Digital Commons Network^™

Pathways Through Barriers: A Qualitative Study Of Career Advancement Among International Graduates Of Illinois Public Higher Education Institutions, Tieola Lambey Requena

Theses and Dissertations

International students represented an important sector of the United States higher education and labor force ecosystem, contributing significantly to academic innovation, institutional diversity, and economic growth. Illinois, which is a major educational and industrial hub, attracted thousands of international students annually and played a critical role in the development of global talent essential to both the state and the national economy. Despite these contributions, international students faced persistent challenges when navigating career advancement in the United States. Recent immigration policy shifts intensified national security concerns and employer reluctance to sponsor visas, reframing international students from valued contributors to perceived labor …

Relative Utility Governs Working Memory For Drug-Associated Stimuli In A Novel Translational Paradigm, Maxwell E. Boileau

Theses and Dissertations--Psychology

Substance use disorder (SUD) remains a prevalent health concern, partially characterized by continued drug use despite aversive consequences. Contrary to accounts emphasizing cognitive deficits, drug versus non-drug choice data reflect sensitivity to reinforcement dimensions, with preference shifting systematically as a function of magnitude and probability. The present study tested whether another cognitive system, working memory, is similarly affected by relative utility. Preclinical studies have demonstrated sensitivity of working memory to reinforcement dimensions, but these are often attributed to the differential outcomes effect. Generalized matching models were fit to allomorphic choice data, allowing estimation of exchange rate parameters. A concurrent solid- …

Exploring The Impact Of Pre-Assessment Rapport-Building On Children’S Evaluation Outcomes, Alyssa N. Springstead Knutz

Doctor of Psychology (PsyD)

Psychological assessment with children is vulnerable to inequities that arise from cultural mismatch, situational anxiety, and the interpretive nature of examiner judgement. This pilot study examined whether a brief, standardized pre-assessment sandtray activity could enhance children’s assessment experience and observational richness by supporting rapport prior to testing. Using a within-subjects, counterbalanced crossover design, 10 children (ages 7-10) completed two assessment sessions on separate days: one session included a 20-minute guided sandtray task immediately before testing and one session proceeded directly to testing. Quantitative outcomes included state anxiety (SAI-CH-6), general self-efficacy (GSE), and performance on brief standardized tasks (WJ-IV Math Fluency …

The Future Of Monetary Federalism: Rethinking Supremacy In The Stablecoin Era, Richard H. Fair

American University Business Law Review

[INTRODUCTION] In the summer of 2023, the State of Wyoming enacted a law authorizing its state treasurer to issue a blockchain-based, state-backed digital stablecoin known as the Wyoming Stable Token (“WYST”). Two years later, Congress passed the Guiding and Establishing National Innovation for U.S. Stablecoins Act (GENIUS Act, GENIUS, or the Act), moving to establish a comprehensive federal regulatory regime for stablecoins. These dueling initiatives have sparked more than regulatory confusion; they have set the stage for a structural clash between state financial innovation and federal monetary supremacy. At the heart of this confrontation lies a question that the Constitution …

A Proposed Tort To Address The Negligent Enablement Of Cloud Data Breaches, Michael L. Rustad

American University Business Law Review

[INTRODUCTION] The term “cloud computing” means the remote storage of software applications, tools, and data accessed through the internet. Cloud customers enter into subscription agreements with providers who give 24/7, on-demand, as-needed access to software, storage, and networking services owned and managed by providers through a web browser. “Many businesses are transitioning to the cloud for data storage, remote work, and collaboration.” Cloud providers operate their software as a software-as-a-service (“SaaS”) model, under which customers pay a subscription fee to access the software. Netflix and Amazon Prime Video are examples of subscription services that deliver television programs and videos through …

The Investor Perspective Of Materiality, Sam Lessinger

Honors Undergraduate Theses

Often auditors are asked to adopt the reasonable investor perspective in their materiality evaluations however, there is no consensus regarding what investors deem to be material. This can lead to confusion in the markets. In fact, past studies have shown how taking an investor perspective can backfire and may result in more leniency and fewer misstatements being deemed material by auditors. This leniency can, potentially, result in financial statements that mislead investors. The aim of this paper is to address the reasonable investor perspective to achieve a more complete understanding of an investor’s viewpoint. This study also incorporates the effect …

