Digital Commons Network^™

Error-Driven Density Control For Compact Gaussian Splatting Under Sparse Supervision, Abdelrhman Elrawy

Theses and Dissertations (Comprehensive)

This thesis studies efficiency and stability challenges in Gaussian-splatting-based reconstruction under sparse supervision. In few-shot novel view synthesis, standard 3D Gaussian Splatting (3DGS) can overfit the limited training views and grow an unnecessarily large number of primitives due to limitations in its Adaptive Density Control (ADC) mechanism. This thesis introduces an error-driven reformulation of ADC that triggers densification using opacity gradients as a lightweight proxy for rendering error, and shows that such aggressive densification must be paired with delayed and conservative pruning to prevent destructive create--destroy cycles. When combined with depth-based geometric regularization, the resulting framework produces substantially more compact …

Robust And Interpretable Medical Image Segmentation Via Retrieval And Mechanistic Analysis, Salma Ahmed

Theses and Dissertations (Comprehensive)

Medical image segmentation is a critical component of clinical decision-making, yet deep learning based segmentation models face persistent challenges. These models typically require large volumes of densely annotated data, exhibit strong sensitivity to domain shifts across scanners and patient populations, and lack explicit anatomical priors. Furthermore, despite continual architectural advances beyond fully convolutional networks, most segmentation models remain opaque, where they lack the granularity required for component-level analysis. As a result, when segmentation models fail, it is difficult to identify which internal representations are responsible, limiting developers’ ability to diagnose errors, improve robustness, or establish trust in clinical settings. Existing …

Taylorkan-Vit: Parameter-Efficient Vision Transformers For Medical Image Classification, Kaniz Fatema, Dr. Emad Mohammed, Dr. Sukhjit Singh Sehra

Theses and Dissertations (Comprehensive)

Effective and interpretable classification of medical images remains a critical challenge in computer-aided diagnosis, particularly in data-scarce and resource-constrained clinical settings where traditional deep learning models prove impractical. This study addresses the fundamental barrier to Vision Transformer adoption in medical imaging—massive parameter counts and data requirements—through a systematic two-phase methodology. Phase 1 evaluates three spline-based Kolmogorov–Arnold Network (KAN) variants to identify the optimal nonlinear approximation function for parameter-efficient medical image classification: SBTAYLOR-KAN (B-splines with Taylor series), SBRBF-KAN (B-splines with Radial Basis Functions), and SBWAVELET-KAN (B-splines with Morlet wavelets). Comprehensive experiments across brain MRI, chest X-rays, and tuberculosis datasets—without any image …

Three Essays On Corporate Bond Short Selling, Climate And Credit Risks, Manisha Thapa

Theses and Dissertations (Comprehensive)

This dissertation comprises three essays investigating topics on Corporate Bond Short Selling, Climate and Credit Risks.

The first essay addresses the question: Does climate risk influence bond short selling? We address this question by studying how climate risk influences the relationship between corporate bond short selling and subsequent credit default swap (CDS) spreads. We find that future CDS spreads are strongly related to bond short selling for the high climate risk firms. In particular, our fixed effects triple difference-in-differences (DiD) regressions show that sensitivity of subsequent CDS spreads to lagged bond short selling is significantly higher for firms with high …

Investigating The Immunostimulatory Potential Of Dsrna-Silk Nanoparticle Complexes In Melanoma, Samuel J. Peters

Theses and Dissertations (Comprehensive)

The rate of resistance to immune checkpoint inhibitor treatment in metastatic melanoma is quite high, with an overall rate of 70%. Melanoma achieves these high rates of resistance by suppressing the immune response in the tumour microenvironment (TME), making them immunologically “cold”. The type 1 interferon response could be leveraged to initiate immune responses in melanoma, making their “cold” TMEs “warm” again. Double-stranded ribonucleic acids (dsRNAs) are potent activators of an innate immune response; however, they are susceptible to degradation by nucleases present in the body and need a carrier. Silk nanoparticles (SNPs) are an ideal drug-delivery platform as they …

“My Voice Is Trauma, My Voice Is Healing:” A Feminist, Trauma-Informed Embodied Study On The Impact Of Gender-Based Violence In Classical Music Communities, Sarah Pearson

Theses and Dissertations (Comprehensive)

This Social Work doctoral dissertation explores the impact of gender-based violence (GBV) in classical music communities on survivor-artists. This is an intersectional feminist, trauma-informed, embodied study that draws on these three theoretical concepts to conceive of classical music as an institution of both colonial patriarchal power and a site of spirituality and meaning-making. The issue of systemic GBV in the performing arts has been a focus of headline news and sensational celebrity stories in the last decade following the MeToo hashtag and is slowly gaining some attention in academic research.

