Publications Internationales
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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 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 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 dampingItem Androgen Dependency of the Pituitary-Adrenal Axis in the Gerbil (Gerbillus tarabuli ) (Thomas, 1902) Living in the Algerian Sahara Desert(Universidad de la Frontera, 2025) ZATRA, Y; AKNOUN-SAIL, N.; KHEDDACHE, A.; BENMOULOUD, A.; CHAKHMA, A.; KHAMMAR, F.; CHARALLAH, S.; AMIRAT, Z.We previously reported that the free-living male Gerbillus tarabuli exhibits opposite seasonal variations of the pituitary adrenal axis activity to that of the pituitary gonadal axis, suggesting negative interrelationships between these endocrine functions. So, in this paper we investigate the role of testosterone on pituitary adrenal axis by removing testes during the sexually active period. Gerbils were captured in late winter and early spring in their natural Saharan biotope. The experiment involved three groups of eight adult males (sham-operated control, gonadectomized and testosterone-replaced gonadectomized gerbils). The right adrenal and pituitary glands were quickly taken out from euthanasia performed 30 days after gonadectomy or 7 days after testosterone replacement. Then, they were fixed either for beta-catenin (β-catenin) immunohistochemistry in the adrenal glands using specific β-catenin antibody or double-labelled indirect immunofluorescence for androgen receptors (AR) and ACTH cell detection in the pituitary sections using a rabbit polyclonal anti-AR antibody and a mouse monoclonal antibody against ACTH. In the intact gerbils, AR were found colocalized with ACTH in pituitary corticotroph cells. The adrenocortical immunolocalization of β-catenin was particularly capsular and slightly glomerular, whereas it was absent in the inner zona cortical. After orchiectomy, ACTH cells were less numerous with a weak expression of AR. In the adrenal cortex, castration induced a strong β-catenin immunoreactivity in the fasciculata and zona reticularis with a centripetally decreasing gradient; b-catenin immunoreactivity disappears completely in the adrenal capsule. Testosterone replacement therapy restores all parameters. These results suggest an inhibitory effect of testosterone on the pituitary-adrenal axis of Gerbillus tarabuli ; this steroid could act via a central pathway and locally with an important position of canonical Wnt/β-catenin signaling in order to preserve adrenal cortex zonation and homeostasis throughout the year in this seasonally breeding Saharan rodent.Item Lateral lithologic distribution of Triassic formations in the Algerian Oued Mya basin using combined petro-elastic and seismic inversion attributes(Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, 2025) Zegagh, Badis; Eladj S.; Mihoubi A.; Boufenchouche S.; Boulassel A.; Gaci S.; Farfour M.; Kehila A.; Arab M.; Bennamane K.This paper presents a combined litho-discrimination approach based on petro-elastic attributes and simultaneous seismic inversion. The analysis adopted attempts to characterise the Triassic fluvial reservoirs, in the Oued Mya basin, Algeria, in terms of lateral distributions of sandstone, shale, and silt. The Triassic sandstones suffer from the presence of silt, which significantly increases the compaction degree of the reservoir parts and decreases the quality of petrophysical properties. The litho-discrimination analysis improves seismic inversion accuracy, providing a more detailed understanding of subsurface rock properties. It separates the effects of different rock types, such as sandstone and shale, leading to better interpretations while reducing noise. It avoids misinterpreting noise as geological signals and, thus, yields more reliable inversion results. It enables better differentiation of complex lithologies, which is particularly crucial in regions with subtle variations in rock properties. For the purpose of an efficient litho-discrimination, a variety of petro-elastic attributes have been carefully examined to find the best attributes that can respond to lithology change. S- and P-impedances are found to be adequate litho-discrimination models with the best prediction capabilities. They have a high correlation coefficient and slightly linear lithology regressions for sand, silt, and shale, showing a good agreement with gamma ray well log responses and analysis results of core data. The litho-discrimination analysis can assist us in the prospect generation and risk assessment of the optimum locations for drilling wells in the region. Seismic pre-stack inversion is used to predict variations away from the well location. The applied workflow enables better discrimination of silt, sandstone, and shale within the T2 reservoir, where the presence of silt is mostly associated with compaction. The seismic analysis revealed a random non-uniform laterally distributed silt over the upper part of the T2 reservoir, which is consistent with the geological and sedimentological descriptions that support the existence and absence of compact intervals from well to well in the studied region. The later compaction (silty levels) is the main possible cause of the petrophysical parameter alteration, resulting in differences in the production results (oil, water, etc.) of the drilled wells in the area of interest.