"A Nurse is not a Nurse is not a Nurse": The Social Construction of Skill Among Internationally Educated Nurses Through the Lens of Feminist Economy and Disablement

This dissertation examines policies from 2000 to 2024 regarding the assessment of internationally educated nurses' (IENs) skills, including credentials and work experience needed to enter Canadian nursing. I show that federal and provincial initiatives, like the National Nurses Assessment Service and fair access legislation, have made the process stricter, longer, and more expensive. As a result, many IENs are pushed into lower-tiered healthcare jobs, such as personal support work, characterized by high job insecurity, low wages, and increased risks of disability, including injuries, illnesses, and mental health distress. I argue that IENs' downward occupational mobility extends beyond a policy failure or racial biases; it is intricately connected to the racialized and feminized segmentation of care work, underpinning Canada’s development as a settler-colonial capitalist state. It is a continuation of a gatekeeping mechanism where (a) white nurses enhance their power and privilege—like better pay, benefits, and social status—by upholding masculinist and colonial beliefs about skill, often marginalizing labour associated with poor, non-white women, and (b) settlers access a pool of easily exploitable labour to fulfill the nation’s social reproductive demands. Unlike past racially explicit exclusions, the current policy uses “managed” integration, marked by selectivity (higher scrutiny) and assimilation (limited to those who approximate Canadian nursing standards). This segmentation is masked by race-neutral policies focusing on public safety and upholding international applicants' rights to fairness. Despite the advantages of racial segmentation processes, I illustrate how the downward occupational mobility of IENs adversely affects their health and the welfare of impoverished communities in their home countries, particularly the Philippines, and is closely linked to neoliberal privatization and declining care standards in Canada. By integrating insights from critical policy analysis, feminist political economy, critical race theory, and critical disability studies, I develop a framework to (a) examine the ideological and socioeconomic interests integration policy supports and (b) advocate for a fundamentally different approach to healthcare organization, specifically, one that challenges the hierarchical classification of skills (i.e., distinguishing between high-skilled and low-skilled jobs) as the mechanism that determines workers' unequal access to compensation, benefits, job security, legal protections, and social status

Subversive Mundane: Pop Music & the Islamic Republic of Iran

The thesis claims that the expansion of a grand ideology to the practices of everyday life by an interventionist regime endows popular culture an explicit emancipatory power, elevates the mundane, and transforms it to an implicit political statement uttering against the initial ideal of the grand narrative which becomes shattered, depoliticized, and fragmented on a daily basis

Securing Multi-Layer Federated Learning: Detecting and Mitigating Adversarial Attacks

Within the realm of federated learning (FL), adversarial entities can poison models, slowing down or destroying the FL training process. Therefore, attack prevention and mitigation are crucial for FL. Real-world scenarios may necessitate additional separation or abstraction between clients and servers. When considering multi-layer FL systems, which contain edge server layers, the structural differences warrant new strategies to handle adversaries. While existing works primarily address attack prevention and mitigation in conventional two-layer FL systems, research on attack prevention and mitigation in multi-layer federated learning systems remains limited. This thesis aims to address this gap by investigating the defense strategies in a multi-layered FL system. We propose new methods for anomaly detection and removal of attackers/adversarial entities from training in a multi-layer FL system. First, we train a variational autoencoder (VAE) using the model updates collected from the edge servers. This allows the VAE to discern between benign and adversarial model updates. Following that, we deploy the VAE to detect which edge servers at the cohort level contain malicious clients. Subsequently, we devise two malicious client exclusion strategies: the scoring-based method, which applies a score for each client based upon its appearances within cohorts labeled as benign or malicious, and the Bayesian-based method, which uses Bayesian inference to predict if a specific client is malicious based on the statistical performance of the autoencoder. Both approaches are aimed at mitigating potential harm caused by malicious clients during model training. The experimental results demonstrate the superiority of the proposed methods over previous works for traditional FL mitigation under a variety of scenarios

Optical Polarization Studies Of Latex Beads In Aqueous Solution: An Analog For Radar Scattering In Water-Ice Medium

