Results 61 to 70 of about 35,277 (187)
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 +2 more
wiley +1 more source
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva +28 more
wiley +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Strong Proton‐Phonon Coupling Drives Fast Ion Transport in Perovskites
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 +8 more
wiley +1 more source
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu +34 more
wiley +1 more source
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou +5 more
wiley +1 more source
OPTRACE: Optical Imaging–Guided Transplantation and Tracking of Cells in the Mouse Brain
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 +10 more
wiley +1 more source
This study presents a novel “in vivo–in vitro” therapeutic strategy for spinal cord injury by leveraging magnetically responsive piezoelectric nanomaterials. These nanomaterials enable targeted delivery of localized electrical stimulation at the injury site through noninvasive external magnetic actuation, thereby promoting axonal regeneration and ...
Zhihang Xiao +9 more
wiley +1 more source
Sub‐1 nm inorganic cluster chain with cation vacancies optimize PEO electrolytes by eliminating Li+ migration barriers and constructing 3D ion transport networks, while in situ c‐AFM reveals dynamic transport mechanisms, enabling high‐performance all‐solid‐state batteries. Abstract Flexible composite polymer electrolytes (CPEs) are promising candidates
Shanshan Song +8 more
wiley +1 more source
Droplet Digital CRISPR for Nucleic Acid Detection
This review outlines recent advances in droplet digital CRISPR technology for nucleic acid detection, combining CRISPR specificity with droplet digital‐based absolute quantification. It summarizes core principles, amplification‐assisted and amplification‐free strategies, and representative DNA and RNA biomarker applications.
Yang Zhang +4 more
wiley +1 more source

