VictorJuiz/thesis huggingface dataset:
The Hidden Curriculum of Online Learning: Discourses of Whiteness, Social Absence, and Inequity
Keywords: Online Learning
Whiteness
Cultural Hegemony
Socio-Cultural Learning

Local and federal governments, public school boards, and higher education institutions have been promoting online courses in their commitment to accommodating public needs, widening access to materials, sharing intellectual resources, and reducing costs. However, researchers of education needs to consider the often ignored yet important issue of equity since disregarding the issue of inequity in online education may create suboptimal consequences for students. This dissertation work, therefore, investigates the issues of social justice and equity in online education. I argue that equity is situated between the tensions of various social structures in a broader cultural context and can be thought of as a fair distribution of opportunities to participate. This understanding is built upon the idea that individuals have different values, goals, and interests; nevertheless, the online learning context may not provide fair opportunities for individuals to follow their own learning trajectories. Particularly, online learning environments can reproduce inequitable learning conditions when the context requires certain individuals to assimilate mainstream beliefs and values at the expense of their own identities. Since identifications have certain social and political consequences by enabling or constraining individuals’ access to educational resources, individuals may try to be identified in line with culturally-hegemonic perspectives in order to gain or secure their access to educational resources or to legitimize their learning experiences. In this interview study, I conceptualize online courses within their broader socio-historical context and analyze how macro-level social structures, namely the concept of whiteness, can reproduce inequity in micro-level online learning practices. By questioning who has control over the conditions for the production of knowledge, values, and identification, I investigate how socially accepted bodies of thoughts, beliefs, values, and feelings that give meaning to individuals’ daily-practices may create inequitable learning conditions in day-to-day online learning practices. In specific, I analyze how those who are identified as non-White experience “double-bind” with respect to stereotypification on one hand, anonymity on the other. Building on this analysis, I illustrate how those who are identified as non-White have to constantly negotiate their legitimacy and right to be in the online environment.
The Social and Historical Construction of Black Bermudian Identities: Implications for Education
Keywords: identity
Bermuda
education

This dissertation looks at the historical and social construction of Black Bermudian identities, and how identities have been shaped in contemporary Bermuda by its education system. I grapple with, and attempt to make sense of the complexities, messiness, ambiguity, disappointments, and painful reality of Black Bermudians’ identity and cultural dynamics. It is necessary to have a total understanding of identity and its connections not only to enslavement and colonization but also the rest of the Caribbean and Africa. The present understanding creates an amputated sense of self. Through the use of three concepts: Afrocentricity, Anti-colonialism and creolization, this dissertation seeks to reunify Bermuda with the rest of the Caribbean and Africa by moving Bermuda from the peripheral of international discourses to the larger and broader discussions on African-diasporic identity. It is through the synthesis of these theories that Black Bermudian identities and how Black Bermudians self-identify are understood through their various forms of resistance to dominant narratives. The dissertation also proposes a re-examination of the role of schooling and education—through teaching curriculum, texts and pedagogical practices—in producing a particular narrative of Black identity and the implications of such knowledge in constructing Blackness in Bermuda. The dissertation note that dominant forms of knowledge and epistemological orientation can shape the way Black Bermudians tend to understand themselves in relations to their history, culture, values, worldviews, and identity. Consequently, a fragmented self or what Frantz Fanon refers to as "amputation" is produced within Bermudian classrooms. The dissertation concluded with four key steps that are essential for Black Bermudians to re-engage through counter-hegemonic knowledge that is rooted in Anti-colonial, Creolization, and Afrocentric discourses and theories.
MR-Guided Assessment and Management of Ventricular Tachycardia
Keywords: Magnetic Resonance Imaging (MRI)
Ventricular tachycardia
Electrophysiology
myocardial infarction
Diagnostic imaging
Gray zone
Myocardial fibrotic scar
Intracardiac electrical signal
Multicontrast late enhancement (MCLE)

