Publications Scientifiques
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Item Tourism Investment in Algeria: Bridging the Gap Between Potential and Performance in the SDAT 2030 Framework(Université de Bordj Bou Arréridj, 2025) Badreddine, Amina; Telkhoukh, SaidaThis study focuses on tourism investment environment in Algeria and its potential to drive economic diversification beyond hydrocarbon reliance. The study used a mixed methodology, reviewing the official tourism statistics (2018-2025) and legislative frameworks and the Tourism Development Master Plan (SDAT 2030) to evaluate the current performance in relation to the strategic goals. Even with recent legislative changes under the 2022 Investment Law and the ambitious target of reaching 12 million visitors annually rather than 2.5 million by 2030, research indicates that there are still ingrained issues: tourism has become a mere contributor to GDP at 1.47% in 2023 compared to the Mediterranean average of 10%, accommodation facilities are critically inadequate at 0.1 hotel rooms per 100 inhabitants and 66% of registered tourism projects are either not started or uncommented. The study concludes that although Algeria holds considerable comparative advantages in desert, coastal and heritage tourism, the opportunities in the country could only be actualised by overcoming the shortcomings in infrastructure, institutional coordination and international marketing.Item أثر الدين الخارجي على النمو الاقتصادي في تونس خلال الفترة(1980-2019) باستعمال طريقة المربعات الصغرى المصححة كليا (fmols)(جامعة أمحمد بوقرة بومرداس, 2021) خميس, كريم; بوشنب, موسىتهدف هذه الدراسة إلى توضيح تأثير الدين الخارجي على النمو الاقتصادي في تونس خلال الفترة (1980-2019)، بعد التخلص من متغيرتي خدمة الدين الخارجي و سعر الصرف الأجنبي، تم تطبيق طريقة المربعات الصغرى المصححة كليا بالإبقاء على متغيرتي الدين الخارجي والاحتياطات الأجنبية، وقد خلصت هذه الدراسة إلى أن الدين الخارجي يؤثر تأثيرا إيجابيا على النمو الاقتصادي في تونس خلال فترة الدراسة. الكلمات المفتاحية : النمو الاقتصادي الدين الخارجي ؛ تونس ؛ دراسة إقتصادية قياسيItem A Comprehensive Review of Pesticide Elimination Methods from Fruits and Vegetables Over the Past Two Decades: Optimizing Produce Safety for Sustainable Food Systems(Research Institute of Food Science and Technology, 2025) Meghlaoui, Zoubeida; Remini, Hocine; Remini-Sahraoui, Yasmine; Mellal, Mohamed Khalil; Boudalia, Sofiane; Brahimi, Yasmine; Negrichi, Samira; Allam, Ayoub; Medouni-Haroune, Lamia; Messaoudene, LyndaThe increasing use of pesticides in agriculture, valued at approximately 43.2 billion USD, has raised significant concerns regarding food safety and human health. This study reviews the effectiveness of various pesticide residue removal methods applied to fruits and vegetables (F & V). A total of 57 studies published between 2005 and 2022 were analyzed, categorizing the methods into 28 household techniques, 19 advanced methods, and 10 combined approaches. Household methods, such as washing under running water, achieved removal rates of up to 90%, while peeling ensured complete (100%) elimination of residues. The addition of salt or vinegar solutions improved removal efficiency, reaching 92%. Advanced methods, notably ozonation, demonstrated high efficacy with up to 95% removal. The most effective approaches were combined techniques, integrating washing, ultrasound, and ozonation, which achieved residue elimination rates of up to 99%. Despite their efficiency, advanced methods face limitations due to high costs and technological constraints, reducing their accessibility for widespread use. This review underscores the necessity of an integrated approach to enhance food safety. Additionally, it highlights the need for further research on the long-term impact of these removal methods on the nutritional quality of F & V. These findings provide essential insights for consumers, farmers, and the food industry, contributing to the development of more effective and practical food safety strategiesItem Environmental Impacts and Behavioral Adaptations of Honeybees in Algeria: A Review of Apis mellifera intermissa and Apis mellifera sahariensis Characteristics(Multidisciplinary Digital Publishing Institute, 2025) Haider, Yamina; Adjlane, Noureddine; Haddad, NizarHoneybees are vital for pollination and the overall health of ecosystems. Since the 18th century, the intricate biology of honeybees has been a subject of scientific inquiry. Understanding their biological and behavioral characteristics is essential for effective beekeeping, honey production, and ecosystem sustainability. This review examines the environmental impact and management practices on the health of local honeybees in Algeria, focusing on Apis mellifera intermissa and Apis mellifera sahariensis. We summarize research findings on genetic diversity, morphometric traits, behavioral