Digital Commons Network^™

Navigating Transportation Barriers: Older Adults’ Familiarity With New Mobility Options And Perceptions Toward Autonomous Vehicles In Arkansas, Arna Nishita Nithila, Suman Kumar Mitra, Michelle Gray, Alishia Juanelle Ferguson, Jennifer D. Webb

Civil Engineering Faculty Publications and Presentations

The objective of this study is to analyze older adults’ familiarity with new transportation options (ride-hailing services, bike-share services, and shared e-scooter services) and their perception towards autonomous vehicles (fully autonomous cars), as well as how transportation barriers influence their familiarity and perceptions, in Arkansas, a predominantly rural state. Data from 775 older adults aged 60 years or older were collected between October 2021 and October 2022. To fulfill the study objective, the study used Latent Class Cluster Analysis to segment older adults into classes based on their familiarity with new transportation options and their perceptions of autonomous vehicles. The …

Integrated Sustainability: Unlocking Environmental Potential In Electric Vehicles And Solar Panels, Zachary C. Anderson

Honors Theses

This thesis investigates the environmental, economic, and individual level factors influencing consumer adoption of electric vehicles and solar panels. Through a comprehensive scoping review and case-based analysis, it identifies key incentives and barriers related to purchase intentions for each alternative energy technology. Central factors influencing adoption include cost-related concerns, individual purchasing power, demographic effects, and policy impact. These findings suggest that targeted interventions – specifically those used to amplify incentives and mitigate barriers – can positively impact individual consumer purchase intention, including through bundling options. Highlighting the importance of integrated sustainability, this study explored how electric vehicles and solar panels …

The 6th International Workshop On Talent And Management Computing (Tmc 2025), Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for leaders to deliver intelligence for effective management for organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 6th International Workshop on Talent and Management Computing …

A Review: The Beauty Of Serendipity Between Integrated Circuit Security And Artificial Intelligence, Chen Dong, Decheng Qiu, Bolun Li, Yang Yang, Chenxi Lyu, Dong Cheng, Hao Zhang, Zhenyi. Chen

Research Collection School Of Computing and Information Systems

Integrated circuits are the core of a cyber-physical system, where tens of billions of components are integrated into a tiny silicon chip to conduct complex functions. To maximize utilities, the design and manufacturing life cycle of integrated circuits rely on numerous untrustworthy third parties, forming a global supply chain model. At the same time, this model produces unpredictable and catastrophic issues, threatening the security of individuals and countries. As for guaranteeing the security of ultra-highly integrated chips, detecting slight abnormalities caused by malicious behavior in the current and voltage is challenging, as is achieving computability within a reasonable time and …

Drift Dynamics Of Early Life-Stage Invasive Carps, Saurav Karki

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Asian carp species pose significant ecological threats to North American freshwater systems due to their invasive nature and prolific reproduction. Their semi buoyant eggs develop while drifting downstream with the river current. Understanding early life-stage transport is therefore critical for predicting recruitment potential and guiding management efforts. Existing fluvial egg drift models, including those relying on 1-D hydraulics and fully 3-D CFD-based models, are either inadequate for complex braided rivers or too computationally demanding for large-scale application. The Platte River in Nebraska, characterized by wide, shallow, multi-threaded channels, is dominated by two-dimensional flow conditions, making a depth-averaged 2-D modeling approach …

Impact Of Humidity From Shrink (Wrap) Tunnels On Refrigeration Systems: Comparing Economic And Environmental Impact Of Natural Gas And Electric, Segun Samuel Oladipo

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

This thesis examines the economic and environmental effects of electric and steam shrink-wrapping tunnels used in beef packaging processes, paying particular attention to the indirect refrigeration loads caused by the heat and humidity that each system releases. Traditional sustainability evaluations frequently ignore these indirect impacts, which are especially important in meat processing facilities where 45–55% of electricity use is attributed to refrigeration. Life cycle assessment (LCA), field measurements, and thermodynamic modeling are all used in this work to offer a thorough analysis of both tunnel types.

The case study facility in Nebraska operates both steam and electric shrink tunnels to …

Hardware And Software Design For A Portable Surgical Training Simulator, Victoria Nelson

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

More than 51 million surgeries are performed on patients annually in the United States. That number grows to 310 million surgeries performed globally each year. Most surgeons go through a minimum of five years of residency – where they train and hone their surgical skills. It is important during this time, and throughout their careers, that they get plenty of practice. Surgical training is time intensive, expensive, and frequently under-resourced. There are finite amounts of surgical training modules for students to share at their facilities. The problem of getting adequate surgical training time continues to exist after surgeons begin their …

Traffic Prediction For Research And Education Networks: Anomaly-Aware Deep Learning And Benchmarking, Mohammad Arafath Uddin Shariff

School of Computing: Dissertations, Theses, and Student Research

Research and Education Networks (RENs) and High-Performance Computing (HPC) environments are critical infrastructures for modern scientific discovery, demanding sustained high-throughput and low-latency data transfers. Unlike commercial networks, RENs exhibit unique traffic characteristics, including predominant “elephant flows,” inherent burstiness, and complex temporal-spatial dynamics often decoupled from human-driven cycles. Traditional traffic forecasting methods, tailored for commercial Wide Area Networks (WANs), consistently fail to capture these distinct REN dynamics, leading to inefficient resource management and potential impediments to scientific progress.

