Results 151 to 160 of about 1,918,026 (260)

Differences in the Structure and Function of the Gut Microbiota of the Earthworm (<i>Amynthas aspergillum</i>) Under Different Habitat Conditions. [PDF]

Life (Basel)
Li X, Lin B, Peng L, Qin Y, Ban R.
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Ecological and life history traits predict urban tolerance in North American birds. [PDF]

R Soc Open Sci
Fanelli RE, Martin PR, Bonier F.
europepmc   +1 more source

Industry wide genetic analysis of tree breeding data using TREEPLAN®

, 2016
TREEPLAN is an advanced analytical tool providing accurate and precise predictions of genetic values to operational tree breeders. This project aimed to exploit TREEPLAN's analytical power for the benefit of all sections of the forest growing industry ...
McRae, T A, Li, Li, Kerr, R J, Tier, Bruce, Costa e Silva, J, Dutkowski, G W   +5 more
core  

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Urban Habitat Mosaics Structure Gene Flow but Preserve Genetic Diversity in an Invasive Termite. [PDF]

Ecol Evol
Gheyle E, Duquesne E, Roisin Y, Fournier D.   +3 more
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Chromosomal screening of candidate genes associated with F2 chicken birth weight using the random forest algorithm. [PDF]

Poult Sci
Khazali D, Masoudi AA, Torshizi RV, Maghsoudi A, Saadat HB.   +4 more
europepmc   +1 more source

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease‐Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan‐Cytology Validation

Advanced Science, EarlyView.
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong, Fan Jiang, Ye Xie, Xiaowei Huang, Runnan Shen, Yun Wang, Mengyi Zhu, Haoxuan Wang, Hongkun Yang, Yanxiao Nie, Zhen Lin, Rui Chen, Nengtai Ouyang, Tianxin Lin, Shaoxu Wu   +14 more
wiley   +1 more source

Dynamics of Antibiotic Resistance Gene Profiles in Captive Forest Musk Deer (<i>Moschus berezovskii</i>) Along a Breeding Duration Gradient. [PDF]

Biology (Basel)
Suo L, Bian K, Tang J, Li F, Chang S, Yang T, Zhao X, Dong W, Sun K, Yang C.   +9 more
europepmc   +1 more source