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The personalized psychological intervention optimization system of transformer temporal modeling and deep reinforcement learning collaboration

سیستم بهینه سازی مداخله روانشناختی شخصی مدل سازی زمانی ترانسفورماتور و همکاری یادگیری تقویت عمیق

Zongxiang Zhai

Discover Artificial Intelligence 2026 Vol. 6(1)
https://doi.org/10.1007/s44163-026-02382-x

متن کامل این مقاله در فکر بنیان نیست؛ مشخصات و چکیده را می‌بینید و متن کامل را می‌توانید از طریق DOI در سایت ناشر بخوانید. صفحه‌ی مقاله در سایت ناشر ↗

چکیده

Long-term digital psychological intervention faces issues such as delayed state feedback, observation absence, and scattered individual responses. Static input is difficult to retain cross-period dependencies, and a unified strategy will also widen user differences and cause fluctuations in continuous actions. To address these problems, a personalized intervention system that combines Transformer temporal modeling and proximal policy optimization is constructed. Structured psychological state representation organizes continuous behaviors and subjective feedback into an updateable sequence. The Transformer encoder extracts long-term dependencies and local mutations, the individual embedding absorbs user response deviations, and the Kullback–Leibler (KL) constraint inhibits adjacent strategy jumps. The experiment uses StudentLife data and accompanying simulations, semi-synthetic data. The cumulative reward of the complete model reaches 634.7 ± 21.8, with a 95% confidence interval of 619.11–650.29. The rule strategy, Proximal Policy Optimization (PPO) immediate state model, and the configuration without individual embedding are 412.6 ± 38.4, 528.3 ± 42.7, and 561.9 ± 35.2, respectively. The differences among the three groups, after Holm correction, all reach significant levels ( p < 0.001). The complete model enters the stable range after 1620 rounds, and the variance of the reward after convergence drops to 19.4. The rate of change in emotional intensity, the improvement value of state stability, and the cumulative variance of individual rewards is 0.091, 0.052, and 28.4, respectively. The ablation results show that temporal encoding mainly affects long-term benefits and convergence stability, and individual embedding focuses on reducing the dispersion among users. The existing evidence supports strategy optimization in non-clinical environments, but does not constitute a psychological mechanism explanation, causal effect proof, or clinical effectiveness conclusion.

چکیده به فارسی

مداخله روان‌شناختی دیجیتال بلندمدت با مسائلی نظیر بازخورد تأخیری وضعیت، فقدان مشاهده و پاسخ‌های پراکنده فردی مواجه است. ورودی ایستا در حفظ وابستگی‌های میان‌دوره‌ای دشوار عمل می‌کند و راهبرد یکپارچه نیز تفاوت‌های کاربران را افزایش داده و موجب نوسان در اقدامات پیوسته می‌شود. برای رفع این مشکلات، یک سامانه مداخله شخصی‌سازی‌شده که مدل‌سازی زمانی Transformer و بهینه‌سازی سیاست مجاور (Proximal Policy Optimization) را ترکیب می‌کند، طراحی شده است. بازنمایی ساختاریافته وضعیت روان‌شناختی، رفتارهای پیوسته و بازخوردهای ذهنی را به دنباله‌ای قابل به‌روزرسانی سازمان‌دهی می‌کند. رمزگذار Transformer وابستگی‌های بلندمدت و جهش‌های محلی را استخراج می‌کند، تعبیه فردی (individual embedding) انحرافات پاسخ کاربران را جذب می‌کند و قید کولبک–لیبلر (Kullback–Leibler constraint) از جهش‌های راهبردی مجاور جلوگیری می‌کند. آزمایش با داده‌های StudentLife و شبیه‌سازی‌های همراه، داده‌های نیمه‌مصنوعی، انجام شده است. پاداش تجمعی مدل کامل به ۶۳۴٫۷ ± ۲۱٫۸ با فاصله اطمینان ۹۵٪ برابر با ۶۱۹٫۱۱ تا ۶۵۰٫۲۹ می‌رسد. راهبرد قاعده‌مند، مدل وضعیت فوری Proximal Policy Optimization (PPO) و پیکربندی بدون تعبیه فردی به ترتیب ۴۱۲٫۶ ± ۳۸٫۴، ۵۲۸٫۳ ± ۴۲٫۷ و ۵۶۱٫۹ ± ۳۵٫۲ هستند. تفاوت میان سه گروه، پس از اصلاح Holm، همگی به سطح معناداری (p < 0.001) می‌رسد. مدل کامل پس از ۱۶۲۰ دور به بازه پایدار وارد می‌شود و واریانس پاداش پس از همگرایی به ۱۹٫۴ کاهش می‌یابد. نرخ تغییر شدت هیجانی، مقدار بهبود پایداری وضعیت و واریانس تجمعی پاداش فردی به ترتیب ۰٫۰۹۱، ۰٫۰۵۲ و ۲۸٫۴ است. نتایج حذف اجزا (ablation) نشان می‌دهد که رمزگذاری زمانی عمدتاً بر منافع بلندمدت و پایداری همگرایی اثرگذار است و تعبیه فردی بر کاهش پراکندگی میان کاربران تمرکز دارد. شواهد موجود از بهینه‌سازی راهبرد در محیط‌های غیر بالینی حمایت می‌کند، اما تبیین سازوکار روان‌شناختی، اثبات اثر علّی یا نتیجه‌گیری اثربخشی بالینی را فراهم نمی‌کند.

