Implementation of a new Knowledge Management mechanism in Competitive Intelligence using Data Science and recommendation techniques

This paper aims to capitalize on the knowledge codified on deliverables of competitive intelligence using a series of data science techniques. At the beginning, the extraction and structuring of the knowledge resulting from those reports based on a combination of Text Mining techniques applied in Python, in order to create the dataset that will be indexed and analyzed in the next following steps. Then, building a search engine with Elasticsearch that will index the full dataset built. Finally, a recommender system has been added in order to suggest to the user a content close to this query and to recommend him the most popular competitive intelligence report

Optimiser la culture durable grâce à l’irrigation intelligente

This paper presents a comprehensive study of a predictive irrigation system, an innovative approach in smart agriculture focusing on integrated irrigation management through advanced predictive techniques. Employing a blend of Internet of things (IoT) technology, Machine Learning (ML) algorithms, and data analytics, this system marks significant improvements in agricultural irrigation strategies. It is designed to optimize water use, improve crop yields, and promote sustainable farming practices in the face of evolving environmental challenges. The paper outlines the system's architecture, including the deployment of IoT sensors for continuous data collection, the integration of ML models for predictive analysis, and the implementation of adaptive irrigation scheduling algorithms. A detailed examination in a study case of the system's performance reveals substantial improvements in water usage efficiency compared to traditional irrigation methods. Additionally, the paper discusses the challenges and limitations encountered, such as the high initial setup costs, technical complexities, and the necessity for continuous data accuracy. The study concludes by underscoring the Irrigation predictive system's potential in transforming agricultural practices. It highlights its role in enhancing resource management and sustainability in farming, while also pointing out the areas for future research to further refine of system for wider applicability.Ce travail présente une étude complète d'un système de prédiction de l'irrigation, une approche innovante dans l'agriculture intelligente axée sur la gestion intégrée de l'irrigation grâce à des techniques prédictives avancées. En utilisant un mélange de technologies d’Internet des objets, d'algorithmes d'apprentissage automatique et d'analyse de données, ce système apporte des améliorations significatives aux stratégies d'irrigation agricole. Il est conçu pour optimiser l'utilisation de l'eau, améliorer les rendements des cultures et promouvoir des pratiques agricoles durables face aux défis environnementaux en constante évolution. L'article présente l'architecture du système, y compris le déploiement de capteurs IoT pour la collecte continue de données, l'intégration de modèles d'apprentissage automatique pour l'analyse prédictive et la mise en œuvre d'algorithmes adaptatifs de planification de l'irrigation. Un examen détaillé dans une étude de cas de la performance du système révèle des améliorations substantielles de l'efficacité de l'utilisation de l'eau par rapport aux méthodes d'irrigation traditionnelles. De plus, l'article aborde les défis et les limitations rencontrés, tels que les coûts initiaux élevés de la mise en place, les complexités techniques et la nécessité d'une précision continue des données. L'étude conclut en mettant en avant le potentiel du système prédictif d'irrigation pour transformer les pratiques agricoles. Elle souligne son rôle dans l'amélioration de la gestion des ressources et de la durabilité de l'agriculture, tout en indiquant les domaines de recherche future pour affiner le système en vue d'une application plus large

Developing Novel Methods to Identify RNA-Associated Mechanisms for Inheritance

Indiana University-Purdue University Indianapolis (IUPUI)Animals depend on inheriting non-genetic information early in life to grow and develop naturally. This inherited, non-genetic information was previously thought to be limited to DNA modifications and DNA binding proteins. But recent studies have expanded our understanding of inheritance to include RNA and RNA binding proteins. We currently lack methods to identify and enrich for RNA binding proteins that might be involved in providing non-genetic information from mother to daughter cells. Others have developed a method using modified enzyme tags to pulse-label proteins with small molecule fluorescent ligands and follow these proteins as they are inherited by cells. Here I characterized and tested the application of a fluorescent small molecule targeting antibody to enrich for these labeled proteins. I first tested the ability of this antibody to bind to fluorescent ligand-labeled enzymes. I determined that the antibody can efficiently bind to at least one of the labeled enzymes. Second, I determined crystallization conditions for the ligand binding antibody fragment. This thesis sets the stage for structure determination and to test whether this antibody can work in vivo to enrich for RNA binding proteins involved in the delivery of non-genetic information to cells

