Digital Commons Network^™

Impacts Of Burn Severity On The Hydro-Physical, Chemical And Thermal Properties Of Sub-Arctic Peat, Joshua B. Meyer Mr

Theses and Dissertations (Comprehensive)

Under current climate change, summer season in the boreal regions of Canada is becoming increasingly warmer and drier. This shift is driving increases in the frequency and intensity of naturally occurring wildfires and allowing access to areas not normally susceptible to fire such as wetlands. In peatland areas, these increasingly large fires can create complex burn scars, which contain a wide variety of different burn severities across different landcover types. This variety calls for a greater understanding of how varying fire intensity affects the hydro physical, chemical, and thermal characteristics of boreal peat. This study aims to deepen that understanding …

A Constructivist Grounded Study: At The Intersection Of Religion And Intimate Partner Violence In The Context Of An Ultra-Orthodox Jewish Community, Lauren Kalvari

Theses and Dissertations (Comprehensive)

This constructivist grounded theory study, informed by a critical intersectional lens and guided by symbolic interactionist theory, explored how Ultra-Orthodox Jewish women experience and navigate intimate partner violence (IPV) within their religious and community contexts. Ten participants, recruited through purposive and theoretical sampling, were separated or divorced from abusive partners for at least eight months and had engaged in psychotherapy, allowing for retrospective meaning-making. Each participant completed one to three in-depth interviews on IPV, community responses, spiritual conflict, and recovery. Data collection and analysis were conducted concurrently using Charmaz’s iterative constructivist grounded theory approach, which included initial, focused, and theoretical …

Investigation Of Mercury Bioaccessibility In Subsistence Fishes From The Canadian Subarctic, Kiran Mateo Sharma Mr

Theses and Dissertations (Comprehensive)

Fish consumption is the primary pathway for human exposure to methylmercury (MeHg), a global contaminant of concern known to cause adverse health effects. Fort Albany First Nation, a remote Indigenous community in northern Ontario that relies on fish for both subsistence and cultural practices, has expressed concern regarding the safety of local fish consumption. Community members and leaders have communicated several priorities for scientific research that are the foundation of this thesis. Specifically, consumers of wild-caught fish have asked how traditional cooking methods may affect mercury concentrations in fish, and how mercury concentrations in little-studied organs, such as liver and …

An Examination Of Speech Motor Control And Auditory Processing In Attention Deficit Hyperactivity Disorder (Adhd), Rita Bishai

Theses and Dissertations (Comprehensive)

Fluent speech production is achieved through a relative weighting of feedback and feedforward motor control systems. These systems are thought to be responsible for the online correction of vocal errors and initiating speech, respectively. The relative weighting of these motor control systems has been shown to differ under conditions of high attentional load and across individual differences in sensory acuity. However, research has yet to examine speech motor control in a population with clinical attentional and sensory processing differences, such as those with Attention-Deficit Hyperactivity Disorder (ADHD). The studies in this thesis aimed to examine how ADHD traits relate to …

Picturing Your Goals: Examining Imagery Perspective And Self-Concordance In Goal Motivation, Cana J. Reuber

Theses and Dissertations (Comprehensive)

Mental imagery is often used as a strategy to increase motivation and support goal pursuit, but it remains unclear when different forms of imagery are most effective. Prior work suggests that adopting a third-person imagery perspective may enhance goal striving by promoting more abstract, identity-relevant processing. In line with this work, we predicted that third-person imagery would be most beneficial for self-concordant goals. The present research tested this prediction across three studies. In Study 1 (N = 273), participants identified a personal goal, visualized themselves pursuing and attaining it from either a first- or third-person perspective, and reported their …

Exploring Religious-Spiritual Struggles Among Muslim Immigrants In The Canadian Context, Ayse Erenay

Theses and Dissertations (Comprehensive)

Migration to a new culture and adaptation to a different lifestyle may cause emotional and psychological stress. In some cases, immigrants may experience religious and/or spiritual (R/S) struggles due to challenges to their beliefs and practices in the country they have immigrated to. Based on Pargament (2007, 2013)’s R/S struggle framework, these struggles may include questions about the ultimate meaning of life, one’s relationship with God, or doubt about one’s belonging within a religious or spiritual community. Muslim immigrants face unique struggles since Islamic teachings require Muslims to visibly practice their faith and reflect on God’s presence as a central …

Sex Differences In The Use Of Cognitive Strategies In Brown-Headed Cowbirds (Molothrus Ater), Nicole E. Robinson Ms.

