خديجة كرامي, ليلى أولاد إبراهيم

كلية العلوم الاقتصادية والتجارية وعلوم التسيير-جامعة غرداية · الجزائر

تهدف هذه الدراسة إلى استكشاف تأثير الشمول المالي كركيزة استراتيجية على تحقيقالتنمية المستدامة في الجزائر خلال الفترة من 2004 إلى 2022، مع تركيز خاص على الأبعادالاقتصادية والاجتماعية والبيئية. ومن خلال مزج المنهج الوصفي التحليلي لتأطير المفاهيمالنظرية، مع المنهج الكمي باستخدام نموذج الانحدار الذاتي للإبطاء الموزع(ARDL)تم قياسالعلاقة الديناميكية بين مؤشرات الشمول المالي — مثل عدد فروع البنوك التجاريةCBB،أجهزة الصراف الآليATMs ،ونسبة الائتمان الممنوح للقطاع الخاص إلى الناتج المحليالإجماليPRIVATE— وأبعاد التنمية المستدامة، استندت الدراسة إلى بيانات سنوية موثوقة منالبنك الدولي وبنك الجزائر المركزي.وقد أظهرت النتائج عن وجود توازن طويل الأمد بين الشمول المالي والتنمية المستدامة،مع تأثيرات ذات دلالة إحصائية على الأجلين القصير والطويل في مختلف الأبعاد الاقتصاديةوالاجتماعية والبيئية. وتخلص الدراسة إلى أهمية تعزيز استراتيجيات الشمول المالي عبرتوسيع نطاق الخدمات المالية، تحسين توزيع الائتمان، وتمكين الفئات المهمشة مالياً، بما يعززمسار النمو الاقتصادي المتوازن والشامل ويدعم رؤية التنمية المستدامة في الجزائر.

Sufian Forawi, أنور إبراهيم

كلية التربية-الجامعة البريطانية في دبي · الامارات

Moral education is a fundamental component of Islamic Studies Curriculum therefore, Islamicvalues in relation to Vocational and Technical Education are best taught through Islamic Studies.This is an integrated way of education that encompasses all aspects of life including Vocationaland Technical fields.The main purpose of this study is to investigate the teachers’ views towards including Islamicvalues in the educational textbooks taught in vocational and technical schools in the United ArabEmirates. The study comprises the participation of 56 Islamic Studies teachers, nine leadteachers and two curriculum specialists from vocational and technical schools, centers andinstitutes in the UAE. Multiple instruments were employed in a mixed methods approach tocollect sufficient data for the study. A questionnaire with close and open-ended questions wasused to report the teachers’ perceptions. Interviews were conducted from lead teachers andcurriculum specialists. Interviews were conducted to collect data to lead teachers and curriculumspecialists. This is in addition to analyzing contents of the prescribed Islamic Studies textbooksrelevant to grade 10.The significant outcome indicated that age group is one of the main determinants of valueallocation within the Islamic Studies curriculum. Islamic values existed in the Islamic Studiestextbooks throughout the curriculum from G1 through G12. However, Grade 10 Islamic Studiestextbooks lacked these values in comparison to the actual teachings in Islam. Therefore, thestudy recommends a fair distribution and reinforcement of values across the Islamic curriculumby developing a new curriculum that incorporates morals and values. In addition, curriculumtraining sessions for teachers are necessary to derive maximum values and Islamic principles.

بعمامة لعربي, رقية بلخووبي

كلية العلوم الاجتماعية-جامعة عبد الحميد بن باديس مستغانم · الجزائر

شوقي بركاني, عبدالناصر مانع

كلية الحقوق والعلوم السياسية-جامعة العربي بن مهيدي - أم البواقي · الجزائر

إن مبدأالسير بانتظام واطراد من المبادئ الأساسية التي تحكم في سير المرافق العامة ، التي يتوقف عليه إلى حد كبير تسيير شؤون الأفراد الحياتية من جهة ،والشؤون العامة للدولة من جهة أخرى ، ويعني هذا المبدأ استمرار النشاط الذي يقوم به المرفق العام وانتظامه دون توقف أو انقطاع ، ومن اليسير أن نتصور مدى الارتباك في الحياة العامة الذي ينجم عن توقف مرفق من هذه المرافق العامة عن العمل ولو لمدة قصيرة ، وقد اسقر الفقه والقضاء الإداريين على أهمية وضرورة هذا المبدأ ، كما تدخل المشرع في كثير من الأحيان لضمان تطبيقه ومنع كل ما يعرقل احترامه ، حيث ترتب عن تطبيق هذا المبدأ عدة نتائج منها : تحريم الإضراب ، تنظيم اسقالة الموظفين ، عدم الحجز على أموال المرافق ، الإعتداد بنظرية الموظف الفعلي.

