The University of Mohaghegh Ardabili (UMA) (also written "Ardebili"), and known as Mohaghegh Ardabili University, is a public university in Ardabil province, Iran. It is named in honor of Allama Mohaghegh Arbabili (علامه محقق اردبیلی).The university was established in 1978 as a college of agriculture (آموزشکده کشاورزی) under the supervision of Tabriz University. It became a separate, independent university in 1996.Mohaghegh Ardabili offers a full range of undergraduate and graduate programs. With more than 11,000 students and 395 full-time faculty members, Mohaghegh Ardabili University is one of the fastest-growing universities in Iran. It has 11 faculties, 3 research centers, and 11 research groups. As of 2022[update], the university admits students in 273 fields in 11 faculties, which 61 of them are doctoral candidates, 128 are master's students and the rest are undergraduate students.
مقدمه: آسیبهای همسترینگ و دردهای ناحیهی کمری، از شایعترین اختلالات اسکلتیـ عضلانی ورزشکاران با نرخ عود بالا هستند. با اینحال، تعامل بیومکانیکی این آسیبهای همزمان بر الگوهای بارگذاری اندام تحتانی در شرایط غیرقابل پیشبینی کمتر بررسی شده است. هدف این پژوهش، مقایسهی دامنهی نیروهای عکسالعمل زمین در مؤلفههای عمودی، برشی و گشتاور آزاد بین ورزشکاران دارای آسیب همزمان و افراد سالم طی مانور تغییر مسیر ناگهانی بود.روشها: در این مطالعهی مقطعی- مقایسهای، ۴۰ ورزشکار مرد (۲۰ نفر با سابقه آسیب همزمان همسترینگ و کمردرد و ۲۰ نفر سالم همسانسازی شده) شرکت کردند. آزمودنیها مانور تغییر مسیر ناگهانی را با سرعت کنترلشده حدود ۴ متر بر ثانیه روی صفحه نیرو اجرا کردند. اوج نیروهای برشی، عمودی و گشتاور آزاد استخراج، نسبت به وزن بدن نرمالسازی و با آزمون t مستقل و اندازه اثر Hedges’ g تحلیل شد.یافتهها: در پای آسیبدیده، نیروی برشی داخلی- خارجی در لحظه برخورد پاشنه در گروه آسیبدیده به طور معناداری بیشتر از گروه سالم بود (P = 0/001 ،g = 1/53). همچنین نیروی عمودی برخورد (P = 0/004 ،g = 0/98)، نیروی عمودی فعال (P = 0/030 ،g = 0/71) و حداقل گشتاور آزاد (P = 0/038 ،g = 0/68) افزایش معنادار نشان دادند. در پای سالم، تفاوت معناداری بین دو گروه مشاهده نشد (P> 0/05).نتیجهگیری: ورزشکاران دارای آسیب همزمان همسترینگ–ناحیهی کمری در تکالیف ناگهانی، کنترل ضعیفتری در جذب شوکهای عمودی و نیروهای برشی نشان میدهند. اندازه اثرهای بزرگ حاکی از اهمیت بالینی این یافتهها و احتمال بهکارگیری راهبرد حرکتی سفت ناشی از نقص کنترل عصبی- عضلانی زنجیره کینتیک است؛ بنابراین، برنامههای بازتوانی باید بر بهبود جذب نیرو در شرایط غیرقابلپیشبینی تمرکز کنند.
Social anxiety disorder is one of the most common anxiety disorders in adulthood. Cognitive-behavioral therapy (CBT) is an established effective intervention; however, previous meta-analyses have rarely focused specifically on adult populations. Therefore, the present study aimed to systematically synthesize existing evidence and estimate the overall effect size of CBT in reducing social anxiety symptoms in adults. This systematic review and meta-analysis was conducted through a comprehensive search of national databases from 2006 to 2024. Out of 567 identified studies, 14 met the inclusion criteria and were included in the final analysis. Results indicated that CBT has a large and statistically significant effect on reducing social anxiety symptoms in adults (Hedges’ g = −2.274). Despite moderate heterogeneity across studies, including randomized controlled and quasi-experimental designs, sensitivity analyses supported the robustness of the findings. The main contribution of this study is its exclusive focus on adult populations and the synthesis of previously fragmented evidence that has not been sufficiently addressed in the literature. Overall, CBT appears to be an effective intervention for social anxiety in adults; however, future research should further examine the role of demographic and treatment-related factors.
