3D reconstruction of medical images from slices automatically landmarked with growing neural models

In this study, we utilise a novel approach to segment out the ventricular system in a series of high resolution T1-weighted MR images. We present a brain ventricles fast reconstruction method. The method is based on the processing of brain sections and establishing a fixed number of landmarks onto those sections to reconstruct the ventricles 3D surface. Automated landmark extraction is accomplished through the use of the self-organising network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates the classical surface reconstruction and filtering processes. The proposed method offers higher accuracy compared to methods with similar efficiency as Voxel Grid.

3D geometry of growth strata in a fault-propagation fold: insights into space–time evolution of the Crevillente Fault (Abanilla-Alicante sector), Betic Cordillera, Spain

This work presents a 3D geometric model of growth strata cropping out in a fault-propagation fold associated with the Crevillente Fault (Abanilla-Alicante sector) from the Bajo Segura Basin (eastern Betic Cordillera, southern Spain). The analysis of this 3D model enables us to unravel the along-strike and along-section variations of the growth strata, providing constraints to assess the fold development, and hence, the fault kinematic evolution in space and time. We postulate that the observed along-strike dip variations are related to lateral variation in fault displacement. Along-section variations of the progressive unconformity opening angles indicate greater fault slip in the upper Tortonian–Messinian time span; from the Messinian on, quantitative analysis of the unconformity indicate a constant or lower tectonic activity of the Crevillente Fault (Abanilla-Alicante sector); the minor abundance of striated pebbles in the Pliocene-Quaternary units could be interpreted as a decrease in the stress magnitude and consequently in the tectonic activity of the fault. At a regional scale, comparison of the growth successions cropping out in the northern and southern limits of the Bajo Segura Basin points to a southward migration of deformation in the basin. This means that the Bajo Segura Fault became active after the Crevillente Fault (Abanilla-Alicante sector), for which activity on the latter was probably decreasing according to our data. Consequently, we propose that the seismic hazard at the northern limit of the Bajo Segura Basin should be lower than at the southern limit.

Visual perception for the 3D recognition of geometric pieces in robotic manipulation

During grasping and intelligent robotic manipulation tasks, the camera position relative to the scene changes dramatically because the robot is moving to adapt its path and correctly grasp objects. This is because the camera is mounted at the robot effector. For this reason, in this type of environment, a visual recognition system must be implemented to recognize and “automatically and autonomously” obtain the positions of objects in the scene. Furthermore, in industrial environments, all objects that are manipulated by robots are made of the same material and cannot be differentiated by features such as texture or color. In this work, first, a study and analysis of 3D recognition descriptors has been completed for application in these environments. Second, a visual recognition system designed from specific distributed client-server architecture has been proposed to be applied in the recognition process of industrial objects without these appearance features. Our system has been implemented to overcome problems of recognition when the objects can only be recognized by geometric shape and the simplicity of shapes could create ambiguity. Finally, some real tests are performed and illustrated to verify the satisfactory performance of the proposed system.

Overcoming performance and convergence issues of discrete transform based modeling of crosslinking classical and reversible deactivated radical polymerizations

Population balances of polymer species in terms 'of discrete transforms with respect to counts of groups lead to tractable first order partial differential equations when ali rate constants are independent of chain length and loop formation is negligible [l]. Average molecular weights in the absence ofgelation are long known to be readily found through integration of an initial value problem. The extension to size distribution prediction is also feasible, but its performance is often lower to the one provided by methods based upon real chain length domain [2]. Moreover, the absence ofagood starting procedure and a higher numerical sensitivity hás decisively impaired its application to non-linear reversibly deactivated polymerizations, namely NMRP [3].

Biochemical and functional characterization of the tumor suppressors BRCA1 and BAP1

L’ubiquitination est une modification post-traductionnelle qui joue un rôle majeur dans la régulation d’une multitude de processus cellulaires. Dans cette thèse, je discuterai de la caractérisation de deux protéines, BRCA1 et BAP1, soit deux suppresseurs de tumeurs fonctionnellement reliés. BRCA1, une ubiquitine ligase qui catalyse la liaison de l’ubiquitine à une protéine cible, est mutée dans les cancers du sein et de l'ovaire. Il est bien établi que cette protéine aide à maintenir la stabilité génomique suite à un bris double brin de l’ADN (BDB), et ce, à l’aide d’un mécanisme de réparation bien caractérisé appelé recombinaison homologue. Cependant, les mécanismes de régulation de BRCA1 suite à des stresses génotoxiques n’impliquant pas directement un BDB ne sont pas pleinement élucidés. Nous avons démontré que BRCA1 est régulée par dégradation protéasomale suite à une exposition des cellules à deux agents génotoxiques reconnus pour ne pas directement générer des BDBs, soit les rayons UV, qui provoquent la distorsion de l’hélice d’ADN, et le méthyle méthanesulfonate (MMS), qui entraîne l’alkylation de l’ADN. La dégradation de BRCA1 est réversible et indépendante des kinases associées à la voie des PI3 kinase, soit ATM, ATR et DNA-PK, protéines qui sont rapidement activées par les dommages à l’ADN. Nous proposons que la dégradation de BRCA1 prévienne son recrutement intempestif, ainsi que celui des facteurs qui lui sont associés, à des sites de dommages d’ADN qui ne sont pas des BDBs, et que cette régulation coordonne la réparation de l’ADN. L’enzyme de déubiquitination BAP1 a initialement été identifiée comme une protéine capable d’interagir avec BRCA1 et de réguler sa fonction. Elle est également connue pour sa capacité à se lier avec les protéines du groupe Polycomb, ASXL1 et ASXL2. Cependant, l’importance de ces interactions n’a toujours pas été établie. Nous avons démontré que BAP1 forme deux complexes protéiques mutuellement exclusifs avec ASXL1 et ASXL2. Ces interactions sont critiques pour la liaison de BAP1 à l’ubiquitine ainsi que pour la stimulation de son activité enzymatique envers l’histone H2A. Nous avons également identifié des mutations de BAP1 dérivées de cancers qui empêchent à la fois son interaction avec ASXL1 et AXSL2, et son activité de déubiquitinase, ce qui fournit un lien mécanistique direct entre la déubiquitination de H2A et la tumorigenèse. Élucider les mécanismes de régulation de BRCA1 et BAP1 menera à une meilleure compréhension de leurs rôles de suppresseurs de tumeurs, permettant ainsi d’établir de nouvelles stratégies de diagnostic et traitement du cancer.

