Results 201 to 210 of about 14,957 (259)

Inference of the 3D pressure field exerted by a single cell from a thin membrane transverse deformation. [PDF]

Eur Phys J E Soft Matter
Bédel Q, Dupré L, Destainville N.
europepmc   +1 more source

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

EcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao, Fengming Zhou, Xinying Li, Ying Deng, Zexing Wu, Siyuan Feng, Yujing Zhu, Dan Zhang, Zhenyu Xiao   +8 more
wiley   +1 more source

Hierarchical Bayesian Regression for experimental psychology: a case study of cognitive control. [PDF]

Front Psychol
Dudey TA, Jackson JJ, Cooper SR, Braver TS.   +3 more
europepmc   +1 more source

Global analysis suggests nitrogen deposition as an underestimated driver of vegetation greening

Ecography, EarlyView.
The local effects of atmospheric nitrogen deposition on plants are well established, yet a global empirical analysis of nitrogen deposition effects on vegetation dynamics is missing. Here, we assess how nitrogen deposition, alongside other global change drivers such as fire, and changes in temperature, precipitation and human land use, is related to ...
Jonas Trepel, Joe Atkinson, Oliver Baines, Matthew Kerr, Elizabeth le Roux, Hannah Rubin, Jens‐Christian Svenning, Robert Buitenwerf   +7 more
wiley   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

Enhancing biomedical signals through genetic algorithm optimized Exponentiated transmuted weibull denoising techniques. [PDF]

Sci Rep
Sayedelahl MA, Farouk RM, Adam AM.
europepmc   +1 more source

Molecular‐Grafting‐Induced Anion Immobilization in Polymer Electrolytes for High‐Transference‐Number and Dendrite‐Free Solid‐State Lithium Batteries

Electron, EarlyView.
By grafting lithium phenylsulfonate onto a PVDF backbone, we create a solid electrolyte that immobilizes anions and enhances Li+ transport. This results in a high Li+ transference number (0.67) and uniform ion flux, enabling stable, dendrite‐free cycling in lithium metal batteries.
Weiqiang Lv, Zongqing Tian, Zhao Wan, Jiaqi Wang, Xiaodong Fang, Rui Liu, Yuhang Dou, Taoda Liu, Tian Ouyang, Boateng Bismark, Ning Chen, Yinghua Niu   +11 more
wiley   +1 more source

Bridging computational and clinical strategies for presurgical identification of epileptogenic networks

Epilepsia Open, EarlyView.
Abstract Objective About one third of epilepsy patients are drug‐resistant. Resective epilepsy surgery remains a key treatment option but depends critically on accurate identification of the seizure onset zone (SOZ), which is still guided mainly by subjective visual inspection of electrophysiological signals.
Tena Dubcek, Debora Ledergerber, Kristina Koenig, Adham Elshahabi, Rafael Polania, Lukas Imbach   +5 more
wiley   +1 more source

Entomopathogenic fungi disrupt the feeding behavior of Euschistus heros in soybean. [PDF]

Sci Rep
de Oliveira GP, Soares FAL, Sousa Almeida AC, de Souza KAG, Costa Gontijo PD, da Silva AR.   +5 more
europepmc   +1 more source

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source