In the UK there has been growing concern about the relationship between levels of alcohol consumption and offending behaviour. The Alcohol Treatment Requirement (ATR) was introduced to the UK in 2007 and was piloted in a District in the north of England in July 2007. The ATR is a coercive form of treatment delivered jointly by the probation service and the National Health Service (NHS) and was funded by the NHS. The ATR centres on supporting offenders to cease their offending behaviour and reduce or end their alcohol misuse. Two female alcohol treatment workers have been appointed to specifically deliver the ATR. Therefore this study aimed to investigate the delivery of the ATR, and more specifically, aimed to explore what impact the ATR might have in relation to positive behaviour change and rehabilitation for offenders with alcohol problems. In order to meet the expectations of producing ¿outcome¿ data for the NHS funders, and indepth theoretical data worthy of an academic PhD, this research took a pragmatic methodological approach which enabled different social realities of the ATR to be explored. To this end, a mixed methods design was employed involving quantitative and qualitative data collection methods. The data for this research was generated in three phases with Phase One aiming to explore quantitatively the characteristics, impacts and outcomes of those sentenced to the ATR. This phase revealed that the ATR is being delivered to predominantly young, male, alcohol dependent, violent, persistent offenders. This analysis further revealed that the ATR was effective in bringing about positive treatment outcomes and in reducing reoffending. In order to explore further how this positive change was occurring, Phase Two consisted of qualitative participant observations of the treatment interaction involving the female alcohol treatment workers and the male offenders. By drawing on positioning theory, the analysis considered the complexity of the gendered interactions that occurred during these encounters. It was found that the two female alcohol treatment workers resisted positions of ¿feminine carer¿ offered up by these young men in order to occupy positions of control. Indeed this analysis provided great insight into the constant flow of negotiations and manoeuvring of positions that occurred between the alcohol treatment worker and the offender, argued to be vitally important in working towards positive behaviour change. During Phase Three ten offenders were interviewed in order to explore through a dialogical lens (Bakhtin, 1982) how they constructed and experienced treatment on the ATR. In exploring the offenders¿ stories dialogically, the analysis highlighted how the ATR was enabling, in that it offered a ¿space¿ for these offenders to engage and internalise a dialogue that draws on the authoritative voice of therapy. Therefore it was revealed that through dialogue with the ¿other¿, offenders were able to re-author a more ¿moral¿ and ¿worthy¿ self. Moreover, the ATR has been found to be successful in enabling the offenders¿ hegemonic masculine identities to be both challenged and protected as a result of the multilayered interactions that occurred during these treatment encounters. This research therefore concludes that coercive treatment, rather than being a concern, should be embraced as a way of enabling change for offenders with alcohol problems. Furthermore, this research has highlighted the value of the relational aspect of treatment in bringing about positive behaviour changes. Finally this research has shown that community sentences offer a more constructive way of engaging with offenders than those who receive a custodial sentence.

<p dir="ltr">Topological Data Analysis (TDA) with its roots embedded in the field of algebraic topology has successfully found its applications in computational biology, drug discovery, machine learning and in many diverse areas of science. One of its cornerstones, persistent homology, captures topological features latent in the data. Recent progress in TDA allows us to integrate these finer topological features into traditional machine learning and deep learning pipelines. However, the utilization of topological methods within a conventional deep learning framework remains relatively uncharted. This thesis presents four scenarios where computational topology tools are employed to advance machine learning.</p><p dir="ltr">The first one involves integrating persistent homology to explore high-dimensional cytometry data. The second one incorporates Extended persistence in a supervised graph classification framework and demonstrates leveraging TDA in cases where data naturally aligns with higher-order elements by extending graph neural networks to higher-order networks, applied specifically in non-manifold mesh classification. The third and fourth scenarios delve into enhancing graph neural networks through multiparameter persistence.</p>