Electronic nose (e-nose) and electronic tongue (e-tongue) are among the most modern olfactory and gustatory bionic systems that have been able to compensate for the limitations of the human olfactory and gustatory system. These bionic systems have been very successful in evaluating and measuring the quality of food. The enose is capable of evaluating the quality of food through the detection of volatile organic compounds (VOCs) and the e-tongue applies electrochemical methods to assess food quality. Unfortunately, nowadays food fraud is frequently practiced especially in spices that are offered in powdered form in the market. The purpose of this piece of research is thus to evaluate e-nose and e-tongue systems and use machine learning techniques to measure the authenticity and quality of ginger powder. In this study, chickpea powder was used as an adulterant to combine with ginger powder. Ginger powder and fraud samples were prepared in 7 classes (pure chickpea powder, pure ginger powder, 10%, 20%, 30%, 40% and 50% fraud in ginger powder using chickpea powder). Finally, the features extracted from the samples were evaluated and classified using basic CNN, improved CNN, PCA, MLP, Fuzzy, SVM, KNN, GBT and EDT algorithms. The results showed that the e-nose and e-tongue systems in combination with the improved CNN were able to classify the ginger powder and the fraud samples with accuracies of 95.24% and 100%, respectively. In the e-nose system, TGS2620, TGS822 and TGS2610 sensors, and in the e-tongue system, gold and platinum sensors had the strongest performance in detecting and distinguishing ginger powder and fraud samples.
Early marriage, as a significant social and familial issue, has extensive consequences on the psychological, cognitive, and social aspects of women's lives and can meaningfully influence their individual and social development trajectories. The present study aimed to explore the lifeworld of women with early marriage experiences and to identify the individual, familial, and socio-economic–cultural consequences of this phenomenon. This study employed a qualitative approach using thematic analysis. Data were collected through semi-structured, in-depth interviews with 27 married women who had experienced marriage before the age of 18. Participants were selected through purposive sampling with maximum variation to capture a wide range of experiences. The interviews were transcribed verbatim, and data were analyzed through iterative coding, constant comparison, and abstraction processes. The findings indicated that early marriage has profound and intertwined consequences at the individual level, including psychological harms, identity formation disturbances, and physical health issues; at the familial level, including reduced marital satisfaction, impaired parenting, and family tensions; and at the socio-economic–cultural level, including school dropout, decreased social participation, perpetuation of poverty, and reproduction of traditional gender norms. Overall, the results demonstrate that the consequences of early marriage are multi-level and intergenerational, highlighting the necessity of designing multidimensional psychological, educational, and policy interventions to prevent and mitigate its effects.
Achieving low‑carbon and congestion‑aware industrial ecosystems requires decision frameworks that coordinate heavy‑duty electric transportation with multi‑carrier energy infrastructures under deregulated market environments. This study develops a knowledge‑based expert intelligence framework for game‑theoretic decision coordination of eco‑industrial parks in which heavy‑duty electric trucks operate as transportable storage units coupled with electricity and district heating networks. The leader-follower interaction is formulated through a Stackelberg structure and represented as a bilevel mathematical program with equilibrium constraints that incorporates market clearing conditions, power flow relations, and thermal network balance. A time-space knowledge‑driven scheduling layer represents routing, charging, and logistics decisions of mobile energy assets under congestion conditions without reliance on heuristic constructs. Carbon and renewable certificate transactions are integrated within a unified carbon‑free digital market mechanism. Renewable generation uncertainty is addressed using information gap decision theory to enable risk‑aware and opportunity‑oriented operational strategies. Case studies based on modified IEEE 33‑bus and 32‑node benchmark systems demonstrate that the proposed framework increases social welfare by 21%, improves renewable energy utilization by 19%, and reduces congestion‑related losses by 14%, while enhancing the performance of the coupled energy and digital market structure. The results demonstrate the feasibility and effectiveness of knowledge‑driven game‑theoretic coordination between eco‑industrial park energy hubs and heavy‑duty transportable storage in deregulated carbon‑free digital markets.
