Latest Articles for Mathematical Modeling

Exploring how self-similarity aids in studying population dynamics and genetic variation.

A study on how compressible fluids and elastic structures interact in various fields.

Research examines activity patterns in circular QIF neuron networks.

A new method estimates parameters of neuron activity using real data.

Explore the Navier-Stokes equations and their role in fluid behavior.

Two innovative calibration methods enhance cardiovascular model accuracy for patient care.

Combining PDEs and ODEs for better disease spread predictions.

A model to reduce beam damage in scanning transmission electron microscopy.

This article examines moduli stabilization in string theory through the Landau-Ginzburg model.

Explore the significance of stability in Runge-Kutta methods for solving differential equations.

Explore how degree sequences affect random graph characteristics.

A look into how agents interact and make decisions over time.

Study reveals the impact of higher-order interactions on synchronization in multilayer networks.

A look at causal effects in exchangeable data settings and their implications.

Examining fluid dynamics to reveal insights about black holes through analogue systems.

This article examines feedback control methods for efficient tank-liquid management.

A look into learning algorithms for analyzing signal flow graphs and complex systems.

A fresh method to assess ecological models and their relevance to real-world data.

A systematic approach to controlling diseases while balancing healthcare and economic impacts.

This article discusses how analytical methods enhance system identification techniques.

Exploring causal spaces and their implications for understanding systems and interactions.

A new mathematical model examines the effects of climate change on extreme weather patterns.

This study analyzes traveling waves in two-dimensional suspension bridge models to enhance design safety.

This study uses models to analyze cell movement in experiments and predict behavior.

Wendland models provide realistic representations of galaxies and star clusters.

Introducing a method for robots to navigate safely using control density functions.

A method to mathematically represent plane graphs for simulations.

Exploring the effects of noise and transcriptional bursting on gene networks.

New methods help compare evolutionary trees with different species sets.

An overview of perturbative and non-perturbative renormalization in physics.

Exploring methods for equitable gift distribution among friends.

Examining how tumor surroundings affect cancer treatment responses.

A study of power series solutions and their applications across various fields.

This article discusses how shear flow affects diffusion and reaction processes.

Exploring how dendrites influence neural communication in brain models.

A detailed look at the performance of the Least Squares Estimator under constraints.

Learn how MMDPs improve decision-making in uncertain environments.

This study investigates how two components interact to reach balance over time.

A new approach to analyzing fluid dynamics using MRI data.

Explore how Markov Decision Processes aid in managing uncertain outcomes with risk considerations.