Theses and Dissertations (Comprehensive)

Cognition is widely believed to be adaptive, yet few studies directly show that variation in cognitive performance is related to fitness. Brown-headed cowbirds (Molothrus ater) provide a powerful system for addressing this gap because brood parasitism creates strikingly different reproductive problems for females and males. Females face the spatial demands of nest-prospecting, whereas males face social and competitive demands associated with access to mates. Across five experiments, cowbirds were tested on an outdoor foraging task designed as an analogue of nest prospecting, with manipulations of retention interval, cue conflict, and breeding condition, followed by observations of reproductive behaviour. …

Is Prosocial Behavior A Unique Correlate Of Academic Success In Emerging Adulthood?, Jacqueline Di Biase

Theses and Dissertations (Comprehensive)

Prior developmental research has frequently linked prosocial behavior to stronger academic functioning during childhood and adolescence (Cruz et al., 2024; Gerbino et al., 2018; Oberle et al., 2022), yet its relevance to academic success in emerging adulthood remains unclear. Guided by a Positive Youth Development (PYD) framework, the present study sought to address gaps in emerging adulthood research by examining the academic relevance of prosocial behavior while accounting for influential developmental assets and testing its independent contribution to academic achievement. Undergraduate students (N = 501) completed a cross-sectional self-report survey assessing prosocial behavior, self-control, dutifulness, sociability, and cumulative grade …

The Power Of Letting Go: The Role Of Goal Adjustment Capacities Across Future And Daily Perspectives Of Chronic Illness, Alexandra Dagher, Meaghan Barlow

Theses and Dissertations (Comprehensive)

Goal adjustment capacities are self-regulatory processes that protect psychological well-being by allowing individuals to disengage from unattainable goals and reengage in new attainable ones. Although research has shown that these capacities are beneficial in the context of chronic illness, little is known about how their effectiveness may differ across various aspects of the chronic illness experience. The present research consisted of two distinct yet complementary studies examining the role of goal adjustment capacities in two chronic illness contexts. Study 1 (N = 149) prompted participants to imagine the future progression of a chronic illness, whereas Study 2 (N …

Mixed Methods Insights Into Understandings Of And Stigma Towards Autism In Children And Young Adults, Natalia Gc Van Esch

Theses and Dissertations (Comprehensive)

BACKGROUND: Autism is widely stigmatized and misunderstood. Existing research using methods such as questionnaires finds that autistic individuals are often evaluated more negatively than their non-autistic counterparts. Unfortunately, this approach provides limited insight into the underlying representations of autism that individuals hold. The present study seeks to examine how children and adults define, describe, and represent autism, and how these representations relate to stigma. METHODS: In Part I, children participated in a semi-structured interview in which they defined autism and created autistic and non-autistic characters using a guided character-building task. Children then rated their characters on a series of social …

A Novel Federated Llm Framework For Distributed Traffic Modelling In Intelligent Transportation Systems, Seerat Kaur

Theses and Dissertations (Comprehensive)

Intelligent transportation systems (ITS) depend on accurate traffic prediction to support congestion management, infrastructure planning, and real-time operational decisions. Despite substantial progress in data-driven forecasting, several challenges continue to limit practical deployment: traffic data is distributed across independent regional authorities, making centralized aggregation infeasible, standard federated aggregation strategies ignore traffic-specific characteristics that meaningfully affect model quality, and existing models produce only numerical outputs without interpretable reasoning that urban planners can act upon. This thesis addresses these challenges through four contributions that collectively advance privacy-preserving, explainable, and scalable traffic forecasting.

