Results 181 to 190 of about 4,373,230 (380)

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

Food handlers' knowledge, attitudes and self-reported practices regarding safe food handling in charitable food assistance programmes in the eThekwini District, South Africa: cross-sectional study. [PDF]

BMJ Open, 2023
Makhunga SE, Macherera M, Hlongwana K.
europepmc   +1 more source

Improvement in Postharvest Handling System of Horticultural Food Crops

, 2000
Reinosuke Nakamura
openalex   +2 more sources

Food and nutrition security: challenges of post-harvest handling in Kenya [PDF]

, 2015
Judith Kimiywe
openalex   +1 more source

Photoresponsive Gas‐Permeable Membranes: Fundamentals, Innovations, and Prospects

Advanced Functional Materials, EarlyView.
Photoresponsive gas‐permeable membranes can be potentially used for smart packing, carbon capture, hydrogen purification, and optical gas valves due to their remote and non‐contact activation, precise spatial and temporal control, and reversible switching capabilities.
Zhuan Wang, Qilin Li, Bart van der Bruggen, Zhen Jiang, David M. Cahill, Jingliang Li, Shuaifei Zhao   +6 more
wiley   +1 more source

Food Handling Concerns and Practices at Home during the COVID-19 Pandemic by Food Security Status. [PDF]

J Food Prot, 2022
Lin AW, Granata FA, Trippel AK, Tello L, Stump TK, Wong M, Carnethon MR, Kershaw KN, Makelarski J, Weller D.   +9 more
europepmc   +1 more source

Examining the predictive utility of an extended theory of planned behaviour model in the context of specific individual safe food-handling [PDF]

, 2015
Barbara Mullan, Vanessa Allom, Kirby Sainsbury, Lauren A. Monds   +3 more
openalex   +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

PFP Commercial Grade Food Pack Cans for Plutonium Handling and Storage Critical Characteristics

, 2000
E.P. BONADIE
openalex   +2 more sources

Controlled Release of Human Dental Pulp Stem Cell‐Derived Exosomes from Hydrogels Attenuates Temporomandibular Joint Osteoarthritis

Advanced Healthcare Materials, EarlyView.
Exosomes can reduce tissue damage in temporomandibular joint osteoarthritis (TMJOA), but rapid clearance limits their efficacy. This study encapsulates exosomes in hyaluronic acid hydrogels for controlled release. In a rat model, hydrogel‐encapsulated exosomes outperform free exosomes in preserving bone integrity and reducing tissue destruction ...
Victor Diez‐Guardia, Yajing Tian, Yunzhe Guo, Jiaying Li, Shengjie Cui, Cécile A. Dreiss, Eileen Gentleman, Xuedong Wang   +7 more
wiley   +1 more source