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<p>This thesis describes the development of a method to measure <em>in vivo</em> gadolinium (Gd) content by prompt gamma neutron activation analysis (PGNAA). PGNAA is a quantitative measurement technique that is completely non-invasive. Gadolinium has the highest thermal neutron capture cross section of all the stable elements. Gadolinium-based contrast agents are widely used in magnetic resonance imaging (MRI). The primary intention of this work is to quantify <em>in vivo</em> Gd retention to investigate the potential toxicity of these agents. This study involves the optimization of the McMaster University ²³⁸Pu/Be PGNAA facility for Gd measurements. Monte Carlo simulations were performed in parallel with the experimental work using MCNP version 5. Excellent agreement has been demonstrated between the Monte Carlo model of the system and the experimental measurements (both sensitivity and dosimetry). The initial study on the sensitivity of Gd demonstrated the feasibility of the measurement system. The Monte Carlo dosimetry simulations and experimental survey measurements demonstrated consistently that the radiation exposures for a single measurement were quite low, with an effective dose rate of 1.1 µSv/hr for a leg muscle measurement, 74 µSv/hr for a kidney measurement, and 48 µSv/hr for a liver measurement. The initial studies confirmed the Gd measurement feasibility which ultimately led to an <em>in vivo</em> pilot study on 10 healthy volunteers. The pilot study was successful with 9 out of 10 volunteers having measureable Gd in muscle above the <em>in vivo</em> detection limit of 0.58 ppm within 1 hour of administration, and the remaining participant had detectable Gd 196 minutes post administration. The concentrations measured ranged from 6.9 to 56 uncertainties different from zero. The system has been validated in humans and can now be used in future studies of short or long-term retention of Gd after contrast administration in at risk populations, such as those with reduced kidney function, patients with multiple exposures over the treatment period, and patients who are prescribed higher dosages. In addition, experiments and simulations were extended to another high neutron absorbing element, samarium (Sm).</p> / Doctor of Philosophy (PhD)

This project sought to evaluate the effects of video prompting in combination with backwards chaining to increase proficiency of tying shoe-laces using a changing criterion design. Two children, one diagnosed with Autism Spectrum Disorder (ASD) and one neurotypical were invited to participate in this study. Following baseline, shoe-tying prompt videos and backwards chaining were used to teach shoe-tying. Video prompting plus backwards chaining increased the typically developing participant’s proficiency with performing a larger percentage of steps of the targeted skill independently following intervention. However, the participant with ASD was unable to meet criterion and the study was terminated for him due to challenging behavior. These results indicate that the combination of point-of-view video prompts along with backwards chaining can be effective in teaching children to tie their shoelaces. These results also indicate that children with ASD may need additional supports with this intervention to reach acquisition criterion. Parents reported satisfaction both with the procedures undertaken and with the outcomes of the intervention. / Applied Behavioral Analysis

Comparative anatomical studies of diverse plant species are vital for the understanding of changes in gene functions such as those involved in solute transport and hormone signaling in plant roots. The state-of-the-art method for confocal image analysis called PlantSeg utilized U-Net for cell wall segmentation. U-Net is a neural network model that requires training with a large amount of manually labeled confocal images and lacks generalizability. In this research, we test a foundation model called the Segment Anything Model (SAM) to evaluate its zero-shot learning capability and whether prompt engineering can reduce the effort and time consumed in dataset annotation, facilitating a semi-automated training process. Our proposed method improved the detection rate of cells and reduced the error rate as compared to state-of-the-art segmentation tools. We also estimated the IoU scores between the proposed method and PlantSeg to reveal the trade-off between accuracy and detection rate for different quality of data. By addressing the challenges specific to confocal images, our approach offers a robust solution for studying plant structure. Our findings demonstrated the efficiency of SAM in confocal image segmentation, showcasing its adaptability and performance as compared to existing tools. Overall, our research highlights the potential of foundation models like SAM in specialized domains and underscores the importance of tailored approaches for achieving accurate semantic segmentation in confocal imaging. / Master of Science / Studying different plant species' anatomy is crucial for understanding how genes work, especially those related to moving substances and signaling in plant roots. Scientists often use advanced techniques like confocal microscopy to examine plant tissues in detail. Traditional techniques like PlantSeg in automatically segmenting plant cells require a lot of computational resources and manual effort in preparing the dataset and training the model. In this study, we develop a novel technique using Segment-Anything-Model that could learn to identify cells without needing as much training data. We found that SAM performed better than other methods, detecting cells more accurately and making fewer mistakes. By comparing SAM with PlantSeg, we could see how well they worked with different types of images. Our results show that SAM is a reliable option for studying plant structures using confocal imaging. This research highlights the importance of using tailored approaches like SAM to get accurate results from complex images, offering a promising solution for plant scientists.