This thesis addresses this critical gap by developing and validating a robust, scalable, and anomaly-aware traffic forecasting framework specifically tailored for REN/HPC networks. …

Ucf Pegasus Plan - 5th Grade - Early American Inventions, Del M. Herman, Jaclyne Casella, Kathryn Garner

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this unit, students will trace early American inventions' effects on the early United States and the business productivity of that era. Students will complete primary source analyses on the different inventions, take guided notes in a foldable on each invention, and participate in a collaborative project where students will create a PowerPoint on a particular early American invention in order to demonstrate proficiency in this unit.

An Exploration Of Factors Influencing Sophomore-Year Persistence At A Regional Institution In Southern Appalachia, Jonathan W. Mitchell

Electronic Theses and Dissertations

The purpose of this qualitative and interpretative phenomenological study was to explore factors that participants identified as playing roles in their persistence through their sophomore years at a regional university located within Southern Appalachia. Research on second-year retention efforts is far lacking compared to first-year retention efforts. Reflecting the heavy emphasis placed on the first year, there is also more research on first-year retention. However, students can feel a sharp decline in support entering sophomore year, making that just as critical of a transition. Student retention has been emphasized in higher education since its inception, as an institution’s goal in …

Latina Senior-Level Leaders In 2-Year Public Higher Education Institutions In Texas: A Life Story Narrative Study, Monica Yvette Escobar-Leblanc

Electronic Theses and Dissertations

The study was designed to understand the personal and academic experiences of Latinas in senior-level leadership positions in 2-year public higher education institutions in Texas and the impact, if any, of these experiences on their leadership development. Although Latina undergraduate college enrollment has continued to increase, Latinas remain significantly underrepresented in senior-level leadership roles in higher education institutions. Using a life story narrative approach and LatCrit as the theoretical lens, this study examined leadership development across the life span from adolescence to middle adulthood. The thematic analysis of the four Latinas' life story narratives, employed in 2-year public higher education …

Predictors Of Permanent And Temporary Motor Deficits In Patients Undergoing Glioma Resection: A Systematic Review And Meta-Analysis, Brian J. Conway, Stephanie A. Armstrong, Nada Botros, Sergey Tarima, Max O. Krucoff

Biomedical Engineering Faculty Research and Publications

Objective

To identify predictors of permanent and temporary motor deficits in patients undergoing glioma resection.

Methods

A literature search accessed the databases Ovid Medline, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature/EBSCO, PsychInfo, Cochrane, and Wiley for studies reporting motor outcomes following surgical resection of glioma. Outcomes were stratified by patient/tumor characteristics, preoperative condition, and intraoperative factors for both permanent and temporary motor deficits. Generalized estimating equations were used to generate odds ratios.

Results

A total of 1332 titles and abstracts were reviewed resulting in the evaluation of 261 full-text articles. Data were extracted from 67 …

Projecting Echoes: Valeria Luiselli's Writing On Immigration, Jacob C. Cisneros

Electronic Theses, Projects, and Dissertations

The growing concerns of immigration has been a fraught topic in both U.S. society and the American political landscape. Certain political narratives are formed which fuel the debate for and against immigration. This coincides with how immigrants are treated and how legal processes change throughout each term of presidency within the United States. This has sparked outrage from both advocates and adversaries of immigrants coming into the United States. Papers, speeches, news articles, and more have been created from both sides of the argument concerning how to handle the immigration crisis along with the question of how immigrants and asylum …

Fact-Checker: A Web Application For Leveraging Large Language Models For Fact-Checking Youtube Videos, Andrew R. Craig

Electronic Theses, Projects, and Dissertations

Fact-Checker is a web application that allows users to fact-check YouTube videos. It feeds YouTube’s closed captioning transcript to a large language model (LLM) to extract claims. It then uses multiple LLMs, such as Gemini, Llama, and Claude, to verify these claims. The modular design makes it easy to change to a different LLM or model if needed. The application is built using Python for access to Application Programming Interfaces (APIs) and Streamlit as the front-end framework. The utilization of Docker and Dockerfiles enables easy distribution and deployment. It enables the application to be deployed on almost any hardware platform …

Medical Surveillance In Custodial Jsas: Preventing Bloodborne Pathogen Exposure, Kiara Gadea

Electronic Theses, Projects, and Dissertations

Custodians play an important role in maintaining our surroundings safe and sanitary. However, in doing so, they are their exposure to health hazards that put them at risk, yet these exposures are often overlooked. One major risk they face is contact with bloodborne pathogens, which put custodial staff at risk for infections such as hepatitis B. While Job Safety Analyses (JSA’s) outline various protective measures, many fail to incorporate medical surveillance as part of their risk management program. Overlooking this important detail leaves custodians vulnerable to health risks that can be prevented.

