Digital Commons Network^™

Examining Curriculum Alignment: Utah Core Mathematics Standards And The Mathematics Vision Project/Open Up Resources, Jennifer Suzanne Young

Theses and Dissertations

This study examined the alignment between the Utah Core Mathematics Standards (UCMS) and the Mathematics Vision Project/Open Up Resources (MVPOUR) curriculum for Secondary Mathematics I, II, and III, as well as the proportion of Utah secondary students potentially exposed to that alignment through district-level curriculum approval. Using a qualitative comparative case study design, UCMS were systematically compared to MVPOUR topic foci to identify horizontal alignment (standards addressed within the intended course), vertical alignment (standards addressed across courses), combined horizontal and vertical alignment, or lack of alignment. Alignment data were recorded using a spreadsheet-based content analysis and independently coded to support …

Ole Miss Center Selects Inaugural Stem Teacher Leaders In Mississippi, Clara Turnage

University of Mississippi News

OXFORD, Miss. – The Mississippi STEM Education Alliance has selected 16 teachers from across the state to serve as the inaugural members of the National STEM Teacher Corps Pilot Program, an effort to improve science, technology, engineering and math education.

Stop Blaming My Users: Illumination Of The Technocentric Mythos Bias, Ervin H. Frenzel, Richard Lightcap

Journal of Cybersecurity Education, Research and Practice

 Abstract -This conceptual essay addresses the need for systemic and systematic transdisciplinary analytical techniques within cybersecurity and technical security. This conceptual essay is contingent upon recognition that cybersecurity is not simply technical in nature, it does not need an adversary, and more importantly it is based upon systems engineering and systems thinking.  The essay contributes a socio-technical attribution chain and field-specific ontology/taxonomy which distinguish user-triggered events from root causes, latent conditions, technical debt, validation failures, governance failures, and attribution bias before assigning responsibility to end users. It systematically defines an ontology inclusive of developer technical debt, organizational debt arising from …

Integrated Construction Risk Assessment Framework, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

An integrated risk assessment architecture for construction projects synthesizes data governance, BIM, Digital Twins, and hybrid analytics into a continuous feedback loop that links sensing, semantic modelling, probabilistic simulation, and organizational learning. The framework distinguishes aleatory from cognitive uncertainty and prescribes layered methods: Monte Carlo and Bayesian updating for measurable variability; fuzzy inference and consensus aggregation for linguistic and expert judgements; and graph-based discovery for dynamic cyber-physical topologies represented as time-varying graphs 𝐺𝑡. Governance primitives, aligned with ISO 19650, enforce provenance, interoperability, and staged readiness thresholds that prevent premature prescriptive outputs until model convergence criteria are met. BIM and GIS …

Biographex: Multi-Level Explainability In Graph Neural Networks For Trustworthy Biomedical Ai, Muhammad Talha Sajid, Ahmad Kamran Malik, Nafees Qamar, Hasnian Abudullah, Aleem Ahmad

Biological and Biomedical Sciences Department Faculty Journal Articles

In biomedical research and clinical practices, Graph Neural Networks (GNNs) are playing an increasingly important role and have been applied to the problems of disease pathway detection, gene–disease relation prediction, etc. They show great potential for biomedical predictions; however, there are interpretability issues when used on complex datasets like gene expression data. Current explainability methods such as GNNExplainer are designed to explain individual instances, not the whole network. The absence of transparency hinders trust and limits the clinical/biomedical implementation of GNNs. Additionally, more interpretable models like GNN-SubNet and XGDAG do not fulfill the expectation of a clear picture for the …

Escaping The Cyberstorm: A Gamified Social Engineering Training Program, Noah Mcclanahan, Fadi Abu-Amara, Ali Khattab, Travis Jett, Andre Jackson

Journal of Cybersecurity Education, Research and Practice

In this research work, we explored the effectiveness of gamification in improving cybersecurity awareness and training users on targeted social engineering attacks. Traditional cybersecurity training focuses on lectures and videos. These training methods may not actively engage employees, which reduces their knowledge retention and ability to recognize social engineering attacks. This lack of involvement is a concern, as social engineering continues to be one of the most prevalent attack methods faced by end-users. A gamified training program, Escaping the Cyberstorm, was developed using the Godot game engine to address key challenges in spreading cybersecurity awareness. The game includes real-life …

Artificial Intelligence Mechanisms In The Limit Of Crimes And Law Enforcement, Saad Mefleh Alsuwaileh

Journal of Police and Legal Sciences

This study explores the potential of employing technological mechanisms and modern innovations brought about by the Fourth Industrial Revolution, particularly advancements in the field of information technology, in the domains of criminal investigation, crime prevention, and law enforcement. It aims to analyze the impact of these technologies on crime control efforts and the promotion of justice.

