Results 241 to 250 of about 791,529 (299)
Challenges and Solutions for Collaboration Among a Nonprofit Organization, Primary Care, Private Healthcare, and the Community Sector: An Instrumental Case Study. [PDF]
Hudon C +6 more
europepmc +1 more source
Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török +6 more
wiley +1 more source
Strengthening the Structure of Public Health: Suggesting the Incorporation of 'People' Component as the 'Seventh Block'. [PDF]
Francis DL, Reddy SSP.
europepmc +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Airborne PCB Concentrations in Portland, Oregon: Emissions and Contributions from the Portland Harbor Superfund Site. [PDF]
Slade AR +5 more
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Effect of child-friendly social environment on the improvement of children's life satisfaction: based on scenario simulation trial. [PDF]
Chu M, Zeng B, Lai YT, Chiang YC.
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source

