The Institut National Polytechnique Félix Houphouët-Boigny (INP-HB) is a public polytechnic institute of higher education, research and production in Yamoussoukro in Côte d'Ivoire.It is named after Félix Houphouët-Boigny, the country's first president..
Antimicrobial resistance is accelerating the search for sustainable alternatives to growth-promoting antibiotics (GPAs) in tropical poultry farming. The objective of this study was to evaluate three indigenous strains of lactic acid bacteria (LABs): Enterococcus faecium JK96, Pediococcus acidilactici JK148, and Lactobacillus pentosus JK151, isolated from the gastrointestinal tract of free-range, native Ivory Coast chickens, as probiotic candidates for commercial broiler production. To this end, in a 42-day completely randomized trial, 480 one-day-old Cobb 500 broiler chicks were divided into six treatment groups: three individual probiotic strains, a combination of several strains (1:1:1), an antibiotic growth promoter (Tylo-dox), and an untreated control group. Each group consisted of two pens of 40 chickens each. Freeze-dried probiotic powders (viable cell count: 1.0 × 10¹⁰ CFU/g) were administered daily in drinking water at a rate of 0.5 g per 10 L. Growth performance, blood biochemical parameters, and intestinal microbiota were assessed in 42-day-old chickens. The results of this study showed that probiotic supplementation significantly improved average daily gain (ADG) and feed conversion ratio (FCR) compared to the control and antibiotic-treated groups. The Lactobacillus pentosus JK151 strain achieved the highest ADG on day 28 (108.27 g/day vs. 83.83 g/day in the control group), maintained an FCR below 2.0 throughout the finishing period, and exhibited no cumulative mortality, compared to 5.0
Contexte : Les aliments pour poulet de chair en Côte d’Ivoire, comme dans d'autres régions du monde, sont préparés en utilisant le maïs comme principale source d'énergie. Cependant, compte tenu des conditions environnementales et des mauvaises conditions de conservation du maïs local, la contamination de cette matière première par les mycotoxines est fréquente et entraîne des effets négatifs sur la santé, ainsi qu’une baisse des performances de croissance des animaux. Objectif : L’objectif de cette étude était d’évaluer l’effet de la supplémentation d’un aliment contaminé par des mycotoxines par une solution anti-biotoxine multi-ingrédients à base de Bacillus subtilis sur les performances et l’état sanitaire des poulets de chair. Méthode : Un aliment positif aux mycotoxines (témoin) ou sa supplémentation avec une solution anti-biotoxine (SIB), associant plusieurs constituants (argiles, extraits de plantes, paroi de levures, bactéries de souche Bacillus subtilis) (témoin + un ajout de SIB à 0,15 %) ont servi à alimenter 600 poussins chair (Arbor acres) d’un jour durant 42 jours à Yamoussoukro (Côte d’Ivoire). Résultats : À 21 jours d’élevage, une réduction significative de 66 % des résidus de citrinine dans le sérum a été enregistré chez les poulets du lot (SIB) (p < 0,05). Par ailleurs, une réduction de 27 % de l’aspartate aminotransférase a été enregistrée chez ces mêmes poulets à 21 jour. Une augmentation de 3 % du poids vif individuel et une réduction des taux résiduels de citrinine et d’acide cyclopiazonique ont également été déterminées chez ces derniers au terme de l’essai (p < 0,05). Conclusions : Les résultats de cet essai indiquent que la supplémentation du régime témoin par la solution SIB à 0,15 % permet d’améliorer la santé et les performances pondérales des poulets de chair soumis à une alimentation contaminée par les mycotoxines.
Artificial intelligence (AI), behavioral analytics, recommender systems, and digital retail technologies are increasingly used to personalize consumer experiences. Yet personalization based primarily on observed behavior may remain insensitive to cultural meaning, local practices, language, symbolic preferences, and context. This study revisits the literature on data-driven intelligent multicultural merchandising and develops an integrative research framework rather than a descriptive inventory of technologies. A PRISMA-guided systematic review was conducted using Scopus. A broad search retrieved 129 records; after restricting the corpus to Articles and Reviews, 60 records were screened by title and abstract. Thirty-four records remained after title/abstract screening; 12 were excluded at a preliminary eligibility check, and 22 reports were advanced to retrieval. Three could not be retrieved and 19 were assessed for eligibility; nine were excluded, leaving ten studies in the confirmed synthesis set. The included studies cover big-data and machine-learning analytics, Transformer-based sentiment analysis, chatbot recommendation, automated retail, cross-border AI promotion, phygital retail environments, cultural-product recommendation, and culturally contingent consumer responses. The evidence is fragmented across these streams. Within the screened corpus, no confirmed study operationalized in one end-to-end framework the joint sequence of behavioral data, multidimensional cultural context, intelligent adaptation, merchandising decisions, observed consumer response, and feedback-driven updating. Building on this gap, the paper proposes CAMI-DM (Culturally Adaptive, AI- and Data-driven Merchandising), an architecture linking behavioral signals, cultural and situational context, adaptive intelligence, customer experience, trust, behavioral response, and commercial performance. A quadratic assignment problem (QAP) is proposed as the spatial optimization layer, with distance constraints that preserve metric consistency. The study concludes with a set of testable hypotheses and an empirical protocol for physical, digital, and phygital retail settings.
Malaria remains a major public health problem in Côte d’Ivoire, where medicinal plants are widely used as traditional treatments. This study aimed to determine the concentrations of toxic trace metals in the most commonly used antimalarial medicinal plants in Côte d’Ivoire and to assess the health risks associated with their chronic consumption. Concentrations of arsenic (As), cadmium (Cd), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), and zinc (Zn) were determined by atomic absorption spectrometry. Non-carcinogenic and carcinogenic risks were assessed using exposure parameters recommended by the United States Environmental Protection Agency. Average concentrations followed the order Zn > Cu > Ni > As > Pb > Cd > Hg. Significant differences between plant species were observed for arsenic (p < 0.05). Hazard Index (HI) values ranged from 0.206 to 0.701 and remained below the critical threshold of 1. In contrast, Cancer Risk (CR) values ranged from 4.66 × 10⁻⁴ to 9.96 × 10⁻⁴, exceeding the recommended thresholds for several species, primarily due to arsenic and nickel. These results indicate that prolonged consumption of certain antimalarial plants could pose a potential health risk to the Ivorian population.
Post-baccalaureate guidance has a lasting impact on learners’ trajectories. To address this challenge, the multinomial logistic regression model developed by previous authors recommends a post-baccalaureate track based on academic grades and transversal competencies, with high accuracy. Despite this performance, the RLM has three structural limitations: socio-contextual blindness, the absence of predictive uncertainty quantification, and temporal rigidity. To overcome them, this article proposes a Contextual Bayesian Model (MBC) that enriches the input vector with five socio-educational determinants (family income, parents’ socio-professional category and educational attainment, geographic area, digital access), treats the parameters as Gaussian random variables conditioned on context, introduces a confidence index based on Shannon entropy, and enables sequential -learning updates. Evaluated under conditions identical to those of the multinomial logistic regression model (RLM), on the same synthetic dataset, the MBC markedly improves accuracy and stability, eliminates cases of high predictive uncertainty, and its superiority is confirmed by a paired t-test. A first empirical validation on 209 candidates admitted to ESATIC, restricted to a binary SM/SP choice, confirms its operation beyond the synthetic setting. To our knowledge, it constitutes the first contextual Bayesian extension of an AI-based post-baccalaureate guidance system in the Ivorian context.
