Publications Scientifiques
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Item Seismic modification factors for box girder bridges using a proposed pushover technique incorporating torsional vibration modes(Croatian Association of Civil Engineers, 2025) Aouiss, Soumia; Aouiss, Soumia; Sandjak, Khaled; Amar, LouzaiThis paper presents the results of numerical investigations on seismic modification factors (R) for algerian box girder bridges (BGBs) with both equal and unequal pier heights, using a proposed pushover technique that incorporates torsional vibration modes. In the first part, the BGB referenced in a project by the Algerian Highway National Agency is selected to evaluate the components of the R-factor in the transverse direction. Conventional pushover analysis (CPA), employing the elastic first mode, uniform, and upper-bound lateral load patterns, as well as the proposed pushover technique, is conducted. The results of CPA and the proposed pushover technique for the reference BGB are examined in terms of R-factor components, including overstrength (Ω) and global ductility (R-µ), and are compared with those obtained using the incremental dynamic analysis (IDA) technique. The findings indicate strong agreement between the proposed pushover technique and the IDA techniqueItem Midas أثر سعر الصرف على الميزان التجاري الجزائري باستخدام نماذج الانحدار(جامعة زيان عاشور -الجلفة, 2025) يحياوي, نذير; سـعيج, عبد الحـكيمتهدف هذه الدراسة إلى قياس أثر سعر الصرف بتردد عالي (شهري) على الميزان التجاري بتردد منخفض ( ربع سنوي) إضافة إلى التنبؤ برصيد الميزان التجاري خلال سنة 2024 و الربع الأول من سنة 2025. و قد توصلت الدراسة إلى وجود أثر لكل ثلاث أشهر غير متناسق لسعر الصرف على الميزان التجاري الربع سنوي حيث يبدأ سلبيا في الفترة الأولى ثم يصبح إيجابيا خلال الفترة الثانية و ثم يعود سلبيا مرة ثانية ، كما أن نتائج التنبؤ قد بينت أن رصيد الميزان التجاري الربع سنوي في الجزائر يبقى في نفس التوجه نحو التراجع بالرغم من تسجيل أرصدة موجبة.Item Some identities involving odd homogeneous multiple harmonic numbers and other related sums(2025) Kehila, WalidIn this paper, we study a certain type of polynomials that yield new identities for (odd) homogeneous multiple harmonic numbers and other related sums.Item Variation in compost pedofauna under different carbon inputs and watering treatments(Gheorghe Asachi Technical University of Iasi, 2025) Metna, Fatiha; Hammoum, Arezki; Slimani, Rachid; Kanane, MelissaThe current study was carried out at Bouzeguène’s psychoeducational center (Tizi Ouzou, Algeria), with a focus on the monitoring of compost pedofauna in relation to carbon inputs (dead leaves, paper-cardboard, and olive pomace) and watering liquids (water, lactoserum, and vegetation water). These composts were created by valorizing the organic fraction, which constituted 60 to 70% of household and similar waste. Nine tests were run to monitor the composting process. Two tons of organic waste were combined with 1.5 tons of three kinds of carbon waste. This mixture was composed of 50% nitrogenous matter and 50% carbon material. Three composters were monitored for each type of carbon material: the first was watered with water, the second with vegetation water, and the third with lactoserum. The analyzed composts contained eleven faunal groups. The average number of individuals varied between 356 ind/6250 cm3 of compost mixed with dead leaves and watered with vegetation water and 9286 ind/6250 cm3 of compost mixed with cardboard paper and watered with lactoserum. Mites dominated the nine substrates, with an average density of 99% in composts containing cardboard paper, as well as those mixed with olive pomace, and watered with lactoserum. They were followed by Diptera and Coleoptera larvae, with the remaining faunal groups under represented or absent, most likely due to inter and intraspecific competition and predation. Our findings revealed that watering with vegetation water encouraged the formation of a larger number of faunal groups.Item Classical and Quantum SVM for Electromyography-Based Myopathy Detection: A Comparative Exploration(Polish Society of Medical Physics, 2025) Hammachi, Radhouane; Messaoudi, Noureddine; Belkacem, Samia; Pasetto, Edoardo; Delilbasic, AmerIntroduction: