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Drawing on Conservation of Resources and spillover theories, we empirically examine work and community outcomes of both organizational and community embeddedness and the underlying mechanism whereby the two forms of embeddedness influence both domain-specific and cross-domain outcomes. With data from 165 matched pairs of employees and their colleagues from a Midwestern US organization, we found that organizational and community embeddedness influence specific individual behaviors both within and across their respective domains. Additionally, we found support for the mediating role of psychological flourishing in the relationships between embeddedness and various organizational and community outcomes. We discuss the theoretical contributions and practical implications of our findings, as well as suggestions for future research. [ABSTRACT FROM AUTHOR]

Prior research suggests that exercise has positive benefits for individuals and the organizations they work for. Using the literature related to social cognitive theory and exercise, the present study hypothesizes and tests the effects of exercise on two directions of work-family conflict: work interference with family (WIF) and family interference with work (FIW). Using a sample of 476 working adults, we found that exercise was both positively related to self-efficacy for managing work-family conflict and negatively related to reported psychological strain, which in turn were related to reductions in work-family conflict. Model fit for the data support our contention that exercise indirectly influences work-family conflict via its direct impact on increased self-efficacy and reduced psychological strain. [ABSTRACT FROM AUTHOR]

The present paper through a discussion of the therapeutic value of autobiographical narratives of disease seeks to emphasize the importance of Lance Armstrong’s autobiography, showing how someone after once having physically and emotionally devastated by a disease like cancer, and bearing the stigma of socio-cultural myths and constructions of the disease can come out triumphant and attain regeneration through an indomitable will to survive and live. [ABSTRACT FROM PUBLISHER]

Education is the process of giving knowledge to students and then evaluating the performance of students with the help of different techniques. For this purpose we use Educational Data Mining. It is a field that discovers the knowledge from the large amount of Educational data. The main purpose of Educational Data Mining is to find the appropriate pattern of educational data by mining so that there is improvement of qualification of education. This paper identifies the factors that are linked with those students whose academic performance is not good and improve the performance of students by identifying slow learners. This paper includes the various attribute selection methods to select those attributes that can improve the performance of students like family background, extra classes, age factor, CGPA or percentage of higher secondary education, frequency of exercise, time spend in exercise, score obtained in analytical questions, descriptive questions etc. and discard the unaffected attributes. For this purpose ranking algorithms will be used to remove those parameters. Various prediction algorithms will be used to predict the student's behavior of pass or fail and then more affective attributes will be applied to those students who will be going to fail to improve their performance. [ABSTRACT FROM AUTHOR]