Digital Commons Network^™

Numerics: A .Net Library For Numerical Computing, Statistical Analysis, And Risk Assessment, C. Haden Smith, Woodrow L. Fields, Julian Gonzalez, Sadie Niblett, Brennan Beam, Brian Skahill

Mathematics and Statistics Faculty Publications and Presentations

Numerics is a free and open-source numerical computing library for .NET, developed by the U.S. Army Corps of Engineers Risk Management Center (USACE-RMC). The library provides 43 univariate probability distributions with L-moment and maximum likelihood parameter estimation, eight Markov Chain Monte Carlo (MCMC) samplers for Bayesian inference, bootstrap uncertainty quantification, bivariate copulas, optimization algorithms, and numerical methods for integration, differentiation, root finding, and linear algebra. Numerics targets engineers, scientists, and analysts working in infrastructure risk assessment, flood frequency analysis, and Monte Carlo simulation within .NET-based enterprise systems. The library supports .NET 8.0 through 10.0 and .NET Framework 4.8.1 and is …

Application Of Heron's Formula, Hidefumi Katsuura

Faculty Research, Scholarly, and Creative Activity

We apply Heron's formula to obtain a generalized Ptolemy's theorem, to prove Euler's formula for the volume of a tetrahedron, and to prove Klain's theorem on reversible tetrahedra. After that, we prove triangle inequalities derived from a tetrahedron, find an inequality on the circumradius of a tetrahedron, find a volume expression of an isosceles tetrahedron, and give a condition for four points in the space to be co-planar.

Legal Ethics Of Ai Snake Oil: Navigating The Hype, Harm, And Hope Of Legal Ai, Drew Simshaw

Scholarly Works

This paper argues that the legal ethics of AI extend far beyond competence and hallucinations. It shows how AI often functions as a mirror, exposing deeper ethical questions about institutional incentives, lawyer wellbeing, access to justice, and AI's broader social and environmental impacts.

Access To Digital Health Technologies: Personalized Framework And Global Perspectives, Sanjiv M Narayan, Mina K Chung, Demilade Adedinsewo, Luisa C C Brant, Leslie L Davis, David Duncker, Jennifer L Hall, Janet K Han, Carolyn S P Lam, Eldrin Lewis, Joseph Loscalzo, Manlio F Márquez, Vasiliki Rahimzadeh, Fatima Rodriguez, Prashanthan Sanders, Emma Svennberg, Kenneth Stein, Mintu Turakhia, Clyde Yancy, Antonis A Armoundas

Center for Medical Ethics and Health Policy Staff Publications

The emergence and rapid adoption of digital health technologies (DHT) present unprecedented opportunities to democratize and reduce disparities in health care by monitoring health and disease at the point of care in all patients. However, limited access to DHT is becoming a major obstacle to realizing these goals. Access to DHT is influenced not only by well-recognized social determinants of health, but also by digital determinants of health, such as digital literacy and the need for broad access to digital infrastructure, as well as commercial and economic factors. Addressing these challenges and designing unbiased systems of care are essential to …

An Empirical Framework For Evaluating Semantic Preservation Using Hugging Face, Nan Jia, Anita Raja, Raffi Khatchadourian

Publications and Research

As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate traditional software refactoring. We define semantic preservation in LESS as the property that optimizations of intelligent components do not alter the system's overall functional behavior. This paper introduces an empirical framework to evaluate semantic preservation in LESS by mining model evolution data from HuggingFace. We extract commit histories, $\textit{Model Cards}$, and performance metrics from a large number of models. To establish baselines, we conducted case studies in three …

All Games Have Equilibria, M. Ali Khan, Arthur Paul Pedersen, Maxwell B. Stinchcombe

Publications and Research

Research on Nash equilibrium existence for infinite games has grown into a patchwork of technical preconditions and counterexamples. This paper presents a unified program in equilibrium theory by revising the predominant model of mixed strategies based on countable additivity. A game is specified by a nonempty set of players and, for each player, a nonempty action set and a bounded von Neumann-Morgenstern utility function. Every such game is shown to admit a Nash equilibrium in finitely additive mixed strategies. In addition, the equilibrium correspondence for any such game is shown to be nonempty, compact-valued, and upper hemicontinuous, and the same …

Resilience For Whom? A Study In Pathways And Production Of Unequal Risk In The Rockaways, Aaryan M. Nair

Publications and Research

This paper investigates how climate adaptation policies in the Rockaway Peninsula of New York City produce unequal outcomes despite their ostensibly neutral design, framing resilience as an environmental and climate justice problem. Situated within a landscape marked by stark socioeconomic disparities, aging housing stock, and high exposure to coastal flooding, the study demonstrates that existing adaptation strategies—centered on uniform technical standards, insurance frameworks, and large-scale coastal infrastructure—systematically advantage actors with greater financial and institutional capacity while leaving low-income residents, particularly renters, disproportionately vulnerable.

