Digital Commons Network^™

The Role Of Social Protection Programs In Reducing Poverty In Iraq: An Analytical Study, Nadia Lutfi Jaber, Thaer Mahmoud Rashid Al-Ani

Journal of Economics and Administrative Sciences

This research paper deals with SPP and their role in reducing poverty in Iraq. The study aimed to identify the impact of economic empowerment policies and programs and their effectiveness in generating income, in addition to social protection network programs, to verify the credibility of the hypothesis presented in the research. The analytical method and both the deductive and inductive approaches were relied upon. The results indicated that SPPs are effective tools for improving the conditions of people with low incomes, enhancing their productive capacities, providing sustainable job opportunities, and achieving social justice. This study examines the impact of SPP …

Understanding The Physical Health Associations Of Intra-Individual Variability In Life Satisfaction Among Older Adults, Frosch Y. X. Quek, Kenneth Tan, David Chan

Research Collection School of Social Sciences

It is well established that inter-individual differences in life satisfaction positively predict health, but it is less clear how intra-individual variability in life satisfaction across time could influence health, particularly across individuals with different satisfaction levels. To address this gap, we analysed a large panel dataset from a national sample of 8,674 older adults, aged 50–70 (M = 59, SD = 5.42) in Singapore who completed surveys over 53 consecutive months. Results from multi-level modelling showed an interaction between variability in life satisfaction and life satisfaction mean on physical health. Specifically, there was no association between variability and health among …

"Legitimacy, War, And The State: A Framework For Understanding Legitimation Strategies In Us Foreign Policy", Daniel Jose Palomino

Graduate Program in International Studies Theses & Dissertations

Do social norms play a role in policy maker’s foreign policy choices? What methods or strategies are effective in generating sustainable public support? In contrast to certain theories that conceive of international relations as purely divorced from social norms – be they international or domestic - I argue that the characteristic of legitimacy is critical to understanding how states construct and pursue their foreign policy. Using a methodology of historical review I examine four primary qualities of legitimation theory: Concern, Audience, Effort, and Reception; using the test case of the Americanization of the Vietnam War (1961-1965) this study will …

Language Barriers In Accessing Healthcare Services For Refugees In The United States, Sadaf Khuram

Communication & Theatre Arts Theses

Accessing healthcare is a pivotal aspect of refugees' integration into their host countries and significantly impacts their long-term health outcomes. The literature emphasizes the critical role of language proficiency in overcoming communication barriers within healthcare settings. This thesis, however, challenges the assumption that addressing language barriers alone is universally sufficient. It argues that the importance of language solutions is context-dependent, varying with the design of healthcare systems and the diverse needs and backgrounds of refugees. In some cases, focusing primarily on language barriers can divert resources from other critical areas, particularly when healthcare facilities have limited capacities or when services …

Applying Transcriptomics For Technology Development And Conservation In North American Marine Organisms, Cory Von Eiff

Dissertations

RNA biology is a rapidly expanding field, with many avenues of discovery among marine organisms. In this study, we analyze both mollusks and sawfish. First, we perform an evaluation of sRNA biogenesis pathways throughout Mollusca, with emphasis on the easter oyster, Crassostrea virginica. Understanding these molecules prescribes RNAi-based gene silencing approaches, benefiting genetic investigation and biotechnology. Similar to other animal groups, mollusks have conserved microRNAs (miRNAs), with some shared with ecdysozoans and deuterostomes; however, there is no evidence of an endogenous small interfering RNA (siRNA) pathway. These results suggest that long double-stranded RNA (dsRNA)-based RNAi is not appropriate for gene …

Associative Coding Of Conditioned Fear In The Thalamic Nucleus Reuniens In Rodents And Humans, Tuğçe Tuna, Michael S Totty, Muhammad Badarnee, Flávio Afonso Gonçalves Mourão, Shaun Peters, Mohammad R Milad, Stephen Maren

Faculty, Staff and Student Publications

The nucleus reuniens (RE) is a midline thalamic structure interconnecting the medial prefrontal cortex (mPFC) and the hippocampus (HPC). Recent work in both rodents and humans implicates the RE in the adaptive regulation of emotional memories, including the suppression of learned fear. However, the neural correlates of aversive learning in the RE of rodents and humans remain unclear. To address this, we recorded RE activity in humans (BOLD fMRI) and rats (fiber photometry) during Pavlovian fear conditioning and extinction. In both rats and humans, we found that conditioned stimulus (CS)-evoked activity in RE reflects the associative value of the CS. …

Theorizing With Purpose: A Five-Step Approach To Motivate And Guide Students In Communication Theory Courses, Weixu Lu

Journal of Communication Pedagogy

This study addresses the challenges of effectively teaching communication theories to undergraduate students by highlighting the gap between the need for developing higher-order, transferrable knowledge and the learning needs of novice learners. To bridge this gap, it introduces a novel five-step model integrating motivation, direct instruction, revisiting, assessing, and invention steps into the teaching process. Assessment results from two semesters were compared to evaluate the efficacy of this model, showing significant improvements in students’ comprehension of communication theories, ability to theorize communication phenomena, and proficiency in formulating research questions based on theoretical insights. These findings suggest the potential of the …