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In the last decade, the landscape of storage hardware and software has changed considerably. Storage hardware has diversified from hard disk drives and solid state drives to include persistent memory (PMEM) devices such as phase change memory (PCM) and Flash-backed DRAM. On the software side, the increasing adoption of cloud services for building and deploying consumer and enterprise applications is driving the use of cloud storage services. Cloud providers have responded by providing a plethora of choices of storage services, each of which have unique performance characteristics and pricing. We argue this variety represents an opportunity for modern storage systems, and it can be leveraged to improve operational costs of the systems. We propose that storage tiering is an effective technique for balancing operational or de- ployment costs and performance in such modern storage systems. We demonstrate this via three key techniques. First, THMCache, which leverages tiering to conserve the lifetime of PMEM devices, hence saving hardware upgrade costs. Second, CAST, which leverages tiering between multiple types of cloud storage to deliver higher utility (i.e. performance per unit of cost) for cloud tenants. Third, we propose a dynamic pricing scheme for cloud storage services, which leverages tiering to increase the cloud provider's profit or offset their management costs. / Master of Science / Storage and retrival of data is one of the key functions of any computer system. Improvements in hardware and software related to data storage can help computer users store (a) store the data faster, which makes for overall faster performance; and (b) increase the storage capacity, which helps store the increasing amount of data generated by modern computer users. Typically, most computers are equipped with either a hard disk drive (HDD) or, the newer and faster, solid state drive (SSD) for data storage. In the last decade however, the landscape of data storage hardware and software has advanced considerably. On the hardware side, several hardware makers are introducing persistent memory (PMEM) devices, which provide very high speed, high capacity storage at reasonable price points. On the software side, the increasing adoption of cloud services by software developers that are building and operating consumer and enterprise applications is driving the use of cloud storage services. These services allow the developers to store a large amount of data without having to manage any physical hardware, paying for the service on a usage-based pricing structure. However, every application’s speed and capacity needs are not the same; hence, cloud service providers have responded by providing a plethora of choices of storage services, each of which have unique performance characteristics and pricing. We argue this variety represents an opportunity for modern storage systems, and it can be leveraged to improve the operating costs of the systems. Storage tiering is a classical technique that involves partitioning the stored data and placing each partition in a different storage device. This lets the applications use mulitple devices at once, taking advantage of each’s sterngths and mitigating their weaknesses. We propose that storage tiering is a relevant and effective technique for balancing operational or deployment costs and performance in modern storage systems such as PMEM devices and cloud storage services. We demonstrate this via three key techniques. First, THMCACHE, which leverages tiering between multiple types of storage hardware to conserve the lifetime of PMEM devices, hence saving hardware upgrade costs. Second, CAST, which leverages tiering between multiple types of cloud storage services to deliver higher utility (i.e. performance per unit of cost) for software developers using these services. Third, we propose a dynamic pricing scheme for cloud storage services, which leverages tiering between multiple cloud storage services to increase the cloud service provider’s profit or offset their management costs.

The Parkinsonian Syndrome-inducing effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) on the body have been well-documented since its discovery. However, its mechanism of oxidation by monoamine oxidase B (MAO B) has been debated for just as long. Proponents of the single electron transfer (SET) pathway of oxidation faced severe critiques in that the hypothesized radical intermediates arising from the SET pathway were never directly observed. Work performed herein provides that exact evidence using biomimetics of MAO B. The first section of the dissertation will highlight the ability of one such biomimetic, 3-methyllumiflavin (3MLF), to provide a chemical model for the oxidation of -unsaturated tetrahydropyridines. Using a nontoxic analog of MPTP, 1-methyl-4-(1-methyl-1-H-pyrrol-2-yl)-1,2,3,6-tetra-hydropyridine (MMTP), reactions with 3MLF were performed under both aerobic and anaerobic conditions. The anaerobic studies of these reactions proved to be the key to the direct observations (by 1H NMR and EPR) of flavin-derived radical behavior. Armed with the knowledge of how to prepare reactions for the direct observation of flavin radical intermediates, studies of N-cyclopropyl substrate derivatives were subsequently conducted to gather evidence for the formation of radical substrate intermediates. If the hypothesized SET is the first step of the reaction mechanism, then the resulting aminyl radical cation could undergo a cyclopropyl ring opening. Several products derived from the substrate were observed; among them were ring-opened variations suggesting that the reaction does begin with a SET. Thermodynamically, this process is unfavorable, leading to the hypothesis that this reaction step may be better