The analysis identifies three core dynamics underlying this “unequal-by-design” resilience regime: (1) the stratified feasibility of compliance …

Pd-L1-Centric Whole Blood-Based Immune Signature Profiles Of Tuberculosis Patients During Therapy, Johanna Eggeling, Martina Sester, Christoph Lange, Jan Heyckendorf, Barbara Kalsdorf, Anna M Mandalakas, Andrew R Dinardo, David Lewinsohn, Dagmar Schaub, Tina Schmidt, Eva Tolosa, Maja Reimann, Patricia M Sánchez Carballo

Faculty, Staff and Students Publications

This prospective study investigated whole blood-based immune cell biomarkers for pulmonary tuberculosis (TB) immunoprofiling. Blood samples from 34 healthy controls and 51 tuberculosis patients were analyzed at three timepoints: Prior to therapy (T0), after 14 days of therapy (T1), and at the end of treatment (Te). Using multiparameter flow cytometry, 386 immune cell populations were analyzed. Predictive models were developed using two machine learning algorithms. A TB5LF change score, which was based on five cell populations, effectively distinguished tuberculosis patients from controls (AUC = 0.89) and tuberculosis patients before and at the end of treatment (AUC = 0.92). Similarly, the …

Unraveling Posttranslational Modification Complexity: Advances In Quantitative Histone Proteoform Mass Spectrometry, Karl F Poncha, Alyssa T Paparella, Nicolas L Young

Faculty, Staff and Students Publications

Histone proteins and their posttranslational modifications are central to chromatin structure and function. These modifications often occur in combinations, generating a diverse array of histone proteoforms that contribute to the dynamic regulation of chromatin architecture. Advancements in mass spectrometry-based proteomics, particularly top-down and middle-down approaches, have significantly enhanced our ability to characterize these proteoforms and elucidate PTM crosstalk. This review provides an analysis of the epigenetic machinery involved in the addition, recognition, and removal of histone PTMs, emphasizing the complexity introduced by histone variants and combinatorial PTM patterns. We examine the challenges and limitations of traditional antibody-based methods for PTM …

Evolving Burden Of Metabolic Dysfunction-Associated Steatotic Liver Disease And Its Complications In A Us Nationwide Healthcare System, Basim Ali, Ronald Samuel, Jennifer R Kramer, Liang Li, Xian Yu, Yumei Cao, Roxanne Desiderio, George Cholankeril, Steven M Asch, Hashem B El-Serag, Fasiha Kanwal

Faculty, Staff and Students Publications

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing public health problem. Measuring the burden of cirrhosis and its complications in people with MASLD is important to inform health care delivery.

Methods: We aimed to quantify the changes in the burden of MASLD-related cirrhosis and hepatocellular carcinoma (HCC) in a nationwide U.S. healthcare system. We used data from the Veterans Health Administration to examine temporal trends between 2010 and 2021 in the annual incidence and prevalence of cirrhosis and HCC in a large cohort of patients with MASLD, and to compare them to those in patients with hepatitis C …

Highly Variable Expressivity Of A Cnv Deletion Involving Tbx4 In Three Deceased Siblings With Lung Developmental Disorder And Their Mildly Affected Mother And Grandfather, Przemyslaw Szafranski, Tomasz Gambin, Michal Kadlof, Michał Denkiewicz, Dariusz Plewczynski, Hyun Jeong Kim, Gail Deutsch, Nahir Cortes-Santiago, Salmo Raskin, Paweł Stankiewicz

Faculty, Staff and Students Publications

Single nucleotide variants (SNVs) and copy-number variant (CNV) deletions involving TBX4 have been associated with pulmonary arterial hypertension, ischiocoxopodopatellar syndrome, and lethal lung developmental disorders (LLDDs). Thus far, all large CNV deletions encompassing entire TBX4 have been found to have arisen de novo. Here, we present a three-generation family with three neonate siblings who died within 35-66 days due to histopathologically diagnosed LLDD. Whole-genome sequencing identified an ~108-kb CNV deletion encompassing TBX4 in all three infants. The deletion was also found in their mother with a history of pneumonia and persistent thick upper airway secretions and in the maternal grandfather …

Quantifying Uncertainty In Landscape Evolution And Provenance Analysis: Insights From Statistical And Numerical Modelling, Vivian Carmello Grom

LSU Doctoral Dissertations

Landscape evolution models (LEMs) and detrital zircon provenance are widely used to investigate Earth surface processes, yet both face challenges related to quantifying model behavior and interpreting sedimentary signals under realistic, heterogeneous conditions. This thesis addresses these challenges through analysis and case studies that develop and apply new approaches for analyzing landscape dynamics and assessing uncertainties in sediment provenance.