No / Hydration of five Roman and American natural cements was analyzed using X-ray diffraction, mercury intrusion porosimetry, and scanning electron microscopy of cement pastes. Two cements were prepared in the laboratory by burning marls from geological sources in Poland (Folwark) and Austria (Lilienfeld). The selection of raw materials and burning conditions were optimized so that the hydraulic nature and appearance of the final burnt materials matched as closely as possible historic Roman cements widely used in the 19th and the beginning of the 20th centuries in Europe to decorate buildings. Three other cements are produced commercially: quick setting Prompt cement from Vicat, France, and Rosendale cements from Edison Coatings Inc., USA. The hydration of the cements studied was shown to comprise two distinct stages. The immediate setting and early strength is due to the formation of calcium aluminum oxide carbonate (or sulfate) hydroxide hydrates. The development of long-term strength is brought about by the formation of calcium silicate hydrates. Similarities and differences between the individual cements are discussed.

No / Trade credit terms offer firms contractual solutions to informational asymmetries between buyers and sellers. The credit period permits buyers to reduce uncertainty concerning product quality prior to payment, while the seller can reduce uncertainty concerning buyer payment intentions by prescribing payment before/on delivery or through two¿part payment terms and other mechanisms. Variation in trade credit terms also offers firms price discriminating opportunities. This study, drawing on the responses of 700 large firms in the US, UK and Australia, explores trade credit terms through the twin objectives of reducing information asymmetries and discriminatory pricing. Support is found for both theories.

This Bachelor thesis investigates the influence of prompt engineering and the integration of an Interaction Quality (IQ) feedback loop on the performance of ChatGPT-3.5 as a voice assistant. By analysing empirical data across multiple configurations, this study explores how these interventions affect response accuracy and efficiency. Findings suggest that prompt engineering tends to enhance system performance, though the benefits of the IQ feedback loop remain less clear and require further investigation. This study contributes to the field by delineating the potential for targeted modifications to improve dialogue system outputs in real-time applications.

