Das Wortlernen begleitet unser Leben von der Kindheit bis ins Alter. Kleinkinder lernen ihre Muttersprache(n), aber auch Erwachsene lernen neue Wörter, z.B. beim Fremdspracherwerb. Unter gewissen Umständen muss eine neue Sprache wieder erlernen werden, wie z.B. nach einer Gehirnläsion. Wie meistert unser Gehirn diese herausfordernden Wortlernsituationen? Um die Neuroplastizität des Wortlernens zu untersuchen, wurden unterschiedliche neurowissenschaftliche Methoden (Elektroenzephalographie, funktionelle Nahinfrarotspektroskopie, voxel-basierte Läsion-Verhalten/EEG Mapping), teilweise in Kombination, bei Kleinkindern, Kindern und Erwachsenen sowie Patienten mit einer Gehirnläsion im Vergleich zu älteren Kontrollprobanden angewendet. 5 Experimente untersuchten die neuronale Verarbeitung von Pseudowörtern, welche mutter- und fremdsprachlichen phonotaktischen Regeln (d.h. die Kombination von verschiedenen Phonemen) folgten, in unterschiedlichen Lernsettings bei monolingualen Teilnehmern. Gesunde Erwachsene aber auch 6monatige und ältere Teilnehmer und Patienten konnten diese Regeln differenzieren. Beteiligte Gehirnareale umfassten ein links-hemisphärisches fronto-temporales Netzwerk. Die Verarbeitung universeller Spracheigenschaften, andererseits, zeigte sich in parietalen Regionen. Während Erwachsene eine klare Dominanz der linken Hemisphäre aufwiesen, nutzten 6monatige noch beide Gehirnhälften. Unterschiedliche Sprachtrainings (semantische Trainings oder Passives Zuhören) an drei aufeinanderfolgenden Tagen veränderten auch die Gehirnaktivität der Kleinkinder und der Erwachsenen und wiesen auf eine erhöhte Lernflexibilität hin. Im 6. Experiment lernten 5jährige bilinguale Kinder anhand pragmatischer Eigenschaften neue Adjektive und zeigten effizientere neuronale Mechanismen als Monolinguale. Die Ergebnisse unterstreichen die Wichtigkeit multi-methodologischer Ansätze, um genauere Einblicke in die komplexen Mechanismen der Neuroplastizität zu erlangen. / Word learning accompanies our everyday life from infancy to advanced age. Infants have to learn the native language(s) but also during adulthood word learning can take place, for example if we learn a new foreign language. Sometimes people are confronted with a situation in which they have to re-learn a language because of a brain lesion. How does the brain master these challenging word learning settings? To assess neuroplasticity of word learning several neuroscientific methods (electroencephalography, functional near-infrared spectroscopy, voxel-based lesion-behavior/EEG mapping), partially in combination, were used in infants, children, and adults as well as in patients suffering from a brain lesion compared to matched elderly controls. In 5 experiments neuronal processing of pseudowords corresponding to native and non-native phonotactic rules (i.e., the combination of different phonemes) was investigated under different learning conditions in monolingual participants. Healthy adults but also 6-month-old infants and elderly subjects and patients were able to differentiate these rules. Involved brain areas included a left-hemispheric network of fronto-temporal regions. When processing universal linguistic features, however, more parietal regions were involved. While adults revealed a clear left-dominant network, 6-month-olds still recruited bilateral brain areas. Differential language trainings (semantic or passive listening trainings) over three consecutive days also modulated brain activation in both infants and adults suggesting a high flexibility for learning native and non-native linguistic regularities. In a 6th experiment, bilingual 5-year-old children learned novel adjectives by means of pragmatic cues and revealed more efficient neuronal mechanisms compared to monolingual children. Findings underline the importance of multi-methodological approaches to get clearer insights into the complex machinery of neuroplasticity.

A highly accurate sensor for measuring distances, used for creating high-resolution 3D maps of the environment, utilize “Light Detection And Ranging” (LiDAR) technology. This degree project aims to investigate the implementation of 3D LiDAR sensors into off-highway vehicle display computers, called CCpilots. This involves a study of available low-cost 3D LiDAR sensors on the market and development of an application for visualizing real time data graphically, with room for optimization algorithms. The selected LiDAR sensor is “Livox Mid-360”, a hybrid-solid technology and a field of view of 360° horizontally and 59° vertically. The LiDAR application was developed using Livox SDK2 combined with a C++ back-end, in order to visualize data using Qt QML as the Graphical User Interface design tool. A filter was utilized from the Point Cloud Library (PCL), called a voxel grid filter, for optimization purpose. Real time 3D LiDAR sensor data was graphically visualized on the display computer CCpilot X900. The voxel grid filter had a few visual advantages, although it consumed more processor power compared to when no filter was used. Whether a filter was used or not, all points generated by the LiDAR sensor could be processed and visualized by the developed application without any latency.