Chapter 1 introduces a quantitative framework for evaluating LEM outputs using Shannon Entropy, Moran’s I, and Geary’s C. Applied to simulations with steady uplift, periodic uplift, spatially variable uplift, and a timeseries of DEMs, these metrics capture spatial organization and information …

Organizational Causes Of Chronic Absenteeism: Unpacking The Conditions For Learning To Increase Regular Attendance, Melissa Glover

Educational Leadership Professional Doctorate Dissertations

This study employed an improvement science methodology, using plan-do-study-act (PDSA) cycles of improvement, to address the persistent problem of chronic absenteeism within the Gateway School District, where annual absentee rates hovered around 45% and were historically 10% higher for students with disabilities compared to their nondisabled peers. The leadership team engaged in a thorough review of parent and student perceptions of school and aligned findings with Chang’s (2019) conditions for learning framework to pinpoint actionable areas for growth. These findings were then organized into a theory of action using a driver diagram approach. This foundational work led to the identification …

Improving Compliance With Safe Sleep Guidelines For Vulnerable Patients In A Community Safety Net Hospital Neonatal Intensive Care Unit, Andrew Beverstock, Samantha Carlton, Hillary Lee, Thomas Lu, Kelsi Morgan, Ashlee Smith-Patel, Kelli Phillips, Joseph Hagan, Pablo Lohmann, Caraciolo Fernandes, Lisa Owens, Daniela Dinu

Faculty, Staff and Students Publications

Objectives: Congenital diaphragmatic hernia (CDH) often coexists with fetal growth restriction (FGR). The observed-to-expected (O/E) total fetal lung volume (TFLV) is used to assess CDH severity, predict outcomes, and direct fetal interventions. Expected TFLV measurements traditionally rely only on gestation age (GA). This simulation assesses how incorporating weight-adjusted GA norms affects O/E TFLV calculations in patients with isolated CDH and FGR.

Methods: A simulated dataset (n=1,005) utilized published mean fetal weight and TFLV references. Computer-generated variables included observed weights (3rd-10th %ile), O/E TFLV (10-65 %), and percent liver herniation (0-42 %). GA estimates were corrected by weight and used to …

Modern Research Tools Supporting Science At Andrews University, Peter Lyons, Henry Navarro

Faculty Publications

No abstract provided.

Pattern-Aware Graph Neural Networks For Handling Missing Data, Minett Tran, Taehee Jeong

Faculty Research, Scholarly, and Creative Activity

Missing data is ubiquitous in real-world datasets. Traditional methods either discard incomplete samples or apply imputation techniques that ignore potentially informative missingness patterns, implicitly assuming that missingness occurs randomly. However, missingness patterns might provide additional information. We propose pattern-aware graph neural networks that explicitly encode which features are missing alongside observed values. We used four encoding strategies-learned embeddings, frozen random embeddings, statistical features, and hierarchical representations-across seven UCI datasets with naturally occurring missingness. Our Pattern-aware methods achieve substantial improvements over baselines, with an average improvement of 17% in balanced accuracy and 22% in F1-macro across all datasets. Our code and …

Key To Spartina Of The West Coast Based On Vegetative Characteristics, Mary Pfauth, Mark D. Sytsma, Mitchell Kloer, Jennifer Riddle, Jacob Rose, Gabriel E. Campbell

Center for Lakes and Reservoirs Publications and Presentations

In their natural condition, Pacific Coast estuaries have extensive open mudflats in the intertidal area that are important shorebird feeding habitat and are used for oystering and recreational fishing. Several non-native cordgrass species are invading Pacific estuaries and damaging these functions and uses. Early detection is critical to effective management of cordgrass infestation. This key is intended to provide an easy-to-use reference for quick identification of Spartina (synonym: Sporobolus) species on the Pacific coast. We choose to focus on vegetative characteristics here, since flowers are not always visible when it can be advantageous to survey.

