VictorJuiz/thesis huggingface dataset:
Chronic Hepatitis C Viral Infection: Natural History and Treatment Outcomes in Substance Abusers
Keywords: hepatitis C
substance abuse

Hepatitis C is the most common blood-borne viral illness in the North America. Chronic hepatitis C infection may lead to cirrhosis of the liver, liver failure and liver cancer. In North America, injection drug use is the most important risk factor for infection and substance abusing populations are disproportionately affected by the disease. Antiviral therapy exists and approximately 50% of infected individuals can be cured. The aim of this thesis was to provide information to help clinicians and policy-makers minimize the impact of hepatitis C in substance abusers. The thesis is comprised of three studies. The first assessed the rate of progression to cirrhosis for those acquiring infection through injection drug use, using a meta-analysis of 44 studies from the published literature. We estimated that fibrosis progression occurs at a rate of 8.1 per 1000 person-years (95% Credible Region (CR), 3.9 to 14.7) corresponding to a 20-year cirrhosis prevalence of 14.8% (95% CR, 7.5 to 25.5). The second study measured the association between successful antiviral therapy and quality of life. We demonstrated that sustained responders to therapy had higher scores on the hepatitis-specific Medical Outcomes Survey Short-Form-36 (SF-36), Health Utilities Index Mark 2/3 (HUI2/3), and time-tradeoff (TTO) than treatment failures, an average of 3.7 years following antiviral therapy. The third study assessed rates of adherence to antiviral therapy and rates of sustained response in current or former iii substance abusers on methadone maintenance. We demonstrated that while use of illicit substances prior to therapy negatively affected adherence, rates of sustained response were comparable to non-substance abusing populations. Our work indicates the future burden of disease in current and former substance abusers, demonstrates that antiviral therapy can be successful in this population, and indicates that the benefits of successful therapy may extend beyond decreased disease burden to improved quality of life.
Radical Intimacies: Affective Potential and the Politics of Love in the Transatlantic Sex Reform Movement, 1900-1930
Keywords: gender
sexuality

This dissertation explores the transatlantic shaping of the early twentieth century sex reform movement as a pivotal moment in the history of affect. I focus on a set of influential white middle class British and American radical intellectuals who emphasized emotions, instincts, and energies as transformative forces that could politically, socially, and materially alter the world. Crucially, this dissertation shifts historical attention on this period as a watershed in sexual practices toward the lens of a politics of love that informed sex reformers' construction of discourses and practices. I argue that sex reformers' politics of love amounted to the emergence of new registers of organizing bodies along the lines of gender, race, class, and sexuality by differentiating these bodies in terms of what I call their affective potential to achieve love. By examining the sex reform movement through this lens of a politics of love, I highlight the multiple ways that sex reformers radicalized the domain of intimacy as an arena of intense concern in matters of both social and political organization as well as ontological questions of spiritually and ecologically relating to the world. Each of this dissertation's chapters aims to take the reader on a journey thorugh the multiple worlds that took shape as sex reformers looked to develop scientific, spiritual, social, political, and economic strategies to engineer relationships defined by love. This journey spatially and temporally situates sex refomers' bodies as affective compasses that moved through and constructed historically specific worlds out of Darwinian maps of cities and nations, bohemian living arrangements, 'modern' schools and playgrounds, Edenic gardens, plant breeding and animal sex research laboratories, and imagined eugenic utopias of future species and races.
Examining the Impact of a Human-Tech Framework for Understanding Technology Integration in Teacher Education
Keywords: Educational technology
Teacher education
Design research
Human-Tech
Cognitive Work Analysis
Online learning

This research examines on the importance of considering context as design criteria for technology integration and technology design, and in particular, what that means for teacher education. While others (Fishman, Marx, Blumenfeld, Krajcik, & Soloway, 2004) have broadly considered context as a factor in supporting technology integration, this current research uses a Human-Tech framework (Vicente, 2003) to identify and examine the implications of individual contextual constraints for the design of technology-enhanced learning; therefore, the researcher begins to answer the important - and arguably unexplored - question of how the complexities of varying contexts ought to be used to inform design. Broadly, this design research study explores the impact of using a Human-Tech framework for understanding technology integration in education and specifically, to inform the design of technology-enhanced learning practices in the context of teacher education. Further, the research reports on the impact of an open online research support forum - designed using a Human-Tech framework - on the experiences of teacher candidates while carrying out classroom-based research as part of their initial teacher education program. Overall, results of the research study suggest that using a Human-Tech framework for understanding technology integration was helpful in supporting a broader and more systematic approach to designing for more effective use of technology in the context of teacher education. In terms of the design of the open online research support forum, findings suggest that there were key Organizational constraints that likely continued to have a limiting impact on the innovations across the two-year design study. Therefore, this research also points to future technology-specific and non technology-specific design strategies which may have implications for technology integration, and fulfilling the functional purposes of the program more broadly.
Effectiveness of Specialized Palliative Care for Patients with Advanced Cancer
Keywords: palliative care
cancer
quality of life
randomized controlled trial

