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Following COVID-19, the global educational landscape shifted dramatically. Almost every educational institute in Bangladesh undertook a strategic move to begin offering online or blended learning courses to mitigate the challenges created by the pandemic. The TVET sector, particularly the polytechnic institute of Bangladesh, endeavored to explore the blended learning approach as an immediate and long-term solution to address the educational dislocation caused by the pandemic. This study attempts to conceptualize a pedagogical design based on the ADDIE and rapid prototyping model to make a reliable and robust instructional design to be used in the blended learning context. A content validity index (CVI) was used to validate the proposed model; a technology acceptance model (TAM) was employed to examine its acceptability to students; and finally, students' academic performances were analysed to evaluate the overall performance of the proposed instructional design. The findings reveal that the proposed instructional design can be a reliable and valid pedagogical approach to be implemented in the blended learning context for polytechnic students. The proposed instructional design may help TVET educators and course designers to create a robust blended learning environment in the TVET sector and in other similar disciplines, such as science and engineering education.

The prime objectives of this study were to unveil the level of anxiety and the sources of English language anxiety of the tertiary level students of Bangladesh. Through a questionnaire survey using Foreign Language Classroom Anxiety Scale developed by Horwitz et al. (1986), the study found that most of the tertiary level learners have high anxiety of English as a foreign language. Based on an exploratory factor analysis with principal component analysis and varimax rotation (Kaiser Normalization), a four-factor (communication anxiety, comprehension and test anxiety, fear of negative evaluation, and lack of anxiety) solution emerged. Following a close analysis of the EFA and other established valid models, the study found that six components, namely, speaking anxiety, fear of negative evaluation, peer pressure/social-image anxiety, comprehension-related anxiety, negative attitude towards class, and test anxiety were the main sources of anxiety, which need to be addressed for alleviating the anxiety of the students.

Established and well-known employers in Bangladesh often complain that suitable candidates are not available for employment in their organizations, despite the millions of unemployed graduates in the country. This bears clear witness that graduates in Bangladesh are mostly unable to fulfill the needs and expectations of established and well-known employers. Employing a qualitative research approach, this article explores the desired employability skills and graduates' work readiness from the perspective of established and well-known employers in Bangladesh. The study identified the desired skills and traits as 'communication' 'teamwork and collaboration', 'problem solving', 'computer literacy and technical skill', 'honesty and integrity', 'hardworking and willingness to take on extra work', 'achievement orientation', 'adaptability', 'time management', 'leadership', 'personality' and 'academic results and knowledge'. The study also revealed that graduates mostly lack the necessary skills as envisaged by Bangladeshi employers. As employers have outright authority in the selection of graduates, it is suggested that universities work together with industries to develop the skills and traits they demand. This is the first study, to the authors' knowledge, to explore employability skills and graduates' work readiness from the perspective of established and well-known employers in Bangladesh.

The recent outbreak of the COVID-19 pandemic forced education institutes to shift to an internet-based online delivery mode. This unique situation accelerates a long-standing issue of digital inequality among the students in education and warrants a concentrated study to investigate students' readiness for learning in online environment. This study developed an instrument to meticulously measure the students' readiness for online learning in a pandemic situation. The proposed model consists of (a) motivation, (b) self-efficacy, and (c) situational factors. The proposed model was validated with the engineering students (for pilot study N = 68 and main study N = 988) from several universities in Bangladesh. To validate the underlying relationships between the latent constructs, an exploratory factor analysis (EFA) was performed followed by structural equation modelling (SEM) for the construct validity of the measurement model and to assess the model fit. The findings showed that besides motivation and self-efficacy, the situational factors describing the contextual dynamics emerging from the COVID-19 significantly influenced the student's online readiness. We argue that digital inequality is an important factor influencing student readiness for online learning.

University teachers in Bangladesh and Nigeria, in general, are novices in using modern technologies such as Google classroom in the teaching learning process. This study aims to explore teachers' attitudes towards the use of Google classroom and investigate the factors that influence the teachers' acceptance and behavioural intentions to use it as a learning management system. A quantitative method has been used to examine the teachers' acceptance of Google classroom based on a simplified technology acceptance model (TAM) in two universities located in Bangladesh and Nigeria. The study reveals that Bangladeshi teachers have a higher positive attitude towards accepting this platform compared to Nigerian teachers. Besides, Nigerian teachers are impacted significantly by the technology challenges during its use. The findings of this study inform educators of the key aspects of Google classroom use which could enable them to effectively adopt it during and post the COVID-19 pandemic.

This cross-sectional study explored stressful situations of caregivers related to life events of their children suffering from neurodevelopmental disorders along with potential contributing factors. A total of 906 caregivers of children with diagnosed neurodevelopmental disorder, from eight administrative districts and two city corporation areas in Bangladesh were interviewed. The Family Stress and Coping Interview scale was used to evaluate parenting stress. The diagnosis of neurodevelopmental disorder at the outset, feelings about the cause of the disorder, future planning for employment and accommodation for the child and dealing with child sexuality were some important stressful situations for parents. Parenting stress is found to be higher among female [regression coefficient (B) = 5.09, p < 0.001] and less educated caregivers [B = 2.69, p < 0.01]. Increasing age of child [B = 0.82, p < 0.001] and diagnosis of neurodevelopmental disorder before child's second birthday [B = 4.22, p < 0.001] are also associated with higher parenting stress.

Syllabus, as one of the most important tools of teaching-learning, must contain necessary contents. A clearly designed, well-presented syllabus with the contents following the best practices in the field is a prerequisite for effective teaching. To analyze the contents of the syllabi of English language development courses of Bangladeshi university English departments, this study prepared a checklist of an ideal syllabus following the relevant literature and theories. The study has found that the contents in those syllabuses are presented in a haphazard way. They cannot the meet most of the criteria of an ideal syllabus in terms of contents. Most of them have only some learning topics or items as contents; and names of some books as materials. Regarding the other aspects like goals and objectives, assessment, rubric, teaching-learning methodologies, types of useful materials etc., the syllabuses present a very poor scenario. In the presentation and organisation, a linear fashion is found seemingly without any grading.

Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh. The study used quantitative approach and developed a research model based on several technological acceptance models. In order to test the model, a survey was conducted to obtain data from 262 university students. SEM-PLS, a multivariate statistical analysis technique, was used to analyze the responses to examine the model, factors, structural relationships, and hypotheses. The result shows that 'perceived usefulness' and 'perceived ease of use' positively and significantly influenced by 'perceived enjoyment'. Furthermore, 'perceived usefulness', 'perceived ease of use' and 'facilitating condition' have a significant impact to predict behavioral intention to use e-learning. The results of mediation analysis show that 'perceived usefulness' and 'perceived ease of use' have mediating effects between the predictors and the outcome. Finally, 'facilitating condition' have a remarkable moderating effect to predict the student's behavioral intention in using e-learning. The findings have a noteworthy empirical implication for educational institutions to introduce e-learning system as one of the teaching and learning tools.

