Digital Commons Network^™

The Inside Scoop: Elucidating The Three-Way Relationship Between Schistosoma Mansoni, The Gut, And Vaccines, Mariam A. Mhanna

Biomedical Sciences Theses & Dissertations

Schistosomiasis is a neglected tropical disease that affects over 250 million people worldwide. This blood fluke infection burdens communities and areas with limited to no access to clean fresh water. When a host is exposed to cercariae, the infectious agent, in a body of water, it matures in the host’s circulation into adult female and male worms. Copulated adult worms migrate to the mesentery, in the case of Schistosoma mansoni, and produce eggs that can cross the intestinal barrier and get excreted in the feces to continue the lifecycle. The effects of S. mansoni infection on the host …

The Effects Of The Chief Information Officer’S Presence And Tenure On Financial Performance, Xuemei Li

Theses and Dissertations in Business Administration

CIOs should be at the core of the organization. They play more and more critical roles in organizations. However, CIOs have not been paid enough attention in many firms. This can be partially observed in a lack of studies about CIOs, for instance, how CIOs influence the organizations, and how organizations' settings influence the CIOs. Technical initiatives or innovations may be the bridge between CIOs and firm performance. Different theories have been employed concerning CIOs, innovations, and firm performance. For instance, the resource-based view (RBV) has served as a theoretical foundation in related studies.

Drawing on RBV, attention-based view (ABV), …

Peace Engagement And Non-Negotiable Commitment Through An In-Depth Lens [Pencil Theory]: A Film Perspective On Un’S Conflict Resolution, Edward Moses Sam Selvaraj

Graduate Program in International Studies Theses & Dissertations

The research addresses the effectiveness of the United Nations concerning conflict resolution and peacekeeping, seen from the perspective of film culture. Applying the "PENCIL Theory" (Peace Engagement through an in-depth lens), the UN study along with its structural dynamics would be considered herein: a pencil comprising the Security Council as its lead, world as the eraser, and filmmakers as the ferrule that is representative of that significant link between public awareness and policy impact, and the UN General Assembly and Secretariat as its body in support of the decision-making processes. It brings to the fore the critical impacts on the …

The Aid Impact Theory: A Theoretical Framework For Maximizing The Impact And Sustainability Of Foreign Education Aid In Ghana, Jonas Bensah

Graduate Program in International Studies Theses & Dissertations

Foreign aid plays a critical role in supporting education systems in developing countries, yet its effectiveness varies depending on the presence and interaction of key implementation components. This study applies the Aid Impact Theory (AIT) to comparatively analyze the USAID Partnership for Education: Learning and the World Bank-funded Secondary Education Improvement Project (SEIP) in Ghana, assessing their effectiveness and sustainability. Using a structured framework, the research examines six essential components: stakeholder consultation, donor coordination and local implementer collaboration, awareness of cultural, political, and institutional contexts, community involvement, capacity building, and monitoring and evaluation. The findings indicate that the USAID Learning …

Examining How Self-Regulated Learning Professional Development Affects Teacher Srl Knowledge, Beliefs, And Practices, Stephanie Greenquist-Marlett

STEMPS Theses & Dissertations

Self-regulated learning (SRL) strategies promote valuable student learning outcomes including academic achievement and lifelong learning (EU Council, 2002). Teachers have an opportunity to cultivate student SRL development within their classrooms (Azevedo et al., 2008). While teachers believe in the benefits associated with SRL promotion (Spruce & Bol, 2014), their positive attitudes are not often supported by adequate knowledge of SRL strategies. This leads to a lack of self-efficacy for developing SRL instruction in classrooms (Dignath & Büttner, 2018; Zimmerman et al., 1996). SRL-based professional development (PD) interventions have demonstrated their effectiveness for increasing teacher SRL instruction and implementation (Cleary et …

The Influence Of Monsoon Variability On The Circulation Of The Near-Surface Indian Ocean And The Depth-Integrated Chlorophyll, Marufa Ishaque

OES Theses and Dissertations

The Indian Ocean experiences a strong semiannual reversal of monsoon winds, which determines the weather and climate of Asia, including freshwater fluxes between the atmosphere, land, and ocean. Studies and model projections suggest that the timing and intensity of the seasonal monsoon have already started to change, with more dramatic changes likely in the future. However, the impact of these changes on the Indian Ocean circulation system, including the inter-basin salt/freshwater transport between the Bay of Bengal and the Arabian Sea, remains unclear. To better understand how monsoon variability affects Indian Ocean circulation patterns, a Regional Ocean Modeling System simulation …

Enhancing Data Usability For People With Visual Impairments, Yash Prakash

Computer Science Theses & Dissertations

Human-Data Interaction (HDI) focuses on how individuals engage with, analyze, and extract insights from data. For blind and visually impaired (BVI) users, interacting with data, whether searching for relevant information from structured data (e.g., web data items) or interpreting visualizations to draw insights (e.g., data charts), presents significant challenges. These challenges arise from the complexity and sheer volume of data which cannot be effectively handled by assistive technologies like screen readers and screen magnifiers. Despite its importance, data usability, the ease, efficiency, and satisfaction with which BVI individuals can interact with the data, has received less attention compared to data …

