Digital Commons Network^™

Eccentric Hamstring Strength And Acl Injury Risk In Ncaa Division I Female Field Hockey Athletes, Killian Patrick Ferrell

Exercise Science Theses & Dissertations

Anterior cruciate ligament (ACL) injuries remain a pervasive issue in female collegiate athletics, particularly in sports demanding frequent decelerations, cuts, and high-speed movements such as field hockey. Despite the high injury burden, limited research has investigated biomechanical and workload-based risk factors specific to NCAA Division I female field hockey athletes. This study aimed to evaluate the relationship between changes in eccentric hamstring strength and movement load metrics with changes in a composite ACL Risk Index. The sample included nine NCAA Division I female field hockey players who completed a 13-week offseason strength and conditioning program. Eccentric hamstring strength was measured …

Input Structure Based Optimization For Privacy Preserving Ai Systems, Feng Yizhou

Electrical & Computer Engineering Theses & Dissertations

As Artificial Intelligence (AI) systems become increasingly integrated into critical domains, ensuring privacy-preserving model design and system deployment has become a pressing priority. Safeguarding both sensitive user data and proprietary model parameters is critical throughout the AI model and system, from data acquisition and pre-processing to model inference and deployment. However, existing privacy-preserving frameworks face several limitations, including fragmented data ownership, incomplete protection across system stages, substantial computational overhead, and poor scalability to modern architectures such as large language models. This dissertation explores a unifying optimization strategy centered on input structure design to address these challenges. The core idea is …

Human Activity Recognition And Identification Driven Automated Deep Learning For Time-Series Classification, Justin Alan Gamble

Engineering Management & Systems Engineering Theses & Dissertations

The growing emphasis on Digital Engineering (DE) within the U.S. Department of Defense (DoD) demands advanced methods for leveraging vast time-series data generated by sensor-rich environments. Deep learning models offer promising solutions for complex timeseries classification tasks, however their design and optimization remain highly resource intensive, requiring specialized expertise. This dissertation addresses this challenge by developing and evaluating an Automated Machine Learning (AutoML) framework specifically tailored for the time-series classification task of Human Activity Recognition and Identification (HARI).

A systematic investigation was conducted using the Design Science Research Methodology (DSRM) comparing traditional search strategies of grid search and random search …

Computational Investigation Of Energetic Materials: Influence Of Electronic And Steric Properties On Sensitivity And Decomposition Mechanisms, Elizabeth Ruth Zengel

Chemistry & Biochemistry Theses & Dissertations

Developing novel high energy density materials (HEDMs) requires knowledge of the causes and mechanisms of detonation. These chemical events are almost instantaneous and involve the release of a large amount of energy, which limits the experimental studies that can be performed on them. Computational methods including density functional theory (DFT) and molecular dynamics (MD) simulations have been used to investigate trigger bonds, those which break to initiate detonation. These bonds are commonly found within explosophores, substituents that increase the explosive potential of a molecule.

The Wiberg bond index (WBI) is an estimation of orbital overlap and bond strength between two …

Unfolding Particle Detector Effects And Solving Qcd Inverse Problem With Generative Ai, Tareq Saeed Alghamdi

Computer Science Theses & Dissertations

Advancements in artificial intelligence (AI) have revolutionized high-energy physics by enabling generative models to address key detector-related Challenges. This work explores the generative model to mitigate smearing, acceptance, and inefficiency in particle detectors, enhancing experimental precision.

We present a generative model-based framework to model and correct detector distortions. Using the Jefferson Lab CLAS g11 experiment as a case study, our approach successfully unfolds detector effects in multi-particle final states while preserving multidimensional correlations despite complex reaction mechanisms. A key focus is addressing the acceptance problem—accurately modeling detector acceptance without computationally expensive simulations. By training generative model-based framework on simulated detector …

Formulation And Development Of Enz-1-Targeted Therapy Using Benzimidazole And Benzotriazole Derivatives For Leukemia Treatment: A Comprehensive Study Including Benzene Sulfonamide Derivatives For Antifungal Applications, Ahmed Ashraf Anwar Elsyyad

