Different Regions Of Bangladesh Research Articles

Synergistic Antifungal Activity of Green Synthesized Zinc Oxide Nanoparticles and Fungicide Against Rhizoctonia solani Causing Rice Sheath Blight Disease.

The biosynthesis of metal oxide nanoparticles using leaf extract of medicinal plants is a promising substitute for the traditional chemical method. This work aimed to synthesize zinc oxide nanoparticles using a green approach from local "Dholkolmi" (Ipomoea carnea) leaf extract which is a medicinal plant growing outside the roads of different regions of Bangladesh. The biosynthesized zinc oxide nanoparticles (ZnONPs) were characterized using ultraviolet-visible spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction, particle size analyzer, zeta-potential, scanning electron microscopy-energy dispersive spectroscopy, field emission scanning electron microscopy, and transmission electron microscopy. The results of UV-visible spectrophotometers observed an absorption peak at 373 nm wavelength, which confirmed the synthesis of ZnONPs in the solution. ZnONP sizes determined by XRD, DLS, and TEM are approximately ~37 nm, 105.61 nm, and 19.66 nm, respectively. ZnONPs were present because of the strong oxygen and zinc signals in the EDX profile. Additionally, this research assessed the antifungal activity of the biosynthesized ZnONPs and as well as folicur-incorporated ZnONPs against Rhizoctonia solani by the poison bait technique. According to the result of this study, ZnONPs synthesized from Ipomoea carnea leaf extract showed no promising result against Rhizoctonia solani mycelial growth reduction. But folicur-incorporated ZnONPs revealed a significant finding with a maximum 100% inhibition of mycelial growth at 1:1 and 3:1 ratio of ZnONPs with folicur fungicide under in vitro conditions. In the net house experiment, folicur-incorporated ZnONPs at a 1:1 ratio of ZnONPs with folicur showed considerable disease inhibition (26.96% RLH) as compared to disease control (52.83% RLH). In the case of rainfed transplanted Aus (March-June), the highest percentage of RLH was recorded in disease control (64.61%), and the lowest RLH was found in folicur (24.79%) followed by a 1:1 ratio of ZnONPs with folicur (32.10%) in field condition. On the other hand, the highest percentage of RLH was recorded in disease control (65.31%) and the lowest RLH was found in folicur (18.14%) followed by a 1:1 ratio of ZnONPs with folicur (21.39%) in rainfed transplanted Aman (July-November) season. The findings of the in vitro and in vivo studies provided evidence that ZnONPs and folicur had a strong synergistic antifungal impact and may be employed as a possible rice sheath blight disease management agent.

Investigation of SARS-CoV-2 infection in domesticated animals from COVID-19 affected households in Bangladesh

The emergence and rapid global spread of the novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has sparked significant interest in understanding its zoonotic origins. This study aims to investigate animal and environmental samples in Bangladesh to identify the zoonotic source and reverse zoonosis of SARS-CoV-2. This research adopted a comprehensive approach to gather and analyze samples from various animal species, including cattle, sheep, goats, cats, and dogs that are peridomestic in nature or remain in close contact, ensuring biosafety and avoiding cross-contamination. SARS-CoV-2 or related coronaviruses were identified using immunological detection and real-time reverse transcription-polymerase chain reaction (RT-qPCR). A total of 1028 samples from different regions of Bangladesh were collected from cattle (552), sheep (135), goats (112), cats (118), and dogs (111), of which 465 were rectal, 363 nasal swabs, and 200 blood samples. The samples were collected from those areas where there were human records of COVID-19 during July 2021- December 2022. The blood samples were collected and immediately used for antibody screening. No positive samples were found in both antibody test screens and RT-qPCR in fecal and nasal swab samples. The study indicated no COVID-19 infection was found in domestic animals and pets despite staying in close contact with COVID-19 patients or households, suggesting a limited risk of transmission from these animals to humans within the studied context. It's possible that domestic animals are not significantly involved in the COVID-19 epidemic in natural environment exposure conditions.

