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Institution

Jessore University of Science & Technology

Education
About: Jessore University of Science & Technology is a based out in . It is known for research contribution in the topics: Adsorption & Population. The organization has 811 authors who have published 974 publications receiving 10471 citations.


Papers
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Book ChapterDOI
01 Jan 2021
TL;DR: In this article, the influence of the socio-spatial distribution of cyclone shelters on evacuation decisions was investigated in the coastal belt of Bangladesh, where the authors employed a structured survey questionnaire, a total of 115 individual households were interviewed along with some key informants interviews.
Abstract: Considering Bangladesh as one of the most prone to cyclones, the government of Bangladesh and international cooperation agencies are trying to mitigate the damages and losses of cyclones through the construction of cyclone shelters in the coastal belt of the country. This research aims to find out the influence of the socio-spatial distribution of refuge shelters on evacuation decisions. An empirical study was conducted in Charmadras Union of the Charfasson Upazila of Bhola district in Bangladesh. Employed a structured survey questionnaire, a total of 115 individual households were interviewed along with some key informants interviews. The spatial distribution of the cyclone shelters is analyzed using the satellite image. Results show that the spatial distribution of cyclone shelter doesn’t affect the evacuation decisions, rather than a set of social factors influence on the people’s evacuation decisions. Among them, the decision making process of cyclone shelter and it’s location selection, better facilities in the shelter, in particular, the facilities for women, children and elderly people. Besides, access to information and individual household level risk perception and refugee preferences influence the evacuation decisions. Since cyclone shelter is one of the major programs of disaster risk reduction measures in Bangladesh, the study finding is helpful for future policy planning in the face of climate change.
Proceedings ArticleDOI
01 Sep 2018
TL;DR: This paper designs a protocol to securely outsourcing of large scale linear regression to cloud using the idea of permutation and padding techniques to hide the original inputs.
Abstract: Cloud Computing opens new door for the resource-contraints clients to reduce their burden of computation by outsourcing the computation. On the other hand, it is very expensive to compute the large scale linear regression locally but it has great advantages on statistics, economics and data analysis. So, in this paper we are motivated to design a protocol to securely outsourcing of large scale linear regression(LR) to cloud. We use the idea of permutation and padding techniques to hide the original inputs. Compared with previous outsourcing schema, our protocol is efficient with more secured and low complexity.
Journal ArticleDOI
TL;DR: Children were highly exposed to antibiotics, steroids and hypnotics in both private practice and hospital settings in Rajshahi city, Bangladesh, and medical practitioners should be aware of current guidelines for prescriptions of antibiotics and drugs in child.
Abstract: Objective: Aim of the study was to assess drug utilization among pediatric patients in both private practice and hospital settings in Rajshahi city, Bangladesh. Methods: This observational study was conducted during a period of two months (March to April) in 2017. Prescriptions were randomly collected from patients and recorded in a predesigned questionnaire form. The data analysis was carried out by using a statistical software package GraphPad Prism. Results: The study involved a total of 185 patients, of which 62.70% were male and 37.30% were female. The patient’s age ranges from 1 mo-12 y and highest number of patients visited physicians belong to group 1 mo-1 y (47.57%). Most commonly occurring disease conditions were pneumonia (24%), the leading cause of hospitalizations among the children's age group of 1 mo-1 y. The results indicated that physician’s handwriting was not clear and legible in 50 (27.03%) prescriptions. A total of 468 drugs were prescribed with an average of 2.53 per prescription. However, none of the drugs were prescribed by generic name. The most commonly prescribed drugs were antibiotics 173 (93.5%). About 78% patients were exposed to antibiotics, of which single antibiotic was prescribed in 116 (62.70%) and two antibiotics in 23 (12.43%) prescriptions. Among the drugs, NSAIDS 65 (35.14%), anti-histamine 57 (30.81%), anti-asthmatic 49 (26.49%) drugs were assigned in prescriptions followed by vitamin and minerals 51 (27.57%). Steroids 57 (30.81%) and hypnotics 26 (14.05%) were also accounted in many prescriptions. Interestingly, antibiotics were indiscriminately prescribed in private practices without any bacteriological examinations, whereas in hospital settings, most of the treatment was initiated after culture and sensitivity tests. Conclusion: Children were highly exposed to antibiotics, steroids and hypnotics in both private practice and hospital settings. So Medical practitioners should be aware of current guidelines for prescriptions of antibiotics and drugs in child.
Journal ArticleDOI
TL;DR: A pulsed direct current discharge ring-shaped plasma source has been proposed using single pole magnet arrangements, including a center magnet, with magnets in the setups (a): one circle, (b):... as mentioned in this paper.
Abstract: A pulsed direct current (DC) discharge ring–shaped plasma source has been proposed using single pole magnet arrangements, including a center magnet, with magnets in the setups (a): one circle, (b):...

Authors

Showing all 825 results

NameH-indexPapersCitations
Mohammad Tariqul Islam439279751
Md. Mustafizur Rahman413456462
Faisal Hossain382305251
Aminul Islam361003838
Md. Anwar Hossain331784174
M. Anwar Hossain25862744
B. K. Bala25452261
Md. Munjur Hasan25323637
Iqbal Kabir Jahid22531834
M A Hossain211491505
Md. Sazzad Hossain21563553
Md. Faruk Hossain201331542
Imran Khan191191240
A. A. Seddique18271718
Partha S. Biswas18751135
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202235
2021310
2020213
2019136
201871