COVID-19’s unanticipated consequences have resulted in the extended closure of various educational institutions, causing significant hardship to students. Even though many institutions rapidly transitioned online education programs, issues emerged that are impacting aspects students’ lives. An survey was conducted with students Bangladesh understand how COVID-19 impacted their study, social and daily activities, plans, mental health. A total 409 Bangladeshi took part a survey. As result...

The COVID-19 pandemic has sparked widespread health-related discussions on social media platforms like Twitter (now named 'X'). However, the lack of labeled data poses significant challenges for theme-based classification and tweet aggregation. To address this gap, we developed a machine learning-based web application that automatically classifies discourses into five categories: health risks, prevention, symptoms, transmission, treatment. We collected 6,667 COVID-19-related tweets using...

Nowadays road accident in Bangladesh is a buzzword due to its lack of carefulness the driver vehicle where some parameter exists. The traffic safety roadway an essential concern not only for transportation governing agencies but also citizens our country. For safe driving suggestions, important thing find variables that are tensed relate fatal accidents occurring often. In this paper, we create model using machine learning approach on countrywide dataset as aim address problem. helps out...

The challenge of designing against child sexual abuse becomes more complicated in conservative societies where talking about sex is tabooed. Our mix-method study, comprised an online survey, five FGDs, and 20 semi-structured interviews Bangladesh, investigates the common nature, location, time abuse, post-incident support, possible combating strategies. Besides revealing important facts, our findings highlight need decentering design from victims (children and/or guardians) to community....

Quantum Dot Intermediate Band Solar Cells (QDIBSC) can be a potential candidate in the field of solar cell research. It is an emerging cell. Our aim to find suitable material for this type cells. Ternary materials are proved very convincing recent research cells because its bandgap varied. InGaN has been chosen as p and n investigate we found significant results. material. The had simulated by varying band gap Maximum efficiency at 1.21eV. Efficiency 30.38% ( <tex...

The objectives of this study are understanding the requirements a child sexual abuse (CSA) education app, identifying limitations existing apps, and providing guidelines for better app design. An electronic search across three major stores was conducted selected apps were rated by devised rating scale. Our scale evaluates essential features, functionalities, software quality characteristics that necessary CSA determined their effectiveness potential use as programs children. User comments...

Skull stripping (SS) is a well-known preprocessing step commonly adopted in Magnetic Resonance (MR) scans to eliminate non-brain tissues. While it well-established for mid-adults, there limited experimentation with the pediatric population. The continuous development of brain presents challenges existing SS techniques. This paper aims compare different techniques population quantitatively and qualitatively. Due absence manual segmentation (ground truth), quantitative analysis focuses on...

Solar cell efficiency is still not significant enough due to various reasons. One of them utilize the lower energetic photons spectrum beyond material bandgap. If quantum dot can be introduced within intrinsic region a p-i-n structured solar cell, sub band in middle conduction (CB) and valance (VB) will form. Low energy are absorbed via called Intermediate Band (IB). Therefore, short circuit current (J <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

The objectives of this study are understanding the requirements a CSA education app, identifying limitations existing apps, and providing guideline for better app design. An electronic search across three major stores(Google Play, Apple, Microsoft) is conducted selected apps rated by independent raters. Total 191 found finally, 14 review based on defined inclusion exclusion criteria. rating scale devised modifying scales used to evaluate apps. Our evaluates essential features, criteria,...

The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused gaining insights into health-related perspectives from social media. In study, our primary objective is to develop a machine learning-based web application for automatically classifying COVID-19-related discussions To achieve this, we label Twitter data, provide benchmark classification results, application. We collected data using the API labeled total of...

Prenatal alcohol exposure (PAE) refers to the of developing fetus due consumption during pregnancy and can have life-long consequences for learning, behavior, health. Understanding impact PAE on brain manifests challenges its complex structural functional attributes, which be addressed by leveraging machine learning (ML) deep (DL) approaches. While most ML DL models been tailored adult-centric problems, this work focuses applying detect in pediatric population. This study integrates...

Mobile games can contribute to learning at greater success. In this paper, we have developed and evaluated a novel educational game, named FoodCalorie, learn the food calorie intake standards. Our game is aimed values of various traditional Bangladeshi foods standard that varies with age gender. study confirms finding existing studies game-based enhance experience.

Necrotizing Fasciitis (NF), or Soft-Tissue Infection (NSTI), is a rare infection that poses significant threat to health. In the absence of proper diagnosis, can spread rapidly causing extensive tissue necrosis and death - mortality rate 20% 35%. Due inadequate resources, little progress has been made for automatic detection NF. We have prepared novel dataset containing images affected human organs by NF using an internet image search. The contains 693 in total, raw, augmented, non-NF...