Accurate geolocation for low-power wide-area (LPWAN) devices is desirable when GNSS is unavailable or too energy-expensive, yet RSSI-/TDoA-based approaches are often fragile under channel variability, collisions and cross-device heterogeneity. We address this gap with a reproducible, tabular pipeline that maps LoRa RSSI/SNR/ToA and PHY metadata to 2D positions, compares strong tabular baselines (k-NN, Random Forest, LightGBM, XGBoost), and crucially evaluates them under group-aware (device-wise) splits to avoid identity leakage. On an ns-3-generated LoRa dataset of about 3.3 × 104 labeled receptions, Random Forest attains the tightest distribution with p50 ≈ 0 m and p95 < 1 m, whereas k-NN, despite a low median, exhibits a much heavier tail (p95 ≈ 187 m), underscoring the need to report both central and tail metrics. These results indicate that simple, edge-feasible models can perform gateway-side inference with robust accuracy when fed cleaned features and evaluated with realistic splits, making the approach attractive for practical LPWAN/IoT deployments.
This work focused on analyzing the technical, environmental, and economic performance of a diesel power plant supplying a cement manufacturing plant located in Bobo-Dioulasso, Burkina Faso, from 2023 to the first half of 2025. The objective was to evaluate the energy efficiency, environmental impact, and profitability of electricity production in a context of high dependence on fossil fuels. The methodology is based on the collection of operational data (power output, energy generated, diesel and lubricant consumption, operating time), the analysis of historical technical data, and the calculation of key indicators such as specific consumption (L/kWh), the CO₂ emission factor (kgCO₂/kWh), and the specific production cost (FCFA/kWh). The results show a specific consumption generally between 0.20 and 0.35 L/kWh, with a notable deterioration in 2024 marked by peaks exceeding 0.5 L/kWh, reflecting partial load operation and maintenance constraints. CO₂ emissions vary according to the production level, but the emission factors reveal occasional malfunctions, particularly in September and November 2024, when they exceeded 1.4 kgCO₂/kWh, indicating a significant decrease in energy efficiency. Economically, the average specific production cost amounts to 343.70 FCFA/kWh in 2023, 377.48 FCFA/kWh in 2024, and 358.64 FCFA/kWh in the first half of 2025, values significantly higher than the cost of electricity from the national grid (approximately 160 FCFA/kWh). The study highlights an inverse relationship between the load factor and the unit cost of production, emphasizing that the overall performance of the power plant depends heavily on the quality of its operation, maintenance, and the alignment between installed capacity and actual demand. It concludes that optimizing control, strengthening energy monitoring, and the gradual integration of a hybrid solar-diesel solution are essential levers for improving energy efficiency, reducing emissions, and enhancing the economic viability of the system.
Background: Bees and honey are garnering attention as potential sources for isolating beneficial microorganisms. However, the diversity of antibacterial peptides from microorganisms in honey produced in Burkina Faso remains poorly documented. This study aims to explore the diversity of genes detected in Bacillus sp. isolated from honey in Burkina Faso. Results: Here 11 honey samples were used as a matrix to isolate Bacillusspp. bacteria. A total of 40 presumptive Bacillus spp. isolates, preliminarily characterized for Gram staining, catalase tests, and survival under thermal stress, were selected. The RT-PCR with universal 16S primers revealed that all 40 isolates belonged to the genus Bacillus and the presence of genes involved in iturine A, flagellin, TasA, surfactin, subtilin, and mersacidin synthesis. Among the isolates, 65% carry the Bacillus cereusgene. The rest consists (about 40%) of beneficial strains possessing at least one out of six genes and five strains exhibited at least three genes simultaneously. Associations of more than three genes have detected in Bacillus sp. strains, however they are almost absent in Bacillus cereus. Conclusion: Honey can be considered a natural source of beneficial bacteria belonging to Bacillus genus with a broad spectrum of antimicrobial activities useful for plant bioprotection applications.
Most land use problems, such as the choice of varieties of a given crop for a region, are solved by considering a single decision maker. In the case where there are several decision-makers, it is often assumed that a consensus has been reached among them so that they all act as one decision-maker. To compensate for this single decision-maker view, literature propose several multi-criteria methods for group decision making. However, most of them suffer from certain limitations. A first limitation may be the large number of parameters to be determined during the execution of the decision process, which may be inherent to the method used itself. The difficulty of aggregating the preferences of each stakeholder, who are now all considered to be decision-makers, in order to arrive at a decision that can be accepted by all of them, constitutes a second limitation. In this work, we contribute to remedy these two limitations by proposing an extension of the existing KEMIRA multi-criteria choice method, namely KEMIRA-group, for group decision making. We illustrate the effectiveness of our approach through a case study of the selection of the best cowpea varieties (crop) appropriate to a given region in West Africa (Burkina Faso).
The objective of the study was to produce an infantile flour of supplement with local ingredients available in the city of Bongor for children from 6 to 24 months old. The flours formulated are named SHAB (70% sorghum+13% bean+16% peanut+1% baobab), SHAM (70% sorghum+13% bean+16% peanut+1%Moringa Oleifera) and SHAP (63% sorghum+20% bean+16% peanut+1% potato). The microbiological analyzes were carried out according to the standard methods which were supplemented by a sensory evaluation were carried out. The flours made are called SHAB (sorghum + bean + peanut + baobab), SHAM (sorghum + bean + peanut + Moringa oleifera) and SHAP (sorgho + bean + peanut + potato). The study of the hygienic quality of flours have sometimes exceeded microbiological standards. The presence of microorganisms at 30°C and enterobacteria at 37°C in SHAB and SHAP flours and the presence of microorganisms at 30°C, enterobacteria at 37°C, Escherichia coli and Staphylococci in SHAM flour. These results show that it takes an improvement in hygienic practices. Overall, 45% of mothers prefer porridge based on SHAB flour on the organoleptic level such as taste, smell and appearance. All these results show that these porridge could be made available to local populations.
