Results 211 to 220 of about 9,418,911 (310)
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Extending the Information Systems Success Model to Explain E-Health Adoption in Saudi Arabia. [PDF]
Alhaidan H, Al Halbusi H, Al-Mamary YH.
europepmc +1 more source
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
Co-creation as a knowledge mobilization process in digital health regulation in East Africa: The making of the DigiReg compass. [PDF]
Sekalala S +6 more
europepmc +1 more source
A systematic study on the performance of N,P‐doped NiFe2O4@CNH bi‐functional hybrid electrocatalysts for rechargeable zinc‐air batteries is presented. The importance of P, N‐doping and the intimate tethering of nickel‐ferrite nanocubes on the carbon nano‐horn (CNH) surface which are well dispersed on the surface of N,P doped CNHs.
Sudheer Kumar Yadav +4 more
wiley +1 more source
Co-Designing Physical Activity Programmes: A Participatory Research Study With Culturally Diverse Women and Local Government. [PDF]
Casey M, Porter JE, Eime R.
europepmc +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Study on the double-edged sword effect of gen AI on college student entrepreneurial performance: evidence from the CICSIC. [PDF]
Yu S, Xu Y, Han X.
europepmc +1 more source
Polystyrene nanoplastics exacerbate high‐fat diet‐induced metabolic dysfunction in an age‐dependent manner. Juvenile mice exhibit greater susceptibility, characterized by circadian disruption, impaired mitochondrial function, reduced energy metabolism, and enhanced hepatic lipid accumulation.
Peihao Xu +10 more
wiley +1 more source