The significance of the study lies in highlighting the power of technology in processing and analyzing massive volumes of data with greater speed and accuracy, thereby enhancing the efficiency of criminal investigations and the ability to predict and prevent crimes. The core research question …

Applying Artificial Intelligence Within Decision Support Systems And Its Role In Improving Proactive Thinking And Reducing Security Threats: The Mediating Role Of Data Quality, Hany Shaaban El Anany

Journal of Police and Legal Sciences

The study aimed to identify the impact of applying artificial intelligence within decision support systems in improving the level of proactive thinking and reducing security threats in government institutions in the Arab Republic of Egypt, as well as to examine the mediating role of data quality in this relationship, at a significance level of (α ≤ 0.05). The study sample consisted of (360) participants working in the departments of information technology, decision support, and cybersecurity within government institutions and national authorities that rely on AI-enhanced decision support systems.

The study adopted the descriptive analytical method and used a questionnaire as …

Investigating Learning In Immersive Virtual Reality, Andrew Negrette

Master's Theses

Students often struggle with learning challenging subjects throughout their education. This also tends to lead to lower enjoyment and science self-efficacy for learning. Some subjects may be better represented in 3-dimensional spaces utilizing immersive virtual reality (IVR). Recently, IVR headsets have become more accessible and affordable and therefore are in wider use. The purpose of this study was to investigate whether differences in science selfefficacy, enjoyment, presence and knowledge retention exist between IVR and controls on an ocean acidification lesson. I predicted that participants taking the lesson in IVR would score higher compared to a laptop on all measures, due …

Spatial Heterogeneity And Temporal Trends Of California Extreme Heat Using High-Resolution Earth System Model Simulations, Eleni Konstantelos

Master's Theses

Extreme heat threatens California’s diverse landscapes and populations through intensifying and geographically shifting patterns. This study examined the temporal trend and spatial heterogeneities of California’s extreme heat for 1994–2015. The analysis was based on the fully coupled Energy Exascale Earth System Model version 2 (E3SMv2), specifically its 25-km regionally refined configuration. While the Desert/Inland region exhibited the highest number of days ≥ 35 °C and the highest heatwave severity, Central Valley showed the fastest increase in the number of days ≥ 35 °C and heatwave events, as well as the fastest increases of days exceeding various heat index thresholds over …

Match Made In Ml: Developing Compatibility Relationships In Evidential Reasoning Approaches With Machine Learning, Ella Jolie Thomas

Master's Theses

The presented expectation maximization informed evidential reasoning model extends the ability of the evidential reasoning calculus to support decision making by integrating an adaptive model learning capability. Compatibility relationships in Evidential Reasoning models are traditionally built by human domain experts. This process is labor-intensive, especially for large and complex models. Additionally, when new data becomes available, compatibility relationships must be reconstructed. Using machine learning and the expectation maximization algorithm, it is demonstrated that compatibility relationships can be constructed that learn relationships between domain knowledge that is used to make decisions. Using drug development as a domain of application, a traditional …

Superresolution Spectroscopy Of Atomically Thin Semiconductors And Moiré Heterostructures, Chien-Chu (Charity) Wei

Master's Theses

Atomically thin semiconductors and moir’e heterostructures provide an important platform for studying quantum phenomena shaped by reduced dimensionality, interlayer coupling, strain, and local structure. In MoS2, the transition from bulk to monolayer form changes the material from an indirect to a direct band gap, while stacked and strain-engineered systems can produce spatially varying moir’e potentials on nanometer length scales. Because these effects are highly localized, conventional far-field optical spectroscopy is often limited in its ability to resolve them directly. This thesis explores superresolution vibrational spectroscopy as a route toward probing local behavior in atomically thin semiconductors and moir’e heterostructures. Far-field …

The Zeal Instruction Set Architecture, Joseph A. Gerani

Master's Theses

The Instruction Set Architecture of a CPU (Central Processing Unit) determines what type of instructions the CPU is able to understand, how those instructions are encoded, and what it should output upon receiving those instructions as input. There are currently three popular ISAs meant for the consumer market: x86, RISC-V, and ARM, as well as a fourth that mostly now exists in the server market by the name of Power. One of the most important parts of an ISA is for engineers to be able to understand it and make use of it. If an ISA is too complicated, nobody …