Abd-Elhakim Kherrouni, Fateh Yahiaoui, Imene Tetah, Sabrina Iazzouguen

كلية التكنولوجيا-جامعة عبد الرحمان ميرة - بجاية · الجزائر

Notre travail consiste à l’automatisation et la supervision de la centrale d’aircomprimé au sein du complexe CEVITAL plus exactement dans l’unité d’énergie.D’abord on a commencé par l’étude de notre centrale et ces différents éléments,puis nous avons donné un aperçu sur les systèmes automatisés ainsi que l’automateutilisé, ensuite on a passé à la création de nos programmes que nous allons implanterdans notre automate de type S7-300 grâce au logiciel de conception etd’automatisation STEP7.Enfin, on a réalisé une IHM qui nous permis un meilleur suivi du processus et lediagnostic d’éventuelles pannes. Pour cela, une interface de supervision a été réaliséeen utilisant le logiciel WinCC Flexible.

Leila Boucerredj , Benarbia Riad, Stiti khelifa

كليات العلوم والتكنولوجيا-جامعة 8 ماي 1945 قالمة · الجزائر

Avec la prise de conscience de la limitation des réserves de pétrole et de l'enchérissement structurel de cette source d'énergie, ainsi que de la problématique des émissions de CO2 et du changement climatique, les voitures sobres en carbone sont l'objet d'un fort engouement depuis quelques années. Parmi ce type de véhicule, la voiture électrique mue par la fée électricité est très présente, en particulier en France. Cette voiture virtuellement propre, indépendante du pétrole et silencieuse a de nombreux atouts pour séduire. C'est pourquoi la sûreté de fonctionnement et la maintenance est une préoccupation des constructeurs et utilisateurs. La conséquence est que l'évaluation de la sûreté de fonctionnement du système est dépendante de l'évaluation fonctionnelle et devient impossible avec les méthodes traditionnelles de la sûreté de fonctionnement et la maintenance. Pour surmonter ces difficultés, une approche hybride basée sur la méthode AMDEC et arbre de défaillance sont largement connus dans la maintenance et l’analyse des systèmes ainsi que dans les études de la sûreté de fonctionnement. Dans un premier temps, nous avons classé et hiérarchiser les défaillances selon certains critères (occurrence,détection, gravité). Cette dernière, nous a permet de sélectionner les éléments les plus critiques qui causses les pannes possible de la voiture électrique. Les résultats de cette analyse sont les actions prioritaires propres à diminuer la taille de l’arbre de défaillance du système étudié, cela simplifier l’analyse et l’étude des performances des composants du système et d’augmenter l’efficacité du système complet. With the awareness of the limitation of oil reserves and the structural increase in the cost of this energy source, as well as the problem of CO2 emissions and climate change, low-carbon cars are the object of a strong craze for several years.Among this type of vehicle, the electric car driven by the electricity fairy is very present, especially in France. This virtually clean, petroleum-independent and silent car has a lot going for it. This is why operational safety and maintenance is a concern of manufacturers and users.The consequence is that the evaluation of the dependability of the system is dependent on the functional evaluation and becomes impossible with the traditional methods of the dependability and maintenance. To overcome these difficulties, a hybrid approach based on the FMEA and fault tree method is widely known in the maintenance and analysis of systems as well as in dependability studies. First, we classified and ranked the failures according to certain criteria (occurrence, detection, severity). The latter, allowed us to select the most critical elements that cause possible breakdowns of the electric car. The results of this analysis are the priority actions to decrease the size of the fault tree of the studied system, this simplify the analysis and study of the performance of the components of the system and to increase the efficiency of the entire system.

بريتل بيرج, مهيرة حمد ماجد رقيط الغفلي

كلية الدراسات العليا-جامعة الإمارات العربية المتحدة · الامارات

Background: The risk of congenital anomalies in children of diabetic mothers is three to four times that in offspring of non-diabetic mothers. The exact mechanisms of these birth defects are not known. Of the several factors suggested to contribute to embryonic maldevelopment in diabetic pregnancy, the formation of reactive oxygen species (ROS) and subsequent disturbances to cellar defenses appears to be a plausible hypothesis. Antioxidants have been reported to rescue the embryos from being malformed in animal experiments. This study was aimed to determine if the ideal antioxidant lipoic acid would ameliorate the embryos from maternal diabetes-induced anomalies. Methods: Female Wistar rats (200-250 gm) were assigned to five different treatment groups. Non-treated control rats, streptozotocin (STZ) (60 mg/kg)-induced diabetes mellitus, STZ diabetic rats treated with lipoic acid (STZ+LA), lipoic acid and Tris buffer treated rats (LA control), and Tris buffer alone treated rats. LA control and STZ+LA groups were treated with daily intraperitoneal injection of 20 mg/kg LA from GD 6 through GD 19. Morphological and skeletal malformations of the embryos were recorded. Results: Diabetic rats showed a significant incidence of resorption, growth retardation and malformation of fetuses. Lipoic acid and Tris buffer treatments showed no significant differences when compared with non-treated control data. Diabetic rats supplemented with lipoic acid had a significant decrease in fetal resorption/death, and improvement in fetal body weight. Lipoic also significantly reduced the incidence of various external and skeletal malformations in the diabetic group. Conclusion: Lipoic acid exerts a potent protective effect against diabetes-related resorption, intrauterine growth retardation and malformations. Prospective studies should aim at evaluating the exact mechanism by which LA acts to rescue embryos of growth retardation and malformations in this model.

