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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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DOI
28 Oct 2019
TL;DR: The objective of the study was to conduct a nutritional analysis of a small indigenous fish species, striped spiny eel: Macrognathus pancalus, locally known as Pakal fish, which showed that the moisture percentage was about 77%; ash percentage wasAbout 2%; crude protein percentage was (18%); crude lipid percentage was 3%.
Abstract: The objective of the study was to conduct a nutritional analysis (proximate composition and mineral composition) of a small indigenous fish species, striped spiny eel: Macrognathus pancalus . It is locally known as Pakal fish. Fish specimens were obtained from the local markets (Boro bazar, Jhikorgacha market, Doratana market) of Jashore district. All the nutritional analysis was done by standard AOAC methods. Findings from the study showed that the moisture percentage was about 77%; ash percentage was about 2%; crude protein percentage was (18%); crude lipid percentage was 3%. Fe content of the fish sample was 0.62mg/100g and Ca content was 0.13mg/100g of fresh sample.
Journal ArticleDOI
20 Nov 2019
TL;DR: Ara et al. as mentioned in this paper investigated the effective condition for the decomposition of methyl orange (MO) in the presence or absence of additives and found that the rate of MO decomposition can be effectively enhanced by the sonolysis of CCl4 and also for H2O2.
Abstract: Methyl orange (MO) is an orange azoic dye; which has transition range from 3.1 to 4.4. Sonochemical decomposition of methyl orange in the presence of H2O2 and CCl4 has given effective result to reclaim water from the effluents released by the industries. The aim of this research was to investigate the effective condition for the decomposition of MO in the presence or absence of additives. For this, 50 mg/L solution of MO was sonicated in the presence and absence of different additives. It was clearly confirmed that the rates of sonochemical decomposition of MO Original Research Article Ara et al.; AJACR, 4(2): 1-10, 2019; Article no.AJACR.51710 2 increased with increasing the concentration in both cases of H2O2 and CCl4. The combination of advanced oxidation processes (AOPs) namely hydrogen per-oxide and carbon tetra-chloride with sonolysis harvests the decomposition of wide spectrum of organic contaminants. The combination of sonolysis with H2O2 and CCl4 enhances the production of non-selective radicals to improve the decomposition process. The AOPs is technically feasible and also economic. Based on the results, it was suggested that the rate of MO decomposition can be effectively enhanced by the sonolysis of CCl4 and also for H2O2. It was possible to include orderMO+200 μL H2O2 > MO+100 μL H2O2 > MO+20 μL H2O2 > MO; MO+200 μL CCl4 > MO+100 μL CCl4 > MO+20 μL CCl4 > MO.
26 Apr 2016
TL;DR: This paper focuses on user opinion for their hesitation to use Cloud Storage and why user feel unsecure and what are the factors for hesitation.
Abstract: Cloud Storage, today has become an integral part of IT related persons lives. It also use in many businesses institute to store their important data. But, they always concern about its security. User of Cloud Storage can’t use it without hesitation. So, it is important to know for provider and builder that why user feel unsecure and what are the factors for hesitation to use Cloud Storage. In this paper we focus on user opinion for their hesitation to use Cloud Storage.

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