مطالب

Objective: The present study aimed to explore the process of meaning formation in adolescents. Methods: The research method was qualitative and utilized a grounded theory approach. The research population consisted of adolescents aged 12–20 years in Isfahan, Iran. Sampling was conducted theoretically. Nine participants were included in the study, and data collection was carried out through semi-structured interviews. The data analysis process followed Glaser's (1987) methodology. At the end of the coding stages, the final model of the study was presented. Findings: The results revealed that meaning formation in adolescents occurs through five stages: the occurrence of conflict (a triggering event), expression of conflict (problematic coping with a painful and damaging context, emotional confusion, and protesting against meaning), confrontation with conflict (addressing unclear feelings, focusing on core pain (self-awareness), and developing acceptance capacity), processing conflict (recalling the experience, exploring, expanding and deepening, gaining insight into unmet needs, and processing and accepting one's and others' experiences), and the emergence of resolution and achieving integration (softening and adopting a new perspective, manifesting agency (decision-making), generating experience, and integrating with prior experiences). Conclusion: Based on the findings, it can be inferred that meaning formation in adolescents occurs as a process. Therefore, it can be concluded that the journey toward finding meaning is not a fixed or instantaneous event but a continuous and evolving process shaped by various experiences and reflections. This process unfolds as a series of interrelated stages, reflecting a dynamic and transformative approach to navigating and understanding significant life changes. This structured delineation of stages provides valuable insights into how individuals actively engage with and create meaning when encountering transformative moments.

Objective: The present study aimed to compare the effectiveness of Acceptance and Commitment Therapy (ACT) and Solution-Focused Therapy (SFT) on marital quality of life and sexual communication intelligence in couples experiencing marital conflicts. Methods: This study was applied in terms of its objective and employed a quasi-experimental design with a pretest-posttest structure, a two-month follow-up, and a control group for data collection. The statistical population consisted of all couples aged 25 to 40 who had marital conflicts and visited counseling and psychology clinics in District 13 of Tehran in 2023. From this population, 45 couples were selected using purposive sampling. The research instruments included the Sexual Communication Intelligence Questionnaire (Dehkordi et al., 2021) and the Marital Quality of Life Questionnaire (Babci et al., 1995), which were completed by the couples. One group underwent Solution-Focused Therapy in eight 90-minute sessions, while the other group received Acceptance and Commitment Therapy in ten 90-minute sessions. Data analysis was conducted using repeated measures ANOVA in SPSS software. Findings: The results indicated that Acceptance and Commitment Therapy had a positive effect on marital quality of life and sexual communication intelligence. Additionally, Solution-Focused Therapy was also effective in improving these two components (p < .05). Conclusion: The findings of this study demonstrate the effectiveness of both therapeutic approaches—Solution-Focused Therapy and Acceptance and Commitment Therapy—on marital quality of life and sexual communication intelligence. A comparison of the two methods revealed that Acceptance and Commitment Therapy was more effective than Solution-Focused Therapy.

Objective: This study aimed to explore how parents in mixed heritage families in Malaysia engage in ethnic-racial socialization and transmit cultural identity to their children within the context of a multicultural society. Methods: Using a qualitative grounded theory approach, data were collected through semi-structured interviews with 25 parents from diverse mixed heritage backgrounds residing in Malaysia. Participants were selected through purposive sampling and theoretical saturation guided the endpoint of data collection. Interviews focused on participants’ practices, challenges, and perspectives regarding cultural identity transmission in the home. Verbatim transcripts were analyzed using NVivo software, employing open, axial, and selective coding to generate a conceptual framework grounded in participants’ narratives. Findings: Five main categories emerged: Cultural Identity Transmission, Language and Communication, Navigating Racial Bias, Family Dynamics, and Community and Social Engagement. Parents engaged in intentional practices such as storytelling, celebration of traditions, and bilingual upbringing to reinforce cultural heritage. They also described emotional and strategic responses to racial bias, as well as negotiation between co-parenting and intergenerational influences. Language was both a bridge and a barrier, shaping identity and familial cohesion. Parents sought external support through cultural events and digital communities to validate and enrich their children’s mixed identities. These findings highlight the emotional labor and adaptive strategies involved in raising bicultural children in socially stratified environments. Conclusion: Ethnic-racial socialization in mixed heritage families is a complex, multifaceted process involving intentional practices, emotional negotiations, and contextual adaptations. Parents act as cultural mediators, balancing heritage preservation with societal integration.

