Results 191 to 200 of about 36,020 (266)

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Efficacy of Liposomal Bupivacaine in Third Molar Extraction: A Systematic Review and Meta-Analysis. [PDF]

Cureus
Aljumaiaan M, Owayed A, Altourah A, Alawadhi YM, Alkhamees A, Farid M, F Alshammari F, Aldulaimi A, Alhusainan B, Alameeri L.   +9 more
europepmc   +1 more source

Religious Moderation Based on Local Wisdom

Asketik
Religious moderation is a perspective, behavior and attitude that always chooses a position in the middle, is always based on justice, and does not take an extreme position in religious practice. four indicators of religious moderation, namely tolerance, national commitment, non-violence, and acceptance of tradition.
openaire   +1 more source

Epitope‐Resolved Digital SERS Profiling of Structurally Dynamic Antigens via a Multi‐Epitope Bispecific Antibody Framework

Advanced Science, EarlyView.
A multi‐epitope digital surface‐enhanced Raman spectroscopy framework enables epitope‐resolved immunoprofiling by integrating bispecific antibody fragments with spectrally encoded nanotags. This approach decouples binding events into independent digital channels, allowing structure‐aware antigen analysis.
Jing Wang, Quan Zhou, Kym Lowry, Christopher B. Howard, Matt Trau   +4 more
wiley   +1 more source

Clinical relevance and governance of scout imaging data: a national survey of UK cross-sectional imaging radiographers. [PDF]

Insights Imaging
Akudjedu TN, Hapi JM, Mensah WS, Pinto DA, Ohene-Botwe B, Kapilya F.   +5 more
europepmc   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Report from the WPA Section on Positive Psychiatry 2015-2025. [PDF]

World Psychiatry
Jeste DV, Reimers K, Ng B, Alessandria H, Alfonso CA, Jimenez A, Peseschkian H, Kumar M, Alarcon RD, Rabheru K.   +9 more
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Factors influencing husbands' participation in antenatal care: A study in Maluku, Indonesia. [PDF]

Health SA
Paunno M, Maspaitella MJ, Tuasela JA, Titarsole C, Talarima B, Lawalata IV, Titarsole NN, Manuhutu N.   +7 more
europepmc   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source