Background and Aims: Postpartum depression (PPD) is a globally recognized public health concern, yet research focusing on women in urban areas of Bangladesh remains unexplored. This study aimed to address this research gap by investigating the prevalence and associated factors of PPD within the first 2 years after childbirth. Methods: A cross‐sectional study was conducted, enrolling 259 women (26.66 ± 4.57 years) residing in urban areas who were attending healthcare delivery centers. Sociodemographic factors, child‐related issues, pregnancy‐related complications, and PPD using the Edinburgh Postnatal Depression Scale (EPDS) were used for data collection. Data analysis involved the application of χ2 tests and logistic regression analysis using SPSS software. Results: This study found a 60.6% prevalence of PPD using a cutoff of 10 (out of 30) on the EPDS scale. Logistic regression analysis identified several significant factors associated with PPD, including high monthly family income (odds ratio [OR] = 47.51, 95% confidence interval [CI]: 8.34–270.54, p < 0.001), income dissatisfaction (OR = 14.28, 95% CI: 4.75–42.87, p < 0.001), up to two gravidities (OR = 2.94, 95% CI = 1.25–6.90, p = 0.013), pregnancy‐related complications (OR = 2.70, 95% CI = 1.05–6.96, p = 0.039), increased antenatal care visits, and higher childbirth expenses. Conclusion: This study underscores the high prevalence of PPD among urban mothers in Bangladesh. The identified risk factors emphasize the need for targeted mental health initiatives, specifically tailored to support the vulnerable group. Implementing such initiatives can effectively address the challenges posed by PPD and enhance the well‐being of postpartum women in urban areas. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Carbapenems are the antibiotics of choice for treating multidrug-resistant bacterial infections. Metallo-β-lactamases (MBLs) are carbapenemases capable of hydrolyzing nearly all therapeutically available beta-lactam antibiotics. Consequently, this research assessed the distribution of two MBL genes and three β-lactamases and their associated phenotypic resistance in diarrheal and urinary-tract infections (UTIs) to guide future policies. Samples were collected through a cross-sectional study, and β-lactamase genes were detected via PCR. A total of 228 diarrheal bacteria were isolated from 240 samples. The most predominant pathogens were Escherichia coli (32%) and Klebsiella spp. (7%). Phenotypic resistance to amoxicillin-clavulanic acid, aztreonam, cefuroxime, cefixime, cefepime, imipenem, meropenem, gentamicin, netilmicin, and amikacin was 50.4%, 65.6%, 66.8%, 80.5%, 54.4%, 41.6%, 25.7%, 41.2%, 37.2%, and 42.9%, respectively. A total of 142 UTI pathogens were identified from 150 urine samples. Klebsiella spp. (39%) and Escherichia coli (24%) were the major pathogens isolated. Phenotypic resistance to amoxicillin-clavulanic acid, aztreonam, cefuroxime, cefixime, cefepime, imipenem, meropenem, gentamicin, netilmicin, and amikacin was 93.7%, 75.0%, 91.5%, 93.7%, 88.0%, 72.5%, 13.6%, 44.4%, 71.1%, and 43%, respectively. Twenty-four diarrheal isolates carried blaNDM-1 or blaVIM genes. The overall MBL gene prevalence was 10.5%. Thirty-six UTI pathogens carried either blaNDM-1 or blaVIM genes (25.4%). Seven isolates carried both blaNDM-1 and blaVIM genes. MBL genes were strongly associated with phenotypic carbapenem and other β-lactam antibiotic resistance. blaOXA imparted significantly higher phenotypic resistance to β-lactam antibiotics. Active surveillance and stewardship programs are urgently needed to reduce carbapenem resistance in Bangladesh. [ABSTRACT FROM AUTHOR]

Climate change impacts crop production worldwide, and coastal regions are particularly vulnerable to its adverse effects. Given the projected rise in temperature and shifting precipitation patterns, it is crucial to examine the current challenges faced by farmers in coastal Bangladesh. Using Focus Group Discussions (FGDs) and Key Informant Interviews (KIIs), we assessed the perceptions and experiences of farmers and stakeholders regarding the existing agricultural practices, the challenges they face in crop cultivation, and the adoption of climate-adaptive practices in 2 sub-districts in the southeastern coastal region of Bangladesh. Moreover, using the Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Terrestrial Water Storage Index (STI), we assessed the frequency and intensity of different climatic conditions in these two sub-districts. Results show that 100% of the respondents reported an increase in dry climatic conditions, the occurrence of untimely precipitation, and a decline in irrigation water during the cropping season. All the respondents in the FGDs expressed a loss of crop production because of these climate-induced disturbances. Despite these challenges, farmers have been implementing several climate-adaptive practices. Among the 9 mentioned climate-adaptive practices, 50% of FGD respondents utilize organic fertilizers, 42% cultivate heat- and drought-resilient crop varieties, use improved irrigation and harvest rainwater, and 25% cultivate integrated crops. The results of quantitative analysis of 3- and 6-month SPEI and STI values show that this region experienced frequent and intense dry climatic conditions during the growing-season, which supports the farmers' and stakeholders' concern about the increasing occurrence of droughts during crop growing periods. The results suggest that despite adopting climate-resilient practices under increasing growing-season droughts, farmers require support from the government and NGOs in capacity-building training and input support (e.g., stress-resilient seeds). This study holds practical implications for government, NGOs, and policymakers for ensuring sustainable agricultural productivity in the coastal region of Bangladesh. [ABSTRACT FROM AUTHOR]

Background: The rich tapestry of student politics and movements in Bangladesh is marked by a history of significant contributions to the country's sociopolitical landscape. This study was prompted by a keen interest in exploring the dynamics of contemporary student movements at Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), Gopalganj, and their interplay with the broader sociopolitical climate of Bangladesh. A critical examination of these movements reveals a complex web of motivations, strategies, and outcomes that both mirror and influence national sociopolitical dialogues. Methods: Employing qualitative research methods, including in-depth interviews (IDI) with 26 individuals directly affected by the culture and mechanics of these movements, this study uncovers the nuanced ways in which student activism at BSMRSTU mobilizes cultural ideologies toward societal change. Purposive and snowball sampling techniques were utilized to select participants, revealing that the rhetoric of movements--framed around justice, rights, equality, and reform--plays a crucial role in recruiting and energizing participants. Results: However, this investigation also highlights a darker facet of these movements: the destructive consequences of specific actions, such as property damage, which not only impact the immediate community but also fuel further unrest. The prevalence of movements centered on themes of injustice underscores the urgent need for both governmental and academic institutions to engage more constructively with student concerns. Addressing this gap requires a nuanced understanding of the motivations behind student movements and a commitment to implementing policies that nurture a culture of dialogue and reform. Conclusion: This study, therefore, problematizes the contemporary student movements at BSMRSTU by questioning the balance between activism and the potential for unintended consequences, urging a reevaluation of how such movements are perceived and managed in the context of Bangladesh's evolving sociopolitical milieu. For harmful movement culture in academia to be prevented, government and university authorities must take student movements seriously and implement policies and strong norms. [ABSTRACT FROM AUTHOR]

Rice is a staple food crop. Bangladesh produces it extensively which raised the nation into the fourth-largest rice-grower in the world. Transplanting or direct seeding is a major task in rice cultivation where the manual transplanting method requires a huge labor cost which is beyond control in a peak season. Although mechanical rice transplanters become popularization land preparation and seedling rising as a pre transplanting task is costly and labor-intensive. On the other hand, manual broadcasting and machine seeding direct method still exist due to the above method's problem. Considering spacing accuracies for intercultural operation, drum seeders are an easy and convenient method for Bangladeshi farmers. This research was carried out to design and develop a drum seeder considering existing problems related to the spacing accuracies and cost optimization. It was tested for paddy seeds under laboratory setup. The developed drum seeder has double-rows with 20 cm row spacing which has a 2.4 m working width and weighs only 15 kg. The calibration test of the seeder reveals that the seed rate increased with the decrease in amount of seeds filled with hopper. Filling with one-fourth of drum's full capacity results in the optimum seed rate (86.33 kg ha-1). On the other hand, an unacceptable seed rate was found (26.68 kg ha-1) when the drum was filled of its full capacity. The performance of the seeder in the laboratory setup was satisfactory and the overall cost to fabricate the drum seeder was found 18.15 USD which is acceptable for farmers. An extension is needed to adopt the drum seeder to the Bangladeshi farmers. [ABSTRACT FROM AUTHOR]

