Digital Commons Network^™

Identifying Industry-Preferred Automation Software In Engineering: An Indeed-Based Analysis To Inform Engineering Technology Curriculum Design, Triet Minh Phan, Collins Okafor, Winifred Okafor, Devang Mehta, Mohsen Souissi, Jenora Waterman, Connie Mayberry, Misty Thomas, Orlando Ayala, Angie Price, Maurizio Manzo

Engineering Technology Faculty Publications

In the evolving field of automation engineering, staying aligned with industry software demands is critical to preparing graduates for the modern workforce. This study investigates the prevalence of leading industrial automation platforms—Rockwell / Allen-Bradley (RSLogix / Studio 5000), Siemens (TIA Portal / Step 7), and Schneider Electric (EcoStruxure / Unity Pro)—across job postings collected from Indeed using the keyword "automation engineering." The research compiles a structured dataset of job postings with seven fields: ID, Job Title, Organization, Rockwell / Allen-Bradley, Siemens, Schneider Electric, and Posting URL. Each entry is manually coded to indicate whether the listed software platforms are mentioned, …

Analytical And Semi-Analytical Modeling Of Solar Cells Using The Lambert W Function: A Comprehensive Review Of Equivalent Circuits, Adel El-Shahat, Martin Ćalasan, Snežana Vujoševic, Shady H. E. Abdel Aleem

Engineering Technology Faculty Publications

The modeling of photovoltaic (PV) cells through equivalent circuits forms a central element in the analysis, simulation, and optimization of solar energy systems. Traditional approaches often depend on iterative numerical methods to solve the implicit current–voltage (I–V) equations. In contrast, the Lambert W function has emerged as an effective mathematical tool that enables closed-form or semi-analytical expressions for a wide range of PV models. This paper presents a Lambert W-centered review of analytical and semi-analytical formulations for PV equivalent-circuit models, covering classical single-diode and multi-diode structures and modern variants incorporating additional elements, voltage-dependent parameters, and topology rearrangements. The models are …

Assessing Climate Change Impacts On Wildfire Risk In Central Appalachian Forests Of The Eastern United States, Imiya Mudiyanselage Chathuranika, Dalya Ismael

Engineering Technology Faculty Publications

Wildfire risk is increasing in the eastern U.S., yet spatial and climate-driven assessments remain limited. This study evaluates climate change impacts on wildfire risk in the Upper James Watershed (UJW) using baseline (2000–2019), near-future (2021–2040), and far-future (2061–2080) projections from a 12-model CMIP6 global climate model (GCM) ensemble under SSP2–4.5 and SSP5–8.5. A wildfire risk model was developed in ArcGIS Pro using nine key factors and validated with MODIS hotspot data, showing good agreement between modeled risk patterns and observed fire occurrences (NOF = 0.21, RMSE = 4.20, MAE = 3.37). Baseline risk was primarily driven by land cover, fire-lookout …

A Large Language Model-Based Academic Advising Assistant For Engineering Technology Students, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Otilia Popescu, Adel El-Shahat, Ryan Cotton, Kayla Marie Seegers, William Austin Henderson

Engineering Technology Faculty Publications

In recent years, Artificial Intelligence (AI)-based solutions, particularly Large Language Models (LLMs), have been applied to a variety of domains, such as energy, finance, transportation, healthcare, and education. Among these domains, education has become increasingly popular due to strong interest among educators and students. This study proposes an academic advising assistant system that uses LLMs to help Engineering Technology (ET) students plan their course load based on their educational history, departmental course offerings, and personal constraints, such as their preferred semester course load. The proposed LLM-based academic advising assistant system maintains a database of students' course histories and upcoming course …

Improving Medical Diagnostics With Vision-Language Models: Convex Hull-Based Uncertainty Analysis, Ferhat Ozgur Catak, Murat Kuzlu, Taylor Patrick, Michel Audette

