فهرست مطالب مهسا محمودی

Previous research has shown that health engagement accounts for a substantial variance in positive attitudes about the COVID-19 vaccine in public. However, these studies are hardly able to explain intrapersonal characteristics. Thus, we examined the moderating effect of four character strengths (kindness, critical thinking, fairness, and prudence) in the relation between health engagement and positive attitudes to the COVID-19 vaccine. The population consisted of all university students living in Mashhad. A sample of 600 individuals was recruited through convenience sampling. The participants completed a battery of questionnaires including a health engagement questionnaire, Values in Action-Inventory of Strengths, and attitudes towards vaccination questionnaire during the COVID-19 pandemic. A hierarchical regression model and slope analysis were used to examine the moderation effect. The findings indicated a positive and significant correlation between health engagement and a positive attitude towards vaccination (r=.23; p<.01). The character strengths were significantly and positively associated with health engagement (r=.18; p<.01), and a positive attitude toward vaccination (r=.30; p<.01). Moreover, the moderating effect of character strengths on the relationship between health engagement and a positive attitude towards vaccination was significant (t=-4.08; p<.001). Therefore, the character strengths could moderate the effect of health engagement on a positive attitude towards vaccination. It can be concluded that character strengths have a moderating effect on making health-related decisions in stressful conditions such as the COVID-19 pandemic.

The purpose of this study is to investigate and identify the components of the integrated approach in the social studies curriculum and their impact on the quality of primary education. The research approach is qualitative and exploratory in nature using conventional content analysis. The population of the study was all primary school teachers in Khoy and Chaipareh counties in the academic year 1399-1400, which were selected by purposive sampling as an index type and the sample size continued until data saturation. In this regard, semi-organized interviews were conducted with 16 teachers. To ensure and validate the accuracy of the data, the method of researcher self-review and checking by participants (member control technique) was used. Findings of this research are 4 main themes: soft thematic disciplines, research-oriented, functionalization and production discourse, of which 13 sub-themes are shared content, learners' ability, local adaptation, situational learning, multifaceted education, meaning-making, action research, skill orientation. Includes thinking, participatory study, self-regulation of learning, synergy of knowledge, approach building.

Psychological distress in the description of individual psychopathology refers to a set of symptoms of depression, anxiety, perceived stress, and maladaptive psychological functioning at the level of stressful life events. Anxiety, stress, and depression are some of the biggest problems in human life today, and having countless negative consequences can disrupt the ordinary course of life from various personal, social, occupational, family, economic, and other dimensions. Current studies show that early painful experiences make a person susceptible to various psychological damages in adulthood, including anxiety, stress, and depression. Trauma is an event or experience that is emotionally disturbing and destructive and interferes with a person's ability to cope. In the meantime, the issue that comes to mind is that alexithymia can play a mediating role in the relationship between childhood trauma and psychological distress. Alexithymia refers to the inability to self-regulate emotions and process cognitive information, emotional information, and emotion regulation. Based on this and considering the high prevalence of anxiety, depression, and stress among people and its role in reducing performance and the need to investigate the dimensions and factors involved in this problem, this study aimed to determine the mediating role of alexithymia in the relationship between psychological distress and childhood trauma in students.

The research method was descriptive correlational, in which the relationship between research variables is analyzed through path analysis. This model used psychological distress as independent variables, alexithymia as mediated variables, and childhood trauma as dependent variables. The statistical population included all students between the ages of 20 and 40 in Tehran, Iran, in the academic year 2019. The sample of this study included 305 students in Tehran who were voluntarily selected. The criteria for entering the research were: being a 20 and 40- years-old student in Tehran, signing informed consent to participate in the research, and having knowledge about the research goals. Besides, the criteria for exclusion were: having a history of psychiatric disorder, physical illness, and disability affecting a person's life. In order to observe the ethical principles of the research, all subjects received information about the research. Participants were assured that all information would remain confidential and only be used for research purposes. For privacy reasons, the subjects' details were not recorded. In the end, all of them received informed consent. The Childhood Trauma Questionnaire (1988), the Depression Anxiety Stress Scales (1995), and the Toronto Alexithymia Scale (1994) were used to measure the research variables. Data analysis was performed using descriptive statistical methods (mean, standard deviation, frequency, and percentage) and the Pearson correlation using SPSS software version 24. To evaluate the fit of the structural equation model (In the method of structural equations, multivariate normality is one of the essential assumptions that must be considered. In this study, the Kolmogorov-Smirnov test was used to test the assumption of normality) several indicators include: Goodness of Fit Index (GFI), Root Mean Squared Error of Approximation (RMSEA), Comparative Fit Index (CFI), Tucker-Lewis (TLI), Bentler–Bonett normed fit index (NFI (were used by AMOS-26 software. In this study, a significance level of less than 0.01 was considered.

