VictorJuiz/thesis huggingface dataset:
Creative History, Political Reality: Imagining Monarchy in the Roman Republic
Keywords: ancient Rome
literature
history
republican Rome
Livy
Cicero
Caesar
Dionysius of Halicarnassus
Romulus

This dissertation discusses the interaction of mythology and power in the Roman Republic and early Principate. It identifies a mythological paradigm that has not been recognized in previous scholarship ("pairs") and traces the use of this paradigm by Roman writers of the second and first centuries BCE. It argues that pair stories problematize the relationship between Roman elite ambition and the Republic's political ideals of equality and cooperation among magistrates. It further argues that these stories evolve over the course of the two centuries under discussion, from tales that are relatively optimistic about the potential of reconciling the tension between individual ambition and elite collegiality to tales that are extremely pessimistic. This evolution is tied to the political turmoil visible at Rome in this period. Several stories are identified as pair stories. The first and most well-attested is the foundation myth of the city, which is discussed at length in chapters two through six. In chapters seven and eight, the pattern is established through the analysis of Amulius and Numitor, Brutus and Collatinus, and the men known as affectatores regni. The historical development of these tales is discussed as thoroughly as possible. The argument throughout is that narratives from second-century writers depict pairs as representatives of productive rivalry. This rivalry encourages the elite to achieve beneficial results for the city, and can be set aside for the public good. Such depictions become less prevalent by the later first century, when the pair narratives instead tend to illustrate destructive competition. This destruction must be understood in the context of its times; the third quarter of the first century BCE saw the establishment of Rome's first monarchy in centuries. It is under the Principate that the tales again become clearly different: competition disappears. Soon afterwards, so does the use of these stories as a tool to think with.
Transforming Learning in Science Classrooms: A Blended Knowledge Community Approach
Keywords: knowledge community

In this study, I examined how science curricula designed based on the Knowledge Community and Inquiry (KCI) model (Slotta, 2007) would foster the development of knowledge communities in secondary school science classrooms. KCI situates scaffolded inquiry activities within a collective context. In two design iterations, I collaborated with high school teachers to design and implement grade-nine science curriculum units with the topic of Climate Change. Then, I probed the extent to which characteristics of classroom-based knowledge communities manifested in students’ collaborative inquiry activities and the product of their work. In both iterations, students worked for approximately 8 weeks in a sequence of interconnected collaborative inquiry activities, creating digital inquiry artifacts. Two class sections engaged in iteration 1 and created wiki pages about the effect of climate change in Canada. They, then, used these wiki pages to examine the implications of climate change on certain industries. Five class sections engaged in iteration 2 where students identified important climate change-related issues and examined scientific aspects of those issues along with existing remediation plans. Knowledge co-constructed in this collaborative inquiry activity, contained in a Drupal platform, was used to propose improvement to existing remediation plans. Analyzing the process and the product of collaborative inquiry allowed me to examine the extent to which a knowledge community developed in each of the iterations. Findings from iteration 1 revealed that students needed tighter scaffolds during collaborative inquiry activities to stay focused on science connections. Additionally, epistemic scaffolds were added to the designed curriculum unit in iteration 2. Also, students were given regulative scaffolds to plan and monitor their collaborative inquiry. Findings from iteration 2 showed more science connections in co-constructed knowledge and higher amount of collaboration among students while constructing shared knowledge comparing to iteration 1. This study provided further evidence of the effectiveness of KCI model to foster characteristics of knowledge communities in secondary school science classrooms. In addition to elaborating pedagogical and technological scaffolds that facilitated KCI curriculum units, recommendations were made for future research to improve existing scaffolds and, thus, progressing towards knowledge communities that are responsive to curricular expectations of science classrooms.
Paternal Exposure to Ionizing Radiation in Ontario Uranium Miners and Risk of Congenital Anomaly in Offspring: A Record Linkage Case-control Study
Keywords: Ionizing radiation
uranium
uranium miners
radon
gamma ray
radiation measurement
radiation effects
occupational exposure
occupational health and safety
environmental exposure
paternal exposure
paternal exposure delayed effects
male reproduction
transgenerational effect
pregnancy outcome
congenital anomaly
birth defect
infant
offspring
live birth
record linkage
case control study

