9 research outputs found

    ANALYSIS OF SHORT TRACK SPEED SKATERS COURAGE LEVELS FROM DIFFERENT VARIABLES

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    The object of this work is to analyze the courage levels of short track speed skaters from different variables. The study has been carried out on a total of 20 individuals, including 6 women and 14 men, who performed as short track speed skaters in Erzurum province of Turkey in 2017. DBA courage scale developed by (Imamoğlu, 1998) has been applied to skaters in the study9. SPSS 21 package program has been used for the analysis of the data. In the analysis of the data, frequency distribution for the demographic characteristics, T test to examine the relationship between two independent variables and courage level and ANOVA Variance analysis tests have been used to examine the relationship between more than two variables and courage level. The difference between the variables has been interpreted based on p 0.05 relevance level. According to the findings, it is determined that there is a significant difference between the level of courage of the athletes and being a national athlete. It is also determined that there is no significant difference between gender, education level, age, type of school they attended, educational background of mother and father and mother and father’s occupations. It is observed that, courage levels of national athletes are higher than that of non-national athletes. It is proposed that, it is important to determine the variables that will positively influence the level of courage for the athletes to be successful in sports and daily life.  Article visualizations

    Evaluation of The Factors Affecting the Benefiting Level from The Young Farmers Project Support in TR 71 Region of Turkey

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    In Turkey, various agricultural support policies were applied some time to increase the production, sometimes to reduce the over-production and to compensate the production. However, these policies have not been fully attained since they have been implemented without first solving the major structural problems of agriculture. Parallel to developments in the world's countries, entrepreneurship needs to be embraced by the young population and young entrepreneurs must be supported. Turkey attaches great importance to the supports in recent years regarding the determination of entrepreneurial individuals, and the promotion of entrepreneurship. For this purpose, in order to support young people in the agriculture sector, "Young Farmer Projects Support (YFPS)" was added to the "National Agricultural Project" in 2016. This support policy aims to encourage young farmers to stay in agriculture by supporting young farmers and to prevent migration from the village to the city. In this context, a survey has been carried out in the TR 71 Region of Turkey (Aksaray, Kırıkkale, Kırşehir, Nevsehir and Nigde provinces), and a total of 248 young farmers (139 supported, and 109 non-supported) were interviewed. The logit model was used in the analysis of the data. According to Logit model results, the factors such as gender, marital status, farming situation of young farmer, farming situation of young farmer’s family, residence population, social security status, agricultural education certificate status and ownership of property which are influencing on individuals benefiting from young farmer support were found statistically significant

    The Effects of Dressing up Preterm Infants After Tub Bathing on Moisture Loss: A Randomized Controlled Trial

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    Objective: The skin of the preterm newborn plays an important role in adapting the newborn to the environment after birth. This was designed as a randomised controlled experimental trial in order to determine the effect of dressing after tub bathing on loss of skin moisture in healthy preterm infants

    THE EFFECTS OF DRESSING UP PRETERM INFANTS AFTER TUB BATHING ON MOISTURE LOSS: A RANDOMIZED CONTROLLED TRIAL

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    Objective: The skin of the preterm newborn plays an important role in adapting the newborn to the environment after birth. This was designed as a randomised controlled experimental trial in order to determine the effect of dressing after tub bathing on loss of skin moisture in healthy preterm infants

    The Mediator Role of Organizational Justice in the Relationship between Teachers’ Prejudices in their School Relations and Organizational Commitment: A Structural Equation Model

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    This study aims to test the theoretical model developed for the mediator role of organizational justice in the relationship between teachers’ prejudices in their school relations and organizational commitment levels. The research is designed using the survey model. The population comprised of teachers working at primary, secondary, and high schools in the Milas district of Mugla, Turkey, during the 2015-2016 academic year. The research sample comprised of 326 teachers selected through the disproportionate cluster sampling technique. The data for the research was collected through the Prejudices in School Relations Scale, Organizational Justice Scale, and the Organizational Commitment Scale. Pearson correlation coefficients were employed in terms of correlations between the variables observed during the research. The resulting model was tested using the Structural Equation Modeling (SEM). Research results show that teachers have a medium-level commitment, while their organizational justice perception is slightly over the medium level. Teachers are most prejudicial against managers and students, followed by parents, and least prejudicial against their colleagues. Teachers’ prejudices against their colleagues are relatively low, while their prejudices against managers, students, and parents are close to the medium level. In this research, it was determined that teachers’ organizational justice perception plays a mediator role between the variables of teachers’ prejudices in their school relations and their organizational commitment. The intermediation of organizational justice perception displays a suppression effect in the inversely proportional relationship between teachers’ prejudices and commitment

    A machine learning-based epistemic modeling framework for EMC and SI assessment

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    A novel machine learning-based framework is presented to evaluate the effect of design parameters, affected by epistemic uncertainty, on the Signal Integrity (SI) and Electromagnetic Compatibility (EMC) performance of electronic products. In particular, possibility theory is leveraged to characterize the epistemic variations, and is combined with Bayesian optimization to accurately and efficiently perform uncertainty quantification (UQ). A suitable application example validates the proposed method

    Effect of alpha-lipoic acid on endometrial implants in an experimental rat model

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    PubMedID: 28429826To investigate the antioxidant and anti-inflammatory effects of alpha-lipoic acid (ALA) in the treatment of endometriosis in an experimental rat model by evaluating biochemical and histopathologic parameters. Experimental endometriosis was induced by the peritoneal implantation of autologous endometrial tissue. The rats were randomly divided into two groups with eight rats each. Group I was intraperitoneally administered ALA 100 mg/kg/day for 14 days. Group II was intraperitoneally administered saline solution at the same dosage and over the same period. Endometrial implant volume was measured in both groups both pre- and post-treatment. Tumor necrosis factor alpha (TNF-?) was measured in peritoneal fluid. Total antioxidant status (TAS), total oxidant status (TOS), and oxidative stress index (OSI) were assessed in serum. The implants were histopathologically evaluated. In the ALA group, the serum TOS and OSI levels, the endometrial implant volumes, the TNF-? levels in serum and peritoneal fluid, and the histopathologic scores were significantly lower compared to the control group (P < 0.05). Alpha-lipoic acid may have a therapeutic potential in the treatment of endometriosis due to its antioxidant and anti-inflammatory effects. © 2017 Société Française de Pharmacologie et de Thérapeutique13424/2015This work was supported by the Scientific Research Office of Mustafa Kemal University (Project no: 13424/2015)
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