Working at construction sites can harm individuals’ health and well-being. However, stakeholders often focus on improving health while discounting well-being. Establishing a better workplace environment can improve workplace ...

A proposal has been made to identify tuberculosis cells using a novel compact sensor based on photonic crystal fiber: PCF in accordance with hexagonal spectroscopy. This proposed structure, which consists of a closely ...

This study conducted a comprehensive tracer analysis of 197 graduates from Daffodil International University’s Marketing bachelor program between 2019 and 2022. The main objective was to evaluate the program's alignment ...

Artificial intelligence (AI) is reshaping industries globally, and the tourism and hospitality sector in Bangladesh presents a landscape ripe for transformation. This chapter explores AI adoption in Bangladesh's tourism ...

Purpose The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness improvement of micro-small-medium ...

Water loss is a critical concern in postharvest fruit technology, significantly impacting fruit quality, shelf life, and market value. This phenomenon involves the loss of moisture from fruit tissues, leading to physiological ...

This study integrates the telegraph model with the traveling wave coefficient. This model characterizes planar random motion of particles in fluid flow, pressure waves from pulsatile blood flow in arteries, electrical ...

Contamination of harmful additives in fruits has become a concerning norm these days. Owing to the great popularity of fruits, dishonest vendors frequently use harmful chemicals to contaminate fruits to extend their shelf ...

This study investigates soliton solutions to the (2 + 1)-dimen sional space fractional Heisenberg ferromagnetic spin chain equation incorporating beta fractional derivatives that explain the nonlinear propagation of spin ...

Traditional deep learning models are often considered “black boxes” due to their lack of interpretability, which limits their therapeutic use despite their success in classification tasks. This study aims to improve the ...