This thesis describes the electrical and physiological characterization of cardiac tissue with myocardial infarction (MI) responsible for abnormal cardiac rhythms such as ventricular tachycardia (VT), using a newly-developed magnetic resonance imaging (MRI) electrophysiology system. In electrophysiology (EP), radiofrequency (RF) catheter ablation combined with cardioverter-defibrillator implantation is a first-line action to manage ventricular VT. Unfortunately, this therapy is known to have sub-optimal success rates in a large number of patients because of difficulties to accurately identifying the arrhythmic target regions. Currently, characterization of post-MI scars is performed by using catheters to measure electrical signals of the endocardial tissue (electroanatomical mapping), under x-ray fluoroscopy guidance. Prolonged radiation exposure to both the cardiologist and the patient have made the use of MRI extremely attractive; further, unlike x-ray imaging, MRI provides post-MI scars with direct visualization, characterization in three dimensions and the ability to visualize ablation lesions. Although recent research has focused on registration between pre-acquired MR images and electroanatomical maps, a potentially more useful approach is to use real-time MRI to directly locate and characterize potential arrhythmogenic regions during the EP procedure. A real-time MR-guided EP system was developed and validated to perform EP diagnostic procedures, such as mapping and pacing. In a series of animal studies, the system demonstrated the ability to use active catheter tracking and intra-procedural MR imaging to navigate to specific regions in the left ventricle and record intracardiac electrical signals. A study correlating myocardial fibrotic scar detected by multicontrast late enhancement (MCLE) MRI and electroanatomical voltage mapping demonstrated that MRI information (transmurality, tissue classification, and relaxation rate) can accurately predict areas of myocardial fibrosis identified with bipolar voltage mapping. Finally, MCLE-derived gray zone was shown to have a high correspondence to regions with a high proportion of abnormal intracardiac signals. The methods described in this thesis help advance the understanding of infarcted tissue responsible for ventricular tachycardia. Further studies are proposed to perform RF ablation lesions and correlate pre- and post-ablation tissue electrophysiological properties with MRI.
A Parallel Newton-Krylov-Schur Algorithm for the Reynolds-Averaged Navier-Stokes Equations
Keywords: computational fluid dynamics
turbulent flow
numerical algorithms
Newton-Krylov
Approximate- Schur preconditioner
parallel computations
SBP-SAT discretization

Aerodynamic shape optimization and multidisciplinary optimization algorithms have the potential not only to improve conventional aircraft, but also to enable the design of novel configurations. By their very nature, these algorithms generate and analyze a large number of unique shapes, resulting in high computational costs. In order to improve their efficiency and enable their use in the early stages of the design process, a fast and robust flow solution algorithm is necessary. This thesis presents an efficient parallel Newton-Krylov-Schur flow solution algorithm for the three-dimensional Navier-Stokes equations coupled with the Spalart-Allmaras one-equation turbulence model. The algorithm employs second-order summation-by-parts (SBP) operators on multi-block structured grids with simultaneous approximation terms (SATs) to enforce block interface coupling and boundary conditions. The discrete equations are solved iteratively with an inexact-Newton method, while the linear system at each Newton iteration is solved using the flexible Krylov subspace iterative method GMRES with an approximate-Schur parallel preconditioner. The algorithm is thoroughly verified and validated, highlighting the correspondence of the current algorithm with several established flow solvers. The solution for a transonic flow over a wing on a mesh of medium density (15 million nodes) shows good agreement with experimental results. Using 128 processors, deep convergence is obtained in under 90 minutes. The solution of transonic flow over the Common Research Model wing-body geometry with grids with up to 150 million nodes exhibits the expected grid convergence behavior. This case was completed as part of the Fifth AIAA Drag Prediction Workshop, with the algorithm producing solutions that compare favourably with several widely used flow solvers. The algorithm is shown to scale well on over 6000 processors. The results demonstrate the effectiveness of the SBP-SAT spatial discretization, which can be readily extended to high order, in combination with the Newton-Krylov-Schur iterative method to produce a powerful parallel algorithm for the numerical solution of the Reynolds-averaged Navier-Stokes equations. The algorithm can efficiently solve the flow over a range of clean geometries, making it suitable for use at the core of an optimization algorithm.
Nicholai Kapustin's Eight Concert Etudes, Op. 40: Reflections on Analysis, Practice, and Performance
Keywords: Kapustin
Piano

Nicholai Kapustin (1937-), a Ukrainian composer whose music amalgamates the Western classical tradition with jazz idioms, is becoming increasingly acclaimed in recent years. His works are known for the physical challenge they impose upon the player due to their complexity that is often accompanied by fast tempi. No less formidable, however, is the challenge to discover the conceptual binding that is needed to capture the overarching sense of purpose within a given piece and communicate it in performance. One of the most effective approaches in performing Kapustin's music is to take advantage of the structure upon which his compositions are based, as it can allow a classically trained performer to utilize previously developed analytical skills. Although analytical study is an asset for virtually any type of music, the performance of Kapustin's music especially can benefit from analysis owing to its dense and active textures, rhythmic continuity, and varied repetition of relatively homogeneous melodic material. This research encourages regular involvement in analysis and internalizing the music away from the instrument. An analysis of Kapustin's Eight Concert Etudes, Op. 40 is provided along with the discussion of performance issues that are related to the analysis. These include solidifying the left hand (Etude No. 5), expressing characters through the varying rhythmic values of the melody and accents (Etude No. 6), and isolating various thematic components while simultaneously strengthening their inter-connections (Etudes Nos. 7 and 8). In addition, the research examines some of the psychological implications of analysis, exploring the ways in which analysis can help the performer to be attentive and engaged in the moment. Furthermore, in order to help one take pleasure from and fully benefit from analytical insights during practice, the research aims to cultivate a mindful mode of thinking where one steps away from constant action and becomes more curious and observant in the process of music-making. The conclusion addresses the physical aspect of playing, applying the notion of mindfulness to one's orientation to the instrument.
Membrane Protein Folding: Modulating the Interactions between Transmembrane Alpha-helices
Keywords: Membrane protein
TM alpha helices
Helix interactions
PLP
Proteolipid protein
Membrane
Bilayer
Detergent

