Results 101 to 110 of about 231,641 (257)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Evaluation des impacts environnementaux et des risques associés : Etude de cas sur le gisement de Fer de Bekisopa, Madagascar

Revue Congolaise des Sciences et Technologies
L'étude analyse les impacts environnementaux de l'exploitation du gisement de fer de Bekisopa, en utilisant une méthodologie précise. Elle identifie les impacts directs, en se concentrant sur les sphères physiques, atmosphérique et aquatique, notamment ...
D. L. Rakotonirina M., T. Razakamanana, D. Razafindrazanakolona A. D., E. Ramanampisoa V., Pius T. Mpiana, Jean Paul Koto-Te-Nyiwa Ngbolua, B. Robijaona Rahelivololoniaina   +6 more
doaj   +1 more source

Typologie des risques numériques et représentations des jeunes enseignants

, 2018
Les enseignants néotitulaires ont une perception accrue des risques numériques pour eux-mêmes et encore plus pour leurs élèves. La typologie suivante représente les types de risques numériques qui apparaissent comme les plus préoccupants chez les ...
Camille Capelle
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

Gestion des risques : fondements théoriques et analyse critique

, 2019
La gestion des risques s’inscrit dans un cadre transdisciplinaire. Elle est née dans les sciences exactes puis s’est nourrie de multiples sciences avant de prendre place dans les sciences de gestion.
Saida Amansou, Amansou, Saida
core   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Studies on Counter Electrode Materials in Aqueous Zinc Half‐Cell Configurations

Advanced Science, EarlyView.
Coulombic efficiency is a key metric for zinc reversibility in aqueous zinc‐ion batteries, but its reliability in zinc half‐cells is strongly influenced by poorly understood counter‐electrode materials. By systematically comparing Cu, Ti, stainless steel, and Al to identify reactions associated with current collectors, we find that Ti is the metal ...
Peiming Chen, Ruwei Chen, Xuhuan Xiao, Zhe Cui, Guanjie He   +4 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

Advanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho, Yein Chung, Yoonjeong Choi, Baekdong Cha, Jayeon Song, Nuri Oh, Ala Jo, Thomas S. C. Ng, Hyunho Kim, Hyun‐Kyung Woo, Chang Hyun Kim, Cesar M. Castro, Miles A. Miller, Hakho Lee   +13 more
wiley   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Advanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou, Shu Ding, Zhenyi Zhang, Qiaoling Shangguan, Jie Qiao, Peijie Zhou, Yidong Chen   +6 more
wiley   +1 more source