Financial Literacy And Inclusion Of Philippine Jeepney And Tricycle Drivers, Bryan N. Bernabe, Jyro B. Triviño

Leadership and Strategy Faculty Publications

The study investigated how the different elements of financial literacy influence the financial inclusion of jeepney and tricycle drivers in Caloocan, Metro Manila. Pearson correlation analysis revealed a positive correlation between financial inclusion and attitude, behavior, knowledge, and skills. Additionally, analysis of variance highlighted that education and age play significant roles in enhancing financial literacy. The linear regression findings also supported the idea that income acts as a positive moderator, augmenting the impact of financial literacy on financial inclusion. The study attempted to disaggregate its financial literacy components to understand their impact on financial inclusion, but its interrelationships also require …

Measuring Academic Momentum: A Quantitative Study Of Supplemental Instruction As A Community College Student Support Strategy, Cornelia Slater

Dissertations of Practice

ABSTRACT

MEASURING ACADEMIC MOMENTUM: A QUANTITATIVE STUDY OF SUPPLEMENTAL INSTRUCTION AS A COMMUNITY COLLEGE

STUDENT SUPPORT STRATEGY

Cornelia Vanessa Slater, Ed.D.

Department of Counseling and Higher Education

Northern Illinois University, 2026

Quortne R. Hutchings, Director

Community colleges serve as critical access points to higher education for diverse populations of students where completion rates are an ongoing challenge. Supplemental Instruction have been used as an academic intervention to improve success largely in four-year institutions. This quantitative study, guided by Xueli Wang’s momentum theory analyzed two research questions: (1) how supplemental instruction (SI) participation is associated with student academic success, course retention …

Examining The Association Between Educational Spending In Well-Resourced School Districts And The Academic Performance Of Hispanic Students In Low Socioeconomic Communities, Alicia Cieszykowski

Dissertations of Practice

ABSTRACT

EXAMINING THE ASSOCIATION BETWEEN EDUCATIONAL SPENDING IN WELL-RESOURCED SCHOOL DISTRICTS AND THE ACADEMIC PERFORMANCE OF HISPANIC STUDENTS IN LOW SOCIOECONOMIC COMMUNITIES

Alicia Cieszykowski

Department of Leadership, Educational Psychology and Foundations

Northern Illinois University, 2026

Benjamin Creed, Director

This study examined the relationship between school district expenditure patterns and academic performance for Hispanic students in adequately funded Illinois school districts. Using a quantitative correlational design, the study explored whether overall spending levels and the allocation of financial resources were associated with Hispanic student achievement and Hispanic–White academic disparities in English Language Arts (ELA) and mathematics. The sample included Illinois Tier …

Lost In The Language: Data Breaches And The Strategic Fog Of Risk Disclosures, Ling Tuo, Shipeng Han

Accounting Faculty Publications

This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm-year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability. This decline is not accompanied by a meaningful increase in informational content; instead, post-breach disclosures exhibit higher syntactic complexity, more positive tone, and lower textual similarity to prior and industry peers' filings, consistent with strategic obfuscation rather than transparent reporting. The readability decline is amplified among firms facing higher litigation risk but attenuated among firms with stronger reputations for …

Lessons On Generative Artificial Intelligence From The American Association Of Dental Editors And Journalists (Aadej), Christopher J. Smiley

Journal of the American College of Dentists

The American Association of Dental Editors and Journalists (AADEJ) recently released "Guidance for Authors, Editors and Publishers on the Use of Generative AI". Developed by an 11-member stakeholder panel, this guidance paper serves a dual purpose: It provides practical strategies for mitigating the risks that generative artificial intelligence (GAI) poses to professional writing and explains how GAI creates these risks. Understanding both the underlying vulnerabilities of GAI and how to address them is critical for users at all levels, from authors and reviewers to editors, publishers, and general users, to maintain the validity and reliability of their written work. This …

Machine Learning Prediction Of Federal Appellate Court Outcomes: A Multi-Circuit Analysis With Administrative Law Implications, Nicky Nuertey Apenahier

