Results 81 to 90 of about 28,026 (247)

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

Características dos nascidos vivos, das mães e mortalidade neonatal precoce na Região Metropolitana de São Paulo, Brasil [PDF]

, 2009
Zilda Pereira da Silva, Márcia Furquim de Almeida, Luis Patrício Ortiz, Gizelton Pereira Alencar, Airlane Pereira Alencar, Daniela Schoeps, Elaine Garcia Minuci, Hillegonda Maria Dutilh Novaes   +7 more
openalex   +1 more source

Strong Proton‐Phonon Coupling Drives Fast Ion Transport in Perovskites

Advanced Science, EarlyView.
Experimental and computational phonon analysis of ABO3‐type proton conductor BaSnO3 shows that substitution on the B‐site with yttrium forms an imaginary phonon mode which is instrumental for the function as proton conductor. This overcompensates the adverse proton trapping effect of the yttrium.
Alexey Rulev, Nobumoto Nagasawa, Hongxin Wang, Vladimir Pomjakushin, Martin Kunz, Yoshitaka Yoda, Stephen P. Cramer, Qianli Chen, Artur Braun   +8 more
wiley   +1 more source

Mães no período de situação pandémica por COVID-19: Das vivências às narrativas

Revista de Enfermagem Referência
Enquadramento: A pandemia por COVID-19 trouxe inúmeros desafios às mães de crianças e jovens até aos 18 anos de idade, pela gestão de responsabilidades a que o seu papel social se encontra inerente. Objetivo: Compreender quais são os significados e os
Beatriz Almeida, Inês Ferreira Duarte, Maria José Margarido, Maria Margarida Ferreira, Carolina Miguel Graça Henriques   +4 more
doaj  

Magnetic Anisotropy Modulation via van der Waals Gap Engineering in 2D Ferromagnet Fe4GeTe2

Advanced Science, EarlyView.
This study demonstrates a new route to control magnetic anisotropy in 2D ferromagnets via van der Waals gap engineering. In Fe4GeTe2, an interface‐induced vdW gap expansion is found to anomalously enhance in‐plane magnetic anisotropy while suppressing the spin reorientation transition.
Weiran Xie, Guodong Wei, Tong Zhao, Hangtian Wang, Jing Li, Jihang Gao, Peiyuan Yu, Zili Wang, Fan Gao, Stéphane Mangin, Zhimei Sun, Weisheng Zhao, Jie Zhang, Tianxiao Nie   +13 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

OPTRACE: Optical Imaging–Guided Transplantation and Tracking of Cells in the Mouse Brain

Advanced Science, EarlyView.
OPTRACE establishes an optical, two‐step platform for intracerebral cell therapy. Transparent glass pipettes enable real‐time, image‐guided delivery, while multiplex genetic labeling with two‐photon and bioluminescence readouts supports longitudinal single‐cell tracking and host–graft dynamics.
Jinghui Wang, Honglin Tan, Colleen Russell, Mikolaj Walczak, Dawei Gao, Guanda Qiao, Xiaoxuan Fan, Chengyan Chu, Miroslaw Janowski, Piotr Walczak, Yajie Liang   +10 more
wiley   +1 more source

AI‐Driven Acceleration of Fluorescence Probe Discovery

Advanced Science, EarlyView.
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang, Yanbo Li, Xue Tian, Sen Yang, Ruina Luo, Cenxing Zhou, Yuxuan Liu, Jingying Hu, Sen Feng, Lu Gan, Chongzhao Ran, Kun‐Hsing Yu, Junhan Zhao, Xiao Han, Xuan Zhai, Yuntao Jia, Jiapei Dai, Xiyue Wang, Biyue Zhu   +18 more
wiley   +1 more source