Die Bestrahlungstherapie von Aderhautmelanomen mit der Protonentherapie stellt ein sehr präzises Behandlungsverfahren dar, welches hohe Ansprüche an die zugrundliegende Bildgebung stellt. Die Magnetresonanztomographie (MRT) und Computertomographie (CT) scheinen prinzipiell in der Lage, mit geeigneten Oberflächenspulen bzw. angepaßter Untersuchungstechnik diese Ansprüche zu erfüllen. Ziel der Arbeit ist die Bereitstellung und Überprüfung eines bildgebenden Systems, das einerseits die diagnostischen und differentialdiagnostischen Aufgaben für die Differenzierung und das Staging von Aderhautmelanomen erfüllt und andererseits als Grundlage der Bestrahlungsplanung dienen kann. Erstrebenswert ist dabei die Erstellung von Schnittbildern bestehend aus isotropen Voxeln, d.h. Voxeln mit identischer Kantenlänge, mit der Magnetresonanztomographie (MRT) und der Computertomographie (CT). Zur Differenzierung der unterschiedlichen Tumorentitäten wurden verschiedene Untersuchungen mit zum Teil großen Patientenkollektiven durchgeführt und histologisch und klinisch korreliert bzw. verifiziert. Dabei konnte das MR-morphologische Erscheinungsbild der relevanten Erkrankungen studiert werden. Die Genauigkeit der MR-gestützten Tumorvolumetrie wurde in vitro im Tierversuch und in vivo am Patientenauge überprüft. Zur Überprüfung der Genauigkeit der MR-Bildgebung mit isotropen Voxeln wurden unterschiedliche Spulen getestet und verschiedene Phantomuntersuchungen durchgeführt. Entsprechend wurde auch die CT evaluiert. Mit der digitalen Bildfusion wurden die MRT- und die CT-Daten in einen gemeinsamen Datensatz überführt, der sowohl zur Bestimmung der Genauigkeit beider Verfashren als auch als Basis zur Bestrahlungsplanung verwendet werden konnte. Mit einer optimierten Untersuchungstechnik konnten Schnittbilder auf der Basis von CT und MRT zur Verfügung gestellt werden, die eine präzise Planung der Protonenbestrahlung beim Aderhautmelanom ermöglichen. / The radiation therapy of uveal melanomas using proton therapy is a very precise therapy procedure, that makes high demands on the underlying imaging modalities. In general magnetic resonance imaging (MRI) and computed tomography (CT) have the potential to fulfill these criteria using suited surface coils and optimized imaging techniques, respectively. Purpose of the investigations was the preparation and evaluation of an imaging system, that allows diagnosis and differetial diagnosis of uveal melanomas including staging on the one hand. On the other hand it should be the base for high precision radiation therapy planning. The preparation of images with isotropic voxels, i.e. the edges of the voxels have identical size, is desirable with both magnetic resonance imaging (MRI) and computed tomography (CT). Several examinations on large patient groups were performed for the differentiation of different tumor entities and compared with clinical and histopathological outcome. The precision of the MR-based tumor volumetry was evaluated with animal studies in vitro and patient eyes in vivo. The MR-imaging with isotropic voxels was evaluated using several surface coils and phantom examinations. Comparable examinations were performed regarding CT. Digital image fusion of CT and MRI data sets was used to evaluate the precision of both modalities and for planning of radiation therapy. Using optimized examination techniques both CT and especially MRI are suitable for a precise proton therapy planning of uveal melanoma.