described as a proton-coupled electron transfer (PCET). The kinetics of this process were studied at length. Finally, to provide a more compelling argument for the fundamental reactivities, two other flavin biomimetics are investigated. Their reactions with tetrahydropyridines were put under the same scrutiny as 3MLF, leading to the conclusion that the chemistry discussed herein is not unique to 3MLF, but is much more broadly applicable to other flavin biomimetics and MAO B. / Doctor of Philosophy / First reported in 1982, Parkinsonian Syndrome related to the injection of the designer drug meperidine was linked to an impurity in the drug, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine, MPTP. That compound was able to be oxidized in the brain by the enzyme monoamine oxidase B (MAO B) to form the neurotoxin 1-methyl-4-phenylpyridinium (MPP+). For many years, the way that oxidation occurred remained a mystery as MPTP is chemically very different than typical substrates of MAO B. One type of reaction, single electron transfer (SET), which involves the production of high-energy intermediates called radicals, was largely overlooked as it seemed chemically implausible, especially in a biological system. This dissertation will focus on providing evidence for the SET oxidation of MPTP-like molecules using a class of compounds called flavins. Flavins are biomimetics of MAO B, meaning they behave in reaction vessels the same way that MAO B behaves biologically. Evidence for the SET pathway comes primarily in two forms: nuclear magnetic resonance (1H NMR) and electron paramagnetic resonance (EPR). Each of these techniques allow us to "see" exactly what species are present in solution. In the case of 1H NMR, we will be able to see the "normal" molecules, while EPR allows us to see the high energy radical species in solution. Using these techniques, several substrate and flavin analogs were investigated to uncover a universal reaction mechanism by which MPTP and related compounds are oxidized by MAO B.

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Les techniques d'interférométrie sur réflecteurs persistants, ou points stables (PSI), sont des outils particulièrement efficaces pour le suivi des déformations du sol et offrent les avantages typiques des systèmes de télédétection radar à synthèse d'ouverture (RSO) : une large couverture spatiale combinée à une résolution relativement élevée. Ces techniques sont basées sur l'analyse d'un jeu d'images RSO acquises sur une zone donnée. Elles permettent de régler le problème de décorrélation grâce à l'identification d'éléments particuliers (au sein de la cellule de résolution) dont la rétrodiffusion radar est de haute qualité et stable sur toute une série d'interférogrammes. Ces techniques sont fort efficaces (utiles ?) pour l'analyse de zones urbaines où les constructions constituent de bons réflecteurs avec une réflexion supérieure à celle du sol ; il en va de même pour des zones de campagne où la densité d'infrastructures est plus limitée. La technique PSI requiert un modèle temporel approximatif a priori pour la détection des déformations, bien que la caractérisation de l'évolution temporelle de la déformation soit communément l'un des objectifs des études. Le travail réalisé porte sur une technique PSI particulière, appelée Stable Point Network (SPN), Réseau de Points Stables, qui a été totalement développée par Altamira Information en 2003. Le travail présente de manière concise les caractéristiques de la technique et décrit les principaux produits générés : carte moyenne de déformation, séries temporelles de déformation des points mesurés, et les cartes de résidu d'erreur topographique utilisées pour géocoder de façon précise les produits PSI. Le principal objectif de cette thèse est l'identification et l'analyse des points faibles de la chaîne de traitement SPN et le développement de nouveaux outils et méthodologies pour résoudre les problèmes identifiés. Dans un premier temps, les performances de la technique SPN sont examinées et illustrées sur des cas pratiques (basés sur des sites test réels et à partir de données provenant de différents capteurs) et à l'aide de simulations. Les principaux points faibles de la technique sont identifiés et commentés, notamment le manque de paramètres automatiques de contrôle qualité, l'évaluation de la qualité des données d'entrée, la sélection de bons points pour la mesure ainsi que l'utilisation d'un modèle fonctionnel pour le déroulement de phase (franges interferometriques) basé sur une tendance linéaire de la déformation dans le temps. Différentes solutions sont ensuite envisagées. Nous nous intéressons tout particulièrement au contrôle qualité automatique dans la procédure de coregistration, en utilisant l'analyse du positionnement inter-pixel de certains points naturels, comme par exemple des pixels identifiés dans les images. L'amélioration de la sélection finale des points de mesure (carte PSI) s'obtient grâce à l'analyse de la signature du signal radar des cibles les plus puissantes présentes au sein de l'image, afin de sélectionner uniquement le centre du lobe principal du point de mesure. D'autres développements apportent plus de robustesse dans des étapes clefs, ainsi l'analyse du rotationel des estimations en lien étroit avec un réseau de mesures relatives, ou l'implémentation d'une méthodologie différente pour l'intégration