Foliar image-based characterization of airborne particulate matter in an urban area and its implications for remediation.

This study addresses the pervasive issue of particulate matter (PM) emission in urban areas, proposing a better approach using scanning electron microscope (SEM) techniques to identify plant species effective in airborne PM removal. Conducted in Bilaspur city, the research strategically selected six plant species across four distinct sites and applied the SEM-Image J method for analysis, yielding significant insights, especially in the respirable PM range. Among the tested plant species, Senna Siamea and Dalbergia Sissoo emerged as consistent and standout performers, displaying the highest PM removal efficiency across all sites.

A Descriptive Study of Patients Presenting With Topical Steroid Damaged/Dependent Face (TSDF) to a Tertiary Care Center in Northern India.

Introduction Topical steroid damaged/dependent face (TSDF) is defined as the semi-permanent or permanent damage to the skin of the face precipitated by the irrational, indiscriminate, or prolonged use of topical corticosteroids (TCs), resulting in various cutaneous signs and symptoms and psychological dependence on the drug. The objective was to determine the clinical spectrum of TSDF. Methods This was an observational cross-sectional study conducted between May 2021 and April 2022, comprising 100 consecutive patients of TC-induced facial dermatoses who visited the skin and venereal disease OPD of a tertiary care hospital in northern India.

An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia.

Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.

Economic Burden of Multimorbidity and Polypharmacy Among Geriatric Patients: A Single-Center Experience From Odisha, India.

Background Multimorbidity and polypharmacy are common in older adults and pose a considerable challenge to the health and social care system. They are complex and interrelated concepts in geriatric care that require early detection and patient-centered shared decision-making by multidisciplinary, team-led comprehensive geriatric assessment (CGA) across all health and social care settings. The primary objective of this study is to investigate the economic burden of multimorbidity and polypharmacy among geriatric patients.

Synthesis, Structural Characterization and Catalytic Application of Ferrocenyl Based Bis(pyrazolyl) Palladium Complexes.

Here we report, synthesis of ferrocenyl based bis(pyrazolyl) palladium complexes. The catalytic utility of the complexes in the cross-coupling of triarylbismuthanes and aryl bromides was evaluated. Our ferrocenyl based palladium complex showed wide substrate scope for both triarylbismuthanes and aryl bromides.