Analyse comparative de la modélisation prédictive dans des domaines clés : regards et applications

Prediction is widely used for various purposes and in many fields of human activity. The techniques employed for making predictions are a subject of great scientific interest within the research community due to their diversity, level of accuracy, and adaptability to data. The challenge is to determine the factors that affect the choice of an optimal technique suited to each prediction objective. In this article, we conduct a review of models used in the literature to make predictions in different domains to understand the factors influencing the selection of a specific predictive model in relation to their areas of study. A comparative analysis of prediction techniques such as statistical algorithms, Data Mining, and Machine Learning has been performed. It follows that the selection of an adequate prediction technique for the best decision-making should take into account the projection horizon, uncertainty around the prediction, data availability and reliability, and the associated cost of prediction.La prédiction est largement utilisée à différentes fins et dans de nombreux domaines de l'activité humaine. Les techniques utilisées pour faire des prédictions sont un sujet de grand intérêt scientifique pour la communauté de recherche, compte tenu de leur diversité, de leur degré de précision et de leur adaptabilité autour des données. Le défi est de déterminer les facteurs qui affectent le choix d'une technique optimale adaptée à chaque objectif de prédiction. Dans cet article, nous réalisons un examen des modèles utilisés dans les travaux littéraires pour effectuer des prédictions dans différents domaines, afin de comprendre les facteurs influençant la sélection d'un modèle prédictif particulier en relation avec leurs domaines d'étude. Une analyse comparative des techniques de prédiction telles que les algorithmes statistiques, la fouille de données et l’apprentissage automatique a été réalisée. Il en résulte que la sélection d'une technique de prédiction adéquate à la meilleure prise de décision, doit considérer : l'horizon de projection, l'incertitude autour de la prédiction, la disponibilité et la fiabilité des données et le coût associé à la prédiction

L’éducation environnementale à l’Université Sultan Moulay Slimane (Maroc)

Le présent travail analyse la situation de l’éducation environnementale dans une université marocaine. Ainsi, au travers d’une enquête, des questionnaires sont administrés aux étudiants et enseignants de l’université Sultan Moulay Slimane, située à Béni Mellal, champ d’investigation. L’étude présente les résultats du terrain. Elle indique l’insatisfaction des deux partenaires d’enseignement quant à la durée consacrée à l’enseignement des matières relatives à l’environnement, tous les niveaux confondus. En outre, l’analyse des questionnaires des étudiants dévoile que 63%, parmi eux, qualifient ces cours par moyennement difficiles. D’un autre coté, seulement 52% des étudiants jugent l’efficacité des programmes d’étude relatifs à l’environnement, et la sensibilisation qui les accompagne éventuellement, en tant qu’outils d’éducation environnementale sont satisfaisants. Cependant, la mise en place d’une véritable éducation relative à l'environnement en milieu universitaire est confrontée à de nombreux obstacles dont les plus mentionnés par les répondants sont les problèmes socioéconomiques et l’insuffisance de matériel et de moyens humains et. Ceci montre ainsi l’existence d’un grand décalage entre l’institutionnalisation et l’opérationnalisation de la culture environnementale dans l’établissement universitaire marocain. De ce fait, cette situation doit être améliorée grâce à la coopération entre les différents composants intervenant dans le système éducatif tels que le gouvernement, le ministère d’enseignement marocain, et le corps administratif des universités. De plus, l’université doit s’ouvrir sur son entourage en cherchant des partenaires actifs dans le sens de la protection et la préservation de l’environnement telles que des associations, des sociétés, et des communautés régionales permettant de consolider davantage l’éducation environnementale chez les étudiants. Par ailleurs, l’investigation s’est penchée également pour savoir les opinions des enquêtés concernant des efforts déployés par le Maroc dont la campagne zéro plastique comme outil d’éducation environnementale. Par conséquent, 46% des étudiants et 78% des professeurs trouvent que c’est une bonne initiative pour protéger l’environnement. The present work analyzes the situation of environmental education in a Moroccan university. Thus, through a survey, questionnaires are administered to students and teachers of Sultan Moulay Slimane University, located in Beni Mellal, field of investigation. The study presents the results of the field. It indicates the dissatisfaction of the two teaching partners as regards the time devoted to the teaching of environmental subjects at all levels. In addition, the analysis of student questionnaires reveals that 63% of them describe these courses as moderately difficult. On the other hand, only 52% of students judge the effectiveness of environmental study programs, and the awareness that eventually accompanies them, as environmental education tools are satisfactory. However, the setting up of a real environmental education in the university environment is confronted to several obstacles of which the most mentioned by the respondents are the socio-economic problems and the insufficiency of human and material means. This shows the existence of a big gap between the institutionalization and the operationalization of the environmental culture in the Moroccan university. As a result, this situation needs to be improved thanks to the cooperation between the different participants involved in the education system. In addition, the university must open up to its surroundings by seeking active partners in the protection of the environment. Otherwise, the investigation also looked into the opinions of respondents about Morocco's efforts, including the zero plastic campaign as an environmental education tool. Consecutively, 46% of students and 78% of teachers find it a good initiative to protect the environment

