A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region.

Computed tomography (CT) scans play a key role in the diagnosis of stroke, a leading cause of morbidity and mortality worldwide. However, interpreting these scans is often challenging, necessitating automated solutions for timely and accurate diagnosis. This research proposed a novel hybrid model that integrates a Vision Transformer (ViT) and a Long Short Term Memory (LSTM) to accurately detect and classify stroke characteristics using CT images.

Polychlorinated naphthalenes (PCNs) and polychlorinated biphenyls (PCBs) in surface soils and street dusts in Detroit, Michigan.

Polychlorinated naphthalenes (PCNs) and polychlorinated biphenyls (PCBs) are toxic contaminants that were produced and used in large quantities for their stability, inertness, and other desirable electrical, cooling, and lubricating properties. Due to their environmental persistence and improper disposal, these contaminants have become broadly distributed in the environment. This study examines the levels, composition, distribution, and potential sources of these compounds in surface soils and street dusts collected at 19 residential and industrial areas in Detroit, Michigan.

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.

Anxiety disorders among older Canadians: Focus on Indigenous and racialized population groups.

Background: Anxiety disorders are among the most common mental health problems. However, few studies have examined the prevalence of, and factors associated with, anxiety disorders among older Canadians (65 years or older), with a particular focus on Indigenous and racialized population groups.

Data And Methods: Data from eight cycles of the annual Canadian Community Health Survey (CCHS) - 2015 to 2022 - were used to examine anxiety disorders among older Canadians.

Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach.

Background: Dengue fever is a serious public health issue in Bangladesh, where its incidence rises with the monsoon. Meteorological variables are believed to be responsible factors among others. Therefore, this study examines the effects of meteorological variables (temperature, rainfall, and humidity) on dengue incidence in Bangladesh.

Evaluation of noise pollution impact on health in Dhaka city, Bangladesh.

Objectives: The purpose of this research was to look at the interrelation between adult health issues in Dhaka and noise pollution.

Methods: The methodology involved a cross-sectional survey conducted in five different land use categories, with a sample size of 1,016 individuals. A validated questionnaire that focused on sources of perceived noise pollution and health issues related to noise was used to gather subjective data for the study.

Link between gender inequality and women's satisfaction with maternal healthcare services: a cross-sectional study in Khulna, Bangladesh.

Background: Gender inequality within households remains a significant barrier to accessing maternal healthcare services in many low-resource settings, including Bangladesh. Understanding the relationship between the gender inequality faced by women in households and their perceived satisfaction with maternal healthcare services is important.

Objective: This study aims to identify the factors influencing gender inequality and investigate the association between gender inequality faced by women within households and their perceived satisfaction with maternal healthcare services.

Stock assessment of the mud crab ( collected from the terrestrial edge of the Sundarbans mangrove forest, Bangladesh.

We estimated mud crab () population parameters to determine recruitment patterns, asymptotic carapace width ( ), growth coefficient (), mortality rate (, , and ), exploitation rate () and relationship between body weight and carapace width ( - ) in the terrestrial edge of the Sundarbans mangrove forest, Bangladesh. Baited long lines and traps were used to collect crab samples from the terrestrial edge of the mangroves (up to 10 km inside of the Sundarbans mangroves) monthly for a year (Jan 2021-Dec 2021). These frequency data were utilized to determine population characteristics.

Motion artifact contaminated multichannel EEG dataset.

Wearable EEG suffers from motion artifact contamination due to the subject's movement in an ambulatory environment. Signal processing techniques pose promising solutions for the detection and removal of motion artifacts from ambulatory EEG, but relevant open-access datasets are not available, which is detrimental to the development of wearable EEG applications. This article showcases open-access electroencephalography (EEG) recordings, while a subject is performing different upper-body, lower-body, and full-body movements.

Primary risk assessment of microplastic pollution in spineless cuttlefish () from the North-East Bay of Bengal: A tissue-based analysis.

Microplastic pollution has a significant threat to marine ecosystems, yet its impact on spineless cuttlefish () remains under-researched. This study aims to address this gap by analysing microplastic contamination in from the North-East Bay of Bengal. This species is widely consumed and transported globally as food, thus holding significant health concerns.

Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh.

Brain tumor, a leading cause of uncontrolled cell growth in the central nervous system, presents substantial challenges in medical diagnosis and treatment. Early and accurate detection is essential for effective intervention. This study aims to enhance the detection and classification of brain tumors in Magnetic Resonance Imaging (MRI) scans using an innovative framework combining Vision Transformer (ViT) and Gated Recurrent Unit (GRU) models.

Rate and sociodemographic correlates of depression, anxiety, and stress among domestic and overseas medical students: A cross-sectional observation from a private medical college in Bangladesh.

Background: Depression, anxiety, and stress are the commonly encountered mental health conditions among medical students. Overseas environment may add additional burden to the existing environment. However, comparison of the rate and associated factors of depression, anxiety, stress among domestic and overseas students has not been attempted in Bangladesh.

