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Diagnostic et évaluation de la dégradation des sols par le lixiviat du Centre d'enfouissement Technique (C.E.T.) de Sidi Benadda.
(2026) BELKADI Noussaiba Aicha; BELGACEM. A
Municipal solid waste management through landfilling generates highly polluted leachates rich in
organic matter, dissolved salts, and heavy metals, posing a severe threat to ecosystem sustainability
in semi-arid zones. This introductory research work evaluates and diagnoses the potential impact of
these effluents on the degradation of six agricultural soil horizons located near the Sidi Benadda
Landfill (CET) in the Wilaya of Aïn Témouchent.
The assessment of the intrinsic vulnerability of these soils, based on their physicochemical,
geotechnical, and structural properties, reveals highly heterogeneous behaviors regarding pollutant
migration or retention risks:
High Resilience Zones: Soil 6 emerges as the most resilient profile. Its exceptionally high
organic matter (OM) content (9.02%) combined with high porosity (57.0%) grants it an
excellent adsorption capacity, allowing it to act as a protective natural filter against
contaminant migration.
Critical Vulnerability Zones : Conversely, Soil 2 exhibits the highest environmental risk.
Its extreme depletion in organic matter (1.29%), low porosity, and fragile structural stability
severely limit its buffering capacity, promoting either vertical pollutant leaching toward the
groundwater or lateral runoff.
Intermediate Dynamics : Soils 1, 3, 4, and 5 displays satisfactory organic matter levels
(between 4.7% and 6.3%). However, a strong negative correlation (-0.82) between clay
activity and organic matter indicates that a higher clay fraction in certain profiles tends to
reduce permeability while diminishing overall retention capacity. Furthermore, the high
porosity of Soil 1 (59.1%) raises concerns regarding rapid transport under massive pollutant
loads.
Given these risks of structural and chemical degradation, and despite the presence of an on-site
leachate treatment plant, a regular monitoring network for both soils and groundwater is imperative.
Finally, sustainable management practices - such as applying organic amendments to nutrient-
deficient profiles like Soil 2 - are strongly recommended to enhance filtration capacity and restore
the fertility of this agricultural heritage.
Étude de l’activité antimicrobienne de trois plantes médicinales de la région d’Aïn Témouchent : Artemisia herba-alba, Thymus coloratus et Jasonia tuberosa
(2026) BENZINA Zohra; BERRADJA Narimene; BENBELAID Fethi
The increasing resistance of microorganisms to antibiotics has become a major public health concern, highlighting the need to
explore new natural antimicrobial alternatives. The aim of this study was to evaluate the antimicrobial activity of the essential
oils of Artemisia herba-alba, Thymus coloratus, and Jasonia tuberosa against several bacterial and fungal strains.The essential
oils were extracted by hydro distillation. Their antimicrobial activity was assessed using the disk diffusion method
(aromatogram), as well as by determining the Minimum Inhibitory Concentrations (MICs) and the Minimum
Bactericidal/Fungicidal Concentrations (MBCs/MFCs).The results showed that the essential oil of Artemisia herba-alba
exhibited the strongest antimicrobial activity, followed by Thymus coloratus, whereas Jasonia tuberosa demonstrated weak
activity. These findings highlight the promising potential of essential oils, particularly that of Artemisia herba-alba, as a natural
source of antimicrobial agents that may contribute to combating microbial resistance.
English : Legal Terminology
(جامعة عين تموشنت بلحاج بوشعيب, 2026) TIDJANE, Nesrine
اثر الترقية المهنية على الاداء التنظيمي لدى الاساتذة في التعليم الثانوي:دراسة ميدانية لثانويات من مدينة عين تموشنت
(UNIVERSITY OF AIN TEMOUCHENT, 2026) امال،مولسهول; فاطمة،حاج عمر
This study investigates the impact of professional promotion on organizational
performance among secondary school teachers in Ain Temouchent, Algeria, with a focus
on mediating variables such as organizational justice and job satisfaction. Using a
descriptive-analytical and quantitative approach, a questionnaire was administered to a
purposive sample of 150 teachers, and data were analyzed via SPSS. The results revealed
no statistically significant direct effect of professional promotion on organizational
performance (R=0.141, Sig=0.086). However, organizational justice showed a positive
and significant relationship (R=0.297, Sig=0.000), as did job satisfaction (R=0.279,
Sig=0.001). The study concludes that the effectiveness of professional promotion lies not
in the promotion itself, but in the degree of fairness and job satisfaction it generates. It
recommends enhancing transparency, linking promotions to competence and actual
performance, and improving working conditions to strengthen organizational
performance in educational institutions.
Détection d’activité spectrale à l’aide de RTL-SDR et de l’IA
(2026) Belhocine Chaimaa; Benbachir Nada Chaimaa; YAGOUB Reda
Modern information processing systems have undergone significant evolution driven by digital
transformation and the integration of intelligent technologies into data analysis. Physical signals
are now converted into digital data to be processed using advanced mathematical algorithms,
enabling the extraction of relevant information. Artificial intelligence plays a central role in
improving classification, analysis, and automated decision-making performance. These
technologies are widely applied across diverse fields such as telecommunications, surveillance,
and complex data analysis, offering a deeper understanding of dynamic environments and
enhanced system performance optimization.
In this work, we developed an experimental approach based on the use of the RTL-SDR receiver
for the acquisition of real radio frequency signals, followed by preprocessing and modeling
using supervised learning algorithms including Random Forest, K-Nearest Neighbors (KNN),
and XGBoost. The experimental results demonstrated a robust spectral activity detection
capability, validated through confusion matrices and a comparative performance analysis of the
models.
Furthermore, a web application was designed to make spectral activity detection accessible and
interactive. It incorporates a real-time radio signal capture interface, a CSV file import and
analysis feature, and a dashboard for visualizing analysis results. This platform represents a
practical contribution, providing a flexible tool for spectral analysis and detection in complex
radio environments.