Introduction: The aims of the study are to: (1) determine the short-term reactogenicity of WHO-approved COVID-19 vaccines (i.e., Pfizer-BioNTech, Moderna, Sinovac, Oxford-AstraZeneca, Johnson and Johnson, Covaxin) amongst lactating women and their children, and 2) evaluate lactation-related outcomes following the same vaccines in Bangladesh. Methods: This was a multi-centre, self-reported, cross-sectional study of lactating woman-child dyads in Bangladesh. Demographics, past medical history, breastfeeding history and clinical outcomes of lactating woman–child dyads at least 7 days after the last dose of vaccine were determined through a structured questionnaire. Results: There were 750 participants from four centres. The mean age of lactating women and children surveyed were 27.6 (SD ± 4.6) years and 10.3 (SD ± 6.7) months, respectively. Majority (81.2%; 608 of 750) received 2 doses of COVID-19 vaccinations while lactating. Almost all (99.9%; 749 of 750) vaccinated lactating women surveyed reported no change in human milk supply. More than half of the participants (56.9%; 373 of 656) reported no symptoms after both doses of COVID-19 vaccines. There were no serious adverse events such as anaphylaxis or hospital admission. Majority of the lactating women (98.9%; 742 of 750) reported that the children whom they breastfed had no symptoms such as fever or cough. Discussion: This large study of lactating woman-child dyads in Bangladesh, who received a diverse range of WHO-approved COVID-19 vaccines, showed no serious short-term adverse effects. Significance: What is Already Known on this Subject?: mRNA COVID-19 vaccination is safe for lactating woman and child dyads in the short term. What this Study adds?: This is the largest known South Asian study on WHO-approved COVID-19 vaccines (both mRNA and non-mRNA) which showed that these vaccines are safe for lactating women and child dyads in the short-term. [ABSTRACT FROM AUTHOR]

Colistin is a last-resort antimicrobial for treating multidrug-resistant Gram-negative bacteria. Phenotypic colistin resistance is highly associated with plasmid-mediated mobile colistin resistance (mcr) genes. mcr-bearing Enterobacteriaceae have been detected in many countries, with the emergence of colistin-resistant pathogens a global concern. This study assessed the distribution of mcr-1, mcr-2, mcr-3, mcr-4, and mcr-5 genes with phenotypic colistin resistance in isolates from diarrheal infants and children in Bangladesh. Bacteria were identified using the API-20E biochemical panel and 16s rDNA gene sequencing. Polymerase chain reactions detected mcr gene variants in the isolates. Their susceptibilities to colistin were determined by agar dilution and E-test by minimal inhibitory concentration (MIC) measurements. Over 31.6% (71/225) of isolates showed colistin resistance according to agar dilution assessment (MIC > 2 μg/mL). Overall, 15.5% of isolates carried mcr genes (7, mcr-1; 17, mcr-2; 13, and mcr-3, with co-occurrence occurring in two isolates). Clinical breakout MIC values (≥4 μg/mL) were associated with 91.3% of mcr-positive isolates. The mcr-positive pathogens included twenty Escherichia spp., five Shigella flexneri, five Citrobacter spp., two Klebsiella pneumoniae, and three Pseudomonas parafulva. The mcr-genes appeared to be significantly associated with phenotypic colistin resistance phenomena (p = 0.000), with 100% colistin-resistant isolates showing MDR phenomena. The age and sex of patients showed no significant association with detected mcr variants. Overall, mcr-associated colistin-resistant bacteria have emerged in Bangladesh, which warrants further research to determine their spread and instigate activities to reduce resistance. [ABSTRACT FROM AUTHOR]

Background and Objective. Motorbikes are a popular mode of transportation in developing nations, especially in places where public transportation is not easily accessible. This research aims to investigate the prevalence of road traffic crashes (RTCs) among motorcyclists in Noakhali, Bangladesh, and to identify the factors that play a role in these crashes. Methods. A cross-sectional survey was conducted using a structured questionnaire involving 402 motorcyclists from four major southeastern towns, comprising 350 (86.07%) males and 52 (12.93%) females. The chi-square test was applied in bivariate analysis, and binary multivariable logistic regression was performed to determine the risk factors of road traffic crashes. Results. This study's findings revealed that the overall reported prevalence of road traffic crashes involving motorcycle drivers over one year was 68.66%. Multivariable logistic regression analysis revealed several factors that significantly impacted road traffic crashes. These factors included driving without a valid driving license, the young age (<20) of motorcyclists, driving in rainy weather, exceeding the speed limit, per-week working hours, smoking status, motorcycle ownership, the brand of motorcycle, and not wearing a helmet while driving. Conclusion. The study findings highlight the need for improving motorcycle safety by implementing measures such as imposing per-week work hour limits for riders, enforcing traffic regulations, and promoting helmet use among motorcycle drivers. The results of this study draw attention to the Bangladesh Road Transport Authority (BRTA) and motorcycle drivers in the country to decrease motorcycle crashes and the severity of injuries by implementing efficient guidelines and strategies for driving motorcycles. The findings of this study can assist policymakers and concerned authorities in taking the essential steps to lessen road traffic crashes among motorcyclists in Bangladesh. [ABSTRACT FROM AUTHOR]

Background: Child marriage remains an important problem around the world with young mothers and their under-five children often experiencing under-nutrition. The problem is rarely studied in the Bangladeshi population. This paper was designed to identify the association between child marriage and nutritional status of mothers and their under-five children in Bangladesh. Methods: Nationally representative secondary data was used for this study, data was extracted from the Bangladesh Demographic and Health Survey (BDHS) 2017–18. The sample consisted of 7235 mothers aged 18–49 years and their under-five children. The mothers were classified into two classes according to their age at first marriage: (i) child marriage (marriage at < 18 years) and (ii) not child marriage (marriage at ≥ 18 years). The nutritional status of mothers was measured by body mass index (BMI), and under-five children's nutritional status was measured by (i) height-for-age (z-score) (stunting), (ii) weight-for-age (z-score) (underweight), and (iii) weight-for-height (z-score) (wasting). The chi-square test and two-level logistic regression model were used for data analysis using SPSS software (IBM version 20). Results: The prevalence of child marriage among Bangladeshi women was 69.0%, with the mean and median of age at the first marriage being 16.57 ± 2.83 years and 16 years, respectively. Of the mothers, 15.2% suffered from chronic energy deficiency (underweight), and 72.8% were married at < 18 years. The prevalence of stunting, underweight, and wasting among under-five children in Bangladesh was 31.0%, 22.0%, and 8.5%, respectively. Compared to women married at the age of ≥ 18 years, there was a significantly higher likelihood of chronic energy deficiency among women who married at < 18 years [Adjusted OR = 1.27, CI: 1.05–1.82; p < 0.05]. Under-five children of mothers married before the age of 18 were more likely to have stunting [Adjusted OR = 1.201, CI: 1.11–1.72; p < 0.05], wasting [Adjusted OR = 1.519, CI: 1.15-2.00; p < 0.01], and underweight [Adjusted OR = 1.150, CI: 1.09–1.82; p < 0.05] compared to children of mothers who married at age ≥ 18. Conclusion: The rate of child marriage among Bangladeshi women is high, and it is significantly associated with malnutrition among mothers and their under-five children. The Bangladesh government can use the findings of this study to prevent and reduce child marriage and malnutrition among mothers and their under-five children to achieve sustainable development goals by 2030. [ABSTRACT FROM AUTHOR]