Critical Communication Pedagogy At The End Of The World, Tyler S. Rife

Journal of Communication Pedagogy

This essay draws upon my experiences teaching the undergraduate course, “Communication at the End of the World,” to argue for an approach to critical communication pedagogy (CCP) contextualized by and reflexively responsive to planetary-scale ecological crises. I outline how five commitments have come to guide my classroom’s explorations through our topic of “end-times” communication: (1) Anthropocentrism and speciesism participate in the maintenance of social hierarchy; (2) environmental justice and social justice are intimately entangled projects; (3) ecological crisis is (re)made concrete, embodied, proximal, and implicative; (4) critique of language involves critique of humanism and humanist historicization; and, (5) ecologically just …

Journal Of Communication Pedagogy, Complete Volume, 2025

Journal of Communication Pedagogy

No abstract provided.

Temporal Disparities In Diagnosis: The Critical Impact Of Laboratory Workflow Inefficiencies On Outcomes In Metabolic And Cardiovascular Disorders, Evans Dzreke, Celene Dzreke, Ramseyer Adekorang Asamoah, David Kanze

Health & Biomedical Sciences Faculty Publications

Diagnostic delays and laboratory process inefficiencies constitute a common but unaddressed dilemma in contemporary healthcare, quietly undermining patient outcomes in metabolic and cardiovascular illnesses where immediate intervention is critical. This seminal work goes beyond traditional operational viewpoints to demonstrate diagnostic inefficiency as an independent, adjustable risk factor with far-reaching implications. We rigorously quantified the impact of delayed test processing and reporting on clinical outcomes using a comprehensive mixed-methods approach that included multi-center retrospective cohort analysis (N=128,743 patients), real-time workflow mapping across 37 laboratories, in-depth case reviews, and economic modeling. Our findings challenged conventional wisdom by indicating that each 24-hour increase …

An Optimized Generalized Multi-Color Point Implicit Solver For Intel Gpus Using Intel Oneapis Esimd, Joseph Wassell

Computer Science Theses & Dissertations

The growing popularity of Computational Fluid Dynamics (CFD) simulations among engineers necessitates the use of GPU acceleration for increased efficiency. NASA FUN3D offers GPU accelerated CFD simulations using unstructured grids across the speed regime from incompressible to hypersonic flows involving reentry. This work focuses on the generalized multi-color point implicit solver used in FUN3D, accounting for roughly half of the run time. Specifically, this work focuses on developing three optimized multi-color linear-solver kernels for the Intel Data Center Max 1550 GPU that is available on the Argonne Leadership Computing Facility’s (ALCF) exascale machine, Aurora. These optimized kernels work for a …

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 …

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, …

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 …

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, …

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 …

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 …

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 …

Antioxidant Potential And Active Compound Identification Of Hylocereus Costaricensis And Hylocereus Undatus Peel Extracts Using Lc-Ms/Ms, Ade Heri Mulyati, Reni Nurmayani, Diana Widiastuti, Siti Warnasih, Siska Elisahbet Sinaga

Chimica et Natura Acta

The object of this research was to determine the antioxidant potential and identify active compounds in the peel extracts of red dragon fruit (Hylocereus costaricensis) and white dragon fruit (Hylocereus undatus). Phytochemical tests were conducted to identify flavonoids, alkaloids, tannins, coumarins, and saponins. The antioxidant activity was assessed using the DPPH assay, while vitamin C content was quantified using UV-Vis spectrophotometry, and bioactive antioxidant compounds were identified through LC-MS/MS spectrophotometry. The results demonstrated that phytochemical screening revealed the presence of flavonoids and alkaloids in both extracts. Antioxidant activity assays indicated that the red dragon fruit peel extract exhibited an IC50 …

Evaluating Quadrupedal Locomotion In Bats: A Geometric Morphometric Comparison Of Vertebral Adaptations Across Mammals, Jessica Upham

Electronic Theses and Dissertations

Flight is the primary locomotion of bats, while quadrupedal locomotion is not often observed and is widely variable among bats. Frugivorous bats in Pteropodidae are more efficient climbers than frugivorous bats in Phyllostomidae and insectivorous bats in Vespertilionidae, while phyllostomids and vespertilionids are better at walking on horizontal surfaces. The aim of this study is to investigate whether bats with differing modes of nonflight locomotion also exhibit disparity in thoracolumbar vertebral morphology. Using geometric morphometrics, we compared the thoracolumbar vertebral shapes of these bat families with other terrestrial and arboreal mammals. The results revealed distinct vertebral shapes among bat families …

Cattle Regenerative Grazing Effects On Bat Activity In Southern Appalachia, Seth Morelock