The first contribution provides a systematic review of 129 peer-reviewed publications, …

Analysis Of Alternative Oxidase In Non-Angiosperm Plants, Anissa M. Francis

Theses and Dissertations (Comprehensive)

Alternative oxidase (AOX) is a mitochondrial terminal oxidase that provides an alternative pathway for electron transport, allowing plants to maintain respiratory flexibility under environmental stress conditions. While AOX has been extensively studied in angiosperms (flowering plants), little is known about its distribution and conservation in non-angiosperms. Based on gaps identified in the literature, this thesis investigated the distribution of AOX across non-angiosperm plant lineages. Although AOX is present in many green algae and is therefore considered to be an ancient protein that originated before the existence of non-angiosperm plants, it remains unclear whether the protein is uniformly distributed across these …

Permafrost Microtopography And Active Layer Hydrology In The Western Canadian Arctic, Tobias L. Leonhard

Theses and Dissertations (Comprehensive)

The growing interest in Arctic regions will likely increase the use of nuclear energy in the Arctic. While this energy source has a high potential to improve economic opportunities in the Arctic, it also increases the release of radioactive material (radionuclides). Radionuclides are already found in the Arctic and are traced back to natural as well as anthropogenic sources. Water is one of the dominant transport vectors for solutes such as radionuclides or other contaminants. Therefore, improving our understanding of Arctic hydrology is important for assessing future environmental risks such as the release of radionuclides. Topographic and microtopographic features are …

Exploring The Role Of Cognitive Load In Applicant Faking And Prevention Methods, Sabah Rasheed

Theses and Dissertations (Comprehensive)

Personnel selection is critical to organizational success, and personality assessment is widely used to identify the best job candidates. However, applicant faking threatens the validity of personality assessments in high-stakes contexts. Faking is widely assumed to be more cognitively demanding than honest responding, and several faking-prevention methods rest on this premise. This dissertation examines that assumption across three studies using the dual-task paradigm to impose cognitive demands during personality assessments. Study 1 used a verbal digit-span task with a student sample and limited faking on the three job-relevant personality composites. Study 2 used a visual dual-task with a student sample …

The Effects Of Appearance Change And Partial Face Visibility On Eyewitness Identification, Raina-Lynn A. Brock M.A., Judy Eaton Ph.D.

Theses and Dissertations (Comprehensive)

There is limited research examining the possibility of a temporary appearance change (e.g. a black eye) between exposure to a perpetrator at the time of a crime and later identification attempts by eyewitnesses. Across two experimental studies, this research examines how eyewitness identification decisions are impacted by an appearance change and how lineup procedures can influence eyewitness accuracy. Study 1 examined how a transient facial feature, a black eye, affects the accuracy of eyewitnesses’ identification decisions, while manipulating the severity of the black eye (prominent bruising, faded bruising, no bruising). Participants (N=403) were exposed to a 43-second mock crime video …

Fear Across The Map: A Cross-Municipal Analysis Of Fear Of Crime In Canada, Muhammad Ali

Theses and Dissertations (Comprehensive)

This study examines the predictors of fear of crime (FOC) across three Canadian municipalities: Hamilton, Ontario; Brantford, Ontario; and North Battleford, Saskatchewan. Data from 1,956 survey responses were analyzed to understand how certain factors shape FOC across different municipal contexts in Canada. This study uses descriptive statistics, reliability analyses, correlation matrices, and Ordinary Least Squares regression models to examine whether FOC, and the predictors of FOC, operate consistently across municipalities. The findings indicate that the predictors of FOC are relatively reliable across municipal contexts. However, the influence of the predictors of FOC can vary across municipalities. Importantly, the level of …

Evops: Evolutionary Patch Selection In The Embedding Space Of Whole Slide Images, Saya Hashemian