Electromyography (EMG) analysis is one of the most fundamental approaches for diagnosing neuromuscular diseases. Current advancements in technology have the potential to improve diagnosis accuracy using artificial intelligence (AI). Quantum machine learning (QML), while still in its early stages, offers promising potential for various medical applications, but its effectiveness in real-world diagnostic tasks needs further exploration. Thus, the aim of this study is to employ both quantum and classical support vector machines (SVMs) to classify EMG signals into two classes, healthy and myopathy, and compare their performance. Methods: Various approaches were tested; classical SVM and quantum-kernel-based SVM, both with manually extracted features, and convolutional neural network (CNN)-based deep features extraction techniques. This allows for an evaluation of the strengths and limitations of this new technology, acknowledging the potential of both classical and quantum methods. Results: The obtained results showed that the proposed quantum methods yielded promising outcomes and comparable to classical methods. Particularly, the competitive results of the quantum SVM (QSVM) with the CNN-based deep feature extraction approach, which delivered a high training and testing accuracies of up to 96.7% and 85.1%, respectively. Conclusion: These findings encourages the necessity for more advanced QML research, particularly in medical applications as quantum technology progresses.Item Deep Learning Classification of Simulated Surface EMG Signals across Maximum Voluntary Contraction Levels(Institute of Biophysics and Biomedical Engineering at the Bulgarian Academy of Sciences, 2025) Hammachi, Radhouane; Belkacem, Samia; Messaoudi, Noureddine; Bekka, Raïs El’hadiElectromyography (EMG) is a fundamental tool in diagnosing neuromuscular disorders (NMD). Due to the complex nature of EMG signals, different approaches, based on artificial intelligence and machine learning, were developed for EMG signal analysis and NMD diagnosis. Considering the critical role of maximum voluntary contraction (MVC) as a fundamental metric in assessing muscle fatigue, in this work, classification of simulated surface EMG (sEMG) into MVC levels is performed. Unlike previous studies, which focus primarily on binary classification of fatigue and non-fatigue states, our approach employs a deep convolutional neural network for the classification of sEMG signals into ten MVC levels, where the model outputs categorical predictions, with each class representing a specific MVC level. sEMG signals were generated using a computer muscle model that we developed using MATLAB, which allows for greater control over variability, ensuring robustness and generalizability of the model. The obtained results demonstrate that the model achieved high performance in differentiating between the ten classes (MVC levels), with an accuracy, F1-score, recall, and precision of 88.88%, 88.75%, 88.80% and 88.86%, respectively. These findings reveal that the model can accurately differentiate across MVC levels, indicating a potential method for accurate assessment of muscle fatigue intensity.Item Durability Indices of a Sealing Mortar Incorporating Blast Furnace Slag(2025) Ikhaddalene, Soumia; Irekti, Amar; Oualit, MehenaGround granulated blast furnace slag generated from steel manufacturing presents environmental challenges, but it can be valuable when utilized as a supplementary material in concrete, contributing to the development of sustainable materials. In this research, a new sealing mortar was prepared by substituting 10% of the cement with slag (M10). This material can provide performance comparable to M234, a M0 sealer used for sealing and wedging supports and machine bases. The mechanical properties and durability indices of both M10 and M234 were compared to the reference mortar MISO, which is a laboratory-made mortar free of slag. XRD analysis was conducted to determine the crystallinity of the starting cement, and granulometry revealed a median size distribution of 23 μm for the slag after grinding. Capillary absorption and water-accessible porosity were tested for all samples.Item أحكام التصرفات