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Nifedipine dissolution rate improvement using supercritical carbon dioxide RESS and SAS process
No full textInternational audienc
Couplage de procédés assistés par CO2 supercritique pour le développement de solides auto-émulsionnables (S-SEDDS)
No full textNational audienc
Development of Non-Traditional Hot-Melt Coating of Particles: Manufacturability, Stability and Impact on Biopharmaceutical Properties
No full textInternational audienc
Solubilité de la nifédipine dans du CO2 supercritique : mesure et modélisation
No full textNational audienc
Automated Learning Approach for Genetic Diseases
No full textInternational audienceFinding the exact gene mutations that cause a genetic disease has been a challenging task. Despite the development in information technology, the task of extracting gene-disease associations has been mainly a manual process. This is a time-consuming process, in which experts extract gene-disease associations from relevant research papers from the literature manually. The main aim of this paper is to develop an automated approach for extracting and classifying gene-disease associations from relevant literature research papers using both natural language processing and machine learning techniques. This paper extracted data from free-text literature research papers and built four different dataset formats to discover an optimal representation. Machine and Deep learning models (NB, KNN, SVM, NN, CNN, and LSTM) with TF-IDF were applied on the built datasets. As a result, the format of the dataset with (Positive and Negative) instances only, was found to be the best representation for extracting gene-disease associations with optimal accuracy between 74% and 91%. For the four dataset representations, Multilayer Neural Networks was able to predict all classes in most experiments with accuracy between 64% and 91%. From the initial results, this work highlights the need for additional work to improve both the performance of these models and the data extraction method to build more accurate and optimal dataset representation
Improvement method for measuring kinematic field by digital image correlation for 2D tensile test at high temperature
No full textInternational audienc
Gazéification de la cellulose pour la production d’un syngas riche en hydrogène : une approche bioraffinerie
No full textThis work deals with steam gasification of cellulose for hydrogen-rich syngas production in the context of integrated biorefinery. Wheat straw and softwood sawdust were selected and fractionated using an organosolv pretreatment using formic acid at moderate operating conditions at lab and pilot scales. Drastic differences were displayed in the mineral composition of raw biomass and cellulose due to the acid medium extraction. Silicon was the main inherent inorganic element present in cellulose. Steam gasification was studied at experimental level with thermogravimetric analysis. The reactivity of cellulose char was lower than that of biomass char, owing to the difference in the inorganic content, in particular alkali and alkaline-earth metals (AAEM) and Si. The gasification behavior of cellulose char was predominantly governed by Si concentration. A new modeling approach based on Si concentration was proposed to predict gasification behavior of lignocellulosic biomass and cellulose chars. At lab scale, steam gasification experiments of biochar were carried out in a fixed-bed reactor under different experimental conditions. Increasing steam to carbon ratio boosted carbon conversion yielding to an enhancement in gas yield. Adding steam can improve H2 yield and concentration through water gas and water gas shift reactions. However, excessive steam addition was harmful for gasification process. Higher temperature was beneficial for H2 production. Nevertheless, H2 fraction decreased at higher temperature due to the reverse water gas shift reaction. Compared with biomass and commercial cellulose chars, carbon conversion and H2 yield of extracted cellulose char were lower at 750 and 850 °C due to high content of Si which exhibited severely hampered on carbon-gas reactions. At 950 °C, free-nitrogen gas containing more than 55% of H2 and more than 30% of CO was produced from organosolv cellulose. The results demonstrated that alkali compounds in particular K can be captured by silica in the solid preventing its loading in the producer gas. Finally, the integration of organosolv pretreatment and pyrogasification was simulated to validate the overall process and provides an appropriate opportunity for understanding and constructing the optimum design for large scale establishment.Ce travail porte sur la gazéification à la vapeur de la cellulose pour la production de gaz de synthèse riche en hydrogène dans le contexte du développement de bioraffinerie. La paille de blé et de la sciure de bois résineux ont été sélectionnées et fractionnées sous un procédé organosolv utilisant de l'acide formique sous des conditions opératoires modérées à l'échelle laboratoire et pilote. Des différences ont été observées dans la composition minérale de la biomasse et de la cellulose en raison de l'extraction en milieu acide. Si était le principal élément inorganique inhérent présent dans la cellulose. La cinétique de la gazéification à la vapeur d'eau a été étudiée par analyse thermogravimétrique. La réactivité du char de cellulose était plus faible que celle du char de la biomasse, en raison de leur composition inorganique, en particulier les métaux alcalins et alcalino-terreux et du Si. Le comportement de gazéification du char de cellulose était principalement régi par la teneur en Si. Par la suite, une nouvelle approche de modélisation basée sur la concentration en Si a été proposée pour prédire la cinétique de gazéification de la biomasse et de la cellulose. La gazéification à la vapeur du biochar a été aussi étudiée dans un réacteur à lit fixe à l'échelle laboratoire. L'augmentation du ratio vapeur/carbone a permis d'augmenter la conversion du carbone et d'améliorer le rendement en gaz. L'ajout de vapeur peut améliorer le rendement et la concentration de H2 par les réactions gazéification à la vapeur d'eau et de gaz à l'eau. L'augmentation de la température a été bénéfique pour la production de H2. Cependant, la concentration de H2 dans le gaz de synthèse diminue à une température plus élevée en raison de la réaction du gaz à l'eau inverse. Par rapport aux chars de la biomasse et de la cellulose commerciale, la conversion du carbone et le rendement en H2 des chars de cellulose extraite étaient plus faibles à 750 et 850 °C en raison de la teneur élevée en Si qui a fortement entravé les réactions carbone-gaz. A 950 °C, un gaz sans azote contenant plus de 55% de H2 et plus de 30% de CO a été produit à partir de la cellulose organosolv. Les résultats ont démontré que les composés alcalins, en particulier K, peuvent être capturés par la silice dans le solide, ce qui empêche leur chargement dans le gaz de production. Enfin, les procédés organosolv et de pyrogazéification ont été simulés afin de proposer une intégration énergétique du système global pour une implantation à grande échelle
A Business Continuity Robustness Assessment Approach Through Disruption’s Sociological Indicators
No full textInternational audienceDuring the last years, International Organizations for Standardization have been developing many quality management tools which are being implemented by several types of organizations. These tools are especially being implemented to manage disasters and reduce activity disruptions’ consequences. However, monitoring the performance of the organizational norm requires developing metrics and assessment tools that can be used easily and on a daily basis to make organizations more resilient to crisis situations. The management tool that this research work considers is the “Business Continuity Plan” known as BCP. One way to assess this type of plan is to define, design then test quantifying and qualifying keys to measure its robustness
Selective Laser Sintering (SLS) of various lunar soil simulants for Moon base manufacturing: experimental results and numerical modelling
No full textInternational audienc
A physics-based approach to evaluate crisis impacts on project management
No full textInternational audienceProject management has become a standard in business. Unfortunately, the projects as well as companies are increasingly subject to major disruptions. In this context, it is of prime importance to have the ability to manage the risks inherent to these projects to best achieve their objectives. The existing approaches of crisis management in the literature no longer seem to be adapted to this new normality. The future of research lies in a more systematic crisis assessment and a better conceptualization of the uncertainty associated with risks. It is necessary to rely on the collection of heterogeneous data in order to maximize the understanding of the project environment and to find a way that best describes and visualizes the influence of crises on the project management processes. This article uses the POD approach and applies it in the context of project management to address these issues