Digital Commons Network^™

Advanced Mathematical Modeling And Data-Driven Techniques For The Diagnosis Of Diabetes Using Continuous Glucose Monitoring (Cgm) Data, Farah Morsi

Theses

Diabetes mellitus is a major and growing health challenge, particularly in the Middle East and North Africa (MENA) region. Continuous Glucose Monitoring (CGM) provides high-resolution time-series data that capture detailed glucose fluctuations over time. However, conventional CGM summary measures, such as mean glucose, standard deviation, and time-in-range, may not fully describe the nonlinear temporal structure of glucose dynamics.

This thesis investigates nonlinear dynamical approaches for analyzing CGM time series, with a focus on recurrence-based analysis and ordinal-network analysis. Recurrence-based methods, including recurrence quantification analysis (RQA), are used to characterize geometric and temporal patterns in reconstructed phase space, while ordinal networks …

استخدام تقنيات الذكاء الاصطناعي في إجراءات الاستدلال والتحقيق "دراسة مقارنة", حمد مصبح اليليلي

Theses

The Use of Artificial Intelligence Techniques in Reasoning and Investigation Procedures: Comparative Study

This research aims to analyze the role of artificial intelligence (AI) technologies in the stages of criminal investigation and inquiry through an applied analytical study. It focuses on the use of these technologies to support law enforcement and investigators with advanced scientific methods, particularly in analyzing digital evidence and accurately linking it to suspects. The study also explores the future development of these systems through their integration with AI technologies to enhance the efficiency of criminal investigation.

The United Arab Emirates has consistently been keen to develop …

On The Fractional Laplacian Type Operator, Maysam Abdulnaser Zain

Theses

In this thesis, we study analytical structures arising from Dunkl theory and their

applications to harmonic analysis and fractional Laplacian operators. Dunkl operators are differential–difference operators associated with finite reflection groups, providing a natural generalization of the classical Fourier analysis through the introduction of root systems and multiplicity functions. Within this framework, several classical transforms appear as special cases of the (k,a)-generalized Fourier transform. We study the generalized Fourier transform ��ₖ,ₐ, its kernel B_k,a (x,y), and the associated translation operator and convolution structures. Using these tools, we construct the corresponding heat …

Sea-Ice Observation In The Arctic By The Arab Satellite 813, Simulated By The Radiative Transfer Model ‘Sciatran’, Tuqa Mohsin Al Hajri

Theses

The purpose of this research is to explore the spectral behavior of sea ice and to understand how Arctic sea ice surfaces appear when they are observed with a hyperspectral sensor. This is crucial because sea ice changes a lot during the melt season, and different surface types can sometimes look similar to a human eye, but physically they are different. It is thus essential to identify the spectral differences between these surfaces. The main objective of this study is to examine how the spectra of white ice and melt ponds change when their physical and optical properties are varied, …

Control And Entrainment Of Oscillatory Dynamics In An Oncolytic Virus–Tumor Model Under Periodic Therapy Forcing, Aya Salaheddin Shujrawi

Theses

This thesis investigates the dynamics of a tumour–virus interaction model under sinusoidal periodic viral injection, using the three-compartment ordinary differential equation framework of Baabdulla and Hillen (2024). The aim is to characterise how the frequency and amplitude of periodic injection interact with the system's intrinsic oscillatory dynamics, and to identify conditions for stable frequency entrainment. Equilibrium and Hopf bifurcation analysis of the autonomous system yields a supercritical bifurcation at θ_H^auto ≈ 338.45 with intrinsic frequency Ω₀^auto ≈ 0.7552. Introducing a constant baseline injection u₀ = 0.05 raises the threshold to θ_H^forced ≈ 364.85 and shifts …

Effects Of Led Light Spectra And 1-Mcp On Postharvest Quality And Bioactive Compounds Of Cucumber (Cucumis Sativus L.) During Cold Storage, Imad Eldin Abbas Yousif

Theses

Extending postharvest quality and maintaining the nutritional value of cucumber fruit requires specific storage conditions to postpone senescence and enhance marketability. The postharvest lighting environment is a main factor that influences quality preservation for harvested biomass. The objective of this study was to investigate the effects of different light emitting diodes (LED) spectra (green, red, blue, and white LED) alone or in combination with 1-Methylcyclopropene (1-MCP) on postharvest quality and bioactive compounds of cucumber fruit during cold storage for 16 days at 5°C, the control fruit were left in the dark. For combined treatment, the fruits were exposed to 1-MCP …

Analytical And Numerical Methods For Solving Fractional Integro-Differential Equations Using The Modified Operational Matrix Method, Nour Alzoubi

Theses

Fractional calculus has attracted considerable attention in recent years because of its wide applicability to model a variety of linear and nonlinear physical phenomena across different scientific disciplines. In particular, fractional diferential equation systems have proven to be effective in describing processes with memory and hereditary properties. However, the solvability and analysis of such systems strongly depend on the type of fractional operator employed, especially in the presence of nonlocal fractional derivatives with singular kernels, which remain an open and challenging area of research.