The average age of the participant group was 32.19 (standard deviation=10.82). Fifty-four participants were 25 years old and younger. Approximately 48.2% of the participants (147 people) were in the age range of 26 to 35, and 23.6% were in the age range of 36 to 45 years (72 people). First, the normality of data distribution was checked and confirmed using the Kolmogorov-Smirnov statistical test (P<0.05). The results showed the correlation coefficient between childhood trauma with depression (0.51), anxiety (0.49) and stress (0.36), alexithymia with depression (0.47), anxiety (0.49) and stress (0.49), and the correlation coefficient between childhood trauma and alexithymia (0.29) is significant at the 0.01 level. According to the evaluation indicators of model Fit, especially the ratio of the Chi-square value to the degree of freedom equal to 1.87, GFI index equal to 0.92, AGFI index equal to 0.92, CFI index equal to 0.99, TLI index equal to with 0.86, IFI index equal to 0.93, NFI index equal to 0.94 and RMSEA index equal to 0.005, it can be said that the model has a good fit. The coefficient of the direct path of childhood trauma to anxiety (P≥0.001, β=0.38) and alexithymia to anxiety (P≥0.001, β=0.38) is significant at a level less than 0.001. The coefficient of the direct path of childhood trauma to depression (P≥0.001, β=0.41) and alexithymia to depression (P≥0.001, β=0.36) is significant at the level of 0.001. The coefficient of the direct path of childhood trauma to stress (P≥0.001, β=0.24) and alexithymia to stress (P≥0.001, β=0.41) is significant at the level of 0.001. Childhood trauma and alexithymia explain a total of 29% of the variance of the anxiety variable. Childhood trauma and alexithymia explain a total of 29% of the variance of the depression variable, childhood trauma, and alexithymia together explain 25% of the variance of the stress variable.

In general, the results of the present study showed that trauma experience could predict anxiety, depression, and stress in students through the mediation of alexithymia. Indeed, the results of the present study show that the experience of trauma, and emotional distress increases the prevalence of anxiety, stress, and depression in the studied students. In the end, two categories of theoretical and practical consequences can be mentioned in the current research. At the level of theoretical implications, the findings of this research can lead to the development of knowledge in the field of factors affecting the creation and continuation of anxiety, stress, and depression disorders. At the level of practical consequences, it is recommended to investigate alexithymia and trauma experience in people with anxiety, stress and depression disorders, because these psychological variables make the treatment and recovery process difficult for these people. Among   the research limitations, this study can mention the use of only the questionnaire, the limited population, and the cross-sectional statistical sample of the research. Therefore, using other assessment methods such as interviews and observations along with questionnaires, the expansion of the statistical population and sample, and longitudinal studies can more appropriately explain the reasons for psychological distress.
Ethical Considerations
Compliance with ethical guidelines
In order to comply with the ethical principles of the research, all subjects received information about the research. They were assured that all information would remain confidential and only be used for research purposes. In order to respect privacy, the details of the subjects were not recorded. In the end, informed consent was obtained from all of them. Notably, this research has the code of ethics IR.IAUBA.REC.1397.046 from the Ethics Committee of Islamic Azad University, Bandar Abbas Branch, Iran.
Authors’ contributions
Mahsa Mahmoudi & Haydeh Saberi: Defined the concepts in choosing the subject and designing the study. Haydeh Saberi: Performed a search of the research literature and background. Mahsa Mahmoudi: Collected and analyzed data. Simin Bashardoust. Writing and drafting: All authors discussed the results and participated in preparing and editing the article’s final version.
Funding
This research did not receive any specific grant from the public, commercial, or non- profit funding agencies. This research was extracted from the PhD Thesis of the first author, in the Department of Psychology, faculty of psychology, Rudehen Branch, Islamic Azad University, Tehran, Iran.
Acknowledgments
In the end, the authors are grateful to all participants in the research and all those who have facilitated the implementation of the research.
Conflict of Interest
The author declared no conflict of interest.

The aim of this study was to investigate the factors affecting the physicians' decisions in prescribing medicine and in using national and foreign brands of medicine with the help of decision-making styles of Sprolls and Kendall models among physicians in Urmia. Given the prevalence of COVID-19 disease worldwide, physicians' decisions and preferences in prescribing medication are considered vital.

The present study is an applied survey.  The study population included 400 general practitioners, specialists and subspecialists in Urmia. The normality of data was measured using Kolmogorov-Smirnov test. Cronbach's alpha was also used for reliability of the questionnaire. Regression analysis was used to measure the strength or degree of linear relationship between two independent variables. SPSS software was also used for data analysis.

The results showed that out of six influential factors, five factors (quality, brand, newness, price, and loyalty) were identified among physicians. In addition to identified factors, a new factor namely "time and energy saving" was also a determining factor.

