نقض الاستدلال بالاحتمال (دراسة أصولية في قاعدة: الدليل إذا تطرق إليه الاحتمال بطل به الاستدلال)
مقال في مجلة علميةنقض الاستدلال بالاحتمال (دراسة أصولية في قاعدة: الدليل إذا تطرق إليه الاحتمال بطل به الاستدلال)
حمزة مسعود أبو الناجي الطوير، (12-2025)، الجمعية الليبية للعلوم التربوية والإنسانية: مجلة الأصالة، 12 (12)، 11-19
A Novel Hybrid Deep Learning Approach for Brain Tumor Classification from MRI Images with Grad-CAM Interpretability
Conference paperEarly and precise diagnosis of brain tumors is essential for successful treatment planning and improved patient outcomes. This paper introduces a novel hybrid deep model that incorporates DenseNet121, a convolutional neural network (CNN), and the Swin Transformer, a vision transformer model, by feature-level fusion to classify brain tumors from magnetic resonance imaging (MRI) scans. The suggested method provides a more discriminative and better representation by uniting the global context capability of the Transformer model with the local feature extraction capability of the CNN model. The suggested method was trained and assessed on a publicly available brain MRI dataset of four classes: glioma, meningioma, pituitary tumor, and no tumor. Experimental results indicate that the proposed approach outperforms many baseline models including VGG16, MobileNetV2, and AlexNet with an accuracy of 99.39%, precision of 99.36%, recall of 99.34%, and F1-score of 99.35%. Grad-CAM was utilized to visualize class-discriminative regions in the MRI scans to enhance interpretability, hence validating the model's emphasis on tumor-relevant regions. These outcomes prove the efficacy of coupling Transformer and CNN architectures in obtaining accurate and interpretable brain tumor classification from MRI scans.
Fathi Sidig Mohamed Gasir, (12-2025), Jember, Indonesia: 2nd Beyond Technology Summit on Informatics International Conference (BTS-I2C), 1-10
Artificial Immune System for Fuzzy Backpropagation Neural Networks Optimization
Journal ArticleFuzzy Neural Networks (FNNs) enhance conventional Artificial Neural Networks (ANNs) by incorporating fuzzy membership functions, which enable the handling of uncertainty, ambiguity, and imprecise information. While Fuzzy Backpropagation Neural Networks (FBNNs) improve classification performance across noisy datasets, the effectiveness of fuzzification heavily depends on the proper tuning of membership function parameters—typically optimized manually. This paper presents a novel Artificial Immune System framework for optimizing Fuzzy Backpropagation Neural Networks used in the classification of biological image data. The approach integrates a fuzzy min–max fuzzification layer with a feed-forward backpropagation network and applies an optimization version of an Artificial Immune Network model, derived from opt-aiNet, to tune trapezoidal membership functions. Experimental results confirm that the proposed immune-driven optimization is an effective technique for enhancing FBNN robustness and generalization.
Fathi Sidig Mohamed Gasir, (12-2025), Academy journal for Basic and Applied Sciences (AJBAS) Vol. 6 # 1: Libyan Academy, 2 (7), 1-10
Topological Spaces Associated with Finite Divisor Graphs
Journal ArticleThe aim of this paper is to represent a bitopological representation (𝑉,𝜏𝑆1,𝜏𝑆2) of divisor graph 𝐺=(𝑉,𝐸) defining in a finite commutative rings in which every vertex 𝑣 is adjacent with a vertex 𝑢 if and only if 𝑔.𝑐.𝑑(𝑢,𝑣)=1. Then some properties of this bitopological space were investigated.