All Theses

This thesis highlights two chemistry-centered projects that demonstrate the pivotal role of synthetic organic methodologies in addressing critical health concerns. The first project involved the multi-step synthesis of benzimidazole and benzotriazole derivatives from aniline substrates, achieving high yields of 80–90%. These compounds were rigorously characterized by 1H and 13C NMR spectroscopy, establishing their structural integrity and laying the groundwork for future evaluations against leukemia. The second project involved designing small-molecule inhibitors to combat antifungal resistance, based on a piperazine scaffold, targeting Sec14 lipid-binding proteins essential for fungal viability. The synthesized (phenylsulfonyl) piperazine derivatives also displayed excellent yields and were thoroughly …

Structural Organization And Thermal Properties Of Polycaprolactone (Pcl) Nanofibers And Energetic Ionic Liquids (Eils) Investigated By Flash Differential Scanning Calorimetry (Flash Dsc), Aishorjo Paul Bablee

All Theses

This study explored the thermal behavior and structural organization of two materials, electrospun poly(e-caprolactone) (PCL) nanofibers and energetic ionic liquids (EILs). To this purpose, Flash Differential Scanning Calorimetry (DSC) has been used. Both materials are of significant interest for advanced applications such as biomedical devices, drug delivery, propellants, and energy storage due to their tunable physical properties and responsive thermal behavior.

The first part of the study investigated the structure-property relationship of electrospun PCL nanofibers, a biodegradable, semi-crystalline polymer widely used in biomedical applications. Cooling rates ranging from 0.1 to 2000 K/s and a fixed heating rate of 500 K/s …

Emotional Pathways To Trauma: Racialized Policing And Psychological Distress In Black Adolescent Males, Rochelle S. Parrish

All Theses

Introduction: Black American males, including adolescents, are disproportionately subjected to aggressive policing, often without criminal wrongdoing (Geller et al., 2014; Sewell et al., 2016). These encounters are frequently described as traumatic, marked by fear, loss, and emotional disruption (Smith Lee & Robinson, 2019). Whether direct or vicarious, such experiences can produce lasting psychological effects, particularly among Black boys who face compounded vulnerability from racialized surveillance and community-level trauma (DeVylder et al., 2018; Smith & Patton, 2016). Proactive policing tactics, such as investigatory stops and verbal aggression, have been linked to symptoms consistent with post-traumatic stress disorder (PTSD), including hypervigilance, avoidance, …

Recommended For You Streaming Platform Recommendation Algorithms And Consumer Rights, Margaret Wilson

Canadian Journal of Law and Technology

Streaming platforms are becoming increasingly popular with consumers. In Canada, recent studies have suggested that 55% of Canadians use video streaming services, like Netflix, on a daily basis. Similarly, up to 30% stream audio content daily on platforms like Spotify.6 The federal government has recognized that the broadening use of these technologies creates new challenges for consumer privacy and has proposed updates to consumer privacy laws in Bill C-27. With the dissolution of the 44th Parliament on March 23, 2025, Bill C-27 died on the roll and will not be adopted. As proposed legislation, Bill C-27 signalled the direction of …

Balancing The Use Of Ai With Canadian Privacy Rights: An Analysis Of Personal Information Collection Through Emerging Ai Tools, Tamie Dolny, Methura Sinnadurai

Canadian Journal of Law and Technology

Biometric information collection through artificial intelligence (AI) is a new, dynamic and exciting technology that also raises significant privacy law considerations for in house and governmental lawyers in Canada. While organizations may be quick to collect personal information using forms of AI technology, these entities should be aware of the legal risk posed by technologies which may violate the Freedom of Information and Protection of Privacy Act (FIPPA)1 and/or the Municipal Freedom of Information and Protection of Privacy Act (MFIPPA),2 especially if users are unaware of, or have not consented to the use of their personal information by the AI …