Despite the rapid development of palliative care teams, evidence for their effectiveness in oncology care is lacking. This thesis reviews and contributes towards this evidence, focusing on the randomized controlled trial as a research method. We conducted a systematic review of 22 trials reviewed that measured effectiveness of specialized palliative care. Family satisfaction with care improved in seven of 10 studies, but only four of 13 trials assessing quality of life and one of 14 assessing symptoms showed a benefit of the intervention. Conclusions were limited by methodologic problems in all of the trials. We conducted a phase II study of the efficacy of a palliative care team for symptom control and satisfaction of 150 patients with advanced cancer. Symptom severity (Edmonton Symptom Assessment System Distress Score) improved at one week and one month, as did patient satisfaction (all p<0.0001). We investigated factors associated with symptom severity and response for patients enrolled in the phase II study. Symptoms at baseline were worse for women and those with worse performance status (both p<0.005); female gender and worse baseline symptom severity independently predicted symptom improvement (both p<0.05). We planned and initiated an RCT of the effectiveness of an early palliative care intervention for improvement of health-related quality of life (HRQL) and satisfaction with care. Using baseline data from this RCT, we examined factors associated with HRQL in patients with advanced cancer. The strongest determinants of overall HRQL (combined FACT-G total score and FACIT-Sp Meaning and Peace subscore) were increased age (p<0.001), good performance status (p<0.001) and survival time >6 months (p=0.001). Compared to patients receiving cancer treatment, those awaiting new treatment had worse emotional well-being (p<0.001) while those on surveillance or whose treatment had been stopped had worse existential well-being (p=0.03). Male gender predicted better emotional and physical well-being and lower income predicted worse social well-being. Lastly, we developed recommendations for those planning an RCT in a palliative care population, incorporating information from the studies presented. Although such RCTs are challenging to conduct, they are feasible and necessary to improve the evidence base for the treatment of patients with advanced cancer.
Summarizing Spoken Documents Through Utterance Selection
Keywords: speech
summarization

The inherently linear and sequential property of speech raises the need for ways to better navigate through spoken documents. The strategy of navigation I focus on in this thesis is summarization, which aims to identify important excerpts in spoken documents. A basic characteristic that distinguishes speech summarization from traditional text summarization is the availability and utilization of speech-related features. Most previous research, however, has addressed this source from the perspective of descriptive linguistics, in considering only such prosodic features that appear in that literature. The experiments in this dissertation suggest that incorporating prosody does help but its usefulness is very limited—much less than has been suggested in some previous research. We reassess the role of prosodic features vs. features arising from speech recognition transcripts, as well as baseline selection in error-prone and disfluency-filled spontaneous speech. These problems interact with each other, and isolated observations have hampered a comprehensive understanding to date. The effectiveness of these prosodic features is largely confined because of their difficulty in predicting content relevance and redundancy. Nevertheless, untranscribed audio does contain more information than just prosody. This dissertation shows that collecting statistics from far more complex acoustic patterns does allow for estimating state-of-the-art summarization models directly. To this end, we propose an acoustics-based summarization model that is estimated directly on acoustic patterns. We empirically determine the extent to which this acoustics-based model can effectively replace ASR-based models. The extent to which written sources can benefit speech summarization has also been limited, namely to noisy speech recognition transcripts. Predicting the salience of utterances can indeed benefit from more sources than raw audio only. Since speaking and writing are two basic ways of communication and are by nature closely related to each other, in many situations, speech is accompanied with relevant written text. Richer semantics conveyed in the relevant written text provides additional information over speech by itself. This thesis utilizes such information in content selection to help identify salient utterances in the corresponding speech documents. We also employ such richer content to find the structure of spoken documents—i.e., subtopic boundaries—which may in turn help summarization.
On Computational Methods for the Valuation of Credit Derivatives
Keywords: Computational Methods
Credit Derivatives
Factor Copula Models
First Hitting Time Model