Impacts Of Physical Extremes On The Reproductive Output And Dispersal Of Stephanocystis Osmundacea, Jessica J. Franks

Master's Theses

Population replenishment is vital for species survival and depends on reproductive output and recruitment success. Many marine organisms rely on both short- and long-distance dispersal to sustain and expand their populations. Marine dispersal involves microscopic or planktonic stages that are influenced by currents, physical processes, and biological traits such as planktonic duration and sinking behavior. Depth and light gradients affect primary producer growth, impacting reproduction, especially in morphologically plastic seaweeds. This study examined how depth-related factors influence reproductive morphology, reproductive output, and dispersal of the subtidal brown seaweed Stephanocystis osmundacea in central California. Using field, lab, and computational methods, depth-driven …

Error-Tolerant Metric Dimension, Leander Ten Hoff

Master's Theses

Metric dimension is a graph parameter that measures the smallest distance-based unique coordinate system on a graph. Fault-tolerant metric dimension is a variant that requires redundancy. Inspired by this idea, we propose and investigate a new variant we call error-tolerant metric dimension. We first prove some fundamental results to gain familiarity with this more complex variant. Then, we use these tools to study relative behaviors of error-tolerant metric dimension. We prove explicit computations for simple graph families, including bipartite complete graphs and paths. Finally, we extend extremal results from previous papers on metric dimension, including a full correction of an …

The Characterization Of Bridging Waters And Ions In Protein-Rna Complexes, Leslie Duong

Master's Theses

Here we explore the role of bridging waters and ions in protein-RNA complexes. From an initial set of 33 high-resolution X-ray crystal structures, 17 were identified such that protein-RNA complex and component protein and RNA chains were found within 1 pH unit as indicated by crystallization conditions and their diffraction temperatures meeting one of two ranges: above or below freezing. To define an even more realistic set, 12 unbound-unbound and unbound-pseudo-unbound complexes from the 17-set were studied, showing the large fraction of complexes indicating more protein and RNA water hydrogen bonding in their actual interfacial regions as opposed to those …

The Relationship Between Foliations Of The Plane, Kaplan Diagrams, And Non-Hausdorff 1-Manifolds, Monique Justine Howe

Master's Theses

In this paper we seek to explain the relationship between foliations of the plane, Kaplan diagrams, and simply connected non-Hausdorff 1-manifolds with countable basis that are orientable with an ordering on branch points. We will walk the reader through the definitions of all of these objects, and provide examples with a focus on the motivating example of the Reeb foliation. This paper will describe and define the known bijection from the set of foliations of the plane, F, to the set of Kaplan diagrams, K, its inverse, and the one-to-one map from F to the set of simply connected non-Hausdorff …

Accessibility Fairness Practices In Ai Applications For People With Disabilities, Megan Gross

Master's Theses

Advancements in artificial intelligence (AI) improve the lives of people every day with tools like the auto-captioning of videos, improved screen-reader capabilities, and advanced mobility control through speech. However, are all groups of people benefiting from AI or are some being overlooked and left out? Although AI tools made for people with disabilities (PWDs) have improved their lives, AI for the general population generally ignores the experiences of PWDs, making them unable to interact with and benefit from technology. This research evaluates ChatGPT and Gemini in Gmail for usability fairness and analyzes how current regulations and development processes fail to …

Diagrammatic Methods For Calculating Correlation Functions In Low-Dimensional Quantum Gravity, Nicholas A. Parrilla

Master's Theses

This thesis investigates connections between random matrix theory and low-dimensional quantum gravity through the spectral form factor (SFF), a well-studied function that characterizes correlations in the eigenvalue spectrum of an operator. In random matrix ensembles, a feature of the SFF known as the “ramp” is governed by universal spectral correlations, and in Jackiw–Teitelboim (JT) gravity this regime is due to the double-trumpet wormhole geometry. We study the connected correlation functions underlying the SFF using combinatorial, diagrammatic methods from a mathematical formalism known as second-order free probability theory, where they are expressed in terms of annular noncrossing permutations. To access a …

Rewriting The Calculus 3 Workshop At San José State University, Moorea Lippert

Master's Theses

Calculus 3 at San José State University is a very important course for any student pursuing a STEM degree. However, the course is very challenging, so the university offers a supplemental workshop course for Calculus 3 students. Unfortunately, this workshop has not aligned with modern research in math education. This thesis documents efforts to recreate the workshop to better align with this modern research.

