فهرست مطالب tayebeh karami

The purpose of the present study was to model test of direct and indirect effects of approach motives, self-compassion and mindfulness on sexual intimacy of married nurses according to the roleof alexithymia.

The statistical population includes all married nurses of Ilam in the first half of 1402, from which 240 nurses were selected as a sample using available sampling. To collect data from the Couples Sexual Intimacy Questionnaire (CSIQ), Sacrifice Motives Questionnaire (SNQ), Freiburg Mindfulness Questionnaire (FMI-SF), Self-Compassion Scale (SCS) and The Toronto Ataxia Scale (TAS) were used. In the present study, the evaluation of the proposed model was done using structural equation modeling, and the bootstrap method (AMOS-24 software) was used to test indirect relationships.

According to the results and according to the fit indices, the proposed model has an acceptable fit with the data, and the direct paths of approach motives, self-compassion, and mindfulness to ataxia and ataxia to sexual intimacy were statistically significant, as well as indirect paths. Welcoming motives, self-compassion and mindfulness of sexual intimacy through alexia were statistically significant.

Based on the findings, it can be concluded that alexia has a mediating role between predictor variables approach motives, self-compassion and mindfulness) and criterion (sexual intimacy). In other words, the approach motives, self-compassion and mindfulness can cause sexual intimacy in nurses by reducing dyslexia.

The subject of classification is one of the important issues in different sciences. Logistic regression is one of the statistical methods to classify data in which the underlying distribution of the data is assumed to be known. Today, researchers in addition to statistical methods use other methods such as machine learning in which the distribution of the data does not need to be known. In this paper, in addition to the logistic regression, some machine learning methods including CART decision tree, random forest, Bagging and Boosting of supervising learning are introduced. Finally, using four real data sets, we compare the performance of these algorithms with respect to the accuracy measure.

The effort of Khaje Nasir al-Din -Tusi was to defend Avicenna against Asharite theologians Gazali and Fakhr Razi and other Anti-Aveciennen movements. He explained Avicenna,'s thought, however, he criticized some aspects of them and made a new paradigm for resolving problems, Many philosophers and theologians after him pursued him and profit by. His solutions were in a number of issues, such as the theory of Emanation (sudur) and knowledge of God. Tusi had solved the problem of how the multiplicity-the universe was generated from the One with the notion of aspects (Etebariat) and designed a model for creations that were based on logical progression and evolved Avicenna's theory. Al Tusi has some new ideas about the intellect realm and identified it with Actual Facts (Nafso-al-amr). In his view multicity in the intellect realm can solve the problem of knowledge in detail. Khaje Nasir with the aspect of shie wisdom emphasized the role of the teacher for achieving abstract knowledge and the necessity of guidance of Imam for it. He believed that somethings in religion are out of reaching intellect and for those things we need guidance and help like the corporal resurrection, he defined some ideas, like spheres and their numbers as an axiom from other sciences.

Diabetes is one of the most common metabolic disorders that its prevalence is becoming a public health concern in the present century. It should be noted that cognitive, behavioral, emotional, and social factors play an important role in the development, regulation, and inhibition of diabetes. The aim of this study was to determine the effectiveness of psychosomatic immunization therapy on depression and anxiety in children with diabetes.

The present study was a semi-experimental with pre-test-post-test design with a control group. The statistical population of the study included all children aged 12-8 years with diabetes who referred to Ahvaz city medical centers in the first quarter of 2018. The sample consisted of 30 children from the statistical population who were selected by convenient sampling method and randomly assigned to two experimental and control groups. The research instruments included Children's Depression Questionnaire (Reynolds, 1989) and Children's Anxiety Inventory (Beck, 1990). First, pre-test were performed for two groups, and then psycho-emotional intervention against stress for children and mothers of the experimental group was performed for ten 60-minute sessions (during two months, two sessions per week) and the control group, and the control group did not receive the intervention. It was the turn of the intervention. Finally, post-test was performed for both groups and the data were analyzed by multivariate analysis of covariance using SPSS-19 software.

The results of data analysis showed that the effect of psychosomatic immunization therapy on depression (P <0.001; F = 21.04) and anxiety (P <0.001; F = 19.43) in children with diabetes.

Overall, the results showed that psychological immunization interventions, by influencing parents and their children, reduced the symptoms of depression and anxiety in children with type 1 diabetes.