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오늘 본 자료
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Bleomycin이 처리된 사람 섬유아세포에서 극저주파 전자기장의 효과
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Spatial arrangement of stainless steel fibers within hybrid yarns designed for electromagnetic shielding
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간호를 위한 개념적 기틀 개발의 일 연구 -신체상 (BODY IMAGE) 개념을 중심으로-
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사무소 건물 커튼월 시스템의 표면결로 방지 설계기준
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When a dream comes through…
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A surrogate weighted mean ensemble method to reduce the uncertainty at a regional scale for the calculation of potential evapotranspiration
- 검색키워드
- 저자 : Esmaeil Zarei (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Atabati, Morteza,Zarei, Kobra,Abdinasab, Esmaeil Korean Chemical Society 2009 Bulletin of the Korean Chemical Society Vol.30 No.11
The use of the classification and regression tree (CART) methodology was studied in a quantitative structure-activity relationship (QSAR) context on a data set consisting of the binding affinities of 39 imidazobenzodiazepines for the α1 benzodiazepine receptor. The 3-D structures of these compounds were optimized using HyperChem software with semiempirical AM1 optimization method. After optimization a set of 1481 zero-to three-dimentional descriptors was calculated for each molecule in the data set. The response (dependent variable) in the tree model consisted of the binding affinities of drugs. Three descriptors (two topological and one 3D-Morse descriptors) were applied in the final tree structure to describe the binding affinities. The mean relative error percent for the data set is 3.20%, compared with a previous model with mean relative error percent of 6.63%. To evaluate the predictive power of CART cross validation method was also performed.
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Morteza Atabati,Kobra Zarei,Esmaeil Abdinasab 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.11
The use of the classification and regression tree (CART) methodology was studied in a quantitative structure-activity relationship (QSAR) context on a data set consisting of the binding affinities of 39 imidazobenzodiazepines for the α1 benzodiazepine receptor. The 3-D structures of these compounds were optimized using HyperChem software with semiempirical AM1 optimization method. After optimization a set of 1481 zero-to three-dimentional descriptors was calculated for each molecule in the data set. The response (dependent variable) in the tree model consisted of the binding affinities of drugs. Three descriptors (two topological and one 3D-Morse descriptors) were applied in the final tree structure to describe the binding affinities. The mean relative error percent for the data set is 3.20%, compared with a previous model with mean relative error percent of 6.63%. To evaluate the predictive power of CART cross validation method was also performed.
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Surprising Incentive: An Instrument for Promoting Safety Performance of Construction Employees
Ghasemi, Fakhradin,Mohammadfam, Iraj,Soltanian, Ali Reza,Mahmoudi, Shahram,Zarei, Esmaeil Occupational Safety and Health Research Institute 2015 Safety and health at work Vol.6 No.3
Background: In comparison with other industries, the construction industry still has a higher rate of fatal injuries, and thus, there is a need to apply new and innovative approaches for preventing accidents and promoting safe conditions at construction sites. Methods: In this study, the effectiveness of a new incentive system-the surprising incentive system-was assessed. One year after the implementation of this new incentive system, behavioral changes of employees with respect to seven types of activities were observed. Results: The results of this study showed that there is a significant relationship between the new incentive system and the safety performance of frontline employees. The new incentive system had a greater positive impact in the first 6 months since its implementation. In the long term, however, safety performance experienced a gradual reduction. Based on previous studies, all activities selected in this study are important indicators of the safety conditions at workplaces. However, there is a need for a comprehensive and simple-to-apply tool for assessing frontline employees' safety performance. Shortening the intervals between incentives is more effective in promoting safety performance. Conclusion: The results of this study proved that the surprising incentive would improve the employees' safety performance just in the short term because the surprising value of the incentives dwindle over time. For this reason and to maintain the surprising value of the incentive system, the amount and types of incentives need to be evaluated and modified annually or biannually.
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Surprising Incentive: An Instrument for Promoting Safety Performance of Construction Employees
Fakhradin Ghasemi,Iraj Mohammadfam,Alireza Soltanian,Shahram Mahmoudi,Esmaeil Zarei 한국산업안전보건공단 산업안전보건연구원 2015 Safety and health at work Vol.6 No.3
Background: In comparison with other industries, the construction industry still has a higher rate of fatal injuries, and thus, there is a need to apply new and innovative approaches for preventing accidents and promoting safe conditions at construction sites. Methods: In this study, the effectiveness of a new incentive systemdthe surprising incentive systemdwas assessed. One year after the implementation of this new incentive system, behavioral changes of employees with respect to seven types of activities were observed. Results: The results of this study showed that there is a significant relationship between the new incentive system and the safety performance of frontline employees. The new incentive system had a greater positive impact in the first 6 months since its implementation. In the long term, however, safety performance experienced a gradual reduction. Based on previous studies, all activities selected in this study are important indicators of the safety conditions at workplaces. However, there is a need for a comprehensive and simple-to-apply tool for assessing frontline employees’ safety performance. Shortening the intervals between incentives is more effective in promoting safety performance. Conclusion: The results of this study proved that the surprising incentive would improve the employees’ safety performance just in the short term because the surprising value of the incentives dwindle over time. For this reason and to maintain the surprising value of the incentive system, the amount and types of incentives need to be evaluated and modified annually or biannually.
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