Latent classes of energy and nutrient intake and their associations with oxidative stress in rural older adults: a cross-sectional study. [PDF]
Li M, Kong W, Jiang T, Ning Y.
europepmc +1 more source
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
National Guide on Nutrition Care and Support for People Living With HIV/AIDS\ud [PDF]
Abdallah., Fatma +20 more
core
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Water from Food in Young Chinese Adults: Patterns, Determinants, and Public Health Implications: A Cross-Sectional Study Across the Seven Geographic Regions. [PDF]
Zhou S +8 more
europepmc +1 more source
Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi +3 more
wiley +1 more source
Dietary Vitamin A Intake and Associated Factors Among Lactating Women in Wondo Genet District, Sidama Region, Southern Ethiopia. [PDF]
Bolka A, Sikuare S, Dona A, Philipos A.
europepmc +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
Differential Nutrient Inadequacy Among Vietnamese Youth: Results of a Multi-Location and Multi-Group 24-Hour Recall Survey. [PDF]
Le XTT +5 more
europepmc +1 more source

