Mobile Wireless Sensor Networks (MWSNs) enhance traditional wireless sensor networks by allowing sensor nodes to move, resulting in continuously changing network topologies. Although this mobility enables advanced applications such as disaster response, intelligent transportation systems, and mission-critical monitoring, it poses major challenges for secure and scalable key management in large-scale deployments. Most existing key management and key pre-distribution schemes are tailored to static or lightly mobile networks and therefore suffer from limited scalability, excessive memory consumption, inefficient key utilization, and increased vulnerability to node capture when applied to highly mobile environments. This paper proposes a mobility-aware, zone-based key management scheme that integrates an enhanced composite key distribution mechanism with dynamic key refinement. The network is partitioned into logical zones, each maintaining an independent key pool to confine security breaches and improve scalability. To adapt to mobility-induced topology changes, sensor nodes continuously refine their key rings by preserving only the cryptographic keys associated with persistent neighbor relationships. This selective retention strategy significantly reduces storage overhead while strengthening resilience against key compromise and unauthorized access. Comprehensive analytical modeling and performance evaluations demonstrate that the proposed scheme achieves higher secure connectivity, stronger resistance to node capture attacks, and improved scalability compared to existing approaches, particularly in dense and highly mobile MWSN scenarios.

Quantum Key Agreement (QKA) is a cornerstone of quantum cryptography, facilitating secure key distribution among multiple participants. Existing QKA protocols often suffer from scalability issues and increased computational complexity as the number of participants grows. This paper proposes an efficient Circle Multiparty Quantum Key Agreement (CMQKA) protocol based on the BB84 protocol. This protocol enhances quantum resource efficiency and ensures equal participation in a circular topology. The key feature lies in the optimized use of quantum resources, minimizing the qubit overhead while ensuring high security standards. By achieving a qubit efficiency of 1/2n, it significantly improves the multiparty quantum communications. A thorough security analysis is conducted to demonstrate the protocol’s resilience against common quantum threats.

This study investigates the integrated planning of production, maintenance, and quality control in a hybrid manufacturing-remanufacturing system, accounting for deterioration, variability in the quality of returned products, carbon emissions, and outsourcing opportunities. The network consists of a manufacturer collaborating with an outsourcing remanufacturing provider. The manufacturer operates a single failure-prone machine to produce new products and to remanufacture returned ones. Recovered products that the manufacturer cannot process are sent to the outsourcing provider for remanufacturing. The system generates harmful emissions, potentially leading to environmental taxes and sanctions. We formulate a mixed-integer nonlinear programming model to determine the optimal integrated manufacturing, remanufacturing, outsourcing, and preventive maintenance plan. Eventually, the proposed strategy minimizes total economic costs and defects and ultimately reduces carbon emissions. We use a global solver for solving small instances, while a genetic algorithm metaheuristic is developed for larger ones. Extensive computational experiments reveal that the developed genetic algorithm is highly efficient, achieving gaps of less than 0.95% within shorter execution times for small instances and significantly outperforming the solver in larger ones. The results show that the integrated outsourcing strategy, combined with accounting for carbon emissions from both new and remanufactured products, significantly reduces the reliance on new products, leading to notable cost savings and environmental benefits. These savings become more pronounced as the number of returns increases.

Oil well drilling is an expensive process that needs a particular focus. For this reason, Rate Of Penetration (ROP) has been widely approved as a measure of drilling efficiency and adequate configuration parameters. Our aim in this work consists in the elaboration of a smart system using Hoeffding trees for predicting the Rate of Penetration (ROP) in oilfield drilling. The choice of Hoeffding trees to build our model is motivated by their adaptive learning capability and drift detection. They offer continuous, fast, and efficient learning both online on data streams and offline on batch data. To validate our approach, we used real drilling data from the “Hassi-Terfa” oilfield located in Southeast Algeria. The obtained results show in comparison to the eXtreme Gradient Boosting (XGBoost) algorithm that Hoeffding trees maintain their learning capacity and produce more accurate predictions even in the presence of drifts. This is thanks to the combination of the Adaptive Windowing (ADWIN) algorithm to manage drifts and least mean squares (LMS) filters to reduce noise. This observation highlights the effectiveness of our approach to predict the ROP while oil-well drilling. The proposed smart system offers more efficient solution to predict the ROP, whether in real-time or offline. By leveraging its adaptability to changes in data distribution, our approach ensures more accurate and adaptive predictions, facilitating drilling operations optimization and boosting the overall efficiency of the process.

Wild chicory, or Hyoseris radiata L., is indigenous to the Mediterranean region, is a plant used in traditional medicine as a diuretic, blood depurative, and against kidney stones. The present study aimed to assess for the first time the acute and subacute toxicity, to quantify the total amount of polyphenols and flavonoids, and to assess the antioxidant activity of H. radiata collected from Setif, Algeria. The overall amount of flavonoids and polyphenols was quantified spectrophotometrically. The antioxidant activity of the extract was evaluated according to two methods, DPPH and FRAP. The acute toxicity of H. radiata was carried out according to the OECD guideline 423 to determine the median lethal dose LD50 and the subacute toxicity was evaluated according to OECD guideline 407 to assess the possible pathological effects of the extract administered for 28 days by oral route. The results show that the total amount of polyphenols and flavonoids was 132.53 ± 2 µg of GAE·1 mg-1 and 96.11 ± 3.65 µg of QE·1 mg-1 of extract, respectively. The extract shows a good antioxidant potential in both tests. The administered dose (2 g·kg-1 of BW) didn’t produce any changes in general behaviors or mortality, so the LD50 is greater than 2 g·kg-1 of BW. Moreover, the daily administration of the extract with 2 doses, 100 mg·kg-1 and 200 mg·kg-1 didn’t cause any changes in body weight, behavior test, hematological parameters, and organ relative weight. A significant decrease in triglyceride was recorded in both concentrations. Based on the present findings, the extract of H. radiata has no significant toxicity. These findings offer valuable information about the toxicity profile of the traditional medicine plant Hyoseris radiata L.