The fundamental process by which an alpha-helical membrane protein attains its ultimate structure has previously been depicted as two energetically distinct stages where (1) the transmembrane (TM) segments are first threaded into the membrane bilayer as stable alpha-helices; and then (2) laterally interact to form the correct tertiary and/or quaternary structures. Central to the second stage of this model is the presence of amino acid sequence motifs in the TM segments that provide interaction-compatible surfaces through which the TM alpha-helices interact. Although these ideas have proven to be pivotal to the progress of the membrane protein folding field, a growing number of examples indicates that a variety of additional factors work together to dictate the ultimate interaction fate of TM embedded segments. In this context, we expand on these factors and explore other properties that can modulate the association of TM alpha-helices. A peptide model of myelin proteolipid protein (PLP) TM4 is capable of TM helix-helix interactions in SDS and biological membranes. Increasing the side chain volumes of two disease relevant residues (Ala242 and A248) reduces peptide self-association, indicating that these sites mediate TM helix packing through van der Waals interactions. Examination of the PLP TM2 alpha-helix shows that it is also capable of self-association and that its dimeric state depends on the presence or absence of residues at its C-terminus. Specifically, this sensitivity was attributed to changes in local hydrophobicity; a decrease in hydrophobicity likely reduces detergent-peptide interactions, which disrupts peptide alpha-helicity and the effectiveness of a nearby interaction compatible surface. We take advantage of this finding to determine the feasibility of coupling helix-helix interactions to an external factor such as pH. Our results indicate that pH can indeed modulate the dimerization state of the TM2 peptide and does so through the change in protonation state of Glu88. Increasing our knowledge of the variables contributing to TM helix-helix interactions provides valuable insights into membrane protein folding and how mutations can compromise this process. This knowledge will allow us to expand our arsenal of approaches to counter membrane protein misassembly--and ultimately human disease.
Demand Forecast, Resource Allocation and Pricing for Multimedia Delivery from the Cloud
Keywords: Cloud Computing
Video-on-Demand
Prediction
Resource Allocation
Pricing
Distributed Algorithms
Bandwidth Reservation
Multimedia Delivery

Video traffic constitutes a major part of the Internet traffic nowadays. Yet most video delivery services remain best-effort, relying on server bandwidth over-provisioning to guarantee Quality of Service (QoS). Cloud computing is changing the way that video services are offered, enabling elastic and efficient resource allocation through auto-scaling. In this thesis, we propose a new framework of cloud workload management for multimedia delivery services, incorporating demand forecast, predictive resource allocation and quality assurance, as well as resource pricing as inter-dependent components. Based on the trace analysis of a production Video-on-Demand (VoD) system, we propose time-series techniques to predict video bandwidth demand from online monitoring, and determine bandwidth reservations from multiple data centers and the related load direction policy. We further study how such quality-guaranteed cloud services should be priced, in both a game theoretical model and an optimization model.Particularly, when multiple video providers coexist to use cloud resources, we use pricing to control resource allocation in order to maximize the aggregate network utility, which is a standard network utility maximization (NUM) problem with coupled objectives. We propose a novel class of iterative distributed solutions to such problems with a simple economic interpretation of pricing. The method proves to be more efficient than the conventional approach of dual decomposition and gradient methods for large-scale systems, both in theory and in trace-driven simulations.
Taking the (International) Rule of Law Seriously: Legality and legitimacy in United Nations Ad hoc Commissions of Inquiry
Keywords: Law
International Law
Human Rights