Mangroves provide essential ecosystem services including coastal protection by acting as coastal greenbelts; however, human-driven anthropogenic activities altered their existence and ecosystem functions worldwide. In this study, the successive degradation of the second largest mangrove forest, Chakaria Sundarbans situated at the northern Bay of Bengal part of Bangladesh was assessed using remote sensing approaches. A total of five multi-temporal Landsat satellite imageries were collected and used to observe the land use land cover (LULC) changes over the time periods for the years 1972, 1990, 2000, 2010, and 2020. Further, the supervised classification technique with the help of support vector machine (SVM) algorithm in ArcGIS 10.8 was used to process images. Our results revealed a drastic change of Chakaria Sundarbans mangrove forest, that the images of 1972 were comprised of mudflat, waterbody, and mangroves, while the images of 1990, 2000, 2010, and 2020 were classified as waterbody, mangrove, saltpan, and shrimp farm. Most importantly, mangrove forest was the largest covering area a total of 64.2% in 1972, but gradually decreased to 12.7%, 6.4%, 1.9%, and 4.6% for the years 1990, 2000, 2010, and 2020, respectively. Interestingly, the rate of mangrove forest area degradation was similar to the net increase of saltpan and shrimp farms. The kappa coefficients of classified images were 0.83, 0.87, 0.80, 0.87, and 0.91 with the overall accuracy of 88.9%, 90%, 85%, 90%, and 93.3% for the years 1972, 1990, 2000, 2010, and 2020, respectively. By analyzing normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and transformed difference vegetation index (TDVI), our results validated that green vegetated area was decreased alarmingly with time in this study area. This destruction was mainly related to active human-driven anthropogenic activities, particularly creating embankments for fish farms or salt productions, and cutting for collection of wood as well. Together all, our results provide clear evidence of active anthropogenic stress on coastal ecosystem health by altering mangrove forest to saltpan and shrimp farm saying goodbye to the second largest mangrove forest in one of the coastal areas of the Bay of Bengal, Bangladesh. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Economics & Research (JER) is the property of Journal of Economics & Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The purpose of the study is to find out the actual numbers or ratio of clickbait headlines used by specific Bangladeshi media, the reason behind the rise of clickbait headlines in the era of social media, and to disclose the perception of media personnel regarding clickbait headlines and their effect on audiences' credibility. The qualitative method of research has been followed for the research. Content of four top-ranked media of Bangladesh have been analyzed and 12 media personnel from these media outlets have been interviewed. The study revealed a huge presence of clickbait components in each media's content. Factors like getting more clicks to generate money, competition, and audience demand have been identified behind the rise of clickbait headlines in recent times. Media personnel have acknowledged that clickbait headlines have some negative effects on various dimensions, of which, losing audience credibility is notable. [ABSTRACT FROM AUTHOR]

Chronic infection of Helicobacter pylori represents a key factor in the etiology of gastrointestinal diseases, with high endemicity in South Asia. The present study aimed to determine the prevalence of H. pylori among dyspeptic patients in north–central Bangladesh (Mymensingh) and analyze risk factors of infection and antimicrobial resistance (AMR) determinants in the pathogen. Endoscopic gastrointestinal biopsy samples were collected from dyspeptic patients for a one-year period from March 2022 and were checked for the presence of H. pylori via the rapid urease test and PCR and further analyzed for the status of virulence factors vacA/cagA and genetic determinants related to AMR via PCR with direct sequencing or RFLP. Among a total of 221 samples collected, 80 (36%) were positive for H. pylori, with the vacA+/cagA+ genotype being detected in almost half of them. H. pylori was most prevalent in the age group of 41–50-year-olds, with it being more common in males and rural residents with a lower economic status and using nonfiltered water, though the rates of these factors were not significantly different from those of the H. pylori-negative group. Relatively higher frequency was noted for the A2147G mutation in 23S rRNA, related to clarithromycin resistance (18%, 7/39). Amino acid substitutions in PBP-1A (T556S) and GyrA (N87K and D91N) and a 200 bp deletion in rdxA were detected in samples from some patients with recurrence after treatment with amoxicillin, levofloxacin, and metronidazole, respectively. The present study describes the epidemiological features of H. pylori infection in the area outside the capital in Bangladesh, revealing the spread of AMR-associated mutations. [ABSTRACT FROM AUTHOR]

Background: Phubbing, a phenomenon of ignoring others in face-to-face conversations due to mobile phone use, can be assessed using a Phubbing Scale (PS). Recently, the PS has been shortened into an eight-item version, the PS-8. However, psychometric properties of the PS-8 among Iranian, Bangladeshi and Pakistani individuals remain understudied, especially using advanced psychometric testing, such as Rasch and network analyses. Methods: Participants residing in Iran, Bangladesh, and Pakistan (n = 1902; 50.4% females; mean age = 26.3 years) completed the PS-8 and the Internet Disorder Scale-Short Form (IDS9-SF) via an online survey. Network analysis was used to examine if PS-8 items were differentiated from IDS9-SF items; confirmatory factor analysis (CFA) was used to examine the factor structure and measurement invariance of the PS-8; Rasch modeling was used to examine the dimensionality of the PS-8 and differential item functioning (DIF). Results: Network analysis showed that PS-8 items were clustered together with a distance to the IDS9-SF items. The CFA results supported a two-factor structure of the PS-8, and the two-factor structure was found to be invariant across countries and women and men. Rasch model results indicated that the two PS-8 subscales were both unidimensional and did not display DIF across countries and gender/sex. Conclusion: The PS-8 is a feasible and robust instrument for healthcare providers, especially mental health professionals, to quickly assess and evaluate individuals' phubbing behaviors. [ABSTRACT FROM AUTHOR]

High pathogenicity avian influenza (HPAI) H5N1 outbreaks pose a significant threat to the health of livestock, wildlife, and humans. Avian influenza viruses (AIVs) are enzootic in poultry in many countries, including Bangladesh, necessitating improved farm biosecurity measures. However, the comprehension of biosecurity and hygiene practices, as well as the infection of AIV in turkey farms, are poorly understood in Bangladesh. Therefore, we conducted this study to determine the prevalence of AIV subtypes and their association with biosecurity and hygiene practices in turkey farms. We collected oropharyngeal and cloacal swabs from individual turkeys from 197 farms across 9 districts in Bangladesh from March to August 2019. We tested the swab samples for the AIV matrix gene (M gene) followed by H5, H7, and H9 subtypes using real-time reverse transcriptasepolymerase chain reaction (rRT-PCR). We found 24.68% (95% CI:21.54-28.04) of turkey samples were AIV positive, followed by 5.95% (95% CI: 4.33-7.97) for H5, 6.81% (95% CI: 5.06-8.93) for H9 subtype and no A/H7 was found. Using a generalized linear mixed model, we determined 10 significant risk factors associated with AIV circulation in turkey farms. We found that the absence of sick turkeys, the presence of footbaths, the absence of nearby poultry farms, concrete flooring, and the avoidance of mixing newly purchased turkeys with existing stock can substantially reduce the risk of AIV circulation in turkey farms (odds ratio ranging from 0.02 to 0.08). Furthermore, the absence of nearby live bird markets, limiting wild bird access, no visitor access, improved floor cleaning frequency, and equipment disinfection practices also had a substantial impact on lowering the AIV risk in the farms (odds ratio ranging from 0.10 to 0.13). The results of our study underscore the importance of implementing feasible and cost-effective biosecurity measures aimed at reducing AIV transmission in turkey farms. Particularly in resource-constrained environments such as Bangladesh, such findings might assist governmental entities in enhancing biosecurity protocols within their poultry sector, hence mitigating and potentially averting the transmission of AIV and spillover to humans. [ABSTRACT FROM AUTHOR]