Rabies control in Bangladesh and prediction of human rabies cases by 2030: a One Health approach.

Background: Bangladesh is making progress toward achieving zero dog-mediated rabies deaths by 2030, a global goal set in 2015.

Methods: Drawing from multiple datasets, including patient immunisation record books and mass dog vaccination (MDV) databases, we conducted a comprehensive analysis between 2011 and 2023 to understand the effectiveness of rabies control programmes and predict human rabies cases in Bangladesh by 2030 using time-series forecasting models. We also compared rabies virus sequences from GenBank in Bangladesh and other South Asian countries.

Physicochemical Properties, Antioxidant Activity, and High-Performance Thin-Layer Chromatography Profiling of Propolis Samples from Western Australia.

This study reports on the physicochemical and antioxidant properties of propolis samples from various regions across Western Australia and identifies some phenolic constituents using high-performance thin-layer chromatography (HPTLC). Total phenolic content (TPC) was determined using a modified Folin-Ciocalteu assay, and antioxidant activity was investigated with the Ferric Reducing Antioxidant Power (FRAP) assay and also visualised and semi-quantified by HPTLC-DPPH analysis. TPC values ranged from 9.

A computational approach for structural and functional analyses of disease-associated mutations in the human CYLD gene.

Tumor suppressor cylindromatosis protein (CYLD) regulates NF-κB and JNK signaling pathways by cleaving K63-linked poly-ubiquitin chain from its substrate molecules and thus preventing the progression of tumorigenesis and metastasis of the cancer cells. Mutations in CYLD can cause aberrant structure and abnormal functionality leading to tumor formation. In this study, we utilized several computational tools such as PANTHER, PROVEAN, PredictSNP, PolyPhen-2, PhD-SNP, PON-P2, and SIFT to find out deleterious nsSNPs.

Role of information sources in adherence to COVID-19-related safety measures among college students in the USA.

Objective: During the COVID-19 pandemic, information sources such as public officials, national/international media, social media, public health agencies, college/university officials, etc., played a vital role in adherence to safety measures, including hygiene practices, social distancing, and mask-wearing. We analyze the role of trusted sources of information in adherence to safety measures and explore potential disparities among US college students during the pandemic.

Analyzing the impact of remittance, FDI and inflation rate on GDP: A comparative study of Bangladesh, Pakistan and Sri-Lanka using VAR and BEKK-GARCH approach.

This study examines the impact, conditional correlation and volatility spillover effect of remittances, foreign direct investment and inflation rate on GDP in Bangladesh, Pakistan, and Sri-Lanka, three Asian nations that are particularly vulnerable. While numerous studies have examined the relationship between remittances, FDI and IR on GDP but this paper approaches advanced econometric techniques to capture spillover effect and the dynamic interactions between the variables. For estimation purposes the study employs different econometric techniques such as Augmented Dickey-Fuller (ADF) test, VAR model, Granger causality tests, Impulse Response function, Variance Decomposition and BEKK-GARCH model.

Investigation of the performance of the combined moving bed bioreactor-membrane bioreactor (MBBR-MBR) for textile wastewater treatment.

The present study focused on the investigation of the performance of a Moving Bed Bioreactor coupled with a Membrane Bioreactor (MBBR-MBR) on a small scale for textile wastewater treatment. The parameters examined in this study included the removal efficiency of chemical oxygen demand (COD), biochemical oxygen demand (BOD), total suspended solids (TSS), turbidity, color, and heavy metals (HM). The two reactors were operated consecutively and maintained aerobic conditions.

Are hotspots and frequencies of heat waves changing over time? Exploring causes of heat waves in a tropical country.

Heat waves significantly impact people's lives and livelihoods and are becoming very alarming and recognized as hot topics worldwide, including in Bangladesh. However, much less is understood regarding recent hotspots, the frequency of heat waves over time, and their underlying causes in Bangladesh. The objective of the study is to explore the current scenario and frequency of heat waves and their possible causes across Bangladesh.

Economic viability of releasing Bt cotton in Bangladesh: An early insight.

Insect resistant genetically modified Bt cotton (containing a gene of ) has substantial potentiality of mounting cotton productivity. This study unveils an early insight on the economic viability of Bt cotton in Bangladesh. A total of 248 traditional cotton farmers and 8 Bt cotton experimental fields were surveyed in April 2022 for achieving the objectives.

An in-depth analysis and review of management strategies for E-waste in the south Asian region: A way forward towards waste to energy conversion and sustainability.

The soaring rise of electronic and electrical waste (E-waste) leads to significant challenges to the South Asian region, urging for incorporating comprehensive assessment and management strategies. The research dives into the intricacies of E-waste and examines how regulatory barriers, public ignorance, and the limited lifespan of electronic devices all contribute to the significant production of E-waste. This study emphasizes the vital need for ongoing and appropriate management practices by bringing attention to the short lifespan of electronic devices and the resulting generation of E-waste.