Dans le domaine de la psychotraumatologie, les troubles post-traumatiques ont fait l’objet de nombreuses recherches à travers le monde. Dans certains cas, la symptomatologie post-traumatique s’installe et perdure entraînant l’apparition d’un1 Trouble de Stress Post- Traumatique (TSPT). Le TSPT est un trouble très fréquent au sein des populations des personnes déplacées internes suite aux actes de guerres, de conflits, de terrorisme ou de génocides sans pour autant qu’on puisse y trouver la relation systématique entre les expériences d’effraction du psychisme et son impact sur la santé psychique de l’homme. Dans cette étude, nous avons utilisé le Check-list for DSM 5 (PCL-5) et des entrevues cliniques pour obtenir une évaluation systématique des symptômes du TSPT et une identification des stratégies de régulation émotionnelle identifiées comme des modificateurs d’effet entre certains évén...

La psychanalyse appliquée à la littérature s’étend aussi à la littérature orale : contes, légendes, mythes… Beaucoup d’auteurs ont analysé les textes oraux et écrits européens d’un point de vue psychanalytique. L’essai de Freud sur « Le roman familial du névrosé » constituait, on le sait, une préface écrite pour le texte d’Otto Rank sur Le mythe de la naissance du héros où ce dernier analyse diverses légendes européennes. Pour ce qui concerne le contexte spécifiquement africain, le constat est que de telles études sont rares, voire inexistantes. Cet article est une lecture psychanalytique de quelques contes africains.

Sexual corruption occurs when public officials abuse their power to obtain sex or sexual favours. It is a hugely damaging yet underreported and understudied form of corruption that predominantly affects women and vulnerable people. This paper studies the impacts of sexual corruption on female entrepreneurs. It expands the literature on sexual corruption by examining how female entrepreneurs who participated in focus group discussions in Burkina Faso view sexual corruption and its impacts, and how they protect themselves. With the utilisation of an inductive approach, specifically, thematic analysis, we show that sexual corruption is a real and significant threat that female entrepreneurs face. Our findings point to the considerable risks that sexual corruption poses to female entrepreneurs. Predatory male civil servants make sexual demands when women are most desperate and at risk of fin...

The Kampti-Loropeni greenstone belt (KLB) in south-west Burkina Faso forms part of the paleoproterozoic Baoulé-Mossi domain of the West African Craton. Its lithostratigraphic chronology and magmatic sources remain insufficiently constrained. This study integrates field observations, petrography, whole-rock and trace element geochemistry, whole-rock Sm-Nd isotopes and zircon U-Pb geochronology to refine the timing and petrogenesis of the KLB suite. The KLB records a bimodal magmatic succession that comprises tholeiitic basaltic rocks in the lower sequence and subordinate cal-alkaline andesite rocks together with tonalitic to potassic granitoids. The tholeiitic rocks display broadly flat REE patterns comparable to N-MORB like island arc composition, with slight negative εNd values at 2.2 Ga (−1.2 to −0.22) indicating a primary magma source from or in interaction with an older reworked cr...

The heterogeneity and resource constraints of IoT networks make intrusion detection complex. High dimensionality, significant class imbalance, and a lack of model interpretability challenge the deployment of effective IDS models. This paper proposes a hybrid feature selection framework driven by a supervised meta-learner that aggregates six complementary selectors: symmetric uncertainty, Pearson correlation, ReliefF, Boruta, RFE with XGBoost, and mRMR. We evaluate our approach on three public IoT datasets (RT-IoT2022, IoT-23, and CICIoT2023) with diverse characteristics, comparing three meta-learners (Random Forest, LightGBM, and Logistic Regression). The framework achieves significant dimensionality reduction: on RT-IoT2022, Random Forest reduces features from 89 to 24 (73.0%) while maintaining a Macro F1 of 0.9908, surpassing the full feature set (0.9899). On IoT-23, features are reduc...

Purpose This study analyzes the effect of participation in non-farm activities (NFAs) on the food security of farming households in rural areas. These households face major challenges in increasing agricultural production and income, leading to a deterioration in their food security. Design/methodology/approach The endogenous switching model is used to analyze the impact of NFAs participation on the multidimensional food security index, based on data from the 2017 rural household living conditions survey in Burkina Faso. Findings Statistical analysis shows that approximately 48.39% of households participate in NFAs, with 86.7% self-employed. The food security index was higher for participants (0.38) than for non-participants (−0.35). In addition, 40% of participating households were food secure, compared with 28% among non-participants. Endogenous switching regression results indicate th...

The Banfora volcano-sedimentary belt is located in western Burkina Faso within the Léo-Man Shield of the West African Craton. It is characterized by lithological and structural diversity. Petrographic studies have identified, (i) volcanic rocks (andesites, basalts and volcanoclastites), (ii) metasedimentary rocks (argillites, siltstones, shales), (iii) felsic rocks (rhyolites, rhyodacites, dacites), (iv) basic and ultrabasic rocks (gabbro, pyroxenites) and (v) intrusive granitic rocks (granites, monzodiorites, granodiorites, quartz monzonites). The structural analysis obtained from the interpretation of the geophysical data coupled with those of the field indicates a polyphase deformation regime associated with a regional shortening of E-W to ENE-WSW orientation. This structural context has made it possible to identify and confirm the existence of three major phases of deformation (D1,...

The automatic detection of mango varieties using YOLOv11 was explored in order to evaluate the performance of this deep learning model in an agricultural context in Burkina Faso. The study focused on four representative varieties: Brooks(Retard), Mangot vert, Amélie, and Kent. Average Precision (AP) was chosen as the main metric, since it combines both precision and recall, providing a comprehensive evaluation of the model’s detection and classification ability. The results reveal a high AP for Brooks(Retard) (73.6%) and Mangot vert (71.13%), indicating effective differentiation of these varieties, which display distinctive visual characteristics. In contrast, distinguishing between Amélie (70.9%) and Kent (64.4%) remains more challenging due to their strong morphological and chromatic similarity, which leads to greater confusion during classification. Overall evaluation indicates a mA...

Predicting scholarship eligibility is a key issue for higher education establishments wishing to ensure the fair and efficient allocation of grants. This prediction relies on the exploitation of academic and social data integrated into Decision Support Systems (DSS).