Digital Commons Network^™

An Investigation On Downwind Impacts Of The Keweenaw Peninsula On Lake-Effect Snow Events, Thomas M. Pavell

Dissertations, Master's Theses and Master's Reports

Lake-effect snow (LES) produces copious amounts of snow across the Great Lakes region. While mechanisms and impacts are well-understood, they remain difficult to observe and study over Lake Superior and the Upper Peninsula of Michigan due to a large gap in radar coverage and sparse in-situ measurements. The goal of this project aimed to characterize variables present across Lake Superior and counties on and downstream of the Keweenaw Peninsula that contribute to the formation and evolution of lake-effect snowbands. Nine different lake-effect snow events were analyzed in this project, identifying structures and features resulting from upstream passage over the Keweenaw …

Correlation Of Mwd Parameters And Soil Properties In Nebraska With Geospatial Visualization Of Borehole Data, Michael N. Erzuah

Dissertations, Master's Theses and Master's Reports

One of the techniques used for recording a drilling system in terms of its mechanical response is Measurement While Drilling (MWD). A combination of recorded MWD parameters can be used to form compound parameters by utilizing different physics-based equations. Several engineering and index properties of the subsurface material can be correlated using these combined parameters for site characterization. In this study, we investigated the outcome of correlations between different compound parameters and SPT-N values using MWD data from four different boreholes in the state of Nebraska, USA drilled using tricone bits and mud rotary method. An interactive web map was …

Nondestructive Evaluation Of Additively Manufactured Parts Using Resonant Inspection And Frequency Domain-Based Correlation Criteria, Gita Deonarain

Dissertations, Master's Theses and Master's Reports

Additive manufacturing (AM) enables the production of highly customized and geometrically complex components; however, these parts remain susceptible to a wide range of defect types and severities. The combination of complex geometries and distributed defects presents a significant challenge for post-process nondestructive evaluation (NDE). Conventional inspection techniques, such as computed tomography and ultrasonic testing, are often limited by geometry, material, accessibility, and cost, while in situ monitoring is not yet sufficiently mature to replace post-process inspection.

This dissertation establishes the Frequency Domain Assurance Criterion (FDAC) as a quantitative, vibration-based framework for defect detection in AM components. FDAC captures spatial–spectral correlations …

The Excess Path Length Distribution: A Stochastic Model For Sample-Based Path Planners, Chaz B. Cornwall

Dissertations, Master's Theses and Master's Reports

Through random sampling, sample-based path planners enable autonomous agents to quickly find paths without human intervention. However, due to the paths' randomness, sample-based path planners currently require additional verification, partially nullifying agents' ability to act autonomously. I set out to characterize this uncertainty so humans know what to expect from these path planners and know how to alter the path planner to desired specifications. To ensure the results are theoretical as well as practical, I first create a stochastic model of path length uncertainty using the trade-off between sampling time and optimality. By leveraging this model, my proposed algorithm reduces …

Shm For Incipient Buckling Detection In Overloaded Structures Using Nonlinear System Identification Algorithms On Redundant Data Sets, Padmanabh Shridhar Desai

Dissertations, Master's Theses and Master's Reports

Structural health monitoring (SHM) detects and characterizes damage to predict failure, but failures such as buckling, which are not predicated on traditional damage modalities, are harder to detect. Direct load measurements are costly and difficult to implement (especially for dead loads) as they require copious numbers of sensors, which must be installed before loading is present. Vibration-based detection is a good alternative because it can infer global structural characteristics with relatively few sensors. This dissertation presents an SHM approach for detecting incipient buckling in structures under excessive loads based on non-linear models fit from measurements of small lateral vibrations due …

Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend

Dissertations, Master's Theses and Master's Reports

The concept of neighborhood has been long studied with little agreement beyond the notion that neighborhoods are somewhat self-contained areas within a wider urban environment. Despite the lack of a finite definition, there is wide agreement of the importance of studying population dynamics at the neighborhood scale. Many attempts have been made to spatially define, measure, and quantify contemporary neighborhoods, but less attention has been given to methods to spatially define historical neighborhoods. In this paper, we utilize a historical spatial data infrastructure for the city of London, Ontario to develop a viewshed methodology that recognizes that ‘neighborhood’ is unique …