A credit derivative is a financial instrument whose value depends on the credit risk of an underlying asset or assets. Credit risk is the possibility that the obligor fails to honor any payment obligation. This thesis proposes four new computational methods for the valuation of credit derivatives. Compared with synthetic collateralized debt obligations (CDOs) or basket default swaps (BDS), the value of which depends on the defaults of a prescribed underlying portfolio, a forward-starting CDO or BDS has a random underlying portfolio, as some ``names'' may default before the CDO or BDS starts. We develop an approach to convert a forward product to an equivalent standard one. Therefore, we avoid having to consider the default combinations in the period between the start of the forward contract and the start of the associated CDO or BDS. In addition, we propose a hybrid method combining Monte Carlo simulation with an analytical method to obtain an effective method for pricing forward-starting BDS. Current factor copula models are static and fail to calibrate consistently against market quotes. To overcome this deficiency, we develop a novel chaining technique to build a multi-period factor copula model from several one-period factor copula models. This allows the default correlations to be time-dependent, thereby allowing the model to fit market quotes consistently. Previously developed multi-period factor copula models require multi-dimensional integration, usually computed by Monte Carlo simulation, which makes the calibration extremely time consuming. Our chaining method, on the other hand, possesses the Markov property. This allows us to compute the portfolio loss distribution of a completely homogeneous pool analytically. The multi-period factor copula is a discrete-time dynamic model. As a first step towards developing a continuous-time dynamic model, we model the default of an underlying by the first hitting time of a Wiener process, which starts from a random initial state. We find an explicit relation between the default distribution and the initial state distribution of the Wiener process. Furthermore, conditions on the existence of such a relation are discussed. This approach allows us to match market quotes consistently.
Implementation and Evaluation of a Chinese Language Family Literacy Program: Impact on Young Children's Literacy Development in Chinese and English
Keywords: family literacy
early childhood education
Chinese
early literacy development
Early Chinese literacy development
Early English literacy development

Previous research on family literacy in North America has generally been conducted in English, even if the program targets English for speakers of other languages. However, the differences in English proficiency among parent participants may vary enormously in ways that are not easily predictable. In addition to the differences in parent participants’ English proficiency and their concept and experience of instruction, parents from diverse cultural backgrounds also have differences in parental beliefs, parental roles in supporting educational achievement and communicating with the school. All these differences make the provision of family literacy programs which target minority families as one group a challenging endeavor, both in program design and implementation. This study investigated the potential learning outcomes when a family literacy program with language supports were provided to Chinese immigrant families. An eight-week (two hours per week) literacy program was implemented in three Chinese community centers in Ontario, Canada. The overall objectives of the study were to provide a Chinese family literacy program in the Chinese community using Chinese as the language of instruction, and to evaluate the impact of this culturally related family literacy program in terms of children’s gains in both English and Chinese. This study has shown that a family literacy intervention, adapted for use with Chinese preschoolers and their parents, can have a significant and positive impact on children’s literacy development in both English and Chinese. This study found that children’s expressive vocabulary (both in English and in Chinese) improved as a result of the intervention. Children’s knowledge of the alphabet and their ability to produce letter-sounds improved significantly more if their parents participated in the intervention. Further, it was shown that specific home literacy environments in Chinese and in English are related to children’s literacy development in both languages. In Chinese, the number of Chinese reading materials in the home had the greatest impact on children’s Chinese receptive and expressive vocabularies. In English, the age at which the child was first read to in English had the greatest impact on children’s English expressive vocabularies, their letter-sound production knowledge, and their early reading ability. The study has shown that the provision of culturally and linguistically appropriate family literacy support goes a long way in helping diverse families to foster optimal literacy experiences for their young children at home.
Life Cycle Environmental and Cost Evaluation of Bioenergy Systems
Keywords: Civil Engineering

Energy derived from biomass has been proposed as a means to attain various environmental, economic and social goals. However, bioenergy production and utilization may also result in undesirable environmental and social consequences. This thesis investigates, from a life cycle perspective, environmental and cost implications of near-term bioenergy applications in the transportation and electricity sectors. Key tradeoffs related to the attributes of the systems are elucidated. Three case studies are conducted to consider the site-specific nature of bioenergy systems. The first two studies analyze the environmental and cost implications of displacing coal with biomass for electricity generation in Ontario’s coal generating stations. The third study examines implications of replacing gasoline with ethanol for use in California’s light-duty vehicle fleet to meet the State’s Low Carbon Fuel Standard (LCFS). The Ontario studies show that, relative to coal-based electricity generation, electricity generated from co-firing 10% (energy input) biomass with coal reduces greenhouse gas (GHG) emissions by 8% at a cost of $22/tonne CO2 equivalent for agricultural residues ($50/dry tonne residues delivered), and by 9% at a cost of $70-$84/tonne CO2 equivalent for wood pellets ($160/tonne pellets delivered), on the basis of one kWh of electricity generated (all costs are in U.S. dollars). One hundred percent pellet firing reduces GHG emissions by 91% compared to the coal system; however, the cost of GHG reduction is $99-$106/tonne CO2 equivalent. Displacing a portion of gasoline with ethanol is a feasible option to meet California’s LCFS, which calls for a 10% carbon intensity reduction of the State’s transportation fuels by 2020. Assuming current production methods and an indirect land use change effect of 30 g CO2/MJ, average Midwest corn ethanol is ruled out as an option to meet the LCFS. Using lignocellulosic ethanol to meet the LCFS is more attractive than using Brazilian sugarcane ethanol due to lower direct agricultural land requirement, dependence on imported energy, projected ethanol cost, required refuelling infrastructure modifications, and penetration of flexible fuel E85 vehicles. The thesis demonstrates that a life cycle approach is useful for analyzing and comparing different bioenergy applications, and providing insights into tradeoffs necessary in decision making for the development of next generation energy systems.
Automated Segmentation of Head and Neck Cancer Using Texture Analysis with Co-registered PET/CT images
Keywords: Biophysics
Medical