القانونية لمريض مرض الموت وفق مجلة الأحكام العدلية في فلسطين -الضفة الغربية(جامعة زيان عاشور الجلفة, 2025) مرار, محمدمرض الموت هو مرض يضعف المريض ويعجزه عن ممارسة حياته الطبيعية ،ويرجح أن يؤدي إلى وفاته خلال فترة زمنية قصيرة عادةً سنة أو أقل ،وإنه ليس كل تصرف يجريه المريض مرض الموت قابل للإبطال ، حيث أن تصرفاته في حدود ثلث التركة للغير ،فهي صحيحة ونافذة ،ولا يحق للورثة الاعتراض عليها ،أما التصرف لوراث فهي موقوفة على إجازة الورثة ،وهذا وفق مجلة الأحكام العدلية المطبقة في فلسطين -الضفة الغربية-. من خلال هذه المقالة توضيح أحكام التصرفات القانونية لمريض مرض الموت وفق مجلة الأحكام العدلية في فلسطين -الضفة الغربية-،حيث تعتبر مجلة الأحكام العدلية هي القانون المدني المطبق في فلسطين -الضفة الغربية- في ظل عدم سن مشروع القانون المدني الفلسطيني لعام 2012م ،وأن التطور الهائل في العلوم الطبية ،وتطور وظهور أمراض لم تكن معروفة من السابق أو لم تكن موجودة ،ومدى إمكانية السيطرة عليها والتحكم بالمضاعفات الناتجة عنها ومدى تأثيرها على الوعي والادراك لدى المريض ،واعتبارها مرضا أفضى لوفاة من أصابته.Item Conservation of Deglet Nour variety dates in syrup form and study of their quality(Universidad de Costa Rica, 2025) Lagha-Benamrouche, Samira; Hezil, DjamilaDeglet Nour date syrup is gaining popularity due to its unique flavor and potential health benefits. Assessing its quality is crucial for both consumers and producers, as it directly influences its market value and health reputation. Objective. To evaluate the nutritional value, sensory quality, and antioxidant potential of Deglet Nour dates in syrup form. Materials and methods. The biological material was collected in Biskra, Algeria, in December 2019, during the maturation period of the plant material. To determine the various components of biological substances, quantitative analysis through color reactions was employed to measure total sugars, reducing sugars, non-reducing sugars, proteins, polyphenols, and flavonoids. The amounts of lipids and ash were recorded, and an atomic absorption spectrophotometer was applied to assess the variety of minerals. Testing for antioxidant activity was conducted through antiradical experiments. Furthermore, sensory evaluation included 45 individuals who assessed this syrup against others, concentrating on clarity, sweetness, and general flavor preference. Results. The chemical composition analysis revealed an average total sugar content (52 %), a moderate amount of protein (1.6 %), and low-fat content (0.09 %). The energy content was 215.6 kcal/100 g. The mineral analysis showed that the syrup is rich in essential minerals, particularly calcium, sodium, and magnesium. Flavonoids were identified as the predominant antioxidants, with anti-free radical activity e stimated at 27.62 %. The sensory evaluation compared Deglet Nour syrup to Ghers and Degla-Beida varieties. The classification test showed that Deglet Nour syrup was perceived as the clearest. While it did not differ significantly in sweetness from Degla-Beida, it was preferred by tasters for its more pleasant taste. Conclusions. Dates of the Deglet Nour variety, which are highly sensitive to deterioration, yield after processing a natural syrup with the desired nutritional, therapeutic, and sensory properties.Item On the ν-th-order solutions for nonlinear viscoelastic wave equation with averaged damping in RN(Canadian University of Dubai, 2025) Guidad, Derradji; Sabbagh, Zineb; Bouhali, KeltoumThis paper investigates the existence, uniqueness, and qualitative properties of ν-th-order solutions for a class of nonlinear viscoelastic wave equations with averaged damping in the whole space R n, n ≥ 3ν, ν ≥ 1. The model incorporates both linear memory effects and a time-averaged damping term, which captures a more realistic dissipation mechanism in complex media. By employing energy methods, stable set method, and an appropriate integral inequality, we establish the global well-posedness of higher-order solutions under suitable assumptions on the nonlinearity and initial data with minimal a priori mathematical restrictions on the parameters ν, q, p. The analysis extends previous results on lower-order formulations, providing a broader framework for understanding the dynamic response of viscoelastic materials with memory and damping