Theses and Dissertations (Comprehensive)

Computational pathology increasingly relies on the analysis of Whole-Slide Images (WSIs), which capture tissue specimens at gigapixel resolution. Because a single slide is far too large to process directly, the

prevailing paradigm decomposes each WSI into thousands of small patches and encodes them as high- dimensional feature embeddings using deep learning backbones. While effective, this paradigm carries a

substantial cost: the resulting collections of patch embeddings are computationally expensive to store and process, and they are frequently dominated by redundant, homogeneous, or otherwise uninformative tissue regions that dilute the diagnostic signal. Existing patch selection methods largely depend on heuristic or …

Timing, Targets, And Teaching: How Employee Help-Seeking Influences Downward Knowledge Sharing, Nicholle E. Kovach

Theses and Dissertations (Comprehensive)

Knowledge sharing between managers and employees is critical for employee development and organizational performance. However, managers differ in whether they share knowledge, and in the type of knowledge shared. While solution-oriented knowledge offers immediate answers to improve short-term performance, process-oriented knowledge promotes long-term learning and employee development. The purpose of my dissertation is to investigate factors that influence managers’ knowledge-sharing decisions.

I conduct two studies to investigate my predictions. In Study 1, I examine how the timing of employee help-seeking requests, the source of performance targets and employee historical performance influence the type and quality of managers’ knowledge-sharing responses. Drawing …

The Lived Experience Of Special Education Director Retention: A Phenomenological Study Of Motivational And Organizational Influences, Matthew R. Taylor

Electronic Theses and Dissertations

The stability of leadership in special education is crucial for ensuring regulatory compliance, programmatic quality, and equitable services for students with disabilities. However, U.S. public schools face persistent challenges in retaining special education directors, resulting in a loss of institutional knowledge, service fragmentation, and increased risk of compliance failure. Drawing on self-determination theory and job embeddedness theory, this phenomenological study explored the intrinsic and extrinsic aspects that influence special education directors’ decisions to remain in their roles. Ten experienced special education directors from diverse public school settings in Texas participated in semistructured interviews and follow-up quantitative questionnaires. The analysis revealed …

The Impact Of Synchronous And Asynchronous Preference On The Performance Of Distance Learning Students, Christopher A. Wilson

Electronic Theses and Dissertations

Distance learning is a growing part of education. The transition to distance learning was underway at higher education institutions, but the COVID-19 pandemic forced institutions of all types to rapidly transition to distance learning. The technology that was adapted during this emergency distance learning remained in the classroom once normal instruction resumed. This quantitative study examined two aspects of distance learning technology in education. The study examined student preference for either synchronous or asynchronous instruction through the framework of expectancy theory. Students who were more familiar with the course material were hypothesized to have a higher expectation of success and …

A Conceptual Framework For Cognitive Engagement And Human Agency In Ai-Mediated Learning, Sam Rhodes, Zuhal Yilmaz, Terrie Galanti, Younggon Bae, Victoria Delaney, Zareen Gul Aga, Stephen Hutt

School of Mathematical & Statistical Sciences Faculty Publications

The purpose of this chapter is to propose a conceptual framework that unpacks AI use in instructional practice across three interrelated dimensions: human agency, cognitive demand, and AI orchestration. We ground this work in historical perspectives on technology's mediating role in education. We then propose the conceptual framework and three characterizations of the use of AI in school instruction: cognitive load reducer, cognitive capacity builder, and cognitive companion. We then illustrate a worked example of each, including a curricular example and sample student prompts, and conclude with questions that educators might ask themselves as they consider if and how to …