Osama AB M Shafah, (12-2025), ليبيا: الاكاديمية الليبية, 2 (7), 1-5
A Topological Space Defined On The Group Of Unites Modulo 𝑝
Journal ArticleThis paper introduces a finite topological space 𝜏𝑝 on the group of units modulo a prime 𝑝, defined by its basis of conjugate residue pairs {𝛼, 𝑝 − 𝛼} for all units 𝛼 ∈ 𝑈𝑝. We investigate the fundamental topological concepts such as point-set topology, separation axioms, and characterise the structure and behaviour of this topology. Additionally, we examine a function 𝑓 from 𝜏𝑝 to the topology of quadratic residues 𝜏𝑄, mapping each unit to its square modulo 𝑝. We analyse the continuity, openness of 𝑓, and explore its implications for separation properties. Furthermore, we define a quotient topology on 𝑈𝑝 based on the equivalence relation 𝑥 ∼ 𝑦 if and only if 𝑥2 ≡ 𝑦2 𝑚𝑜𝑑 𝑝, showing that the resulting quotient space is homeomorphic to (𝑄𝑝 , 𝜏𝑄 ).
Osama AB M Shafah, Hamza A. Daoub, (12-2025), ليبيا: المجلة الليبية للعلوم والتقنية, 2 (15), 243-246
Comparative Analysis of LSTM Architectures for Crime Occurrence Time Prediction
Journal ArticleAbstract— Crime prediction has gained increasing attention due to the growing availability of historical crime data and the need for data-driven decision-making in public safety. This study presents a comparative analysis of Long Short-Term Memory (LSTM) architectures for predicting the exact occurrence time of crimes based on temporal patterns. Three LSTM-based models are evaluated: Vanilla LSTM, Stacked LSTM, and Bidirectional LSTM.
The proposed approach integrates time-based features and lag features to capture temporal dependencies within crime data. Model performance is assessed using standard regression metrics, including Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). Experimental results indicate that deeper LSTM architectures combined with temporal lag information improve prediction accuracy compared to the baseline model.
This study demonstrates the effectiveness of LSTM-based models for crime occurrence prediction and provides insights into selecting suitable deep learning architectures for time-series crime analysis, supporting the development of more reliable tools for proactive crime prevention.
Abduelbaset Mustafa Alia Goweder, (12-2025), الأكاديمية الليبية - جنزور: Academy journal for Basic and Applied Sciences (AJBAS), 7 (2), 32-40
Transforming healthcare in Libya – the need for clinical practice guidelines in disease management
Journal ArticleThe healthcare system in Libya faces significant challenges due to political instability, fragmented infrastructure, and inconsistent medical practices. Clinical Practice Guidelines (CPGs) serve as essential tools for standardising care, ensuring evidence- based treatment, and optimising healthcare resources. In Libya, the lack of structured guidelines has contributed to disparities in disease management, affecting patient outcomes and overall healthcare efficiency. This commentary explores the critical need for CPGs in Libya, highlighting their potential to improve healthcare delivery, minimise variability in treatment, and enhance patient safety. While implementation poses challenges, including centralisation, limited research capacity, and resource constraints, integrating CPGs through a phased implementation framework could be a transformative step toward a more resilient and equitable healthcare system. By fostering collaboration among policymakers, healthcare professionals, and international organisations, Libya can lay the foundation for a systematic approach to disease management, ultimately improving the quality of care for its population. Healthcare reform in Libya is urgently needed, and strategic investments in CPG development and dissemination could drive the necessary transformation in Libyan healthcare.
Ramadan Mohamed Mahmod Elkalmi, (12-2025), Journal of Pharmaceutical Policy and Practice: Taylor & Francis Group, 18 (1), 1-5
Bayesian Estimation for the Parameters of the Cosine Inverse Log Compound Rayleigh Distribution
Journal ArticleIn this paper, we consider the Bayesian estimation of the parameters and reliability function for a Cosine inverse log compound Rayleigh distribution under squared error and squared logarithmic loss functions. We use Lindley’s approximation to compute the Bayesian estimates. This method is evaluated using mean square error through simulation study with varying sample size.