Experimental Characterization Of Photonic Crystal Based Invisibility Cloak Under Tm-Polarized Microwaves, Muhammad Danyal

Dissertations, Master's Theses and Master's Reports

Electromagnetic invisibility cloaks guide waves around an object so that the transmitted wavefront remains undisturbed. Most experimental microwave cloaking studies have focused on transverse electric (TE) polarization due to established measurement techniques. In this thesis, the experimental realization and characterization of a dielectric photonic crystal cloak operating under transverse magnetic (TM) polarization are presented. A measurement system operating in the X-band was developed to map the electric field distribution of the transmitted waves. Cloaking performance was first evaluated qualitatively by comparing numerical and experimental field distributions, where restoration of a flat wavefront indicated effective cloaking. Quantitative evaluation was performed by …

Development And Calibration Of A 2-D Diesel Oxidation Catalyst Filter (Docf) Model With Spatially Varying Washcoats Using Spacims And Engine Loading Data, Thomas K. Price

Dissertations, Master's Theses and Master's Reports

Diesel engine exhaust contains regulated species, including carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter (PM). Meeting increasingly stringent emission standards typically requires multiple aftertreatment components, motivating the development of multifunctional devices that reduce system size, cost, and catalyst usage. Computational models are essential for guiding this design process; however, existing models primarily focus on single-function devices and rarely capture the behavior of multifunctional systems with multiple catalyst washcoats. This work presents a physics-based model of a wall-flow diesel oxidation catalyst filter (DOCF), a multifunctional device that integrates the roles of a diesel oxidation catalyst and a diesel particulate filter …

On The Vibrational Dynamics Of Wind Turbine Blades: The Oscillatory Response To Gust Pulses, And The Physical Mechanisms Behind Them, North A. Yates

Dissertations, Master's Theses and Master's Reports

An easily noticed trend in the utility-scale wind turbine industry is that the size of the machines has continued to increase over time. While this may have benefits in terms of increasing the power generation for a single turbine, a major drawback is the rate with which the weight of the turbine blades grow. To ensure these larger machines can be utilized, efforts are being put forth to create lighter blades. This may fix the weight issue, but brings on a new one; these lighter blades can also be more flexible than previously studied ones. It is, therefore, vitally important …

Computational And Ai Frameworks For Identifying Key Regulatory Genes And Their Target Genes In Plants And Humans, Md Khairul Islam

Dissertations, Master's Theses and Master's Reports

This dissertation presents computational and AI-driven frameworks for identifying key regulatory genes and their downstream targets across plant and human biological systems. Three studies address distinct challenges in genomic regulation using advanced machine learning and bioinformatics approaches.

The first study introduces DyGAF (Dynamic Gene Attention Focus), a dual-attention transformer framework that identifies and ranks disease-relevant biomarker genes by simultaneously modeling independent molecular responses and interdependent regulatory network behavior. Two attention models provide complementary perspectives on gene importance and are fused through a novel combination metric. Applied to COVID-19 nasopharyngeal swab profiles, the attention-weighted representations achieved 94.23% classification accuracy, high sensitivity, …

Reading Between The Lines: Protected, But Not From Interpretation, Hooriya Habib

Dissertations, Master's Theses and Master's Reports

In the realm of television, audiences are interactive viewers who decode meaning based on their lived experiences. Given that each culture has its own set of cultural codes it uses as a lens to navigate life, meanings do not remain constant. This cultural media study breaks down three advertisements to study the effectiveness of these advertisements in relation to religious and cultural codes. Using Stuart Hall’s (1980) encoding/decoding model, an oppositional reading was employed to understand the disconnect that may be caused between an audience of rural Pakistani women and the producers. Objects of focus were nonverbal codes such as …

Physicochemical Characterization Of Small Extracellular Vesicles: Effects Of Immobilization, Isolation, And Disease State, Bianca M. Mercado Velez

