Methodical approaches to assessing categories of occupational risk predetermined by various health disorders among workers related to occupational and labor process factors

If we want to assess occupational risks predetermined by various health disorders among workers related to occupational factors and labor process factors, we need to examine whether additional methods can be applied here; these methods should allow not only quantitative determination of occupational risk but also its adequate categorizing. A procedure for risk assessment based on fuzzy sets analysis can be considered and applied for the matter. Suggested methodical approaches to occupational risk assessment based on this procedure involve step-by-step accomplishment of the following stages: determining fuzzy figures corresponding to preset occupational risk levels; preparing initial data (numeric characteristics of occupational risk) for calculations; probabilistic assessment whether a numeric characteristic of occupational risk belongs to fuzzy numbers; and estimated probability of belonging of occupational risk numeric characteristic. A basic instrument for implementing the procedure is determining a membership function for a trapezoid fuzzy number that estimates whether determined risk assessments belong to a specific risk category. We suggested a scale for assessing occupational risk levels, starting from negligible (0–1∙10-4) to extremely high (3∙10-1–1) and corresponding boundaries of trapezoid fuzzy interval (four figures that define a trapezoid number). The procedure was tested in a situation when occupational diseases (sensorineural hearing loss), work-related diseases (arterial hypertension), and their combinations were revealed under exposure to noise equal to 85 dBA; the tests allowed establishing that membership functions were equal to 1 for all risk levels determined as per results obtained via epidemiologic research.

Methodical approaches to assessing categories of occupational risk predetermined by various health disorders among workers related to occupational and labor process factors

If we want to assess occupational risks predetermined by various health disorders among workers related to occupational factors and labor process factors, we need to examine whether additional methods can be applied here; these methods should allow not only quantitative determination of occupational risk but also its adequate categorizing. A procedure for risk assessment based on fuzzy sets analysis can be considered and applied for the matter. Suggested methodical approaches to occupational risk assessment based on this procedure involve step-by-step accomplishment of the following stages: determining fuzzy figures corresponding to preset occupational risk levels; preparing initial data (numeric characteristics of occupational risk) for calculations; probabilistic assessment whether a numeric characteristic of occupational risk belongs to fuzzy numbers; and estimated probability of belonging of occupational risk numeric characteristic. A basic instrument for implementing the procedure is determining a membership function for a trapezoid fuzzy number that estimates whether determined risk assessments belong to a specific risk category. We suggested a scale for assessing occupational risk levels, starting from negligible (0–1∙10-4) to extremely high (3∙10-1–1) and corresponding boundaries of trapezoid fuzzy interval (four figures that define a trapezoid number). The procedure was tested in a situation when occupational diseases (sensorineural hearing loss), work-related diseases (arterial hypertension), and their combinations were revealed under exposure to noise equal to 85 dBA; the tests allowed establishing that membership functions were equal to 1 for all risk levels determined as per results obtained via epidemiologic research

The Cluster Analysis of Multivariable Panel Data and its Application

The research on statistical analysis of multivariable panel data is a blank in China. The paper tries to do the basal study on cluster analysis of multivariable panel data. This paper firstly analyses the numeric characteristic and constructs anew the distance function of multivariable panel data and the function of sum of squares. On this base, the paper explains the arithmetic and process of cluster analysis. At last, an experimental analysis is done on productive efficiency of the industrial enterprises in China.

The 4-arylaminocoumarin derivatives log P values calculated according to Rekker's method

In the QSAR (quantitative structure-activity relationship) and QSPR (quantitative structure-property-activity relationship) study physico-chemical property, lipophilicity is used, to predict bioactivity of the newly synthesized coumarin compounds. Lipophilicity is a property of a molecule which depends on and can be changed by modifications in molecular structure. The parameter of the lipophilicity, partition coefficient (log P), is commonly used in drug designing and it is a numeric characteristic of lipophilicity of the examined substance, potential drug. The synthesis of 4-arylaminocoumarins derivatives from 4-hydroxycoumarin, has been carried out. In this work we described the fragmental method of calculation of partition coefficient according to the Rekker's method, because the best correlation between calculated and experimental values log P was determined according to the Rekker model. 4-Arylaminocoumarin has negative value of log P, but substitution with alkyl or allyl groups on the position 3 increases lipofilicity. Introduction of methyl or ethyl group into position 3 increases lipofilicity, suggesting that by increasing the chain length the values of log P become higher. The influence of allyl substituent in position three increases lipophilicity similar to methyl group. The aryl supstitent decreases lipoflicity, but a general relationship among them could not be established. The results obtained in this study enable further synthesis of new coumarin derivatives and predict their biological activity and properties.