علي خير صابر الشيباني, (12-2025), الاكاديمية الليبية: مجلة الاكاديمية للعلوم الاساسية والتطبيقية, 2 (7), 1-7
أبعاد الجغرافية الاقتصادية للعلاقات الدولية: دراسة في التأثيرات المتبادلة والتحديات المعاصرة
مقال في مجلة علميةالمستخلص:
تناولت هذه الدراسة أبعاد الجغرافية الاقتصادية للعلاقات الدولية من خلال دراسة التأثيرات المتبادلة بين العوامل الجغرافية والتفاعلات الاقتصادية والسياسية بين الدول وتحليل التحديات الناشئة عن هذه التفاعلات في ظل القضايا العالمية المعاصرة و تكمن أهمية البحث في محاولته تقديم فهم أعمق لكيفية تفاعل المحددات الجغرافية الاقتصادية مع المتغيرات السياسية والأمنية والثقافية في تشكيل العلاقات الدولية و تتبنى الدراسة منهجاً متعدد الأبعاد يتجاوز الحدود التقليدية بين التخصصات ويستوعب التعقيدات والتشابكات المتزايدة في النظام الدولي و إستعرض البحث الدراسات السابقة العربية والأجنبية ذات الصلة التي تناولت جوانب مختلفة من التفاعل بين الجغرافيا والاقتصاد والسياسة في العلاقات الدولية كالتنافس الجيوستراتيجي بين القوى والنظم الإقليمية والتحولات في النظريات السائدة والاقتصاد الجغرافي والاقتصاد المعرفي وقدم البحث إطاراً نظرياً ومفاهيمياً لتحليل الأبعاد الجغرافية الاقتصادية يستند إلى النظرية الواقعية في العلاقات الدولية وحقل الاقتصاد السياسي الدولي ويسلط الضوء على التحديات التي تواجه العلاقات الدولية نتيجة التأثيرات الجغرافية الاقتصادية للقضايا العالمية الملحة كالتغير المناخي والأوبئة والصراعات الإقليمية، وتأثيرها على الموارد والبنى التحتية والتنافس بين القوى و خلصت الدراسة إلى ضرورة تبني نظرة شمولية لفهم تفاعل العوامل الجغرافية الاقتصادية مع المتغيرات السياسية والأمنية والثقافية وتم اقتراح توصيات لتعزيز التعاون الدولي في التصدي للتحديات المشتركة بما يراعي الأبعاد المتعددة للعلاقات الدولية في ظل تغيرات الاقتصاد السياسي العالمي المعاصر.
:Abstrac
This study examined the economic-geographical dimensions of international relations by investigating the mutual influences between geographical factors and economic and political interactions among nations, as well as analyzing the challenges arising from these interactions in the context of contemporary global issues. The significance of this research lies in its attempt to provide a deeper understanding of how economic-geographical determinants interact with political, security, and cultural variables in shaping international relations. The study adopts a multidimensional approach that transcends traditional boundaries between disciplines and accommodates the increasing complexities and interconnectedness within the international system. The research reviewed relevant Arabic and foreign previous studies that addressed various aspects of the interaction between geography, economy, and politics in international relations, such as geostrategic competition among powers, regional systems, transformations in prevailing theories, geographical economics, and knowledge economy. The research presented a theoretical and conceptual framework for analyzing the economic-geographical dimensions, drawing upon the realist theory in international relations and the field of international political economy. It highlights the challenges facing international relations as a result of the economic-geographical impacts of pressing global issues, such as climate change, pandemics, and regional conflicts, and their effects on resources, infrastructure, and competition among powers. The study concluded the necessity of adopting a comprehensive perspective to understand the interaction of economic-geographical factors with political, security, and cultural variables. Recommendations were proposed to enhance international cooperation in addressing common challenges, taking into account the multiple dimensions of international relations amidst the changes in the contemporary global political economy.
