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Neuroactive Phytoconstituents of Glycyrrhiza glabra for the Treatment of Alzheimer's Disease.
Curr Top Med Chem
December 2024
Division of Pharmacology, Institute of Pharmaceutical Research, GLA University, NH#19 Delhi Mathura Highway, Chaumuhan, Mathura-(281406), UP, India.
Alzheimer's Disease (AD), a prevalent neurodegenerative disorder, poses a significant global health challenge with complicated pathogenesis. Pathological characteristics of AD include increasing loss of cholinergic neurons, oxidative stress, mitochondrial dysfunction, and amyloid beta accumulation. Due to the limited availability of effective therapeutic options with only symptomatic relief and their severe adverse effects, there is a significant need to search and explore new agents for the management of AD.
View Article and Find Full Text PDFEstablishing the Research Priorities of ADHD Professionals: An International Delphi Study.
J Atten Disord
December 2024
Deakin University, Melbourne, VIC, Australia.
Objectives: To determine ADHD research priorities from the perspective of ADHD professionals internationally.
Method: A two-stage modified Delphi design was used. In Stage 1 (qualitative), participants listed research questions relating to ADHD that they perceived to be most important ( = 132).
Background: PT (Patellar Tendinopathy) is a degenerative disorder of the tendons induced via extended overstretching or overuse of the tendons instead than usual inflammation. In the past, humans have centered on a number of strategies of treating PT such as ultrasound and surgical treatment. However, they did no longer genuinely consider the effectiveness of eccentric, isometric, or HSR (Heavy Slow Resistance Training) education for PT; They did now not really outline the stage of PT to beautify the uniformity of the find out about participants; They did no longer immediately examine the affects of isometric, eccentric, and HSR training.
View Article and Find Full Text PDFA step towards quantifying, modelling and exploring uncertainty in biomedical knowledge graphs.
Comput Biol Med
January 2025
International University of Rabat, TICLab, Sala el Jadida 11103, Morocco; University of Leeds, Faculty of Engineering, University of Leeds, Leeds LS2 9JT, UK. Electronic address:
Objective: This study aims at automatically quantifying and modelling the uncertainty of facts in biomedical knowledge graphs (BKGs) based on their textual supporting evidence using deep learning techniques.
Materials And Methods: A sentence transformer is employed to extract deep features of sentences used to classify sentence factuality using a naive Bayes classifier. For each fact and its supporting evidence in a source KG, the deep feature extractor and the classifier are used to quantify the factuality of each sentence which are then transformed to numerical values in [0,1] before being averaged to get the confidence score of the fact.
Measuring diversity in Hollywood through the large-scale computational analysis of film.
Proc Natl Acad Sci U S A
November 2024
School of Information, University of California, Berkeley, CA 94704.
Movies are a massively popular and influential form of media, but their computational study at scale has largely been off-limits to researchers in the United States due to the Digital Millennium Copyright Act. In this work, we illustrate use of a new regulatory framework to enable computational research on film that permits circumvention of technological protection measures on digital video discs (DVDs). We use this exemption to legally digitize a collection of 2,307 films representing the top 50 movies by U.
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