Results 61 to 70 of about 96,836 (254)

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

Advanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang, Dayu Hu, Yaqi Dai, Aoyi Geng, Renxiang Guan, Hao Quan, Brett A. McGregor, Zhihan Wang, Nadeem Khan, Hongsheng Zhang, Jinghua Zhang, Mingyang Xia, Xiaoqiong Gu, Di Che, Junguk Hur, Xiaoyu Cui, Kai Guo   +16 more
wiley   +1 more source

DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer

Advanced Science, EarlyView.
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang, Chengyu Lu, Zhen Wang, Zhijian Cen, Yangshu Zhou, Danyi Li, Qi Xie, Bingbing Li, Shujing Guo, Zhijun Gan, Er‐ran Zhu, Jinbang Li, Aihetaimu Aimaier, Rui Mao, Weihao Qiu, Chenglong Zhao, Ying Tan, Xiaolin Liu, Huiting Ma, Tiansu Geng, Peiyue Wu, Huijun Du, Yu Wang, Yueping Liu, Li Liang   +24 more
wiley   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

Advanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei, Ferran Brosa Planella, Sterling G. Baird, Samuel J. Cooper   +3 more
wiley   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source

School Dropout in the Indonesia-Timor Leste Border: Moderating Role of Social Environment and Learning Motivation

Lectura: Jurnal Pendidikan
This study is motivated by persistently high dropout rate at senior high school level in the border region between Indonesia and Timor-Leste. The school participation rate at this level reaches only 60.42%, indicating that 39.58% of students do not ...
Retno Hernawati, Maria Yuliana Panie, Samrid Neonufa, Al Ihzan Tajuddin   +3 more
doaj   +1 more source

DECREASING SCHOOL DROPOUT RATE AS A FACTOR OF ECONOMIC GROWTH AND SOCIAL EMPOWERMENT. THEORETICAL INSIGHTS [PDF]

Annals of the University of Oradea: Economic Science, 2016
Economic development and social empowerment in Romania are unconcievable in the absence of a modern education system, which needs both economic and financial investments and social, political, cultural measures to increase the inclusion of young people ...
Alina Badulescu, Csaba Csintalan
doaj  

Should Students Engaged to Their Study? (Academic Burnout and School-Engagement among Students)

Guidena, 2017
Inability to deal with lectures efficiently leads students vulnerable to academic burnout. Burnout contributes to the high dropout rate among students, and this phenomenon has occurred on several universities in Indonesia.
Fitri Arlinkasari, Sari Zakiah Akmal, Nur Wahyuni Rauf   +2 more
doaj   +1 more source

Meningeal Lymphatic LTBR Deficiency Links Spinal Cord Injury to Secondary Brain Pathology

Advanced Science, EarlyView.
Spinal cord injury (SCI) induces remote brain alterations beyond the injured spinal cord. This study links dysfunction of meningeal lymphatic vessels (mLVs) to neuroinflammation and neuronal injury after SCI. LTBR‐mediated lymphatic restoration improves meningeal lymphatic integrity and neurological outcomes, highlighting LTBR as a potential regulator ...
Yi Chen, Yu Tang, Chengpeng Hu, Xiaoyan Duan, LingXia Min, Boya Cong, Chao Ma, Mingliang Tan, Ya Luo, Pengfei Wei, Minpeng Xu, Zhou Feng, Jingming Hou   +12 more
wiley   +1 more source