This publication is intended to …

The Energy Change Of Graphs Under Some Edges Deletions, Huan Lei Shi, Wen Huan Wang, Wasin So

Faculty Research, Scholarly, and Creative Activity

The energy ε(G) of a graph G is the sum of the absolute values of all the eigenvalues of its adjacency matrix. Gutman (2001) pointed out a problem to characterize the graph G and the edge e of G such that ε(G − e) ⩽ ε(G). Tang et al. (2023) gave a sufficient condition for ε(G − e) ⩽ ε(G), where e is not necessarily a cut-edge set or a cut edge. We deduce here a stronger conclusion than the results obtained by Tang et al. (2023). Our findings cover some known conclusions, such as the results obtained by Gutman …

Inferential Statistics For Industrial Organizational Psychologists: A Practical Guide For Testing Hypotheses Using R, Caitlin Lapine

Open Touro Created

2026

This text aims to provide a practical guide for students in industrial organizational psychology or related fields to complete inferential statistics using R open-source programming language. It provides information about when to use particular statistical analyses and how to perform those with statistical software.

Stem Identities Of Iowa State University's Biological And Biomanufacturing Systems Technology Students, Levi Nettleton

Dissertations and Theses @ UNI

STEM identity plays a crucial role in students' pursuit and persistence into the STEM field. Iowa State University's Biological and Biomanufacturing Systems Technology (BBST) undergraduate program, developed in alignment with the goals of Chemurgy 2.0, prepares students for careers in the growing STEM workforce. The purpose of this study is to examine how participation in the Biological and Biomanufacturing Systems Technology program influences undergraduate students' STEM identity and how students within the program perceive themselves within the scope of STEM. Specifically, the study investigates students' perceptions of their STEM identity across the four components of STEM identity: recognition, performance and …

A Method For Determining A True National Statistical Distribution Of Building Element U-Values And Its Application To A Dataset Underpinning A Building Stock Energy Model, C. Ahern, Bernard Enright, A. Griffin, B. Norton

Research Outputs: 2025-Present

The presence of default U-values in Energy Performance Certificate (EPC) databases disrupts the natural variability in measured U-value distributions. Default values, often used by assessors when empirical data is unavailable, introduce deterministic artefacts into datasets, creating artificial peaks that obscure underlying statistical patterns. This study examines the impact of these default values and identifies appropriate statistical models – Lognormal, Gamma and Normal – for measured U-values in Ireland’s national EPC dataset, comprising 463,582 dwellings. Lognormal and Gamma distributions aligned better with the central peaks, while the Normal distribution more accurately captured the tails. Although no single distribution perfectly fits the …

Water-Efficient Concrete Curing Using Sap-Infused Nonwoven Blankets: Material Screening And Performance Evaluation, Feras Kafiah, Omar K. Omar, Dr Hani Alkhatib

Research Outputs: 2025-Present

Concrete curing under hot-weather exposure requires sustained surface moisture while minimizing repeated waterapplication. This study develops and evaluates a two-layer external curing blanket comprising a polyethylene (PE) top sheetand a superabsorbent polymer (SAP)-infused needle-punched nonwoven polyester layer. Ten PE sheets, three sodiumpolyacrylate SAP grades, and three nonwoven fabrics were screened sequentially according to optical transmittance, SAPmorphology and absorption behavior, fabric absorptivity, SAP-fiber integration, and qualitative seven-day surface-wetnessobservations. The selected configuration (S7 PE/SAP 3/GT-80) was then demonstrated using a 1 × 2 m2 outdoor prototypeand compared with conventional wet burlap curing. The blanket-cured concrete produced a numerical mean core strengthof 36.5 …

The Effectiveness Of 3d Printing Project-Based Learning In Developing Future Skills And Academic Passion Among 10th Grade Students In Physics, Asma Abdullah Alshabnuti, Salim Khamis Al Harmali, Sulaiman Mohammed Al-Balushi

Journal of Educational and Psychological Studies

The study aimed to explore the effectiveness of 3D Printing Project-based Learning in developing future skills, according to the Omani Future Skills Framework, and academic passion among 10th-grade students in physics in the Sultanate of Oman. A quasi-experimental research design was used, with a control and experimental group. The sample consisted of (114) male and female students. The Study instruments were the Future Skills Classroom Observation and the Academic Passion Scale, to gather data. Findings showed statistically significant differences in favor of the experimental group in most of future skills, except in flexibility and adaptation skill. The effect size of …

Development And Evaluation Of A Gc-Msms Method For The Quantification Of Gamma Hydroxybutyrate In Hair, Jacob Robert Keller

Theses: Doctorates and Masters

Gamma (γ)-hydroxybutyrate (GHB) is an endogenous short-chain fatty acid, and is of forensic importance due to its use in drug facilitated sexual assault (DFSA). Exogenous GHB has a limited window of detection in blood (1-hour) and urine (12-hours). Testing hair allows detection of drugs months after ingestion. This thesis contains a literature review which compares published methods which determine concentration of endogenous GHB in hair to determine which procedures are suitable for experimental comparison. The aims of this thesis were to develop a GC-MS-based method for the detection of GHB, test various methods to improve extraction, determine linearity, precision, accuracy, …

Proof Techniques In Analysis, Francis Antwi Frimpong

Graduate Research Papers

No abstract provided.