Optimal Quantization On Spherical Surfaces: Continuous And Discrete Models—A Beginner-Friendly Expository Study, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This expository paper provides a unified and pedagogical introduction to optimal quantization for probability measures supported on spherical curves and discrete subsets ofthe sphere, emphasizing both continuous and discrete settings. We first present a detailedgeometric and analytical foundation for intrinsic quantization on the unit sphere, includingdefinitions of great and small circles, spherical triangles, geodesic distance, Slerp interpolation,the Fréchet mean, spherical Voronoi regions, centroid conditions, and quantizationdimensions. Building upon this framework, we develop explicit continuous and discretequantization models on spherical curves, namely great circles, small circles, and greatcircular arcs—supported by rigorous derivations and pedagogical exposition. For uniformcontinuous distributions, we compute optimal …

Improving Compliance With Safe Sleep Guidelines For Vulnerable Patients In A Community Safety Net Hospital Neonatal Intensive Care Unit, Andrew Beverstock, Samantha Carlton, Hillary Lee, Thomas Lu, Kelsi Morgan, Ashlee Smith-Patel, Kelli Phillips, Joseph Hagan, Pablo Lohmann, Caraciolo Fernandes, Lisa Owens, Daniela Dinu

Faculty, Staff and Students Publications

Objectives: Congenital diaphragmatic hernia (CDH) often coexists with fetal growth restriction (FGR). The observed-to-expected (O/E) total fetal lung volume (TFLV) is used to assess CDH severity, predict outcomes, and direct fetal interventions. Expected TFLV measurements traditionally rely only on gestation age (GA). This simulation assesses how incorporating weight-adjusted GA norms affects O/E TFLV calculations in patients with isolated CDH and FGR.

Methods: A simulated dataset (n=1,005) utilized published mean fetal weight and TFLV references. Computer-generated variables included observed weights (3rd-10th %ile), O/E TFLV (10-65 %), and percent liver herniation (0-42 %). GA estimates were corrected by weight and used to …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …

Integrating Optical And Radiofrequency Interferometry For Enhanced Phase Sensing, Ruimin Jie, Zhaopeng Zhang, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Interferometry is a crucial investigative technique used across diverse fields to achieve high-precision measurements. It works by analyzing the phase difference between two interfering waves, which results from variations in optical path lengths within an interferometer. We introduce a novel method for directly measuring changes in the phase difference within an optical interferometer, importantly, with the added advantage of a controllable enhancement factor. This approach is achieved through a two-step process: first, the optical phase difference is encoded into a sub-GHz radiofrequency (RF) signal using microwave-photonic manipulation; then, RF interferometry-assisted phase amplification is implemented at the destructive interference point. In …

Sapphire Optical Fiber Bragg Grating Sensors Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Sapphire fiber Bragg gratings (SFBGs) have attracted growing interest for high temperature sensing in harsh environments, yet their interrogation typically relies on optical spectrum measurements, demanding a high-resolution optical spectrum analyzer (OSA) that is bulky, expensive, and constrained in acquisition speed. Moreover, the inherently multimode nature of sapphire fiber further complicates spectrum-based demodulation, thereby limiting the achievable sensing resolution. In this paper, we propose and experimentally demonstrate a microwave-photonic interrogation approach for SFBG sensors. Instead of measuring the optical reflection spectrum, the complex frequency response in the microwave domain of an SFBG is acquired using a vector network analyzer (VNA) …

Resolving Stiffness Trade-Offs In Simultaneous Pressure And Vibration Sensing Using A Corrugated-Tube Fiber-Optic Sensor, Yizheng Chen, Yan Tang, Jie Huang, Qi Zhang, Biyao Shi, Zewei Wu

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes and experimentally demonstrates a corrugated-tube-based fiber-optic sensor capable of measuring pressure, vibration, or both simultaneously. To address the limited sensitivity of conventional diaphragm-based designs, the sensor incorporates an optimized corrugated tube that balances the conflicting stiffness requirements for pressure and vibration measurements. The corrugated tube, acting as a mechanical transducer, is integrated with an extrinsic fiber-optic Fabry–Perot interferometer (EFPI). The EFPI cavity is formed between a reflective surface at the sealed end of the corrugated tube and the cleaved end face of an optical fiber fixed within a mounting assembly. In this configuration, displacement of the corrugated …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …