Digital Commons Network^™

Evaluation Of Achievement Change In Egypt Using Pirls Data, Harry Anthony Patrinos, Maciej Jakubowski, Tomasz Gajderowicz

Education Reform Faculty and Graduate Students Publications

This study analyzes Egypt's exceptional reading achievement gains during the COVID-19 school closures, a period when most countries experienced declines. Drawing on data from the 2016 and 2021 Progress in International Reading Literacy Study (PIRLS), we find a 48-point improvement-equivalent to two years of learning-with notable gains among boys. Using Ordinary Least Squares (OLS) and projected trend models, we confirm the significance of this rise. Oaxaca-Blinder decomposition attributes only one-third of the improvement to observed factors. The study finds that Egypt's progress likely reflects systemic reforms, but more research is needed to confirm that.

The Collision Course Between Outdated State Laws And Automated Vehicles, William Hubbard, Colin Starger

Articles

America stands at the precipice of a vehicular revolution. Myriads of self-driving vehicles—often referred to as “automated vehicles” or “AVs”—are already rolling out across the nation, and innovators assert that AVs will make our roads safer, less congested, and more economically productive. However, reaching these dreams of self-driving utopias will require more than just technological progress. The uses of traditional vehicles are heavily regulated by hundreds of thousands of state laws that ensure public safety, health, and order. Will these traditional laws still make sense when AVs shift the paradigm? Despite the hype and optimism of many AV advocates, this …

Advancing U.S. Competitiveness In Agentic Gen Ai: A Strategic Framework For Interoperability And Governance, Satyadhar Joshi

Harrisburg University Other Works

Abstract : The rapid evolution of artificial intelligence has given rise to agentic AI systems—autonomous entities capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This work provides a systematic analysis of agentic AI frameworks, governance models, and implementation strategies. Drawing on a comprehensive review of the literature, we examine the current state of agentic AI technologies, highlight key challenges in governance, security, and ethical oversight, and compare architectural frameworks for responsible deployment. Our results, illustrated through detailed framework comparisons and governance analyses, demonstrate that while agentic AI holds transformative potential across multiple sectors, notable …

Fichte’S Conception Of Law And Its Foundations, Mahmoud Saraya

Theses and Dissertations

The question concerning the true nature of law has frequently arisen throughout the history of philosophy, and many different answers have been given to it. This thesis examines Johann Gottlieb Fichte’s Foundations of Natural Right (1796–1797), which exemplifies an approach to understanding the nature of law by inquiring into its metaphysical foundations. Fichte provides a conception of law founded upon the possibility of the existence of an external world, individuality, and intersubjectivity. Law, as a moment of human self-consciousness, becomes a necessity, a condition of self-consciousness, and the ultimate foundation of human existence. Fichte’s theory shows the preconditions for establishing …

First-Time Mothers' Experiences Of Breastfeeding During The Early Postpartum Period In Nairobi, Kenya: A Qualitative Study, Viola Siongei, Rose Maina, Eunice Pallangyo

School of Nursing & Midwifery, East Africa

Background/Aims The rate of exclusive breastfeeding in the first 6 months is still low, despite global active promotion of the practice. The exclusive breastfeeding rate among first-time mothers is much lower than among multiparous women, which has been attributed to difficulties assuming the new role and a lack of breastfeeding skills. This study aimed to gain an in-depth understanding of first-time mothers' breastfeeding experiences and the factors that influence these experiences during the early postpartum period in Nairobi, Kenya.

Methods This qualitative explorative, descriptive study involved 17 purposively sampled first-time mothers at 4–6 weeks postpartum. In-depth, face-to-face semi-structured interviews were …

A Study Of The Privacy Paradox Amongst Young Adults In The United Arab Emirates, Lena Yuryna Connolly, Michael Lang, Justin Giboney

All Works

The rapid digitalisation of society has significantly increased the collection and processing of personal data, raising concerns about individuals’ privacy. The privacy paradox, where individuals express privacy concerns yet continue to disclose personal information, has been widely studied in Western and Asian contexts, but remains underexplored in the Arab world. This study investigates privacy attitudes and behaviors in the United Arab Emirates (UAE), a region at the crossroads of traditional Islamic values and Western influences. Using survey data from 216 Emirati university students, we tested a model that incorporates five constructs: peer interaction and influence, desire for privacy, privacy concerns, …

Documents From The September 24, 2025 Meeting Of The Associated Students Of The University Of Montana (Asum), Associated Students Of The University Of Montana, Kate Austin Payne

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the September 24, 2025 meeting of the Associated Students of the University of Montana (ASUM).