Adding a medical surveillance section to custodial JSA’s, …

Coding Manual: Analyzing Semistructured Interview Data For Master Narratives, Jayson Seaman, Cindy Hartman, Andrew D. Coppens

Faculty Publications

This coding manual accompanies a methodological reorientation in narrative identity research, one that challenges the field’s prevailing “protagonist bias” — the assumption that first-person autobiographical accounts are the primary or most valid source for identifying cultural master narratives as psychological resources. While much psychological research has centered on how individuals narrate their own lives, this approach can obscure the ways that broader cultural narratives are circulated, reinforced, and contested through discourse beyond the self. This method provides researchers with a systematic approach for identifying how master narratives operate across multiple narrative levels, often outside of biographical storytelling.

Rooted In Roses: The Blossoming Legacy Of Tyler's Floral Economy, Manuel Reyes-Loya, Cecilia Cuellar

Hibbs Brief

This brief examines Tyler, Texas's rose industry and its impact on the local economy and culture. Once the “Rose Capital of America,” Tyler transitioned from large-scale rose production to a focus on processing, distribution, and community traditions like festivals. The rose industry has played a key role in regional employment, economic growth, and maintaining Tyler's cultural identity.

2025 Annual Report Of The Nominating Committee, University Of Northern Iowa. Faculty Senate.

Documents - Faculty Senate

University Nominating Committee report including committee memberships, produced by the Faculty Senate of the University of Northern Iowa.

Studies' Trends On The Use Of Artificial Intelligence Technologies In Analyzing And Directing Consumer Behavior: A Second-Level Analysis Of Published Research During The Period 2018-2024, Shaymaa Al-Said Salem

Journal of Arts and Social Sciences

Companies in the era of digital communications must follow the latest technological developments to keep pace with their competitors and meet the needs and requirements of the market. Artificial intelligence has become an essential element in achieving this goal, as this technology has brought about fundamental changes in the global trade scene, and this has manifested in the form of ideas, interests, and huge investments. Therefore, many companies and business organizations in various sectors have recently resorted to using artificial intelligence techniques in the field of digital marketing and consumer behavior analysis to anticipate the customers' next purchase decision and …

Labor, Leisure, And Law, Aneil Kovvali, Jonathan S. Masur

North Carolina Law Review

No abstract provided.

The Deletion Remedy, Daniel Wilf-Townsend

North Carolina Law Review

No abstract provided.

Integrating Art Therapy And Emerging Technologies For Enhanced Neuroplasticity And Ptsd Intervention, Piper Hutson, James Hutson

Faculty Scholarship

Post-traumatic stress disorder (PTSD) remains resistant to many conventional treatments, underscoring the need for integrative approaches that harness neuroplasticity. Art therapy, with its capacity to facilitate nonverbal trauma processing and multisensory engagement, has shown distinctive advantages over verbal and pharmacological interventions. Recent innovations, including virtual reality (VR), artificial intelligence (AI), and biofeedback have amplified the therapeutic efficacy of art-based interventions by enabling adaptive, real-time modulation of emotional and physiological states. This review synthesizes current research on technologically enhanced art therapy, comparing it to established treatments such as cognitive behavioral therapy (CBT) and eye movement desensitization and reprocessing (EMDR). Findings indicate …

The Future Research Direction Of Cgiar: Lessons Learned From One Cgiar, Katie Loethen

Graduate Theses and Dissertations

Since its founding in 1971, CGIAR (formerly the Consultative Group on International Agricultural Research) has been at the forefront of agricultural innovation, credited with launching the Green Revolution and delivering 1.78 trillion USD in net present value (NPV) benefits globally, particularly in low- and middle-income countries. Despite these accomplishments, CGIAR now faces internal and external pressures that threaten its future impact. The 2019 reorganization into “One CGIAR” aimed to enhance coordination but has been criticized for adding bureaucracy and reducing scientific autonomy. Simultaneously, public funding for agricultural research is shrinking, while private sector investment often overlooks low-margin, high-need areas central …

Development Of A Homogenized Material Model For Carbon Fiber–Aluminum Transition Joints Using Fea And Optimization, Nicholas M. Couch