The main objective of this thesis is to develop efficient analytical and numerical techniques for solving …

Ai-Powered Student Support And Development Platform, Wadha Rashed Alyammahi

Theses

Over the past few years, academic stress and student mental well-being have become critical concerns in educational settings, significantly affecting academic performance and overall quality of life. Students increasingly rely on digital platforms for academic support; however, many existing solutions lack the ability to adapt to users’ emotional states or provide personalized, context-aware assistance. In response to this challenge, this study presents the design and development of an intelligent, stress-aware conversational support system for students based on advanced natural language processing techniques and large language models.

The main goal of this study is to explore the effectiveness of an LLM-based …

Heat Transfer And Micropolar Characteristic Analysis For Fluid Flow Over A Contracting Permeable Infinite-Length Cylinder: A Fractional Derivative Study, Khalid Al Homran

Theses

This study presents a comprehensive analysis of heat transfer and micropolar fluid characteristics for flow over a contracting permeable infinite-length cylinder using fractional derivative modeling. The micropolar fluid model accounts for microstructure effects that are prevalent in many practical applications, such as polymeric fluids, colloidal suspensions, and biological fluids. The inclusion of fractional derivatives allows the analysis to incorporate memory effects, which provide a more accurate depiction of the physical phenomena compared to classical integer-order models. The governing partial differential equations, representing the momentum, micropolar momentum and energy transport processes, are transformed into a set of nonlinear ordinary differential equations …

Malicious Quic Traffic Detection Using Malicious Quic Traffic Detection Using Malicious Quic Traffic Detection Using Malicious Quic Traffic Detection Using, Choudhary Muhammad Zia

Theses

The enhanced QUIC protocol's encryption capabilities not only encrypt the traffic payload but also encrypt the packet headers that network security tools rely on for packet inspection. This enhanced encryption capability introduces challenges for network operators in monitoring and analyzing network traffic by creating blind spots in firewalls, intrusion detection systems, and deep packet inspection devices. Earlier research has demonstrated that training machine learning classifiers on individual QUIC packets across different classifiers has failed to detect any malicious traffic due to encrypted packet headers.

This thesis demonstrates that shifting to network flow analysis resolves this problem. Rather than analyzing individual …

The Impact Of Elevated Co2, Uv-B Irradiation, And Rising Temperature On Quinoa, Mohamed Yousif

Theses

Climate change is driving simultaneous increases in atmospheric CO₂, surface UV-B radiation, and temperature, yet most crop research has examined these stressors in isolation, leaving their combined effect on nutritional quality poorly understood. Quinoa (Chenopodium Quinoa Wild.), a stress-tolerant C3 pseudocereal, has been promoted as a climate-resilient forage and food crop for arid regions, but its performance under realistic multi-stress conditions remains uncertain. This study therefore asked whether quinoa can maintain biomass, yield, and mineral quality when exposed to elevated CO₂, enhanced UV-B, and rising temperature individually and in combination, and whether their interaction is additive or non-additive.

To …

Public Acceptance Of Meat-Reduction Policies Across Cultures: Comparing Singapore And Switzerland, Bianca Wassmann, Shu Tian Ng, Mark Chong, Angela K. Y. Leung, Michael Siegrist

Research Collection Lee Kong Chian School Of Business

Purpose – As meat-reduction policies are discussed across the globe, many are met with public resistance. Cultural values may help explain this pushback, yet their role in shaping support for food policy remains poorly understood. This study is the first to apply cultural cognition theory to food policy by examining how cultural worldviews shape the acceptance of meat-reduction interventions in Singapore and Switzerland—two economically developed countries with contrasting cultural profiles. Design/methodology/approach – In an online survey, participants (Singapore: n = 357; Switzerland: n = 495) rated their acceptance of 11 meat-reduction interventions (e.g. taxes, subsidies, labelling). We then analysed to …

The Future Of Epilepsy Care In The United Kingdom: A Roadmap For Technology-Enabled Transformation, Rohit Shankar, John Terry

