Performances of improved and traditional rice based jhum cultivation in a hill district of Bangladesh

Jhum is a customary farming which is very important for the livelihood of the alpine people of Bangladesh. Total productivity of the traditional practice of jhum cultivation is very low. The study was conducted to identify the yield gap between improved and local practices in Bandarban district of Bangladesh during March to September; 2017.The experiment was laid out in randomized complete block design (RCBD) with ten replications. Improved jhum practice produced the higher yields of rice (3113kg/ha), seed cotton (456 kg/ha), sesame (478 kg/ha) and maize (627 kg/ha) than traditional local jhum. Rice Equivalent Yield (REY) was also higher (40.23%) in improved jhum (6786.8kg/ha) than local jhum (4339.8 kg/ha). Improved jhum’s rate of returns (2.15) was higher than traditional jhum’s rate of returns (1.56). Improved practice in jhum cultivation increased yield and it was economically profitable over traditional practice

COVID-19 Vaccination Intent and Willingness to Pay in Bangladesh: A Cross-Sectional Study.

This article reports the intent to receive a SARS-COV-2 vaccine, its predictors and willingness to pay in Bangladesh. We carried out an online cross-sectional survey of 697 adults from the general population of Bangladesh in January 2021. A structured questionnaire was used to assess vaccination intent. The questionnaire included sociodemographic variables and health belief model constructs which may predict vaccination intent. Among the participants, 26% demonstrated a definite intent, 43% probable intent, 24% probable negative, and 7% a definite negative intention. Multivariable logistic regression analyses suggest an association between definite intent and previous COVID-19 infection (OR: 2.86; 95% CI: 1.71-4.78), perceiving COVID-19 as serious (OR: 1.93; 1.04-3.59), the belief that vaccination would make them feel less worried about catching COVID-19 (OR: 4.42; 2.25-8.68), and concerns about vaccine affordability (OR: 1.51; 1.01-2.25). Individuals afraid of the side effects (OR: 0.34; 0.21-0.53) and those who would take the vaccine if the vaccine were taken by many others (OR: 0.44; 0.29-0.67) are less likely to have a definite intent. A definite negative intent is associated with the concern that the vaccine may not be halal (OR: 2.03; 1.04-3.96). Furthermore, 68.4% are willing to pay for the vaccine. The median amount that they are willing to pay is USD 7.08. The study findings reveal that the definite intent to receive the SARS-CoV-2 vaccination among the general population varies depending on their COVID-19-related health beliefs and no significant association was found with sociodemographic variables

Depression among the Non-Native International Undergraduate Students Studying Dentistry in Bangladesh.

BACKGROUND: Bangladesh has been attracting international students with interests in various subjects recently. Every year students from different parts of the world come to study undergraduate and postgraduate courses, mostly at private universities in Bangladesh. This study evaluates the depression status among international students who are studying dentistry in Bangladesh. METHODS: This cross-sectional survey was conducted among International undergraduate dental students who enrolled in the Bachelor of Dental Surgery program in nine public and private dental colleges in Bangladesh. Participants were selected using a convenience sampling method. A total of 206 students completed the survey where 78.5% of them were female students and 21.5% students were male, and a CES-D 10-item Likert scale questionnaire was used for data collection. The Cronbach alpha for the 10-item CES-D scale for this population is 0.812. RESULTS: The majority of the students (79.5%) are below 24 years of age with a mean age of 23.22 years and standard deviation of 2.3, and are students who cannot communicate well in Bengali (Bangla), about 60% of them have experienced depression. About 77.3% (p < 0.00) of the international students having financial difficulties exhibited depression. The international students who went through financial problems were two times more likely to suffer from depression (OR = 2.38; p-value < 0.01). CONCLUSION: This study tried to highlight the struggles faced by international students in Bangladesh studying dentistry. It is evident from the findings that several factors influence students' mental well-being during demanding dental education years

Implementing Machine Learning Algorithms to Predict Particulate Matter (PM2.5): A Case Study in the Paso del Norte Region