Influence of halal marketing on intention towards halal cosmetics: halal awareness and attitude as mediators

PurposeThe purpose of this study is to examine how halal marketing affects intention and to assess the mediating effects of halal awareness and halal attitude on the relationship between halal marketing and intention towards halal cosmetics.Design/methodology/approachThis study adopted a quantitative methodology and used a convenience sampling approach to acquire data from 266 respondents from different regions of Bangladesh. The survey was conducted from December 2022 to February 2023. The data were analysed and hypotheses were tested using partial least square structural equation modelling.FindingsThe findings suggested that all the formulated hypotheses were significant, indicating that halal marketing positively influenced intention towards halal cosmetics. Moreover, the relationship between halal marketing and consumers’ intentions to buy halal cosmetics was mediated by halal awareness and attitude.Practical implicationsThe practical implications of this study are pertinent for Bangladeshi marketers of halal cosmetics. The results of this study will enable the manufacturers and marketers in the halal cosmetics industry to better target their respective customer base. The findings suggest that marketers of halal cosmetics should focus on creating awareness and fostering positive attitudes towards halal products among consumers.Originality/valueThis research has incorporated and tested the impact of halal awareness and halal attitudes as mediating constructs on intention towards halal cosmetics and found both constructs exert a statistically significant impact. Moreover, this paper investigated the halal marketing construct as a higher-order construct consisting of different components of marketing, while previous studies have been found to consider halal marketing as a first-order construct.

Phonological variation and linguistic diversity in Bangladeshi dialects: An exploration of sound patterns and sociolinguistic significance

This paper explores how people in different parts of Bangladesh talk differently from each other. The study pays special attention to the unique sounds in their dialects compared to the standard Bangla language. The main goal of the research is to understand why these sounds change from one dialect to another. The researchers collected data from 70 participants coming from 20 regions of Bangladesh, who were fluent in their regional dialects and studied it carefully. By employing semi-structured interviews, IPA transcription, and thorough verification processes, this study ensures the accuracy and reliability of its findings and discussion, contributing valuable insights into the phonological diversity of Bangladeshi dialects and their socio-linguistic significance. The authors found 13 phonological variations or patterns among the dialects of different regions of Bangladesh. Each type of change is explained with clear examples to make it easier to understand. The research contributes significantly to the understanding of socio-linguistic diversity in Bangladesh by providing experimental evidence of phonological variation and its determinants. It also lays the groundwork for future research on dialects and their relationship with the standard language. This study will bring up a greater appreciation for Bangladesh’s linguistic diversity and encourage further research into language variation and change.

Teacher’s Perceptions and Hesitancy: Integrating ChatGPT as a Tool in English Language Learning

Incorporation of innovative technologies has acquired importance for enhancing pedagogical strategies for effective language learning. This study explored the perceptions and hesitancies of English teachers in Bangladesh regarding the integration of ChatGPT as a language learning tool. Thirty-one English teachers from diverse educational institutions of high school and above across different regions of Bangladesh were recruited for the study in August 2023. A structured questionnaire was designed and utilized to elicit socio-demographic information, perceptions and hesitancy of these teachers towards adoption of ChatGPT as a language learning tool. Data analysis was carried out using SPSS. Almost 80% participants were willing to recommend the use of ChatGPT to other English teachers yet hesitant about it. Familiarity with ChatGPT, confidence in incorporating ChatGPT into their English lessons (p0.001) were found to be positively correlated with the positive attitudes towards its integration. Teachers less likely to encourage students to use ChatGPT for English language learning outside the classroom are more hesitant to adopt Chatbot GPT in their teaching practice (p = 0.004). A consistent pattern of positive agreement among participants was seen regarding the willingness to receive professional training on ChatGPT. The findings of this pilot study shed light on the initial attitudes of English teachers in Bangladesh towards incorporating ChatGPT in language learning. While some displayed enthusiasm due to its potential benefits, others expressed hesitations regarding its impact on traditional teaching methods. The outcomes highlight the need for further exploration and teacher training in integrating such technologies effectively.