Dissertations, Master's Theses and Master's Reports

Cancer treatments and survival outcomes have improved significantly in the last couple of decades, with survival rates increasing in the U.S. Despite improvements in treatment outcomes, early detection and treatment are crucial for improving cancer prognosis and survival rates. The standard cancer diagnostic procedure of tissue biopsy is highly invasive, leading to the further spread of cancer in some cases. Alternatively, the extraction of biofluids from cancer patients, also called a liquid biopsy, is increasingly popular because it is less invasive and more representative of the tumor microenvironment, which contains cancer cells, tumor genetic material, and extracellular vesicles, including small …

Antenna-Based Sensors For Dielectric Characterization Of Materials, Hilary Scott Nkimbeng Cho

Dissertations, Master's Theses and Master's Reports

This research introduces antenna-based sensors for dielectric characterization aimed at overcoming the limitations of conventional microwave sensors. Although traditional microwave sensors are widely used for their noncontact operation, high sensitivity, and ability to penetrate various materials, they often face challenges such as large size and high-power consumption. To address these issues, antenna-based sensors are explored for their compactness, ease of fabrication, and flexible design adaptability across diverse sensing applications. An in-depth analysis of multiple antenna sensor configurations is conducted, followed by the design and development of high-performance sensing structures. A saw-tooth slot antenna sensor is developed for highly sensitive liquid …

Applied Forest Restoration And Conservation In Michigan: Advancing American Beech Restoration And Documenting A Historical Insect Collection, Thomas E. Panella

Dissertations, Master's Theses and Master's Reports

Forest restoration and conservation require both practical management approaches and the preservation of biological resources that support future research. This dissertation presents applied research conducted in Michigan that advances American beech (Fagus grandifolia) restoration in response to beech bark disease (BBD) while documenting an important historical entomological resource. Chapters 1–3 focus on overcoming practical barriers to American beech restoration. Restoration protocols were developed and refined for identifying BBD-resistant trees, graft propagation, rootstock collection, container production, and the field establishment of grafted BBD-resistant trees. A greenhouse experiment evaluated the influence of growing media and fertilization on container stock quality, …

First-Principles Investigation Of Quasi-One-Dimensional Van Der Waals Magnets For Advancing Low-Dimensional Spintronics, Alyssa Horne

Dissertations, Master's Theses and Master's Reports

Van der Waals (vdW) magnets have been of great interest for advancing low- dimensional spintronics. A notable example is the quasi-one-dimensional (Q1D) vdW CrSbSe₃, as it is composed of individual one-dimensional units that are held together by the vdW forces. Finding other Q1D vdW magnets that exhibit non-metallic behavior together with long range ferromagnetic ordering is critical in developing next generation spintronics. Here in, using first-principles density functional theory (DFT), we investigate the compositional effects on electronic and magnetic behavior of Cr_1–xMn_xSbSe₃ (x = 0, 0.5, 1). When 50% of Cr is replaced …

Beyond Satisfaction: Developing A Data Storytelling Evaluation Protocol For Stem Equity Program Assessment, Karen Colbert

Dissertations, Master's Theses and Master's Reports

Higher education institutions routinely evaluate equity initiatives using measures of participation, engagement, and satisfaction. While these approaches provide useful information about program delivery, they offer limited insight into whether interventions change how participants understand institutional inequities. As a result, important dimensions of organizational learning and awareness often remain difficult to detect, particularly within STEM higher education environments where evaluation systems frequently emphasize measurable outputs over deeper indicators of change.