This work focuses on the prediction of an air pollutant called particulate matter (PM2.5) across the Paso Del Norte region. Outdoor air pollution causes millions of premature deaths every year, mostly due to anthropogenic fine PM2.5. In addition, the prediction of ground-level PM2.5 is challenging, as it behaves randomly over time and does not follow the interannual variability. To maintain a healthy environment, it is essential to predict the PM2.5 value with great accuracy. We used different supervised machine learning algorithms based on regression and classification to accurately predict the daily PM2.5 values. In this study, several meteorological and atmospheric variables were retrieved from the Texas Commission of Environmental Quality&rsquo;s monitoring stations corresponding to 2014&ndash;2019. These variables were analyzed by six different machine learning algorithms with various evaluation metrics. The results demonstrate that ML models effectively detect the effect of other variables on PM2.5 and can predict the data accurately, identifying potentially risky territory. With an accuracy of 92%, random forest performs the best out of all machine learning models

Factors associated with school achievement of children aged 8-10 years in rural Bangladesh : Findings from a post hoc analysis of a community-based study

Background Education is one of the most important human capitals. Investment in education at early age returns best. A lot of factors influence children's educational achievement. Studies in developed countries well established the relation of school achievement with its associated variables. But information is lack on what factors play important role for school achievement at early age in low resource settings like Bangladesh. We aimed to find factors associated with school achievement in rural Bangladesh. Method The data were acquired from a long-term follow up study, conducted in 8-10 years old children (n = 372). We used a locally developed school achievement tool based on Wide Range Achievement Test-4 to measure reading, spelling and math computation, Wechsler abbreviated scale of intelligence to measure intelligence Quotient (IQ), Digit span forward and backward for short term memory, and locally available Strength and Difficulties Questionnaire to measure behaviour. Socioeconomic and anthropometric information of the mothers and children were also collected. Multicollinearity of the data was checked. Unadjusted and adjusted multiple linear regression analysis was performed. Findings Years of schooling and short-term memory were positively related to reading, spelling and math computation. For years of schooling it was-reading B = 8.09 (CI 5.84, 10.31), spelling 4.43 (4.33, 8.53) and math computation 5.23 (3.60, 6.87) and for short term memory- reading 3.56 (2.01,5.05), spelling 4.01 (2.56, 5.46) and math computation 2.49 (1.37, 3.62). Older children had lower scores of reading -0.48 (-0.94, -0.02), spelling -0.41 (-0.88, -0.02) and math computation -0.47 (-0.80, -0.14). Children's IQ predicted reading 0.48 (0.14, 0.81) and spelling 0.50 (0.18, 0.82) skills. Mother and father's education predicted Spelling 0.82 (0.16, 1.48) and reading 0.68 (0.06, 1.30) capacity respectively. Children enrolled in private schools had higher reading 10.28 (5.05, 15.51) and spelling 6.22 (1.31, 11.13) than those in the government schools. Children with more difficult behaviour tended to have lower scores in reading -0.51 (-0.96, -0.05). Conclusion Children's school achievement is influenced by their IQ, years of schooling, type of school and parents' education. Therefore, intervention should be made to focus specifically on these variables and establish the effect of this intervention through robust research design

Implementing Machine Learning Algorithms to Predict Particulate Matter (PM_2.5): A Case Study in the Paso del Norte Region

This work focuses on the prediction of an air pollutant called particulate matter (PM2.5) across the Paso Del Norte region. Outdoor air pollution causes millions of premature deaths every year, mostly due to anthropogenic fine PM2.5. In addition, the prediction of ground-level PM2.5 is challenging, as it behaves randomly over time and does not follow the interannual variability. To maintain a healthy environment, it is essential to predict the PM2.5 value with great accuracy. We used different supervised machine learning algorithms based on regression and classification to accurately predict the daily PM2.5 values. In this study, several meteorological and atmospheric variables were retrieved from the Texas Commission of Environmental Quality’s monitoring stations corresponding to 2014–2019. These variables were analyzed by six different machine learning algorithms with various evaluation metrics. The results demonstrate that ML models effectively detect the effect of other variables on PM2.5 and can predict the data accurately, identifying potentially risky territory. With an accuracy of 92%, random forest performs the best out of all machine learning models

Oral Polio Vaccine Campaigns May Reduce the Risk of Death from Respiratory Infections