Objective: To determine if paternal preconception exposure to ionizing radiation through uranium mining increases the risk of congenital anomaly (CA) in offspring. Methods: A population-based matched case-control study was conducted. Cases were infants with CAs recorded in the Canadian Congenital Anomalies Surveillance System and born alive in Ontario 1979-86 (ICD-9 codes 740-759); controls were liveborn infants without CAs identified from Ontario birth certificates and individually matched to cases (case-control file {CCF}). Exposed fathers were identified through the linkage of the CCF to the Mining Master File or the National Dose Registry file, which include those who worked in Ontario uranium mines 1952-1986. For men who linked with a case or control child, radon, gamma and total gonadal doses were estimated for three preconception periods: entire, 3-months and 6-months. Odds ratios were estimated using conditional logistic regression. Results: Linkage of 28,991 uranium miners and 40,482 case-control pairs of fathers and offspring in the CCF identified 431 discordant pairs. There was no evidence of increased risk of a child having a CA if the father was ever a uranium miner before conception of the child (OR=0.89, 95% CI=0.74–1.08). Since gamma radiation (especially during the 6-month preconception period) is more biologically relevant to gonads than radon, further analyses were performed on 117 discordant pairs where data on gamma exposures were available. When ever/never miner, exposed to gamma (yes/no), and gamma dose-response variables were all in the model, there was no ever/never miner effect (OR=1.20, 95% CI=0.85–1.69, p-value=0.30), an inverse association for exposure to gamma (OR=0.42, 95% CI=0.25–0.71, p-value=0.001), but most importantly, there was no statistically significant dose-response relationship between gamma dose during the 6-month preconception period and all CAs (OR=1.15 per loge {mSv+0.01}, 95% CI=0.83–1.59, p-value=0.40). Similarly, no dose-response relationship was observed for exposure to gamma radiation in the 3-month preconception period, or for radon or total gonadal radiation in the 3- or 6-month preconception periods. Conclusion: There was no increased risk of a CA among liveborn children of Ontario uranium miners who were exposed to radon, gamma or total radiation during the 3- or 6-month periods before conception.
Bubble Dynamics, Oscillations and Breakup under Forced Vibration
Keywords: bubble
oscillation
breakup
CFD
numerical simulation
chaotic
shape oscillation
vibration

Coupled shape oscillations and translational motion of an incompressible gas bubble in a liquid container in response to forced vibration is studied numerically. Bond number (Bo) and the ratio of the vibration amplitude to the bubble diameter (A/D) are found to be the governing non-dimensional numbers. Bubble response is studied in both 2D and 3D. Different schemes are used for 2D and 3D simulations. In 2D, the flow solver is coupled to a Volume of Fluid (VOF) algorithm to capture the interface between the two phases while in 3D the interface is captured using a level set algorithm. The oscillation outcome ranges from small amplitude and regular oscillations for small Bo and A/D to large amplitude, nonlinear, and chaotic oscillations for large Bo and A/D. Chaotic behavior occurs due to the coupling between the nonlinear shape oscillations and large amplitude oscillatory translational motion. By further increase of the forcing, the inertia of the liquid results in the formation of a liquid jet which penetrates within the bubble core and pierces the bubble and a toroidal bubble shape is formed. The toroidal bubble shape then goes through large amplitude shape oscillations and smaller bubbles are formed. A summary of the 3D simulations provides a map which shows the bubble oscillation outcome as a function of Bo and A/D. The interaction between two bubbles is studied in 2D as well and the effect of vibration amplitude, frequency and liquid to gas density ratio on the interaction force is investigated.
Neighbourhood Correlates of Child Injury: A Case Sudy of Toronto, Canada
Keywords: injury
children
neighbourhood effects
income inequality
child welfare

This study identifies the extent to which neighbourhood socioeconomic trends are related to intentional and unintentional child injuries in Toronto, Ontario. Children living in lower socioeconomic status (SES) neighbourhoods have often been found to face a higher injury death and morbidity rate than more well‐off children. A likely explanation is an increase in the unequal exposure to injury-promoting environments on the basis of the income polarization (a declining middle income group). However, the strength of the inverse relationship between SES and injury is related to a number of factors, including the SES indicator chosen by the researcher. Hence, a goal of the study is to determine whether neighbourhood socioeconomic trends toward income polarization have predictive power in explaining variation in injury rates in young children aged 0-6, over and above more typical measures of SES and neighbourhood disadvantage. Census data were used to determine socioeconomic trends. Neighbourhoods (census tracts) were divided into three distinct categories based on neighbourhood change in average individual income: neighbourhoods that have been improving, declining, and those displaying mixed trends. This analysis of neighbourhoods was merged with geo-coded hospital-based emergency department data to calculate rates of overall injuries, falls, burns and poisoning. The predictive power of neighbourhood socioeconomic trends on injury was compared to more typical neighbourhood disadvantage measures such as income (high, medium, low), neighbourhood employment rates, education levels, and housing quality from the 2006 census. Socioeconomic trends contributed significantly to injury outcomes, but the contribution of other neighbourhood disadvantage indicators was higher. Housing in need of repair and individuals with no university degree in a neighbourhood were positively correlated with three of four outcomes. A high immigrant population in a neighbourhood was negatively correlated with three of four outcomes. Neighbourhood socioeconomic trends had slightly more predictive power than the more typical measure of SES (high, medium or low income). Researchers should carefully consider their socioeconomic status measures when predicting injury outcomes.
Defying the Odds: Growing Up & Growing Older with a Lifelong Physical Impairment (Cerebral Palsy)
Keywords: aging
disability
rehabilitation
The Life Course