This dissertation examines how awareness-related outcomes can be identified, measured, and communicated within equity intervention contexts. Using a three-study design, the research first presents a systematic review of equity intervention evaluation …

Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong

Dissertations, Master's Theses and Master's Reports

Accelerating shoreline erosion, fluctuating lake levels, and climate-induced hazards are transforming the Great Lakes’ freshwater coasts, exposing the limitations of static and inequitable management frameworks. This dissertation investigates how Michigan’s coastal governance systems produce and manage vulnerability along the Lake Michigan shoreline by integrating geospatial modeling, institutional policy analysis, and environmental justice theory. It argues that both physical processes and institutional designs co-determine patterns of exposure, protection, and equity. The research begins by developing a refined Coastal Vulnerability Index (CVI) tailored for lacustrine environments, applying it to Muskegon County to assess how shoreline change, armoring, and seasonality influence localized risk. …

Characterization And Antibacterial Assessment Of An Isoborneol-Loaded Nanoemulsion, Sharon M. Rodriguez Villacis

Graduate Studies Theses and Dissertations 2026

In the United States, about 35,000 fatalities occur annually due to antibiotic resistant infections. It is progressively becoming one of the largest challenges when treating hospital-acquired infections. This decline in effectiveness of commonly used antibiotics makes it essential to identify, synthesize, and formulate compounds that possess antimicrobial activity against these common pathogens. Isoborneol, a compound that is naturally occurring terpene that can be derived from the Camphor tree, Cinnamomum camphora, is known for its antimicrobial properties in traditional medicine and in prior literature. To assess this hypothesis, an oil-in-water (OW) nanoemulsion of isoborneol was synthesized, characterized, and assessed for …

The Power Of Role-Modelling: White Teacher Educators Normalising Anti-Racism And Cultural Reflexivity For White Pre-Service Teachers, Mary-Anne Macdonald, Sarah Booth, Helen Mills, Robert Somerville

Research outputs 2022 to 2026

Every child has a right to feel culturally safe in schools, yet for countless Indigenous students this is not the case. Many White pre-service teachers in Australia enter initial teacher education with a limited understanding of racial identity, Indigenous knowledge or White anti-racism. This autoethnographic study applies Social Cognitive Theory and the Theory of Planned Behaviour to understand the role of the White teacher educator in racial conscientisation of White pre-service teachers. We examine how White teacher confidence in enacting anti-racist behaviours builds when White teacher educators role-model the professional approaches which White teachers can use to teach about race …

Multiparametric Flow Cytometry Immune Profiling Of Pulmonary And Extra-Pulmonary Tuberculosis Reveals Distinct Blood-Based Biomarker Signatures, Kalaiarasan Ellappan, Prakash Babu Narasimhan, Harriet N. Garlant, Seshadri Vasan, Komal Jain, Saka Vinod Kumar, Vishnukanth Govindaraj, Vir Singh Negi, Karen E. Kempsell

Research outputs 2022 to 2026

This study investigated immune cell distributions, cell-specific immune markers, and selected biomarker targets in pulmonary tuberculosis (PTB) and extrapulmonary tuberculosis (EPTB) using multiparametric flow cytometry (MFC). Whole blood was collected from 45 individuals, including healthy controls (HC), EPTB, and PTB patients (n = 15/group). Peripheral blood leukocytes were analysed by MFC to characterize CD4+ and CD8+ T cells, natural killer (NK), invariant NKT (iNKT) and NKT cells, classical (CM), intermediate (IM) and non-classical monocytes (NCM), and activated monocytes (AM). Expression of GBP1, CALCOCO2, IFIT3, SNX10, ARG1, PD-1, and PD-L1 was assessed across these immune subsets. Increased frequencies of NK, NKT, …

Cardiovascular–Kidney–Metabolic Syndrome Through The Lens Of Gut‑Derived Uremic Toxins, Chudan Xu, Matthew Snelson, Francine Z. Marques

Research outputs 2022 to 2026

Cardiovascular–Kidney–Metabolic (CKM) syndrome represents a complex, interconnected cluster of cardiovascular disease, chronic kidney disease, and metabolic disorders such as obesity and type 2 diabetes. These conditions share overlapping metabolic, inflammatory, and vascular pathways, with the gut microbiome increasingly recognised as a key contributor and common underlying risk factor. Uremic toxins, traditionally considered waste products of host and microbial metabolism, are now recognised as active mediators of tissue damage across the CKM spectrum, particularly in the context of impaired renal function. Their production and accumulation are amplified by disrupted intestinal barrier integrity, chronic inflammation, and reduced renal clearance, collectively driving systemic …