Engineering Technology Faculty Publications

In recent years, vision-language models (VLMs) have been applied to various fields, including healthcare, education, finance, and manufacturing, with remarkable performance. However, concerns remain regarding VLMs’ consistency and uncertainty, particularly in critical applications such as healthcare, which demand a high level of trust and reliability. This paper proposes a novel approach to evaluate uncertainty in VLMs’ responses using a convex hull approach on a healthcare application for visual question answering (VQA). For any VLM, temperature refers to a sampling parameter used in probabilistic generation, which controls the randomness of the model’s output. The LLM-CXR model is selected as the medical …

Artificial Intelligence (Ai) In Educating Next Generation Of Engineering Technology Students, Adel El-Shahat, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Abdullah Al Mamun, Otilia Popescu

Engineering Technology Faculty Publications

Artificial Intelligence (AI) is transforming education, particularly for electrical engineering technology (EET) students, by presenting adaptive learning, immediate responses, and unconventional tools. Therefore, this paper proposes investigating modern learning to employ AI in educating future electrical engineering technology students. Firstly, the paper explores how to shape AI knowledge for EET students, supplying them with hands-on skills in AI tasks, clarifying coding, data analysis, and AI ethical usage. Then, as educators, what are the efficient AI tools to utilize in teaching, such as tailored tutoring, automated code assessment, AI-driven design/simulation, lecture dictation, and smart content creation? Key tools, for instance, Google …

A Methodological Framework For Modernizing Engineering Course Content With Large Language Models, Katherine Smith, Dalya Ismael, Otilia Popescu, Murat Kuzlu, Adel El-Shahat, Vukica M. Jovanovic

Engineering Technology Faculty Publications

The rapid evolution of technology presents challenges for engineering educators. While the core engineering methods often remain relevant over time, course materials rapidly become outdated in presentation and pedagogical approach. This paper presents a methodological framework for using large-language models (LLMs) to modernize engineering course content with a case study in an advanced technical analysis course.

The methodology follows a phased approach that is designed to be repeatable and verify the accuracy and completeness of course content. During the first phase, an LLM is used to map outdated text-heavy content to a modern format using a LaTeX template. The second …

Wip: Arduino-Based Pbl To Foster Entrepreneurial Mindset, Nathan Q. Holland, Vukica M. Jovanovic

Engineering Technology Faculty Publications

This work-in-progress paper examines a semester-long project-based learning initiative begun in an introductory engineering course during the Fall 2025 semester. The project aims to enhance students' hands-on experience by integrating information literacy, the engineering design process (EDP), and an entrepreneurial mindset (EM) [1]. The objective is to boost student confidence in teamwork, technical problem-solving, and application of skills, preparing them for future courses in their discipline. Students in this introduction to engineering course received an Arduino Uno R3 Controller board kit and additional sensors. They were tasked to develop a device addressing engineering in the medicine challenge of their choosing. …

Do Audit Partner And Audit Committee Member Ideologies Influence Engagement Partner Selection And Financial Reporting Oversight Effectiveness?, Robert Felix, Sattar Mansi, Mikhail Pevzner, Timothy Seidel

Faculty Publications

This study examines whether the ideological orientation of the audit partner and audit committee members— defined as their personal belief systems and inclinations, including their attitude toward risk, ambiguity, and novelty—has an impact on engagement partner selection and the effectiveness of oversight in the financial reporting process. Drawing on prior evidence that the two main US political parties reflect different ideologies, we hand-collect political donation data to construct ideological scores for audit partners and audit committee members. Our findings highlight several intriguing relationships. First, audit committees are more likely to select an ideologically dissimilar partner. Second, greater ideological dissimilarity between …

Do Cohort Restatements Generate Contagion? A Re-Examination, Melissa F. Lewis-Western, Timothy Seidel, Michael S. Wilkins

Faculty Publications

Gleason, Jenkins, and Johnson (2008) provide evidence that restatements lead to stock price declines among non-restating industry peer firms, suggesting that investors perceive contemporaneous manipulation within the industry. In contrast, Kedia, Koh, and Rajgopal (2015) find that restatements—especially less severe ones—encourage peer firms to initiate earnings manipulation. These divergent findings, together with the rising prevalence of less severe restatements and advances in monitoring technologies, motivate a re-examination of manipulation contagion. Although we are able to replicate the results of both seminal studies, we find that the results in Kedia, Koh, and Rajgopal (2015) are sensitive to design choices that affect …