Dissertations and Theses

Federal appellate courts are the final arbiters in many cases, yet systematic machine learning analysis across all twelve circuits remains largely absent from the computational law literature. With courts of appeals deciding tens of thousands of cases annually and the Supreme Court reviewing only a fraction, understanding what predicts reversal outcomes has both theoretical importance and practical consequences for litigants, attorneys, and judicial administrators. This study addresses that gap using eleven years of federal appellate decisions from the Federal Judicial Center’s Integrated Database. A systematic comparison of twenty-five machine learning models, spanning five algorithms and five class-imbalance correction strategies, identifies …

Retention In A Community College In A Rural State In The Midwest: Factors Associated With Persistence And Withdrawal, Samantha Reeves Grady

Dissertations and Theses

This qualitative case study examined the factors associated with students’ persistence or withdrawals from courses during the Fall 2025 semester at a community college in the Midwest. Guided by research questions exploring what factors supported students in completing their courses and what prompts course withdrawals. Data was collected through semi-structured interviews and focus groups with students who had withdrawn from one or more courses during the Fall 2025 semester. Using thematic analysis, several key themes emerged. Findings indicated that academic difficulties contributed significantly to student withdrawals. Additionally, course load intensity and competing external factors further hindered student persistence. Students, in …

Graduate Catalog 2026-2027, Southwestern Oklahoma State University

Graduate Catalogs

No abstract provided.

Multimodal Machine Learning For Alzheimer's Disease Classification Using Adni Biomarker Fusion, Hesameddin Mostaghimi, Hamid R. Okhravi, Bahar Niknejad, Daniel A. Cohen, Michel A. Audette, Alzheimer's Disease Neuroimaging Initiative

Electrical & Computer Engineering Faculty Publications

Despite ongoing advances, accurate diagnosis of Alzheimer’s disease (AD) remains challenging due to its multifactorial nature, comorbidities, and clinical heterogeneity. Accordingly, approaches that combine multimodal data may improve AD classification by integrating complementary information. To investigate this, we evaluated classification performance using a preprocessed ADNI-3 dataset comprising a shared set of clinical/cognitive features along with four imaging modality-based cohorts: trimodal (MRI + amyloid PET + tau PET), MRI + amyloid PET, MRI + tau PET, and MRI-only. We trained a range of supervised machine learning (ML) and deep learning (DL) classifiers using stratified five-fold cross-validation and evaluated performance using accuracy, …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Purpose: To develop a mathematical framework to estimate the in silico A0 threshold based on the technical specifications of a specific ablation confirmation software package for thermal ablation of liver tumors that can then be used to identify the impact of different sources of error.

Methods: To estimate in silico A0 thresholds, we developed a simulation framework incorporating technical parameters and biological effects. Technical parameters were segmentation error, registration error, and slice thickness, and biological effects were tissue shrinkage and microscopic satellite lesions; these parameters and effects were all modeled using statistical distributions. For each permutation of parameters, a logistic …

Mathematical Modeling Predicts Novel Mechanisms Of Stream Confinement From Trail/Colec12/Dan In The Collective Migration Of Cranial Neural Crest Cells., Samuel W S Johnson, Paul M. Kulesa, Ruth E. Baker, Philip K. Maini

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: In vertebrate embryogenesis, cranial neural crest cells (CNCCs) migrate along discrete pathways. Analyses in the chick have identified key molecular candidates for the confinement of CNCC migration to stereotypical pathways as Colec12, Trail, and Dan. The effects of these factors on CNCCs in vitro are known, but how they confine migration to discrete streams in vivo remains poorly understood. Here, we propose and test several hypothetical mechanisms by which these factors confine cell streams and maintain coherent migration, simulating an expanded agent-based model for collective CNCC migration.

RESULTS: Model simulations suggest that Trail enhances adhesion between CNCCs, facilitating movement …

The Pure Yang-Mills Field: The Mass Gap; Axioms Minus One, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

A strictly positive gap at low temperatures is demonstrated in the energy spectrum of the previously constructed pure Yang-Mills quantum gauge field theories. Axioms other than the cluster axiom are verified.