Purpose: The purpose of this study was to explore the experience of individuals who are aging with a lifelong and/or early-onset physical impairment. Method: A qualitative methodology was utilized consisting of narrative inquiry informed by the Life Course Perspective. The life course perspective is a dynamic approach that encompasses multiple theories including sociology, human development, and aging, highlighting how social, historical, and cultural contexts shape people’s lives. Narratives are storied ways of knowing and communicating that people use to organize events in their lives and make sense out of their experiences. Nine community-dwelling individuals (3 men; 6 women), aged 26-70, with mild to severe Cerebral Palsy were recruited using a combination of purposive and snowball sampling. Multiple (3-4), in-depth interviews were completed with each participant in order to co-construct their life stories. The data analysis was iterative. NVIVO 8 was used to organize the data, supporting a systematic caparison of emerging themes and categories, as well as the central plot that weaves the participants’ experiences together. Findings: “Defying the Odds” emerged as the central narrative that weaved together their experience of growing up and growing older. Their narrative is depicted through the trajectory of the disordered body that manifests itself in peaks and valleys. Their narrative is also weaved together by three central threads: Achieving a Sense of Belonging, Overcoming being Seen but not Heard, and Striving for Self-Reliance. “Normalization” emerged as a key recurring theme in the participants’ life stories. The focus of rehabilitation on "normalizing" movement, particularly walking, during childhood can lead to social psychological challenges as well as problems later in the life course as people encounter increasing fatigue and decreasing functional abilities but no longer have access to rehabilitation services. Implications: Theoretically, the disordered body needs to be reconceptualized in ways that are more positive. Conceptualizing a theory on aging with disability needs to be pursued. Clinically, we need to work towards developing a continuum of care across the life course with a focus on long-term maintenance and prevention of secondary health problems.
The Identification and Characterization of Genetic Modifiers for Bardet-Biedl Syndrome-associated Phenotypes using Caenorhabditis elegans
Keywords: Ciliopathy
Cilia
Bardet-Biedl Syndrom
Caenorhabditis elegans
Guanylate Cyclase
Model organism
Genetic modifier
cGMP

Primary cilia are evolutionarily conserved organelles required in a number of signalling pathways influencing the development and behaviour of a diverse range of organisms. More recently, studies into a new class of human diseases known as ciliopathies have helped to shed light on the critical role of this once-ignored signalling centre. Bardet-Biedl syndrome (BBS) proteins localize to the primary cilium and participate in cilium biogenesis and function. BBS is a pleiotropic human disorder with variable severity that is suitable as a disease model for investigating the pathogenesis of a number of common ciliopathy features such as photoreceptor degeneration, renal cysts, and obesity. The C. elegans genome encodes a number of BBS proteins which undergo intraflagellar transport (IFT) at the primary cilium. Given the conservation between C. elegans and human BBS proteins, I hypothesize the existence of unidentified conserved genetic pathways related to the functions of these proteins. Using C. elegans, I characterize novel features of bbs mutants while identifying sources of genomic variation that may elucidate the variability of human BBS features. I show that C. elegans bbs mutants exhibit smaller body size, delayed development, and decreased exploration behaviour. Moreover, I identify a role for the soluble guanylate cyclases GCY-35/GCY-36 in modifying these bbs phenotypes. I conclude that BBS proteins non-cell autonomously influence a set of body cavity neurons in which GCY-35/GCY-36 function genetically upstream of a cGMP-dependent protein kinase (PKG), EGL-4, to control body size. Furthermore, the role of GCY-35/GCY-36 is unique amongst a large number of guanylate cyclases and BBS proteins may influence body size via an IFT-independent function. I explore the biological functions of EGL-4 and conclude that it may regulate body size through multiple cellular mechanisms. I also examine potential candidate genes related to cGMP production and turnover, confirming that additional cGMP-related factors can influence body size although not necessarily in body cavity neurons. In conclusion, I propose a model where BBS-expressing sensory neurons influence body size and development through cGMP-PKG signalling in body cavity neurons while functioning in parallel with additional sensory neurons (possibly BBS-independent) that use similar cGMP-PKG signalling dynamics.
Quantifying the Transition to Low-carbon Cities
Keywords: Greenhouse Gas Emissions
Low-Carbon Cities
GHG Quantification
Technology Adoption
Climate Change
Sustainability
Technology Diffusion
Energy Efficiency
Sustainable Cities