الكلمات المفتاحية: الجغرافيا الاقتصادية، العلاقات الدولية، الاقتصاد العالمي، التحديات العالمية، التعاون الدولي
Key words: Economic-geographical, International relations, Global economy,Geo-Economics
سامي نافع محمود الشيباني، (12-2025)، المعهد العالي للعلوم والتقنية: مجلة العلوم الشاملة، 38 (10)، 2169-2214
أزمة الديون العالمية: الآليات التاريخية والتداعيات المعاصرة
مقال في مجلة علميةالمستخلص:
تستكشف هذه الد ا رسة التحولات العميقة في أزمات الديون العالمية عبر د ا رسة مقارنة بين ديناميكيات أزمة الثمانينيات
والتحديات المعاصرة في بيئة ما بعد جائحة كوفيد- 19 ومن خلال اتباع المنهج الوصفي التحليلي القائم على تحليل ومقارنة
وثائق مرجعية أساسية، تسعى الد ا رسة إلى تشخيص التغي ا رت الهيكلية في طبيعة الدين ومصادره وتقييم مدى كفاءة أطر الحوكمة
المالية الدولية الحالية وقد كشفت النتائج عن استم ا ررية الدو ا رت التاريخية للأزمات ولكن بحجم مخاطر غير مسبوق، حيث
تجاوز إجمالي الديون 100 تريليون دولار، بالإضافة الى تحول بؤرة الخطر من العلاقة المصرفية -السيادية إلى العلاقة السوقي ة -
الشركاتية، حيث بلغت ديون الشركات وحدها 35 تريليون دولار في 2024 . كما أظهر التحليل وجود شكل جديد من "الديون
الخفية" متمثل في ديون الشركات غير المنتجة، والذي يتجلى في فجوة تقدر ب 21.3 تريليون دولار بين الاقت ا رض المفرط
ونقص الاستثمار ويتجلى قصور أطر الحوكمة العالمية الحالية بشكل صارخ في الفجوة التمويلية السنوية التي تبلغ 2 تريليون
دولار لمواجهة تحديات كبرى مثل التحول المناخي وعليه، تخلص الد ا رسة إلى أن التحول الجذري نحو نظام مالي قائم على
الأسواق يتطلب إصلاحات جوهرية في الرقابة المالية والحوكمة الدولية لمواجهة المخاطر الجديدة والتحديات الهيكلية.
الكلمات المفتاحية:
الديون السيادية، الأزمات المالية، دورات الديون، الحوكمة المالية الدولية، الأسواق الناشئة .
:Abstract
This study explores the profound transformations in global debt crises through a comparative study of the dynamics of the 1980s crisis and the contemporary challenges of the post-COVID-19 era. Employing a descriptive-analytical methodology based on the analysis and comparison of key reference documents, the study aims to diagnose the structural shifts in the nature and sources of debt and to evaluate the efficacy of current international financial governance frameworks. The findings reveal that historical crisis cycles persist, but with an unprecedented scale of risk, as total global debt now exceeds $100 trillion. Furthermore, the locus of risk has shifted from the sovereign-bank nexus to a corporate-market nexus, where the corporate debt alone reached $35 trillion in 2024. The analysis also revealed a new form of "hidden debt" in the form of non-productive corporate debt, evidenced by a $21.3 trillion gap between excessive borrowing and underinvestment. The inadequacy of current global governance frameworks is starkly evident in the annual $2 trillion financing gap for addressing major challenges like the climate transition. Consequently, the study concludes that the fundamental shift towards a market-based financial system necessitates substantial reforms in financial supervision and international governance to .
address new vulnerabilities and structural challenges
Sovereign Debt, Financial Crises, Debt Cycles, International Financial Governance, Emerging Marke:Keywords
سامي نافع محمود الشيباني، (12-2025)، الاكاديمية الليبية للدراسات العليا: مجلة الاكاديمية للعلوم الأنسانية و الأجتماعية، 29 (1)، 19-32