Peninsula Medical School

Epilepsy is recognized to be a significant cause of premature mortality, socio-economic distress and poor quality of life in economically developed countries. Despite clear clinical guidelines, epilepsy care is marked by delayed diagnosis, fragmented management, high emergency admission rates, and pronounced health inequalities affecting rural populations, ethnic minority groups, and people with intellectual disabilities. Diagnostic pathways remain inefficient, with prolonged waits for electroencephalography (EEG), low sensitivity of routine investigations, and repeated inconclusive testing. Long-term management continues to depend on infrequent hospital visits and unreliable patient recall, contributing to suboptimal seizure control, avoidable morbidity, and preventable mortality. In the United Kingdom, …

Ldm-Morph: Latent Diffusion Model Guided Deformable Image Registration, Jiong Wu, Tinsu Pan, Kuang Gong

Faculty, Staff and Student Publications

Deformable image registration plays an essential role in various medical image tasks. Existing deep learning-based deformable registration frameworks primarily utilize convolutional neural networks (CNNs) or Transformers to learn features to predict the deformations. However, the lack of semantic information in the learned features limits the registration performance. Furthermore, the similarity metric of the loss function is often evaluated only in the pixel space, which ignores the matching of high-level anatomical features and can lead to deformation folding. To address these issues, in this work, we proposed LDM-Morph, an unsupervised deformable registration algorithm for medical image registration. LDM-Morph integrated features extracted …

“I Will Experience This Trauma Over And Over Again”: Sexual And Gender-Based Violence, Forced Migration And Structural Violence, Jenny Phillimore, Karen Block, Hannah Bradby, Hoayda Darkal, Lisa Goodson, Anna Papoutsi, Cathy Vaughan

School of Psychology

Forced migration has reached unprecedented levels as millions are forced to seek refuge from conflict, persecution, and violence. This exodus includes women enduring the traumas of displacement alongside sexual and gender-based violence (SGBV). Upon reaching supposed places of refuge, they encounter the structural violence of immigration and asylum regimes. Against this backdrop, the intersection of SGBV, forced migration, and structural violence emerges as an urgent area of study. Drawing from extensive qualitative interviews in Australia, Sweden, and the United Kingdom, we set out to examine the impact of structural violence on the lives of forced migrant survivors of SGBV. The …

A Case Series Of Hypopigmented Confluent And Reticulated Papillomatosis, Fahad Siddiqui, Ann Church, Rajiv Nathoo

GME Publications

Confluent and reticulated papillomatosis (CARP) is a rare keratinization disorder typically presenting as hyperpigmented, scaly papules that coalesce into reticulated plaques on the trunk of adolescents and young adults. Hypopigmented variants have only rarely been reported and are frequently misdiagnosed as tinea versicolor, resulting in delayed diagnosis and unnecessary antifungal therapy. We describe 2 young adults with biopsy-confirmed hypopigmented CARP who initially received multiple courses of oral and topical antifungal agents with minimal to no benefit. Both patients demonstrated widespread hypopigmented, scaly, coalescing plaques. Following histopathologic confirmation, antifungal treatments were discontinued, and oral minocycline was initiated, leading to clinical improvement. …

Happycal: Designing Text And Image-Based Supports For Savouring Positive Work Experiences, Molly Stewart, Minghao Cai, Anthony Tang, Sam Liu, Chris Mosunic, Sowmya Somanath

Research Collection School Of Computing and Information Systems

Savouring positive work experiences can promote positive affect and well-being at work, yet there is limited guidance on how digital applications can support workers to engage in savouring. We developed HappyCal, a work-focused savouring application offering two forms of savouring support: text-based, a common modality in workplace reflection tools, and images, a largely unexplored approach in work-related savouring. We conducted an exploratory qualitative study where participants (N=36) used HappyCal over five days and engaged in savouring through either a text-only modality (n=17) or text input paired with image output (n=19). We found that (1) participants in both groups reported heightened …

Collaboration In Context: The Present And Future Of Coordinated Care For New Mexico's Military-Connected Population, Zachary Bridgewater, Vincent Delsignore, Mary Rachel Keville, Lisa Marie Murray

Institute for Veterans and Military Families

With the support of the New Mexico State Legislature, the D’Aniello Institute for Veterans and Military Families (IVMF) led a multi-phase project to design a coordinated care system for New Mexican service members, veterans, and their families. In the project’s first phase, the IVMF conducted a landscape assessment to understand the needs of the military-connected community and examined the viability of a coordinated care system for the state. Key findings included strong support for coordinated care amongst veteran serving organizations, a fragmented service landscape across the state, structural barriers to care caused by rurality and geographic concentrations of resources, and …

