Digital Commons Network^™

Using Secreted Biomarkers In The Development Of The Detection Of Advanced Cancer Screening System, Elaine Vanterpool, Jaydan Vanterpool, Jordon Vanterpool, Robert Lister, Shania Swain, Enock Ngoga, Jovaughn Redley, Imani Shields, Dalen Jones, Santiago Moreno, Ronnie Nichalson, Jea Joseph Msie

Student Posters

As of 2020, there were an estimated 19.3 million new cancer cases and almost 10 million cancer deaths. Among the different types of cancers in the world, the most prevalent cancer, lung cancer, accounted for 23% of all cancer deaths (CDC) and has been relatively steady since 1999. However, by using Detection of Advanced Cancer Screening (D.A.C.S), many patients with cancer cases would receive efficient, reliable treatment in a timely manner. According to Cancer.gov, multiple participants reported being screened for cancer, “After they had ‘aged out of the recommended range for routine cancer screening”. (Dr. Moss) “We found that over …

Pulsesight: Ai-Powered Smartphone Solution For Non-Invasive Oxygen Saturation, Respiration Monitoring & Emr Integration, Kazi Zawad Arefin

Dissertations (1934 -)

The utilization of non-invasive, contactless methods to detect physiological parameters such as oxygen saturation (SpO2) and respiration rate has the potential to significantly improve healthcare delivery. This dissertation suggests a new system that utilizes photoplethysmography (PPG) signals extracted from facial and fingertip video recordings. These video recordings are captured using a standard smartphone. The system accomplishes real-time, contactless health monitoring without the necessity of specialized medical equipment by employing advanced image processing and signal analysis techniques. This method addresses critical health challenges, particularly for vulnerable populations, by facilitating continuous monitoring in resource-constrained environments. The development of a context-aware mobile application …

Urban Base Cations: Fate, Transport, And Effect On Nitrogen Cycling Genes In Green Stormwater Infrastructure, Duyen Thuy Lam

Dissertations (1934 -)

Urbanization has significantly changed the natural cycling of base cations, primarily due to the use of deicer salts, such as sodium chloride, and chemical weathering of limestone and concrete infrastructure. An unintended consequence is the accumulation of salt across urban settings. These base cations, transported mainly by stormwater runoff, accumulate in soils, streams, lakes, and groundwater, posing risks to soil health, water quality, and ecosystems. To mitigate stormwater runoff and pollutants, cities have adopted stormwater best management practices, shifting from traditional gray to hybrid gray-green infrastructure. As a result, salt-laden runoff is increasingly routed into green stormwater infrastructure (GSI), where …

Dual Quaternions For Gravity Recovery Missions, Ryan Kinzie

Doctoral Dissertations and Master's Theses

A dual quaternion-based modeling, state estimation and control approach is introduced as a better alternative to the traditional methods which are currently utilized for gravity recovery missions. The proposed modeling and control approach was verified against and compared to the tangent bundle to Special Euclidean Group 3 through MATLAB simulations. The dual quaternion-based approach shows superior performance over traditional linearized and uncoupled methodologies, in both modeling accuracy of spacecraft translational position, and the ability to control the pose of a test mass relative to its host spacecraft. Utilizing data products from the Gravity Recovery and Climate Experiment Follow-On mission, a …

Exploring A Novel Adaptive Mesh Refinement Strategy For High-Speed Cfd, Arjun Jaishankar Vedam

Doctoral Dissertations and Master's Theses

Adaptive Mesh Refinement (AMR) techniques to efficiently and robustly achieve grid independent solutions on multi-element unstructured grids is a topic of practical interest within the CFD community.

The current effort focuses on the efficiency of a novel Adaptive Mesh Refinement (AMR) strategy that is developed and evaluated for transonic high-speed flows using Ansys Fluent. The algorithm for marking cells for adaptation is designed to systematically reduce local truncation errors based on the curvature of the primitive vector field. The algorithm for marking cells for adaptation is described in sufficient detail to be portable to other flow solvers that offer AMR. …

Contaminated Sweeping Langmuir Probes On Sounding Rocket Platforms, Rachel Conway

Doctoral Dissertations and Master's Theses

Sweeping Langmuir Probes (SLPs) are one of the most commonly used probes on sounding rocket missions. They offer measurements of plasma density, electron temperature, and both relative and absolute payload charging. One of the major implementation challenges, however, is contamination on the surface of the probe such that collected IV curves become distorted. This distortion can result in deflated densities, inflated temperatures, and erroneous charging measurements. This dissertation aims to expand our understanding of contamination's impact on SLP data and offer new mitigation methods appropriate for the sounding rocket platform.