ترجمه‌ی خودکار برای آشنایی سریع؛ برای نقل و ارجاع، متن اصلی ملاک است.

موضوع‌ها و کلیدواژه‌ها

سلامت روانشناختهیجانdeep reinforcement learningdigital mental healthemotional intensitylong-term dependency modelingproximal policy optimization

ارجاع

Zhai, Z. (2026). The personalized psychological intervention optimization system of transformer temporal modeling and deep reinforcement learning collaboration. Discover Artificial Intelligence, 6(1). https://doi.org/10.1007/s44163-026-02382-x

(Zhai, 2026)

دانلود BibTeX · دانلود RIS

گفت‌وگو

قوانین پرسش و گفتگو
  1. با احترام و بدون توهین، تحقیر، برچسب‌زنی یا حمله‌ی شخصی با دیگران گفتگو کنید.
  2. از نوشتن هرگونه اطلاعات هویتی یا قابل‌شناسایی مراجعان، بیماران یا اشخاص ثالث، از جمله نام، شماره‌ی تماس، تصویر، نشانی، محل کار یا جزئیات منحصربه‌فرد پرونده خودداری کنید.
  3. اگر درباره‌ی یک تجربه‌ی بالینی سؤال می‌کنید، اطلاعات را تا حد ممکن بی‌نام و کلی بیان کنید تا امکان شناسایی فرد وجود نداشته باشد.
  4. این بخش برای یادگیری و گفت‌وگوی علمی است و جایگزین ارزیابی، تشخیص، مشاوره یا روان‌درمانی شخصی نیست.
  5. در شرایط بحران یا خطر آسیب به خود یا دیگران، به این بخش اتکا نکنید و برای دریافت کمک فوری با اورژانس اجتماعی ۱۲۳ یا صدای مشاور بهزیستی ۱۴۸۰ تماس بگیرید.
  6. انتشار تبلیغات، معرفی خدمات شخصی، شماره‌ی تلفن، شناسه‌ی شبکه‌های اجتماعی، پیوند تبلیغاتی یا درخواست جذب مراجع در این بخش مجاز نیست.
  7. در بیان ادعاهای علمی، به‌ویژه درباره‌ی اثربخشی درمان‌ها، تشخیص یا یافته‌های پژوهشی، تا حد امکان نام منبع معتبر، مقاله یا راهنمای علمی را ذکر کنید.
  8. از ارائه‌ی تشخیص قطعی، تجویز درمان یا دارو و توصیه‌های بالینی شخصی به سایر کاربران خودداری کنید.
  9. پاسخ‌هایی که کارشناسان فکر بنیان می‌دهند با برچسب «پاسخ فکر بنیان» یا «کارشناس فکر بنیان» نمایش داده می‌شوند و سایر نوشته‌ها بیانگر نظر کاربران هستند.
  10. گزارش نوشته‌ی نامناسب: اگر نوشته‌ای حاوی نقض محرمانگی، محتوای آسیب‌زا، توهین، تبلیغ یا تخلف از این قوانین است، گزینه‌ی «گزارش» را انتخاب کنید تا تیم سایت بررسی کند.