Oral polio vaccine (OPV) campaigns, but not other campaigns, have been associated with major reductions in child mortality. Studies have shown that OPV reduces the risk of respiratory infections. We analysed the causes of death at 0–2 years of age in Chakaria, a health and demographic surveillance Systems in Bangladesh, in the period 2012–2019 where 13 national campaigns with combinations of OPV (n = 4), vitamin A supplementation (n = 9), measles vaccine (MV) (n = 2), and albendazole (n = 2) were implemented. OPV-only campaigns reduced overall mortality by 30% (95% confidence interval: −10–56%). Deaths from respiratory infections were reduced by 62% (20–82%, p = 0.01) in the post-neonatal period (1–35 months), whereas there was as slight increase of 19% (−37–127%, p = 0.54) for deaths from other causes. There was no benefit of other types of campaigns. Hence, the hypothesis that OPV may have beneficial non-specific effects, protecting particularly against respiratory infections, was confirmed

Exposure to environmentally relevant phthalate mixture during pregnancy alters the physical and hemato-biochemical parameters in Black Bengal goats

Several environmental pollutants, mostly chemicals and plasticizers, have an effect on the reproduction of small ruminants, causing abortion, delayed estrus, and decreased fertility. Phthalates are common in our environment and have been identified as endocrine disrupting chemicals (EDCs). The research work investigated the impact of dietary exposure to a phthalate mixture on physical and hemato-biochemical parameters in pregnant Black Bengal (BB) goats. A total of 20 clinically healthy, 1–2 months pregnant, aged 6–8 months with a body weight of 10–12 kg BB goats were collected and divided into two (n = 10) groups. The treatment group received a standard goat ration with a combination of different phthalates mixture while the control group was provided the same ration with the vehicle of aphthalatemixture until parturition. The physical parameters were measured with appropriate tools and blood samples were collected for hemato-biochemical tests. The results showed that the physiological parameters (body condition score, respiration rate and heart rate) were significantly (P < 0.05) reduced in phthalate-exposed goats without altering rectal temperature and rumen motility. The hematological parameters: RBC count, WBC count, hemoglobin concentration, hematocrit values and RBC indices were significantly (P < 0.05) lower in phthalate-exposed goats. Phthalate-exposed BB goats had significantly (P < 0.05) higher neutrophil and lower lymphocyte counts. Serum glucose, total protein, albumin and total cholesterol levels were significantly (P < 0.05) lower in phthalate-exposed BB goats but higher the values of aspartate aminotransferase (AST), alanine aminotransferase (ALT) and blood urea nitrogen (BUN) levels in treated BB goats. It may be concluded that exposure to a phthalate mixture during pregnancy alters the physical, hematological and biochemical parameters in BB goats

The COVID-19 Pandemic in South Asia: A Comprehensive Review of the Genomic Variations, Epidemiological Features, Diagnosis, Treatment and Preventive Schemes

Purpose: The purpose of the study was to outline the genomic and epidemiological characteristics of COVID-19 in South Asian countries as well as the diagnosis, treatments, and prevention approaches undertaken by these countries to tackle the COVID-19 pandemic. Design/Methodology/Approach: We searched electronic databases such as Google Scholar, PubMed, and Scopus as well as various national and international COVID-19 websites, WHO databases, and electronic media. Total 63 articles were selected from databases and 34 articles from various other sources. Findings: Scientists observed genomic variations including common mutations in ORF1ab, ORF1a, ORF3a, and S genes, while several unique mutations exist in most isolates from these countries. Demographic analysis showed that the majority of the infected individuals were male and younger adults (20 to 40 years). India had both the highest number of deaths and incidents while Afghanistan had the highest fatality rate (4.37%). Various molecular assay (rRT-PCR), antigen, and antibody-based assays have been developed to facilitate early screening due to the unavailability of any effective treatments. Although every country tried to undertake imperative preventive measures along with vaccination drives, many of them still face grave repercussions due to scarcity of health facilities, under-developed infrastructures, and improvident government policies. Originality/value: To our knowledge, this is the first review appraising various features of the virus and the disease that persists in South Asia, and actions undertaken by authorities of the countries. This review will facilitate timely interventions for future novel outbreaks in the region