Element Of Accountability: Strengthening Enforcement Of California’S Housing Element Law, Jonathan D. Bremen

Chapman Law Review

California’s housing crisis, marked by a severe shortage of affordable housing, soaring costs, and rising homelessness, has reached alarming proportions. Despite decades of efforts, the state continues to grapple with a housing market that significantly underserves low- and middle-income residents, forcing many to devote high portions of their income to housing. On paper, California’s Housing Element Law appears to be a valuable tool to address the crisis by requiring cities and counties to plan for housing needs across all economic segments. Widespread noncompliance with the law, however, has prompted both the state Attorney General and private parties to seek judicial …

Through A Glass Darkly: Targeting Cyber And Space Infrastructure In The Law Of War, Michael D. Minerva

Chapman Law Review

As modern militaries become more capable in the cyber and space domains, much of the legal debate has focused on how to legally conduct cyber and space operations. While important, that discussion has largely overlooked the legal implications for the rapidly growing cyber and space infrastructure that exists in the physical domain—commercial satellites like Starlink filling the night skies and data centers like those popping up all over northern Virginia. Most of this infrastructure is commercially developed and privately owned—presumptively civilian in nature—and yet used by militaries all over the world.

The same way bridges form critical ground lines of …

The Outer Space Legal Regime: Peace In Name, Power In Practice, And The Call For A New Treaty, Jaeden Esquivel

Chapman Law Review

Space warfare poses grave dangers that many fail to appreciate. Modern technologies and data-driven services have transformed the domain of space from a distant scientific frontier into the backbone of twenty-first century life. GPS navigation, supply chain logistics, aviation systems, weather forecasting, disaster planning, emergency services, and countless other essential, everyday data-driven systems depend on satellites operating in orbit. If these satellites were permanently disabled or destroyed, the critical Earth-bound infrastructure that relies on them would collapse as well.

For nearly fifty years, space as a geopolitical domain has relied on the 1967 Outer Space Treaty (OST) to ensure that …

Arbitration Overcorrection? Interpreting Arbitration Clauses After Morgan V. Sundance, Peter Constable Alter

Chapman Law Review

In 2022’s Morgan v. Sundance, Inc., the Supreme Court ruled that the Federal Arbitration Act (FAA) does not allow courts to “devise novel rules to favor arbitration over litigation.” Applying that principle, the Court held that the Eighth Circuit erred by grafting an arbitration-specific prejudice requirement onto the generally applicable waiver standard when deciding whether a defendant waived its right to arbitrate by proceeding in court. The Supreme Court traced this error to a misunderstanding of the FAA’s core purpose. While courts, including the Supreme Court itself, routinely interpreted the FAA as establishing a liberal “policy favoring arbitration,” the …

Escaping The Labyrinth: Cutting Through The Maze Of Federal Sector Employment Laws To Streamline Appeals, Allow Faster And More Consistent Decisions, And Level The Playing Field Between Agencies And Employees, Christopher Ligatti

Chapman Law Review

Federal employees and their job protections have gained increased media attention due to the current presidential administration. Criticism has long been aimed primarily at the property interest and accompanying due process protections that federal employees have in their employment. However, this Article argues that while the federal sector employment law system is badly in need of reform, the issue is not the constitutionally required due process protections afforded to employees, but rather the additional statutory and regulatory protections Congress has granted employees. Currently, federal employees have multiple overlapping forums in which they can bring employment actions, may cross-appeal negative decisions …

The Military Discharge Review Boards’ Irregular Presumption Of Regularity, Jessica Lynn Wherry

Chapman Law Review

“There is a presumption of regularity in the conduct of governmental affairs.” With these twelve words in the Department of Defense’s Code of Federal Regulations, the military discharge review boards (DRBs) have denied relief to thousands of veteran-applicants seeking a discharge upgrade. While seemingly innocuous, this administrative principle has become a nearly insurmountable barrier to relief for veterans with a less-than-honorable discharge. Veterans with a less-than-honorable discharge are generally ineligible for a range of veterans benefits, including health care and education benefits, and they have higher suicide rates compared to honorably discharged veterans.

