Results 191 to 200 of about 1,101,657 (315)

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

Analysis of the minutes of rondas campesinas using text mining techniques. [PDF]

Front Sociol
Quiñones Huatangari L, Díaz Cabrera R, Alvarado Carrasco N, Fernández Rosillo F, Maicelo Guevara JL, Cruz Caro O, Salazar Serván S.   +6 more
europepmc   +1 more source

Metabolic Signatures for Liver Cancer Diagnosis and Mechanistic Insights: A Large‐Scale, Multicenter Study

Advanced Science, EarlyView.
A large‐scale multicenter serum metabolomics study (13 centers, n = 2,149) identified a 9‐metabolite + AFP diagnostic signature for liver cancer (AUC = 0.93). Among the signature, nicotinamide (NAM) was validated as an oncometabolite: NAM enhances NAD+ synthesis, activating SIRT1 to deacetylate and stabilize HIF1α, thereby driving glycolysis, MAPK ...
Yongjie Xu, Jiachen Wang, Chunmeng Ding, Changfa Xia, Yunyong Liu, Yuanjie Zheng, Sheng Chang, Shaokai Zhang, Yutong He, Ruifang Sun, Yunfeng Xi, Yan Liu, Kun Qian, Wanqing Chen   +13 more
wiley   +1 more source

Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]

Sensors (Basel)
Mariadhason JS, Joseph ER, Srinivasan P, Francis RD.   +3 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

Analysis of actors' attitudes towards the application of the legal institutional framework for sand mining in two local government areas of Ghana. [PDF]

PLoS One
Asare KY, Mensah JV, Agyenim JB, Tenkorang EY.   +3 more
europepmc   +1 more source

Perovskite CsPbI3 Nanocrystal and Nanowire Incorporated G‐C3N4 Nanosheets for CO2 Reduction and NO Removal

Advanced Science, EarlyView.
CsPbI3 nanostructures integrated with g‐C3N4 formed S‐scheme heterojunctions enabling efficient photocatalytic CO2 reduction and NO abatement. The g‐C3N4/CsPbI3 nanowires achieved a CO production rate of 4.6 µmol g−1 h−1, while nanocrystal composites delivered 69.5% NO removal with only 5.0% NO2 selectivity, driven by highly energetic charge carriers ...
Xiao Zhang, San Ping Jiang
wiley   +1 more source

scH16S‐Seq Maps Klebsiella pneumoniae‐Associated Myeloid States and Reveals a CD38–NAD Immunometabolic Axis That Impairs Lysosomal Acidification in Sepsis

Advanced Science, EarlyView.
Single‐cell host–bacterial 16S co‐sequencing (scH16S‐seq) integrates cell‐associated bacterial 16S‐derived signals with host transcriptomes to resolve bacterial signal‐enriched myeloid states in Klebsiella pneumoniae sepsis. Complementary pharmacological and genetic analyses define a CD38–NAD immunometabolic axis connecting mitochondrial bioenergetic ...
Yangguang Li, Yilong Yu, Fang Qin, Shenxing Li, Xuanheng Li, Peizhao Liu, Juanhan Liu, Haiqing Liu, Songqi Jing, Jianghao Zou, Sicheng Li, Jiayang Li, Tao Zheng, Yun Zhao, Jianan Ren, Xiuwen Wu   +15 more
wiley   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

How to develop care pathways: a practical overview of methodological approaches. [PDF]

BMJ Health Care Inform
Mussert CMA, Reitsma SH, Cnossen MH, Van Hoorn ES.   +3 more
europepmc   +1 more source