Technological advancements have long played crucial roles in rice productivity and food security in Bangladesh. Seasonal variation over time and regional differences in rice production, however, pose a threat to agricultural sustainability but remain unexplored. We performed a spatial-temporal mapping of rice cultivation area, production, and yield from 2006–2007 to 2019–2020 using secondary data for disaggregating 64 districts in Bangladesh. Growth and multivariate approaches were employed to analyze time-series data. Results showed that Mymensingh had the highest rice cultivated area and production, while Bandarban had the lowest. The 14 years highest average rice yield was found in Gopalganj and Dhaka (3.63 tons/ha), while Patuakhali (1.73 tons/ha) had the lowest. For the Aus, Aman, and Boro, the rice cultivation area in 19 districts, 11 districts, and 13 districts declined significantly. The overall rice production increased significantly in most districts. For the Aus, Aman, and Boro seasons, the rice yield in 54, 50, and 37 districts demonstrated a significant upward trend, respectively. The adoption rate of modern varieties has risen dramatically. However, there are notable variances between regions and seasons. A significant increasing trend in Aus (0.007% to 0.521%), Aman (0.004% to 0.039%), and Boro (0.013% to 0.584%) were observed in 28, 34, and 36 districts, respectively, with an increase of 1% adaptation of HYV. Predictions revealed that rice cultivation area and production of Aus, Aman, and Boro seasons will be increased in most of the regions of Bangladesh by 2030. Based on spatiotemporal cluster analysis, the five identified cluster groupings illustrated that clusters lack spatial cohesion and vary greatly seasonally. This suggests increasing rice production by expanding cultivable land, adopting high-yielding varieties, and integrating faster technological advancement in research and extension. The findings will assist scientists in developing region-specific production technologies and policymakers in designing decentral region-specific policies to ensure the future sustainability of rice production. [ABSTRACT FROM AUTHOR]

This study highlights the present status of medical libraries in Bangladesh. It mainly focuses on the four key areas of medical libraries: Medical Library Services, Research4Life from Bangladesh perspective, Institutional Repository (IR), and Library Automation status. The research study also explores the various key challenges faced by the medical libraries in Bangladesh and finally provides necessary recommendations like a sufficient library budget, implementation of an Integrated Library System (ILS), skilled manpower, more participation in information networking and resource sharing, sound ICT environment, online collection development for the overall development of medical libraries in Bangladesh. [ABSTRACT FROM AUTHOR]

The industry of Islamic banking and finance (IBF) has undergone rapid expansion over the past forty years. However, it's imperative that this sector continues to evolve—making sure it aligns with contemporary market trends while staying abreast with modern financial practices. With financial offerings becoming more complex than ever before, adhering closely to shari'ah principles certainly poses a newer level of daunting challenges that need urgent attention in this burgeoning field. Moreover, the infamous products and current shari'ah governance of Islamic banks have been widely debated following the publication of an article titled "Terrible November for Islamic banks" in a reputable newspaper, Prothom Alo, 2022. In order to bridge the gap this study investigates drivers, enablers, and inhibitors of shari'ah‐compliant products and the successful implementation of shari'ah governance for sustainable Islamic banks in Bangladesh. The qualitative data have been collected through in‐depth personal interviews and focus group discussions with 41 well‐known scholars. The analysis shows shari'ah board and research division are required to collaborate to develop shari'ah‐compliant products as outlined in the Qur'an and Hadith. Additionally, a strong legislative framework for shari'ah‐compliant product development and shari'ah governance is essential to promote a sustainable Islamic banking industry. Good shari'ah governance and compliance in a banking institution are significantly dependent on the good intentions of its board members and operational managers. The study offers a legal framework and core value‐based banking that develops unique and fully shari'ah‐compliant products to uphold sustainable development goals (SDGs). Important policy implications are discussed. [ABSTRACT FROM AUTHOR]

Snakes are a natural form of pest control that play an essential role in the ecosystem's balance. Snakes can provide an ecological service to people by lowering insect populations that can spread disease and harm agricultural produce. Because snakes assist us in so many ways, they have long been the subject of torture and unfavorable views across cultures, and humans threaten many. However, little is known about how snake charmers in developing nations like Bangladesh are changing their attitudes and behavior toward snakes. This study aims to examine the snake charmer community in northern Bangladesh's changing attitudes and behavior toward snakes. Snake predictors must be better understood to improve conservation efforts. This study examined whether knowledge of mortality from snakebites, experience with snakebites, myth beliefs about snakes, and education level predict attitudes toward snakes in the northern area of Bangladesh. The results of the ordinal regression model revealed that beliefs in hatred, fear, and the myth that snakes are evil are related to less tolerance of snakes. We also examined attitudes that would predict the intended killing of snakes. Snake tolerance was linked to more frequent snake interactions and a lower level of education. Even after controlling for the influence of other psychological and experience-based variables, better snake tolerance and lower education were linked to a decreased risk of purposefully killing snakes. More education and sustainable wildlife management should be used to change people's attitudes and stop them from killing snakes on purpose. [ABSTRACT FROM AUTHOR]

With the global changes in financial activities due to FinTech, it impacts the financial behavior of Bangladeshi users as well. Purposes: This study examines the customers' attitude towards the adaptation of fintech payment services in the context of Bangladesh. Method: A quantitative method is used in this study. Respondents were selected through a purposive sampling technique. A survey technique is used to collect data about the variables. The respondents are the users of the fintech payment system. Regression analysis was done to find out the relationship between different variables. Main Findings: The research finds a statistically significant relationship between different variables which supports the theoretical framework. Applications: The findings will allow for targeted interventions in promoting positive attitudes and intentions to facilitate the adoption and sustained use of the systems. [ABSTRACT FROM AUTHOR]

The COVID-19 omicron variant is exceptionally complicated and uncertain due to its rapid transmission and volume of infections. This study examines the impact of climatic factors on daily confirmed cases of COVID-19 omicron variant in Bangladesh. The secondary data of daily confirmed cases from 1 January 2022, to 31 March 2022, of eight distinct geographic divisions have been used for the current study. The multivariate generalized linear negative binomial regression model was applied to determine the effects of climatic factors on omicron transmission. The model revealed that the maximum temperature (Odds: 0.67, p < 0.05), sky clearness (Odds: 0.05, p < 0.05), wind speed (Odds: 0.76, p < 0.05), relative humidity (Odds: 1.02, p < 0.05), and air pressure (Odds: 0.27, p < 0.05) significantly impacted COVID-19 omicron transmission in Bangladesh. The study's findings can assist the concerned authorities and decision-makers take necessary measures to control the spread of omicron cases in Bangladesh. [ABSTRACT FROM AUTHOR]