Scaling Laws, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

A maximum entropy principle is assumed.

Scaling laws, accurate to all orders, are constructed for Navier-Stokes and Euler fluids and for quantum Yang-Mills fields.

Conventional renormalization group scaling is accurate to all orders in a large time asymptotic limit. At intermediate times, corrections to conventional scaling at less than leading order describe the expected timing for a finite sequence of blowups.

The extension to quantum general relativity is indicated.

The Pure Yang-Mills Field, Repeated Blowups, James Glimm, James G. Glimm

Department of Applied Mathematics & Statistics Faculty Publications

The temporal scaling of the quantum Yang-Mills solution is characterized by analytic solutions for a limited time interval, ended by a discontinuity (blowup).

For general initial conditions, there will be a finite series of these discontinuities.

The time asymptotic limit of this series of discontinuities is given as the mean of these solutions, starting with the mean of the initial data. The time asymptote is the solution in $\mathcal{S}'$ of the heat equation as a stochastic process.

The time asymptote satisfies the cluster axiom, to complete the requirements for a solution of the Millennium Yang-Mills problem.

The principle of a …

Provgen: A Privacy-Preserving Approach For Outcome Validation In Genomic Research, Yuzhou Jiang, Tianxi Ji, Erman Ayday

Faculty, Staff and Student Publications

As genomic research has grown increasingly popular in recent years, dataset sharing has remained limited due to privacy concerns. This limitation hinders the reproducibility and validation of research outcomes, both of which are essential for identifying computational errors during the research process. In this paper, we introduce PROVGEN, a privacy-preserving method for sharing genomic datasets that facilitates reproducibility and outcome validation in genome-wide association studies (GWAS). Our approach encodes genomic data into binary space and applies a two-stage process. First, we generate a differentially private version of the dataset using an XOR-based mechanism tailored to biological characteristics. Second, we restore …

Non-Smooth Solutions Of The Navier-Stokes Equation And Their Means, James Glimm, Jarret Petrillo

Department of Applied Mathematics & Statistics Faculty Publications

Non-smooth (finite time blowup) Leray-Hopf solutions of the incompressible Navier-Stokes equation are constructed. The initial data for blowup is characterized by nonzero energy related turbulent fluctuations. The construction occurs in a finite periodic cube T3. The mean value of a weak solution of the Navier-Stokes equation is identified as a smooth solution of the Navier-Stokes equation.

Grading Melanocytic Dysplasia: Updated Histopathologic Criteria, Christopher R Shea, Victor G Prieto, Catherine M Shachaf, Scott R Florell

Faculty, Staff and Student Publications

Dr. Martin C. Mihm, Jr.'s innovative work on the dysplastic nevus achieved a milestone in his chapter in the World Health Organisation Classification of Skin Tumours (WHO-C). WHO-C presents a dichotomous classification (high-grade versus low-grade dysplastic nevi) and a quantitative metric to assess melanocytic nuclear enlargement. The Duke classification is a related approach that provides mostly quantitative histopathologic criteria for dysplastic nevi and gives due weight to architectural features as well as cytology. This paper proposes and illustrates updated criteria for scoring and grading melanocytic dysplasia, incorporating some of the definitions and categories of WHO-C, while refining the quantitative and …

Preclinical Ischemic Stroke Multicenter Trials (Prism) Collective Statement: Opportunities, Challenges, And Recommendations For A New Era, Cenk Ayata, Philip M Bath, Anna M Planas, Stuart M Allan, Johannes Boltze, Ryan P Cabeen, Claire L Gibson, Marilyn J Cipolla, Marcio A Diniz, Stefano Fumagalli, Fahmeed Hyder, Raymond C Koehler, Arthur Liesz, Sarah K Mccann, Tim Magnus, Louise D Mccullough, Emily S Sena, Simone Beretta, Jaroslaw Aronowski, Francesca Bosetti, Clinton B Wright, Patrick D Lyden, Lauren H Sansing