Tissue Engineered Combinatorial Therapeutics For Spinal Cord Injury Repair, Inha Baek

Graduate Theses and Dissertations

Traumatic spinal cord injury (SCI) lead to temporary or permanent sensorimotor deficit due to the complex and multifaceted features of the injury site, making the treatments ineffective. Recent research emphasizes the potential of combinatorial therapeutics approaches combining different therapeutics, such as biomaterials and stem cell transplantation. In this context, nerve composite hydrogels, fabricated from decellularized sciatic nerve (dSN) and spinal cord (dSC) extracellular matrices (ECM), might be promising platforms due to their biocompatibility and ability to mimic native microenvironments. In this study, we developed and characterized nerve mimetic composite hydrogels embedded with human adipose-derived stem cells (hASCs) and investigated their …

Switching Performance Optimization Of Sic Mosfets With Digital Active Gate Drivers, Liyang Du

Graduate Theses and Dissertations

Silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs) have extensive applications in high-power density devices, but they exhibit quick switching transients that are problematic, including electromagnetic interference (EMI), voltage overshoot, and current imbalance between paralleled devices. The purpose of this dissertation is to maximize the switching performance of SiC MOSFETs using digital active gate drivers (AGDs). A three-level gate driving approach is presented to improve current sharing in paralleled SiC MOSFETs through turn-on voltage and gate signal delay adjustment. Closed-loop control with real-time feedback ensures high-reliability operation. For better practicability, a compact AGD structure of a single-path Class-B amplifier-based topology is …

Dual Investigations Into Broiler Health: Mitochondrial Gene Expression In Ascites Susceptibility And G-1,25(Oh)₂D₃-Driven Modulation Of Bone And Gut Integrity In Lameness, Layla Hussein Al-Mitib

Graduate Theses and Dissertations

Modern broiler production faces persistent challenges from metabolic and skeletal disorders, particularly ascites and bacterial chondronecrosis with osteomyelitis (BCO), which compromise animal welfare and production efficiency. This dissertation examines two key factors that contribute to these conditions: mitochondrial gene expression associated with pulmonary hypertension syndrome (PHS) and the role of intestinal barrier integrity in mitigating lameness. In the first study, the expression of mitochondrial genes COXII and ATP6 was evaluated in the breast, thigh, and lung tissues of three broiler genetic lines—ascites-susceptible (SUS), ascites-resistant (RES), and unselected relaxed (REL). While no significant expression differences were observed in muscle tissues, SUS …

Helping Someone Off The Hook: Post-Moral Disengagement As An Interpersonal Emotion Regulation Strategy In A Hypothetical Alcohol-Involved Sexual Assault Vignette, Kayla Ford

Graduate Theses and Dissertations

Post-moral disengagement (PMD) is posited as a form of interpersonal emotion regulation that involves altering the severity of harmful conduct and/or the transgressor’s personal responsibility to facilitate avoidance of negative emotions like guilt, which could maintain problematic behaviors. A pervasive harmful behavior on college campuses is alcohol-involved sexual violence, wherein intoxication is often used as an excuse or justification for assault. Though some aggressors of sexual violence experience guilt afterwards, it is unclear how bystanders might respond to this display of emotion and the potential applicability of PMD. As an initial step to assessing PMD as interpersonal emotion regulation, the …

Stay Woke: Understanding Critical Consciousness Development In Adults And Its Relationship To Psychological Constructs, Christin Alexandra Mujica

Graduate Theses and Dissertations

Racism confers numerous measurable health risks for people of color. Interventions to mitigate the impact of racism on health are necessary and important to reduce disease burden and improve health outcomes for people of color. While communities of color have developed resiliency tactics that have allowed them to survive, even thrive, in the face of racial oppression, the evaluation and promotion of promising tools that counteract racism’s negative impacts are essential (Phillips et al., 2015). Critical consciousness is just such a tool. Research with children suggests it holds promise (Diemer et al., 2016; Heberle et al., 2020; Maker-Castro et al., …