Hydrus Modeling Of A Sahelian Agroforestry System: An Investigation Of Local Water Balance, Nicole A. Butler

Master's Theses

Effects of drought can devastate agricultural productivity in the West African Sahel. Climate complexities, such as lower-than-average rainfall and high winds, can lead to crop failure and low yields, thereby creating food security issues. Agriculture in the Sahel is primarily rainfed, and the rain is becoming increasingly unpredictable due to the changing climate. The method of intercropping groundnut (Arachis hypogea) and pearl millet (Pennisetum glaucum) with the shrub species Piliostigma reticulatum can combat the effects of climate change and restore degraded soil. Intercropping can increase water availability and crop yield when compared to crops grown in the absence of shrubs. …

Pipeline Optimization Of Agentic Llms For Text-To-Sql, Peter Conant

Master's Theses

Current database interfaces limit users’ interaction to those with technical skills, creating timely roadblocks for non-technical professionals. Text-to-SQL aims to simplify database interactions by translating natural language questions into database queries, but long-standing challenges like question understanding, question-schema linking, and SQL generation have held the field back. In the AI era, foundational LLMs prove to be very capable of question understanding SQL, perform well in Schema Linking, Generation, and Evaluation tasks. However the cost to run these model is a hurdle for many organization with low funds and resources. Text-to-SQL solutions often operate across large enterprise size databases with, and …

Monoids With K-Strictly Local Geodesic Languages, William M. Hong

Master's Theses

A paper by Gilman, Hermiller, Holt and Rees (2011) prove that a group G finitely generated by X is virtually free if and only if the language of geodesics words in G over X is k-strictly local if and only if the word problem is context-free. If M is a monoid finitely generated by X, we define Γu(M,X) to be the underlying, undirected graph of Γ(M,X). We prove that if the language of geodesics in Γu(M,X) based at the identity is k-strictly local, then the monoid and semi-group word problems are context-free.

Teachers' Perspectives: Literacy Recommendations For Newcomers With Limited Language Proficiency, Rachel Edmunds

Theses and Dissertations

Although multilingual literacy instruction has expanded in recent years, less is known about how teachers can support newcomers with limited language proficiency in Grades 4-6. This gap is significant as many teachers report feeling underprepared to meet the needs of their multilingual learners, especially those with limited language proficiency. The purpose of this qualitative study was to explore the literacy practices and strategies that teachers found effective when working with students who are multilingual newcomers with limited language proficiency (NLLPs) in Spanish and English in Grades 4-6 along with their implementation experiences. Drawing from Vygotsky's sociocultural theory, this qualitative study …

Establishing E-Prodeskel, An Integrated Village Information System For The Empowerment Of The Local Community In Kediri, Ani Budi Astuti, Eni Sumarminingsih, Wayan Firdaus Mahmudy, Maulina Pia Wulandari, Wigbertus Ngabu, Nur Kamilah Sa'diyah, Gusti Ayu Putu Rawi Rotchildi, Izza Lailatul Kasanah, Yusuf Gladiensyah Bihanda, Akbar Satya Nugraha

ASEAN Journal of Community Engagement

Digital transformation has become an important strategy for strengthening community empowerment by improving access to public information, governance transparency, and village services. However, many rural communities in Indonesia still face challenges in managing accurate village profile data and utilizing digital technologies to support good governance and sustainable development. This study examines a community engagement program in Purwokerto Village, Kediri Regency, Indonesia. The program intended to develop and implement E-ProDesKel (Elektronik Profil Desa Kelurahan or Electronic Village and Wards Profile), a web-based portal for an integrated village profile information system. The program adopted a participatory approach starting from an assessment …

Fermat's Last Theorem Over Quadratic Number Fields, Richie Tay

Master's Theses

Fermat’s Last Theorem states that the equation xn + yn = zn has no nontrivial integer solutions for n ≥ 3. While the rational case is completely solved, the situation over quadratic number fields is not as straightforward. For some exponents nontrivial solutions exist, while for others they do not. This thesis studies Fermat-type equations over quadratic number fields, combining classical methods with more modern techniques from the theory of elliptic curves. The thesis first reviews the rational cases n = 2, n = 3, n = 4, then develops the necessary background on quadratic number fields, including rings of …

Math 141 Calculus I (Queens College), Anisha Clarke

Open Educational Resources

This syllabus provides the outline for a calculus one course using OpenStax Calculus Volume I and no graphing calculator.

