Results 221 to 230 of about 12,845,141 (320)

Similar locomotor patterns across Quarter Horse disciplines inform lameness assessment

Equine Veterinary Journal, EarlyView.
Abstract Background Lineage‐based selection is central to the Quarter Horse industry and is often justified by the assumption that morphology determines locomotor function. However, objective evidence linking static conformation to discipline‐specific locomotor behaviour under standardised conditions remains limited.
Renata Farinelli de Siqueira, Lavínia Andressa Brito, Isabela Marques de Figueiredo, Ana Clara Rocha dos Santos, Larissa Santos dos Anjos   +4 more
wiley   +1 more source

Continuity in geometric intuition between humans and monkeys. [PDF]

Proc Natl Acad Sci U S A
Li J, Boni I, Sandwick LR, Sanford EM, DeLong CM, Wenjie L, Henderson MM, Piantadosi ST, Cantlon JF.   +8 more
europepmc   +1 more source

Recent progress and challenges in top‐emitting quantum dot light‐emitting diodes

FlexMat, EarlyView.
This review summarizes recent advances in top‐emitting quantum‐dot light‐emitting diodes (TE‐QLEDs), including device architectures, microcavity engineering, angular‐emission management, and operational stability, highlighting optical–electrical–thermal co‐optimization as the key pathway toward reliable, high‐performance TE‐QLEDs. Abstract Top‐emitting
Chengyi Chen, Yuqi Liang, Mian Wei, Qiulei Xu, Huimin Zhang, Zhenghui Wu, Huaibin Shen   +6 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source

Geometry based gene-expression signatures detect cancer treatment responders in clinical trials. [PDF]

BMC Cancer
Chachólski W, Ramanujam R.
europepmc   +1 more source

Simultaneous 3/4‐power scaling of leaf mass and 2/3‐power scaling of leaf area with stem mass in plants

Grassland Research, EarlyView.
Abstract Background Plant allometry theory developed in the last century focused on 2/3‐power scaling, determined by light interception considerations. More recently, 3/4‐power scaling based on the properties of vascular distribution networks has been proposed.
Cory Matthew, Hans Pretzsch, Rüdiger Grote   +2 more
wiley   +1 more source

What topological and geometric structure do biological foundation models learn? Evidence from 141 hypotheses. [PDF]

PLoS One
Kendiukhov I.
europepmc   +1 more source

Two‐Dimensional Heterostructures: From Controlled Synthesis to Post‐Moore Device Applications

Information &Functional Materials, EarlyView.
This schematic summarizes four typical configurations of two‐dimensional (2D) heterostructures. It also demonstrates their core applications in high‐performance logic transistors, neuromorphic computing, ultra‐broadband photodetection, and multifunctional integrated devices, visually illustrating the diverse development prospects of 2D heterostructures
Jianing Xie, Zijian Niu, Baihui Zhang, Zhengwei Zhang   +3 more
wiley   +1 more source

Geometric and quantum kernel methods for predicting skeletal muscle outcomes in experimental chronic obstructive pulmonary disease. [PDF]

Sci Rep
Alavi A, Khalili H, Chan SMH, Kouchmeshki F, Usman M, Vlahos R.   +5 more
europepmc   +1 more source

Addressing the Abundance Paradox Through Topology‐Guided Graph Learning for Cross‐Cohort Classification of Type 2 Diabetes

iMetaMed, EarlyView.
By shifting from highly variable taxonomic abundance to conserved ecological network topologies, our Dual‐Stream Graph Attention Network (DS‐GAT‐CP) resolves the “abundance paradox,” enabling highly accurate and cross‐regionally robust non‐invasive screening for Type 2 Diabetes. ABSTRACT Gut microbiome‐based machine learning models for Type 2 Diabetes (
Changjian Wu, Ping Wei, Xuhui Wang, Hua Hua, Junli Li   +4 more
wiley   +1 more source