Results 181 to 190 of about 1,757,316 (304)

Coalition Building and Food Insecurity: How an Equity and Justice Framework Guided a Viable Food Assistance Network. [PDF]

Int J Environ Res Public Health, 2022
Santilli A, Lin-Schweitzer A, Morales SI, Werlin S, Hart K, Cramer J, Martinez JA, O'Connor Duffany K.   +7 more
europepmc   +1 more source

EFFECTS OF FOOD ASSISTANCE AND NUTRITION PROGRAMS ON NUTRITION AND HEALTH: VOLUME 4, EXECUTIVE SUMMARY OF THE LITERATURE REVIEW [PDF]

This report provides a summary of a comprehensive review and synthesis of published research on the impact of USDA's domestic food and nutrition assistance programs on participants' nutrition and health outcomes.
Fox, Mary Kay, Hamilton, William L., Lin, Biing-Hwan   +2 more
core   +1 more source

Charitable Food Assistance: What are Food Bank Users Receiving? [PDF]

Canadian Journal of Public Health, 1999
A C, Teron, V S, Tarasuk
openaire   +2 more sources

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Food handlers' insights into the barriers and facilitators to safe food handling in charitable food assistance programs in eThekwini District, KwaZulu-Natal, South Africa. [PDF]

BMC Public Health
Makhunga S, Hlongwana K.
europepmc   +1 more source

The acorn squash problem: a digestible conceptualisation of barriers to emergency food assistance. [PDF]

Public Health Nutr, 2022
Jones JC, Christaldi J, Cuy Castellanos D.   +2 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Transgender and gender diverse adults are under-enrolled in food assistance programmes and report negative experiences when accessing benefits: an analysis of the US Transgender Survey. [PDF]

Public Health Nutr
Linsenmeyer W, Chrusciel T, Schier H, Hollinger R, Sherman A.   +4 more
europepmc   +1 more source

Food Assistance Use Among Food Bank Clients Affected by Type 2 Diabetes. [PDF]

J Nutr Educ Behav, 2022
Short E, Sharma J, Thompson DI, Taren D, Gonzalez R, Hingle M.   +5 more
europepmc   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source