle movement in TASEP.

Researching how fluids and structures influence each other, especially under random conditions.

Exploring how synchronized oscillators react to noise and influence system stability.

Discover the connections between quantum physics, digital systems, and biological life.

A new method improves link prediction by addressing noisy and incomplete data.

Explore how chemical reactions affect fluid behaviors in thin films.

This study presents methods for oscillator synchronization despite faults and malicious behavior.

Examining methods to control and manage complex networks effectively.

Introducing a method to combine biological datasets for better network reconstruction.

A new method allows networks to adapt based on task efficiency.

Learn how Matern-type random fields improve design reliability and performance.

A look into why hot water can freeze faster than cold water.

This study examines how active environments affect particle transport and system behavior.

Examining the unique movements of active particles in confined spaces.

HEroBM improves accuracy in backmapping coarse-grained molecular simulations.

Exploring how agents prevent synchronization in complex systems like the brain.

A new model enhances the Dean-Kawasaki equation for better particle dynamics analysis.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

A new approach to understanding evolving networks through autoregressive modeling.

This study investigates how fractional damping influences Helmholtz oscillator behavior.

Innovative methods simplify analysis of polymer-solvent phase behavior.

A method for predicting responses in interconnected networks using shared underlying structures.

Exploring the adaptive mechanisms of the segmentation clock in embryonic development.

Exploring how modular structures improve artificial neural network efficiency and adaptability.

This article discusses how solvent choice affects block copolymer phase separation.

Research unveils the dynamics of spiking neural networks and pattern formation.

A look at how random movements impact connectivity in systems.