Media’S New-Age Opinion Leaders: Audience Perceptions Of Smi Credibility And Opinion Leadership Role, Alyssa Claire Riley

Graduate Theses and Dissertations

With worldwide technological and communication advancements in the last few decades, everyday citizens can capture, create, and share news through social media platforms. Nowadays, prominent social media influencers (SMIs) influence where and from whom online audiences consume their news and information. This study aims to explore how different SMI attributes – such as attractiveness, expertise, and trustworthiness – and their social media tactics create or add to audience perceptions of SMIs as credible online opinion leaders. Applying Two-Step Flow theory and Source Credibility theory, the study used data from a survey of 115 participants to understand how audiences perceived the …

The Cannon-Thurston Map For Relatively Hyperbolic Free-By-Cyclic Groups, Kailey Beth Perry

Graduate Theses and Dissertations

Let F = H1 ∗ · · · ∗ Hk ∗ Fr be a splitting of a finitely generated free group, H = {H1 , . . . , Hk } a set of subgroups of F , and Φ ∈ Aut(F ) an automorphism such that for any i, Φ([Hi ]) = [Hj ] for some j. Consider the free-by-cyclic group Gϕ = ⟨F, t | t−1 xt = Φ(x)⟩. Suppose Gϕ is strongly hyperbolic relative to H̃ = {H̃1 , . . . , H̃k }, where H̃i = ⟨Hi , t | t−1 xt = Φ(x)⟩. In …

Moral Worth And Motivational Demands, Spencer Heitman

Graduate Theses and Dissertations

It has become a philosophical commonplace to distinguish actions that are merely right from actions that possess moral worth. To be right, an action needs only to accord with the demands of morality. To possess moral worth, an action needs not only to be right, but to be non-accidentally so. While this much is uncontroversial, what is involved in this sense of non-accidentality is a matter of ongoing debate. This thesis lies at the heart of that debate. Many parties to this debate agree that actions with moral worth must be properly motivated. Suppose someone speaks respectfully to a colleague …

Synthesis Of Pillar[N]Arenes And Bridge-Functionalized Pillar[N]Arenes Via Cyclic And Acyclic Acetals, Babitha Machireddy

Graduate Theses and Dissertations

Pillar[n]arenes are macrocyclic compounds consisting of ‘n’ hydroquinone units linked by para-methylene bridges. Since their first report of facile synthesis 17 years ago, pillararenes have attracted significant interest due to their versatile functionality, electron-rich cavity, crystalline nature, and planar chirality. These unique properties have enabled a broad range of practical applications, including small molecule separation, formation of one-dimensional and two-dimensional channels, drug delivery systems, and enhanced emissive and fluorescent properties. The ease of synthesis of pillararenes has been one of the key factors in their widespread adoption and continued exploration in supramolecular chemistry and material science. Despite the efficiency and …

Rumination And Inhibitory Control In Suicidal Ideation: The Role Of Explicit And Implicit Emotional Processing, Arooj Abid

Graduate Theses and Dissertations

Suicide is the tenth leading cause of death in the United States, and suicidal ideations (SI; thinking, considering, or planning suicide) are a strong predictor of suicide attempts. Prior literature describes inhibitory control as an important facet of regulating negative thoughts, and studies suggest that inhibitory control deficits and engagement in brooding rumination are risk factors of SI. Recent studies have found implicit cognitive markers of suicidality suggesting that level of processing may variably be linked to SI. This study examined the relation between aspects of inhibitory control across explicit and implicit emotional contexts and levels of brooding rumination among …

The Intersection Of Race And Nativity: Exploring Criminal Justice Contact Among Black Adults In The United States., Uchenna Makuochukwu Onuoha

Graduate Theses and Dissertations

Black immigrants in the United States navigate a dual identity as both Black and immigrant, yet their unique experiences remain underexplored in research on immigration and crime. While prior studies have documented generational differences and negative associations between immigration and crime, the intersection of race and nativity in shaping criminal justice contact for Black immigrants is unknown. Using data from the National Longitudinal Study of Adolescent to Adult Health, this study examines the role of race and nativity on various forms of criminal justice contact. Specifically, we investigate (1) the extent to which nativity plays a role in criminal legal …

Sound Decisions: The Impact Of Music Genre In Fashion Advertising On Consumer Perceptions And Purchase Intention, Cassandra Thomas