Faculty, Staff and Student Publications

Preclinical stroke research faces a critical translational gap, with animal studies failing to reliably predict clinical efficacy. To address this, the field is moving toward rigorous, multicenter preclinical randomized controlled trials (mpRCTs) that mimic phase 3 clinical trials in several key components. This collective statement, derived from experts involved in mpRCTs, outlines considerations for designing and executing such trials. mpRCTs offer advantages such as increased sample sizes, robust statistical design, incorporation of heterogeneity, and standardized protocols, but they face challenges in finding the right balance between standardization and heterogeneity, appropriate stroke model selection, and outcome measures, as well as the …

Enablers And Constraints To Implementing Intellectual Virtues Pedagogy In A Higher Education Context: A Teacher Educator Perspective, Ellen Larsen, Katie M. Burke, Melissa Fanshawe A/P, Yvonne Salton, Mark Oliver

Australian Journal of Teacher Education

Higher education aims to develop graduates with specific professional and disciplinary expertise and lifelong learning capabilities. We argue that instruction for these learning dispositions, conceptualised in this study as intellectual virtues, is challenging and complex. We report on practitioner research conducted by nine teacher educators as we worked to implement intentional instruction of intellectual virtues in our teacher education courses. Drawing on online surveys and reflective conversations, we used descriptive statistical and thematic analysis to investigate the approaches taken to integrate the intellectual virtues and, more specifically, the challenges and opportunities for doing so. Findings highlighted the structural, cultural, and …

Misconceptions Among Grade Ix Students Regarding The Conservation Of Mass During Combustion At Norbugang Central School In Bhutan, Damcho Gyeltshen

Australian Journal of Teacher Education

This study investigated misconceptions about the conservation of mass among Grade IX students at Norbugang Central School, Bhutan, and examined the effectiveness of two theory-driven instructional strategies: the Conceptual Change Model (CCM) and the Predict, Explain, Observe, Explain (PEOE) approach. A quasi-experimental pre-test post-test control group design was employed with 100 students. A ten-item double-tier diagnostic test elicited students’ responses and reasoning, complemented by semi-structured interviews. Quantitative data were analysed using frequencies, paired-sample t-tests, and Cohen’s d, while qualitative data were analysed thematically. Findings indicated that the experimental group achieved a significant reduction in misconceptions, particularly for observable open-system combustion, …

Provoking Generative Ai Futures: Merging Theory And Praxis, Regina M. Luttrell Ph.D., Nick Bowman

Media Studies - All Scholarship

An accessible exploration of the myriad applications and challenges of generative AI for media and communication students, scholars, and practitioners alike.

The latest emergence of increasingly low-cost and scalable AI technologies presents a point of both celebration and concern for the contemporary media and information ecosystem. To this end, this edited volume gathers media and communications scholars and practitioners to engage in discussions and exchange ideas about current trends and developments in the field. Questions this volume asks include: What are the essentials of generative AI from a media and communication perspective? How has generative AI influenced research and scholarship? …

Generative Ai And The Purpose Of Legal Scholarship, Michael L. Smith

Faculty Articles

What does generative artificial intelligence mean for the future of legal scholarship? The topic has been the talk of the town around academic watercoolers. Some legal scholars have tried their hand at producing legal scholarship using generative Al. The accompanying commentary is varied, but advocates for the technology suggest that generative Al may become a common tool for legal scholars, leaving those who refuse to adapt at a severe disadvantage.

In this article, I contemplate a world in which legal scholars routinely use generative Al to produce academic writing. I argue that an instrumental view of legal scholarship's value-a view …

Michael Scott Is Not A Juror: The Limits Of Ai In Simulating Human Judgment, Sean Harrington, Hayley Stillwell

Faculty Articles

Can AI replace human jurors? More specifically, can large language models predict how jurors interpret evidence and reach decisions based on legally salient facts and demographic characteristics? As legal scholars and practitioners increasingly explore AI-generated jury simulations, this Article offers the first empirical test of whether models like GPT-4, Claude, and Gemini can faithfully replicate juror reasoning. The answer, for now, is no. Across a series of mock trial scenarios involving redacted confessions, GPT- 4, Claude, and Gemini repeatedly failed to replicate how real jurors interpret evidence or exercise judgment. Their errors were not random, but systematic. Hidden prompts, built-in …