Results 211 to 220 of about 2,047,533 (295)

Guidelines for High‐Throughput Screening for Natural Products With Anti‐Aging Activity Based on Drosophila Intestinal Homeostasis

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
ABSTRACT Aging represents a critical risk factor for chronic diseases, driving an urgent demand for interventions promoting healthy longevity. This study establishes standardized guidelines for high‐throughput screening (HTS) of anti‐aging natural products using Drosophila melanogaster, leveraging its intestinal homeostasis as a biomarker.
Xiao Sheng, Lei Zhang
wiley   +1 more source

Enhancing Elderly Health Through Physical Activities: Insights From a Global Bibliometric Review, 1900–2023

open access: yesAGING MEDICINE, EarlyView.
Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang   +3 more
wiley   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris   +2 more
wiley   +1 more source

Rebalancing psychology in China. [PDF]

open access: yesCommun Psychol
Tao X, Pu Y, Kong XZ.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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