characteristics, and adaptation of local honeybees. Additionally, we discuss the threats posed by abiotic and biotic stressors and highlight the importance of conservation and sustainable management. The reviewed studies indicate that environmental factors significantly influence the behavioral characteristics and adaptation of local honeybees. Notably, the hygienic behavior of A. m. intermissa contributes to their resistance against diseases and the Varroa destructor mite. Further research in these areas is important for enhancing our understanding of honeybee health and population dynamics in Algeria, thereby informing strategies for sustainable beekeeping practicesItem Adsorbents Made from Cotton Textile Waste—Application to the Removal of Tetracycline in Water(Multidisciplinary Digital Publishing Institute, 2025) Akkouche, Fadila; Madi, Katia; Aissani-Benissad, Farida; Ali, Fekri Abdulraqeb Ahmed; Assadi, Amine Aymen; Assadi, Amir Achraf; Azzaz, Ahmed Amine; Yahiaoui, IdrisThe adsorptive removal of tetracycline (TC) in aqueous solution, a widely used antibiotic, was investigated using activated carbon derived from cotton textile waste. The valorization of textile waste provides a sustainable strategy that not only reduces the growing accumulation of discarded textiles but also supports a circular economy by transforming waste into efficient adsorbent materials for the removal pharmaceutical contaminants. This dual environmental and economic benefit underscores the novelty and significance of using cotton-based activated carbons in wastewater treatment. In this study, cotton textile waste was utilized as a raw material for the preparation of adsorbents via pyrolysis under nitrogen at 600 °C followed by chemical modification with H2SO4 solutions (1, 2, and 3 M). The sulfuric-acid modified-carbons (SMCs) were characterized by BET surface area analysis, FTIR spectroscopy and SEM imaging. Batch adsorption experiments were carried out to evaluate the effects of key operational parameters including contact time, initial TC concentration and solution pH. The results showed that the material treated with 2 M H2SO4 displayed the highest adsorption performance, with a specific surface area of 700 m2/g and a pore volume of 0.352 m3/g. The pH has a great influence on TC adsorption; the adsorbed amount increases with the initial TC concentration from 5 to 100 mg/L and the maximum adsorption capacity (74.02 mg/g) is obtained at pH = 3.8. The adsorption behavior was best described by Freundlich isotherm and pseudo-second-order kinetic models. This study demonstrates that low-cost and abundantly available material, such as cotton textile waste, can be effectively repurposed effective adsorbents for the removal of pharmaceutical pollutants from aqueous mediaItem Retraction notice to "Feasibility study of a grid-connected PV/wind hybrid energy system for an urban dairy farm" [Heliyon 10 (2024) e40650](Cell Press, 2025) Bouregba, Hicham; Hachemi, Madjid; Samatar, Abdullahi Mohamed; Mekhilef, Saad; Stojcevski, Alex; Seyedmahmoudian, Mehdi; Hamidat, AbderrahmaneItem Groove Gap Waveguide Crossover for Butler Matrices and Beamforming in Millimeter-Wave Satellite Antenna Systems(Institute of Electrical and Electronics Engineers, 2025) Alibakhshikenari, Mohammad; Parand, Peiman; Zidour, Ali; Virdee, Bal S.; Kouhalvandi, Lida; Longhi, Patrick; Saber, Takfarinas; Limiti, ErnestoThis paper presents an innovative H-plane crossover based on groove gap-waveguide (GGW) technology for high-performance millimeter-wave (mm-wave) circuits. The design facilitates the development of key transmission components, such as Butler matrices (BMs) and beamforming feeding networks (BFNs), for multi-beam antenna systems operating in the V-band spectrum (40-50 GHz). The proposed crossover is built by cascading two identical 3-dB/90° hybrid couplers. Each coupler is designed with GGW unit-cells constructed from metallic pins spaced less than a quarter-wavelength apart. This configuration creates a wide stopband of 20-57 GHz, ensuring minimal signal interference and strong impedance matching. The coupler achieves 90° phase shift, 50 dB isolation, and low insertion loss of 0.02 dB at 45 GHz, with a fractional bandwidth of 22.22%. The crossover demonstrates excellent performance over the entire V-band, making it suitable for advanced antenna systems in satellite communications and space applications. The design reduces complexity, cost, and losses typically associated with 3D and multilayer crossover technologies, providing a compact and efficient solution for mm-wave networksItem Towards Blockchain-Based GDPR-Compliant spontaneous and ephemeral social network(Institute of Electrical and Electronics Engineers, 2025) Yahiatene, Youcef; Rachedi, Abderrezak; Riahla, Mohamed AmineOnline Social Networks (OSNs) have rapidly integrated into