Combined Effects Of Cumulative Triglyceride-Glucose And Blood Pressure On Stroke In Middle-Aged And Older Chinese Adults: A Longitudinal Analysis, Xinyue Wang, Wen Zheng, Xiangqian Jin, Hongzhi Liu, Jiheng Hao, Liyong Zhang, Yuanyuan Gu, Haifeng Hou, Wei Wang

Research outputs 2022 to 2026

Background: The triglyceride-glucose (TyG) index has increasingly been recognised an indicator for stroke risk. We aimed to explore the relationship between TyG and blood pressure (BP) and the combined effects of cumulative TyG (CumTyG) and cumulative BP (CumBP) on stroke risk in a cohort of Chinese middle-aged and older adults. Methods: We enrolled 5138 participants from the 2011–2018 waves of the China Health and Retirement Longitudinal Study. Cumulative TyG and BP exposures were recorded between 2011 and 2015, and stroke incidence was then followed up until 2018. We conducted a cross-lagged panel analysis to address the temporal and directional relationships …

Customer Participation In Service Recovery: Accounting For The Role Of Customers’ Perceived Control And Empowerment In Hotel Services, Aron O'Cass, Shahin Sharifi, Vida Siahtiri, Atefeh Saniee

Research outputs 2022 to 2026

Customer participation in service recovery is common, yet little is known about how different participation roles shape recovery evaluations. This gap is especially salient in hotels, where recovery often unfolds under time pressure and heightened emotions. We conceptualize participatory service recovery as involving two distinct customer roles: solution identification and solution implementation. Across three studies, we examine how these roles shape recovery satisfaction and whether perceived control and psychological empowerment help shape these effects. Study 1 uses the critical incident technique to identify role-specific participation behaviours and customers' interpretations of their recovery involvement. Studies 2 and 3 use scenario-based experiments …

Efficacy And Effectiveness Of Melatonin For The Management Of Musculoskeletal Pain: A Systematic Review And Meta-Analysis Of Placebo And Active Controlled Trials, Kangchao Wu, Ting Him Ho, Paula R. Beckenkamp, Michelle Hall, Hanzhi Zhang, James Puterflam, Karin Due Bruun, Jianhua Lin, Christopher Gordon, Ron Grunstein, Manuela L. Ferreira, Paulo Ferreira

Research outputs 2022 to 2026

Melatonin may provide benefits for managing musculoskeletal (MSK) pain, and this review evaluated its efficacy and effectiveness on pain intensity and sleep quality. We searched 6 databases from inception to April 2025 and included randomized controlled trials in people with chronic or postoperative MSK pain reporting pain or sleep outcomes. Comparators included placebo or active controls (eg, analgesics). Random-effects meta-analyses were performed using mean differences with 95% confidence intervals. Subgroup analyses were conducted by comparator type. Sensitivity analyses included only low-risk studies. Certainty of evidence was assessed using GRADE. Twenty-three studies (2028 participants) were included. For people with chronic MSK …

Inked Mobilities: Tattoos As Embodied Visual Narratives Of Youth Migration Between Italy And Australia, Giulia Marchetti

Research outputs 2022 to 2026

This article examines tattoos as embodied visual narratives within a broader study on youth transnational mobility (2019-2023). Focusing on recent Italian migration to and from Australia, 13 tattoos were documented among the 36 participants, acquired shortly before departure, during the stay in Australia, or upon return to Italy. Methodologically, the article proposes tattoo-based interviews as a participatory visual method that mobilises permanently inscribed images as sites of visual elicitation, enabling forms of reflection and storytelling. Tattoos thus operate as relational spaces of dialogue, co-interpretation, and reflexive meaning-making between researcher and participants. Epistemologically, tattoos are approached as visual narratives through which …

Is A Fear Of Death Keeping You Awake At Night? Death Anxiety Predicts Insomnia Through Nightmare Severity, Rachel E. Menzies, Jessie Brown, Mitchell Turner, David Cunnington, Malisa Burge, Ian C. Dunican, Hailey Meaklim