Comparative evaluation of physicochemical and antimicrobial properties of rubber seed oil from different regions of Bangladesh

In Bangladesh, the annual production of rubber seeds is typically left untapped although the seeds contained a high percentage of oil but underutilized without any value-added utilization. This study aims to evaluate the geographical effect on physicochemical properties, fatty acid composition and the antimicrobial activity of oil extracted from rubber seeds. Seeds were collected from three different regions of Bangladesh and the oil was extracted by the soxhlet method using n-hexane as a solvent. Results demonstrated that the geographical regions have some significant effect on the properties of rubber seed oil (RSO). The physicochemical properties of RSO varied from region to region. For example, the percent of yield, higher heating value, and flash point varied from 50.0 to 50.8 %, 31.8–33.3 kJ/g, and 237–245 °C, respectively. The chemical parameters, such as acid value, iodine value, and hydroxyl value varied from 13.3 to 18.2 mg KOH/g, 132–137 g I2/100g, and 47.7–55.8 mg KOH/g, respectively. Chromatographic analysis showed that RSO mainly contains palmitic, linoleic, linolenic, and stearic acid. Regional variations were also seen in the composition of these fatty acids. Most notably, regardless of the rubber seeds collected from various locations, RSO exhibited inhibitory activity against only gram positive bacteria. The zone of inhibition range for different tested gram positive bacteria was 2.33–11.17 mm irrespective of different RSO samples.

Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach

Short-term load forecasting (STLF) plays a crucial role in the planning, management, and stability of a country’s power system operation. In this study, we have developed a novel approach that can simultaneously predict the load demand of different regions in Bangladesh. When making predictions for loads from multiple locations simultaneously, the overall accuracy of the forecast can be improved by incorporating features from the various areas while reducing the complexity of using multiple models. Accurate and timely load predictions for specific regions with distinct demographics and economic characteristics can assist transmission and distribution companies in properly allocating their resources. Bangladesh, being a relatively small country, is divided into nine distinct power zones for electricity transmission across the nation. In this study, we have proposed a hybrid model, combining the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU), designed to forecast load demand seven days ahead for each of the nine power zones simultaneously. For our study, nine years of data from a historical electricity demand dataset (from January 2014 to April 2023) are collected from the Power Grid Company of Bangladesh (PGCB) website. Considering the nonstationary characteristics of the dataset, the Interquartile Range (IQR) method and load averaging are employed to deal effectively with the outliers. Then, for more granularity, this data set has been augmented with interpolation at every 1 h interval. The proposed CNN-GRU model, trained on this augmented and refined dataset, is evaluated against established algorithms in the literature, including Long Short-Term Memory Networks (LSTM), GRU, CNN-LSTM, CNN-GRU, and Transformer-based algorithms. Compared to other approaches, the proposed technique demonstrated superior forecasting accuracy in terms of mean absolute performance error (MAPE) and root mean squared error (RMSE). The dataset and the source code are openly accessible to motivate further research.

Comparative study of pure RCC and graded RCC cattle through software based recording system in different regions of Bangladesh

Recording systems are important to maintain data properly with a view to justifying the merits of productive and reproductive parameter as well as pedigree evaluation, towards any decision making pathway. Considering this, the current research was conducted to assess the computer and mobile software based animal recording system, which have important effect on production and reproduction on Red Chittagong cattle and their graded cattle. For this reason, this survey was conducted at well-developed pre-tested questionnaire through mobile application software under thirteen study areas. The study areas were selected based on the density of Red Chittagong Cattle population in those areas. After data collectionollected data were analyzed using SPSS 22.0 software and mean comparisons were estimated by LSD and Duncan method. Numbering (highest-11.32% at Godagari, lowest at Naikhongchari-4.25%), Artificial Insemination (highest 20% at Godagari and lowest at Naikhongchari-1%), service per conception rate (highest at Sylhet-1.37 and lowest at Swandip-1.14), calving rate (highest 12.34% at Anowara and lowest 4.20% at Keshobpur) and birth weight (highest 16.50±0.57 kg at Hathazari and lowest 12.79±0.49 kg at Godagari) were different in each regions. Lactation length, milk yield, and growth rate of two category cattle were found statistically significant (P<0.05) between two groups of cattle. These three productive parameters were higher for Red Chittagong Cattle (230±5.16 days, 3.10±0.13 L/day, 0.197 kg/day) respectively. The software based recording system helps to get proper data which will help for selection of superior sires and dams with high genetic merit as well as data can be restored anytime from this software based recording system. Asian Australas. J. Biosci. Biotechnol. 2023, 8(3), 70-77