تتناول هذه الدراسة تدريب القوة العضلية في حالتي التقلص المركزي والتقلص اللامركزي، وتأثيرهما على كمية كريات الدم البيضاء والتغيرات التي تحدث فيها، بغية معرفة مدى تأثير كل نمط تدريب على هذا المكون الدموي، وإن كان الكريات البيض تعد مبينا لما يحدث على مستوى النسيج العضلي المتعرض لتدريب القوة العضلية في هاذين النمطين، وذلك لدى عينة قصدية من نخبة رياضة الجودو قوامها 10 رياضيين مقسمين إلى مجموعتين، مجموعة معنية بالتقلص المركزي والأخرى بالتقلص اللامركزي، واعتمدنا على الاختبارات البدنية (1RM) لتقنين الأحمال حسب متطلبات الطريقة المستخدمة في الحصة التجريبية (10×10)، وعلى التحليلات الدموية في 3 مراحل (قبلي، بعدي، تتبعي). وبعد جمع البيانات ومعالجتها إحصائيا تم تأكيد الفرضية القائلة بأن تأثير الحصة التدريبية للقوة العضلية المقترحة يختلف بشكل كبير حسب حالات التقلص العضلي (المركزي، اللامركزي)، وخلصنا إلى أن تدريب القوة العضلية يختلف تأثيره على كريات الدم البيضاء حسب نوع التقلص العضلي، وأن النمط اللامركزي يتميز بإحداث تلف كبير على مستوى النسيج العضلي وفترة استشفاءه كبيرة لكن نتائجه أفضل، مقارنة بالنمط المركزي. الكلمات المفتاحية: التدريب الرياضي؛ القوة العضلية؛ التقلص المركزي؛ التقلص اللامركزي؛ كريات الدم البيضاء؛ تلف الخلايا العضلية.

Thermal runaway of a chemical process is a dangerous phenomenon that threatens human life, equipment, installations, and the environment. The aim of our work is to propose a methodology for analyzing and quantitatively assessing the risk of thermal runaway in a polymerization reactor. Firstly, HAZard and OPerability analysis(HAZOP)is used to determine the most critical deviations likely to occur in the polymerization reactor under study and leading to the thermal runaway phenomenon. The various accident sequences are determined and evaluated using event tree analysis (ETA). The causes of the failure of safety barriers implemented in the reactor to prevent the runaway phenomenon are determined using fault tree analysis (FTA). Finally, an economic analysis is carried out to show the economic impact of safety failure barriers on the company. Application resultsof the proposed methodology show its relevance as a decision-making tool for good industrial risk management. The novelty of this hybrid approach lies in its systematic workflow. Qualitative identification (HAZOP) directly informs quantitative frequency estimation (ETA), which in turn relies on detailed reliability analysis (FTA) to assess safety barrier performance. This integrated methodology not only provides a quantitative risk frequency but also identifies the most critical safety barriers and offers an economic rationale for investment decisions through cost-benefit analysis (CBA), thereby bridging the gap between technical risk assessment and managerial decision-making

This paper presents ELAREES, a task scheduling algorithm for heterogeneous multiprocessor real-time systems, designed to optimize energy savings while enhancing fault tolerance. ELAREES addresses the dual challenges of fault tolerance in task execution and communication reliability between tasks, alongside efficient power management. The algorithm employs a primary/backup strategy, assigning each task a primary execution on a low-power (LP) core and a backup on a high-performance (HP) core to ensure resilience against execution faults. Furthermore, ELAREES integrates a robust communication protocol that monitors data transmission over shared media connection buses, dynamically selecting optimal transmission paths and initiating retransmissions when necessary to mitigate communication errors. By leveraging Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM) techniques, ELAREES achieves significant power savings while maintaining high system reliability. Simulation results demonstrate consistent power savings of approximately 30% across various scenarios, with only a minimal impact of 0.02% on reliability. This research contributes to the field of energy-efficient computing in real-time systems, offering a comprehensive solution for managing the trade-offs between energy consumption, execution fault tolerance, and communication reliability in heterogeneous multicore environments.

Le présent article propose une étude portant sur "Les Porteurs de Feu" de Salah Stétié. Dans cet essai, Stétié s'appuie sur la voix du mythe, qui s'imprègne du texte pour en devenir le cœur battant, afin de dresser un vibrant hommage à la poésie arabe. Il y attribue également aux poètes arabes le rôle d’alchimistes qui transforment l’imaginaire en réalité en se servant du pouvoir de la création verbale Mots-clés : mythe , alchimistes, imaginaire, poésie arabe.