Global cities have recognized the need to reduce greenhouse gas (GHG) emissions and have begun to take action to balance of the carbon cycle. This thesis examines the nuances of quantification methods used and the implications of current policy for long-term emissions. Emissions from waste management, though relatively small when compared with building and transportation sectors, are the largest source of emissions directly controlled by municipal government. It is important that municipalities understand the implications of methodological selection when quantifying GHG emissions from waste management practices. The “Waste-in-Place” methodology is presented as the most relevant for inventorying purposes, while the “Methane Commitment” approach is best used for planning. Carbon sinks, divided into “Direct” and “Embodied”, are quantified using the Greater Toronto Area (GTA) as a case study. “Direct” sinks, those whose sequestration processes occur within urban boundaries, contribute the largest share of carbon sinks with regional forests providing a significant proportion. “Embodied” sinks, those whose sequestration processes (or in the case of concrete, the processes that enable sequestration) are independent of the urban boundary, can contribute to the urban carbon pool, but greater uncertainty exists in upstream emissions as the management/processing prior to its use as a sink are generally beyond the consumer’s purview. The Pathways to Urban Reductions in Greenhouse gas Emissions (or PURGE) model is developed as a means to explore emissions scenarios resulting from urban policy to mitigate climate change by quantifying future carbon sources/sinks (from changes in building stock, vehicle stock, waste treatment and urban/regional forests). The model suggests that current policy decisions in the GTA provide short-term reductions but are not sufficient in the long term to balance the pressures of economic and population growth. Aggressive reductions in energy demand from personal transportation and existing building stock will be necessary to achieve long-term emissions targets.
Two- and Three-dimensional Face Recognition under Expression Variation
Keywords: face recognition
3D face recognition
facial expression
point correspondence
discriminant methods
surface normal vector
3D face registration
iterative closest normal point
linear discriminant analysis
expression transformation
expression subspace
principal component analysis
biometrics
verification
generic training
single sample
expression variation
Face Recognition Grand Challenge Database
FRGC
nose detection
3D face segmentation

In this thesis, the expression variation problem in two-dimensional (2D) and three-dimensional (3D) face recognition is tackled. While discriminant analysis (DA) methods are effective solutions for recognizing expression-variant 2D face images, they are not directly applicable when only a single sample image per subject is available. This problem is addressed in this thesis by introducing expression subspaces which can be used for synthesizing new expression images from subjects with only one sample image. It is proposed that by augmenting a generic training set with the gallery and their synthesized new expression images, and then training DA methods using this new set, the face recognition performance can be significantly improved. An important advantage of the proposed method is its simplicity; the expression of an image is transformed simply by projecting it into another subspace. The above proposed solution can also be used in general pattern recognition applications. The above method can also be used in 3D face recognition where expression variation is a more serious issue. However, DA methods cannot be readily applied to 3D faces because of the lack of a proper alignment method for 3D faces. To solve this issue, a method is proposed for sampling the points of the face that correspond to the same facial features across all faces, denoted as the closest-normal points (CNPs). It is shown that the performance of the linear discriminant analysis (LDA) method, applied to such an aligned representation of 3D faces, is significantly better than the performance of the state-of-the-art methods which, rely on one-by-one registration of the probe faces to every gallery face. Furthermore, as an important finding, it is shown that the surface normal vectors of the face provide a higher level of discriminatory information rather than the coordinates of the points. In addition, the expression subspace approach is used for the recognition of 3D faces from single sample. By constructing expression subspaces from the surface normal vectors at the CNPs, the surface normal vectors of a 3D face with single sample can be synthesized under other expressions. As a result, by improving the estimation of the within-class scatter matrix using the synthesized samples, a significant improvement in the recognition performance is achieved.