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Annotation with widely used, well-structured ontologies, combined with the use of ontology-aware software tools, ensures data and analyses are Findable, Accessible, Interoperable and Reusable (FAIR). Standardized terms with synonyms support lexical search. Ontology structure supports biologically meaningful grouping of annotations (typically by location and type).
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Can J Psychiatry
January 2025
CHU Clermont-Ferrand, Psychiatrie B, Clermont-Ferrand F-63003, France.
Background: Although self-esteem is a relatively new concept, first developed in the field of social psychology, it has gained increasing importance in psychiatry, especially as a diagnostic criterion. However, it is poorly evaluated in clinical practice. The lack of an instrument allowing an easy global assessment may be the reason for this.
View Article and Find Full Text PDFEnhancing Construction Safety Through Workplace Surveillance and Systematic Follow-Ups.
Am J Ind Med
January 2025
EHS Department, M&M SBG, L&T Construction (Larsen &Toubro), Kolkata, West Bengal, India.
Background: Globally, construction jobs are associated with serious occupational safety and health (OSH) risks. In large construction projects, managing OSH risks is challenging due to a multitude of factors, and it is important to have sound management strategies and innovative solutions to tackle these ever-evolving OSH risks. Safety surveillance plays a pivotal role in accident prevention in the construction industry.
View Article and Find Full Text PDFMachine learning-based estimation of crude oil-nitrogen interfacial tension.
Sci Rep
January 2025
Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran.
Accurate estimation of interfacial tension (IFT) between nitrogen and crude oil during nitrogen-based gas injection into oil reservoirs is imperative. The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil - nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs.
View Article and Find Full Text PDFLong-term correction of hemophilia A via integration of a functionally enhanced FVIII gene into the AAVS1 locus by nickase in patient-derived iPSCs.
Exp Mol Med
January 2025
Department of Physiology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
Hemophilia A (HA) is caused by mutations in coagulation factor VIII (FVIII). Genome editing in conjunction with patient-derived induced pluripotent stem cells (iPSCs) is a promising cell therapy strategy, as it replaces dysfunctional proteins resulting from genetic mutations with normal proteins. However, the low expression level and short half-life of FVIII still remain significant limiting factors in the efficacy of these approaches in HA.
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