Mantle Flow And Crustal Deformation Revealed By Seismic Anisotropy In The Subduction Zone Beneath Myanmar, Enbo Fan, Mingming Jiang, Yinshuang Ai, Stephen S. Gao, Kelly H. Liu, Yumei He, Yiming Bai, Guangbing Hou, Yuan Ling, Chit Thet Mon, Myo Thant, Kyaing Sein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The oblique convergence of the Indian and Eurasian plates drives significant deformation in the crust and mantle beneath Myanmar. However, the crustal deformation in the Indo-Burman Ranges (IBR) and mantle flow beneath Myanmar and adjacent areas remain unclear due to limited studies. We utilized data from the newly deployed second phase of the China-Myanmar Geophysical Survey of the Myanmar Orogen array to perform shear wave splitting analysis of PKS, SKKS, and SKS (XKS) phases. Our results, together with previous findings, provide new insights into mantle flow and crustal deformation across central Myanmar. In the IBR, we observed a transition from …

2-Adic Quantum Mechanics, Continuous-Time Quantum Walks, And The Space Discreteness, Wilson A. Zuniga-Galindo

School of Mathematical & Statistical Sciences Faculty Publications

The authors show that a large class of 2-adic Schrödinger equations is the scaling limit of certain continuous-time quantum Markov chains (CTQMCs). Practically, a discretization of such an equation gives a CTQMC. As a practical result, new types of continuous-time quantum walks (CTQWs) on graphs using two symmetric matrices are constructed. The transport between nodes in one direction is described by one matrix, while the transport between nodes in the opposite direction. This construction includes, as a particular case, the CTQWs constructed using adjacency matrices. The final goal of this work is to contribute to the understanding of the foundations …

Training Robot Swarms For Adaptive Foraging In Environments With Obstacles, Pigar Biteng, Tameem Uz Zaman, Qi Lu

Computer Science Faculty Publications

In this work, we train adaptive and efficient foraging strategies for robot swarms in a large, unmapped search space with multiple randomly distributed box obstacles using the penalty-reward based NeuroEvolution of Augmented Topologies (NEAT), P-NeatFA. This model enables efficient multi-robot foraging behavior and obstacle avoidance by rewarding effective actions and penalizing inefficient ones, thereby minimizing redundant exploration and outperforming traditional stochastic foraging algorithms. We optimize foraging strategies and search patterns in robot swarms by training models that maximize cumulative rewards in three types of resource distribution environments. The evaluation focuses on the number of resources collected within a fixed time …

Evolving Adaptive Foraging Robot Swarms With Neat In Environments With Obstacles, Tameem Uz Zaman, Pigar Biteng, Qi Lu

Computer Science Faculty Publications

We apply NeuroEvolution of Augmented Topologies (NEAT) to evolve adaptive and efficient swarm foraging behaviors in unknown environments with randomly placed obstacles. By rewarding effective actions and penalizing inefficient ones using the proposed strategy P-NeatFA, the training generates efficient foraging and obstacle avoidance strategies, reducing redundancy and outperforming traditional stochastic foraging algorithms. Optimization is guided by cumulative reward-based fitness, evaluated through simulations involving three types of distributed resources. Foraging performance is assessed in terms of resource retrieval rates. We compare the performance of our proposed P-NeatFA with that of CPFA and NeatFA. Experimental results show that P-NeatFA significantly outperforms the …

Optimal Quantization For Nonuniform Discrete Distributions, Russel Cabasag, Samir Huq, Eric Mendoza, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This paper explores the process of optimal quantization for several types of discrete probability distributions. Quantization is a technique used to approximate a complex distribution with a smaller set of representative points, which is important in fields such as data compression and signal processing. We begin by examining two specific nonuniform distributions over a finite set of values and identify the best representative points for different levels of approximation. We then extend our analysis to two infinite discrete distributions: one supported on the reciprocals of natural numbers and another on the natural numbers themselves. For these distributions, we compute the …

Phase 1 Clinical Trial Of ¡Iniciando! La Adultez: A Culturally Tailored Intervention For Transitioning Latino Young Adults With Autism, Antonio F. Pagán, Ana Esparza, Ana C. Ramirez, Miriam Ortiz, Linda Hernandez, Mary Beth Morgan, Geohanna Noel, Alejandro L. Pagán, Jada Salas, Cecilia Montiel-Nava