A Comparative Analysis of the Climate Patterns of Comilla District with Different Regions of Bangladesh: A Study of Temperature and Rainfall Trends

According to the global climate change index, Bangladesh has been identified as one of the countries facing the most vulnerability from climate change. In this proposed research, a comparative climate change trend analysis was done on various temperature and rainfall criteria for three climatic zones of Bangladesh (i.e., Comilla, Ishwardi, and Cox’s Bazar). The weather data was collected from the Bangladesh Meteorological Department (BMD), which covers the years 1950–2020 except Ishwardi station starts from the year 1961. The linear trend analysis revealed that the temperature was increased in all study stations, but Comilla station showed less increment in maximum 0.511°C and in minimum 0.546°C temperature compared to the other station. On the other hand, the Mann-Kendall trend analysis test found that the amount of rainfall that fell each year in Ishwardi, and Comilla was going down but is increasing in Cox's Bazar in Mk test 0.735. So far, the magnitude of change assessed by Sen’s Slope estimates also indicated the same trend direction for rainfall analysis with -1.67, 2.28, -7.00 Ishwardi, Cox’s Bazar and Comilla respectively. Overall, the study found that the climate pattern of the Comilla district is much better for people and farming activities than the other two regions of Bangladesh. It never falls into an extreme situation in temperature, neither during summer nor in winter. It is also neither wet nor dry.

Evaluation of Betel Nut Germplasm in Barishal Region

The field evaluation of betel nut germplasm was conducted at Regional Agricultural Research Station, Bangladesh Agricultural Research Institute (BARI), Rahmatpur, Barishal all the year round during three consecutive years of 2019-22 to select suitable entry (ies) for releasing as new variety (ies) for Barishal region. Seven entries of betel nut viz., E1 (AC Rah-01), E2 (AC Rah-02), E3 (AC Rah-03), E4 (AC Rah-04), E5 (AC Rah-05), E6 (AC Rah-06) and E7 (AC Rah-07) were used as testing materials. The germplasm had been collected from different regions of Bangladesh since 1973. Three years average results showed that significant variations were observed among the evaluated betel nut germplasm. The maximum fresh and dry nut yield with husk (34.48 and 12.07 t/ha, respectively) was obtained from AC Rah-02 that was identical to AC Rah-01 (28.24 and 10.57 t/ha, respectively). Results revealed that the three years average yield performances of AC Rah-02 and AC Rah-01 were higher compared to that of other tested entries. Maturing condition of AC Rah-01 was late but early maturity was observed in AC Rah-02 and other tested entries. Nut shapes of AC Rah-01 and AC Rah-02 were oblong and oval, respectively. The laboratory analyses results revealed that alkaloids that caused oral cancer was less (3.95 mg/g) and the Ferric Reducing Antioxidant Power that cures the disease was higher (10.20 mgAAE/g) in AC Rah-01. The amount of total alkaloids (1.35%) and Arecoline content (4.69 mg/g) that cause cancer in the mouth were lower in AC Rah-02. Considering yield potentiality, maturity condition (late and early), lower incidences of insect-pest and diseases, and biochemical properties (higher Antioxidant power and lower contents of Alkaloids or Arecoline), AC Rah-01 and AC Rah-02 have been selected as promising entries of betel nut towards releasing new varieties for Barishal region of Bangladesh. Bangladesh J. Agril. Res. 47(3): 291-302, September 2022

Trends of Proton Pump Inhibitor Uses among Pharmaceutical Promotional Workers

Background: Proton pump inhibitors (PPIs) are one of the most frequently used drugs in the world for the management of gastric- acid related diseases. The aim of this study was to assess the trend of PPIs uses among the pharmaceutical promotional workers in Bangladesh. Methods: A questionnaire-based survey was conducted on pharmaceutical promotional workers from different regions in Bangladesh. The study data were collected which includes demographics, PPIs uses in terms of duration, dose, generics, symptoms for which they took PPIs and effects of PPIs on symptoms. Drugs or diseases that influenced the intake of PPIs were also recorded. Results: Among six hundred surveys issued for the study, 581 valid questionnaires were returned. Among the respondents 520 individuals (89.5%) were male and 61 individuals (10.5%) were female. Common indications for taking PPIs were abdominal discomfort (51.5%), vomiting (34.1%) and abdominal pain (24.6%). Two hundred seventy (48.56%) respondents had satisfactory relief of symptoms, 125 (22.48%) had symptoms reappeared after stopping PPIs and 77 (13.85%) had complete cure of symptoms. Most of the participants (42.60%) were on PPIs therapy for up to one year. Most of the participants (64.49%) took PPI once daily. Most of the participants (60.75%) started PPI by themselves. Esomeprazole (40.1%) and rabeprazole (30.1%) were the most frequently used PPIs. Conclusion: PPI is found to be a frequently used medication among pharmaceutical promotional workers. Further well-designed study with adequate work up may be designed to see misuse and overuse of PPI among workers of pharmaceutical sector as well as general population. Sir Salimullah Med Coll J 2023; 31: 41-46