For most veteran-applicants, the administrative path to …

Muted By The Machine: Expanding Ftc Authority To Address Algorithmic Review Suppression, Aubrey Adams

Chapman Law Review

As digital platforms increasingly shape consumer decision-making, the integrity of online reviews has become central to fair market competition. In 2024, the Federal Trade Commission (FTC) issued a final rule prohibiting deceptive practices involving consumer reviews, including traditional forms of review suppression. Yet the rule fails to address a more subtle threat: algorithmic review suppression.

This Note argues that algorithmic review suppression, where platforms use automated systems to downrank or obscure negative reviews, creates a misleading impression of product quality while evading existing regulation. Unlike traditional suppression, these practices operate invisibly under the guise of content curation, distorting consumer perception …

Review: Big Skies, White Hoods: The 1920s Klan And A History Of Hate In Montana, By Christine K. Erickson, Brent M. S. Campney

History Faculty Publications

No abstract provided.

The Spiderman Piñata, Manuel F. Medrano

History Faculty Publications

No abstract provided.

Los Pescadores, Manuel F. Medrano

History Faculty Publications

No abstract provided.

‘The Way We Do Our Translation’: A Case Study Of Translation Policy For Spanish Speakers In The Public Parks Of Sonoma County, California, Gabriel González Núñez, Ángel María Casas Grageab, Christina Guerrero Harmon

Writing and Language Studies Faculty Publications

Signs in public spaces can provide essential information. Especially at times of crises, and in places where there are large populations who speak a minoritized language, translation is often employed to create multilingual signage for the benefit of the community. After all, translated signs appear because some authority considers that a certain message is important enough to be visibly communicated to the public, including those who do not speak the State’s preferred language. The decision as to whether to translate or not certain signs may seem arbitrary, but one would hope that it is the result of a guided policy …

Gendered Punishment? How The Corruption Of Female Politicians Affects Public Opinion Of Female Political Leadership, Byung-Deuk Woo, Mi-Son Kim, Tracy Osborn

Political Science Faculty Publications

Does the corruption of a woman politician decrease public support for other women political leaders? To answer this question, this article examines how the impeachment of Park Geun-hye, the first female president of South Korea, affects people’s perceptions of women’s political leadership in South Korea. We argue that in South Korea, the high-level political corruption scandal of the first woman president led to lower evaluations of women’s political leadership because of the intense and gendered media coverage of Park’s failure. Using the two waves of the World Values Survey conducted in South Korea before and after Park Geun-hye’s impeachment in …

For Two Cents A Pound, Manuel F. Medrano

History Faculty Publications

No abstract provided.

Efficiently Stowed Flashers With Uniform-Thickness Panels Based On Non-Developable Origami, Larry L. Howell, Robert J. Lang, Specer P. Magleby, Davis Wing

Faculty Publications

We present the mathematical construction of a deployable flasher pattern with near-uniform nonzero thickness in the deployed form and efficient face-to-face packing in the stowed form. We demonstrate its fabrication, deployment, and stowage. The results facilitate the design and manufacture of deployable systems with panels whose substantial thickness is dictated by the end application, with particular utility for space systems.