Understanding Adolescents’ Attitudes Toward Disabilitiesto Improve Out-Of-School Programs, Vanessa Spero, David C. Diehl, John M. Diaz, Serap Gorucu

Journal of Youth Development

This study explores adolescents’ attitudes and perceptions toward individuals with disabilities in out-of-school time (OST) settings. Gaining insight into these attitudes can help inform future initiatives and interventions to develop programs that foster inclusion and greater participation of people with disabilities in OST programs. This study employed quantitative methods using the Brief Questionnaire for Adolescents on Attitudes Toward Persons with a Disability (CBAD-12A), developed by Álvarez-Delgado et al. (2020), to survey adolescents about their attitudes and perceptions toward individuals with disabilities. The results of the study revealed no statistically significant differences in attitudes toward individuals with disabilities based on whether …

4‑H Efforts Toward Demographic Representation, 1980–2025: A State‑Of‑The‑Art Review (Part 1), Jeremy Elliott-Engel, Jeff Wayne Howard

Journal of Youth Development

This state-of-the-art review synthesizes 45 years of scholarship (1980–2025) to assess how effectively the 4-H program has worked to serve a demographically representative youth population. Drawing on academic and gray literature (n=99) sources, the review traces 4-H’s evolution from its segregated land grant origins to contemporary efforts focused on access, equity, inclusion, and belonging. It documents progress in culturally responsive programming and national diversity, equity, inclusion (DEI) initiatives while highlighting persistent disparities in participation and benefit distribution. The review identifies effective strategies, enduring structural barriers, and areas where research and practice remain limited, offering a comprehensive foundation for understanding 4-H’s …

2026 June - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All,

The main weather and climate stories for Tennessee in June 2026 were several rounds of heavy rainfall that produced flash flooding in different parts of the state. Early in the month slow moving storms produced heavy downpours in different parts of the state from June 7 to 14 including areas in or around Knoxville, Nashville, and Memphis, as well as portions of Henry, Weakley, and Carroll counties in northwestern Tennessee. Four different locations across the state reported daily rainfall records between these dates.

Later in the month, more widespread heavy rains impacted southern sections of West and Middle …

Towards Efficient Continual Learning: From Memory Optimization To Foundation Models, Zilin Luo

Dissertations and Theses Collection (Open Access)

Continual learning, also termed lifelong learning, enables machine learning models to incrementally acquire new knowledge while mitigating the degradation of previously learned information—a capability essential for adapting to dynamic, real-world data environments. This dissertation investigates the core challenges of continual learning and extends its application to enhancing training efficiency in the era of foundation models. The first part of this dissertation addresses the constraints of few-shot exemplar storage with a novel compression framework. While leveraging class activation maps to downsample non-discriminative pixels, we introduce an adaptive masking model, optimized through bilevel optimization, to store more exemplars efficiently. The second part …

Towards Auto-Evaluation For Large Language Models, Jiahao Ying

Dissertations and Theses Collection (Open Access)

The rapid advancement of large language models (LLMs) has created an urgent need for evaluation methodologies that are timely, scalable, reliable, and informative. Conventional evaluation benchmarks, although essential for measuring model capabilities and guiding model development, are often constructed and maintained through labor-intensive human annotation. As LLMs continue to improve through increases in model scale, training data, and computational resources, static benchmarks may quickly lose discriminative power. Moreover, the growing use of large and diverse training corpora increases the risk of benchmark leakage, which can inflate evaluation results and obscure the true capabilities of models. These challenges call for a …

The Colonial Borders Within: Racial Profiling, Language, And Civil Juries, Jasmine Gonzales Rose

Faculty Scholarship

This Article builds on the scholarship of Kevin R. Johnson, whose work has long illuminated how immigration law and constitutional doctrine have enabled the subordination of Latines through racial profiling,2 language discrimination,3 and exclusion from civic institutions, like juries.4 His analyses of juror exclusion and the importance of a diverse judiciary underscore how the composition of civil and criminal factfinders shapes both recognition of harm and the remedies afforded.5 Long before the current period of intensified, abusive immigration enforcement, his scholarship traced the historical roots of these practices, examined their contemporary manifestations, and revealed the ways in which the law …

Teaching Telemachus: Learning To Live And Lead In A Flawed World, Sherman J. Clark

Michigan Law Review

A review of The Odyssey By Homer. Translated by Emily Wilson.

