Results 141 to 150 of about 1,662,238 (307)
Introduction Hospital disaster preparedness is crucial for maintaining healthcare delivery during emergencies, yet significant gaps persist in developing nations.
Kumar Guru Mishra +4 more
doaj +1 more source
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
This paper reports on a study (Muloongo, 2010) that investigated how participatory radio programming might be used to inform and extend museum-based community engagement in environment and sustainability concerns. Preliminary research on museum education
Henry A. Muloongo
doaj
Selected approaches of variables weighting in frame of composite indicator analysis [PDF]
Composite indicators are useful as tool for complex evaluation and aggregation of different variables of regional development. Variables which are aggregated in a composite indicator have first to be weighted.
Hlavsa, Tomas
core +1 more source
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song +3 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Expert Patient Programme Catalonia: a person-centered community perspective
Paloma Amil Bujan +5 more
doaj +3 more sources
Robust and Reversible Thermofluorescence in Solvent‐Free Thermoplastic Polyurethane Composites
Thermofluorescent polymer composites with high‐contrast optical outputs are prepared by solvent‐free blending of indenoquinacridone dye into a thermoplastic polyurethane matrix. The temperature‐dependent fluorescence originates from aggregation–dissociation of the dye molecules, regulated by competing hydrogen bonds from the polymer matrix.
Guanghua Yu +8 more
wiley +1 more source
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source