Graduate Theses and Dissertations

This study examines how music genre, brand type, and the perceived congruency between the two influences consumer perceptions of fashion advertising. Guided by Congruity Theory and Attitude Theory, this study employed a 3x3 experimental design in which 252 participants viewed one of nine advertisement conditions varying by music genre (pop, hip-hop, electronic) and brand type (activewear, fast fashion, luxury). A series of one-way ANOVAs, bivariate correlations, and regression analyses were conducted to interpret the effects of music genre, brand type, and perceived congruency on attitudes toward 1) the advertisement and brand, 2) credibility of the advertisement and brand, and 3) …

Nanoparticle Iron Based Catalysts For Clean Water And Other Applications, Shelby Lynn Foster

Graduate Theses and Dissertations

This dissertation explores the development, characterization, and application of iron-based catalysts for environmental remediation and energy generation. The research focuses on Fe-based nanomaterials for water purification, electrochemical ammonia production, and ethanol oxidation enhancement. The first section of the dissertation investigates the removal of water contaminants using nickel-iron (NiFe) bimetallic nanoparticles. Various NiFe ratios were synthesized and tested for their efficiency in degrading the azo dye (Orange G), with lower Ni content formulations achieving 80–99% dye removal within 60 minutes. Results show that changing the molar ratio of nickel to iron caused different removal rates, as well as the extent of …

Association Between Decisional Conflict And Quality Of Life Among Parents With A Child Undergoing Hospital-Based Treatment For A Recent Cancer Diagnosis, Augustine Provencio

Doctoral Dissertations

Having a child with a chronic illness, such as cancer, can cause families significant distress. Parents of these children must make frequent decisions relating to their child’s care. Depending on factors such as health literacy and support from medical staff, parents may have varying levels of decisional conflict (DC) throughout the decision-making process. Compounding stress throughout their child’s illness can often contribute to lower levels of health-related quality of life (HRQoL) while their child is receiving hospital-based treatment. Parents with a non-English language preference (NELP) often have greater challenges navigating healthcare systems due to a lack of resources and limited …

How Do Self-Employment Rates Change Across The Lifespan?, Cal J. Halvorsen, Bruna C. Lopez

Harvey A. Friedman Center for Aging

People pursue self-employment for a variety of reasons, including autonomy, the ability to pursue their own goals, and income. Yet for many older people who are not yet eligible for Social Security retirement benefits, which can begin at age 62, or Medicare, the U.S. health insurance program that generally begins at age 65, self-employment is also associated with less health insurance and retirement savings program coverage. 1,2 3,4

This research brief asks, What is the proportion of Americans who are self-employed, and how do these rates change throughout the life course?

Investigating The Impact Of Forest Vegetation On Nuclear Weapon Prompt Radiation Energy Deposition, Paul A. Clement

Theses and Dissertations

This work seeks to answer the unstudied questions “Does a layer of vegetation impact the prompt radiation energy deposition in the soil from an atmospheric nuclear detonation?” and “If yes, by how much?” A new methodology was developed to repeatably automate and streamline a process of generating a three-dimensional geometry for subsequent radiation transport simulations and statistical analysis. The methodology streamlined three diverse applications: a three-dimensional mesh generator, a radiation transport simulation code, and a sensitivity analysis & uncertainty quantification software. The methodology was tested by simulating the quantitative influence that vegetation has on changing the energy deposition into the …

Automation Of Lcmc Logistics Processes: A Delphi Approach, Kline M. Alt

Theses and Dissertations

As the U.S. Air Force confronts growing complexity in system acquisition, the implementation of digital models in system design and logistics process management allows the incorporation of digital tools and the possibility for automation of portions of logistics processes. This thesis investigates where these technologies can be most effectively integrated within the Air Force Life Cycle Management Center logistics enterprise (AFLCMC). Using a three round Delphi study, AFLCMC logistics subject matter expert (SME) opinions were solicited from program-level senior logisticians, program managers to identify high-need areas, key success factors, and potential barriers to adoption. Quantitative consensus from Likert-scale and ordinal …

Learning Orientation Field For Osm-Guided Autonomous Navigation, Yuming Huang, Wei Gao, Zhiyuan Zhang, Maani Ghaffari, Dezhen Song, Cheng-Zhong Xu, Hui Kong