Genetic Associations With Pulmonary Embolism Among Those With A Deep Vein Thrombosis: The International Network Against Venous Thrombosis Consortium, Susana Lozano-Esparza, Gabrielle E Shakt, Jennifer A Brody, Angel Martinez-Perez, Matthew P Conomos, Marine Germain, Katharine R Clapham, Maris Teder-Laving, Astrid Van Hylckama Vlieg, Anni Kauko, Florian Thibord, Ohanna C L Bezerra, Girish N Nadkarni, Gaëlle Munsch, Therese Haugdahl Nøst, Ellen L Goode, Yuekai Ji, Daniel I Chasman, Alexander P Reiner, Constance Turman, Kerri L Wiggins, Colleen M Sitlani, Juan Carlos Souto, Pamela L Lutsey, Tiffany Bellomo, Estonian Biobank, Million Veteran Program, Ruifang Li-Gao, Aleksi Kristian Winstén, Ming-Huei Chen, Ron Do, Lénaick Gourhant, Kristian Hveem, Sebastian M Armasu, Noémie Saut, Nathan Pankratz, Franco Giulianini, Jeffrey Haessler, Mingyang Song, Robert Olaso, Eric Boerwinkle, Daniel Dochtermann, Jose Manuel Soria, Stephen S Rich, David Smadja, Satoshi Koyama, Frits R Rosendaal, Teemu Niiranen, France Gagnon, Ha My T Vy, Neil Zakai, Catherine Lemarie, Anne Heidi Skogholt, Jean-François Deleuze, James S Pankow, Paul M Ridker, Yuxi Liu, Kenneth M Rice, Saiju Pyarajan, Mary Cushman, Jospeh Emmerich, Bruce M Psaty, Pradeep Natarajan, Andrew D Johnson, Marc A Rodger, Pierre Suchon, Francis Couturaud, Pierre-Emmanuel Morange, Weihong Tang, Charles Kooperberg, Christopher Kabrhel, Maria Sabater-Lleal, David-Alexandre Trégouët, Alisa S Wolberg, Scott M Damrauer, Nicholas L Smith

Children’s Nutrition Research Center Staff Publications

Background: Venous thromboembolism (VTE) includes deep vein thrombosis (DVT) and pulmonary embolism (PE), the latter of which often originates from DVT and can be fatal.

Objectives: The aim of this study was to identify causal genetic factors that alter risk of PE among those with a presumed DVT.

Methods: Using a case-only design of VTE, we conducted meta-analyses of genome-wide association studies (GWASs) in the International Network Against Venous Thrombosis Consortium. Among participants diagnosed with VTE, each study identified those who had a clinically reported PE, with or without a clinically reported DVT; those remaining had isolated DVT. Logistic regression …

Selected California State University Cybersecurity Readiness Policies And Related Guidance For Staff: A Qualitative Document Analysis, Andrew Hung-Nguyen

Dissertations

This study examines the cybersecurity and data privacy policy guiding the staff in the following four California State University campuses: Long Beach, San Bernardino, Chico, and Northridge. The purpose is to evaluate how institutional policies communicate expectations for staff and support cybersecurity readiness. Using a qualitative document analysis approach, the study analyzes publicly available policy documents as primary data sources. The analysis is guided by three frameworks, as follows: Weidman’s framework (2018), which assesses the presence of key policy elements; Karakoç’s framework (2022), which evaluates the depth of policy content; and the Flesch Reading Ease and Flesch-Kincaid Grade Level formulas …

Examining Beliefs Of State Department Of Education Directors Of Assessment Regarding Standardized Testing, Sara L. Kendallen

Dissertations

Directors of assessment in state departments of education are tasked with the planning and oversight, including development, field-testing, validation, and operationalization of statewide assessments. At the state level, directors of assessment are pivotal to a department of education’s ability to meet state and federal testing requirements. Directors of assessment hold their own opinions and beliefs, which may or may not be aligned with current adopted policies. The beliefs of those in state level educational bureaucracies about standardized testing has not been well-researched. It is hoped that this research will add to the greater understanding of statewide assessment. The goal of …