Academic Articles & Research Papers

Rethinking avian influenza control: a systems-oriented One Health perspective for family poultry

Early detection and control of high- and low-pathogenicity avian influenza (HPAI, LPAI) in family poultry flocks remain challenging in settings where mortality from enzootic diseases such as Newcastle disease (ND) and infectious bursal dise...

Assessment of Urban Resiliency Concerning Disaster Risk: A Review on Multi- Dimensional Approaches

Prevalence, associated factors and consequence of problematic smartphone use among adolescents and young adults in Bangladesh: A cross-sectional study.

BackgroundProblematic smartphone use (PSU) and attention deficit hyperactivity disorder (ADHD) in children, adolescents, and young adults are of major concern to parents. However, the prevalence and associated factors related to these issue...

Does economic policy uncertainty affect insurance premiums? Fresh empirical evidence

Economic Policy Uncertainty (EPU) is the level of uncertainty or unpredictability arising from government policy on topics such as taxes, trade, monetary policy, and regulation. Exploring the relationship between EPU and insurance premiums ...

First seroprevalence survey of bovine anaplasmosis: an emerging tick-borne disease in commercial livestock and dairy farms in Bangladesh

Bovine anaplasmosis is an infectious, tick-borne disease caused by Anaplasma species, which is accountable for huge economic loss in dairy industry. This study was aimed to determine the seroprevalence of bovine anaplasmosis on randomly sel...

Influenza-associated mortality in 2009 in four sentinel sites in Bangladesh

OBJECTIVE: To estimate influenza-associated mortality in Bangladesh in 2009. METHODS: In four hospitals in Bangladesh, respiratory samples were collected twice a month throughout 2009 from inpatients aged ...

Epidemiology of Hepatitis C Virus in Bangladeshi General Population

Background: Hepatitis C virus is encountered sporadically in Bangladesh. It results in a wide range liver diseases, with asymptomatic acute hepatitis rarely at one end to HCC at the other end of the spectrum. Methods: 1018 individuals of ...

3D printing technology in the management of carpal tunnel syndrome: A case report

A 35-year-old individual with carpal tunnel syndrome presented with tingling and numbness in the left thumb, index, and middle finger. A 3D printed CTS splint was crafted to immobilize the affected wrist joint, aiding pharmacotherapy. At si...

Living standard and access to tetanus toxoid immunization among women in Bangladesh

Abstract Background Although Bangladesh has an impressive track record in the reduction of maternal and child mortality, tetanus, a dreadful disease, impedes the way to achieve Sustainable Development Goal (SDG) in this respect. Sufficient ...

Current Status of Fasciolosis of Goat in Sylhet, Bangladesh: An Integrated Morphomolecular Study

Epidemiological information and proper identification of Fasciola species present in Bangladesh are important for control. This study was aimed at determining the prevalence of liver fluke infection of goats in Sylhet, Bangladesh, and ident...

Empowering Students for Cybersecurity Awareness Management in the Emerging Digital Era: The Role of Cybersecurity Attitude in the 4.0 Industrial Revolution Era

The purpose of the study is to examine how cybersecurity knowledge, password security, and self-perception of skill affect cybersecurity awareness issues via the mediating lens of cybersecurity attitude among university students in Banglade...

Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text Using Transformers

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...

Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection

Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...

FieldMaizeLeaf-8: A real-field early vegetative maize leaf stress image dataset from Bangladesh.

MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning researchMendeley Data

Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...

Enhancing image caption generation through context-aware attention mechanism

Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...

Evaluating the ergonomic deficiencies in computer workstations and investigating their correlation with reported musculoskeletal disorders and visual symptoms among computer users in Bangladeshi university

Background: Nowadays, computer users are facing musculoskeletal disorders (MSDs) and visual symptoms. Prolonged sitting in inappropriate, awkward, and static postures on the computer workstation may cause musculoskeletal disorders (MSDs). S...

A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems

Abstract This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems. The suggested model uses a “long short‐term memory”...

Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania

AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating D...

Performance Analysis and Optimization of Terahertz Metamaterial Absorbers Using Machine Learning-Based Inverse Modeling

We present a tunable broadband terahertz (THz) metamaterial absorber with a structurally simple, single-layered vanadium dioxide (VO2) elliptical ring resonator. This design achieves a wide, near-perfect absorption band (3.5–5 THz) w...