Centre Hospito Universitaire de Sétif

This paper proposes two main contributions to fractional-order modeling and control of biological systems that may exhibit chaotic behavior. First, a fractional-order chaotic model is designed to represent a biological enzyme using bifurcation diagrams and fractional orders tuning inspired by the available integer order model. This new approach improves the biological model by introducing physical properties specific to fractional order systems such as the memory effect, fractal properties, tissue heterogeneity and non-local behavior. Furthermore, this makes the use of a more effective, robust and powerful fractional-order control easier and more natural. The second main contribution is to propose a fractional-order sliding mode surface in order to derive a sliding mode control (SMC) controller that is able to stabilize this fractional-order biological system asymptotically. We successfully performed the stability analysis using the Lyapunov theory. Numerical simulations using MATLAB are given to demonstrate the efficiency of the proposed fractional-order controller with a drastic improvement in convergence time comparatively to the integer-order counterpart.

This is a summary of the original article "Safety and effectiveness of concomitant iGlarLixi and SGLT-2i use in people with T2D during Ramadan fasting: a SoliRam study sub-analysis." iGlarLixi is a fixed-ratio combination of insulin glargine 100U/ml and glucagon like peptide1 receptor agonist (GLP-1RA) lixisenatide which has demonstrated its effectiveness of improving glycemic parameters and reducing body weight with low risk of hypoglycemia incidence in adults with type2 diabetes (T2D) who were previously sub-optimally controlled with oral antidiabetic drugs (OADs) alone or in combination with basal insulin or GLP-1RA. This sub-analysis of the SoliRam study assessed the safety and effectiveness of concomitant iGlarLixi and sodium/glucose cotransporter2 (SGLT-2i) use with or without other OADs in adults with T2D who fasted during Ramadan. Participants were divided into two groups: SGLT-2i-users and SGLT-2i-non-users. The findings showed low incidence of severe and/or symptomatic documented hypoglycemia, improved glycemic control, and body weight benefits, irrespective of SGLT-2i use. No serious adverse events were reported in either group. The sub-analysis concluded that the concomitant iGlarLixi and SGLT-2i therapy, with or without other OADs, was demonstrated to be a safe treatment for people with T2D during Ramadan fasting.

The present study aimed to determine the level of social inclusion among a sample of persons with disabilities (the deaf–mute group) who practice adapted physical and sports activities alongside their healthy peers within society. We also sought to examine the statistical significance of differences across participants in terms of age and sex. To achieve these objectives, the researcher employed a descriptive research design. Data were collectedvia a final 19-item questionnaire to measure inclusion, which was administered to a sample of 43 participants and was distributed by sex and age. After appropriate statistical procedureswere applied, the study revealed that participants' inclusion was moderate. The findings further indicated that there were no statistically significant differences among participants attributable to sex or age.

Landslides are among the most damaging natural hazards, threatening infrastructure and communities. This study investigates a landslide in Medea, Algeria, located between National Roads 01 and 18, where slope instability disrupts local transport. Geological and geotechnical surveys revealed decompressed marly clays, groundwater infiltration, and seismic activity as the main triggering factors. Stability analyses using Geo-Slope software showed that the slope is stable in dry conditions but becomes unstable when saturated or subjected to seismic loads. To improve safety, a reinforcement technic using recycled tires mixed with soil was evaluated. Numerical simulations confirm that tire–soil reinforcement increases shear strength and raises safety factors above critical thresholds. This sustainable and cost-effective solution demonstrates the potential of recycled materials for slope stabilization and landslide risk reduction.

Synchronous generators (SG) are key electromechanical converters widely used in power plants, where precise excitation control is crucial for maintaining voltage regulation and stability. The main limitation of the conventional brushless excitation (CBE) system is its inability to supply negative voltages to the field winding, which limits fast de-excitation during sudden load rejection and causes terminal-voltage overshoots. To address this issue, this paper proposes an advanced fuzzy brushless excitation (FABE) system integrating fuzzy logic control (FLC) with H∞ control to enhance the transient and steady-state performance of synchronous generators. The H∞ controller ensures robustness against disturbances, parameter uncertainties, and nonlinearities, while the FLC improves adaptability and dynamic response. The proposed hybrid approach enables faster de-excitation, reduced voltage peaks, and improved damping of oscillations. Simulation results demonstrate that the FABE system clearly outperforms the conventional excitation method in terms of voltage stability, dynamic response, and overall control performance under various operating conditions.