Inventée en 1983, comme procédé de prototypage rapide, la fabrication additive (FA) est aujourd’hui considérée comme un procédé de fabrication quasiment au même titre que les procédés conventionnels. On trouve par exemple des pièces obtenues par FA dans des structures d’aéronef. Cette évolution de la FA est due principalement à la liberté de forme permise par le procédé. Le développement de diverses techniques sur le principe de fabrication couche par couche et l’amélioration en quantité et en qualité de la palette de matériaux pouvant ainsi être mis en forme, ont été les moteurs de cette évolution. De nombreuses autres techniques et matériaux de FA continuent de voir le jour. Dans le sillage de la FA (communément appelée impression 3D) a émergé un autre mode de fabrication : l’impression 4D (I4D). L’I4D consiste à explorer l’interaction matériaux intelligents (MIs) – FA. Les MIs sont des matériaux dont l’état change en fonction d’un stimulus ; c’est le cas par exemple des matériaux thermochromiques dont la couleur change en réponse à la chaleur ou des hydrogels qui peuvent se contracter en fonction du pH d’un milieu aqueux ou de la lumière. Les objets ainsi obtenus ont – en plus d’une forme initiale (3D) – la capacité de changer d’état (en fonction des stimuli auxquels sont sensibles les MIs dont ils sont faits) d’où la 4e dimension (temps). L’I4D fait – à juste titre – l’objet d’intenses recherches concernant l’aspect fabrication (exploration de nouveaux procédés et matériaux, caractérisation, etc.). Cependant très peu de travaux sont entrepris pour accompagner les concepteurs (qui, a priori, ne sont ni experts FA ni des experts de MIs) à l’utiliser dans leurs concepts. Cette nouvelle interaction procédé-matériau requiert en effet des modèles, des méthodologies et outils de conception adaptés. Cette thèse sur la conception pour l’impression 4D a pour but de combler ce vide méthodologique. Une méthodologie de conception pour la FA a été proposée. Cette méthodologie intègre les libertés (forme, matériaux, etc.) et les contraintes (support, résolution, etc.) spécifiques à la FA et permet aussi bien la conception de pièces que celle d’assemblages. En particulier, la liberté de forme a été prise en compte en permettant la génération d’une géométrie minimaliste basée sur les flux fonctionnels (matière, énergie, signal) de la pièce. Par ailleurs, les contributions de cette thèse ont porté sur la conception avec les matériaux intelligents. Parce que les MIs jouent plus un rôle fonctionnel que structurel, les préoccupations portant sur ces matériaux doivent être menées en amont du processus de conception. En outre, contrairement aux matériaux conventionnels (pour lesquels quelques valeurs de paramètres peuvent suffire comme information au concepteur), les MIs requièrent d’être décrits plus en détails (stimulus, réponse, fonctions, etc.). Pour ces raisons un système d’informations orientées conception sur les MIs a été mis au point. Ce système permet, entre autre, d’informer les concepteurs sur les capacités des MIs et aussi de déterminer des MIs candidats pour un concept. Le système a été matérialisé par une application web. Enfin un cadre de modélisation permettant de modéliser et de simuler rapidement un objet fait de MIs a été proposé. Ce cadre est basé sur la modélisation par voxel (pixel volumique). En plus de la simulation des MIs, le cadre théorique proposé permet également le calcul d’une distribution fonctionnelle de MIs et matériau conventionnel ; distribution qui, compte tenu d’un stimulus, permet de déformer une forme initiale vers une forme finale désirée. Un outil – basé sur Grasshopper, un plug-in du logiciel de CAO Rhinoceros® – matérialisant ce cadre méthodologique a également été développé. / Invented in 1983, as a rapid prototyping process, additive manufacturing (AM) is nowadays considered as a manufacturing process almost in the same way as conventional processes. For example, parts obtained by AM are found in aircraft structures. This AM evolution is mainly due to the shape complexity allowed by the process. The driving forces behind this evolution include: the development of various techniques on the layer-wise manufacturing principle and the improvement both in quantity and quality of the range of materials that can be processed. Many other AM techniques and materials continue to emerge. In the wake of the AM (usually referred to as 3D printing) another mode of manufacturing did emerge: 4D printing (4DP). 4DP consists of exploring the smart materials (SM) – AM interaction. SMs are materials whose state changes according to a stimulus; this is the case, for example, with thermochromic materials whose color changes in response to heat or hydrogels which can shrink as a function of an aqueous medium’s pH or of light. The objects thus obtained have – in addition to an initial form (3D) – the capacity to shift state (according to the stimuli to which the SMs of which they are made are sensitive) hence the 4th dimension (time). 4DP is – rightly – the subject of intense research concerning the manufacturing aspect (exploration of new processes and materials, characterization, etc.). However, very little work is done to support the designers (who, in principle, are neither AM experts nor experts of SMs) to use it in their concepts. This new process-material interaction requires adapted models, methodologies and design tools. This PhD on design for 4D printing aims at filling this methodological gap. A design methodology for AM (DFAM) has been proposed. This methodology integrates the freedoms (shape, materials, etc.) and the constraints (support, resolution, etc.) peculiar to the AM and allows both the design of parts and assemblies. Particularly, freedom of form has been taken into account by allowing the generation of a minimalist geometry based on the functional flows (material, energy, and signal) of the part. In addition, the contributions of this PhD focused on designing with smart materials (DwSM). Because SMs play a functional rather than a structural role, concerns about these materials need to be addressed in advance of the design process (typically in conceptual design phase). In addition, unlike conventional materials (for which a few parameter values may suffice as information to the designer), SMs need to be described in more detail (stimulus, response, functions, etc.). For these reasons a design-oriented information system on SMs has been developed. This system makes it possible, among other things, to inform designers about the capabilities of SMs and also to determine SMs candidates for a concept. The system has been materialized by a web application. Finally, a modeling framework allowing quickly modeling and simulating an object made of SMs has been proposed. This framework is based on voxel modeling (volumetric pixel). In addition to the simulation of SMs behaviors, the proposed theoretical framework also allows the computation of a functional distribution of SMs and conventional material; distribution which, given a stimulus, makes it possible to deform an initial form towards a desired final form. A tool – based on Grasshopper, a plug-in of the CAD software Rhinoceros® – materializing this methodological framework has also been developed.