All Theses

The integration of metals and composites in automotive structures improves manufacturability and overall structural performance. The proposed Ultrasonic Additive Manufacturing (UAM) joint provides a promising solution for joining aluminum and carbon fiber; however, modeling its behavior across an entire vehicle can be computationally expensive. To address this challenge, a homogenized material card is developed to efficiently capture the joint’s mechanical response while maintaining computational efficiency. A novel characterization method is implemented, employing implicit simulations and optimization techniques to determine the effective material properties of the UAM transition joint. This approach enables rapid iteration of material parameters, facilitating the efficient evaluation …

Impact Of Activated Carbon On In-Situ Reductive Dechlorination Of Chlorinated Ethenes In The Presence Of Perfluoroalykl Substances, Katie Motta

All Theses

Perfluoroalkyl substances (PFAS) and chlorinated ethenes are frequently co-detected at contaminated sites, yet little is know about how PFAS influence the performance of in-situ reductive dechlorination processes, particularly in systems amended with activated carbon.

The objective of this research was to study the impact of PFAS on in-situ reductive dechlorination of chlorinated ethenes using activated carbon. This research aims to characterize the sorption behavior of PCE and TCE (and its daughter products) and PFAS (PFOS and PFOA) onto activated carbon, and to assess how this sorption influences PCE and TCE removal from contaminated media in the presence of activated carbon. …

Evaluating (Bio)Degradation Of Carbon Tetrachloride In Fe(Iii)-Reducing Environments, Adam Rogers

All Theses

Understanding degradation of carbon tetrachloride in-situ is vital for many remediation projects across the world, yet conclusive evidence of its feasibility is lacking in previous studies.

The main objective of this research is to assess the potential for carbon tetrachloride attenuation by biological, abiotic, and combined processes in a Fe(III)-reducing aquifer. In doing so, it assesses the effect of pH and stoichiometric ratio on abiotic degradation of carbon tetrachloride using various reducing agents, evaluates iron-mediated versus direct biotic degradation of carbon tetrachloride using pure cultures under resting and growth conditions, and characterizes the effects of culture strain, electron acceptors and …

Machine Learning Based Medical Ultrasound Image Classification And Grad-Cam Interpretation, Victoria C. Hemphill

All Theses

This work takes a step in creating a diagnostic tool for the classification decision process of Achilles tendinopathy using ultrasound images. An attention-based multiple instance learning model is developed to classify the images. Typically, doctors capture multiple ultrasound images of the Achilles tendon during a study to determine a complete diagnosis. Multiple instance models adopt this behavior by providing a single label for a set of instances (images). The images are grouped into ”bags” at the study level and passed into the model. The MIL model then uses its attention property to assign an importance score to each image to …

Visor-Zt: A Visibility, Simulation, And Operational Resilience Framework For Zero Trust Security In Ros 2, Noah Tinker

All Theses

Robotic systems are becoming more and more prevalent in modern society, with Robot Operating System 2 (ROS 2) being the dominant operating system for these implementations. Its popularity can be attributed to its design, which is purpose-built for distributed systems and asynchronous communications. However, ROS 2 security is static and therefore less capable of responding to contemporary threats and network behavior. This becomes a greater issue when considering its applications in the military and defense sectors, where security is of the highest importance. In recent years, the U.S. Department of Defense (DoD) has implemented zero trust (ZT) security based on …

A Generalizable And Privacy-Preserving Framework For Anomaly Detection In Heterogeneous Iot Environments, Mahshid Rezakhani

All Theses

With the rapid growth of Internet of Things (IoT) devices across various sectors, detecting anomalies in such systems has become increasingly challenging. IoT environments produce diverse and evolving data streams, often lacking labeled examples, which limits the effectiveness of traditional machine learning models. These models typically require frequent retraining and struggle to adapt to new deployment conditions. This thesis proposes a flexible, privacy-aware framework for anomaly detection in multivariate time series data generated by heterogeneous IoT systems. The approach integrates a long short-term memory variational autoencoder (LSTM-VAE) with contrastive learning and adversarial adaptation, enabling the model to generalize across domains, …

Polyphenols For The Mitigation Of Vascular Calcification; In Vitro And In Vivo Studies, Abdullah Altuhami

All Theses

Globally, cardiovascular diseases, in most cases associated with calcification, are the main cause of death. However, currently, the only effective cure is to undergo surgery to augment or receive a healthy donor heart, which could be very difficult due to the long waiting list and the associated risks. The possibility of body rejection of the foreign organs is attributed to immunoreaction or the risk of infection, since the donor must be on immunosuppressant drugs that lower the body's immunity and facilitate the body's acceptance of the new organ as one of its own. Taking that into consideration, using tissue-engineered vascular …