For this qualitative study, the sample consisted of 14 participants …

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 …

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. …

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 …

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 …

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 …

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 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 …

Strong Q-Analogues For Values Of The Dirichlet Beta Function, Ankush Goswami, Tim Huber

School of Mathematical & Statistical Sciences Faculty Publications

An infinite class of relations between modular forms is constructed that generalizes evaluations of the Dirichlet beta function at odd positive integers. The work is motivated by a base case appearing in Ramanujan’s Notebooks and a parallel construction for the Riemann zeta function. The identities are shown to be strong q-analogues by virtue of their reduction to the classical beta evaluations as 𝑞→1− and explicit evaluations at CM points for |𝑞|< 1. We also determine asymptotic formulas for the Fourier coefficients of the associated modular forms.

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 …

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) …

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 …

Deep Learning Approach For Microwave Imaging Based On Deep Convolutional Asymmetric Encoder-Decoder Structure And Physics-Induced Loss, He Ming Yao, Shiji Song, Michael Kwok Po Ng, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we introduce an innovative deep learning (DL) methodology designed for real-time quantitative microwave imaging (MWI). Our approach is centered around the utilization of a deep convolutional asymmetric encoder-decoder structure (DCAEDS), which requires only a single-frequency far-field measurement of the electromagnetic (EM) scattered field as input and subsequently predicts the contrasts (permittivities) of the target materials. During the offline training process, we incorporate an EM forward solver specifically crafted to compute the EM scattered field generated by the predicted target contrasts (permittivities) produced by the DCAEDS. The DCAEDS is seamlessly integrated with this EM forward solver to optimize …

Gauge-Invariant Gravitational Wave Polarization In Metric F(R) Gravity With Cosmological Implications, Ramesh Radhakrishnan, David Mcnutt, Delaram Mirfendereski, Alejandro Pinero, Eric Davis, William Julius, Gerald Cleaver

Physics & Astronomy Faculty Publications

We develop a fully gauge-invariant analysis of gravitational-wave polarizations in metric 𝑓⁡(𝑅) gravity with a particular focus on the modified Starobinsky model 𝑓⁡(𝑅) =𝑅 +𝛼⁢𝑅2 −2⁢Λ, whose constant-curvature solution 𝑅𝑑 =4⁢Λ provides a natural de Sitter background for both early- and late-time cosmology. Linearizing the field equations around this background, we derive the Klein–Gordon equation for the curvature perturbation 𝛿⁢𝑅 and show that the scalar propagating mode acquires a mass 𝑚2𝜓 =1/(6⁢𝛼), highlighting how the same scalar degree of freedom governs inflationary dynamics at high curvature and the propagation of gravitational waves in the current accelerating Universe. Using the scalar–vector–tensor …

Gpu And Pso Accelerated Low-Latency Fully-Coherent All-Sky Search For Compact Binary Coalescences, Soumya D. Mohanty

Physics & Astronomy Faculty Publications

The fully-coherent all-sky (FCAS) search, which combines data from a gravitational wave detector network into a single likelihood function, is the preferred method prescribed by statistical theory for Gaussian noise. However, so far, its exorbitant computational cost has blocked its use for compact binary coalescence searches. We introduce a solution combining Particle Swarm Optimization with Graphics Processing Unit (GPU) acceleration that is ≈ 50-fold faster than real-time analysis. This transforms the prospect of a low-latency FCAS search on all GW data into a practical reality for the first time. With large-scale simulations enabled by this speedup, we examine the issue …

Efficient Search For Detection Candidates Using A Peak Finder Strategy For All-Sky-All-Frequency Gravitational Wave Radiometer, Arindam Sharma, Deepali Agarwal, Sanjit Mitra

Physics & Astronomy Faculty Publications

The first all-sky-all-frequency (ASAF) radiometer search was conducted using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. The significance of this search lies in its fast and unmodeled approach, leveraging a cross-correlation technique to identify common signals across the detector network. As a result, this method serves as an excellent alternative to search for unknown or poorly modeled continuous wave sources and narrow band components of the gravitational wave (GW) background. For continuous wave sources whose waveform can be modeled, this method can serve as the first stage of a hierarchical scheme by …

Pediatric Both Bone Fracture Leading To Median Nerve Entrapment: A Case Report, Joshua Lyndon Dale, Frank Gerold

School of Medicine Publications

Introduction: Both-bone forearm fractures are common in pediatric patients and most often result from a fall onto an outstretched hand. Although rare, nerve entrapments, particularly of the median nerve, can occur, especially following closed reduction.

