Knowing the components of economic education provides the dynamic background of education in this field. The aim of the current research is to investigate the indicators and components of the economic education curriculum. The approach of the current research is qualitative and its method is research synthesis. The research community is all the articles (211 articles) that have been presented from 1390 to 1401 AD and from 2010 to 2022 AD regarding economic education in curricula. The sample of the research is 32 articles, which were selected based on thematic monitoring, theoretical data saturation, and purposefully. The research data were collected from the qualitative analysis of the studied articles. By analyzing the data, the dimensions of vitality in the curriculum of the elementary school in 4 factors and 55 categories including the dimension of individual factors (including indicators and components related to personality characteristics); The dimension of culture and economic ethics (economic fields in the society); The dimension of economic concepts and knowledge (indices in economic education) and the dimension of collective and communication concepts (communication and interaction indicators in education) were classified. Economic education is dependent on internal and external components in educational systems, which requires macro-planning in this field.

Abstract: This study sought to answer the question of what are the causes of marital infidelity in the Iranian family. To Answer the Research Question, Qualitative Meta-Synthesis (QMS) Method Were Used. Then, 78 Scientific Papers Which Were Considered Marital Infidelity in Iran were identified and were Analyzed. The results showed that the factors of infidelity in Iran can be classified into 9 main categories, including: 1. Social factors, 2. Psychological factors, 3. Cultural factors, 4. Family factors, 5. Personal factors, 6. Relational factors, 7. Economic factors, 8. Media factors, 9. Contextual factors. Each of the main Categories is divided into Different Subcategories. The Social Factors of infidelity were including “Infidelity Opportunities”, “Friend groups” and “Environmental Conditions”. Psychological Factors of Infidelity Were Including “Personality Type”, “Attachment Styles”, and their “Love Schema”. Cultural Factors have Pointed to “Change in Beliefs and values” and “the level of Religious Education” of people. The Family Factors were including “Inappropriate Marriage”, “Family Conflict” and “the Kind of Family Background of people”. The Personal Factors are “Sexual Dissatisfaction”, “Emotional Dissatisfaction”, “the Feeling of Loneliness”, “the Spouse Unavailability”, “Weakness in Controlling Spouse”, “Domestic Violence”, “Revenge of the Spouse” and “the Role of the Third Person in the Relationship”. The Economic factors are including “the Economic Status of the person”, “the Role of Economic Problems”, “the motivation of entering into infidelity under the Pretext of Job promotion”. The media Factors Were Emphasized on “weakening Iranian Values through Social Media Networks and Foreign Satellite Channels” and “Producing of New Needs by Media”. Finally, the Contextual Factors were including the Role of “Age” and “Gender” in the Infidelity. Findings showed that Infidelity Occurred in the group of men and youth in Iran, more than other Social Groups.

Considering the importance of solidarity as a theoretical and political structure and its connection with social harmony, acceptability and political legitimacy, the present research has conceptualized and formulated the problem of solidarity in the context of Iran's multi-ethnic society through the mediation of existing studies. . In the current research, the hybrid method has been used. The sample and statistical population of the research includes selected qualitative studies that have investigated the issue of solidarity and its dimensions in Iran from different aspects and perspectives in the period from 1372 to 1398. After searching in different databases, 500 related articles, books and research reports were identified and finally 54 sources were selected to perform the meta-combination method. Based on the synthesis of studies, solidarity in the multi-ethnic society of Iran has found a problematic situation. The results of the research confirm that the coordinates of solidarity in Iranian society are based on structural contexts and conditions. The main field in which the issue of solidarity in Iran should be established is the acceptance of a reality called "reliability and stability of cultural diversity". Based on the meta-combination of studies, the coordinates of solidarity in Iran's multi-ethnic society, due to "intercultural affinities", "disruption and non-inclusion in ethnic policies", "instability and imbalance of development", "inefficiency of ethnic political management" and "identification disorder". In the meantime, "cultural globalization", "taking role models from ethnic elites", "geopolitics of ethnic areas and transnational interventions" and "ethnic extension" are considered as intervening conditions. Despite the fact that ethnic and religious diversity is recognized as a central sign in the constitution, with this definition, political agents have sometimes resorted to strategies that social suffering and extroversion has formed in ethnic communities.

This review paper provides an overview of the various methods used for the synthesis of tricyclic antidepressants. Tricyclic antidepressants are a class of drugs that have been used for decades to treat various mood disorders. The paper discusses the historical development of tricyclic antidepressants and the importance of their synthesis in pharmaceutical research. It also examines the different synthetic routes and methodologies employed for the production of these compounds, including classical and modern approaches. Furthermore, the review explores the advantages and limitations of each method, as well as the recent advancements in the field. The aim of this paper is to provide a comprehensive understanding of the synthesis methods of tricyclic antidepressants, which could be valuable for researchers and pharmaceutical professionals in the development of new antidepressant drugs.

Two mixtures consisting of calcium carbonate- zirconia and dolomite- zirconia with the molar ratio of 1:1 were prepared. After mixing the powders, the samples were pressed and then fired at different temperatures between 1300 to 1670oC. The phase evaluation was done by X-ray diffraction (XRD) method. Calcium zirconate was formed in all samples. At 1300oC, monoclinic zirconia phase was observed whose intensity in the samples containing dolomite was greater than those of other samples. With increasing temperature, the intensity of ZrO2 phase decreased and calcia stabilized zirconia (Ca0.15Zr0.85O1.85) was observed. The intensity of this phase in the samples containing dolomite was greater than those of other samples.

Since the discovery of Ti3C2 MXene in 2011, continuous research has been carried out in the development of new MAX phases and the extraction of MXene from them. MXene has a series of exceptional properties due to its unique structure, excellent hydrophilicity, and conductivity of adjustable surface chemical functional groups. In this paper, a comprehensive review of the etchants widely used for the etching of A element from MAX phases leading to the formation of Maxene is also discussed. Similar to other 2D materials, due to strong van der Waals forces, MXene layers inevitably undergo stacking, leading to a severe loss of electrochemically active sites. If the accumulation of MXene layers can be prevented effectively, their electrochemical performance will increase. Therefore, in the next part of the article, the compounds that lead to an increase in the distance between the MXene layers are introduced, and finally the surface terminals such as -O, -OH, -F groups in MXene, which significantly affect their properties, are presented.

Automatic topic detection seems unavoidable in social media analysis due to big text data which their users generate. Clustering-based methods are one of the most important and up-to-date categories in topic detection. The goal of this research is to have a wide study on this category. Therefore, this paper aims to study the main components of clustering-based-topic-detection, which are embedding methods, distance metrics, and clustering algorithms. Transfer learning and consequently pretrained language models and word embeddings have been considered in recent years. Regarding the importance of embedding methods, the efficiency of five new embedding methods, from earlier to recent ones, are compared in this paper. To conduct our study, two commonly used distance metrics, in addition to five important clustering algorithms in the field of topic detection, are implemented by the authors. As COVID-19 has turned into a hot trending topic on social networks in recent years, a dataset including one-month tweets collected with COVID-19-related hashtags is used for this study. More than 7500 experiments are performed to determine tunable parameters. Then all combinations of embedding methods, distance metrics and clustering algorithms (50 combinations) are evaluated using Silhouette metric. Results show that T5 strongly outperforms other embedding methods, cosine distance is weakly better than other distance metrics, and DBSCAN is superior to other clustering algorithms.