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Awareness of Youth-Friendly Sexual and Reproductive Health Services among Undergraduate Students at Saint Augustine University of Tanzania, Mwanza, Tanzania: A Cross-Sectional Study

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چکیده

Background: Awareness of youth-friendly sexual and reproductive health services (YFSRHS) is an important starting point for enabling young people to identify and seek appropriate sexual and reproductive health information and care. However, awareness of these services may vary across settings, including higher education institutions. Objective: To determine the level of awareness of YFSRHS among undergraduate students at Saint Augustine University of Tanzania (SAUT), Malimbe Campus. Methods: A quantitative descriptive cross-sectional study was conducted among undergraduate students at SAUT Malimbe Campus. Data were collected using a structured, self-administered questionnaire. Of 109 questionnaires distributed, 108 completed questionnaires were included in the analysis. Descriptive statistics were used to summarize students’ awareness and reported sources of information. Results: Of the 108 respondents, 96 (88.9%) reported having heard of YFSRHS, while 12 (11.1%) had not. Social media was the most frequently reported source of information (44.0%), followed by friends or peers (41.0%) and health facilities (36.0%). University programmes and posters or advertisements were reported less frequently. Conclusion: Most respondents had heard of YFSRHS, with social media and peer networks serving as prominent information channels. Strengthening accurate information through these channels, alongside university-based communication, may help address the awareness gap among students who remain unreached.

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چکیده

Religious education is often expected to promote tolerance, but respect for religious difference does not necessarily ensure accurate understanding of religious others. This study examines how religious education policies in Indonesia and England emphasize different forms of cognitive tolerance. Using qualitative document analysis and comparative policy analysis, the study analyzes selected legal, curricular, and pedagogical documents through four components: Knowledge of Religious Others, Recognition of Internal Diversity, Critical Reflection, and Understanding Commonalities and Differences. Indonesian policy gives greater relative emphasis to understanding commonalities and differences within religion-specific formation, social harmony, and responsible citizenship. English policy gives greater emphasis to critical reflection and knowledge of religious and non-religious worldviews through shared enquiry. Recognition of Internal Diversity appears in similar proportions in both datasets, but it serves different curricular functions. The findings show differently configured pathways toward cognitive tolerance, combining the same cognitive components with different relative emphases and curricular purposes.

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چکیده

Although physical activity enjoyment is associated with athletes’ psychological outcomes, the mechanisms underlying its relationship with mental well-being remain unclear. This study examined the mediating role of loneliness among athletes. A correlational survey design was employed. The participants consisted of 350 athletes selected through criterion sampling, including 178 females (Mage= 20.58 ± 1.99) and 172 males (Mage= 21.91 ± 4.88). Data were collected using the Physical Activity Enjoyment Scale, UCLA Loneliness Scale–Short Form, and Warwick-Edinburgh Mental Well-Being Scale. Pearson correlation analysis and PROCESS Macro Model 4 mediation analysis were conducted, and indirect effects were tested using 5,000 bootstrap samples. Physical activity enjoyment was positively associated with mental well-being (r= .586, p< .01) and negatively associated with loneliness (a= −.196, p< .01). Loneliness was negatively associated with mental well-being (b= −.447, p< .01). The mediation analysis revealed a significant indirect effect of physical activity enjoyment on mental well-being through loneliness (indirect effect= .088, 95% CI [.026, .147]). These findings indicate that enjoyment of physical activity contributes to athletes’ mental well-being and that loneliness partially explains this relationship. The results emphasize the importance of considering social connectedness and psychological experiences in understanding athletes’ well-being.

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چکیده

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