Les programmes d’irradiations technologiques menés dans les réacteurs expérimentaux sont d’une importance cruciale pour le soutien du parc électronucléaire actuel en termes d’étude et d’anticipation du comportement sous irradiation des combustibles et des matériaux de structures. Ces programmes permettent d’améliorer la sûreté des réacteurs actuels et également d’étudier les matériaux pour les nouveaux concepts de réacteurs.Les conditions d’irradiations des matériaux dans les réacteurs expérimentaux doivent être représentatives de celles des réacteurs de puissance. Un des principaux intérêts des réacteurs d'irradiations technologiques (Material Testing Reactors, MTRs) est de pouvoir y mener des irradiations instrumentées en ajustant les paramètres expérimentaux, en particulier le flux neutronique et la température. La maîtrise du paramètre température d’un dispositif irradié dans un réacteur expérimental nécessite la connaissance de l'échauffement nucléaire (terme source) dû au dépôt d'énergie des photons et des neutrons interagissant dans le dispositif. La bonne évaluation de cet échauffement est une donnée clé pour les études thermiques de dimensionnement et de sûreté du dispositif.L'objectif de cette thèse est d'améliorer les méthodes d’évaluation de l'échauffement nucléaire en réacteur. Ce travail consiste en l’élaboration d'un schéma de calcul complet innovant, couplé neutron-photon (permettant d’obtenir la contribution des neutrons, des gamma prompts et des gamma de décroissance), fondé principalement sur le code de transport Monte-Carlo TRIPOLI-4 (à 3-dimensions et à énergie continue). Une validation expérimentale du schéma a été effectuée en s’appuyant sur les mesures de calorimétrie réalisées dans le réacteur OSIRIS (CEA Saclay). Des études de sensibilité ont également été menées pour établir l’impact de différents paramètres sur les calculs d’échauffement nucléaire, dont les données nucléaires. Cela a permis de définir le schéma de calcul définitif pour reproduire au plus près la réalité des irradiations technologiques. Le travail de thèse débouche sur un outil opérationnel et prédictif pour l'estimation de l'échauffement nucléaire répondant aux besoins de l’expérimentation en réacteur de recherche et qui peut être étendu plus largement dans des réacteurs de puissance. / Technological irradiation programs carried out in experimental reactors are crucial for the support of the current nuclear fleet in terms of study and anticipation of the behavior under irradiation of fuels and structural materials. These programs make it possible to improve the safety of the current reactors and also to study materials for the new concepts of reactors.Irradiation conditions of materials in experimental reactors must be representative of those of nuclear power plants (NPPs). One of the main advantages of material testing reactors (MTRs) is to be able to carry out instrumented irradiations by adjusting experimental parameters, in particular the neutron flux and the temperature. The control of the parameter temperature of a device irradiated in an experimental reactor requires the knowledge of the nuclear heating (source term) due to the deposition of energy of the photons and the neutrons interacting in the device. A relevant evaluation of this heating is a key data for the thermal studies of design and safety of devices. The objective of this thesis is to improve the methods of the evaluation of nuclear heating in reactors. This work consists of the development of an innovating and complete coupled neutron-photon calculation scheme (allowing to obtain the contribution of neutrons, prompt gamma and decay gamma), mainly based on the TRIPOLI-4 Monte Carlo transport code (with 3-dimensions and continuous energy). An experimental validation of the calculation scheme has been performed, based on calorimetry measurements carried out in the OSIRIS reactor (CEA Saclay). Sensitivity studies have been undertaken to establish the impact of various parameters on nuclear heating calculations (in particular nuclear data) and to fix the final calculation scheme to be closer to the technological irradiation aspects. The thesis work leads to an operational and predictive tool for the nuclear heating estimation, meeting the experimentation needs of research reactors and can be extended more generally to NPPs.