Measles Infection and Vaccination Status against Measles in Children during 2019-2020: A Hospital Based Study in Chattogram

Background: Despite widespread availability of a safe and cost-effective vaccine, Measles outbreak is reported from different regions of Bangladesh in the recent past. This study was aimed to Identify the related features of Measles infection in children during the upsurge of Measles infection in Chattogram during 2019-2020, when Bangladesh was about to achieve Measles elimination.
 Materials and methods: This prospective observational study included all the Measles infected children admitted in the Pediatric Ward of Chittagong Medical College Hospital, Chattogram during the period from September 2019-February 2020. In this hospital patients up to 12 years after neonatal period are admitted. Patients whose guardian did not give consent were excluded. Measles cases were diagnosed clinically according to case definition criteria by WHO. Demographic, clinical features, Measles vaccination status of both affected children & their mother and associated complications were recorded in a predesigned form. Data were analyzed and results were given in a tabulated form. The aim of this study was to evaluate the characteristics of Measles infection and their vaccination status in children during its upsurge in 2019-2020.
 Results: Affected children 13(20%) were suffered in spite of vaccination. Among the 65 affected children 44 (67.6%) were below one year of age, youngest one was 2 months old. Male to female ratio was 1.8:1. 80% (n=52) children were not vaccinated, 35 of them not yet attained the age of vaccination. 17 children attained the age but vaccination was delayed due to cough and cold, fever, bronchopneumonia or Measles itself. Complications were common among them, Bronchopneumonia 47 (72.3%) and Purulent conjunctivitis 38 (58.5%). There was no case fatality.
 Conclusion: Children are being affected by Measles before attaining the age of first dose of vaccination and incompletely vaccinated or unvaccinated children have a role in the upsurge of Measles.
 Chatt Maa Shi Hosp Med Coll J; Vol.22 (1); January 2023; Page 33-37

Predicted changes in future precipitation and air temperature across Bangladesh using CMIP6 GCMs

Understanding spatiotemporal variability in precipitation and temperature and their future projections is critical for assessing environmental hazards and planning long-term mitigation and adaptation. In this study, 18 Global Climate Models (GCMs) from the most recent Coupled Model Intercomparison Project phase 6 (CMIP6) were employed to project the mean annual, seasonal, and monthly precipitation, maximum air temperature (Tmax), and minimum air temperature (Tmin) in Bangladesh. The GCM projections were bias-corrected using the Simple Quantile Mapping (SQM) technique. Using the Multi-Model Ensemble (MME) mean of the bias-corrected dataset, the expected changes for the four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) were evaluated for the near (2015–2044), mid (2045–2074), and far (2075–2100) futures in comparison to the historical period (1985–2014). In the far future, the anticipated average annual precipitation increased by 9.48%, 13.63%, 21.07%, and 30.90%, while the average Tmax (Tmin) rose by 1.09 (1.17), 1.60 (1.91), 2.12 (2.80), and 2.99 (3.69) °C for SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5, respectively. According to predictions for the SSP5-8.5 scenario in the distant future, there is expected to be a substantial rise in precipitation (41.98%) during the post-monsoon season. In contrast, winter precipitation was predicted to decrease most (11.12%) in the mid-future for SSP3-7.0, while to increase most (15.62%) in the far-future for SSP1-2.6. Tmax (Tmin) was predicted to rise most in the winter and least in the monsoon for all periods and scenarios. Tmin increased more rapidly than Tmax in all seasons for all SSPs. The projected changes could lead to more frequent and severe flooding, landslides, and negative impacts on human health, agriculture, and ecosystems. The study highlights the need for localized and context-specific adaptation strategies as different regions of Bangladesh will be affected differently by these changes.

