Results 81 to 90 of about 63,859 (268)

Contacting dropouts from type 2 diabetes care in public primary health care: description of the patient population

Scandinavian Journal of Primary Health Care, 2016
Objective: To characterize dropouts from type-2 diabetes (T2D) care in communal primary health care. Design: An observational study. Setting: In a Finnish city, patients with T2D who had not contacted the public primary health care system during the past
Timo Kauppila, Merja K. Laine, Mikko Honkasalo, Marko Raina, Johan G. Eriksson   +4 more
doaj   +1 more source

Vocational qualification as safety-net? Education-to-work transitions of higher education dropouts in Germany

Empirical Research in Vocational Education and Training, 2017
Background In Germany, almost 15 per cent of all first-year students leave higher education without obtaining a degree. The German post-secondary educational system is tracked however, and many dropouts enter the labour market with pre-tertiary ...
Mirte Scholten, Nicole Tieben
doaj   +1 more source

Bias‐Tunable Two‐Terminal Organic Photodetector for Intelligent Imaging

Advanced Science, EarlyView.
A vertically stacked two‐terminal photodetector with a symmetric donor–acceptor–donor trilayer active exhibits reconfigurable photoresponse with bias‐tunable magnitude and polarity, together with sub‐millisecond response speed and a wide tunable output window.
Sangin Hahn, Sanghoon Park, Seunghyup Yoo   +2 more
wiley   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +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

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

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Dropout2: The dropout on school data dropout

The paper underscores the complexity of school dropout as a research topic, emphasising the challenges of comparison of data from various sources, crucial for policy and practical interventions. Despite extensive research, there is no universally accepted definition of school dropout, and national and international documents often conflate early school
Beri, Arianna, Agrati, Laura Sara, Lazzari, Marco   +2 more
openaire   +2 more sources

CREAT: A CRISPR‐Based Genome Trimming Strategy for Systematic Identification of Dispensable Regions and Rapid Genome Reduction

Advanced Science, EarlyView.
Current genome‐reduction methods work in a trial‐and‐error fashion, constituting a long‐standing bottleneck in the research. We developed CREAT (CRISPR‐based genome trimming with a multi‐homology‐arm template), a CRISPR‐based genetic approach that enables systematically classifying essential versus non‐essential genomic regions and subsequently ...
Guanhua Yuan, Zhe Gao, Yingxuan Qi, Yang Zhang, Xuhui Tian, Pengpeng Zhao, Xu Feng, Qunxin She   +7 more
wiley   +1 more source

An intervention model for developing self-directed learning skills in NEET-youth: a literature review

Frontiers in Education
In response to the growing need for self-directed learning (SDL) skills in a rapidly changing world, research was conducted to map interventions that support SDL skills, aiming to find a model for supporting SDL skills in NEET-youth.
Kerli Kõiv, Katrin Saks, Ilke Evin Gencel, Kaan M. Güven, Abraham Azzopardi, Valentina Todoroska, Elena Petkovska   +6 more
doaj   +1 more source