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Obstet Gynecol
January 2025
Department of Obstetrics and Gynecology and the Division of Maternal Fetal Medicine, University of Kansas School of Medicine, Kansas City, Kansas.
Obesity is a chronic condition that causes significant morbidity and mortality in people in the United States and around the world. Traditional means of weight loss include diet, exercise, behavioral modifications, and surgery. New weight loss medications, glucagon-like peptide-1 receptor agonists, are revolutionizing the management of weight loss but have implications for fertility and pregnancy.
View Article and Find Full Text PDFJ Particip Med
January 2025
School of Medicine, University of South Carolina, Greenville, SC, United States.
Background: It remains unclear if there is agreement between physicians and patients on the definition of treatment success following orthopedic treatment. Clinical progress notes are generated during each health care encounter and include information on current disease symptoms, rehabilitation progress, and treatment outcomes.
Objective: This study aims to assess if physicians and patients agree on whether patient outcomes captured in clinical progress notes reflect a successful treatment outcome following orthopedic care.
J Am Chem Soc
January 2025
Radiation Laboratory, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Modulation of singlet and triplet energy transfer from excited semiconductor nanocrystals to attached dye molecules remains an important criterion for the design of light-harvesting assemblies. Whereas one can consider the selection of donor and acceptor with favorable energetics, spectral overlap, and kinetics of energy transfer as a means to direct the singlet and triplet energy transfer pathways, it is not obvious how to control the singlet and triplet characteristics of the donor semiconductor nanocrystal itself. By doping CsPb(ClBr) nanocrystals with Mn, we have now succeeded in increasing the triplet characteristics of semiconductor nanocrystals.
View Article and Find Full Text PDFPLoS One
January 2025
Renewable Energy Science and Engineering Department, Faculty of Postgraduate Studies for Advanced Sciences (PSAS), Beni-Suef University, Beni-Suef, Egypt.
This study presents a comprehensive comparative analysis of Machine Learning (ML) and Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on environmental variables such as temperature, humidity, wind speed, and wind direction. Along with Artificial Neural Network (ANN), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN), the following ML models were looked at: Linear Regression (LR), Support Vector Regressor (SVR), Random Forest (RF), Extra Trees (ET), Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). Using a dataset of 40,000 observations, the models were assessed based on R-squared, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE).
View Article and Find Full Text PDFGerontologist
January 2025
MRC Unit for Lifelong Health and Ageing, University College London, UK.
Background And Objectives: This paper aims to add to the literature on successful ageing in minoritized ethnic groups. Concurring with the critiques of 'successful ageing' for focusing on values and abilities more attainable by white middle-class older people, it explores alternative discourses according to which older people from minoritized groups consider themselves to be 'ageing well'.
Research Design And Methods: The paper draws on original empirical material derived from a longitudinal research project focused on five minority ethnic groups living in a city (and surrounding areas) of the UK known for its diverse population.
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