An observation toward Computer aided processes in Garments production. Comparison and analysis of CAD/CAM Software in Bangladesh

This research paper inquires about different attributes of Computer-aided processes in garments production. This perspective Research was done by our courageous team from 2021 to 2022. It reveals adequate information on the Garments industry's Intension and criteria for choosing CAD/CAM software. For the sake of this Research, we visited more than 600 industries to gather raw data; Every Industry tried to attend this Research from a different region of Bangladesh willingly. After collecting all raw data from the garments industry. The data of the Garments industry was coordinated by Excel program. Consequently, the data was analyzed and implemented statistically to identify the Garments Industry attribute for satisfaction with CAD/CAM software. This process also detects many challenges and defines and advises a proper solution to the problems that the Garments industry is facing in the current situation. This research paper demonstrates adequate information about the Garment's criteria and demand in purchasing garments Computer-aided software.

EXPLORING SOCIAL INFLUENCE FACTORS IN UNIVERSITY CHOICE DECISIONS AMONG COLLEGE STUDENTS IN BANGLADESH: A QUALITATIVE STUDY

This qualitative study aims to explore the social influence factors that shape university choice decisions among college students in Bangladesh. Data were collected through semi-structured interviews with 30 college students from five different regions in Bangladesh. The findings suggest that social influence factors, particularly family and parental influence, play a significant role in shaping university choice decisions. Peer influence, teachers and counselors influence, media influence, and cultural and societal influence were also found to be important factors. These findings have important implications for universities, policymakers, and other stakeholders who seek to attract and retain students. Understanding the factors that shape students’ decision-making can inform the development of targeted marketing and recruitment strategies and policies that promote educational equity and access.

Unlocking the resource potential of livestock waste in Bangladesh

AbstractCurrently, the livestock sectors of Bangladesh are blooming at an incredible rate. In addition to the higher economic gain from this sector, the burden of managing a vast amount of waste has attracted the attention of environmentalists. Producing biogas and resource recovery can be a valuable solution to manage these wastes and produce clean energy. The present analysis aims to determine the bioresource potential of livestock waste in all divisions of Bangladesh. Total biogas, bioelectricity, biofertilizer, methane, and heat energy generation potential are estimated for 2020–21. Prospective manure production from livestock waste was highest in Dhaka (50.53 Mtyr−1) and lowest in Sylhet (14.51 Mtyr−1). It is estimated that 17652.2 million m3 of biogas could have been produced from only livestock manure. The total biogas potential from livestock waste was 25520.9 million m3 in 2020–21. Prospective annual methane production was 15277.3 million m3, while 467.4 petajoules of heat energy could have been produced from this sector. The estimated bioelectricity potential was 45.4 terawatts. hours (TWh), while annual biofertilizer production could be 29.81 million tons. Using biomethane in place of diesel could avoid yearly greenhouse gas (GHG) emissions of 42,500 kilotons of CO2 equivalent and reduce 28,800 kilotons of CO2 in Bangladesh. The outcome of this study can serve as a benchmark guideline for potential investors and policymakers to ensure optimal investment to produce bioenergy from livestock waste in different regions of Bangladesh.

STARTING POINT OF BUCKWHEAT BREEDING IN BANGLADESH

Buckwheat is not commonly cultivated in Bangladesh because it is an ancient minor crop. Common buckwheat is familiar as a rabi season crop and is rarely cultivated in some areas of northern part in Bangladesh. Henceforth, organized research improvement has not been established yet on buckwheat and so research information about buckwheat breeding is very limited. Again no developed variety available in Bangladesh. The varieties which are being cultivated in farmer’s level are actually local cultivar. Bangladesh Agricultural Research Institute (BARI) started working on buckwheat with five genotype, since 2018 and collected from PGRC, BARI. Characterization, different yield trial in different regions of Bangladesh have been conducted for selection of promising genotype.

