Biomaterial Database

[The forecasting of hygienic regulations for industrial substances possessing irritant action]. 1995

S M Novikov, and A B Nurgabylova, and D A Filimonov, and V V Poroĭkov

Computer analysis of hygienic standards in Russia and the USA and of the toxicometric parameters of chemicals characterized by predominantly irritating effects helped create a prognostic model for the calculation of maximum allowable concentrations of chemicals in the air of working zones.

UI	MeSH Term	Description	Entries
D007509	Irritants	Drugs that act locally on cutaneous or mucosal surfaces to produce inflammation; those that cause redness due to hyperemia are rubefacients; those that raise blisters are vesicants and those that penetrate sebaceous glands and cause abscesses are pustulants; tear gases and mustard gases are also irritants.	Counterirritant,Counterirritants,Irritant,Pustulant,Pustulants,Rubefacient,Rubefacients,Vesicant,Vesicants
D008452	Maximum Allowable Concentration	The maximum exposure to a biologically active physical or chemical agent that is allowed during an 8-hour period (a workday) in a population of workers, or during a 24-hour period in the general population, which does not appear to cause appreciable harm, whether immediate or delayed for any period, in the target population. (From Lewis Dictionary of Toxicology, 1st ed)	Maximum Permissible Exposure Level,MPEL,Maximum Permissible Exposure Concentration,Allowable Concentration, Maximum,Allowable Concentrations, Maximum,Concentration, Maximum Allowable,Concentrations, Maximum Allowable,MPELs,Maximum Allowable Concentrations
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003198	Computer Simulation	Computer-based representation of physical systems and phenomena such as chemical processes.	Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D005544	Forecasting	The prediction or projection of the nature of future problems or existing conditions based upon the extrapolation or interpretation of existing scientific data or by the application of scientific methodology.	Futurology,Projections and Predictions,Future,Predictions and Projections
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000395	Air Pollutants, Occupational	Toxic air-borne matter related to work performed They are usually produced by the specific nature of the occupation.	Occupational Air Pollutants,Pollutants, Occupational Air
D012426	Russia	A country located in north Asia bordering the Arctic Ocean, extending from Europe (the portion west of the Urals) to the North Pacific Ocean. The capital is Moscow.	Russian S.F.S.R.,Russian Federation (Europe),Russian SFSR
D014481	United States	A country in NORTH AMERICA between CANADA and MEXICO.
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model