Evaluating the Effectiveness of a Comprehensive Interventional Package on the Quality of Life of Children With Asthma.

Introduction: Asthma is a chronic lung disease that negatively affects children's quality of life (QoL). Improving QoL is a key outcome in managing children with asthma.

Objectives: The objective of the study was to evaluate the effectiveness of a comprehensive interventional package on QoL among asthmatic children attending an asthma clinic at a selected hospital.

Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future-A comprehensive review.

The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments in artificial intelligence (AI), machine learning, and big data analytics have completely transformed the diagnosis, treatment, and care of patients. AI-powered solutions are enhancing the efficiency and accuracy of healthcare delivery by demonstrating exceptional skills in personalized medicine, early disease detection, and predictive analytics.

Uncovering the Presentation and Diagnosis of Human Bocavirus in a Patient at a Tertiary Care Center: A Case Report.

A toddler, thriving well, developmentally normal, and fully immunized, presented with fever, cough, and cold for a day, followed by breathing difficulty. Although the child was not ill upon admission, he had a fever and was breathing rapidly. On examination, visible sub-costal retractions and wheezing in both lungs were noted.

Invisible enemies: evaluating human health threats of mosquito repellents through animal studies.

Mosquito-borne diseases continue to pose significant threats to human populations, especially in developing and underdeveloped regions, where access to effective preventive measures remains limited. Mosquito repellents represent a cornerstone in the arsenal against these diseases, providing a barrier against mosquito bites. Mosquito repellents come in various formulations, including topical ointments and commercial vaporizers, with varying compositions.

Density functional theory-based modeling of the half-metallic g-CN/CoN heterojunction for photocatalytic water splitting reaction.

Using density functional theory (DFT), we have investigated the structural, optical, electronic and magnetic properties of a graphitic carbon nitride (g-CN) and CoN composite to explore the effect of the heterojunction on the photocatalytic performance of g-CN. The structure of g-CN is modified while complexing with CoN and the corresponding stabilization is confirmed through adhesion energy calculation. The phonon spectra analysis furthermore guaranteed the lattice-dynamic stability of the CoN bulk and the CoN slab.