The metaparadigm concept of person as a core emphasis for nursing theorizing has attracted considerable attention in western literature, but has received less attention in the context of eastern philosophical contexts. In this philosophical inquiry, we sought to clarify the concept of what it is to be a human being according to ideas deriving from Islamic tradition, drawing on concept analysis as general approach to advance an understanding of how nursing within an Islamic context might operationalize metaparadigm conceptualization. Specifically, we (...) considered person as human being on the basis of its definition, attributes/characteristics and boundaries to explore the anatomy of the concept in this context. Our analysis revealed that Islamic thought is relevant to two distinct understandings of the holistic concept of human being. Reciprocal interaction worldview organizes the dimensions of being human (cognitive, emotion, social and spiritual) into a whole. Simultaneous action worldview emphasizes that the human is a coherent and unified creature in harmony with the universe. In Islamic thought, these two worldviews are integrated and operate concurrently. Nurse–patient interactions arising from an integrated perspective that aligns both of these worldviews will allow for informed applications of knowledge to practice and enhanced patient care. (shrink)

This study investigates ethical decision-making by considering the differences in ethical judgments between undergraduate business and MBA students on selected ethical issues facing employees and managers of today's businesses. The study further investigates differences in ethical judgments between undergraduates and MBAs in terms of a perceived position as an employee or as a manager. The findings indicate that undergraduate students tend to be more ethical than MBA students and that both groups tend to be more ethical when they perceive themselves (...) as managers rather than employees. The authors discuss the implications for both business practitioners and educators. (shrink)

Wheat is the most imperative crop for man feeding and is planted in numerous countries under rainfed conditions in semiarid zones. It is necessary for decision-makers and governments to predict the yield of rainfed wheat before harvest and to determine the effect of the major factors on it. Different methods have been suggested for forecasting yield with various levels of accuracy. One of these approaches is the statistical regression model, which is simple and applicable for regions with scarce data available. (...) Since the weather is the most important factor affecting the production of wheat, particularly in rainfed cultivation, regression models using weather parameters are very common. However, the coefficients of these models are location based and should be determined locally. Therefore, in this research, backward multiple linear regression technique based on relative importance metrics was used to determine the most important effective weather parameters on rainfed wheat productions in Fars Province, south of Iran, during 2006–2013. The influence of each parameter in the final model was analyzed using the values of LMG relative importance metric. The result indicated that sunshine hours had the biggest LMG and, therefore, was the most effective parameter. Also, among the other considered parameters, rainy days, minimum relative humidity, and average relative humidity with LMG values of 21.97%, 21.69%, and 21.62%, respectively, had the most effects on rainfed wheat yield in the studied area. All parameters except for the sunshine hours positively affected rainfed wheat yield. The most important reason for the significance of these parameters can be the prevailing dry and semidry climate in the southern areas of Iran. The proposed model for determination of weather parameters effects on rainfed wheat could be a great guidance and aid for different stakeholders such as farmers, decision-makers, and governments. (shrink)