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.

Abstract: 

This study presents a critical discourse analysis (CDA) of the construction of political identity 

during periods of revolutionary crisis. It examines the dichotomous representation of Muammar 

Gaddafi in February 2011 through two primary data streams: his first major public address 

following the uprising (February 22, 2011) and the contemporaneous visual and textual 

coverage in three newspapers—The Sun (UK), The Daily News (a prominent US tabloid-style 

outlet), and Alshourouq (Egypt). Employing Fairclough’s (1992) three-dimensional model of 

CDA, Halliday’s (1978) Systemic Functional Linguistics (SFL), and Kress and van Leeuwen’s 

(2006) grammar of visual design, the analysis reveals a profound disjuncture between Gaddafi’s 

linguistic self-fashioning and his mediated portrayal. Findings indicate that Gaddafi’s speech 

strategically deployed lexical choices, transitivity, and modality to construct identities of a 

rightful leader, paternal protector, and historical embodiment of Libya. Conversely, the selected 

newspapers, despite ideological nuances, converged on a representational framework depicting 

Gaddafi as weak, cowardly, and delegitimized, primarily through specific visual framing, 

camera angles, and captions. This study argues that the conflict between these representations 

is not merely descriptive but deeply ideological, reflecting the struggle for discursive hegemony 

during the Arab Spring, where control over narrative became a key battleground alongside 

military confrontation.

Background and objective :Helicobacter pylori [H.pylori] infection is one of the most common chronic bacterial infections worldwide especially in the developing countries. This bacterium is the cause of many diseases such as MALT lymphoma, gastritis, peptic ulcers, and stomach cancer. According to recent reports, H.pylori infection may increase the risk of colorectal cancer. The current study aimed at investigating the association of H. pylori infection and the risk of colorectal cancer and adenomatous polyps. Methods: The current study was conducted on 52 patients with colon cancer as the case group and 200 subjects without pathological finding (i e, polyps, neoplasms, or inflammatory diseases) as the control group. Blood samples were collected from the patients in order to assess the presence of anti-H. pylori infection antibodies by the serum titer levels of anti-H. pylori IgG antibodies were measured using enzyme-linked immunosorbent assay (ELISA) with commercial kit by (Dia.Pro Diagnostic Bioprobes-Italy). Results: This study demonstrates distinct associations between H.pylori infection markers and CRC risk. While IgG seropositivity showed a significant 2.16-fold increased CRC risk (p = 0.019). Conclusion: This research finding IgG seropositivity may serve as a broader risk marker.

Despite the critical demand for advanced English proficiency in Libyan 

higher education, primary public schools, particularly in rural areas, have 

been neglected. This qualitative study investigates the imperative for 

implementing improved methodologies in Teaching English as a Foreign 

Language (EFL) in Libyan primary public schools, using the post-conflict 

rural municipality of Al Gwaleesh as a case study. Data were collected by 

questionnaires and classroom observations from ten teachers and ten third

year pupils. The findings reveal a systemic reliance on traditional Grammar

Translation Methods, a stark deficiency of resources (including basic 

teaching aids and ICT), and minimal student engagement. Teachers 

demonstrated limited application of Communicative Language Teaching 

(CLT) principles, focusing predominantly on rote memorization and written 

exercises. Consequently, pupils reported low motivation and a failure to 

grasp the language's practical utility. The study concludes that a 

fundamental overhaul of EFL pedagogy in Libya is urgently required, 

recommending the integration of audio-visual aids, activity-based learning, 

and 

strategic 

incorporation 

of 

Information and Communication 

Technologies (ICTs) to foster intrinsic motivation and build a sustainable 

foundation for English proficiency.

This study presents a comprehensive empirical comparison between Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) for multi-domain Arabic text classification. A curated dataset covering seven categories was used for evaluation. The experimental results demonstrate that LSTM-based RNN models significantly outperform CNN architectures, achieving 98% accuracy. The findings highlight the importance of sequential modeling for handling the morphological and syntactic complexity of the Arabic language.