Effect Of Allocation And Allocation Avoidance Methods On Life-Cycle Impact Results For Tellurium Production From Copper Anode Slimes, Ioanna Paschalidou, Kwame Awuah-Offei, Michael Moats

Mining Engineering Faculty Research & Creative Works

The global transition toward green energy has increased demand for metals and intensified the need for sustainable supply sources. Tellurium (Te), an essential metal for photovoltaics technology, is produced primarily as a by-product of copper refinery slimes treatment. This study conducts a life-cycle assessment (LCA) study of Te production to investigate the effect of environmental impact allocation choices on LCA results in multi-product metal systems. A cradle-to-gate LCA model of the Te product system was developed in SimaPro v9.5.0.1 software by combining industrial data, Ecoinvent v3.7.1 datasets, and literature information. Environmental impacts were quantified using the ReCiPe v1.04 Midpoint method …

Physics-Informed Machine Learning-Aided Framework For Entrainment Fraction In Gas-Liquid Two-Phase Annular Flow, Anadi Mondal, Subash L. Sharma

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The liquid film flow rate or droplet flow rate in annular flow is determined by a parameter known as the entrainment fraction. Conventional empirical correlations are commonly employed for predicting the entrainment fraction; however, their applicability is often restricted to specific operating conditions and working fluids. Recently, a few machine learning (ML) models have been developed to achieve better accuracy in entrainment fraction prediction. However, these models are completely data-driven, meaning they are good for prediction in the interpolated domain, but exhibit limited generalization capability in the extrapolated domain. To address this limitation, a physics-informed machine learning-aided framework (PIMLAF), combining …

Golden And Silver Dark Sirens For Precise H0 Measurement With Hetdex, Yixuan Dang, Ish Gupta, Robin Ciardullo, Erin Mentuch Cooper, Shiksha Pandey, Dustin Davis, Surhud More, Rachel Gray, Hsin Yu Chen, Daniel J. Farrow, Caryl Gronwall, Donghui Jeong, Shun Saito, Donald P. Schneider

Physics Faculty Research & Creative Works

Gravitational waves (GWs) from compact binary coalescences are standard sirens that provide a direct measure of the source's luminosity distance, enabling an independent measurement of the Hubble constant (H0). While a bright siren—a GW event with an identified electromagnetic (EM) counterpart—provided the first such constraint, most detections, currently dominated by black hole mergers, lack EM signatures. A measurement of H0 is still possible with these dark sirens by statistically associating GW events with galaxies in existing catalogs based on the sky localization. In this work, we explore the potential of two subsets of dark sirens categorized by their localization precision: …

Phases And Dynamics Of An Impurity Immersed In One-Dimensional Quantum Droplets, Dimitrios Diplaris, Ilias A. Englezos, Friethjof Theel, Peter Schmelcher, Simeon I. Mistakidis

Physics Faculty Research & Creative Works

We explore the ground-state properties of a single impurity immersed in a one-dimensional quantum droplet medium formed by a two-component Bose mixture. Relying on ab initio simulations, we demonstrate that tuning the impurity–droplet interactions allows to controllably reshape the droplets' density profiles and associated correlation patterns. For attractive impurity-medium couplings, the impurity becomes localized within the droplet, which exhibits a density hump at the vicinity of the impurity, while repulsive interactions facilitate phase separation. Comparing our many-body results with the appropriate extended Gross–Pitaevskii description, we find adequate agreement for the droplet density profiles, with the effective field approach systematically overestimating …

Calcium Signaling And Postsynaptic Density Dynamics: The Roles Of Calmodulin In Synaptic Protein Regulation, Keyaa Dilip Shah, Yonghong Zhang

School of Integrative Biological & Chemical Sciences Faculty Publications

Calcium signaling in neuronal cells is the principal mechanism underlying learning and synaptic plasticity, whereas the postsynaptic density (PSD) is an important center where calcium-dependent processes are organized and regulated. This review explores the roles of calmodulin (CaM) in facilitating calcium-dependent modulation of the activities of synaptic proteins in the PSD. We focus on the molecular processes through which CaM interacts with calcium signals to regulate the function, localization, and interactions of central synaptic proteins, including calcium/calmodulin-dependent protein kinase II (CaMKII), membrane-associated guanylate kinases (MAGUKs), and N-methyl-D-aspartate (NMDA) receptors. We aim to summarize recent advances in structural, biochemical, and imaging …