مطالب

Diseases like diabetes are chronic and require long-term management. Inadequate production of insulin results in high blood sugar levels. Such diseases lead to serious health issues such as heart ailments, blood vessel complaints, eye ailments, kidney function disorders, and nerve ailments. Hence, accurate assessment and management of risk factors are crucial for the onset of diabetes. Our proposed approach combines fuzzy logic & machine learning algorithms for diabetes risk prediction. Three machine learning models were trained to classify patients into two categories of diabetes (Type-I and Type-II) based on their clinical dataset collected from Katihar Medical College & Hospital and Suvadhan Lab. The polynomial regression algorithm achieved a score of 0.947, while the support vector regression algorithm with the rbf kernel achieved a score of 0.954, with a linear kernel achieved a score of 0.73. Our proposed approach performed well with respect to the conventional approaches with improved accuracy by identifying the patients at diabetes risk. In future work, we further analyze the relationship between other ignored factors which contribute to diabetes risk.

Purpose: The Purpose of this paper is to explain the nature and process of digital transformation.Methodology: Its methodology is based on a structured literature review (SLR) and searching scientific sites and specialized resources. One roadmap model, six maturity assessment models, three digital business model transformation approaches and eight digital transformation frameworks are explained interpretively.Findings: Digital transformation is  a strategy and an operating model change, in which technological advancements are leveraged to improve human experiences and operating efficiencies and to evolve the products and services to which customers will remain loyal. A review of research in this field shows that the nature of digital transformation depends on knowledge and knowledge is formed as a valuable asset in people's minds. Therefore, the role of human resources in creating and achieving the transformation is important and fundamental. Findings show that no digital transformation is only technological, it is organizational and requires its own planning, resources and rules. It is clear that we need a model in this kind of transformation journey. Staff capital and its empowerment by knowledge and fundamental requirements are important for success in the digital transformation program. Transformation in culture, in structure, in processes and methods, along with the benefits of the frontier technologies, will lead to a dramatic transformation in the field of business. The environment of organizations is changing faster and has become more volatile, uncertain and complex than in the past. Rapid changes in competition, demand, technology and regulations make it more important than ever for organizations to be able to respond and adapt to their environment. In this context, the pressure on firms to align their business strategy with the technological changes in the environment has significantly increased with the emergence and growing importance of new digital technologies, such as Social Media, Cloud Computing, Big Data and Analytics, Embedded Devices, 3D-Printing, the Internet of Things and Artificial Intelligence. They are profoundly transforming the strategic context of organizations: changing the structure of competition, the behavior and expectations of customers, the way business is conducted, the way products are manufactured and services are delivered, the way of working and, ultimately, entire industries. The growth of technology, in addition to transforming organizational boundaries, has also improved knowledge sharing. As the results indicate, the digital age refers to a time in history when the use of digital technology was generalized throughout the world. We are on the verge of a technological revolution that will fundamentally change the way we live, work and communicate with each other. In terms of scale, scope, and complexity, this transformation will be different from what mankind has already experienced.Conclusion: Digital transformation has affected the work processes of individuals in organizational environments. New methods in combining digital innovations and intensifying inter-organizational collaboration are among the key features of success. Because the goal of digital transformation is a business transformation, it requires different organizational elements, which are explained in the frameworks, to work together like a piece of music in a concert with different instruments played harmoniously and simultaneously

The purpose of this study was to investigate the effect of Yoga on women's anxiety. This research was quasi-experimental. The statistical population of the research included women who visited Yoga clubs in Rasht city in 2021. For this purpose, 30 women who had a high score according to the Beck Anxiety Questionnaire (BAI) were selected as a purposive sampling and divided into two experimental (15 people) and control (15 people) groups. Then, Yoga exercises were performed for 8 ninety-minute sessions for the participants of the experimental group, and the control group did not receive any exercises during this period. Then the said questionnaire was again implemented on both groups. The data were analyzed using covariance analysis and SPSS27 software. The results showed that Yoga exercise was effective in reducing women's anxiety (p < 0.05). Therefore, it can be concluded that counselors, psychologists and psychiatrists can use Yoga exercises to reduce women's anxiety.

The present study was conducted with the aim of investigating the causal model of the relationship between cognitive regulation of emotion and the quality of committed relationships of couples with the mediation of mindfulness. The design of the present research was a correlational description. The statistical population of the present study included married women in Bandar Ganaveh in 2022, of which 263 were selected by Convenience sampling sampling. The data collection tools in the present study included Cognitive Emotional Regulation Questionnaire (CERQ), Marital Commitment Questionnaire (DCI) and Freiburg Mind-Awareness Questionnaire-Short Form (FMI) which were completed online. Structural equation modeling method were used to check the hypotheses using SPSS22 and Smart PLS3 software. The obtained findings indicated that the research data has a good fit with the proposed model. The results of data analysis showed that the cognitive regulation of emotion has a positive and direct effect on the quality of committed relationships of couples (p<0.05). Also, there is a positive and direct effect mindfulness and the quality of committed relationships of couples (p<0.05). There is an indirect and effect the cognitive regulation of emotion through mindfulness on the quality of committed relationships of couples (p<0.05). We conclude from this research that; Strengthening the cognitive regulation skills of emotion and mindfulness is related to more committed relationships in married women, and counselors of counseling centers can benefit from the results of this research.

