Titlebook: Microcosm Manual for Environmental Impact Risk Assessment; From Chemicals to Wh Yuhei Inamori Book 2020 Springer Nature Singapore Pte Ltd.

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Ryuhei Inamori,Yuhei Inamori,Kazuhito Murakami,Kaiqin Xun providing a knowledge management back-end to current Data Mining systems. In particular, this paper discusses the use of Data Mining in two aspects of the MZ system [ANAN97a], namely, the acquisition of cases and discovery of adaptation knowledge. We discuss, in detail, the approach taken to disco

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Example Assessments of the Microcosm N-System, the impacts of 106 examples of test materials (6 of surfactants, 3 of germicides, 14 of herbicides, 12 of pesticides, 2 of endocrine-disrupting chemicals, 1 of an antibiotic, 1 of an algal toxin, 6 of organic matter and solvents, 2 of nutrients, 15 of metals, 2 of radiation, 6 of microbial pesticid

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A Scaled-Up Model Ecosystem Verification of the Microcosm N-System,very useful tool for environmental impact assessment, but it is necessary to verify that it reflects the behavior of natural ecosystems well. To evaluate this, a scaled-up microcosm system was constructed and investigated.

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Further Perspectives,ts. The need for developing evaluation techniques for the introduction of chemical substances into model ecosystems has been noted by chemical substance management organizations, including the OECD, and regulatory laws and model systems are being established. However, international standardization o

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Yuhei Inamori,Ryuhei Inamorieach group (cluster). Second, these likely diverse representatives are then used to produce an extension of RF termed . that is much smaller in size than RF, and yet performs at least as good as RF, and mostly exhibits higher performance in terms of accuracy. The latter refers to a known technique c

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