This study is to find out residential satisfaction, moreover, the effect in corporation performance based on a previous research of the influence on consumers' behavior by consumers' recognition of the quality of residential environment of apartment house. Further, the empirical study provides a theoretical model comprised of 10 research hypotheses of the relationship of each theory variable that is based on literature review. Residential environmental satisfaction is comprised of residents satisfaction, apartment buildings satisfaction, environmental satisfaction, societal satisfaction, and relationship satisfaction, and analyzed the influence level of residential environmental satisfaction on residential satisfaction and corporation performance. A survey data of KARSI research in 2009 regarding 2,503 households reside in 47 apartment houses throughout the nation has used as the evidential information for a hypothesis testing.
Subchronic inhalation toxicity assessment is mainly used to evaluate both workers and occupational risk. Since the assessment requires repeated experiment of chemical exposure to model animals, this type of studies is laborious and expensive. Computational methods for estimating toxicity play an increasingly important role in assessing toxicity of chemicals. They not only predict toxicity of chemicals but can also analyze molecular features of a chemical causing toxic effect. Here we present a computational model to predict the subchronic inhalation toxicity. We retrieved repeated dose inhalation toxicity information and chemicals from OECD eChemPortal website and compile 143 chemical compounds with NOAEC (No Observed Adverse Effect Concentration) values. The random forest regression approach has been applied to learn inhalation toxicity data using a number of molecular descriptors, such as physicochemical properties and fingerprints. Recursive feature selection with nested cross-validation was applied to efficiently select essential molecular features. In results, we successfully obtained a model performing with r 2 ext = 0.70 and RMSE ext = 0.74 for external set.
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