SPICE, Simulation Program with Integrated Circuit Emphasis, is used to …

Applying Software Engineering Black-Box Methods For Testing Machine Learning Models, Timothy Elvira

Doctoral Dissertations and Master's Theses

This dissertation proposes researching an approach to incorporate and align Software black-box testing methods into Machine Learning (ML) applications, specifically in the context of computer vision models. Typically, testing methods within Software Engineering (SE) encompass a range of test types that assess levels of a software system, such as Unit, Integration, Functional, and System testing [1]. The testing spectrum offers two perspectives on the system: black-box, where the system’s code is hidden, and white-box, where the system's code is exposed for testing. Software Quality pairs testing with requirements, in a many-to-one relationship, to ensure proper validation of the software system. …

Modeling The Dynamics Of Flexible Aerospace Vehicles Using The Theory Of Functional Connections, Carlo Lombardi

Doctoral Dissertations and Master's Theses

Modeling and control of flexible vehicles is a topic of high interest in the aerospace field and a key challenge lies in finding accurate mathematical representations of the flexible dynamics of continuous elastic structures that allow simple integration into estimation and control algorithms. The answer was found in approximating the dynamics of these systems with sets of coupled Ordinary Differential Equations (ODE) for which a well-established estimation and control theory is available. Each of the techniques employed to achieve this goal is characterized by its own strengths and limitations. Hence, the main objective of this research is to develop the …

Developing Fixed-Bias Langmuir Probes For Multi-Point Constellation Deployments, Henry Carter Valentine

Doctoral Dissertations and Master's Theses

Since their initial development in the early 20th century, electrostatic Langmuir probes have proved invaluable in terrestrial and interplanetary ionospheric sounding applications. When deployed aboard rocket and satellite platforms, these probes yield high-cadence, in-situ measurements of key plasma parameters such as electron density, ion density, and electron temperature. Furthermore, the efficacy of Langmuir probes in characterizing the three-dimensional structure and dynamics of ionospheric plasmas can be augmented by the technique of multi-payload deployments. In this work, we discuss the design, development, and analysis of fixed-bias Langmuir probes constructed for two multi-point science campaigns: the Mars-bound, dual-satellite Escape and Plasma Acceleration …

Framework For Integrating Industry Knowledge Into A Large Language Model To Assist Construction Cost Estimation, Prashnna Ghimire

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The construction industry generates a large amount of data across projects produced by digital devices, tools, and methods, and this volume is rapidly increasing. However, the industry lags behind in adopting data-driven technologies. On the other hand, the rapid advancement of generative AI (GenAI) in recent years, especially state-of-the-art large language models (LLMs), shows great potential and has been increasingly adopted in many industries; however, the construction industry is behind in adoption. While academic studies have proposed various machine learning applications for construction, industry implementation has lagged due to a disconnect between these proof-of-concept developments and practical industry needs. Also, …

Reimagining The Potential Of Higher Education In Prison And Reentry, Darren Wheelock, Theresa Tobin, Robert Smith

Social and Cultural Sciences Faculty Research and Publications

No abstract provided.

Design Of Dmd Nano Logic Gates With Strip Waveguides For Communication System, Jabbar Khalaf Mohammed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

COMSOL software is used to build and quantify optical logic circuits using plasmonic square ring resonators. An operation utilizing constructive and destructive control along with input port interferences as inputs results in the proposed gates. At 1010 nm resonance wavelength, the transmission threshold is 30% at a single interface, the ratio of input power to output optical power. All plasmonic gates are executed within a singular structure measuring 150 nm by 150 nm. The OR gate and the AND gate exhibit transmission rates exceeding 100%, with both reporting a rate of 221%. The OR and AND gates exhibit modulation depth …

Hiding Secret Message Into Gray Image Using 2-Bit Plan Slicing, Zahraa Abbas Al-Zubaydi, Layth Kamil, Israa Ali Al-Neami, Maisa'a Abid Ali Khodher