Online binge-watching is a common practice nowadays. It is defined as watching multiple episodes in one sitting. It may seem a new phenomenon, but the same mechanism happened to the Persian King and kept him listening to Scheherazade's stories for 1001 nights, which made him forgot about killing young virgin girls and also delayed his bedtime. This study aims to investigate the relationships between these variables in Iranian college students in Ghazvin with a sample of 133 people between the ages of 19 and 25 using brief self-control scale (BSCS), bedtime procrastination scale (BPS), and binge-watching addiction questionnaire (BWAQ). The research indicates that there is a notable negative correlation between online binge-watching and self-control (r = -.443, p < .001). Also, a negative relationship between self-control and bedtime procrastination was found (r = -.360, p < .001). Further, a positive correlation between online binge-watching and bedtime procrastination was detected (r = .307, p < .001). The problematic binge-watching can be identified by the motives and cognitive processes underlying this phenomenon, such as narrative transportation. Ways to prevent mental illness caused by them and future research paths are discussed.

This study aimed to examine the effectiveness of acceptance and commitment therapy (ACT) on suicidal ideation, emotional self-regulation, and psychological flexibility in adolescents with suicidal ideation who were referred to a social emergency center. The research method was a quasi-experimental pretest-posttest design with a control group. The population of the study included all adolescents with suicidal ideation who visited the counseling center of the social emergency in Astaneh-ye Ashrafiyeh city in 2021. Thirty participants (15 in the control group and 15 in the experimental group) were selected from this population by purposive sampling and randomly assigned to two groups. The experimental group received eight 90-minute sessions of group ACT, while the control group was put on a waiting list. Data were collected using the Acceptance and Action Questionnaire (AAQ-2), the Cognitive Emotion Regulation Questionnaire (CERQ), and the Beck Scale for Suicide Ideation (BSSI). Data were analyzed using the analysis of covariance (ANCOVA) test. The results showed that there was a significant difference between the experimental and control groups in the posttest mean scores of the reappraisal component of emotion regulation and suicidal ideation. However, there was no significant difference in the flexibility and suppression components of emotion regulation. Based on the results of this study, it is recommended that psychologists and psychotherapists working in social emergency centers or with adolescents use the results of this study to improve emotion regulation and reduce suicidal ideation in their adolescent clients

Divorce is an undeniable fact of personal and social life and it happens when the life together is unbearable for the couple. The present study was conducted with the aim of comparing differentiation of self, couple burnout and emotional intimacy in divorce-seeking and normal couples. This research is of comparative causal type. The statistical population of the research included all couples applying for divorce who referred to four counseling centers (Ehya, Khanevade, Negahe No and Hamrah) in Rasht and non-applicant couples living in Rasht in spring and summer of 2022. The investigated sample includes 150 people (75 from divorce-seeking couples and 75 from non-seeking couples) who were selected by convenience sampling method, and were evaluated using the differentiation of self-inventory (DSI), couple burnout measurement (CBM) and personal assessment of intimacy in relationships (PAIR). The data were analyzed using multivariate analysis of variance and independent t-test. The results showed that there is a significant difference between the two groups of divorce applicants and non-divorce applicants in all aspects of differentiation of self, couple burnout and emotional intimacy (P< 0.01). Also, the results of the independent t-test showed that there is a significant difference in the total score of differentiation of self, couple burnout and emotional intimacy between the two groups (P< 0.01) and the mean of differentiation of self and emotional intimacy in the group of couples who did not file for divorce and the mean couple burnout was higher in applicant couples. The results of this research showed that the low level of couple burnout as well as having more differentiation of self and intimacy between couples can provide health and stability in their lives.

This research was conducted with the aim of investigating the relationship between cognitive emotion regulation and executive functions. The research method is descriptive-correlation type. 150 students of Islamic Azad University Science and Research Branch were selected by convenience sampling method and completed research tools including Cognitive Emotion Regulation Questionnaire (CERQ) and Barkley Deficits in Executive Functioning Scale (BDEFS). Data analysis was done with Pearson correlation coefficient and SPSS-22 software. The findings showed that there is a positive and significant relationship between the strategies of emotion regulation of acceptance, positive refocusing, planning, positive reappraisal, and putting into perspective with executive functions, but this relationship were inverse for self-blame, other-blame, catastrophizing and rumination (P < 0.01). According to the findings, it is concluded that constructive strategies of cognitive emotion regulation can be effective in strengthening executive functions, and incorrect strategies of cognitive emotion regulation cause problems in executive functions.Therefore, students should be trained in the field of improving cognitive regulation strategies.