The side-effects of chemotherapy treatment are an increasingly important research focus as more cancer patients are reaching survivorship. While treatment allows for survival, it can also lead to problems which can significantly affect quality of life. Cognitive impairments after chemotherapy treatment are one such factor. First presented as anecdotal patient reports, over the last decade empirical evidence for this cognitive concern has been obtained. Much attention has been focused on post-chemotherapy research, yet little attention has been granted to these same patients’ cognition before treatment commences. Breast cancer (BC) patients face many obstacles before chemotherapy treatment such as: surgery and side-effects of anesthesia, increased cytokine activity, stress of a new disease diagnosis and upcoming challenges, and emotional burdens such as depression and anxiety. Many of these factors have independently been shown to affect cognitive abilities in both healthy populations as well as other patient groups. Therefore, the pre-treatment (or baseline) BC patient status warrants systematic study. This would then reduce mistakenly attributing carried-over cognitive deficits to side effects of chemotherapy. As well, it is possible that certain confounding variables may have neural manifestations at baseline that could be exacerbated by chemotherapy agents. The following thesis first presents a review paper which critically describes the current literature examining chemotherapy-related cognitive impairments (CRCIs), as well as possible confound variables affecting this population. Subsequently, three original research papers present pre-chemotherapy data showing significant neuroanatomical and neurofunctional differences in BC patients compared to controls. In particular, these neural differences are present in brain regions that have been reported in post-chemotherapy papers. This, as well as the effects of variables such as the number of days since surgery, depression and anxiety scores and more, support the initiative that research attention should increase focus on these patients at baseline in order to better understand their post-chemotherapy results.

The side-effects of chemotherapy treatment are an increasingly important research focus as more cancer patients are reaching survivorship. While treatment allows for survival, it can also lead to problems which can significantly affect quality of life. Cognitive impairments after chemotherapy treatment are one such factor. First presented as anecdotal patient reports, over the last decade empirical evidence for this cognitive concern has been obtained. Much attention has been focused on post-chemotherapy research, yet little attention has been granted to these same patients’ cognition before treatment commences. Breast cancer (BC) patients face many obstacles before chemotherapy treatment such as: surgery and side-effects of anesthesia, increased cytokine activity, stress of a new disease diagnosis and upcoming challenges, and emotional burdens such as depression and anxiety. Many of these factors have independently been shown to affect cognitive abilities in both healthy populations as well as other patient groups. Therefore, the pre-treatment (or baseline) BC patient status warrants systematic study. This would then reduce mistakenly attributing carried-over cognitive deficits to side effects of chemotherapy. As well, it is possible that certain confounding variables may have neural manifestations at baseline that could be exacerbated by chemotherapy agents. The following thesis first presents a review paper which critically describes the current literature examining chemotherapy-related cognitive impairments (CRCIs), as well as possible confound variables affecting this population. Subsequently, three original research papers present pre-chemotherapy data showing significant neuroanatomical and neurofunctional differences in BC patients compared to controls. In particular, these neural differences are present in brain regions that have been reported in post-chemotherapy papers. This, as well as the effects of variables such as the number of days since surgery, depression and anxiety scores and more, support the initiative that research attention should increase focus on these patients at baseline in order to better understand their post-chemotherapy results.