our daily lives since their emergence in 2004, primarily serving as platforms for sharing personal information. This paper introduces a novel category of social networks: Spontaneous and Ephemeral Social Networks (SESNs). Unlike traditional OSNs, SESNs are event-centric, facilitating real-time connections and content sharing among participants within specific contexts. The main objective of SESNs is to improve the production, sharing, and consumption of digital content among network members. SESNs operate on a distributed peer-to-peer architecture using ad hoc mobile networks, leveraging the capability of mobile devices to communicate directly with each other in peer-to-peer mode. SESNs are ephemeral by nature, dissolving once participants disperse from the event location. However, for future analysis, some content may be retrievable from an external server after the event. A potential concern is that collaborative content creation within SESNs resembles crowdsourcing. However, in SESNs, the service provider may retain control over the data even after the event concludes. This centralized management of user-generated content could pose risks to user anonymity. To address these concerns, we propose a blockchain-based architecture that certifies transactions and ensures data anonymity in a decentralized manner. The proposed architecture demonstrates its robustness through a performance evaluation and a comprehensive security analysis. Our solution guarantees data integrity, confidentiality, privacy, anonymity, and network resilience. Additionally, blockchain technology is employed to ensure SESN compliance with the General Data Protection Regulation (GDPR).Item Evaluating Storage Potential and Integrity of Depleted Reservoirs for CO₂ Injection(2025) Zakarya, Belimane; Youcefi, Mohamed Ryad; Benbrik, Abderrahmane; Hadjadj, AhmedAs global industrial activity grows, carbon dioxide emissions increase, intensifying greenhouse effect and climate change and demanding solutions beyond renewable energy. This study investigates CO₂ sequestration in subsurface formations as a promising mitigation strategy to support international climate goals and reduce carbon levels. Using CMG 2021 software, different trapping mechanisms, including structural, residual, and solubility trapping, were evaluated in detail to determine their individual and combined contributions to overall storage capacity. Results show that integrating all three mechanisms increases storage potential by 30% compared with structural trapping alone. In addition, geological uncertainty was addressed through Monte Carlo simulations. For that, multiple realizations were generated by varying key reservoir parameters such as porosity, permeability and hysteresis-related parameter. This probabilistic approach allows for a more robust assessment of storage capacity variability and enhances prediction confidence. Furthermore, caprock integrity was evaluated using a two-way geomechanical coupling approach with the Bendis model. The findings indicate that injection-induced pressure reduces effective stresses within the caprock, which may promote tensile failures and create potential leakage pathways. This integrated analysis demonstrates that coupling numerical simulation and probabilistic tools support safer, more effective CO₂ storage, which offers a viable long-term solution for global climate change mitigation efforts.Item Design of Sliding Mode Control Applied to Inverted Cart-Pendulum for Good Stability Performances(2025) Miloudi, Lalia; Toubal Maamar, Alla Eddine; Elamri, Oumaymah; Benabdallah, TassaditThis paper proposes a resilient sliding mode control (SMC) strategy for the stabilization of a cart-pendulum system, tackling significant issues in nonlinear control, including parametric uncertainties and external disturbances. The suggested solution uses a two-step process: first, an open-loop energy-based swing-up to lift the pendulum, and then a closedloop SMC phase to keep it stable. The designed controller uses a saturation function to reduce chattering, which is different from methods that depend on linearized models or complicated gain tuning. The simulation results show that the accuracy is very high, with settling times of about 5 seconds for the pendulum angle and 7 seconds for the cart position. The controller works well even when the system mass and disturbances change by 10%, as long as the cart can only move ±0.5 m and the control forces can only be ±10 N. Stability is reached from the most unfavorable initial condition, the pendulum's downward-hanging position, with a steady-state error of under 1% in essential state variables. This work offers a computationally efficient and adaptive solution, appropriate for real-time applications in robotics and aerospace where resilience to nonlinear dynamics and uncertainty is essential.