Contemporary ad hoc United Nations Commissions of Inquiry (UN COIs) operate during or in the aftermath of many of the world’s worst conflicts. Over the years they have met with mixed success, and a good deal of criticism, yet are thought to provide a vital and unique benefit. Today, that benefit is seen either as the promotion of accountability for criminal wrongdoing, where quasi-criminal inquiries investigate whether war crimes, crimes against humanity, or genocide has taken place; or, it is seen as laying the foundation for transitional justice reforms, whereby UN COIs map the social, political, legal and even economic landscape and provide “holistic” transitional justice recommendations. Yet despite these lofty goals and the perceived importance of UN COIs, there is very little research on UN COIs. That which does exist tends not to question their purposes or seriously interrogate their procedures; instead, it focuses on incremental measures to improve UN COIs’ processes and legal analyses. This dissertation seeks to provide the basis of a theoretical, principled approach to the creation and work of UN COIs, a normative platform upon which human rights monitoring methods can expand and a continuity of investigatory practice can develop. By treating UN COIs as legal bodies with legal obligations, this dissertation draws on Fuller’s conception of legality and the theory of “interactional law-making” to question the very purposes for which UN COIs are seen to exist and the procedures by which they operate. It finds that neither the holistic transitional justice purpose nor the quasi- criminal purpose is legally or practically tenable. Instead, UN COIs should operate as post-conflict bodies, and delve deeply into a relatively narrow aspect of a systemic problem. A commitment to legality and interactional law-making can also offer a curative to the most salient criticisms of UN COI procedures by improving the credibility, reliability, and impartiality – the legitimacy – of their operations and how they are created.
Brain Coordination Dynamics in Altered States of Consciousness in Children
Keywords: EEG phase synchrony
brain dynamics

The brain is a complex dynamic and self-organizing system. Normal brain function emerges from synchronized neuronal firing between local neurons which are integrated into large scale networks via white matter tracts. Normal brain function and consciousness arise from the continual integration and dissolution of neuronal networks, and this fluctuation in synchronization is termed variability. Brain electrical activity is recorded as local field potentials using electroencephalography (EEG). The phase synchrony and variability of EEG waveforms can be quantified. The healthy brain exhibits a relatively low degree of phase synchrony and a high degree of variability. Clinicians are interested in using a complex system approach to brain function to provide dynamic information on neuronal physiology and pathology not available by other evaluation methods. A common challenge in paediatric critical care is evaluation of the comatose child post brain injury. Coma and medical interventions confound the clinical examination making monitoring and prognostication of outcome difficult. Brain cells and white matter tracts are disrupted post injury altering the phase synchrony between neuronal networks. It is proposed in this thesis that the estimation of the variability in EEG phase synchrony can evaluate paediatric brain function. The EEG recordings of normal children and patients in coma post brain injury are used, in a series of studies, to test the main hypothesis that slow EEG wave brain states associated with brain injury have higher magnitudes of EEG phase synchrony and lower variability values than those of EEG waves associated with consciousness. Further, the effects of age, brain development brain and the effect of a conscious slow wave EEG state (hyperventilation) on phase synchrony and variability are evaluated. Results of the studies showed that EEG phase synchrony is increased in all slow wave states and is highest in comatose children with poor neurological outcome. Younger children’s brains have higher phase synchrony than older children. The variability of the EEG phase synchrony differentiates between the awake (higher values) and unconscious states (lower values). Physiologic models underlying EEG phase synchrony are discussed. The EEG phase synchrony and variability measures provide new insight into paediatric brain function.
The Politics of Population Health in Canada: Testing Provincial Welfare Generosity and Leftist Politics as Macro-social Determinants of Population Health
Keywords: politics
population health

This dissertation pools time-series and cross-section data among Canadian provinces to examine: (1) whether provincial welfare generosity (health, social services, and education expenditures), power resources and political parties (unions and left, centre, and right political parties), and political democracy (voter turnout and women in government) affects population health; (2) whether the effect of leftist politics channels through or combines with provincial welfare generosity to affect population health; and (3) whether provinces cluster into distinct political regimes which are predictive of population health. Data is retrieved from the Canadian Socio-Economic Information Management System (CANSIM) II Tables from 1976 to 2008 and Canadian Parliamentary Guides from various years. Population health is measured using total, male, and female age-standardized mortality rates. Estimation techniques include Prais-Winsten regressions with panel-corrected standard errors (PCSE), a first-order autocorrelation correction model (AR1), and fixed unit effects. Hierarchical cluster analysis is used to identify how provinces cluster into distinct regimes. Primary findings are three-fold. First, provincial welfare generosity has a significant impact in lowering mortality rates, net of other factors, such as demographic and economic variables. Second, the political power of left and centre political parties and women in government have significant negative effects on mortality rates. Whereas left political parties and women in government combine with provincial welfare generosity to improve population health, the effect of centre political parties is channeled through provincial expenditures. Third, provinces cluster into three distinct regimes based on left political party power and women in government: 1) leftist (Saskatchewan, British Columbia, and Manitoba); 2) centre-left (Ontario and Quebec); and 3) conservative (Alberta, Nova Scotia, New Brunswick, Prince Edward Island, and Newfoundland). Compared to the leftist regime, centre-left and conservative provinces have significantly higher mortality rates; however, provincial welfare generosity accounts for most of the observed inter-provincial differences in population health.