The study was conducted in 2 ESBN fishing villages namely Kumira and another is South Kattoli coordinates namely, 22°30'58.9"N   and 91°41'37.1"E for Kumira and 22°21'06.6"N and 91°45'27.8"E for South Kattoli during January to December, 2005 and further study is conducted in January to June, 2018. It was found, in 2005 Kattoli and Kumira has largest portion of the 20-30 age group, 55% and 58% respectively and according to survey, in 2018 it was found 30-40 age group is dominant as 50% and 46% of total fisher population. The total family number of the study area is 580 in Kattoli and 550 in Kattoli in 2005 whereas; total family number of the study area is increasing in 2018. There are about 65% Hindu communities and 35% Muslim in Kattoli where Kumira comprises 80 % Hindu (jolodash) and 20% Muslim in 2005 where muslim population is incresasing in 2018. There are significant number of secondary education holder population is increasing in 2018 comparison to 2005. According to study, the total population of Kattoli were 867, out of which about 52% male and 48% female in 2005 and about 57% male and 43% female in 2018. In Kumira village, total population was 670, out of which about 60 % male and 40 % female in 2005 and about 55 % male and 45 % female in 2018. Concrete made building is increasing in 2018 in the study area. Shallow and deep tube well number is also increasing in study area. Use of utility electricity, television, cassette player/radio, VCR/CD player and mobile phone are also increasing in study area. Rich and moderate rich number is increasing in comparison with 2005. Visit to the MBBS doctor trend instead of quack doctor is increasing in study area. Daily meal uptake by thee meal has a increasing trend in the study area. Overall the wealth is increasing in the study area.

The present investigation was conducted from May to December 2005 at Kumira, the representative area of Chittagong coast for bio-socioeconomic analysis of ESBN fishery. In catch composition of Kumira, it was observed that finfish occupied 77.03 %, shrimp 19.82 % and crab 3.15 % and the average catch per boat per day were found 16.6 kg in Kumira. The highest total catch per boat per day (50 kg) was found in October at Kumira. The lowest catch was found (2 kg) in August at Kumira. The average total catch per landing center per month was found 14805 kg at Kumira. The average catch per fishermen per day was found 3.39 kg at Kumira and the average cost per boat per month was about 7,813 Tk in the study area. Average sale per month was found over 18,713 Tk in Kumira. During the month July and August most of the fishermen were engaged in Hilsa fishing with the Hilsa gill net resulting the total catch was with ESBN lowest in those months.Asian J. Med. Biol. Res. September 2018, 4(3): 315-322

Seasonal abundance of zooplankton in relation to different physico-chemical conditions of Kaptai lake has been studied. A total of four major groups of zooplankton were identified from study area of Kaptai lake during three seasons observation at pre-monsoon, monsoon and Post-monsoon. These four groups were categorized into rotifers, copepods, cladocerans and others (fish larvae, shrimp larvae, insects, mosquito larvae etc.). The mean abundance of group rotifers, copepods, cladoceras and others were 103, 84.67, 38.33 and 41.83 ind. L-1 respectively. The highest group was rotifers in terms of abundance and composition where compositions were recorded 38 % at three season’s observation. The lowest group was cladoceras in term of abundance and composition where compositions were recorded 14 %. The air temperature, water temperature, transparency, water pH, DO, BOD5, PO4-P, NO2-N, SiO3-Si, TSS, TDS, Alkalinity ranged between 21 and 27.50C, 23.5 and 31.50C, 0.8 and 3 m, 7.1 and 7.5, 5.72 and 8.58 mg/l, 8.55 and 12.87 mg/l, 3.22 and 4.13 μg/l, 0.992 and 1.19 μg/l, 161.18 and 201.15 μg/l, 0.28 and 0.48 g/l, 0.18 and 0.68 g/l, 40 and 60 ppm, respectively. Margalef richness index (d), Pielou’s evenness index (J'), Shannon-Wiener diversity index (H'), Simpson dominance index (λ) are analyzed by Primer V6 software to quantify the collected species. Through same software SIMPER, Cluster analysis also done to compare similarity between season. Asian J. Med. Biol. Res. December 2018, 4(4): 389-399

Shyamnangar upazila one of the potential developing upazila of Satkhira district. Addressing social aspects is very important for any sorts of development effort. The best possible use of land resources; therefore, the socio-economic aspects of Shyamnangar upazila have to be addressed to gain optimum economic benefits from agriculture, forestry, fisheries, tourism and industrial sector. The socio-economic transformation of this upazila significantly depends on the performance of the agricultural sector. Besides agriculture, fisheries, tourism, industry, weaving and livestock farming are also playing vital roles in the socio-economic development of this upazila. Although this upazila has not yet been experienced in planned industrialization but, there are some small and medium industries which are contributing largely to the socio-economic development. Over the last 10 years, the socio-economic condition of the upazila is gradually rising. The growing of small & medium industries, business associated with agricultural products are the key element of socio-economic growth of Shyamnagar. Over the last 10 years, the socio-economic condition of the upazila is gradually rising. The growing of small & medium industries, business associated with agricultural products are the key element of socio-economic growth of Shyamnagar. Asian Australas. J. Food Saf. Secur. 2020, 4 (2), 31-40