Results 251 to 260 of about 521,782 (354)

Poria cocos as a Functional Food for Diabetes and Diabetes‐Related Foot Ulcers

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Poria cocos is known as an edible mushroom for food and medicine. Poria cocos and its terpenes and terpenoids serve as novel remedies to treat diabetes and its ulcers. Its mode of actions includes reduction of insulin resistance, starch digestion and inflammation as well as promotion of blood vessel formation. ABSTRACT Poria cocos is a medicinal fungus
Yi‐San Lee, Tien‐Fen Kuo, Greta Yang, Wen‐Chin Yang   +3 more
wiley   +1 more source

Exploring Online Health Information-Seeking Behavior Among Young Adults: Scoping Review.

J Med Internet Res
Stifjell K, Sandanger TM, Wien C.
europepmc   +1 more source

Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation. [PDF]

JMIR AI
Liu M, Okuhara T, Shirabe R, Nishiie Y, Xu Y, Okada H, Kiuchi T.   +6 more
europepmc   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

Byron's bear and dwarf rabbits in the classroom: a review of animals against academic stress. [PDF]

Front Vet Sci
Erren TC, Glenewinkel F, Wild U, Wallraff J, Lewis P.   +4 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Sync/Async parallel search for the efficient design and construction of web search engines

, 2010
Mauricio Marı́n, Verónica Gil-Costa, Carolina Bonacic, Ricardo Baeza‐Yates, Isaac D. Scherson   +4 more
openalex   +2 more sources

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

A Forecasting Model for the Pages Crawled by Search Engine Crawlers at a Web Site

, 2013
Jeeva Jose, P. Sojan Lal
openalex   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source