Psychological Science Faculty Publications

This Phase 1 clinical trial evaluated ¡Iniciando! la Adultez, a culturally adapted intervention for Latino autistic young adults (n = 56) and their parents (n = 63). Young adults showed significant post-treatment improvements on measures of social responsiveness (SRS-2), adaptive behavior (ABAS-3), executive functioning (BRIEF-A), quality of life (WHOQOL-BREF), transition readiness (TRS-A), coping self-efficacy (CSES), and emotion regulation (DERS-SF). Parents reported significant improvements in their perceptions of their child’s social responsiveness, adaptive behavior, and executive functioning, as well as increased transition readiness ratings. Notably, parents evinced a significant decrease in acculturative stress (RASI) and depressive symptoms (PHQ-9), however, …

Trends In The Use Of Non-Nutritive Sweeteners Among Female University Students In The United Arab Emirates, Dalia Haroun, Aseel Ehsanallah, Wafa Mubarak

All Works

Objective: This study aimed to explore the consumption patterns of non-nutritive sweeteners (NNS) among female university students in the United Arab Emirates (UAE), in the context of rising health awareness. Methods: A cross-sectional survey was conducted from February to April 2023 among female university students in the UAE. A total of 192 participants aged 18 and above were recruited through convenience sampling. A structured, self-administered online questionnaire was used to collect data on NNS consumption, motivations for use, physical activity, dietary habits, and self-reported height and weight. Body Mass Index (BMI) was calculated and categorized using the World Health Organization …

From Waste To Solution: Modeling And Characterization Of Grape Seed Bio-Waste For Phosphate Removal From Wastewater, Abeer Al-Bsoul, Zakaria Al-Qodah, Muhammad Tawalbeh, Khalid Bani-Melhem, Khalideh Al Bkoor Alrawashdeh, Mohammad Hailat, Ahmed A. Al-Taani, Eid Gul

All Works

In this study, particles of ground grape seeds were utilized to adsorb phosphate ions from a prepared solution, aiming to reduce phosphate concentration. Through a series of adsorption experiments, the effects of the adsorbent concentration, initial phosphate ion concentration, temperature, and pH on the phosphate ion uptake were studied. The removal efficiency of the phosphate ion decreased from 77 to 61% as a 25 to 45 °C increment in temperature was observed, which indicated the exothermicity in the adsorption process. The phosphate ion movement onto the adsorbent surface that exhibited the highest uptake value favored a neutral reaction environment with …

Crystal Structures Of Escherichia Coli Glucokinase And Insights Into Phosphate Binding, Joseph Andrews, Joshua Sakon, Chenguang Fan

Chemistry & Biochemistry Faculty Publications and Presentations

Here, we report the crystal structure of Escherichia coli glucokinase (GLK), which has phosphate bound in the cleft between the alpha and beta domains adjacent to the active site. A ternary complex consisting of GLK, glucose and phosphate is also reported in this work. Diffraction data were collected at 2.63 angstrom resolution for the phospate-bound form (R-work/R-free = 0.191/0.230) and at 2.54 angstrom resolution for the ternary complex (R-work/R-free = 0.202/0.258), both at 297 K. A B-factor analysis of the phosphate-bound GLK structure revealed consistently lower values for phosphate-interacting basic residues in the alpha 4, alpha 5 and alpha 9 …

Validation Of A Methodology For Predicting Yield Acceleration Of Rock Blocks, Madison Haydn-Myer

Graduate Theses & Non-Theses

Rock slope stability is a critical concern in seismically active regions, where earthquakes can trigger sudden and hazardous failures. Predicting these failures is challenging due to the complex interactions between seismic loading and geological characteristics. This study proposes a simplified analytical model to predict yield acceleration based on the forces acting upon a block just before sliding initiates. A key parameter in this equation is the friction acting on the bottom surface of the block. As rock blocks are commonly formed by the intersection of sets of subparallel fractures known as joints, and the roughness and other features of those …

The Effects Of Off-Season Evidence-Based Training Block Periodization Program On The Performance Of Soccer Athletes In A Di School: An Exploratory Study, Ibrahim F. Almughathawi