This study presents low phase angle 0◦−5◦ measurements of polarimetric properties of icy planetary regolith analog materials acquired using the custom-built Multi-Axis-Goniometer-Instrument (MAGI). We present same sense (SC), and opposite sense (OC) backscatter circular polarization coefficients, circular polarization ratio (CPR), and degree of linear polarization (DLP) of spherical latex (non-dye) beads of varying sizes and volume concentrations (v/v) in aqueous solutions (λ=0.8μm) in water. We leverage Mie scattering calculations to accurately simulate the polarization behavior of light in an aqueous solution of latex beads. We also present measurements of alumina powder in air at λ=1.064μm. Measurements showed that at a low incidence angle (i=0◦), backscatter is dominated by surface specular single-bounce scattering, which hides other scattering processes. At high (i=15◦) incidence angle, surface single-bounce surface scattering becomes negligible, allowing for the detection of diffuse, dihedral (multiple bounces) scattering. We find that classical Mie alumina particles (2.1μm, 4.0μm) enhance subsurface scattering due to a larger void space relative to larger Mie particles (30μm), which cause the radar signal to scatter forward off small imperfections, maintaining the polarization properties of the signal and generating high >1 CPR. Latex beads, representing impurities, demonstrate the impact of isotropic and anisotropic scattering on radar signatures. Experiment and model found that the scattering medium’s anisotropy correlates to the size of the beads, while the void space of the medium inversely correlates with the bead size and the volume concentration (v/v) of the beads. Model and measurements show that Rayleigh-sized beads (impurities), due to isotropic scattering from the reduced scattering cross-section and higher transparency relative to larger impurities, generate subsurface single bounce scattering, producing OC≫SC and a low (<0.5) CPR and across all v/v with SC, and CPR proportional to v/v, but with OC, and DLP inversely proportional to v/v. Model of Rayleigh-sized beads (impurities) has increased modeled transparency that results in more simulated single-bounce scattering relative to experiment. Conversely, model and measurements of classical and large Mie beads show anisotropic scattering that intensifies scattering in the forward direction with high CPR, inversely proportional to the volume concentration with discrepancies between 4◦−5◦ relative to model

Multi-Method Study On Referral And Access To Heart Function Clinics

Patients with heart failure (HF) experience significant benefits from receiving comprehensive outpatient care in specialized heart failure clinics (HF clinics). These clinics have demonstrated their effectiveness in reducing frequent HF-related hospital readmissions while maintaining cost-efficiency. Unfortunately, despite established guidelines recommending the referral of HF patients to these clinics, there exists a notable discrepancy in both access and utilization of this specialized care, creating issues of low and inequitable service utilization. The underlying reasons are largely unknown and under-researched. Therefore, this doctoral dissertation aimed to advance a scholarly understanding of factors influencing the referral decisions and access to HF clinics through a multi-method study. For this purpose, three inter-linked research studies were undertaken. Firstly, qualitative interviews were conducted with key stakeholders in HF care, including policymakers, clinic providers, and patients. This initial phase established a foundational understanding of the barriers preventing optimal access to HF clinic services. Secondly, recognizing that referring providers play a pivotal role in determining patient access to HF clinics, a mixed-method design was employed, using a sequential exploratory approach to delve into their perspectives on the challenges associated with referring patients to HF clinics. Finally, a cross-sectional survey approach was adopted to compare clinic perceptions of ideal referral criteria with those of referring providers. By identifying areas of agreement between both parties, strategies for consistent application were proposed. This dissertation contributes valuable insights for HF clinics and the broader HF community. The knowledge generated has the potential, when translated into practice, to facilitate appropriate patient access to essential HF services. The findings offer guidance to policymakers, healthcare providers, and HF patients, aiming to optimize the utilization of HF clinic services, enhance the quality of care provided, and improve overall patient outcomes

Normalized Moments for Photo-realistic Style Transfer

Style transfer, the operation of matching appearance features between source and target images, is a complex and highly subjective problem. Due to the profundity of the concept of artistic style, the optimal solution is ill-defined, so the variety of approaches that have been proposed represent partial solutions to varying degrees of efficiency, usability and appearance of results. In this work a photo-realistic style transfer method for image and video is proposed that is based on vision science principles and on a recent mathematical formulation for the deterministic decoupling of features. As a proxy for mimicking the effects of camera color rendering or post processing, the employed features (the first through fourth order moments of the color distribution) represent important cues for visual adaptation and pre-attentive processing. The method is evaluated on the above criteria in a series of application relevant experiments and is shown to have results of high visual quality, without spatio-temporal artifacts, and validation tests in the form of observer preference experiments show that it compared very well with the state-of-the-art (deep learning, optimal transport, etc.) The computational complexity of the algorithm is low, and a numerical implementation that is amenable for real-time video application is proposed and demonstrated. Finally, general recommendations for photo-realistic style transfer are discussed

Transmission Dynamics And Control Of Cholera In Africa: A Mathematical Modelling Approach