Electronic Theses and Dissertations

Livestock farming accounts for about 70% of agricultural activity, with continuous grazing as the dominant conventional practice. However, this method often degrades biodiversity and ecosystem health through overgrazing. Regenerative grazing practices offer a potential ecologically sustainable approach to cattle management. Insectivorous bats are known to use agroecosystems for foraging and roosting habitats, offering an opportunity to assess their response to regenerative grazing. Using passive acoustic monitors, we evaluated the response of bats to cattle within regenerative grazed farms in East Tennessee, USA. Overall bat activity declined when cattle entered and exited paddocks, except for the tri-colored bat (Perimyotis subflavus …

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 …

Persistence And Completion Rates Of Community College Students: The Impact Of Receptivity To Social Engagement Scores Compared To Recorded Cocurricular Activity, Nancy Wagner Boylan

Educational Leadership & Workforce Development Theses & Dissertations

This study examined the relationship between Ruffalo Noel Levitz College Student Inventory Receptivity to Social Engagement scores and the persistence and completion of community college students. The Ruffalo Levitz College Student Inventory assesses student receptivity to institutional support services. Receptivity scores indicate a student's willingness to accept help in areas such as academic support and social engagement as well as career and financial guidance.

This research explored the impact of documented cocurricular involvement, measured through student activities indicators, on persistence and completion outcomes. Using ex post facto data and binary logistic regression analyses, the research focused on three populations at …

Fact-Audit: An Adaptive Multi-Agent Framework For Dynamic Fact-Checking Evaluation Of Large Language Models, Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly advanced the fact-checking studies. However, existing automated fact-checking evaluation methods rely on static datasets and classification metrics, which fail to automatically evaluate the justification production and uncover the nuanced limitations of LLMs in fact-checking. In this work, we introduce FACT-AUDIT, an agent-driven framework that adaptively and dynamically assesses LLMs’ fact-checking capabilities. Leveraging importance sampling principles and multi-agent collaboration, FACT-AUDIT generates adaptive and scalable datasets, performs iterative model-centric evaluations, and updates assessments based on model-specific responses. By incorporating justification production alongside verdict prediction, this framework provides a comprehensive and evolving audit of LLMs’ factual reasoning …

Supporting Programmers Answering The Hard-To-Answer Questions Through The Use Of Large Language Models, Haixin Zhou

McKelvey School of Engineering Graduate Student Theses & Dissertations

Programmers often face hard-to-answer questions when working on large-scale projects. Not only during team collaborations, but also during interruptions such as meetings, having to suddenly work on another project, or even just taking a break are major reasons these questions arise, as programmers have to regain the context, knowledge, and mental state to resume the work. Traditional text editors such as GitHub do provide a built-in history system, but they lack historical context behind the editing to answer such questions.

To address this issue, we developed an experimental extension, Code History, on Visual Studio Code (VS Code) in the hope …

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection To Mitigate Immunosuppression, Duo Yu, Michael J Kane, Yiqing Chen, Steven H Lin, Radhe Mohan, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Lymphocytes play critical roles in cancer immunity and tumor surveillance. Radiation-induced lymphopenia (RIL) is a common side effect observed in patients with cancer undergoing chemoradiation therapy (CRT), leading to impaired immunity and worse clinical outcomes. Although proton beam therapy (PBT) has been suggested to reduce RIL risk compared with intensity-modulated radiation therapy (IMRT), this study used Bayesian counterfactual machine learning to identify distinct patient profiles and inform personalized radiation modality choice.

Methods: A novel Bayesian causal inferential technique is introduced and applied to a matched retrospective cohort of 510 patients with esophageal cancer undergoing CRT to identify patient profiles …

A Monte Carlo Analysis Of Cost Competitiveness Of Chinese And U.S. Fine Chemical Exports To Europe Under Europe’S Energy Crisis, Lin Luo

Dissertations

The European energy crisis, driven by geopolitical conflicts, has created a significant supply-demand gap in Europe’s fine chemical sector, necessitating reliance on imports from the United States and China. This quantitative study examined how energy, labor, and logistics costs interacted to shape the cost competitiveness of U.S. and Chinese fine chemical exports to Europe, using a Monte Carlo simulation parameterized with historical data from 2015-2023, to provide a probabilistic forecast of competitive outcomes. The findings revealed that while China holds a 76.55% probability of being the lower-cost supplier, its advantage is characterized by high volatility primarily due to its logistics …

Roadside Asset Extraction From Mobile Lidar Point Cloud, Yushin Ahn, Riadh Munjy, Stephen Choi

Mineta Transportation Institute

Mobile LiDAR systems are powerful tools that help us map roads and their surroundings in 3D with great speed and precision. The data provided by these systems support urban planning efforts, digital mapping, transportation infrastructure maintenance, and more. This report presents a comprehensive workflow for roadside asset extraction using Mobile Terrestrial Laser Scanning (MTLS) data, focusing on road lane detection, cross-section slope analysis, and point cloud classification. Roadside asset extraction is the identification and classification of roadside features like signs and poles. The dataset, acquired using a high-resolution mobile LiDAR system, contains over 5.7 billion points (pieces of data) across …