Socio-Economic Structure & Sustainable Development of Indigenous Society: A Study on the Munda Community

There are 50 indigenous or minority ethnic groups scattered across different regions of Bangladesh, of which the Mandas are a community. The Munda community has been living in the areas adjacent to the Sundarbans of Khulna and Satkhira districts for hundreds of years. Originally, their forefathers were the ones who cut down the forest and made the land suitable for cultivation without caring about the roar of the tiger and the snake. The ancestors of the Munda’s played a major role in cutting down the forests in the area surrounding the present Sundarbans and making them suitable for human settlement. The number of Munda’s scattered in the Sundarbans and its surrounding areas is decreasing day by day due to various types of adverse environment. On the other hand, the Munda’s own culture is also under threat due to the influence of Bengali culture. The main aim of this research is how to develop sustainable development of the Munda community from their current socioeconomic structure in view of the current condition of the Munda community. The study is mainly quantitative in nature. Koira and Dumuria upazila of Khulna district and Shyamnagar, Debhata and Tala upazila of Satkhira district were selected through convenient sampling technique for the purpose of collecting primary data, because a large part of Munda community lives in these areas. Structured questionnaire was used to collect data from 250 respondents from five preselected areas. The respondents were selected using simple random sampling technique. Data was analyzed in terms of statistical indicators of frequency and percentage. The results of the study show that social indicators, Economic indicators and Cultural factors are very weak among the Munda community. Among the social indicators, Munda women and men have very little interest in following hygiene rules (Sanitation, Birth Control). Economic indicators show Income Source, Jobs Opportunity Munda community is facing many challenges recently. Many educated boys and girls of the Munda community spend their days in agony due to lack of suitable jobs which has a negative impact on everyone in the community. Cultural factor shows that the Munda community, which is plagued by poverty, can celebrate its cultural events in a grand manner, so that other communities or ethnic groups do not get any idea about their culture. This research will be of great help to those who work with the indigenous communities of Bangladesh, especially the various ministries of the government, NGOs, policy makers, government and private research organizations will be benefited.

Development and Evaluation of a Portable Iron Removal Plant (PIRP) for Drinking Water

Safe and clean drinking water is the prerequisite for survival and has a significant impact on daily life. The existing higher concentrations of iron in groundwater in different regions of Bangladesh, including Sylhet, cause significant health issues for the concerned community. To address this problem, a lab-scale Portable Iron Removal Plant (PIRP) was developed to remove iron from drinking water. It includes downward free-flow aeration, sedimentation, and up-flow filtration using filter media like vit sand (8 cm), fine sand (5 cm), foam (1.2 cm), stone (4 cm), and jhama (2 cm), with a total depth of 20.2 cm. A total of 7 iron-contaminated water samples were collected from 7 different deep tube-wells from Sylhet Agricultural University (SAU) campus. The samples were tested for iron concentration before and after filtration through PIRP. Water Quality Index (WQI) was determined using Weighted Arithmetic (W.A.) method. Iron concentrations of the samples before filtration were 1.61, 5.00, 1.69, 1.88, 1.97, 1.69, and 1.82 mg/L, which reduced to 0.55, 0.58, 0.91, 0.13, 0.67, 0.28 and 0.36 mg/L, respectively after filtering through the PIRP. Maximum iron removal efficiency of the PIRP was 93.09%, with the average efficiency 75%, which is satisfactory in comparison to other studies. The PIRP could be a sustainable alternative with further improvement for its easy operation and maintenance, and utilization of low-cost components (e.g., natural aerations, low-cost filtering agents, etc.).

Human Body Shape Variation of Bangladeshi Young Men Aged 20 -25 Years

Introduction: Describing the varieties of the human body shape is in a general sense essential to numerous applications going from liveliness to item plan. This research is aimed to develop the types of men’s human body shapes available in Bangladesh. Methods: Bangladesh has more than 5000 garment factories. To create a loyal customer and own brand in Bangladesh it is very much important to have a specific size chart for this country. To develop a specific size chart, the 1st attempts to detect the body shape variation. Results: In this research, the authors took 500 men’s human body from different regions of Bangladesh to detect the human shape. Most of the body age is limit to 20-25 years old. After putting all the summarized data in the X and Y graph the author tries to detect the body shape types available in Bangladesh. Conclusion: The final results of this research will help to develop the size chart individually for different types of men’s body.