Objective: Suicidal behaviours among students pose a significant public health concern, with mental health problems being well-established risk factors. However, the association between food insecurity (FIS) and suicidal behaviours remains understudied, particularly in Bangladesh. This study aimed to investigate the relationship between FIS and suicidal behaviours among Bangladeshi university students. Design: A cross-sectional survey using convenience sampling was conducted between August 2022 and September 2022. Information related to socio-demographics, mental health problems, FIS and related events and suicidal behaviours were collected. Chi-squared tests and multivariable logistic regression models, both unadjusted and adjusted, were employed to examine the relationship between FIS and suicidal behaviour. Setting: Six public universities in Bangladesh. Participants: This study included 1480 students from diverse academic disciplines. Results: A substantial proportion of respondents experienced FIS, with 75·5 % reporting low or very low food security. Students experiencing FIS had a significantly higher prevalence of suicidal ideation, plans and attempts compared with food-secure students (18·6 % v. 2·8 %, 8·7 % v. 0·8 % and 5·4 % v. 0·3 %, respectively; all P  < 0·001). In addition, students who have personal debt and participate in food assistance programmes had a higher risk of suicidal behaviours. Conclusions: This study highlights the association between FIS and suicidal behaviours among university students. Targeted mental health screening, evaluation and interventions within universities may be crucial for addressing the needs of high-risk students facing FIS. [ABSTRACT FROM AUTHOR]

The present study was undertaken to identify the major nutrient content in processed foods commonly consumed in Bangladesh, their label conformity healthiness, and percent daily nutrient contribution. Twenty‐four nationally representative composite samples were analyzed using AOAC and other standard methods. Results were compared with label information using a restrictive approach and EU tolerance guidelines. The healthiness of the products was evaluated in terms of the Health Star Rating (HSR) scheme and the UK traffic light labeling system. Among the analyzed samples, fried pulse, chanachur, lozenge, and fried peas had the highest amount of protein, fat, carbohydrates, and dietary fiber, respectively. Biscuits and milk chocolate had high levels of trans fatty acids (TFA) and saturated fatty acids (SFA). It was observed that around half of the products lacked information about saturated fatty acid (46%), followed by total dietary fiber and trans‐fat (38% each). Other information was missing in one‐fifth of the products, namely protein (17%), total fat (17%), available carbohydrate (17%), energy (17%), sugar (21%), and salt (21%). Label compliance analysis according to the restrictive approach revealed that none of the products accurately reported the salt, sugar, saturated fat, and trans fat content on the label. According to the EU tolerance guideline, approximately half of the products had protein (58%), fat (54%), and carbohydrate (42%) levels that fell within the EU tolerance limit. However, only around one‐third of the samples had sugar (21%), salt (38%), and saturated fat (33%) levels that met the EU tolerance limit. In terms of healthiness analysis, according to the HSR, the range of stars was between 0.5 and 2.5 of the foods where fried peas got the highest rating (2.5 stars), while in terms of the UK traffic light system, none of the samples got all green signals. The lozenge got green lights for fat, SFA, and salt contents. It was also found that consumption of 100 g of fried peas or pulse would exceed the acceptable daily limit of salt, sugar, and SFA compared to the daily maximum allowable intake for the 2000 kcal diet recommended by the WHO. However, according to the serving size, biscuits were major contributors of TFA, sugar, and SFA, whereas fried pulse was a key contributor of sodium/salt. Proper regulatory actions should be introduced to promote healthy processed foods with user‐friendly front‐of‐the‐pack labeling and monitor their quality to prevent non‐communicable diseases (NCDs). [ABSTRACT FROM AUTHOR]

The Internet Disorder Scale–Short Form (IDS9-SF) is a validated instrument assessing internet disorder which modified the internet gaming disorder criteria proposed in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, the relationships between the nine items in the IDS9-SF are rarely investigated. The present study used network analysis to investigate the features of the IDS9-SF among three populations in Bangladesh, Iran, and Pakistan. Data were collected (N = 1901; 957 [50.3%] females; 666 [35.0%] Pakistani, 533 [28.1%] Bangladesh, and 702 [36.9%] Iranians) using an online survey platform (e.g., Google Forms). All the participants completed the IDS9-SF. The central-stability-coefficients of the nine IDS9-SF items were 0.71, 0.89, 0.96, 0.98, 0.98, 1.00, 0.67, 0.79, and 0.91, respectively. The node centrality was stable and interpretable in the network. The Network Comparison Test (NCT) showed that the network structure had no significant differences among Pakistani, Bangladeshi, and Iranian participants (p-values = 0.172 to 0.371). Researchers may also use the IDS9-SF to estimate underlying internet addiction for their target participants and further explore and investigate the phenomenon related to internet addiction. [ABSTRACT FROM AUTHOR]

The goal of this article is to examine opportunities and show the approach of using big data analytics to boost productivity in the case of clothing manufacturing factories in a sustainable way. The Bangladeshi manufacturing industry is mainly dominated by the apparel and textile sector for a long time now, and this has seen a large growth over the years. However, this industry is still far from using the latest technologies to improve productivity even further and bring sustainability. Usually, manufacturing operations involve the generation of a large amount of structured or unstructured, useful or non-useful data on a daily basis. This huge amount of information is known as big data, which is difficult to handle by using traditional data management and analysis tools. However, with the help of big data analytics used in a proper method, the collected information can be used to track insufficiencies in different areas of manufacturing operations. This research is conducted based on a similar idea where problems are identified, and production data collected from a garments manufacturing plant in Bangladesh are analyzed. Based on real factory data, several hypothetical frameworks were developed to implement and analyse the production data with the help of big data analytics, computerized sewing machines, radio frequency identification (RFID) tags and passive infrared sensors. The paper also shows an estimated implementation cost and return on investment of the suggested approach. [ABSTRACT FROM AUTHOR]

As the level of automation is increasing among industries, the increasing amount of waste has become one of the main barriers to having a sustainable environment. That's why the sustainable manufacturing concept came to bring economic benefits while focusing on minimizing negative environmental impacts. The purpose of this study is to show the importance of waste reduction in manufacturing processes to achieve a higher level of sustainability. This work uses the production processes of a textile garment factory located in Bangladesh as a case study to examine how waste reduction can be achieved. First, the major steps of the production process are mapped and visualized to identify improvement opportunities by using the Business Process Modeling Methodology and discrete event simulation. Second, after the production process is improved, an experimental test was conducted to see how much waste reduction can be achieved by the proposed solution. The research found that the in-sewing wastage in the factory was too much and used compressed air as a suggested solution to minimize this problem. The final result of the test showed that the in-sewing fabric wastage percentage had been reduced almost by 75 %, indicating the possible benefits of this solution regarding sustainability, if applied on a larger scale within the factory. [ABSTRACT FROM AUTHOR]

While the public sector authorities and governments struggle to ensure socioeconomic balance at all levels of society, social entrepreneurship is widely known as the optimum solution to societal issues, such as unemployment, social disparities, and ecological imbalances. Despite the fact that the younger generation holds the highest potential to be future social entrepreneurs, a few studies have been conducted to explore the factors that influence their social entrepreneurial intentions (SEI) in developing countries, such as Bangladesh. Furthermore, the empirical studies based on the value-belief-norm (VBN) theory for addressing SEI were scarce in the existing literature. The study aims to measure the influence of Altruistic Values (AV), Traditional Values (TV), Personal Normative Beliefs (NB), Awareness of Consequences (AC), Ascription of Responsibility (AR), Personal Norms (PN), and Social Norms (SN) on SEI implementation of the VBN framework. A combination of web-based and hardcopy surveys was used to collect data from 797 students of higher educational institutes in Bangladesh. The hypotheses and associations between the factors were statistically analysed using structural equation modelling. As a result, it was demonstrated that AV and TV had a notable influence on NB. Similarly, NB showed a significant positive impact on PN and AC, while AC and AR were reported to have a substantial influence on PN. Finally, PN and SN showed a strong impact on SEI. The holistic social entrepreneurship model proposed in this study should be effective for socioeconomic development by incorporating commercially feasible and sustainable principles. Overall, the study findings would assist researchers, current social entrepreneurs and organisations, educational institutes, government agencies, and individual potential entrepreneurs with accurate knowledge and insight to construct their strategies and efficiently pursue social ventures. [ABSTRACT FROM AUTHOR]

