مریم آقازاده

the purpose of the present study was to investigate the effectiveness of acceptance and commitment therapy on mood swings and emotional expression of couples with marital Conflict. 

The present study was a semi-experimental type of pre-test post-test with the control group. The statistical community of this study was made up of all couples with marital Conflict visiting counseling and Family Therapy Clinics in faramehr, the path of tranquility and yasham in Tabriz. The sample of the study consisted of 30 couples with marital Conflict who were selected from among the statistical community by targeted sampling, taking into account the acceptance of people to participate in the study and having entry criteria. The king and Ammons emotional expression questionnaires (1990) and the positive and negative emotion of Watson et al. (1988) were used to collect data. The data was analyzed by the multivariate variance analysis test (MANCOVA) in version 24 of the SPSS statistical software.

The Results showed that there is a significant difference between the post-test scores of mood swings and emotional expressiveness. The effectiveness of treatment based on acceptance and commitment has caused a decrease in the average negative emotion component and an increase in the positive emotion component of the intervention group and an increase in the average scores of the subjects in emotional expressiveness (P>0.01).

Treatment based on acceptance and commitment has a significant effect on mood swings and emotional expression; Therefore, it is possible to reduce the mood swings and increase the expressiveness of emotions through treatment based on acceptance and commitment.

Communication media, while increasing the flexibility of individuals, increases the level of their adaptability to new situations and reduces the adherence of individuals to traditions opposed to modern society and the tendency of society from conventional to rational action, and the expansion of democracy, the public sphere. And provides civil society. The corona virus has created a situation in which distance from humans, distance from nature, and distance from objects have become a social imperative, and communication in real space, or in other words, physical-natural space, has been disrupted. This research has been done using descriptive and analytical methods. And it sought to answer the question of which communication technology features the post-Corona space on social media highlighted, and the weakness of our media in dealing with the Corona due to our lack of knowledge of which of these features. In this study, first, the dimensions of the background during the corona and post-corona were dealt with socially. Then the needs, do's and don'ts, the duties of universities and scientific centers, the duties of governments were discussed. Finally, the responsibility of the media to deal with the epidemic of the virus was explained. In this regard, it can be claimed that the atmosphere formed after Corona in social networks has fully shown the interactive nature and media aggregation. Therefore, if these social networks serve the correct and timely information to the people in a coordinated and integrated manner, the biggest role to control the spread of the corona virus and reduce its potential damage.

This research is a study on visual elements on Saint Stephanus church. All these ornament could be considered as pictorial signs which make up a complete narrative together. In structural semiotics methodology and other semiotic methods of reading, everything in the world could be considered as a text, specially artifacts and art pieces. In conclusion their signs could be read and decoded such as verbal texts. In this quantitative semiotic research, the main goal is finding the hidden meaning of visual system in pictorial elements of the church. As an Introduction, the basic concepts including sign, structure, coding sign system, has been described, then visual signs of the cathedral has been analyzed as a linguistic system. The summary of the results concluded as follows: The visual narrative elements of St. Stephen's Church can be divided into human, plant, animal, abstract motifs, geometric ornaments, and imaginative motifs of composite beings, as well as the light and its effects. The meaning of each of these visual signs can be interpreted in terms of Christian beliefs and by considering historical and cultural context of place and time in explicit and implicit layers or denotations and connotations.

  Artificial intelligence is a branch of computer science that has the ability of analyzing complex medical data. Using artificial intelligence is common in diagnosing, treating and taking care of patients. Warfarin is one of the most commonly prescribed oral anticoagulants. Determining the exact dose of warfarin needed for patients is one of the major challenges in the health system, which has attracted the attention of researchers. The purpose of this study was to determine the exact dose of warfarin needed for patients with artificial heart valves using artificial neural networks (ANN). A total of 9 multi-layer perceptron ANNs with different structures were constructed and evaluated based on a dataset including 846 patients who had referred to the PT clinic in Tehran Heart Center in the second half of the year 2013. Finally, the best structure of ANN for warfarin dose was investigated. All simulations including data preprocessing and neural network designing were done in MATLAB environment. The effectiveness of ANNs was evaluated in terms of classification performance using 10-fold cross-validation procedure and the results showed that the best model was a network that had 7 neurons in its hidden layer with an average absolute error of 0.1, turbulence rate of 0.33, and regression of 0.87. The achieved results reveal that ANNs are able to predict warfarin dose in Iranian patients with an artificial heart valve. Although no system can be guaranteed to achieve 100% accuracy, they can be effective in reducing medical errors.