A novel dataset of Gupta archer type coins for machine learning-based classification.

In the field of numismatics, classifying ancient coins, especially those that have diverse information and cultural heritage is a difficult task. Machine learning algorithms have recently made remarkable advancements in these types of tasks. However, these algorithms largely rely on relevant datasets.

Nosocomial Infection Among Burn Patients Admitted to a Tertiary Care Hospital of Bangladesh: A Cross-Sectional Study.

Nosocomial infection is a major challenge for the appropriate management of burns. The present study aimed to investigate incidence, risk factors, and causative organisms of nosocomial infection in burn patients of Khulna, Bangladesh. This cross-sectional study was conducted among patients admitted to the Burn and Plastic Surgery Department of Khulna Medical College Hospital (KMCH) from January to December 2020.

Medical students' career preferences in Bangladesh.

Aim: This study aimed to investigate the career preferences among Bangladeshi medical students, identify the factors that influence their present choices, and additionally report the role of gender and academic year behind their decisions.

Methods: This cross-sectional study conducted in Bangladesh from August 2022 to April 2023 included 801 medical students conveniently selected from medical colleges in eight divisions. Data were collected using a web-based survey and analysed using STATA version 16.

Capturing Acidic CO Using Surface-Active Difunctional Core-Shell Composite Polymer Particles via an Aqueous Medium.

Multifunctional surface-active polymeric composites are attractive materials for the adsorption of various small molecules. Herein, dual-functionalized micron-sized surface-active composite polymer particles were prepared by a three-step process for CO adsorption. First, polystyrene (PS) seed particles were prepared via the dispersion polymerization of styrene.

A candidate multi-epitope vaccine against Lumpy skin disease.

Lumpy skin disease (LSD) is a fulminant infectious disease that mostly affects cattle and causes considerable economic loss throughout the globe. This study was conducted to develop a new multi-epitope-based vaccine against LSD that can elicit immunological responses using an in silico reverse vaccinology approach. Initially, three antigenic proteins, protein E5, E3 ubiquitin-protein ligase LAP and 62 kDa protein, were manipulated to recognize potential T-cell and B-cell epitopes.