Occupational burnout and cyberloafing among teachers: Analysis of personality traits,individual and occupational status variables as predictors

One of the phenomena that causes remarkable losses in terms of productivity and cost in organizations is occupational burnout. Burnout is encountered in different occupational groups. However, in professions that are in contact with a large number of people as part of their responsibilities, such as teaching, burnout is a problem that is far more on the foreground. In addition, emotional burnout, which is seen as the first step before occupational burnout, can cause workers to feel insufficient at the point of carrying out tasks related to their duties, leading to behaviour that is out of their fields such as cyberloafing. Addressing this situation in terms of teaching profession, the feeling of inadequacy in educational activities during the course may prevent the teacher from fulfilling any responsibilities while using a device that has internet access. In this context, the aim of this study is to investigate the factors that predict the cyberloafing and burnout levels of teachers working in different fields. This research is a relational research. This research was carried out with the participations of 194 teachers from different branches working in various provinces in Turkey. In this study, a personal information form and three different data collection tools were used. Analysis of the collected data was performed by hierarchical linear multiple regression analysis. The 9 models, created separately with cyberloafing and burnout, were found to be significant in the study. Demographic variables, ICT usage status variables, occupational variables and personality traits were used in these models. Therefore, all the hypotheses included in the research were accepted. As a result of the research, demographic variables were found to be the most important model to predict teachers’ occupational burnout. The most important model explaining teachers’ cyberloafing situations is their ICT usage.     

Kosovo's social policy during self‐management,UNMIK and independence: Persisting high inequality and social exclusion

This study examined: (i) Kosovo's social policy's poverty and inequality outcomes in recent history, namely during Yugoslav self‐management socialism (1952–1989), the United Nations Mission in Kosovo (UNMIK) (1999–2008) and independence (2008 onwards), and (ii) the impact of local politics in the more recent trajectory of social policy. The study shows that the poverty rate after the war (1999) is significantly lower than it was during socialism, but that there is persistent high and deepening Gini inequality and social exclusion. Transfers and taxes of the residual‐liberal policy have reduced more pretransfer–pretax inequality, and especially poverty, compared with self‐management's insurance‐dominated socialism, but their effectiveness is declining due to the policy's underlying long‐term, pro‐market logic and its increasing particularism with respect to short‐term transfers. The article argues that the main local political cleavages have originated from self‐management socialism's extensive stratification. These cleavages matter in distributive conflicts, and they mattered also during the UNMIK period by easing the pathway for the unprecedented influence international organisations have had on policy formation.     

Evaluation of quality of life in patients undergoing surgery for benign prostatic hyperplasia

Abstract

Introduction: Benign prostatic hyperplasia (BPH) is one of the most common diseases in the world and also one of the most common causes of urinary complaints that occur with increasing age. Thus, BPH should be addressed with surgical procedures. To contribute to the relevant literature, the present study aims to investigate the effects of surgical therapies for BPH on the patients quality of life.

Materials and methods: This study included 120 patients who underwent surgery for BPH at a Training and Research Hospital. The short-form health survey (SF-36) was administered to the patients before the surgery and at three months after the surgery. Eight parameters of the SF-36 and mental (MCS) and physical (PCS) component summary scores were calculated. The Student’s t-test, Wilcoxon, and chi-square test were used in the statistical analysis.

Results: When the eight parameters within the SF-36 health questionnaire were examined separately, the findings showed that patients quality of life increased significantly with respect to physical functioning, social functioning, and role limitations because of emotional problems , vitality, bodily pain, general health perceptions, and mental health domains three months after surgery (p?<?.001). The PCS and MCS significantly increased after surgery (p?<?.001).

Conclusion: The SF-36 questionnaire results showed that a significant improvement in the patients quality of life was observed in patients who underwent surgery for BPH. Our findings suggest that SF-36 could be considered a reliable evaluation test to be used in the patients with BPH after surgery.     

Local Convergence Rate of Mean Squared Error in Density Estimation

The local convergence rate of a multivariate density estimators based on the certain delta-sequence is studied. In contrast to known results, the conditions on the density are formulated in terms of the modulus of continuity. The main contribution of this study is relaxing the corresponding smoothing conditions in terms of arbitrary modulus of continuity type majorant. In particular, when the density f ∈ L ^p (R ^d ) satisfies Lipschitz condition of order γ = 1 at x, the rate of convergency contains terms with logarithm, which is the best possible convergency rate.     

Static-dynamic uncertainty strategy for a single-item stochastic inventory control problem

We consider a single-stage inventory system facing non-stationary stochastic demand of the customers in a finite planning horizon. Motivated by the practice, the replenishment times need to be determined and frozen once and for all at the beginning of the horizon while decisions on the exact replenishment quantities can be deferred until the replenishment time. This operating scheme is refereed to as a “static-dynamic uncertainty” strategy in the literature [3]. We consider dynamic fixed-ordering and linear end-of-period holding costs, as well as dynamic penalty costs, or service levels. We prove that the optimal ordering policy is a base stock policy for both penalty cost and service level constrained models. Since an exponential exhaustive search based on dynamic programming yields the optimal ordering periods and the associated base stock levels, it is not possible to compute the optimal policy parameters for longer planning horizons. Thus, we develop two heuristics. Numerical experiments show that both heuristics perform well in terms of solution quality and scale-up efficiently; hence, any practically relevant large instance can be solved in reasonable time. Finally, we discuss how our results and heuristics can be extended to handle capacity limitations and minimum order quantity considerations.