Physical characterization and numerical modeling of a WEST-like tokamak divertor plasma

Il presente elaborato è incentrato sulla modellizzazione del plasma di bordo nei dispositivi per la produzione di energia da fusione nucleare noti come tokamak. La tecnologia che nel corso di tutta la seconda metà del XX secolo fino ad oggi è stata sviluppata a questo fine deve necessariamente scontrarsi con alcuni limiti. Nei tokamak il confinamento del plasma è di tipo magnetico e vincola le particelle a muoversi di moto elicoidale all'interno del vessel, tuttavia il confinamento non risulta perfetto e parte dell'energia si scarica sulle pareti della camera, rischiando pertanto di fondere i materiali. Alcune strategie possono essere messe in atto per limitare questo problema, per esempio agendo sulla geometria del tokamak, oppure sulla fisica, inducendo nel plasma una data concentrazione di impurezze che ionizzino irraggiando parte dell'energia di plasma. Proprio tale meccanismo di perdita è stato simulato in un modello monodimensionale di plasma monofluido di bordo. I risultati del codice numerico relativo al modello dimostrano che per concentrazioni di impurezze crescenti è possibile diminuire in modo significativo flusso di calore e temperatura al divertore. Per di più risulta possibile controllare la posizione del fronte di irraggiamento per mezzo di parametri di controllo del plasma quali la pressione. Si osserva inoltre l'insorgere del cosiddetto fenomeno di biforcazione alle basse temperature di divertore, fenomeno in cui il plasma si comporta in modo instabile a causa di fenomeni fisici tipici delle basse energie ("detachment") e a seguito del quale può improvvisamente spegnersi (disruzione). Infine lo stesso modello è stato migliorato inserendo l'ipotesi di plasma bifluido. Anche per gli ioni viene osservato il fenomeno di biforcazione. I risultati numerici evidenziano le dinamiche dello scambio energetico fra le specie gettando le basi di una progettazione efficiente della chimica del plasma finalizzata al raffreddamento del divertore.

Modeling of Self-similar Traffic

Modeling of self-similar traffic is performed for the queuing system of G/M/1/K type using Weibull distribution. To study the self-similar traffic the simulation model is developed by using SIMULINK software package in MATLAB environment. Approximation of self-similar traffic on the basis of spline functions. Modeling self-similar traffic is carried outfor QS of W/M/1/K type using the Weibull distribution. Initial data are: the value of Hurst parameter H=0,65, the shape parameter of the distribution curve α≈0,7 and distribution parameter β≈0,0099. Considering that the self-similar traffic is characterized by the presence of "splashes" and long-termdependence between the moments of requests arrival in this study under given initial data it is reasonable to use linear interpolation splines.

Mathematical modeling of shoreline evolution /

"October 1977."

The new Schaff-herzog encyclopedia of religious knowledge, embracing Biblical, historical, doctrinal, and practical theology, and Biblical, theological, and Biblical, theological, and ecclesiastical biography from the earliest times to the present day; based on the 3d ed. of the Realencyklopädie founded by J. J. Herzog,

Mode of access: Internet.

Finite element modeling of motor vehicles. Protocol for developing INGRID data input desks for DYNA3D computer code. Final report.

Federal Highway Administration, Office of Safety and Traffic Operations Research Development, McLean, Va.

Analytical modeling of driver response in crash avoidance maneuvering. Volume I: technical background. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Analytical modeling of driver response in crash avoidance maneuvering. Volume II: an interactive tire model for driver/vehicle simulation. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Analytical modeling of driver response in crash avoidance maneuvering. Volume III: a trim model and computer program for determining ground vehicle steady state operating conditions and quasilinear stability coefficients. Final report.

National Highway Traffic Safety Administration, Washington, D.C.