Impact de l'extraction tissulaire sur les paramètres pharmacocinétiques et pharmacodynamiques du rémifentanil chez les chiens anesthésiés

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

Impact de l'extraction tissulaire sur les paramètres pharmacocinétiques et pharmacodynamiques du rémifentanil chez les chiens anesthésiés

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

Le cordon ombilical humain, source de cellules pour le génie tissulaire : Isolement, caractérisation et production de substituts humains

Le cordon ombilical humain suscite beaucoup d’intérêt comme source de cellules à des fins de recherche et de thérapie. Quatre types cellulaires majeurs - les cellules épithéliales, stromales, musculaires lisses et endothéliales - composent les tissus solides du cordon ombilical. Quelques-uns de ces types cellulaires ont été utilisés en recherche scientifique depuis longtemps, alors que d’autres commencent à peine à dévoiler leur potentiel. Nous avons développé un protocole unique pour l’extraction séquentielle de tous ces types cellulaires d’un seul cordon ombilical, permettant ainsi la reconstruction à partir d’une même source. La combinaison des techniques de perfusion, immersion et explants a mené à la mise en culture et à l’expansion de ces cellules, dont les cellules épithéliales et les cellules stromales de la gelée de Wharton qui ont été caractérisées plus en détail par l’immunomarquage de protéines spécifiques. Leur potentiel pour la médecine régénératrice a été démontré par la production de tissus par génie tissulaire. Un vaisseau sanguin composé de cellules stromales et de cellules musculaires lisses du cordon ombilical démontra une résistance substantielle à l’éclatement. Les capacités de différenciation des cellules épithéliales ont été étudiées dans le contexte d’une peau bilamellaire reconstruite en combinaison avec des kératinocytes, des fibroblastes dermiques, et des cellules stromales de la gelée de Wharton. Les cellules épithéliales ont montré une différenciation similaire à celle des kératinocytes lorsque cultivées sur des fibroblastes dermiques et exposées à l’air, tandis que sur des cellules stromales du cordon, elles ont subi une désorganisation. Finalement, la différenciation des cellules stromales a été induite en culture vers plusieurs types cellulaires afin de compléter cette étude. L’ensemble des résultats fait ressortir l’importance non seulement de l’influence du milieu physique sur la croissance et la différenciation des cellules, mais également de l’impact de la provenance des cellules sur la qualité des tissus reconstruits.

Automating the extraction of quantities

The Automated Estimator and LCADesign are two early examples of nD modelling software which both rely on the extraction of quantities from CAD models to support their further processing. The issues of building information modelling (BIM), quantity takeoff for different purposes and automating quantity takeoff are discussed by comparing the aims and use of the two programs. The technical features of the two programs are also described. The technical issues around the use of 3D models is described together with implementation issues and comments about the implementation of the IFC specifications. Some user issues that emerged through the development process are described, with a summary of the generic research tasks which are necessary to fully support the use of BIM and nD modelling.

Toward a fuzzy domain ontology extraction method for adaptive e-learning

With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm. The proposed mechanism can automatically construct concept maps based on the messages posted to online discussion forums. By browsing the concept maps, instructors can quickly identify the progress of their students and adjust the pedagogical sequence on the fly. Our initial experimental results reveal that the accuracy and the quality of the automatically generated concept maps are promising. Our research work opens the door to the development and application of intelligent software tools to enhance e-Learning.

Dense Correspondence Extraction in Difficult Uncalibrated Scenarios

The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the camera geometry. In camera networks with sparsely placed cameras, low resolution cameras or in scenes with few distinguishable features it may be difficult to find a sufficient number of reliable correspondences from which to compute geometry. This paper presents a method for extracting a larger number of correspondences from an initial set of putative correspondences without any knowledge of the scene or camera geometry. The method may be used to increase the number of correspondences and make geometry computations possible in cases where existing methods have produced insufficient correspondences.

Towards an automatic road lane marks extraction based on ISODATA segmentation and shadow detection from large-scale aerial images

The automatic extraction of road features from remote sensed images has been a topic of great interest within the photogrammetric and remote sensing communities for over 3 decades. Although various techniques have been reported in the literature, it is still challenging to efficiently extract the road details with the increasing of image resolution as well as the requirement for accurate and up-to-date road data. In this paper, we will focus on the automatic detection of road lane markings, which are crucial for many applications, including lane level navigation and lane departure warning. The approach consists of four steps: i) data preprocessing, ii) image segmentation and road surface detection, iii) road lane marking extraction based on the generated road surface, and iv) testing and system evaluation. The proposed approach utilized the unsupervised ISODATA image segmentation algorithm, which segments the image into vegetation regions, and road surface based only on the Cb component of YCbCr color space. A shadow detection method based on YCbCr color space is also employed to detect and recover the shadows from the road surface casted by the vehicles and trees. Finally, the lane marking features are detected from the road surface using the histogram clustering. The experiments of applying the proposed method to the aerial imagery dataset of Gympie, Queensland demonstrate the efficiency of the approach.