Research outputs 2022 to 2026

The fear of death (death anxiety) is a risk factor for various mental health conditions. Death anxiety has been theorized to elicit physiological arousal and worry and is empirically associated with attachment insecurity, each of which has been linked to disrupted sleep. However, limited research has explored the relationship between death anxiety, nightmares and insomnia. We examined the relationship between death anxiety and insomnia, as well as attachment style as a potential moderator, and nightmare severity as a possible mediator. Five hundred and fifteen adults completed an online survey; 70% were female, and 89% resided in Australia. Regression analyses revealed …

Let’S Make The Change: Addressing The Knowledge Gaps And Building Confidence In Teaching Aboriginal Perspectives For Pre-Service Teachers, Sarah Booth, Libby Jackson-Barrett, Mary Anne Macdonald, Renae Isaacs-Guthridge, Sian Bennett

Research outputs 2022 to 2026

Teaching Aboriginal perspectives and Aboriginal students by non-Indigenous teachers can feel daunting; however, this need not be the case. This study focuses on two frameworks that can be used to motivate pre-service teachers to feel more confident in teaching Aboriginal perspectives even when starting with trepidation in this area. To explain further, this study explored the impact an Aboriginal Contexts in Education unit had on pre-service teachers’ readiness to teach Aboriginal students and Aboriginal curriculum. Through two frameworks pre-service teachers were exposed to a range of Aboriginal perspectives through Aboriginal educators, authors, and resources, and spoke of their appreciation of …

Multilevel Nested Paradoxes: How Organizational Leaders Interpret And Manage Tensions, Uzma Batool, Muhammad Mustafa Raziq, Peter Galvin, John Lewis Rice

Research outputs 2022 to 2026

Organizational actors face multiple paradoxical tensions that are not only intertwined with one another but also nested across different levels of the organizational hierarchy. Despite their importance, little is known about how such paradoxical tensions are interpreted and managed by organizational leaders. To explore this phenomenon, we conducted semi-structured interviews and collected multilevel data from 38 respondents, including corporate executives, team leaders, and managers in the Pakistani telecommunications sector. Through an interpretive phenomenological analysis of participants’ lived experiences, we developed a multilevel nested paradox model. This model revealed four paradoxes nested both within and across levels: task efficiency and employee …

Optimizing Subgroup Selection In Petrochemical Industries: A Robust Data Envelopment Analysis Approach For Uncertainty Management, Sadegh Niroomand, Hilda Saleh, Morteza Shafiee, Dragan Pamucar, Ali Mahmoodirad

Research outputs 2022 to 2026

This study addresses the critical challenge faced by organizations in selecting an optimal subgroup of decision-making units (DMUs). Such a selection procedure can significantly influence efficiency, profitability, and strategic development. Recognizing the limitations of existing methods in handling inexact data and incorporating managerial preferences, this study proposes a novel framework that integrates data envelopment analysis (DEA) with binary linear programming models. The model applies belief-degree–based representations of uncertainty to capture imprecise inputs and outputs. For this model, two solution approaches—namely, chance-constrained programming and expected value approaches—were developed. These approaches are suitable for real-world applications using standard optimization software. The effectiveness …

Optimizing The Size And Siting Of Distributed Generation In Unbalanced Distribution Systems With Multi-Objective Reptile Search Algorithm, Pema Dorji, Chimi Pelden Dorji, Stefan Lachowicz, Octavian Bass

Research outputs 2022 to 2026

This paper presents the Multi-Objective Reptile Search algorithm for identifying ideal rating and location of distributed generation in unbalanced grids, focusing on minimizing power losses, total costs, and carbon emissions. The proposed methodology integrates DIgSILENT PowerFactory and Python platforms to evaluate unbalanced IEEE distribution feeders under varying power factor conditions. The results demonstrate that optimal DG configurations involve strategically positioning multiple units to enable both active and reactive power injection, significantly improving overall system performance across multiple objectives and voltage deviation index. The analysis identifies an optimal PF range between 0.75 and 0.89, with unity power factor operations yielding suboptimal …