Latest Articles for Biology

Discover the intriguing characteristics and significance of Kinetoplast DNA.

Explore how elastic curves evolve while maintaining area and energy efficiency.

Research improves understanding of mouse genetics and fills gaps in genome.

A new method enhances state variable identification in dynamical systems using physical knowledge.

Research reveals the impact of fluctuations on biological systems like p53.

Research delves into droplet behavior in dynamic environments, revealing complex interactions.

Learn about the hypergeometric distribution and its applications in statistics.

Exploring the impact of single-cell analysis on biological research and methods.

This article explores the behavior of graphs during edge retention randomness.

Learn how solvents influence the behavior of different substances.

A look at how past events shape future occurrences in random processes.

Deep learning models like U-Net are reshaping cell segmentation in microscopy images.

A new method to analyze changing shapes of tree-like structures over time.

ProteinGPT simplifies protein study through an interactive chat system.

New methods for designing hyperuniform materials based on biological cell arrangements.

Self-organization shapes systems, enhancing efficiency through energy flow and interactions.

Researchers analyze advanced models to predict biological outcomes using gene data.

Examining the role of connection patterns in neural networks and their impact on information encoding.

This article examines how asymmetrical confinement affects Brownian particle movement.

New study reveals how particle rotation affects behavior in microfluidic channels.

Study of rod-like particles reveals important phase behavior under varying conditions.

A vast dataset aimed at improving fungi classification and research.

Study examines how inverted flags interact with flowing fluids and their energy capture potential.

A look at how DEB theory explains metabolism in living organisms.

A look into semilinear parabolic problems and their implications in various fields.

An overview of free boundary problems and their significance in various fields.

An overview of Brownian motion and its significance in various fields.

Study of how materials change shape informs biological processes.

A look into the importance and techniques for analyzing directional data.

ShapeMamba-EM improves segmentation of complex neural images.

Exploring the connections between stuck links and RNA folding using algebraic structures.

New techniques improve value estimation from Markov chain data.

A method for stable and reliable identification of communities in networks.

Scientists use DNA to reveal the history of dragonflies.

Exploring numerical methods for uncertain systems with stochastic differential equations.

A look at how the Kinetic Ising model studies materials in different conditions.

New methods enhance the search for protein similarities at the domain level.

Addressing stripe artifacts in light-sheet fluorescence microscopy methods.

Researchers utilize machine learning to enhance protein stability predictions.

Active materials can change behavior through communication, mimicking life-like responses.