Zoomable user interfaces (ZUIs) have been studied for a long time and many applications are built upon them. Most applications, however, only use two dimensions to express the content. This report presents a solution using all three dimensions where the base features are built as a framework with uniform grids and scene graphs as primary data structures. The purpose of these data structures is to improve performance while maintaining flexibility when creating and handling three-dimensional objects. A 3D-ZUI is able to represent the view of the world and its objects in a more lifelike manner. It is possible to interact with the objects much in the same way as in real world. By developing a prototype framework as well as some example applications, the usefulness of 3D-ZUIs is illustrated. Since the framework relies on abstraction and object-oriented principles it is easy to maintain and extend it as needed. The currently implemented data structures are well motivated for a large scale 3D-ZUI in terms of accelerated collision detection and picking and they also provide a flexible base when developing applications. It is possible to further improve performance of the framework, for example by supporting different types of culling and levels of detail

Additive manufacturing technologies are enabling newfound degrees of geometrical complexity to be realised, particularly with regards to internal structures. All of these manufacturing technologies are dependant on their prior design in an appropriate electronic form, either by reverse engineering, or, primarily, by computer-aided design. Within these emerging applications is the design of scaffolds with an intricate and controlled internal structure for bone tissue engineering. There is a consensus that ideal bone scaffold geometry is evident in biological trabecular structures. In their most basic topological form,these structures consist of the non-linear distribution of irregular interconnecting rods and plates of different size and shape. Complex and irregular architectures can be realised by several scaffold manufacturing techniques, but with little or no control over the main features of the internal geometry, such as size, shape and interconnectivity of each individual element. The combined use of computer aided design systems and additive manufacturing techniques allows a high degree of control over these parameters with few limitations in terms of achievable complexity. However, the design of irregular and intricate trabecular networks in computer aided design systems is extremely time-consuming since manually modelling an extraordinary number of different rods and plates, all with different parameters, may require several days to design an individual scaffold structure. In an attempt to address these difficulties, several other research efforts in this domain have largely focussed on techniques which result in designs which comprise of relatively regular and primitive shapes and do not represent the level of complexity seen biologically. Detailed descriptions of these methods are covered in chapter 1. An automated design methodology for trabecular structures is proposed by this research to overcome these limitations. This approach involves the investigation of novel software algorithms, which are able to interact with a conventional computer aided design program and permit the automated design of geometrical elements in the form of rods, each with a different size and shape. The methodology is described in chapter 2 and is tested in chapter 3. Applications of this methodology in anatomical designs are covered in chapter 4. Nevertheless, complex designed rod networks may still present very different properties compared to trabecular bone geometries due to a lack detailed information available which explicitly detail their geometry. The lack of detailed quantitative descriptions of trabecular bone geometries may compromise the validity of any design methodology, irrespective of automation and efficiency. Although flexibility of a design methodology is beneficial, this may be rendered inadequate when insufficient quantitative data is known of the target structure. In this work a novel analysis methodology is proposed in chapter 5, which may provide a significant contribution toward the characterisation and quantification of target geometries, with particular focus on trabecular bone structures. This analysis methodology can be used either to evaluate existing design techniques or to drive the development of new bio-mimetic design techniques. This work then progresses to a newly derived bio-mimetic automated design technique, driven by the newly produced quantitative data on trabecular bone geometries. This advanced design methodology has been developed and tested in chapter 6. This has demonstrated the validity of the technique and realised a significant stage of development in the context and scope of this work.

No description available.

The side-effects of chemotherapy treatment are an increasingly important research focus as more cancer patients are reaching survivorship. While treatment allows for survival, it can also lead to problems which can significantly affect quality of life. Cognitive impairments after chemotherapy treatment are one such factor. First presented as anecdotal patient reports, over the last decade empirical evidence for this cognitive concern has been obtained. Much attention has been focused on post-chemotherapy research, yet little attention has been granted to these same patients’ cognition before treatment commences. Breast cancer (BC) patients face many obstacles before chemotherapy treatment such as: surgery and side-effects of anesthesia, increased cytokine activity, stress of a new disease diagnosis and upcoming challenges, and emotional burdens such as depression and anxiety. Many of these factors have independently been shown to affect cognitive abilities in both healthy populations as well as other patient groups. Therefore, the pre-treatment (or baseline) BC patient status warrants systematic study. This would then reduce mistakenly attributing carried-over cognitive deficits to side effects of chemotherapy. As well, it is possible that certain confounding variables may have neural manifestations at baseline that could be exacerbated by chemotherapy agents. The following thesis first presents a review paper which critically describes the current literature examining chemotherapy-related cognitive impairments (CRCIs), as well as possible confound variables affecting this population. Subsequently, three original research papers present pre-chemotherapy data showing significant neuroanatomical and neurofunctional differences in BC patients compared to controls. In particular, these neural differences are present in brain regions that have been reported in post-chemotherapy papers. This, as well as the effects of variables such as the number of days since surgery, depression and anxiety scores and more, support the initiative that research attention should increase focus on these patients at baseline in order to better understand their post-chemotherapy results.