Background: In modern radiation therapy, accurate dose delivery to tumor sites while sparing surrounding healthy tissue is paramount. A dose bolus, commonly employed to modulate surface dose distribution, ensures effective treatment. Objectives: The present study focuses on the dosimetric validation of 3D-printed dose boluses by comparing their effective performances to the targeted ones when creating the virtual boluses by the clinician on the treatment planning system (TPS). Methods: The research involves the fabrication of 3D-printed boluses using flexible thermoplastic polyurethane filament (TPU) and the assessment of their dose delivery accuracy using “Eclipse” and “Monaco” TPS. By considering 3 treatment cases and clinical locations, namely: Frontal lobe, right breast and inguinal region, the validation process was based on the measurement and comparison of dose profiles across the air/bolus/tissue interfaces, dose coverage: D98%, D95%, D50%, D2% and Dmean, dose Homogeneity Index (HI), and dose Conformity Index (CI). How boluses fit the received surfaces was also checked through CT scanning. Results: The results demonstrate that 3D-printed boluses offer superior conformity to patient-specific anatomy, leading to improved surface dose distribution. Overall, the 3D-printed boluses exhibit optimal dosimetric performances that conform to the targeted ones, with the added benefits of customization and ease of production. Conclusions: This study highlights the potential of 3D printing technology to enhance radiation therapy by providing flexible, patient-specific solutions for the fabrication of dose bolus while maintaining the dosimetric integrity required for an effective and accurate treatment.

This paper presents a preliminary study that aims to integrate Supercapacitor technology with Conventional Bidirectional Ćuk Converter (CBCC) circuit topology, making Supercapacitor one of the main components in its electrical circuit. The purpose of integrating the two technologies is to increase the power conversion efficiency, increasing the stability of power flow against high voltage peaks that may result from very high-power supply sources, increasing power stability against current ripples, and against current shortages when the supply power drops due to exceeding its maximum power point. Therefore, this paper presents a preliminary study to design the Super Bidirectional Ćuk Converter (SBCC), where it is possible to take advantage of the low voltage and high currents that characterize Supercapacitor technology in order to give the Ćuk converter new properties. One of the most interesting of these properties is that the role of the converter becomes a contributor to energy storage and generation, in addition to being more efficient in converting it, and more stable especially with traditional and non-intelligent control laws. During this study, a simple conditional and combinatorial logic-based algorithm was designed to control the additional switches incorporated in the converter topology investigated in this work. The simulation results in the MATLAB environment have shown the capability of SBCC to increase the power transferred to the load when the maximum power point of the supply source is surpassed. The SBCC also has the ability to absorb high voltage peaks and ensure voltage stability when the supply power is significantly higher than the consumption power.

I am not exaggerating when I say that we are currently living in an era where machines intervene and perhaps dominate various aspects of life.Does this not compel us to adhere to the necessity and priority of utilizing and employing artificial intelligence within educational institutions, curricula, and even at the administrative level of educational structures?Are we not in dire need of providing tools and methods that can support education, teachers, and learners alike?Or at least assist in assessing learning and teaching, achieving other educational goals, and facilitating tasks such as supporting educational administration, offering learning opportunities for all, and developing skills necessary for success in life and work?This would benefit various stakeholders, including institutions, students, teachers, administrators, and even parents, making the process of teaching and learning more flexible and transparent for everyone, which is the ultimate goal of education.In this research paper, I strive to present some justifications for this approach by addressing the issue of balancing the benefits expected from the proper or improper use of artificial intelligence in education, as well as outlining the various roles this automated model 1 CC BY 4.0.