Results 171 to 180 of about 8,356,643 (251)

Efficient Multivariate Time-Series Forecasting via Latency-Constrained Distillation and Dynamic Pruning. [PDF]

Entropy (Basel)
Bai Y, Zhang X, Kong J, Jin X, Su T.
europepmc   +1 more source

A Spatiotemporal Single‐Cell Atlas Uncovers Dysregulated ECM Dynamics and Septal Remodeling Arrest in Human Ventricular Septal Defects

Advanced Science, EarlyView.
Integrating single‐cell and spatial transcriptomics reveals human ventricular septal defect (VSD) as a disease of microenvironmental insufficiency and structural remodeling arrest. Attenuated endothelial‐fibroblast crosstalk, alongside downregulated THBS1/TGF‐β1 and MMP2 signaling networks, impairs the endothelial‐to‐mesenchymal transition (EndoMT) and
Xiaoyuan Zhang, Lun Zhu, Ze Sun, Ruolin Jia, Ziming Wang, Jiayao Zhao, Bohao Liu, Haiqing Xiong, Xiaowei Yu, Yanzhu Yue   +9 more
wiley   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

Advanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao, Guangdi Chu, Wei Jiao, Yuchuan Zhong, Hang Yuan, Chengjun Li, Jinhua Li, Shuxin Wang, Bo Guan, Jianchang Zhao, Lizhi Pan, Haitao Niu, Jianmin Li   +12 more
wiley   +1 more source

Selective Confidence-Guided Projection-Based Encoding for Medical Image Classification. [PDF]

J Imaging
Chen T, Zhou C, Wang Y, Hadjiiski LM, Dong Q.   +4 more
europepmc   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Revising with Humans and AI: Effects of Teacher-, GenAI-, and Blended-Feedback on EFL Writing Outcomes. [PDF]

Behav Sci (Basel)
Han F, Wang Z.
europepmc   +1 more source

Mechanically Regulated Secretion: How Physical Forces Instruct the Secretory Pathway and Remodel the Secretome

Advanced Science, EarlyView.
Mechanical cues, including ECM stiffness, stretch, compression, shear stress, and traction forces, remodel trafficking across the secretory pathway, from the ER and Golgi to endolysosomal compartments and the plasma membrane. The resulting secretome reshapes ECM composition and tissue mechanics, establishing feedback loops that support homeostasis or ...
Domenico Russo, Seetharaman Parashuraman, Maria Luigia Maresca, Angela Francesca Dinoi, Alessia Calcagnì, Riccardo Rizzo   +5 more
wiley   +1 more source

Family-School Partnership as Interpretive Practice: Educator Accounts of Attribution, Communication, and Decision-Making in Arab Education in Israel. [PDF]

Behav Sci (Basel)
Awwad-Tabry S.
europepmc   +1 more source

Foundation Model‐Enabled Pathology‐Informed MRI Model for Preoperative Prediction of Vessels Encapsulating Tumor Clusters in Resectable Hepatocellular Carcinoma: A Multicenter Retrospective Study

Advanced Science, EarlyView.
PIVOT uses pathology‐derived morphologic and vascular representations from postoperative H&E and CD34 whole‐slide images to guide model development, while clinical inference requires only preoperative multiparametric MRI. Across five centers, PIVOT enabled accurate preoperative assessment of vessels encapsulating tumor clusters, stratified patients by ...
Zhehan Shen, Wanmin Liu, Xiaoming Li, Wenjie Zou, Yiman Li, Jie Yuan, Yasen Yimit, Shihang Wang, Linhao Qu, Hui Dong, Wei Chen, Ningyang Jia, Peijun Wang   +12 more
wiley   +1 more source

Distilling First-Principles Accuracy into Compact Machine Learning Potentials for Condensed-Phase Chemistry. [PDF]

J Chem Theory Comput
Chen S, O'Neill N, Shi BX, Kapil V.
europepmc   +1 more source