Results 251 to 260 of about 553,591 (343)

Changes in waterfowl movement behavior in response to hunting pressure. [PDF]

Mov Ecol
Beatty KE, Huck NR, Buderman FE.
europepmc   +1 more source

Structural Variation and 3D Genome‐Driven DNA/RNA Methylation Divergence Contributing to Cotton Fiber Domestication

Advanced Science, Volume 13, Issue 9, 13 February 2026.
These findings elucidated the crucial role of the “SVs‐3D genome remodeling‐epigenetic modifications‐gene expression” cascade regulatory network in cotton fiber domestication, offering both a theoretical foundation and genetic resources for molecular design breeding in fiber crops.
Lei Shao, Shangkun Jin, Haojie Jiang, Tianyu Pan, Zesheng Rui, Xiaowen Shi, Ting Zhao, Zhanfeng Si, Xueying Guan, Yan Hu, Tianzhen Zhang, Lei Fang   +11 more
wiley   +1 more source

Meta Reinforcement Learning for Automated Cyber Defence

Applied AI Letters, Volume 7, Issue 1, February 2026.
ABSTRACT Reinforcement learning (RL) solutions have shown considerable promise for automating the defense of networks to cyber attacks. However, a limitation to their real world deployment is the sample efficiency and generalizability of RL agents. This means that even small changes to attack types require a new agent to be trained from scratch.
Andrew Thomas, Nick Tillyer
wiley   +1 more source

A Novel Integrated Path Planning and Mode Decision Algorithm for Wheel-Leg Vehicles in Unstructured Environment. [PDF]

Sensors (Basel)
Wang K, Wu X, Shi S, Xu M, Han Y, Zhu Z, Qin Y.   +6 more
europepmc   +1 more source

Multi‐Agent Reinforcement Learning for Cyber Defence Transferability and Scalability

Applied AI Letters, Volume 7, Issue 1, February 2026.
A method for using mutli‐agent reinforcement learning that allows for zero shot transfer across network setups. Diagrams show the local observation construction, training and agent mapping process. The results for novel 15 and 30 node networks show effective transfer and improved scaling performance. ABSTRACT Reinforcement learning (RL) has shown to be
Andrew Thomas, Matthew Yates, Oliver Osborne   +2 more
wiley   +1 more source

Tracking Consensus for Nonlinear Multi-Agent Systems Under Asynchronous Switching and Undirected Topology. [PDF]

Sensors (Basel)
Hu S, Wang M.
europepmc   +1 more source

On the Modeling of Irreversibility by Relaxator Liouville Dynamics

Annalen der Physik, Volume 538, Issue 2, February 2026.
A general approach to modeling irreversibility starting from microscopic reversibility is presented. A relaxator that breaks reversibility condenses in the Liouville operator of the relevant degrees of freedom. The irreversible relaxator Liouville equation contains memory effects and initial correlations of all degrees of freedom. Stationary states are
János Hajdu, Martin Janßen
wiley   +1 more source

Following the robot's lead: Predicting human and robot movement from EEG in a motor learning HRI task. [PDF]

iScience
Chatterjee T, Guzzo A, Tlaie A, Kaddour A, Papaxanthis C, Gaveau J, Dominey PF.   +6 more
europepmc   +1 more source

CYP2C19 genotype testing for clopidogrel: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI‐PGx)

British Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 329-347, February 2026.
Clopidogrel, an antiplatelet agent, is currently licensed in the United Kingdom for the prevention and treatment of atherothrombotic events in cerebrovascular disease, coronary artery disease and peripheral arterial disease. Clopidogrel requires metabolic activation by the cytochrome P450 enzyme CYP2C19 to be effective.
Cinzia Dello Russo, Iain Frater, Rebecca Kuruvilla, Stefanie Lip, Hannah O'Neill, Kerry Burke, Vicky Chaplin, Alexander S. F. Doney, Salim Elyas, Nicholas Greaves, Sophie Harding, David Hargroves, Judith Hayward, Dyfrig A. Hughes, Tom A. T. Hughes, Sree Kondapally, Patrick Mok, Aaron Peace, Imran Rafi, Simon Ray, Vicky Stinton, Luigi Venetucci, Munir Pirmohamed   +22 more
wiley   +1 more source

Dynamic time slot allocation method for deterministic communication in UAV formation. [PDF]

Sci Rep
Xiao J, Huang J, Chen Q, Xu C, Zhao G.
europepmc   +1 more source