An increasing number of cancer patients is treated with proton beams or other light ion beams which allow to deliver dose precisely to the tumor. However, the depth dose distribution of these particles, which enables this precision, is sensitive to deviations from the treatment plan, as e.g. anatomical changes. Thus, to assure the quality of the treatment, a non-invasive in-vivo dose verification is highly desired. This monitoring of particle therapy relies on the detection of secondary radiation which is produced by interactions between the beam particles and the nuclei of the patient’s tissue. Up to now, the only clinically applied method for in-vivo dosimetry is Positron Emission Tomography which makes use of the beta+-activity produced during the irradiation (PT-PET). Since from a PT-PET measurement the applied dose cannot be directly deduced, the simulated distribution of beta+-emitting nuclei is used as a basis for the analysis of the measured PT-PET data. Therefore, the reliable modeling of the production rates and the spatial distribution of the beta+-emitters is required. PT-PET applied during instead of after the treatment is referred to as in-beam PET. A challenge concerning in-beam PET is the design of the PET camera, because a standard full-ring scanner is not feasible. For instance, a double-head PET camera is applicable, but low count rates and the limited solid angle coverage can compromise the image quality. For this reason, a detector system which provides a time resolution allowing the incorporation of time-of-flight information (TOF) into the iterative reconstruction algorithm is desired to improve the quality of the reconstructed images. Secondly, Prompt Gamma Imaging (PGI), a technique based on the detection of prompt gamma-rays, is currently pursued. Concerning the emissions of prompt gamma-rays during particle irradiation, experimental data is not sufficiently available, making simulations necessary. Compton cameras are based on the detection of incoherently scattered photons and are investigated with respect to PGI. Monte Carlo simulations serve for the optimization of the camera design and the evaluation of criteria for the selection of measured events. Thus, for in-beam PET and PGI dedicated detection systems and, moreover, profound knowledge about the corresponding radiation fields are required. Using various simulation codes, this thesis contributes to the modelling of the beta+-emitters and photons produced during particle irradiation, as well as to the evaluation and optimization of hardware for both techniques. Concerning the modeling of the production of the relevant beta+-emitters, the abilities of the Monte Carlo simulation code PHITS and of the deterministic, one-dimensional code HIBRAC were assessed. The Monte Carlo tool GEANT4 was applied for an additional comparison. For irradiations with protons, helium, lithium, and carbon, the depth-dependent yields of the simulated beta+-emitters were compared to experimental data. In general, PHITS underestimated the yields of the considered beta+-emitters in contrast to GEANT4 which provided acceptable values. HIBRAC was substantially extended to enable the modeling of the depth-dependent yields of specific nuclides. For proton beams and carbon ion beams HIBRAC can compete with GEANT4 for this application. Since HIBRAC is fast, compact, and easy to modify, it could be a basis for the simulations of the beta+-emitters in clinical application. PHITS was also applied to the modeling of prompt gamma-rays during proton irradiation following an experimental setup. From this study, it can be concluded that PHITS could be an alternative to GEANT4 in this context. Another aim was the optimization of Compton camera prototypes. GEANT4 simulations were carried out with the focus on detection probabilities and the rate of valid events. Based on the results, the feasibility of a Compton camera setup consisting of a CZT detector and an LSO or BGO detector was confirmed. Several recommendations concerning the design and arrangement of the Compton camera prototype were derived. Furthermore, several promising event selection strategies were evaluated. The GEANT4 simulations were validated by comparing simulated to measured energy depositions in the detector layers. This comparison also led to the reconsideration of the efficiency of the prototype. A further study evaluated if electron-positron pairs resulting from pair productions could be detected with the existing prototype in addition to Compton events. Regarding the efficiency and the achievable angular resolution, the successful application of the considered prototype as pair production camera to the monitoring of particle therapy is questionable. Finally, the application of a PET camera consisting of Resistive Plate Chambers (RPCs) providing a good time resolution to in-beam PET was discussed. A scintillator-based PET camera based on a commercially available scanner was used as reference. This evaluation included simulations of the detector response, the image reconstructions using various procedures, and the analysis of image quality. Realistic activity distributions based on real treatment plans for carbon ion therapy were used. The low efficiency of the RPC-based PET camera led to images of poor quality. Neither visually nor with the semi-automatic tool YaPET a reliable detectability of range deviations was possible. The incorporation of TOF into the iterative reconstruction algorithm was especially advantageous for the considered RPC-based PET camera in terms of convergence and artifacts. The application of the real-time capable back projection method Direct TOF for the RPCbased PET camera resulted in an image quality comparable to the one achieved with the iterative algorihms. In total, this study does not indicate the further investigation of RPC-based PET cameras with similar efficiency for in-beam PET application. To sum up, simulation studies were performed aimed at the progress of in-vivo dosimetry. Regarding the modeling of the beta+-emitter production and prompt gamma-ray emissions, different simulation codes were evaluated. HIBRAC could be a basis for clinical PT-PET simulations, however, a detailed validation of the underlying cross section models is required. Several recommendations for the optimization of a Compton Camera prototype resulted from systematic variations of the setup. Nevertheless, the definite evaluation of the feasibility of a Compton camera for PGI can only be performed by further experiments. For PT-PET, the efficiency of the detector system is the crucial factor. Due to the obtained results for the considered RPC-based PET camera, the focus should be kept to scintillator-based PET cameras for this purpose.