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Sémiotique de l’image Cours et TD- S2-
(جامعة عين تموشنت بلحاج بوشعيب, 2026) BAHRI Souad
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القانـون الإدازي 1
(جامعة عين تموشنت بلحاج بوشعيب, 2026) حبشي ليلى كميلة
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أحكام التمثيل الدبلوماسي ودوره في تعزيز العلاقات بين الدول
(University of Ain Temouchent, 2026) عبد العزيز,عمر; بوشاشية, شهرزاد
This thesis addresses the subject of diplomatic representation as the primary tool states use to manage their foreign relations during peacetime. It traces the historical evolution of diplomatic representation from ancient civilizations to its comprehensive codification in the 1961 Vienna Convention on Diplomatic Relations. The study is guided by a central question: To what extent have the legal provisions governing diplomatic representation contributed to strengthening inter- state relations and fostering cooperation under the 1961 Vienna Convention? It employs both descriptive and analytical approaches to examine two main aspects: first, the conceptual and organizational framework of diplomatic representation— covering its nature and the domestic and external bodies responsible for conducting diplomatic relations; and second, the functional framework of diplomatic missions—addressing their primary and exceptional functions, their role in consolidating international relations, and the legal obligations of diplomatic envoys, with a specific focus on the Algerian context. The study concludes that the effectiveness of diplomatic representation depends on the extent to which domestic and external bodies adhere to their duties within the boundaries established by international law. It recommends strengthening institutional mechanisms, enhancing the qualifications of diplomatic personnel, and intensifying Algeria's presence in international forums.
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Identification Of An Email Author Using Machine Learning And Natural Language Processing
(2026) ELMEGUENNI Hadjar; MOHAMMED SMAIN Bouchra; BOUCHAKOUR .E
Emails are often used in cybercrime today, so it is important to verify the identity of the email author. This paper proposes different Machine Learning models: Naive Bayes (NB), Logistic Regression (LR) and Sup- port Vector Machine (SVM), to solve the problem of anonymous email author attribution. The main task is to find the author of an anonymous email among the many suspected targets, to verify if an email was in fact written by the sender. In this project, the models were trained and tested using the same email dataset where we analyze writing style, vocabulary usage, and tex- tual patterns, plus date and time information using supervised machine learning in addition to natural language processing techniques, with the intention of combining multiple factors to identify the author. The tests proved that the accuracy varies from one model to another indicating that some are better than others. In email authorship verifica- tion experiments, usually the average accuracy reaches 89.9%. while our model’s accuracy rate to a well distributed dataset is 89,06% for SVM , 81,77% for Naive Bays and 88.02% for Logistic Regression. And with a not so well distributed dataset the accuracy rate is 91,40% for SVM model, 76,74% for Naive Bays and for Logistic Regression 92.29%. Proving that a good identification system relies on two aspects, the model chosen for the task and the dataset veracity.
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Évaluation de la qualité bactériologique et organoleptique des Saucisses type « Merguez » commercialisées au niveau de la ville d’Ain Témouchent.
(2026) DALILE DJAOUAHIR; ATTAR FATIMA ZOHRA; AHMED AMMAR YAMINA
"Merguez" is among the meat products most exposed to microbiological alterations and risk of contamination by microorganisms of hygienic and sanitary concern. This study mainly aims to evaluate the bacteriological quality of merguez-type sausages commercialized in the city of Aïn Témouchent. An organoleptic evaluation of the samples was also performed to assess their sensory characteristics and correlate them with the bacteriological results. In total, 05 samples were collected from different retail outlets across the city (local butcher shops). The microbiological analysis focused on the enumeration of hygiene indicator and pathogenic microorganisms, notably Total Mesophilic Aerobic Flora (FMAT) and fecal coliforms, as well as the detection of specific pathogens such as Staphylococcus aureus and Salmonella. In parallel, the organoleptic evaluation was based on the criteria of color, odor, appearance, and texture. The microbiological results reveal a worrying situation with a variable overall quality ranging between satisfactory (20%), acceptable (40%), and unsatisfactory (40%), reflecting deficiencies during the grinding, stuffing, or cold chain maintenance stages, or a high initial microbial load of the raw material. On the organoleptic level, most samples exhibited an acceptable visual quality despite a high underlying microbial contamination, thereby highlighting that organoleptic evaluation alone is insufficient to conclude on the hygienic quality of the product. It must therefore be interpreted in conjunction with microbiological and physicochemical analyses. This study emphasizes the imperative need to strengthen hygiene measures and intensify official controls.