qui peut être lancée en parallèle afin d'être comparée avec l'intégration classique. Enfin le principal inconvénient de la technique, c'est-à-dire l'utilisation d'un modèle linéaire de détection des déformations du sol fait l'objet d'un développement d'une nouvelle méthode d'ajustement qui permet des changements de tendance durant la période de temps considérée(...) / Persistent Scatterer Interferometric techniques are very powerful geodetic tools for land deformation monitoring that offer the typical advantages of the satellite remote sensing SAR (Synthetic Aperture Radar) systems : a wide coverage at a relatively high resolution. Those techniques are based on the analysis of a set of SAR images acquired over a given area. They overcome the decorrelation problem by identifying elements (in resolution cells) with a high quality returned SAR signal which remains stable in a series of interferograms. These techniques have been useful for the analysis of urban areas, where man-made objects produce good reflections that dominate over the background scattering, as well as in field areas where the density of infrastructures is more limited. Typically, PSI technique requires an approximate a priori temporal model for the detection of the deformation, even though characterizing the temporal evolution of a deformation is commonly one of the objectives of any study.This work is focused on a particular PSI technique, which is named Stable Point Network (SPN) and that it has been completely developed by Altamira Information in 2003. The work concisely outlines the main characteristics of this technique, and describes its main products: average deformation maps, deformation time series of the measured points, and the so-called maps of the residual topographic error, which are used to precisely geocode the PSI products. The main objectives of this PhD are the identification and analysis of the drawbacks of this processing chain, and the development of new tools and methodologies in order to overcome them. First, the performances of the SPN technique are examined and illustrated by means of practical cases (based on real test sites made with data coming from different sensors) and simulated scenarios.Thus, the main drawbacks of the technique are identified and discussed, such as the lack of automatic quality control parameters, the evaluation of the input data quality, the selection of good points for the measurements and the use of a functional model to unwrap the phases based on a linear deformation trend in time. Then, different enhancements are proposed. In particular, the automatic quality control of the coregistration procedure has been introduced through the analysis of the inter-pixel position of some natural point targets-like pixels identified within the images. The enhancements in the selection of the final points of measurements (the final PSI map) come by means of the analysis of the SAR signal signature of the strong targets presented within the image, in order to select only the center of the main lobe as point of measurement. The introduction of robustness within some critical steps of the technique is done by means of the analysis of the rotational of the estimates in close loops within a network of relative measurements, and by means of the implementation of a different integration methodology, which can be ran in parallel in order to compare it with the classical one. Finally, the main drawback of the technique, the use of a linear model for the detection of ground deformations, is addressed with the development of a new fitting methodology which allows possible change of trends within the analyzed time span. All those enhancements are evaluated with the use of real examples of applications and with simulated data. In particular, the new methodology for detecting non-linear ground deformations has been tested in the city of Paris, where a large stacking of ERS1/2 and ENVISAT SAR images are available. Those images are covering a very large time period of analysis at where some known non-linear ground deformations where occurring

Approved for public release; distribution is unlimited / Reissued 30 May 2017 with correction to degree on title page. / The thesis argues that the Maoist-led government in post-insurgency Nepal has failed to deliver on the promises of reform that brought it to power. The long-enduring social and economic grievances based on the Nepali Hindu social structure persist. Starting in 1996, the Maoists successfully capitalized on such grievances, and with the promise of radical reforms, led a decade-long successful insurgency. A political negotiation incorporating major Maoist demands ended the insurgency in 2006. The electoral victory right after the end of the insurgency provided the Maoists with the mandate and opportunity to reform traditional socio-economic and political structure. Unfortunately, the post-2006 period is seeing an emergence of political instability akin to the post-1991 era. This thesis examines the state of reforms in post-insurgency Nepal to identify the gaps between the promises made and the reforms implemented that are causing ongoing grievances. The thesis also highlights the importance of the coalition culture in producing political stability to eliminate persistent grievances and implement reforms for the future stability of Nepal. / Lieutenant Colonel, Nepalese Army