Electronic Theses and Dissertations

The investigators explored the effects of a two-year evidence-based block periodization strength training program on performance outcomes in NCAA Division I male soccer athletes. The investigators aimed to examine longitudinal changes in body composition, explosive strength, and match-play physical demands, as well as the associations between field-based performance assessment and GPS-derived metrics. Using a retrospective design, data were drawn from a research data repository for athletes who participated in a long-term sport science monitoring program under the same head coach and training conditions. Performance measures included vertical jump assessments (static and counter movement jumps under bodyweight and external load), isometric …

Preschool Teachers’ Perspectives On Conceptual Movement In Academic Instruction: A Mixed- Methods Study With Implications For Early Math, Kehinde H. Orimaye

Electronic Theses and Dissertations

This convergent mixed-methods study investigated Missouri preschool teachers’ familiarity, implementation, and perceptions of conceptual movement (CM), the purposeful integration of bodily actions to support young children’s understanding of abstract academic concepts, particularly in early mathematics instruction. Grounded in embodied cognition and informed by enactivism and the theory of event coding (TEC), the study explored: (a) preschool teachers’ awareness and frequency of CM use; (b) how teacher characteristics such as experience, age group taught, and math anxiety relate to CM implementation; and (c) teachers’ perceptions of CM’s instructional value, implementation challenges, and professional development needs.

Quantitative data were collected through a …

Investigating The Multiple Enzyme Complex In The Carotenoid Biosynthesis Pathway, Mercy Mormor

Electronic Theses and Dissertations

In nature, plant carotenoids are 40-carbon isoprenoids with polyene chains that may have double bonds. They are vital components of all photosynthetic organisms, playing several roles in the plant cell, including photosynthesis, pigmentation, phytohormone synthesis, signaling and photoprotection. In this study, we investigated protein-protein interactions among key enzymes involved in the carotenoid biosynthesis pathway using the Bimolecular Fluorescent Complementation (BiFC) assay. Our results revealed several interactions that suggest a coordinated regulation of enzymatic activity within this pathway, highlighting potential regulatory complexes that influence carotenoid production. The study also highlights the pivotal role of Zeta-Carotene Isomerase (Z-ISO) as a key regulatory …

Drivers And Consequences Of Changes In Nectar Microbiome Composition Across Spatial And Biological Scales, Daniel A. Barker

Electronic Theses and Dissertations

Microbial communities inhabiting floral nectar, known as the nectar microbiome, are important mediators of plant-pollinator interactions. However, the ecological and environmental factors that shape the composition of these microbial communities remain poorly understood. While previous studies have examined the effects of a few microbial groups, typically independent of one another, on one plant or pollinator species, this dissertation takes a wide-scale approach to explore how abiotic conditions and biotic interaction’s structure microbial communities within floral nectar. Furthermore, I also quantify how variation in microbial richness and identity influences pollinator behavior and plant reproductive success.

This dissertation shows that microbial abundance …

Reentry For Formerly Incarcerated Individuals: A Focus On Workforce Reentry And Recidivism In Appalachia, Margaret E. Francisco

Electronic Theses and Dissertations

Formerly incarcerated individuals face challenges to successful reentry, a critical component of reducing recidivism and improving public health outcomes. These challenges are particularly acute in rural Appalachia, where structural disadvantages such as limited economic opportunities, healthcare access, and public transportation intersect with stigma and systemic barriers related to prior incarceration. This dissertation addresses these gaps through a mixed-methods examination of reentry and recidivism, grounded in public health frameworks and focused on the unique context of rural Appalachia.

This work includes three studies. First, a PRISMA-guided systematic review synthesized qualitative research on barriers and facilitators to employment following incarceration. Findings highlighted …

Hierarchy In Sensation: Exploring The 40 Hz Auditory Steady State Synchrony In The Primary Auditory And Prefrontal Association Cortices, Deepshila Gautam

Electronic Theses and Dissertations

Auditory processing begins in the cochlea and ascends through brainstem relays to the cortex, where sound features with increasing complexity are encoded. The 40 Hz auditory steady-state response (ASSR) reflects induced gamma synchrony shaped by local cortical circuit dynamics. Disrupted 40 Hz ASSR is a consistent finding in schizophrenia, linked to N-methyl-D-aspartate receptor (NMDAR) hypofunction in inhibitory interneurons, making it a promising translational biomarker. While multiple ASSR generators have been identified, it is not known if these are redundant or represent unique activity. This dissertation investigates regional differences in 40 Hz ASSR across two principal generators: the primary auditory cortex …