Since August 2020; the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) in collaboration with UNICEF has been operating a COVID-19 field hospital at the Teknaf sub-district of Cox's Bazar in Bangladesh. This paper is focused on estimating the effects of a history of tobacco smoking and pre-existing co-morbidities on the severity of COVID-19 infection among adult patients admitted into the aforesaid hospital. We conducted a retrospective data analysis of COVID-19 adult patients hospitalized from August 27, 2020 to April 20, 2022. Based on inclusion criteria; a total of 788 admitted patients were included in the analysis. We conducted a Chi-squared test and Fisher's exact test for the categorical variables to see their associations. Multinomial logistic regression models were performed to explore the risk factors for the severity of COVID-19 infection. Among 788 patients, 18.4%, 18.8%, 13%, 7.1%, 3.4%, and 1.9% have had a history of smoking, hypertension, diabetes, chronic obstructive pulmonary disease (COPD), cardiovascular diseases (CVD), and asthma respectively. Overall, the mean age of the patients was 40.3 ± 16.4 years and 51% were female. In multivariate analysis, history of smoking and co-morbidities were identified as the risk factors for the severity of COVID-19 infection; the history of smoking was found linked with an increase in the risk of developing critical, severe, and moderate level of COVID-19 infection- notably 3.17 times (RRR = 3.17; 95% CI: 1.3–7.68), 2.98 times (RRR = 2.98; 95% CI: 1.87–4.76) and 1.96 times (RRR = 1.96; 95% CI: 1.25–3.08) respectively more than the patients who never smoked. It was evident that patients with at least one of the selected co-morbidities such as hypertension, diabetes, COPD, CVD, and asthma exhibited a significantly higher likelihood of experiencing severe illness of COVID-19 compared to patients without any co-morbidity. History of tobacco smoking and pre-existing co-morbidities were significantly associated with an increased severity of COVID-19 infection. [ABSTRACT FROM AUTHOR]

Four loaches, namely, Lepidocephalichthys guntea (Hamilton, 1822), Lepidocephalichthys annandalei (Chaudhuri, 1912), Lepidocephalichthys thermalis (Valenciennes, 1846), and Lepidocephalichthys berdmorei (Blyth, 1860) from the Cobitidae family, were collected from the Surma River, Bangladesh. Of the total 376 speciminia, 193 males (51.32%) and 183 females (48.67%) in number; were collected with the support of local fishermen using a variety of nets at 15-day intervals from November 2022 to April 2023. The length-weight relationship (LWR) parameters were analyzed using the equation W = a L b . L. annandalei displayed a notable isometric growth pattern, with a condition factor (K) ranging from 0.725 to 0.734. In addition, L. thermalis exhibited isometric growth among males, while females showcased positive allometric growth with a condition factor (K) varying between 0.697 and 0.714. L. guntea exhibited a consistent positive allometric growth pattern across all aspects, with a condition factor (K) ranging from 0.729 to 0.738. In contrast, L. berdmorei demonstrated positive allometric growth, but males and females both exhibited a negative allometric growth pattern. The condition factor (K) for L. berdmorei ranged from 0.699 to 0.702. This suggests a complex growth pattern influenced by both length and weight in every experimental loach. The research underscores the importance of recognizing gender-specific variations in growth patterns within species. [ABSTRACT FROM AUTHOR]

Recently, fifth-generation (5G) mobile connectivity has been launched in Bangladesh on a trial-run basis. 5G is a super-speed mobile network that is much faster than the existing fourth-generation (4G) technology. It is excruciatingly hard to deploy a fully functioning 5G in any country regardless of its available resources and technological advancements because of some apparent technological complexity and limitations. In addition, when deploying this technology in developing countries such as Bangladesh, the costs come into play. To cope with the world's advancement in science and technology, Bangladesh is planning to implement 5G covering the whole country. In this paper, we present the major challenges in implementing a wide area 5G network in Bangladesh and find some possible solutions. This research work has also tried to get a clear picture of the service quality of the existing 4G cellular communication by analyzing some of the mobile operators' download speeds over 24 hours. In addition, this paper presents the current comparison of Internet facilities in Bangladesh with those of other countries across the globe. To the best of our knowledge, there is no publicly available study that has focused on the deployment of the 5G network in Bangladesh after assessing the current state of the cellular network. Therefore, this study could serve as a guiding resource, providing valuable information for decision-making. [ABSTRACT FROM AUTHOR]

Pesticide self-poisoning is one of the three most important global means of suicide, killing an estimated 110–168,000 people each year, mostly in poor rural Asian communities. Organophosphorus (OP) and carbamate anticholinesterase insecticides are responsible for about two-thirds of these deaths. Calcium channel blocking medicines (CCB) may reduce the effect of pesticides and prevent deaths. Two preclinical rodents' studies and eight clinical studies utilising nimodipine and magnesium sulphate (MgSO4), respectively, showed mixed results. We have established a multi-centre randomised controlled trial (RCT) of patients with OP or carbamate self-poisoning admitted to at least six major hospitals in Bangladesh. The study aims to recruit maximum 3,243 patients over four years. One-third of the patients selected at random will receive standard treatment, while one-third will be treated with additional nimodipine and one-third with additional MgSO4. The additional treatments will be given for 48 h. We will check mortality (currently an estimated 11% die with standard treatment) and need for intensive care for mechanical ventilation across the three groups. This could lead to development of the first novel treatment for anticholinesterase poisoning in 50 years and its introduction into routine hospital practice worldwide. [ABSTRACT FROM AUTHOR]

Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people's lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people. [ABSTRACT FROM AUTHOR]

This research adopted an exploratory mixed methods approach to explore women's participation, its associated determinants, causes, and obstacles to participation in dry fish processing in a selected coastal region of Bangladesh. Data were collected using structured interviews, in-depth interviews, and focus group discussions with women residing in six coastal villages. Extreme poverty, supporting family expenditure, and bearing children's educational expenses drive women's participation in dry fish processing activities. Multiple regression analysis indicates that intra-family empowerment status, self-confidence, personal income, family land ownership, and family size can significantly explain women's participation in dry fish processing. It was also discovered that women worked long hours in dry fish processing and were underpaid compared to men workers. The major obstacles to participation were physical hazards, low salary payment, seasonality of work, and low social status of the job. This study recommends strategies to improve the status of women's participation in dry fish processing. [ABSTRACT FROM AUTHOR]