Influence Of Surface Features On Heat Transfer During Dropwise Condensation Over Superhydrophobic Surfaces In Shear Flow, Shaur Humayun, R. Daniel Maynes, Julie Crocket, Brian D. Iverson

Faculty Publications

This study investigates heat transfer during dropwise condensation (DWC) on superhydrophobic (SH) surfaces in humid air shear flow, emphasizing the effect of increased drop mobility and the influence of surface micro/nanostructure on heat transfer rates. Experiments were conducted on smooth hydrophobic, microstructured SH, nanostructured carbon-infiltrated carbon nanotube (CICNT) surfaces, and two-tiered SH surfaces with both micro and nanostructures. Heat transfer rates were measured under humid air flow rates in the range of 2–4 CFM. Experimental results demonstrate that surfaces with nanostructure (including two-tiered structures) exhibit increased drop mobility and coalescence-induced drop jumping, enhancing drop removal rates and overall heat transfer …

2024 Annual Operations And Maintenance Report - 2024 Bres Annual Summary Report For Work Completed In Quadrant 4, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Performance Of Machine Learning Algorithms In Predicting Under-Five Anaemia In Tanzania, Henry Ofori Duah, Derrick Nyantakyi Owusu, Godwin G. Duah, Paul Shidende

College of Nursing Faculty Research and Publications

Aim

Anaemia in children under five remains a major public health concern, contributing significantly to global child morbidity and mortality. With the rise of machine learning (ML), novel opportunities exist to model and predict anaemia more effectively. This study aimed to evaluate and compare the performance of five ML algorithms in predicting anaemia among under-five children in Tanzania.

Methods

We conducted a secondary data analysis using the 2017 Tanzania Malaria Indicator Survey (TMICS). The dataset (n = 5906) was randomly split into training (70%) and test (30%) sets. Five ML algorithms, Linear Discriminant Analysis (LDA), Logistic Regression, Random Forest (RF), …

Comparing Us Medicare Coverage Options As A Contributing Mechanism To Sticking Or Switching To An Insurance Plan, Lisa M. Grabert, Brian J. Miller, Kathryn L. Wagner

College of Nursing Faculty Research and Publications

Background

In 2025, the US Medicare program is expected to spend over $1.1 trillion taxpayer dollars. A growing trend in the US Medicare program is more beneficiaries electing a private insurer, referred to as Medicare Advantage (MA), to manage their care. Since 2023, a slight majority of Medicare beneficiaries have elected to enroll in MA, yet little is understood about the mechanisms that drive beneficiaries toward their choices.

Methods

Our objective was to examine the association between comparing coverage options and ‘switching’ or ‘sticking’ with Fee-for-Service (FFS) Medicare or Medicare Advantage (MA). We conducted a panel study, using data from …

From The Goodness Of Our Hearts: A Scoping Review Of Qualitative Literature On Altruism As A Reward Mechanism For Nursing, Jacqueline Christianson, Madaline Mccarthy, Bonnie Sommers-Olson, Emily Horner, Norah L. Johnson

College of Nursing Faculty Research and Publications

Introduction

Altruism, the desire to help others, is a common motivation for choosing a career in nursing. Improved understanding of the role of altruism as a reward or motivation for currently-practicing nurses may inform future interventions to improve effort-reward balance among practicing nurses. Therefore, the purpose of this study was to collect, examine, and present literature on how altruism has been described as a reward mechanism or motivation for engaging in professional nursing.

Methods

This scoping review of literature used the Arksey & O’Malley method, PRISMA-ScR reporting checklist, and Rayyan review management platform. PubMed, Web of Science, and CINAHL were …

An Educational Intervention On Mutual Goal Setting For Hospital Nurses: A Mixed-Methods Study, Teresa Jerofke-Owen, Kristi Opper, Joseph Beiler, Maharaj Singh

College of Nursing Faculty Research and Publications

Background:

Including patients in mutual goal setting is one mechanism to personalize care delivery and improve patient outcomes.

Objective:

The purpose of this study was to examine the impact of a nurse educational intervention about mutual goal setting on nurse engagement and self-efficacy for goal setting and the nurse/patient experience of goal setting.

Methods:

During this explanatory, sequential mixed-methods study, nurse engagement in goal setting and goal quality was assessed through chart audits 1-month pre-intervention (n = 173) and 1 and 3-months (n = 144, n = 137) post-intervention. Nurse self-efficacy was measured with the Appraisal Inventory Tool. Patient experience …