Digital Twins, Ai, And Cybersecurity In Additive Manufacturing: A Comprehensive Review Of Current Trends And Challenges, Md Sazol Ahmmed, Laraib Khan, Muhammad Arif Mahmood, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The development of Industry 4.0 has accelerated the adoption of sophisticated technologies, including Digital Twins (DTs), Artificial Intelligence (AI), and cybersecurity, within Additive Manufacturing (AM). Enabling real-time monitoring, process optimization, predictive maintenance, and secure data management can redefine conventional manufacturing paradigms. Although their individual importance is increasing, a consistent understanding of how these technologies interact and collectively improve AM procedures is lacking. Focusing on the integration of digital twins (DTs), modular AI, and cybersecurity in AM, this review presents a comprehensive analysis of over 137 research publications from Scopus, Web of Science, Google Scholar, and ResearchGate. The publications are categorized …

Predicting Miner Localization In Underground Mine Emergencies Using A Hybrid Cnn-Lstm Model With Data From Delay-Tolerant Network Databases, Patrick Nonguin, Samuel Frimpong, Sanjay Madria

Mining Engineering Faculty Research & Creative Works

Underground mining environments are highly hazardous, often prone to gas explosions, cave-ins, and fires that may trap miners during emergencies. The accurate, real-time localization of miners is vital for effective self-escape and rescue operations. Although the Mine Improvement and New Emergency Response (MINER) Act of 2006 mandates communication and tracking systems, most current solutions rely on low-power devices and line-of-sight methods that are ineffective in GPS-denied, dynamic subsurface conditions. Delay-Tolerant Networking (DTN) has emerged as a promising alternative by supporting message relay through intermittent links. In this work, we propose a deep learning framework that combines Convolutional Neural Networks (CNNs) …

Ai-Driven Uncertainty Quantification & Multi-Physics Approach To Evaluate Cladding Materials In A Microreactor, Alexander Foutch, Kazuma Kobayashi, Ayodeji Babatunde Alajo, Dinesh Kumar, Syed Bahauddin Alam

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The pursuit of enhanced nuclear safety has spurred the development of accident-tolerant cladding (ATC) materials for light water reactors (LWRs). This study investigates the potential of repurposing these ATCs in advanced reactor designs, aiming to expedite material development and reduce costs. The research employs a multi-physics approach, encompassing neutronics, heat transfer, thermodynamics, and structural mechanics, to evaluate four candidate materials (Haynes 230, Zircaloy-4, FeCrAl, and SiC–SiC) within the context of a high-temperature, sodium-cooled microreactor, exemplified by the Kilopower design. While neutronic simulations revealed negligible power profile variations among the materials, finite element analyses highlighted the superior thermal stability of SiC–SiC …

Blood Biomarkers Of Alzheimer's Disease In Australians Habitually Consuming Various Plant-Based Diets, Shaun Eslick, Grace Austin, Jessica J.A. Ferguson, Manohar L. Garg, Christopher Oldmeadow, Ralph N. Martins

Research outputs 2022 to 2026

Background: Evidence suggests that plant-based diets (PBDs) may be protective against neurodegenerative diseases such as Alzheimer's disease (AD). Objective: This study examined associations between blood-based AD biomarkers in individuals 30–75 years without current or diagnosed cardiovascular disease following different PBDs versus regular meat-eating diets (RMEs). Methods: This secondary analysis of the Plant-based Diets study measured Aβ1–42/Aβ1–40, p-tau181, NFL, and GFAP in 237 plasma samples using SIMOA from individuals following vegan, pesco-vegetarian (PVs), lacto-ovo vegetarian (LOVs), semi-vegetarian (SVs), or RME diets. Multivariable regression adjusted for age and sex. Results: Following adjustments for age and sex, plasma Aβ1–42/Aβ1–40ratio was significantly higher in …