A Focused Ethnography: Mental Health Therapists In Pediatric Integrated Care, Melanie Agustin

Counseling & Human Services Theses & Dissertations

The scope of practice for Licensed Professional Counselors (LPCs) and counseling residents (LPC-R) in integrated behavioral health (IBH) settings is grounded in accredited, theory-informed education and training. The benefits of IBH models are well-documented, however there is limited research that addresses how counselors develop professionally and clinically function, while navigating within pediatric inpatient environments. This qualitative dissertation used a focused ethnographic design to explore the lived experiences of ten purposively sampled counselors (n = 10) through demographic surveys, field observation, and semi-structured interviews. Reflexive journaling bracketed researcher bias, and thematic analysis, supported by NVivo and new member checking, guided interpretation. …

A Methodology For Model-Based Certification, Jay Albert Silverman

Engineering Management & Systems Engineering Theses & Dissertations

A need for a single source of knowledge for design decisions has led to the development of a new field of systems engineering, model-based systems engineering (MBSE) (Delligati, 2014). System certification is defined as affirming that regulatory requirements for a system have been met (Goodwin & Juzaitis, 2006). System certification is a specific application of system validation. System verification can be defined as ensuring that the system of interest (SOI), as designed, is in accordance with the design inputs/requirements. System validation can be defined as ensuring that the SOI, as designed, meets the defined system needs (Wolfgand, Katz, & Wheatcraft, …

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 …

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 …

Analysis Of Antioxidant Capacity In Storage Roots From Some F2 Progenies Of A Sweetpotato (Ipomoea Batatas (L.) Lam) Segregating Population, Tien Hua

All Theses

Sweetpotato (Ipomoea batatas [L.] Lam) is a globally important crop known for its high yield, adaptability, and rich nutritional profile. Sweetpotatoes are especially high in β-carotene, a provitamin A carotenoid that is vital for vision, immune function, and skin health, making them effective in combating vitamin A deficiency in vulnerable populations. Purple-fleshed sweetpotatoes are particularly recognized for their very rich antioxidant nutrition, which includes significantly high levels of phenolic compounds such as many types of phenolic acids, flavonoids, and anthocyanins. Regular consumption of sweetpotato has been associated with reduced risks of chronic diseases such as cardiovascular disease, type 2 diabetes, …

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 …

Hydrolysis Of Cellulose And Cellulose Model D-Cellobiose Using Amino-Sulfonic Acid Hydrochlorides As Catalysts, Jesse C. Nwankwo

All Theses

The accelerated industrialization has boosted the demand for fossil fuels, increasing prices and greenhouse gas emissions, which has led to a quest for cleaner energy sources such as biofuels. Cellulose, a common biopolymer, is promising for renewable energy but is not hydrolysis-resistant. In this research, firstly, nine amino-sulfonic acids, orthanilic, aminomethanesulfonic, pyridine-3-sulfonic, 2-aminoethanesulfonic, 3-amino-1-propanesulfonic, and 3-morpholinopropanesulfonic acids, sulfanilic, and metanilic were investigated as model catalysts for cellulose hydrolysis. D-cellobiose, a more simplified model of cellulose, was similarly hydrolyzed using metanilic and sulfanilic acids and benchmarked against sulfuric acid. At 85 - 115°C, sulfanilic acid produced 76% glucose yield compared to …

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 …

Navigating The Shadows: Evaluating Privacy Protections Against Dark Patterns, Matt Gaulton, Dominique Kelly, Dr. Jacquelyn Burkell

Canadian Journal of Law and Technology

Privacy dark patterns are user interface design strategies that manipulate individuals into disclosing personal information or consenting to data practices they may not fully understand or intend. This paper critically evaluates the effectiveness of Canadian, American, and European privacy frameworks — specifically, the Personal Information Protection and Electronic Documents Act (PIPEDA), the California Consumer Privacy Act (CCPA), and the European Union’s General Data Protection Regulation (GDPR) — in addressing the regulatory challenges posed by privacy dark patterns. We argue that PIPEDA is significantly less equipped to counteract such manipulative practices, particularly in comparison to the GDPR and CCPA, due to …

Considering The Concept Of Law In The Legal Singularity, Matthew Tse

Canadian Journal of Law and Technology

This review article engages with the idea of a ‘‘legal singularity”, which has been developed by Abdi Aidid and Benjamin Alarie in their book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better.