Objective: The objective of this study is to explore the lived experiences of Zoroastrian-Muslim interfaith marriages in Iranian society, focusing on the challenges, outcomes, and strategies adopted by couples. Methods: This qualitative study employed interpretative phenomenological analysis (IPA) to understand the participants' perspectives. Data were collected through in-depth, semi-structured interviews with 13 male participants involved in interfaith marriages between Zoroastrians and Muslims in Iran. Theoretical sampling was used, and interviews were analyzed using open, axial, and selective coding, with data saturation achieved after the 13th interview. The Atlas.ti software was used for coding and analysis to derive themes from the participants' narratives. Findings: The findings reveal both positive and negative outcomes of interfaith marriages. Negative consequences include social exclusion, personal dissatisfaction, and emotional stress due to religious and cultural conflicts. These challenges were exacerbated by legal constraints, such as the requirement for non-Muslims to convert to Islam for formal marriage registration. On the other hand, positive outcomes included personal growth, intellectual development, and enhanced social cohesion through exposure to different religious and cultural perspectives. Acceptance of differences and maturity were key factors in successful marriages. Social exclusion and family opposition were prevalent but varied based on gender and minority status. Conclusion: Interfaith marriages in Iran, particularly between Zoroastrians and Muslims, are fraught with complexities. While many couples experience significant challenges related to social exclusion and cultural conflicts, others find personal growth and mutual understanding through their relationships. These marriages reflect broader societal dynamics, where religious hegemony and legal frameworks play crucial roles in shaping outcomes. The study highlights the need for legal reforms and social support to foster inclusivity in interfaith marriages.

Objective: Despite the renewed interest in individual differences in second language acquisition (SLA), there is still limited research on the interconnections among regulatory focus (promotion and prevention), L2 grit (Consisting of perseverance of effort and consistency of interests), and emotions. Methods: A total of 85 undergraduate English majors (54 women, mean age = 20 years) from two comprehensive universities in Iran took part in the research. In order to assess the participants' promotion and prevention focuses, L2 grit, and English writing enjoyment, three questionnaires were used. The data collected was analyzed using IBM SPSS (26.0) software. Results: The correlational analysis revealed that regulatory focus, L2 grit, and L2 writing enjoyment are interconnected. Specifically, promotion focus positively correlated with L2 writing enjoyment and L2 grit. Additionally, L2 grit (Perseverance of Effort) showed a meaningful connection with L2 writing enjoyment. On the other hand, prevention focus demonstrated significant negative correlations with L2 writing enjoyment and L2 grit. Lastly, there was no significant relationship found between L2 Grit (consistency of interest) and L2 Writing Enjoyment. Conclusions: The study's results demonstrate the crucial findings regarding the interplay between different dimensions of grit, emotion and personal best goals.

Recent advancements in neurophysiological recording technologies have led to significant complexities in managing large-scale neural data, creating potential bottlenecks in the storage, sharing, and processing within the neuroscience community. To address these challenges, we developed the Big Neuronal Data Framework (BNDF), a distributed high-performance computing (HPC) solution. BNDF leverages open-source big data frameworks, Hadoop and Spark, to offer a flexible and scalable architecture. We tested BNDF on three large-scale electrophysiological datasets from nonhuman primate brains, demonstrating improved runtimes and scalability due to its distributed design. In comparative analyses against MATLAB, a widely used platform, BNDF showcased over five times faster performance in spike sorting, a common task in neuroscience. This significant speed advantage highlights BNDF’s potential to enhance the efficiency of neural data processing and analysis, making it a valuable tool for researchers navigating the complexities of modern neural datasets. Overall, BNDF represents a promising approach to streamline the handling of extensive neural data in the field of neuroscience.