Mawlana Bhashani Science and Technology University

The impact of governance and carbon emissions on renewable energy consumption in regional comprehensive economic partnership countries

The transition from fossil-fuel-based energy systems to renewable alternatives remains slow and uneven across many regions, raising questions about the institutional conditions that drive or constrain it. Most existing studies assume a linear relationship between governance quali...

Genistein as a potential hormetic regulator of proteostasis in neurodegeneration and aging

As global populations increase in age, the incidence of neurodegenerative diseases and dementia is rising; however, symptomatic and disease-modifying therapies deliver only modest benefits. This gap has fueled interest in aging-targeted interventions spanning lifestyle, nutrition...

Physicochemical properties, fatty acid composition, and trans fat content of unlabeled bakery products in Bangladesh: implications for food safety and regulation

The physicochemical characteristics and fatty acid composition of bakery products are key determinants of nutritional quality and stability. This study aimed to generate baseline data on unlabeled bakery products in Bangladesh by evaluating their physicochemical properties, fat c...

IFRS S1 and S2 Sustainability Standards and ESG Investment Outcomes: Empirical Evidence From Listed Companies in Bangladesh

ABSTRACT With the International Sustainability Standards Board's (ISSB's) release of IFRS S1 (General Requirements for Disclosure of Sustainability‐Related Financial Information) and S2 (Climate‐Related Disclosures), the global need to align corporate reporting with environmental...

Automation and labor market dynamics in Bangladesh evidence from an ARDL model

Abstract Achieving sustainable and inclusive labour market outcomes amid rapid technological change has become an important challenge for developing economies. Against this backdrop, this study examines the relationship between automation-related technological innovation and unem...

Detection of cardiovascular conditions using ECG image analysis: an evaluation of DenseNet121, InceptionV3, and a hybrid deep learning model

Cardiovascular diseases remain a leading cause of mortality worldwide, necessitating rapid and accurate diagnostic tools. Electrocardiogram (ECG) image analysis using deep learning offers a promising avenue for automated detection, yet model performance and generalizability requi...

Fabrication and performance evaluation of TiO2 nanoparticle modified cellulose/PBS biocomposites

Abstract In this study, jute fiber cellulose (JFC) was extracted from raw jute fibers using an alkaline (NaOH + H 2 O 2 ) chemical treatment. Titanium dioxide (TiO 2 ) nanoparticle-dispersed cellulosic biocomposite films (JFC-TiO 2 ) were subsequently fabricated and coated with b...