The present study quantified Ni, Cu, Cr, Pb, Cd, As, Zn, and Fe levels in road dust collected from a variety of sites in Tangail, Bangladesh. The goal of this study was to use a matrix factorization model to identify the specific origin of these components and to evaluate the ecological and health hazards associated with each potential origin. The inductively coupled plasma mass spectrometry was used to determine the concentrations of Cu, Ni, Cr, Pb, As, Zn, Cd, and Fe. The average concentrations of these elements were found to be 30.77 ± 8.80, 25.17 ± 6.78, 39.49 ± 12.53, 28.74 ± 7.84, 1.90 ± 0.79, 158.30 ± 28.25, 2.42 ± 0.69, and 18,185.53 ± 4215.61 mg/kg, respectively. Compared to the top continental crust, the mean values of Cu, Pb, Zn, and Cd were 1.09, 1.69, 2.36, and 26.88 times higher, respectively. According to the Nemerow integrated pollution index (NIPI), pollution load index (PLI), Nemerow integrated risk index (NIRI), and potential ecological risk (PER), 84%, 42%, 30%, and 16% of sampling areas, respectively, which possessed severe contamination. PMF model revealed that Cu (43%), Fe (69.3%), and Cd (69.2%) were mainly released from mixed sources, natural sources, and traffic emission, respectively. Traffic emission posed high and moderate risks for modified NIRI and potential ecological risks. The calculated PMF model-based health hazards indicated that the cancer risk value for traffic emission, natural, and mixed sources had been greater than (1.0E−04), indicating probable cancer risks and that traffic emission posed 38% risk to adult males where 37% for both adult females and children. [ABSTRACT FROM AUTHOR]

Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in the human body. From a clinical perspective, the most significant approach to mitigating the effects of diabetes is early-stage control and management, with the aim of a potential cure. However, lack of awareness and expensive clinical tests are the primary reasons why clinical diagnosis and preventive measures are neglected in lower-income countries like Bangladesh, Pakistan, and India. From this perspective, this study aims to build an automated machine learning (ML) model, which will predict diabetes at an early stage using socio-demographic characteristics rather than clinical attributes, due to the fact that clinical features are not always accessible to all people from lower-income countries. To find the best fit of the supervised ML classifier of the model, we applied six classification algorithms and found that RF outperformed with an accuracy of 99.36%. In addition, the most significant risk factors were found based on the SHAP value by all the applied classifiers. This study reveals that polyuria, polydipsia, and delayed healing are the most significant risk factors for developing diabetes. The findings indicate that the proposed model is highly capable of predicting diabetes in the early stages. [ABSTRACT FROM AUTHOR]

Cryptosporidium species are a major cause of diarrhea and associated with growth failure. There is currently only limited knowledge of the parasite's genomic variability. We report a genomic analysis of Cryptosporidium parvum isolated from Bangladeshi infants and reanalysis of sequences from the United Kingdom. Human isolates from both locations shared 154 variants not present in the cattle-derived reference genome, suggesting host-specific adaptation of the parasite. Remarkably 34.6% of single-nucleotide polymorphisms unique to human isolates were nonsynonymous and 8.2% of these were in secreted proteins. Linkage disequilibrium decay indicated frequent recombination. The genetic diversity of C. parvum has potential implications for vaccine and therapeutic design. Clinical Trials Registration. NCT02764918. [ABSTRACT FROM AUTHOR]

Purpose: Conditional Cash Transfer (CCT) aims to assist expectant mothers in low-income households. It might address the insufficient prenatal and postnatal healthcare services in rural areas of low-income nations, including Bangladesh. However, the effectiveness of such intervention is rarely investigated in rural Bangladesh. The study aims to explore the impact of CCT on certain health outcomes of expectant mothers in southwestern rural Bangladesh. Design/methodology/approach: The study applied the quasi-experimental Propensity Score Matching method to assess the effectiveness of CCT in health outcomes of expectant mothers. The authors also deployed logistic regression to explore the predictors of three health issues – blood pressure, hemoglobin adequacy and morning sickness. Findings: The Average Treatment Effect shows that the CCT program significantly improves maternal health by lowering the extent of blood pressure and morning sickness and enhancing the hemoglobin adequacy of the CCT recipient women compared to the non-recipient. The result reveals that CCT beneficiary status as well as the education and immunization are positively and significantly associated with normal blood pressure and hemoglobin adequacy. CCT is also a negative predictor of morning sickness. The study recommends to expand the coverage of the CCT program and also emphasize on the improvement of education, training and immunization for rural pregnant women. Originality/value: To assist in scaling purchasing power and nutritious food for poor pregnant and lactating mothers in low-income households, "Nobojatra" project initiated the CCTs in the southwest region of Bangladesh. Yet, the impact of such cash transfers on their health outcomes is rarely explored in the context of Bangladesh. This study provides evidence regarding the effectiveness of cash transfers to pregnant women of low-income households in rural Bangladesh. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0512 [ABSTRACT FROM AUTHOR]

Despite the abundance of literature, longitudinal studies evaluating the factors associated with domestic violence (DV) at different stages and over longer periods of women's lives are rare. We evaluated factors associated with physical and sexual DV during pregnancy, at 10-year, and 18-year follow-ups after pregnancy and within a 19-year period of life using a cohort of women (n = 1,126) who participated in the Maternal and Infant Nutrition Interventions, Matlab trial in rural Bangladesh. Data on women's experience of DV, social and economic characteristics, empowerment, and family condition were recorded in a similar manner during pregnancy and at 10- and 18-year follow-ups, using standard questionnaires. Multivariate logistic regression models and generalized estimating equations were used to evaluate factors associated with women's experience of physical and sexual violence at each discrete time point and over a period of 19 years, respectively. During pregnancy, women were more likely to experience violence if they were members of microcredit programs/non-governmental organizations (NGOs), living in an extended family and had lower wealth status. At the 10- and 18-year follow-ups, higher levels of decision-making and higher wealth status were protective against the experience of violence. At the 18-year follow-up, women with larger age differences from their husbands were less likely to experience violence, while membership in microcredit programs/NGOs was associated with higher odds of experiencing violence among women. Within a period of 19 years, a higher level of education, living in an extended family, higher decision-making level and higher wealth index were protective against the experience of violence, while membership in microcredit programs/NGOs was a risk factor. In conclusion, this study showed that correlates of violence might change at different time points in women's life. Thus, policies and programs should consider the stage of women's lives while planning interventions for addressing violence against women. [ABSTRACT FROM AUTHOR]

Background: Healthcare providers serve as the backbone of the healthcare system, yet they frequently have low back pain (LBP) due to ergonomic factors. Therefore, the objective of this research was to identify the characteristics of LBP and its associated factors among healthcare providers in Bangladesh. Methodology: In this cross-sectional study, 310 medical providers, both male and female, participated. An interviewer-administered questionnaire was used to evaluate data regarding different measures of LBP. The chi-square test and descriptive statistics were used to evaluate the data. To identify the predicted risk factor for LBP, binary logistic regression was performed. Result: A total of 51.9% of healthcare providers reported having LBP at least once a day in the past 12 months, 25.8% had chronic LBP, 18.1% had to take time off work due to LBP, and 57.89% had received combination medication and physiotherapy in the previous 12 months. The advanced age (41–59 years) adjusted odds ratio (AOR) = 1.83, 95% confidence interval (CI) = 1.04–3.22; p = 0.034), lifting objects (AOR = 2.00, 95% CI = 1.06–3.78; p = 0.032), awkward position (AOR = 6.54, 95% CI = 3.04–14.10; p = 0.001), physical exercise (AOR = 3.81, 95% CI = 2.23–6.52; p = 0.001), and comorbidities (AOR = 1.79, 95% CI = 1.00–3.20) were predictors for developing LBP at least once in the past 12 months. Conclusion: According to this study, more than half of healthcare professionals reported having LBP at least once in the previous 12 months. Good working posture, ergonomic knowledge, and safe lifting techniques are essential to getting rid of this problem. In addition, good medical attention and regular exercise are required. [ABSTRACT FROM AUTHOR]