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Sémiotique de l’image Cours et TD- S2-
(جامعة عين تموشنت بلحاج بوشعيب, 2026) BAHRI Souad
القانـون الإدازي 1
(جامعة عين تموشنت بلحاج بوشعيب, 2026) حبشي ليلى كميلة
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.
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.
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.