Entre Dos Mundos: A First-Generation Cuban American's Journey Through Identity And Memory, Alessandra M. Gonzalez

Graduate Studies Theses and Dissertations 2026

ENTRE DOS MUNDOS (translated as “between two worlds”) explores the complexities of growing up as the eldest daughter in a Cuban American immigrant family and the tensions of navigating life between cultures. Set in Miami, the collection blends lyrical and prose poetry to examine cultural identity, diaspora, intergenerational memory, and the emotional landscape of young adulthood. Through personal narrative and historical context, ENTRE DOS MUNDOS traces the speaker’s coming-of-age amid the inherited stories of her family’s escape from Cuba and the lingering effects of displacement. The section “Yo” focuses on the psychological challenges of adolescence and early adulthood, reflecting on …

Exploring The Temporal Dynamics Of Gaming-The-System And Self-Regulated Learning Behaviors Within A Game-Based Learning Environment, Cameron E. Marano

Graduate Studies Theses and Dissertations 2026

Consistently monitoring and regulating cognitive and metacognitive skills during learning is difficult. As a result, game-based learning environments (GBLEs) have been designed to provide richer learning experiences. They foster self-regulated learning (SRL) skills and offer a way to study learners' interactions within complex environments. Although SRL in GBLEs has been widely studied, large gaps remain. For example, it is unclear how improper or maladaptive regulation in GBLEs signals gaming-the-system, in which learners manipulate features to avoid authentic learning. This phenomenon is widely studied in intelligent tutoring systems (ITSs). Limited research has examined how and when both gaming-the-system and SRL behaviors …

Investigating Effects Of The Macroalga Caulerpa Prolifera On Restoration Of The Seagrass Halodule Wrightii In The Indian River Lagoon, Florida, Luciana M. Banquero

Graduate Studies Theses and Dissertations 2026

Seagrass restoration efforts have been motivated by global decreases in coverage associated with anthropogenic influences on the environment. In the Indian River Lagoon (IRL), FL, seagrass declined by 75% between 2011 and 2021. During this time, abundance of the macroalga Caulerpa prolifera increased substantially in the IRL. The macroalga is native to this estuary, however C. prolifera abundance has fluctuated widely in the past few decades. Being highly opportunistic, C. prolifera took advantage of areas formerly inhabited by seagrass. It is not known how dense, continuous beds of C. prolifera impact seagrass restoration projects or natural recovery of seagrass. Previous …

Using Inferences From Natural Language Narratives To Improve Video Question Answering, Hoang Bao Truong

Graduate Studies Theses and Dissertations 2026

The purpose of this thesis is to examine how structured narrative representation and reasoning strategies jointly affect the performance of Video Question Answering (VideoQA). Although recent advances in large multimodal and language models have improved video description and retrieval, causal and counterfactual reasoning remain challenging. This thesis studies an inference-only pipeline in which videos are converted into natural-language narratives, and those narratives may optionally be transformed into a structured NarrativeML format before multiple-choice questions are answered without task-specific fine-tuning. NarrativeML is a machine-readable narrative representation that explicitly encodes entities, events, and their causal and temporal relations. Three representational contexts are …

Machine Learning Acceleration Of Micro-Credentialing, Knowledge Gap Remediation, And Micro-Recruiting Of Stem Assessments: From Learner Data To Hardware, Paul Amoruso

Graduate Studies Theses and Dissertations 2026

The growing demand for a skilled STEM workforce calls for adaptive, data-driven education that personalizes learning while aligning competencies with industry needs. This work introduces a multi-layered framework that integrates artificial intelligence (AI), data mining and hardware-aware optimization to support this goal. At its core, the AchieveUp system applies generative AI-assisted skill tagging to digitized assessments, enabling multi-semester tracking of student progress. Analysis across 14 semesters shows that underperforming students were found to benefit most from attending score clarification sessions, a relationship validated by an R² value of 0.83, indicating strong predictive validity between attendance and skill acquisition. To remediate …