This paper introduces a novel reference model for intelligent longitudinal vehicle control, designed to enhance both safety and passenger comfort. The proposed model dynamically adjusts the follower vehicle’s acceleration based on its penetration distance relative to the lead vehicle, ensuring smooth speed transitions and adaptive deceleration. By preventing abrupt braking, the model maintains a safe inter-vehicle distance while reducing passenger discomfort. Key contributions include an analytical derivation of the follower vehicle’s dynamics and a novel formulation of the safety distance using the Lambert W function, enabling precise parameter optimization. A dedicated optimization framework ensures compliance with safety constraints while minimizing excessive acceleration and jerk. The model’s performance is validated through numerical simulations in various driving scenarios, includi...

Mosaic landscapes integrating protected areas and agroecosystems with variable exploitation intensities constitute critical ecosystems for biodiversity conservation and ecosystem service provision. This study evaluated how anthropogenic pressure gradients influence plant community structure, diversity, and carbon sequestration in the Sudano-Sahelian zone of Burkina Faso. Using a stratified sampling design across four anthropization levels: (i) savannah woodland = level 1, (ii) forest-edge fields = level 2, (iii) bush fields = level 3, and (iv) homestead fields = level 4, we analyzed 80 forest plots distributed along transects from inhabited areas toward the Sissili classified forest. Within each plot, floristic composition, dendrometric parameters, and aboveground carbon stocks were measured. The results revealed a significant decline in woody species richness from savannah woodland (21 ...

This study aims to analyze the effect of water mass flow rate on a Si-solar cell temperature and electronic parameters through two models. From the thermal model, the thermal equation is determined and solved to obtain the cell temperature versus light concentration and for different mass flow rates. By the electrical model, the electronic parameters were determined and plotted also versus light concentration and water mass flow rate. Results show that temperature rises with light concentration and decreases with increasing mass flow rate. Mobility and diffusion coefficients of electrons and holes as well as the silicon gap energy, decrease with light concentration but all increase with rising mass flow rate. The electrons intrinsic density increases with concentration and fall down with mass flow rise. Near the...

The rise of antibiotic-resistant bacterial infections has intensified the search for plant-derived quorum-sensing (QS) inhibitors as alternative therapeutic strategies. Ageratum conyzoides L. has a long history of traditional use as an antimicrobial agent against multidrug-resistant pathogens, yet the phytochemical basis of its QS-inhibitory activity remains incompletely characterized. This study aimed to investigate the phytochemical composition of A. conyzoides and evaluate its potential as a QS inhibitor and antioxidant. Bioassay-guided fractionation of the methanol extract was conducted using flash chromatography on a C18 column. High-performance thin-layer chromatography (HPTLC) was used to establish the phytochemical profile of active subfractions. Antioxidant activity was assessed using the DPPH radical scavenging, ferric reducing antioxidant power (FRAP), and ABTS Trolox equivale...

Le roman burkinabè pose littéralement l’épineuse question de la recherche des voies et moyens en vue d’un réel progrès sur le continent africain en général et pour le Burkina Faso en particulier. Pour ce faire il ressort de la conscience des œuvres qui s’ouvrent à notre analyse que la dominée société textuelle romanesque est marquée par de nombreuses contre valeurs socioculturelles. Ces contre-valeurs censées être combattues par un système viable ne le sont pas car la volonté de certains actants à promouvoir les valeurs sociales et culturelles constructives se heurte malheureusement à un désordre systémique qui nourrit et entretient les contre valeurs socioculturelles. Nous nous intéressons ici à la vision du monde des auteurs dans leurs romans, de relever les défis auxquels sont confrontés les États par le biais du structuralisme et de la narratologie.

La province du Gulmu est l’une des localités ayant bénéficié raisonnablement d’investigations scientifiques sur la question de la production ancienne du fer (J.B. Kiethéga, 2009 ; F.E. Thiombiano/Ilboudo, 1991, 2010 ; O. Yougbaré, 1992 ; H. Lankoandé, 2015, 2018, 2023). Les résultats des travaux montrent un potentiel archéométallurgique conséquent. De même, l’analyse des vestiges révèle, au stade actuel des recherches, deux catégories de fourneaux selon le mode opératoire, soutenues par une variabilité de traditions techniques. Les datations radiocarbones réalisées sur les fourneaux de la région mettent en évidence des séquences chronologiques qui s’étalent du VIe au début du XXe siècle de notre ère, permettant non seulement d’apprécier l’évolution temporelle de cette activité ancestrale mais aussi d’analyser la dynamique du peuplement de la région étudiée. Pour l’...

Detecting tuberculosis on X-rays remains complex and challenging for clinicians. In Burkina Faso, the scarcity of radiologists and their heavy workload increase the risk of misinterpretation, particularly in areas with high demand. To address this constraint, we have designed a comprehensive solution based on artificial intelligence, ranging from data analysis to the training of advanced deep learning models, enabling the automatic identification of tuberculosis abnormalities from chest X-rays. In this article, we present our three-step approach for tuberculosis detection, directly inspired by the clinical reasoning of the radiologist. First, we classify the images into those that are normal and those that are not. Next, we segment the images to keep only the pulmonary area. Finally, in this area, we perform a detection of tuberculosis-related anomalies.

This paper addresses the persistent disparities in maternal and child health in developing countries, particularly in rural Burkina Faso, where linguistic and infrastructural barriers hinder access to preventive healthcare information. The study aims to design and implement an automated voice awareness system in local languages to enhance maternal health literacy. Using a mixed technological approach combining Progressive Web Applications, Interactive Voice Response, and Short Message System notifications, the system delivers personalized health messages accessible even under low-connectivity conditions. A pilot deployment at Banfora integrates community health workers to ensure local adoption. Preliminary literature review results show a 25–45% increase in prenatal consultations and vaccination adherence. The proposed framework aligns technology with health equity, contributing to Susta...

Shrimp is a crustacean found in marine and freshwater environments and is widely distributed throughout the world due to its nutritional and socioeconomic values. However, its chemical composition, rich in proteins and lipids, and its water content, make it an easily perishable food commodity and particularly susceptible to microbiological and physicochemical alterations. As part of the study, ten samples of fried shrimps were collected from different sales sites in Loumbila. Physicochemical characteristics and microbiological quality were assessed using standard analytical methods. TMAF loadings ranged from 0.29±0.12x106 CFU/g to 1.83±1.29x106 CFU/g. Dry matter and water content ranged from 87.23±1.25 % to 95.92±0.67 % and 4.08±0.67 % to 12.77±1.25 %, respectively. Also, acidity and pH ranged from 0.04 % to 0.12±0.01 % and 8.48±0.06 and 8.99±0.11, respectively. As for the loads of therm...

Burkina Faso's agriculture sector faces major challenges, with annual crop losses reaching 40% due to plant diseases, affecting 2.7 million people in a situation of food insecurity. This research presents an innovative automatic plant disease detection system using computer vision, specifically developed for West African constraints. The system is based on the YOLOv11 (You Only Look Once) unified detection architecture, recognised for its optimal balance between speed and accuracy in real time, essential for mobile deployment to detect diseases in maize, tomatoes and chillies with an overall accuracy of ~99%. The image dataset from Kaggle has been validated by local agronomic expertise from INERA, ensuring the relevance of disease classes specific to the Sahelian context. The proposed architecture demonstrates superior performance to existing approaches while being optimised for mobile d...