مطالب

Objective  The aim of this study was to investigate the relationship between perceived social support and psychological resilience with quality of life in people with physical disabilities. Methods   The research method was descriptive-correlational and the statistical population included all people with any physical disabilities between the ages of 15 to 65 years in the cities of Golestan province, 100 of whom were selected using available and non-random sampling method. And after obtaining consent, completed the relevant questionnaires. Also, in order to collect data, Phillips Social Support Questionnaire, Klohnen Self- Efficacy Scale and WHO Quality of Life Questionnaire were used, and to analyze the data, version 24 of SPSS software, Pearson correlation coefficient and multiple regression were used. Results  Findings showed that there is a positive relationship between perceived social support and quality of life in people with physical disabilities. The higher the social support, the higher the quality of life, as well as between psychological resilience and quality. Conclusion  There is a significant relationship between people's lives and physical disabilities in that people who showed higher psychological resilience had a higher quality of life.

Properly inves tigating the potential of nature in the formation of architectural concepts needs a theoretical framework in which its analytical components can explain the methods of utilization of nature. Although some attempts have been made in this regard, considering the missing elements, there is s till a significant gap in the literature and a s tudy for introducing a more comprehensive theoretical framework has yet to be conducted. The aim of this s tudy is, therefore, firs tly, to present a theoretical framework that can explain the role of nature in the creation of architectural concepts by its detailed factors and, secondly, to apply this framework for inves tigating nature-inspired works of Toyo Ito. Accordingly, this documentary paper is based on a theoretical approach supported mainly by the outcomes of a literature review and case s tudy analysis, which utilizes the descriptive-analytical method. For the case s tudy part, projects were selected from various scales and functions to ensure proper evaluation. Both qualitative and quantitative tactics have been used in data analysis. Findings demons trated that the highes t rate in regards to the itemized factors of the Theoretical Framework of the s tudy relates to ‘Integration of natural elements in spatial articulation’ and the lowes t rate corresponds to ‘Usage of material in their raw and brutal s tate’. Moreover, though the highes t level of utilization of nature among the cases, is related to ‘Grin Grin’, a large-scale project, yet considering all the frequencies, it can be argued that the larger scale does not necessarily imply the higher frequency.

Behavioral finance had been becoming a fast-growing field of study in the past few years and because of the importance of investors' behavior in market performance, it's extremely noteworthy. By studying biases from their orientation perspective, we can divide them into two major groups, past-oriented, and current-oriented biases. In this research, a model had been developed for the past-oriented behavioral bias, which is closely related to the random walk theory. The research sample included the daily price information of 9 different industry indices in the Tehran Exchange Price Index (TEPIX), the index of 50 Top Companies in the Tehran Stock Exchange, and the S&P index in the New York Stock Exchange from 03/25/2011 to 03/19/2019. The results of the ARIMA model based on Markov switching models were measured for the degree of rigidity of these indexes by random walk theory, and then the effect of past-oriented behavioral bias was calculated in each of these 12 indexes by developing a new model. The results indicate that the cement index had the highest past-oriented behavioral bias (57%), followed by the top 50 companies index (46%), chemicals (41%), and oil product index (12%). However, the S&P index had no past-oriented behavioral bias.