On Spatial Data in Measuring Urban Livability, An analytical review

Spatial data enables researchers to assess various factors of urban livability. Regarding the development of remote sensing technics and advances in Geographical Information Systems (GIS), large collections of valuable spatial datasets become available for livability researchers. This paper aims to identify relevant spatial data sources in use in livability studies by means of an analytical review on spatial data in livability empirical studies. The paper identified four main categories of spatial data sources including earth observation images collections, mapping services, national geospatial datasets, and private companies’ datasets. The study demarcates that mixed types of raster and vector images sources are more used in livability studies than other single type sources. Also, the paper highlights the fact that spatial data sources cover mainly indicators of urban planning, land use, land cover and natural environment factors. The study concludes that spatial data sources represent a valuable source of data for livability studies, especially aggregated spatial data sources that provide more ready to use data

NUMERCAL STUDY OF A FOUR COMPONENTS SYSTEM

We have investigated numerically a statistical model of four component systems, which exhibit two critical temperatures, called the Ashkin-Teller model (ATM). The effects of, the anisotropy coupling, the single ion potential field and the mixed spin on the structure of the phase diagram have been studied. The model presents a rich variety of phase transitions which meet on tricritical or multicritical points. Different partially ordered phases with a partially broken symmetry appears at high temperatures. Their region of stability and their structure depend on the phase parameter space. The nature of critical lines which bound these partially ordered phases depends on the coupling parameters and the crystalline anisotropy".We have investigated numerically a statistical model of four component systems, which exhibit two critical temperatures, called the Ashkin-Teller model (ATM). The effects of, the anisotropy coupling, the single ion potential field and the mixed spin on the structure of the phase diagram have been studied. The model presents a rich variety of phase transitions which meet on tricritical or multicritical points. Different partially ordered phases with a partially broken symmetry appears at high temperatures. Their region of stability and their structure depend on the phase parameter space. The nature of critical lines which bound these partially ordered phases depends on the coupling parameters and the crystalline anisotropy

ON 1D FRACTIONAL SUPERSYMMETRIC THEORY

Following our previous work on fractional supersymmetry (FSUSY) [1,2], we focus here our contribute to the study of the superspace formulation in  that is invariant under FSUSY where  and defined by , we extend our formulation in the end of our paper to arbitrary  with  . Key-words Fractional superspace - Fractional Supersymmetry of order F - Fractional Supercharge - Covariant Derivativ