6 research outputs found

    Role of Multipurpose Projects on Distribution of Cropping Intensity and Canal Irrigation: A Study on DVC Projects of the Middle Damodar River Valley of West Bengal

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    The river valley projects with many objectives are called multipurpose project. Multipurpose project in the Damodar River played a major role not only as a flood controller but also as a source of canal irrigation. Middle and lower course of the river are the most prominent area where irrigation systems are largely controlled by DVC projects of Damodar River. Several canal systems has also developed after construction of dams in DVC project of Damodar River Valley. The study area falls under the area in between Panchet Dam and Burdwan Town. It is extended up to 23º28’ N to 23º41’N latitude and 86 º 44 ’E to 87 º 18’ E longitudes. Total length of the area is approximately 70 km. the avg. height of this area is 110 m from the sea level. To show the increase of Agricultural Land in downstream section Damodar River Basin, block wise Cropping Intensity distribution has been calculated for showing locational and temporal. In this river valley, the area under Agricultural Land has been drastically increased (15%) from 1990 to 2010 but there are slightly increase in the Built up areas. The western side of the basin have the low cropping intensity in the Burdwan District. Upper reaches are less fertile that is why production is also low and reverse condition are found in the lower reaches of the river basin area. The downstream of the river valley are pure alluvial track of the Ganga River system and this region are more fertile than the upstream region. Whole basin area is bounded with agricultural and industrial activities. Irrigation also can put impetus on the agricultural output of this valley region especially in the downstream areas of the valley. Thus the dams are severally interlinked with the human settlement and landscapes of the Damodar Valley Region. Keywords: Multipurpose DVC projects, Agriculture, Dam and Barrage, Land use/land cover change, Cropping Intensity, Damodar River Valle

    Cytological diagnosis of adamantinoma of long bone in a 78-year-old man

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    A clinicohistopathological study of a rare case of adamantinoma of long bone in a 78-year-old patient is presented. The cytological features when evaluated in conjunction with clinical and radiologic features are sufficiently diagnostic. The primary knowledge of its existence and knowledge of its cytological features are important for a correct preoperative cytological diagnosis

    Spectrum of hemoglobin variants in the population of northern region of West Bengal: An ethnogenetic proposition

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    Context: The birth of transfusion-dependent states of hemoglobinopathies including thalassemias is preventable by population screening and genetic counseling. Magnitude is not addressed in the Northern Region of West Bengal where many ethnic variants inhabit. Aims and Objectives: The aim of the following study is to find out the burden of different entities of hemoglobinopathies, their correlation with ethnicity and the "at risk" groups. Subjects and Methods: A descriptive study was conducted from the Hematology Unit of North Bengal Medical College over 1 year on the subjects underwent screening for hemoglobinopathies for detection of abnormal hemoglobin (Hb) variants by "cation-exchange high-performance liquid chromatography" principle along with other relevant tests. Statistical Analysis: Data was analyzed by frequency distribution and Chi-square test assuming P value as 95% of the level of significance using the SPSS version 16 (SPSS Inc., Chicago, Illinois, U.S.A). Result: Abnormal Hb variant was 47.5% among 1872. Hb E trait (34.4%) was most common followed by Hb E disease (25.3%) and others. Hb E disorders (92.7%) were observed mostly among Rajbangsi population while E-β-thalassemias (40%) in the Muslims and a heterogeneous pattern noted among tribal and mongoloid. Conclusion: Hb E hemoglobinopathies was high among Rajbangsi and Muslims with identification of some other hemoglobinopathies involving tribal and mongoloid

    Climatic influence on the magnitude of COVID-19 outbreak: a stochastic model-based global analysis

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    We investigate the climatic influence on COVID-19 transmission risks in 228 cities globally across three climatic zones. The results, based on the application of a Boosted Regression Tree algorithm method, show that average temperature and average relative humidity explain significant variations in COVID-19 transmission across temperate and subtropical regions, whereas in the tropical region, the average diurnal temperature range and temperature seasonality significantly predict the infection outbreak. The number of positive cases showed a decrease sharply above an average temperature of 10°C in the cities of France, Turkey, the US, the UK, and Germany. Among the tropical countries, COVID-19 in Indian cities is most affected by mean diurnal temperature, and those in Brazil by temperature seasonality. The findings have implications on public health interventions, and contribute to the ongoing scientific and policy discourse on the complex interplay of climatic factors determining the risks of COVID-19 transmission

    Climatic influence on the magnitude of COVID-19 outbreak: a stochastic model-based global analysis

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    © 2020 Informa UK Limited, trading as Taylor & Francis Group. We investigate the climatic influence on COVID-19 transmission risks in 228 cities globally across three climatic zones. The results, based on the application of a Boosted Regression Tree algorithm method, show that average temperature and average relative humidity explain significant variations in COVID-19 transmission across temperate and subtropical regions, whereas in the tropical region, the average diurnal temperature range and temperature seasonality significantly predict the infection outbreak. The number of positive cases showed a decrease sharply above an average temperature of 10°C in the cities of France, Turkey, the US, the UK, and Germany. Among the tropical countries, COVID-19 in Indian cities is most affected by mean diurnal temperature, and those in Brazil by temperature seasonality. The findings have implications on public health interventions, and contribute to the ongoing scientific and policy discourse on the complex interplay of climatic factors determining the risks of COVID-19 transmission
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