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This paper proposes an approach to analyze an event log of a business process in order to generate case-level recommendations of treatments that maximize the probability of a given outcome. Users classify the attributes in the event log into controllable and non-controllable, where the former correspond to attributes that can be altered during an execution of the process (the possible treatments). We use an action rule mining technique to identify treatments that co-occur with the outcome under some conditions. Since action rules are generated based on correlation rather than causation, we then use a causal machine learning technique, specifically uplift trees, to discover subgroups of cases for which a treatment has a high causal effect on the outcome after adjusting for confounding variables. We test the relevance of this approach using an event log of a loan application process and compare our findings with recommendations manually produced by process mining experts.

Reducing cycle time is a recurrent concern in the field of business process management. Depending on the process, various interventions may be triggered to reduce the cycle time of a case, for example, using a faster shipping service in an order-to-delivery process or giving a phone call to a customer to obtain missing information rather than waiting passively. Each of these interventions comes with a cost. This paper tackles the problem of determining if and when to trigger a time-reducing intervention in a way that maximizes the total net gain. The paper proposes a prescriptive process monitoring method that uses orthogonal random forest models to estimate the causal effect of triggering a time-reducing intervention for each ongoing case of a process. Based on this causal effect estimate, the method triggers interventions according to a userdefined policy. The method is evaluated on two real-life logs.

Domestic violence against females is a very common issue In any culture, religion and ethnicity and several reasons are found to be related with it which probably cause serious health outcomes. The study was undertaken to examine the perceived stress, life satisfaction and self-esteem among females facing domestic violence. It was a correlation research study being conducted in three different centers i.e. Dar-ul-Amaan, Dastak Shelter Homes and Shaheed Benazir Bhutto Human Rights Centre for Women, Lahore Pakistan. Total sample size was 100 subjects who were selected for data collection. Purposive sampling technique was used for data collection, Perceived Stress Scale (PSS) was used for measuring mental stress level [1], Satisfaction with Life Scale (SWLS) and Rosenberg Self-esteem Scale (RSE) were used to measure a singular's emotions of self-esteem [2, 3]. The data was analyzed using the Statistical Package for Social Sciences (SPSS version 18.0) by keeping 0.05 level of significance. A total of 80 subjects were approached in the study, weak negative relationship between perceived stress and life satisfaction was r (80) =-0.385, p<0.001 and our hypothesis I was accepted; A linear regression analysis revealed that perceived stress was a significant predictor of life satisfaction (β=0.40, p= 0.008) accounting for 16% of the variance in life satisfaction. Concerning the relationship between perceived stress and self-esteem highlights an insignificant relationship was found; r(80)=0.145, p=0.705 thus Hypothesis II was rejected. Also the relationship between life satisfaction and self-esteem was not significant r(80)=0.043, p=0.199 and hypothesis III was rejected. There was considerable negative relationship observed between perceived stress and life satisfaction among females facing domestic violence, an insignificant relationship between life satisfaction and self-esteem and similarly insignificant relationship between perceived stress and self-esteem was found among females facing domestic violence.

This study aims to investigate the relationship between the religious attitude, self-efficacy, and life satisfaction in high school teachers of Mahshahr City. To this end, 253 people of all high school teachers in Mahshahr City, in Iran were selected as the sample using the multistage cluster sampling method. For data collection, Glock and Stark's (1965) religious attitude questionnaires, Schwartz and Jerusalem's general self-efficacy questionnaire and Diener et al. 's (1985) life satisfaction questionnaire were used. For data analysis, Pearson's correlation coefficient was used. Results showed that there is a positive and meaningful relationship between the religious attitude and life satisfaction. In addition, there is a meaningful relationship between the religious attitude and self-efficacy. Results also showed that religious attitude and self-efficacy can predict the life satisfaction.

This study aims to investigate the relationship between the spiritual intelligence, self-control, and life satisfaction in high school teachers of Mahshahr city. To this end, 253 people of all high school teachers in Mahshahr city were selected as the sample using the multistage cluster sampling method. For data collection, King's (2008) spiritual intelligence questionnaire, Schneider's self-control questionnaire and Diener et al. (1985) life satisfaction questionnaire were used. For data analysis, Pearson's correlation coefficient was used. Results showed that there is a positive and meaningful relationship between the self-control and life satisfaction. However, there is no a meaningful relationship between the spiritual intelligence and life satisfaction. Results also showed that spiritual intelligence and self-control can predict the life satisfaction.

<p>This study aims to determine the relationship between resilience, psychological hardiness, spiritual intelligence, and development of the moral judgment of the female students in 2014. The research sample included 200 female high school students of District 2, Ahvaz-Iran in educational year of 2014-15 that were selected using the available sampling method. In this paper, for measuring the resilience, psychological hardiness, and spiritual intelligence, resilience scale, Ahvaz Hardiness questionnaire, and moral judgment questionnaire were used, respectively. For data analysis, in addition to the descriptive statistics, inferential statistical such as Pearson's correlation coefficient and multivariate regression analysis using the simultaneous method was used. Data analysis showed that there is a positive and significant relationship between the psychological hardiness, spiritual intelligence, and growth of the moral judgment. Moreover, results of the regression analysis showed that predictor variables are effective in clarifying the 0.41 of the variance of the spiritual intelligence development of the students. </p>

Background: Math anxiety (MA) emerges as a state of discomfort and anxiety when a student is faced with a math problem. Objectives: The present study aimed to investigate the association between self-esteem and classroom environment perceptions with math anxiety through the mediating role of mathematics self-concept (MSC) in female high school students. Methods: This descriptive-correlational study was conducted on all the female high school students in Ahvaz, Iran in the academic year 2020 - 2021. In total, 237 students were selected as the sample population via single-stage cluster sampling. Data were collected using the Math Anxiety questionnaire (MAQ), Self-Esteem questionnaire (SEQ), Dundee Ready Educational Environment measure (DREEM), and Mathematical Self-Concept questionnaire (MSCQ). The proposed research model was evaluated using structural equation modeling. Results: With the exception of self-esteem and classroom environment perceptions (CEPs), all the direct paths were significantly correlated with MA (P = 0.001). Moreover, the indirect paths of self-esteem were significantly correlated with MA considering the mediating role of MSC (β = -0.240; P = 0.002). Furthermore, a significant association was observed between CEP and MA, mediated by MSC (β = -0.129; P = 0.001). Conclusions: According to the results, the proposed model had a good fit and could be an important step in identifying the influential factors in the MA of students.