Background: Cholera, caused by Vibrio cholerae, is a global health threat, with outbreaks surging since 2021, particularly in Africa. In 2024, over 13 African countries faced outbreaks worsened by climatic events, poverty, and weak healthcare systems. A shortage of vaccines further complicates control efforts. Objective: This study uses data science, machine learning, and modelling to analyze cholera dynamics, identify outbreak drivers, and propose targeted interventions. Methods: A compartmental model with Bayesian estimation analyzed cholera data from eight African countries. Sensitivity analysis identified key transmission parameters, and hierarchical clustering grouped countries by outbreak characteristics. Results: Average R0 was 2.0, ranging from 1.41 (Zimbabwe) to 2.80 (Mozambique). Factors like infection rate and human shedding increased R0, while recovery rate reduced it. Clustering identified three outbreak drivers: natural disasters, conflict, and sanitation issues. Conclusion: Tailored, data-driven interventions are critical for effective cholera management across diverse contexts

The Effect Of Ketogenic Diet On Hepatic Cholesterol Metabolism

The ketogenic diet (KD), known for its high-fat, low-carbohydrate composition, has gained popularity for weight loss and metabolic health benefits. Despite these advantages, there are concerns that the diet's high saturated fat content might elevate cholesterol levels and cardiovascular disease (CVD) risk. This study investigates the KD's impact on the molecular mechanisms of cholesterol metabolism in the liver, focusing on cholesterol synthesis markers such as 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA reductase) and sterol regulatory element-binding protein-2 (SREBP-2), as well as cholesterol uptake markers including proprotein convertase subtilisin/kexin type 9 (PCSK9) and LDL receptors (LDLr). For that, male Wistar rats (n = 6 per group) were fed for 16 weeks one of the following diets: standard chow (SC, 60% carbohydrates, 13% fat, 27% protein), high-fat sucrose-enriched (HFS, 20% carbohydrates, 60% fat, 20% protein), and ketogenic diet (KD, 0% carbohydrates, 80% fat, 20% protein). Liver tissue was extracted and analyzed for gene expression using real-time PCR and protein content using western blotting. Blood samples were collected to measure circulating cholesterol levels. We found that neither plasma cholesterol levels nor HMG-CoA reductase and SREBP-2 levels in the liver differed among the dietary interventions. However, the KD significantly reduced liver PCSK9 content and expression in comparison other diets, suggesting that the KD enhanced clearance of circulating cholesterol by the liver. To test whether there was a higher amount of LDLr on the membrane compared to the cytoplasm, the ratio of LDLr distribution between these compartments was measured. Importantly, there was an upward trend in the levels of LDLr on the membrane. In conclusion, the KD altered key steps that regulate hepatic cholesterol metabolism and prevented plasma cholesterol levels from increasing, despite its elevated saturated fat content

Modeling of Eye contact behavior

With the rise of online platforms and avatar-based communication, understanding eye contact a key non-verbal cue is crucial for trust in conversations. This study examines eye contact behavior across face-to-face interactions, a screen-sized window interface, and online meetings. We collected twelve hours of eye contact data from 48 individuals using eye trackers and motion capture in dyadic settings. Our analysis showed consistent eye contact patterns in face-to-face and screen-sized window interactions, while online meetings caused significant shifts due to the lack of direct eye contact. To model this behavior, we trained a diffusion model (DDPM) to generate synthetic eye movements that preserved key features of real data. We evaluated our model using metrics such as eye contact frequency. This study provides insights into how communication media influence gaze behavior and explores methods for generating realistic eye movements in conversational settings

Black Movement and Freedom: Questions of Cyclescapes, Cycling Planning, and Minstrelsy

This paper investigates the following central question: What are the outcomes of the historical and ongoing restrictions placed upon the Black diaspora's physical movement? Related to my research question, I consider what the literature and archives have to say about Black experiences with movement and I engage with cycling-related scholarship on class and race, particularly as it relates to Black communities. I explore this in this paper to sufficiently contextualize the subject-matter I am engaging with. I argue that the historical and ongoing restrictions of the movement of the Black diaspora is subjectivity-producing and provides an alternative lens to better understanding anti-Blackness, and liberatory ways of understanding and engaging with movement. Additionally, to contribute to advancing an underexplored research topic in Black Geographies and further the growing scholarship on cycling and racism. Additionally, I explore the experiences of cycling and Black communities and conduct a research analysis on late nineteenth-century minstrel and other anti-Black imagery featuring bicycles. This paper focuses on Canada and the United States, bringing cycling and transportation research into conversation with Black studies and Black geographies. I draw on archival materials from the late 1800s to early 1900s, alongside a counter-archival and discourse analysis. My sources include journalism, transportation planning data, and academic literature in social geography, anthropology, and history—all centred on cycling in North America