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Titlebook: Soil Enzymes; Influence of Sugar I Naga Raju Maddela,Narasimha Golla,Rangaswamy Venga Book 2017 Springer International Publishing Switzerla

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书目名称Soil Enzymes
副标题Influence of Sugar I
编辑Naga Raju Maddela,Narasimha Golla,Rangaswamy Venga
视频video
概述This book offers a technical study of soil contamination.Provides a comprehensive overview of the effect of sugar industry on soil microbiology.This is an interesting book for researchers as well as i
丛书名称SpringerBriefs in Environmental Science
图书封面Titlebook: Soil Enzymes; Influence of Sugar I Naga Raju Maddela,Narasimha Golla,Rangaswamy Venga Book 2017 Springer International Publishing Switzerla
描述.This book addresses issues arising from discharge of effluents from sugar industry on to surrounding land or into a water body such as physicochemical properties of soil, changes in the micro flora, quantification of soil enzyme activities as influenced by effluents. Disposal of effluents without neutralization has become general practice. These effluents are chemically heterogeneous, contain organic and inorganic pollutants including, sugar baggage, molasses, carbonates, bicarbonates. The impact of sugar industry effluents on microbial activities in terrestrial ecosystem is scanty. There is also significant interest in the study of soil enzymes because such effect reflects the potential capacity of a soil to perform certain biological transformation of soil fertility..
出版日期Book 2017
关键词Soil enzymes; Sugar industry affluents; Non target effects; Soil pollution; Soil microbiology; industrial
版次1
doihttps://doi.org/10.1007/978-3-319-42655-6
isbn_softcover978-3-319-42654-9
isbn_ebook978-3-319-42655-6Series ISSN 2191-5547 Series E-ISSN 2191-5555
issn_series 2191-5547
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampalliventricles acquired from 2360 patients, with associated demographic information and clinical measurements (used as covariates/conditional information). The results obtained indicate the superiority of the proposed method for conditional synthesis of virtual populations of cardiac left ventricles rel
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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampalliwork (DNN) features with locally computed radiomic features. This reduces DNN over-fitting and allows local variations between radiomic features to be better captured. Furthermore, we ensure complementary information is learned by deep and radiomic features by designing a novel feature de-correlatio
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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampallithe loss function. Additionally, CPGNN consists of a multi-scale graph fusion module (MSGF) and a physics-informed loss. MSGF is to generate the features constrained by the coronary topology and better represent the different-range dependence. The physics-informed loss uses the finite difference met
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