Case report: We present the case of a 13-year-old male who sustained a both-bone forearm fracture while on vacation in Mexico. The injury was managed with closed reduction and casting. Despite appropriate treatment, the patient developed progressive numbness, tingling, and thenar atrophy in the median nerve distribution. Electromyography and nerve conduction studies confirmed significant median nerve dysfunction. Surgical exploration revealed the median nerve entrapped in …

Drone Dichotomy: Investigating The Application Of Unmanned Aerial Systems For Offensive And Defensive Chemical, Biological, Radiological, And Nuclear-Related Tasks, Evan Jacob Martinovitch

Graduate Theses/Dissertations

This thesis investigates the application of unmanned aerial systems (UAS) for both offensive and defensive chemical, biological, radiological, and nuclear (CBRN) tasks to determine if they serve as a force multiplier on the modern battlefield. As CBRN weapons reemerge as realistic threats alongside the rapid proliferation of UAS, the intersection of these fields presents unique challenges and opportunities. Through a methodology that examines the history of the UAS-CBRN intersection, military doctrine, and the status of UAS technology, this research evaluates the capability of current and emerging UAS against specific CBRN delivery, reconnaissance and surveillance, and decontamination tasks. The analysis conducted …

Northern Luzon In A Taiwan Flashpoint: The Philippines’ Place In U.S. Strategy, Carson Keller

Graduate Theses/Dissertations

While the defense of Taiwan from a potential invasion by the People’s Republic of China (PRC) has long been a topic of debate and scrutiny in U.S. strategic thinking, the role of its southern neighbor, the Philippines, has received far less attention. This thesis argues that northern Luzon would constitute key terrain in a cross-strait conflict and may become an early target of People’s Liberation Army (PLA) operations. Its proximity to Taiwan and position along the Luzon Strait, particularly the Bashi Channel, places it at the center of efforts to control access to the hypothetical battlespace. Drawing on PLA and …

Spatial Patterns And Morphometric Evolution Of Sinkholes In Response To Watershed Hydrogeomorphology: Examples From A Karst Landscape In The Missouri Ozarks, Usa, Marcell Tóth

Graduate Theses/Dissertations

Sinkholes are characteristic enclosed depressions with internal drainage connecting the surface and subsurface karst hydrologic system. Their morphological evolution involves gradual subsidence of the ground surface and hazardous collapses. Therefore, understanding sinkhole morphometry and linked spatial distribution is critical for managing geohazards in karst watersheds. Sinkhole occurrence shows spatial variability based on watershed geomorphological attributes, surficial hydrological patterns, hydrogeological and geological settings. The aim of this research is to investigate morphometric properties and distribution of sinkholes in the carbonate karst-dominated lands of Mark Twain National Forest in Missouri, USA. The specific objectives were to (1) identify sinkhole clusters based on …

Confucian Thought As A Strategic Veil: How Western Strategy Should Correctly Compete With China, Owen Miller

Graduate Theses/Dissertations

The rise of the People's Republic of China as a peer competitor to the United States constitutes the defining geopolitical challenge of the twenty-first century, but even so, Western strategic analysis has consistently failed to engage China on its own terms. The recurrent pattern of Western misinterpretation results from projecting Western assumptions onto a state whose institutional and cultural drivers operate under fundamentally different premises, where key elements of Chinese strategic culture and the Chinese Communist Party’s (CCP) instrumentalization of Confucianism as a moral veil are instruments of domestic legitimacy and external strategic narrative. The United States must recognize that …

31p Solution Nmr Investigation Of Abasic Dna, Clarissa R. Krimmel

Graduate Theses/Dissertations

Base excision repair (BER) mechanisms fix single base lesions in DNA, such as T:G mismatches. During the base excision repair mechanism, an abasic site (AP site) is formed as an intermediate. AP sites are unstable and highly mutagenic; they can stop DNA replication. This research investigates how the conformational properties of abasic sites in DNA affect the binding recognition of enzymes involved in DNA repair mechanisms, including BER. Three different abasic sequences are being analyzed for this research project. A second project looks at the effects of a naturally occurring purine derivative, hypoxanthine, on the DNA backbone. These hypoxanthine lesions …

Strict Scrutiny And The Viewpoint Continuum, A.G. Harmon

Scholarly Articles

Consider the following instances: A cell phone photograph picturing a man's left kneecap. A statement that the speaker thinks, "The name Josiah is really cool." A woman who runs her bicycle over a business owner in order to gain celebrity and increase attention for her new podcast. An intentional lie told to acquire a job. A student who insists on answering his math exam questions in runic symbols.

At one point or another, American courts have considered the merits found in favor of instances similar to these and other like circumstances as amounting to "viewpoints." As such, they …

The Constitutional Significance Of The First American Pope: The Promise Of Listening In An Era Of Mutual Suspicion, Derek A. Webb

Scholarly Articles

Pope Leo XIV has focused a good deal of writing and speaking in the first year of his pontificate on the theme of listening, dialogue, and bridgebuilding. For Leo, listening, dialogue, and creating harmony across diverse perspectives where possible are at the heart of the Christian life. But his reflections on these themes, while rooted in theology, are aimed at a wider audience, going well beyond the church community, and addressing philosophical issues of universal human concern. Indeed, the first American pope happens to be highlighting certain ideals regarding dialogue that, while perhaps forgotten today, are central to the American …