Coronvirus desies and its consequences have caused concern among various segments of society. In particular, the change in teaching methods from online to face-to-face training and the damage caused by this process in some cases has made this educational process difficult. Thus, identifying students' concerns and understanding the predictions of anxiety in the reopening of educational institutions will allow us to address the roots of this factor after the Corona epidemic and the reopening of schools.. This research is a qualitative research and content analysis and its statistical population is high school students in Tehran at the time of reopening of schools after the Corona epidemic. From this statistical population, 40 male and female subjects who met the research criteria were selected. After interviewing the subjects and analyzing them, sub-themes and main themes have been identified and classified.

Sentiment analysis, also called opinion mining, is one of the sub-areas of natural language processing that aims to classify texts according to the sentiments, beliefs and attitudes expressed in them. In the most current research, texts are divided into two "positive" and "negative" categories. However, there are also other categories such as good/bad" and agree/disagree, every one of which has its applications. The purpose of this paper is to analyze the opinions expressed by users on social media about the reopening of schools during the Covid-19 outbreak using supervised machine learning techniques, and to classify them into two "agree" and "disagree" categories. Users' opinions, in this paper, are in Persian. The lack of sufficient datasets and also the low accuracy of natural language processing tools are the most important problems of text processing in Persian. Due to the mentioned limitations, the use of supervised machine learning algorithms and also the extraction of effective features for training machine learning classifiers in Persian are facing a serious challenge. In this paper, first, a small dataset of the users' opinions about the reopening of schools was collected and manually labeled. Then, a combined method was used for data augmentation of the dataset. In the proposed method, first, Persian sentences were translated into English. Then nouns, verbs and adjectives of the English sentences were replaced with their synonyms. Next, the English sentences were translated into Persian again. The new sentence with the class label of the initial sentence was added to the training set. Thus, the size of the training set increased by 97 percent. After that, the efficiency of employing the common pre-processing steps and using common feature sets in sentiment analysis of the English texts for Persian were evaluated and the best of them were selected. Considering the low accuracy of the Persian natural language processing tools, it was tried to select those features that were less dependent on the tools. Finally, machine learning classification was used to determine agree/disagree class of the user opinions of the test sets. The results of the experiments indicated that by applying the proposed method for data augmentation and using selected features in this paper, 81 and 79 percent precision was obtained for the polarity classification of opinions using SVM and CNN algorithms, respectively.

Although infection and mortality rates have decreased, COVID-19-related anxiety persists in families, especially among mothers, even during the post-pandemic period. Maternal mental health issues may jeopardize various aspects of children's development. This study aims to explore the correlation between maternal COVID-related anxiety and their children's anxiety following the reopening of primary schools in the post-pandemic era. This analytical cross-sectional study selected 305 pairs of mothers and children. Data collection instruments comprised demographic questionnaires and assessments of COVID-related anxiety and manifest anxiety. Statistical analyses encompassed independent t-tests, one-way analysis of variance, and multivariate regression. Results showed that Children's manifest anxiety was predicted by maternal anxiety related to COVID-19 (B = 0.907, P<0.001). Moreover, significant associations were observed between the mean difference in mothers' COVID anxiety scores and their educational attainment and occupation, as well as their children's education and age, residential area, and husbands' education and occupation (P<0.001). Conversely, no significant differences were detected in maternal COVID anxiety scores concerning maternal age, spouse's age, and child's gender. In conclusions given the study's findings, it is recommended that nurses and psychologists should provide educational interventions for mothers who need psychological support.

Physical activity is a broad term that encompasses all human motion at home, school, the workplace, and the community. 1 As indicated in the Bangkok Declaration of the International Society for Physical Activity and Health (ISPAH), physical activity benefits both individuals and society, contributing to many of the United Nations sustainable developmental goals. 2 Physical activity is associated with positive health outcomes in children and adolescents, whereas excessive time spent on sedentary activities is related to negative health outcomes. 3 Concerns about diminishing levels of physical activity and their impact on health outcomes have driven various national and international regulatory bodies to create guidelines with recommendations for policymakers, practitioners, and individuals over the last three decades. 4 Therefore, the World Health Assembly has established two goals: a 10% decrease in worldwide physical inactivity by 2025,and a 15% decrease by 2030. 5 Due to the health advantages of regular physical activity, the World Health Organization (WHO) recommends that individuals aged 5–, 17 years engage in at least 60 minutes of moderate-to vigorousintensity physical activity every day throughout the week. 2 In addition, vigorous-intensity activities, including aerobic and activities that strengthen bones and muscles, should be performed at least three days a week...

Purpose: Managers are one of the important elements of an organization, for this reason, in order to draw the future of the organization, it is necessary for the planners to specify the conditions of their selection and appointment. Therefore, the current research has been done with the aim of identifying and analyzing the components of selecting future principals.Method: In this research, comparative and benchmarking method is used as a prospective approach. This approach is based on the belief that today's advanced organizations/countries can be considered as a model for the future of another organization/countries in their respective subjects. For this, first, the fields of comparison and benchmarking were determined using Brody's four-step comparison method; then the countries of Canada, Finland, Australia, South Africa, and Japan were selected according to the qualitative balance value in the international advanced TEAMS test, human development index, life quality index(health, instruction, and welfare), education quality index, and other scientific-scholarly indexes; finally, by extracting the criteria for the selection and appointment of principals through content analysis and comparison with Iran, the proposed framework for Iran has been presented.Findings: A total of 61 components for the selection of secondary school principals were identified from among the studies conducted in the selected countries in this article. By extracting the commonalities and differences of each of the components among the countries, it was found that the highest index of manager selection and appointment belongs to Japan and the lowest one is related to Finland.Conclusion: There are similarities between the components of selection of principals of secondary schools in Iran and selected countries. In Iran, special attention should be paid to important components such as adherence to religious principles, appropriate personality traits, creativity and innovation, motivation to develop capabilities, professional growth, power of supervision and accountability, social image, leader skills, and purposefulness and foresight.