Radiation therapy is often offered as the primary treatment for head and neck cancer(HNC). Accurate target delineation is essential for the success of radiation therapy. The current target definition technique - manual delineation using Computed Tomography(CT) - is subject to high observer variability. Functional imaging modalities such as 2-[18F]-fluoro-2-deoxy-D-glucose Positron Emission Tomography(FDG-PET) can greatly improve the visualization of tumor. FDG-PET co-registered with CT has shown potential to improve the accuracy of target localization and reduce observer variability. Unfortunately, due to the limitation of PET, the degree of improvement obtained by qualitative and simple quantitative (e.g. thresholding) use of FDG-PET is not ideal. However, both PET and CT images contain a wealth of texture information that could be used to improve the accuracy of target definition. This thesis has investigated using texture analysis techniques to automatically delineate radiation targets. Firstly, PET and CT texture features with high discrimination ability were identified and a texture analysis technique- a decision tree based K Nearest Neighbour(DTKNN) classifier – was developed. DTKNN could accurately classify head and neck tissue with an area under curve(AUC) of a Receiver Operator Characteristic(ROC) of 0.95. Subsequently, an automated target delineation technique - CO-registered Multi-modality Pattern Analysis Segmentation System(COMPASS) - was developed that can delineate tumor on a voxel-by-voxel basis. COMPASS was found to accurately delineate HNC with 84% sensitivity and 95% specificity on a voxel basis per patient. To accurately evaluate the utility of the COMPASS in radiation targeting, a validation method which can combine biased observers' contours to generate a probabilistic reference for validation was developed. The method was based on maximum likelihood analysis using a simulated annealing(SA) algorithm. The results from this thesis show that texture features of both PET and CT images can enhance the discrimination between HNC and normal tissue, and an automated delineation method of HNC using texture analysis of PET and CT images can accurately and consistently define radiation targets in head and neck. This suggests that automated segmentation of radiation targets based on texture analysis techniques may significantly reduce observer variability and improve the accuracy of radiation targeting.
Laboratory Simulation of Reservoir-induced Seismicity
Keywords: reservoir-induced seismicity
pore pressure oscillation

Pore pressure exists ubiquitously in the Earth’s subsurface and very often exhibits a cyclic loading on pre-existing faults due to seasonal and tidal changes, as well as the impoundment and discharge of surface reservoirs. The effect of oscillating pore pressure on induced seismicity is not fully understood. This effect exhibits a dynamic variation in effective stresses in space and time. The redistribution of pore pressure as a result of fluid flow and pressure oscillations can cause spatial and temporal changes in the shear strength of fault zones, which may result in delayed and protracted slips on pre-existing fractures. This research uses an experimental approach to investigate the effects of oscillating pore pressure on induced seismicity. With the aid of geophysical techniques, the spatial and temporal distribution of seismic events was reconstructed and analysed. Triaxial experiments were conducted on two types of sandstone, one with low permeability (Fontainebleau sandstone) and the other with high permeability (Darley Dale sandstone). Cyclic pore pressures were applied to the naturally-fractured samples to activate and reactivate the existing faults. The results indicate that the mechanical properties of the sample and the heterogeneity of the fault zone can influence the seismic response. Initial seismicity was induced by applying pore pressures that exceeded the previous maximum attained during the experiment. The reactivation of faults and foreshock sequences was found in the Fontainebleau sandstone experiment, a finding which indicates that oscillating pore pressure can induce seismicity for a longer period of time than a single-step increase in pore pressure. The corresponding strain change due to cyclic pore pressure changes suggests that progressive shearing occurred during the pore pressure cycles. This shearing progressively damaged the existing fault through the wearing of asperities, which in turn reduced the friction coefficient and, hence, reduced the shear strength of the fault. This ‘slow’ seismic mechanism contributed to the prolonged period of seismicity. This study also applied a material forecast model for the estimation of time-to-failure or peak seismicity in reservoir-induced seismicity, which may provide some general guidelines for short-term field case estimations.