Considering the 7 factors influencing physicians 'decision-making, the results showed that physicians pay a great amount of attention to prescribing quality medicine in their preferences. On the other hand, the brand has a special place in physicians' decisions; therefore, drug companies and manufacturers should also care about branding their products.

In this research, the goal is to identify the decision-making styles of mask customers based on the proposed styles Spurs and Kendall. The question that arises in this research is that decision-making styles What are the mask clients like in coronary heart disease?

This research is applied in nature and is descriptive and analytical in terms of implementation.  317 people customers visiting Urmia pharmacies were selected to purchase the mask as a statistical sample. The main tool Data collection is a questionnaire. T-sample method with SPSS software was used to analyze the data.

The results of the study showed that out of the eight proposed styles, 5 styles were identified and prioritized The ranking was done, the quality-sensitive style was given the highest priority.

Due to the prevalence of coronary heart disease, the demand for masks among consumers has increased.  From 8 consumer decision-making style We have seen the approval of 4 styles among consumers.  The highest quality style Priority was given to achieving a quality mask that was a concern for consumers. On the other hand, the importance of quality for society and consumers in the context of coronary heart disease cannot be denied.  So produce and Quality mask distribution should be done properly in the country as a whole.

It is vitally important that rivers reach an equilibrium state (regime). To be more precise, determination of stable hydraulic geometry is one of the most important factors on which designing, planning and training of rivers is based. In this research, an analytical model was proposed initially by using extremal hypotheses and then multivariate hydraulic geometry relationships were applied to the rivers under dominant bed load. Thereafter, field study was carried out on several gravel bed rivers in Khuzestan and Chaharmahal provinces. A total of 24 hydrometeorological stations in 17 river reaches were sampled to characterize bed material gradation curve. With regards to bed structure of gravel bed rivers, samplings were made by surface and volumetric methods. Then, sediment samples were put into two categories of surface and armor layers. The collected field data was originally applied to derive regime relationships by using multivariate regression analysis. The effect of bed structure was directly studied to better understand it in the regime relationships. A reasonable agreement was observed between the developed analytical and empirical exponents of the hydraulic geometry relationships in this study and those by other researchers. Finally, the developed model was calibrated using the field data of Iran and the mean relative error of the bankfull width and depth calculation were 26% and 24%, respectively.

Bed material size frequency distribution of rivers is one of the key points to identify river characteristics. River bed armoring development is one of the controlling factors in sediment transporting and eroding processes of gravel bed rivers. In this research, field study was initially carried out on several gravel bed rivers in Khuzestan and Chaharmahal provinces. 24 hydrometeorological stations in 17 river reaches were sampled to characterize bed material gradation curve. With regards to bed structure of gravel bed rivers, samplings were made by surface and volumetric methods. Thereafter, sediment samples were differentiated in three categories of surface, armor and sub-armor layers. The collected field data were originally applied to derive regime relationships by using multivariate regression analysis. The effect of bed structure was directly studied in these relationships for the better understanding of that in the regime relationships

Some of the problems of patients with cancer are non-adhering to treatment and uncertainty in illness, which are affected by psychological issues and different patient characteristics. So by paying clinical attention to these factors, prognosis and ultimately the quality of life can be improved.This study was aimed to determine correlation between uncertainty in illness, demographic and clinical factors with adherence to treatment in patients with cancer.
This is a correlation study done on 150 patients with cancer referred to Qaem and Omid hospitals of Mashhad. Sampling was based on accessible model and according to criteria of study. The data were collected by using demographic, Michel 's uncertainty in illness and MARS adherence to treatment questionnaire, then analyzed by SPSS version 21,descriptive statistics and statistical tests of Pearson, Spearman and multiple regression with P valueThe results showed there is a significant negative correlation between uncertainty in illness and adherence to treatment(r=-0 /367, p Because of significant correlation between uncertainty in illness and adherence to treatment with significant predictive capability of uncertainty in illness for adherence to treatment, nurses and health care providers with reducer strategies of uncertainty in illness can improve adherence to treatment and ultimately quality of care and life in these patients.

