ABSTRACT This study investigates the effects of self-assessment on students’ motivation and language proficiency among English Department students at the Faculty of Arts, AL-Assaba. A quantitative research design was adopted, using a questionnaire distributed to a sample of 60 students. The findings indicate that self-assessment plays a significant role in enhancing learners’ motivation, self-awareness, and perceived language proficiency. Most students reported positive attitudes toward self-assessment and felt it Improved their English skills. The study concludes that incorporating self-assessment into English language instruction can foster learner autonomy and Improve learning outcomes. It recommends Integrating self-assessment practices into curricula and providing guidance to students on effective self-assessment. Keywords: Self-assessment, Motivation, Language Proficiency, Learner Autonomy, English Department Students, Higher Education.  

Abstract

Periodontal disease is a multifactorial condition characterized by chronic inflammation and progressive destruction of supporting tissues, with significant implications for oral health and systemic well-being. This study investigated the correlation between inflammatory responses and regenerative outcomes in periodontal supporting tissues, emphasizing the role of epigenetic regulation. A mixed methods approach was employed, combining clinical assessments, patient-reported outcomes, and molecular analyses. Spearman correlation analysis revealed strong associations between clinical indicators of inflammation and perceived regenerative improvements, underscoring the interplay between destructive and reparative processes. Demographic and lifestyle factors, including smoking and systemic health conditions, were found to influence variability in responses. Regenerative therapies demonstrated favorable outcomes in terms of clinical attachment gain, alveolar bone support, and patient satisfaction. These findings highlight the importance of integrating epigenetic insights with clinical practice to develop personalized strategies for managing periodontal disease and enhancing tissue regeneration

Abstract Classroom presentations represent an important aspect of activities that help English as a Second Language learners showcase their language skills, particularly speaking in front of others, and reveal the educational and psychological obstacles and challenges they face in performing these presentations at the best possible level. The study aims to identify the impact of language anxiety on classroom presentations by applying it to English as Foreign Language learners at Gharian University, which helps to investigate the level and type of anxiety that English as a Foreign Language students at the university suffer from during presentations. The study was conducted on various students of different semesters at University. The sample consisted of 100 students of both genders, divided into two groups (45 males and 45 females), during the academic year 2025-2026. The study relied on a questionnaire as the data collection tool, and the collected data was statistically analyzed using SPSS software. The results showed a high level of anxiety about learning English among the participating students for various reasons. A statistically significant inverse relationship was found between the level of English language anxiety among University students and the quality of their classroom presentations. Statistically significant differences were also found in language anxiety levels among students during classroom presentations, while no statistically significant differences were found between gender and anxiety levels in terms of their impact on the quality of classroom presentations. The stuconcluded with recommendations and suggestions to enhance the

تقدم هذه الورقة بحثاً حول إطار عمل يعتمد على التعلم العميق للتصنيف متعدد الملصقات لأمراض الصدر باستخدام صور الأشعة السينية وبنية EfficientNet. يعالج هذا الإطار تحدي تشخيص الحالات المتعددة التي تتشابه في المظهر وغالباً ما تحدث معاً. يستخدم إطار العمل تقنية التعلم بنقل الخبرة (Transfer Learning)، مع إجراء ضبط دقيق لعدة متغيرات من نموذج EfficientNet (من B0 إلى B4) باستخدام مجموعة بيانات NIH ChestX-ray14. كما يوظف البحث تقنيات Focal Loss و Stochastic Weight Averaging لمعالجة اختلال توازن البيانات وتحسين قدرة النموذج على التعميم. يعتمد هذا النهج على آليات الانتباه (Attention Mechanisms) وتقنية Grad-CAM لجعل النتائج أكثر قابلية للتفسير، مما يثبت أن التوقعات تستند إلى ميزات سريرية هامة. حقق النموذج درجات عالية في مقياس ROC-AUC للحالات الأكثر وضوحاً مثل الانصباب (0.8545)، وتضخم القلب (0.8003)، والاسترواح الصدري (0.7820). ومع ذلك، واجه النموذج صعوبة أكبر في تصنيف الحالات الأكثر دقة مثل الارتشاح، والعقيدات، والالتهاب الرئوي. يؤدي إطار العمل بشكل يضاهي أو يتفوق على العديد من نماذج الشبكات العصبية التلافيفية (CNN) القائمة من حيث الدقة والكفاءة. يوفر هذا البحث سير عمل قوياً وقابلاً للتكرار لتطبيقات الأشعة، مع إمكانية استخدامه في مهام تشخيصية أخرى. كما تشير الدراسة إلى بعض المعوقات، مثل اختلال توازن الفئات والحاجة إلى دعم أفضل لاتخاذ القرارات السريرية، وتقترح تحسينات مستقبلية مثل تقنيات أفضل لتعزيز البيانات ونمذجة عدم اليقين.