Background: Over 250 million children are developing sub-optimally due to their exposure to early life adversities. While previous studies have examined the effects of nutritional status, psychosocial adversities, and environmental pollutants on children's outcomes, little is known about their interaction and cumulative effects.
Objectives: This study aims to investigate the independent, interaction, and cumulative effects of nutritional, psychosocial, and environmental factors on children's cognitive development and mental health in urban and rural India.
Epoxides are versatile chemical intermediates that are used in the manufacture of diversified industrial products. For decades, thermochemical conversion has long been employed as the primary synthetic route. However, it has several drawbacks, such as harsh and explosive operating conditions, as well as a significant greenhouse gas emissions problem.
View Article and Find Full Text PDFZ boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of Z boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins.
View Article and Find Full Text PDFContext: Pachydermoperiostosis (primary hypertrophic osteoarthropathy, PHO) usually due to biallelic loss-of-function variants in HPGD and SLCO2A1, has some features overlapping with acromegaly and often referred to endocrinologists. A detailed endocrine assessment is not available for these patients.
Objective: To assess the genetic and endocrine characteristics of PHO patients referred to endocrine centres with a possible diagnosis of acromegaly.
Background: Depression among the elderly is a growing public health concern, especially in India. This study aimed to investigate the predictive validity of physiological, psychological, and functional health factors in classifying the level of depressive symptoms among the elderly using the extreme gradient boosting (XGBoost) technique. Additionally, we compared the performance of models trained on original and resampled data.
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