Inverse Gini indexed averaging: A multi-leveled ensemble approach for skin lesion classification using attention-integrated customized ResNet variants.

Objective: To improve the accuracy and explainability of skin lesion detection and classification, particularly for several types of skin cancers, through a novel approach based on the convolutional neural networks with attention-integrated customized ResNet variants (CRVs) and an optimized ensemble learning (EL) strategy.

Methods: Our approach utilizes all ResNet variants combined with three attention mechanisms: channel attention, soft attention, and squeeze-excitation attention. These attention-integrated ResNet variants are aggregated through a unique multi-level EL strategy.

A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages.

Chemical industries are highly vulnerable to accidental events or terrorist attacks due to their processing, storage, and transportation of explosive, flammable, and toxic materials. Major industrial risks include fire, explosion, and toxic chemical release. An effective risk evaluation system is essential to prevent accidents or terrorist attacks.

Efficient and accurate variational inference for multilevel threshold autoregressive models in intensive longitudinal data.

Recent technological advancements have enabled the collection of intensive longitudinal data (ILD), consisting of repeated measurements from the same individual. The threshold autoregressive (TAR) model is often used to capture the dynamic outcome process in ILD, with autoregressive parameters varying based on outcome variable levels. For ILD from multiple individuals, multilevel TAR (ML-TAR) models have been proposed, with Bayesian approaches typically used for parameter estimation.

Hexagonal Hollow Core PCF-Based Blood Components Sensing: Design and Simulation.

Blood components play a crucial role in maintaining human health and accurately detecting them is essential for medical diagnostics. A cutting-edge sensor utilizing PCF revealed to precisely identify a wide range of blood components with WBCs (white blood cells), RBCs (red blood cells), HB (hemoglobin), platelets, and plasma. A numerical analysis was performed using COMSOL Multiphysics software to assess the capabilities of the sensor.

Does women empowerment alone influence contraception utilization in Bangladesh perspective? Findings from the 2017-2018 Demographic Health Survey using a structural equation model analysis.

Background: Women empowerment is a crucial issue that is less studied as a factor of contraceptive use among married women that helps to achieve sustainable development goals.

Objective: This study aimed to assess the relationship between women empowerment and contraceptive use.

Study Design: This cross-sectional study used 2017-2018 Bangladesh Demographic and Health Survey data, which included 12,006 women (weighted) aged 15 to 49 years.

The role of fMRI in the mind decoding process in adults: a systematic review.

Background: Functional magnetic resonance imaging (fMRI) has revolutionized our understanding of brain activity by non-invasively detecting changes in blood oxygen levels. This review explores how fMRI is used to study mind-reading processes in adults.

Methodology: A systematic search was conducted across Web of Science, PubMed, and Google Scholar.

Optimization of hydrothermal performance in industrial heat sinks with innovative perforated pin fin designs: A numerical approach.

This study emphasizes the importance of optimizing pin-finned heat sinks as a means of addressing thermal engineering issues. It aims to investigate the use of perforations and unique fin designs in relation to staggered pin arrays in order to fill a gap in existing research. Three-dimensional incompressible flow simulation is performed with the Fluent software.

Trust in scientists and their role in society across 68 countries.

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists.

Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset.

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.

PPILS: Protein-protein interaction prediction with language of biological coding.

Protein-protein interactions within a cell are essential for various fundamental biological processes. Computational techniques have arisen in bioinformatics due to the challenging and resource-intensive nature of experimental protein pair interaction studies. This research seeks to create a cutting-edge machine learning method for predicting protein pair interactions using carefully chosen input features and leveraging evolutionary data.

Recent advances in the tools and techniques for AI-aided diagnosis of atrial fibrillation.

Atrial fibrillation (AF) is recognized as a developing global epidemic responsible for a significant burden of morbidity and mortality. To counter this public health crisis, the advancement of artificial intelligence (AI)-aided tools and methodologies for the effective detection and monitoring of AF is becoming increasingly apparent. A unified strategy from the international research community is essential to develop effective intelligent tools and technologies to support the health professionals for effective surveillance and defense against AF.

BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in Bangladesh.

Bananas are among the most widely consumed fruits globally due to their appealing flavor, high nutritional value, and ease of digestion. In Bangladesh, bananas hold significant agricultural importance, being one of the most extensively cultivated fruits in terms of land coverage and ranking third in production volume. The banana image dataset presented in this article includes clear and detailed images of four common banana varieties in Bangladesh: Sagor Kola (), Shabri Kola (), Bangla Kola ( sp.

Triboelectric Nanogenerators for Self-Powered Degradation of Chemical Pollutants.

Environmental and human health is severely threatened by wastewater and air pollution, which contain a broad spectrum of organic and inorganic pollutants. Organic contaminants include dyes, volatile organic compounds (VOCs), medical waste, antibiotics, pesticides, and chemical warfare agents. Inorganic gases such as CO, SO, and NO are commonly found in polluted water and air.

Three-dimensional ordered macro-microporous ZIF-8-α-Glu microreactors for α-glucosidase inhibitors screening from green tea.

Due to the larger pore structure, the macroporous material can be used as the immobilized carrier to not only increase the enzyme loading capacity, but also facilitate the transfer of reactants and substrates. Based on this, a three-dimensional ordered macro-microporous ZIF-8 (SOM-ZIF-8) was prepared using three-dimensional ordered stacked polystyrene spheres as the hard template. The morphology and structure of SOM-ZIF-8 were characterized by scanning electron microscope (SEM), transmission electron microscope (TEM), X-ray diffraction (XRD), fourier transform infrared spectroscopy (FT-IR) and so on.

