Results 231 to 240 of about 540,685 (254)

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

open access: yesFEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page   +4 more
wiley   +1 more source

Introduction to Active Matter

Soft Matter, 2020
Moumita Das, Michael Murrell and Christoph Schmidt introduce the Soft Matter collection on active matter.
Moumita Das   +2 more
openaire   +2 more sources

Bacterial active matter

Reports on Progress in Physics, 2022
Abstract Bacteria are among the oldest and most abundant species on Earth. Bacteria successfully colonize diverse habitats and play a significant role in the oxygen, carbon, and nitrogen cycles. They also form human and animal microbiota and may become sources of pathogens and a cause of many infectious diseases. Suspensions of motile
openaire   +2 more sources

What is ‘Active Matter’?

2023
Over the past decades, active matter systems have attracted the attention of scientists from different areas, including physics, engineering, biology, and the human sciences. These systems involve agents that convert some type of energy into directed motion. Examples range from swimming microorganisms to crawling cells to synthetic active colloids.
Kurzthaler, C., Gentile, L., Stone, H.
openaire   +2 more sources

Active matter on Riemannian manifolds

Soft Matter, 2018
Diffusion of active Brownian particles moving on any Riemannian 2-manifold is analytically characterized at both long and short times.
Leonardo Apaza, Mario Sandoval
openaire   +2 more sources

Hydrodynamic theory of active matter

Reports on Progress in Physics, 2018
Abstract We review the general hydrodynamic theory of active soft materials that is motivated in particular by biological matter. We present basic concepts of irreversible thermodynamics of spatially extended multicomponent active systems.
Jülicher, Frank   +2 more
openaire   +3 more sources

Machine learning for active matter

Nature Machine Intelligence, 2020
The availability of large datasets has boosted the application of machine learning in many fields and is now starting to shape active-matter research as well. Machine learning techniques have already been successfully applied to active-matter data—for example, deep neural networks to analyse images and track objects, and recurrent nets and random ...
Frank Cichos   +3 more
openaire   +1 more source

To Lower Cancer Risks, Study Shows That Food Choices Matter

Ca-A Cancer Journal for Clinicians, 2023
Mike Fillon
exaly  

Symmetry, Thermodynamics, and Topology in Active Matter

Physical Review X, 2022
Sriram Ramaswamy   +2 more
exaly  

Home - About - Disclaimer - Privacy