The legal singularity describes a legal system in the future that harnesses algorithmic computation to facilitate a ‘‘stable and complete legal order, capable of addressing and resolving practically all types of legal uncertainty in real time and on demand”. Aidid and Alarie believe algorithmic computation will achieve this promise in an interdependent dual process. On one hand, algorithms will structure the law with conceptual standardization. …

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 …

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 …

Mode Regulates Alternative Nitrogenase Expression In Themethanogen Methanosarcina Acetivorans, Melissa Chanderban, Daniel J. Lessner

Biological Sciences Faculty Publications and Presentations

All methanogens that can fix nitrogen use molybdenum (Mo) nitrogenase. Some methanogens, including Methanosarcina acetivorans, also contain alternative vanadium- and iron-nitrogenases, encoded by the vnf and anf operons, respectively. These nitrogenases are produced when there is insufficient Mo to support Mo-nitrogenase activity. The factors that control the expression of the alternative nitrogenases in response to Mo availability are unknown in methanogens. Here we show that ModE is the regulator that represses transcription of the vnf and anf operons in M. acetivorans when cells are grown with Mo. CRISPRi repression of modE results in a significant increase in the transcription of …

Incorporating Ecosystem Service Assessments Into Development Planning − Impact From A Dredging Project In South Australia On Seagrass, Sam Gaylard, Rachel Colella, Matt Nelson, Paul Lavery, Michelle Waycott

Research outputs 2022 to 2026

Major infrastructure development is required for economic development and to improve human well-being, however conflict exists between developers and the community. Environmental impact assessment (EIA) is used in over 100 countries to evaluate potential impacts of major developments across environment, economy, and social benchmarks. However, EIA has been criticized for a lack of transparency and accountability, lack of consultation or participation and inadequate science. An ecosystem service assessment (ESA) recognizes the links between the environment and the socio-economic environment, resulting in a more holistic evaluation of potential impacts and effective community consultation. Despite this, its inclusion within EIA's is rare. …

Discordance Of Small Dense Ldl Cholesterol Beyond Ldl Cholesterol Or Non–Hdl Cholesterol And Carotid Plaque, Jinqi Wang, Xiaoyu Zhao, Yanchen Zhao, Rui Jin, Yunfei Li, Jiahe Wang, Yueruijing Liu, Zhiyuan Wu, Xiuhua Guo, Lixin Tao

Research outputs 2022 to 2026

Background: Different low-density lipoprotein (LDL) particles exhibit distinct proatherogenic properties. Objectives: This study sought to evaluate associations of small dense low-density lipoprotein cholesterol (sdLDL-C), large buoyant low-density lipoprotein cholesterol (lbLDL-C), sdLDL-C/LDL-C ratio, and sdLDL-C/lbLDL-C ratio with carotid plaque (CP) risk in the general population, and to perform discordance analyses to determine which biomarker better reflects CP risk beyond low-density lipoprotein cholesterol (LDL-C) and non–high-density lipoprotein cholesterol (non-HDL-C). Methods: This study enrolled 20,369 participants from Beijing Health Management Cohort. Discordant sdLDL-C, lbLDL-C, or ratio metrics (sdLDL-C/LDL-C and sdLDL-C/lbLDL-C) relative to LDL-C or non-HDL-C, and discordant ratio metrics relative to sdLDL-C, were …

Research Nexus : Volume 28 - 2025, Office Of Research And Graduate Studies

Office of Research and Graduate Studies

• Researcher Spotlight
• Research Milestones & News
• Capacity Building Initiatives
• Upcoming Training & Webinars

Congestion And Travel Time Reliability Performance Measures For Shift 2026, Mei Chen, Eugene Antwi, Xu Zhang

Kentucky Transportation Center Research Report

Researchers obtained and processed probe speed data from HERE Technologies and integrated them with the Kentucky Transportation Cabinet’s highway inventory to develop congestion and travel time reliability performance metrics. This report summarizes analyses conducted using HERE speed data for 2022 – 2023. HERE data were processed using an established methodology, after which they were aligned with Kentucky’s highway inventory network. Analysis found that 2022 – 2023 HERE data offer significant improvements in coverage and quality over previous years. For locations that lacked sufficient data, researchers used HERE’s speed model to estimate hourly speeds. Data were used to calculate congestion and …

Ed-Filter: Dynamic Feature Filtering For Eating Disorder Classification, Mehdi Naseriparsa, Suku Sukunesan, Zhen Cai, Osama Alfarraj, Amr Tolba, Saba Fathi Rabooki, Feng Xia

Research outputs 2022 to 2026

Eating disorders (ED) are critical psychiatric problems that have alarmed the mental health community. Mental health professionals are increasingly recognizing the utility of data derived from social media platforms such as Twitter. However, high dimensionality and extensive feature sets of Twitter data present remarkable challenges for ED classification. To overcome these hurdles, we introduce a novel method, an informed branch and bound search technique known as ED-Filter. This strategy significantly improves the drawbacks of conventional feature selection algorithms such as filters and wrappers. ED-Filter iteratively identifies an optimal set of promising features that maximize the eating disorder classification accuracy. In …