Search Results - "Gang Signs

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    Biological aspects of the critically endangered fish, Labeo boga in the Ganges River, Northwestern Bangladesh by Md. Yeamin Hossain, Sharmin Jahan, Md. Abu Sayed Jewel, Md. Mosaddequr Rahman, Mst. Monira Khatun, Saleha Jasmine

    Published 2015
    “…In addition, the Wilcoxon signed rank test showed that the WR did not differ from 100 for males and females in this study indicating good condition of habitat for L. boga. …”
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    Building construction labour productivity in arid climate environment by Bhatti, Imtiaz Ali, Abdullah, Abd Halid, Nagapan, Sasitharan, BHATTI, Nabi Bux, Lakhiar, Muhammad Tahir, MAHAR, Muntazir Mahdi

    Published 2019
    “…The results show that average monthly production of mason gang was recorded with less production of 28.759%, Carpentry gang with average monthly loss of production 16.74% & steel fixer gang had average monthly loss of production was 12.188. …”
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  5. 5

    Examining the linkages between street crime and selected state economic variables in Malaysia: a panel data analysis by Rusli Latimaha, Zakaria Bahari, Nor Asmat Ismail

    Published 2019
    “…Moreover, income inequality is only significant in terms of total street crime and unarmed robbery gang estimation models as well as GDP per capita and population in snatch and theft estimation models. …”
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  6. 6

    A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C by Gosling, Simon, Zaherpour, Jamal, Mount, Nick J., Hattermann, Fred, Dankers, Rutger, Arheimer, Berit, Breuer, Lutz, Ding, Jie, Haddeland, Ingjerd, Kumar, Rohini, Kundu, Dipangkar, Liu, Junguo, van Griensven, Ann, Veldkamp, Ted, Vetter, Tobias, Wang, Xiaoyan, Zhang, Xinxin

    Published 2016
    “…We present one of the first climate change impact assessments on river runoff that utilises an ensemble of global hydrological models (Glob-HMs) and an ensemble of catchment-scale hydrological models (Cat-HMs), across multiple catchments: the upper Amazon, Darling, Ganges, Lena, upper Mississippi, upper Niger, Rhine and Tagus. …”
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