Results 251 to 260 of about 659,867 (370)

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

open access: yesAgriFood: 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   +3 more
wiley   +1 more source

Review of the Quality and Reliability of Online Arabic Content on Diabetic Retinopathy: Infodemiological Study. [PDF]

open access: yesJMIR Infodemiology
Alabdrabulridha AA   +7 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +16 more
wiley   +1 more source

TCRdb 2.0: an updated T-cell receptor sequence database. [PDF]

open access: yesNucleic Acids Res
Yue T   +5 more
europepmc   +1 more source

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

open access: yesAdvanced 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

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)

open access: yesAdvanced 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   +10 more
wiley   +1 more source

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