With the advent of the new millennium, there have been many advances in engineering science, but predicting the alluvial stream response to man-made and environmental changes is still waiting for a logical and understandable method. Rivers tend to adapt to the incurred changes by their hydraulic geometry adjustment. This adaptation is done in order to carry imposed water and sediment by adjusting the width, depth, velocity and stream longitudinal profiles. Therefore, predicting the response of hydraulic geometry is a primary engineering task to manage, design and train the rivers. Hence, in this paper, according to the downstream hydraulic geometry and the fellow regime theory proposed, and the landscape of predicting the river morphological response in
the civil engineering's literature, an analytical model is proposed for assessing the stable condition (static and dynamic stabilities), and downstream hydraulic geometry relationships to be applicable to the rivers with the dominant bed load were derived. For this purpose, after reviewing the previous studies in this field, a system of equations was solved without including bank stability constraint (unconstrained model) by using the analytical model. Due to the lack of the required equations to the self-adjusting mechanism of alluvial channels and solving the system, extremal hypotheses were used. The river behavior is justified in order to optimize a specific morphologic parameter based on these theories. A good agreement between the developed exponents of hydraulic geometry relationships and the results of the empirical and analytical hydraulic geometry relationships were observed in this paper. This represents the self-adjusting mechanism of alluvial channels by introducing the channel shape factor (bed width/depth ratio) and the inclusion of extremal hypotheses in the flow governing equations (continuity, flow resistance and sediment transport equations). Finally, the developed model was calibrated using the field data of the United Kingdom and Iran. Obtained results confirmed the efficiency of the proposed model in rivers with high bank stability. This is due to the fact that, based on the developed analytical model, the ratio of calculated to observed widths, in 58 gauging stations located in the UK, varies on average from 0.40 to 0.72 in rivers with sparse and dense vegetation, respectively.

Development of erosion and sedimentation processes due to human activities or natural changes will threaten the stability of the rivers and cause hydraulic and morphological changes. Continuous changes will result in a lot of damages including damage to structures constructed in the rivers. Therefore, preserving the rivers in the equilibrium (regime) state is of great importance. In other words, determination of the stable hydraulic geometry of the rivers is one of the most important cases on which the design, planning, management and training of the river are founded. Two basic approaches have been used to predict the hydraulic geometry of gravel-bed rivers: (1) Those based on empirical regime equations; and (2) those based on the simultaneous solution of the equations governing channel flow. Currently there are considerable restrictions with the use of both methods for channel design purposes. Existing experimental hydraulic geometry relationships have been obtained for particular field conditions and based on limited data, and can be used only under the same conditions. Equally theoretical methods are applicable only to straight or fixed width and with static stability channels, due to our lack of knowledge regarding the mechanisms controlling width adjustment and meander development, a large number of theories have been developed in this regard that the basic assumptions of all include a steady and uniform flow as well as stream changes toward the equilibrium state and the main difference between these theories is the hydraulic mechanisms employed by the models to describe how the stream reaches the equilibrium state. In this Paper, an analytical model for assessing the stable condition (static and dynamic stability) and predicting river response to the applied changes (such as hydraulic changes) was proposed and univariate and bivariate hydraulic geometry relationships to be applicable in the rivers with dominant bed load, were derived. For this purpose, after reviewing the previous researches in this field, the principles and concepts of the regime and hydraulic geometry were presented. In the next step, by using the analytical model, a system of equations was solved without including bank stability constraint (unconstrained model). Due to lack of required equations to solve the system, extremal hypotheses were used. According to these theories, the river behavior is justified in order to optimize a specific morphologic parameter. a good agreement was observed between the developed exponents of hydraulic geometry relationships in this paper and the results of the empirical and analytical hydraulic geometry relationships. This represents the self-adjusting mechanism of alluvial channels by introducing the channel shape factor (bed width/depth ratio) and the inclusion of extremal hypotheses in the flow governing equations (continuity, flow resistance and sediment transport equations). Finally, developed model were calibrated using the field data of the United Kingdom and the mean relative error of the bankfull width and depth calculation is obtained 47% and 35%, respectively. obtained results confirmed the efficiency of the proposed model.
Development of erosion and sedimentation processes due to human activities or natural changes will threaten the stability of the rivers and cause changes

Extremal hypotheses without bank stability constraint typically over-predict and under-predict alluvial channel width in large rivers and natural streams, respectively. While this process may appear inversely for the depth. In general, results obtained from unconstrained extremal hypotheses are indicative of inappropriate agreement between computed and observed dimensions of the rivers. Such discrepancies between regime model predictions and observed channel widths have been used to argue that optimizations such as MSTC do not describe the behavior of alluvial systems. However, extremal hypothesis models that explicitly consider bank stability exhibit no such bias and can predict alluvial channel widths quite accurately. One of the important factors in disparity of the data may be lack of appropriate relationship to assess bank vegetation of the rivers. For this reason, a modified analytical model has been developed to reduce the effect of bias by considering boundary shear stress, bank stability and vegetation. The model takes into account channel shape factor, bed load equations in the form of excess shear stress and vegetation quantification (i.e. using bank material friction angle) which enables one to predict optimal channel geometry dimensions. Finally, developed model was calibrated using the field data of the rivers in the United Kingdom and Iran. In addition to indicating the effect of bank stability and vegetation on estimation of the geometric characteristics of the channel, the results obtained also confirmed the efficiency of the constrained model in comparison to the unconstrained one.