Ashish Gujrathi, Tarek Ganat, Ziyad Hilal Abdullah Al-Rashdi

كلية الهندسة-جامعة السلطان قابوس · عمان

The life cycle of an oil production well can be divided into several stages, starting from exploration and ending with abandonment. Each stage serves a specific purpose and involves different activities and considerations. The production phase is one of the most critical stages, where the well begins to flow and produce economically. During this phase, production rates are monitored, and reservoir management strategies are implemented to maximize recovery and minimize well decline. In the initial production stage, most wells flow naturally by relying on the reservoir's natural pressure to bring oil to the surface, resulting in relatively low operating costs. However, over time, reservoir pressure declines and eventually becomes insufficient to lift oil to the surface effectively. At this point, artificial lift systems are implemented to enhance production rates and compensate for the loss of natural pressure. These systems help maintain or increase production levels by supplying the necessary energy to lift oil to the surface. Wells equipped with artificial lift tend to have higher operational costs due to the energy requirements of the lifting mechanisms, and they often require more maintenance and monitoring to ensure efficient and consistent production. Therefore, selecting the appropriate artificial lift system is a critical decision, as it significantly affects well productivity and operational costs. Traditional methods for selecting the optimal lift system often rely on empirical data and expert judgment, making the process time-consuming and sometimes suboptimal, which can lead to increased operational costs. To address this challenge, the present study proposes the development and implementation of a Machine Learning (ML) model to predict the most suitable artificial lift system for individual oil wells in the South Oman fields. The study began by collecting completion and production data from approximately 995 horizontal wells operated using four types of Artificial Lift Systems (ALS). The dataset was cleaned, and the model was trained and validated to prepare it for deployment. Feature engineering and data preprocessing were performed to ensure the quality and relevance of the input data. By applying six machine learning classification algorithms—including Decision Tree, K-Nearest Neighbors, Random Forest, Support Vector Machines, Naïve Bayes, and Logistic Regression—we were able to identify patterns and relationships between well attributes and optimal lift systems. This thesis aims to enhance the decision-making process by offering a data-driven approach that can assist operators and early-career engineers in selecting the most suitable artificial lift system for a given well. The results of the study were highly promising, with four algorithms achieving an accuracy of over 95% at a train-test split ratio of 70:30, demonstrating the reliability of the model for future applications.

تيسير عبد الله, عمر بدر حسن الواوي

جامعة القدس · فلسطين

Nesrine Serir, Samia Meliani, Wiam Rouab

كلية علوم الطبيعة والحياة-جامعة ابن خلدون – تيارت · الجزائر

L’objectif de ce travail a été d’évaluer les performances de reproduction et de production laitière, chez les vaches, dans trois fermes localisées dans la région de Tiaret. Notre travail a concerné un effectif de 151 vaches réparti entre les trois fermes. Nous nous sommes basés sur l’analyse des données enregistrées dans les registres de reproduction pour les années 2022 et 2023.Sur un effectif de 51 vaches, l’âge moyen au premier vêlage était de 24,80±4,39 mois avec un minimum de 16,47 mois et un maximum de 37,43 mois. Les durées moyennes des IVV ont été respectivement de 358,50 ± 61,79j ; 350,89 ± 27,58 j et 331,67±26,31 j pour la ferme 1. Alors que pour la ferme 2 les durées moyennes des IVV étaient respectivement de 338, 11±74,30 j, 325,60± 50,91j et 519,33±325,48j. le tableau rapporte aussi les IVV moyens pour la ferme 3 qui étaient respectivement de 489,86 ± 153,14j, 526,57± 123,49j, et de 422,75±98,10j. La production laitière annuelle moyenne pendant l’année 2021 a été de 36381,33±10546,11kg /vache, avec un minimum de 18385 kg et un maximum de 49937kg, et pendant l’année 2022 a été de 22887,83±2794,29 kg/vache, avec un minimum de 19542 kg et un maximum de 30446 kg.Globalement, les paramètres de reproduction étaient faibles mais s’inscrivaient dans le cadre des objectifs décrits dans la littérature indiquant une bonne adaptation des vaches qui extériorisent des performances de reproduction acceptables surtout si on prend en considération les hostilités du milieu environnant (chaleur estivale, manque de fourrage…).