Development of a broad-spectrum epitope-based vaccine against Streptococcus pneumoniae.

Streptococcus pneumoniae (SPN) is a significant pathogen causing pneumonia and meningitis, particularly in vulnerable populations like children and the elderly. Available pneumonia vaccines have limitations since they only cover particular serotypes and have high production costs. The emergence of antibiotic-resistant SPN strains further underscores the need for a new, cost-effective, broad-spectrum vaccine.

Patterns and trends in burden of asthma and its attributable risk factors from 1990 to 2021 among south Asian countries: a systematic analysis for the Global Burden of Disease Study 2021.

Objective: Asthma poses a significant health burden in South Asia, with increasing incidence and mortality despite a global decline in age-standardized prevalence rates. This study aims to analyze asthma trends from 1990 to 2021, focusing on prevalence, incidence, mortality, and disability-adjusted life years (DALYs) across South Asia. The study also assesses the impact of risk factors like high body mass index (BMI), smoking, and occupational exposures on asthma outcomes.

Cordycepin and Its Structural Derivatives Effectively Suppress the High Expression of Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase in Breast Carcinomas: A Computational Drug Development Approach.

Background: Breast cancer is a frequently diagnosed malignant disease and the primary cause of mortality among women with cancer worldwide. The therapy options are influenced by the molecular subtype due to the intricate nature of the condition, which consists of various subtypes. By focusing on the activation of receptors, Epidermal Growth Factor Receptor (EGFR) tyrosine kinase can be utilized as an effective drug target for therapeutic purposes of breast cancer.

Analysis of Food Safety Knowledge and Practices Among Food Handlers in Restaurants and Street Food Markets in Dhaka, Bangladesh: A Cross-Sectional Study.

This study is aimed at analyzing food safety knowledge and practices among food handlers in restaurants and street food markets in Dhaka, Bangladesh. Inadequate food handling practices remain a major worldwide health problem and are one of the main causes of food-related diseases. In Bangladesh, where the restaurant business is expanding quickly, food safety must be upheld to stop foodborne illness outbreaks.

Knowledge distillation approach for skin cancer classification on lightweight deep learning model.

Over the past decade, there has been a global increase in the incidence of skin cancers. Skin cancer has serious consequences if left untreated, potentially leading to more advanced cancer stages. In recent years, deep learning based convolutional neural network have emerged as powerful tools for skin cancer detection.

Prevalence and Zoonotic Risk of Multidrug-Resistant in Bovine Subclinical Mastitis Milk: Insights Into the Virulence and Antimicrobial Resistance.

The emergence of antibiotic-resistant microorganisms has made antimicrobial resistance a global issue, and milk is a potential source for the propagation of resistant bacteria causing zoonotic diseases. Subclinical mastitis (SCM) cases, often overlooked and mixed with normal milk in dairy farms, frequently involve , which can spread through contaminated milk. We conducted this study to determine the prevalence of virulence genes, antibiotic resistance genes (ARGs), antimicrobial susceptibility, and the genetic relatedness of multidrug-resistant (MDR) Shiga toxin-producing (STEC) isolated from SCM milk.

Spatio-temporal assessment and prediction of wetlands: Examining the changes in ecosystem service value of RAJUK DAP area using Artificial Neural Network and Geospatial Techniques.

Wetlands are a crucial component of the earth's socio-ecological structure, providing significant ecosystem services to people. Changes in wetlands, driven by both natural and manmade causes, are altering these ecosystem services. Although Bangladesh is developing, natural resources like wetlands are changing in the country at different scales, with urban areas experiencing significant impacts.

Prevalence, antimicrobial susceptibility profiles and resistant gene identification of bovine subclinical mastitis pathogens in Bangladesh.

Subclinical mastitis (SCM), a silent threat in the dairy sector of Bangladesh poses a significant economic impact and serves as a potential source of infection for healthy cows, hindering efforts to achieve milk self-sufficiency. Despite the importance of this issue, limited research has been conducted on mastitis in Sylhet region of Bangladesh. This study aimed to investigate the molecular prevalence, antimicrobial susceptibility profile and resistant genes detection on pathogens ( and causing SCM.

Waste-derived substrates in vertical-flow constructed wetlands for an efficient removal of high-concentration heavy metals.

Contamination by heavy metals (HMs) in aquatic ecosystems is a worldwide issue. Therefore, a feasible solution is crucial for underdeveloped and developing countries. Waste-derived materials (WDMs) exhibit unique physical and chemical properties that promote diverse mechanisms for the removal of HMs in constructed wetlands (CWs).

Ni-induced selective precipitation of His-tagged recombinant proteins shortens purification time while maintaining high yield.

Nickel-NTA affinity chromatography is the current standard method for purifying His-tagged recombinant proteins. However, this process involves repetitive tasks, can be time-consuming, and reduces protein yield. Here, we present a simple, fast, and handy method for purifying His-tagged proteins using free Ni²⁺.

Association of IL6 Gene Polymorphisms and Neurological Disorders: Insights from Integrated Bioinformatics and Meta-Analysis.

Interleukin 6 (IL6) is an inflammatory biomarker linked to central and peripheral nervous system diseases. This study combined bioinformatics and statistical meta-analysis to explore potential associations between IL6 gene variants (rs1800795, rs1800796, and rs1800797) and neurological disorders (NDs) and brain cancer. The meta-analysis was conducted on substantial case-control datasets and revealed a significant correlation between IL6 SNPs (rs1800795 and rs1800796) with overall NDs (p-value < 0.