Research Collection School Of Computing and Information Systems

OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, existing methods often struggle with noisy OSM data and incomplete sensor observations, leading to inaccuracies in trajectory planning. These challenges are particularly evident in complex driving scenarios, such as at intersections or facing occlusions. To address these challenges, we propose a robust and explainable two-stage framework to learn an Orientation Field (OrField) for robot navigation by integrating LiDAR scans and OSM routes. In the first stage, we introduce a novel representation, OrField, which can provide orientations for each …

Probabilistic Modeling, Learnability And Uncertainty Estimation For Interaction Prediction In Movie Rating Datasets, Jennifer Poernomo, Nicole Gabrielle Lee Tan, Rodrigo Alves, Antoine Ledent

Research Collection School Of Computing and Information Systems

In this paper, we examine the hypothesis that the interactions recorded in many Recommendation Systems datasets are distributed according to a low-rank distribution, i.e. a mixture of factorizable distributions. Surprisingly, we find that on several popular datasets, a simple non-negative matrix factorization method equals or outperforms more modern methods such as LightGCN, which indicates that the sampling distribution over interactions is indeed low-rank. Furthermore, we mathematically prove that low-rank distributions are learnable with a sparse number of observations (where m/n and r refer to the number of users/items and the non-negative rank respectively) both in terms of the total variation …

Privacy-Preserving Ridge Regression Over Encrypted Data Under Multiple Keys, Yanling Li, Junzuo Lai, Meng Sun, Beibei Song, Robert H. Deng

Research Collection School Of Computing and Information Systems

With the increase of private data being collected by data owners, it has been a trend for data owners to store the data on cloud computing platforms. The huge amounts of data in cloud servers bring fresh development opportunities to machine learning, which is applied to build a high-quality machine learning model based on a large training dataset. However, to ensure the privacy of data and facilitate retrieval, data owners often upload encrypted data under their public keys. But it creates new challenges for machine learning to learn a predictive model over these encrypted data under different keys. Most existing …

An Efficient Security-Enhanced Accountable Access Control For Named Data Networking, Jianfei Sun, Yuxian Li, Xuehuan Yang, Guomin Yang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Named Data Networking (NDN) is embraced as the crucial implementation of Information-Centric Networking (ICN), enhancing content distribution and caching efficiency through edge routers. However, existing NDN architectures face significant security and privacy challenges, including: (a) a lack of secure and efficient access control; (b) inadequate support for flexible and selective content management by content publishers; (c) insufficient implementation of accountability and privilege revocation mechanisms. To handle these challenges, we propose ESAS, the first-ever Efficient Security-enhanced Accountable Access Control Scheme for NDN. Specifically, our ESAS incorporates anonymous authentication using group signatures at network routers to prevent unauthorized access, employs key-aggregation-based access …

From Release To Adoption: Challenges In Reusing Pre-Trained Ai Models For Downstream Developers, Peerachai Banyongrakkul, Mansooreh Zahedi, Patanamon Thongtanunam, Christoph Treude, Haoyu Gao

Research Collection School Of Computing and Information Systems

Pre-trained models (PTMs) have gained widespread popularity and achieved remarkable success across various fields, driven by their groundbreaking performance and easy accessibility through hosting providers. However, the challenges faced by downstream developers in reusing PTMs in software systems are less explored. To bridge this knowledge gap, we qualitatively created and analyzed a dataset of 840 PTM-related issue reports from 31 OSS GitHub projects. We systematically developed a comprehensive taxonomy of PTM-related challenges that developers face in downstream projects. Our study identifies seven key categories of challenges that downstream developers face in reusing PTMs, such as model usage, model performance, and …

Apidocbooster: An Extract-Then-Abstract Framework Leveraging Large Language Models For Augmenting Api Documentation, Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo

Research Collection School Of Computing and Information Systems

API documentation is often the most trusted resource for programming. Many approaches have been proposed to augment API documentation by summarizing complementary information from external resources such as Stack Overflow. Existing extractive-based summarization approaches excel in producing faithful summaries that accurately represent the source content without input length restrictions. Nevertheless, they suffer from inherent readability limitations. On the other hand, our empirical study on the abstractive-based summarization method, i.e., GPT-4, reveals that GPT-4 can generate coherent and concise summaries but presents limitations in terms of informativeness and faithfulness. We introduce APIDocBooster, an extract-then-abstract framework that seamlessly fuses the advantages of …