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The comprehensive utilization of the Internet has grown significant and widespread in contemporary times. Thus, the necessity for a robust method to facilitate the secure dissemination of data has emerged as a significant barrier for network users in the realm of data transmission.The proposed system comprises four stages: the first stage employs two-bit plane slicing (2-BPS) to partition the image into four subimages (covers), the second stage transforms a secret message from ASCII to binary format; the third stage produces a random secret key; and the four stage conceal the secret message into the covers(2BPS) images. The results obtained the …

Women Overcoming Barriers In Stem: How Mentors, Allies, And Sponsors Assist Career Trajectories In Higher Education, Leila Marie Romeo

Electronic Theses and Dissertations

This study focused on the personal narratives of women in STEM in both public and private higher education institutions within various roles. Specifically, the researcher aimed to determine the following: (a) if mentors/allies influence the career trajectories of women in STEM in higher education institutions and (b) if mentors/allies aid in the support of women in STEM in higher education institutions. The researcher used semistructured interviews with a narrative analysis to determine areas of struggle for the sample within their careers and how mentors, allies, and sponsors were present throughout their careers to help the women overcome these challenges. Data …

Impact Of A Transplant Nurse Navigator In The Dialysis Setting, Judith D. Pozzerle

Electronic Theses and Dissertations

Patients with kidney disease have better patient outcomes and quality of life with a kidney transplant. However, the transplant process is complicated with inherent inequalities and biases and patients frequently fail to initiate a referral for transplant evaluation. The Centers for Medicare and Medicaid have now placed financial incentives to improve the number of patients transplanted. The only way to increase the number of patients transplanted is to start with a referral for evaluation. Studies have been done highlighting the barriers, but there is a lack of studies implementing strategies to improve these numbers. Utilizing Kotter’s change theory and describing …

Charter Schools And Students With Disabilities: Admissions Equity, Kelly L. Carrick

Senior Theses

Many states are now offering parents a choice in where their child attends school, typically offering charter schools as the alternative to public schools. With charter school enrollment on the rise, questions have begun to arise regarding the acceptance rates of students with disabilities, specifically, how do students with disabilities fare in the process of being admitted to charter schools? This research examines the admissions policies of charter schools, the admission rates for students with disabilities, as well as the legality and equity of this topic. Previous research has found that charter schools typically do not accept as many students …

Machine Learning To Predict Stroke Risk From Routine Hospital Data: A Systematic Review, William Heseltine-Carp, Megan Courtman, Daniel Browning, Aishwarya Kasabe, Michael Allen, Adam Streeter, Emmanuel Ifeachor, Martin James, Stephen Mullin

School of Engineering, Computing and Mathematics

Purpose: Stroke remains a leading cause of morbidity and mortality. Despite this, current risk stratification tools such as CHA₂DS₂-VASc and QRISK3 are of limited accuracy, particularly in those without a diagnosis of atrial-fibrillation. Hence, there is a need for more accurate stroke risk prediction models. Machine-learning (ML) may provide a solution to this by leveraging existing routine hospital databases to build accurate stroke risk prediction models and identify novel risk factors for stroke. Aims: In this systematic review we appraise current research using ML to predict stroke risk from routine hospital data. Based on these findings …

Josephson Junctions: Fabrication And Applications For The Axion Dark Matter Experiment, Jonah M. Sachs

Senior Honors Papers / Undergraduate Theses

The observation of axions could revolutionize the world of physics. Through microwave frequency cavity readout of the photons associated with these axions, the ADMX project at WashU utilizes multiple different forms of the Josephson junction (JJ), a superconductive circuit element. The physics behind the JJ are essential to understanding its operation for resonant cavity readout in addition to parametric amplification. Parametric amplifiers produced using JJs can approach the signal-to-noise ratio set by quantum mechanics, and prove essential for the amplification chain used by the ADMX experiment for axionic detection. The limits of these amplifiers are set by the noise tuning …

The Cost Of Creative Freedom: Comparing Aaa And Indie Game Development, Andrei Morgunov

ART 108: Introduction to Games Studies

The independent development model provides developers with creative freedom and personal fulfillment because it enables them to learn through hands-on experience while creating distinctive experiences and developing diverse skills. It provides them with both long-term ownership of their work and the chance to achieve remarkable success through their own efforts while allowing them to maintain direct communication with players who appreciate their creative output. The choice between AAA and indie depends on individual career goals, but developers who view games as more than just products of entertainment can find greater meaning in the indie path, Long-term triple-A developers who want …

Exploring The Role Of Artificial Intelligence In Higher Education: A Comparative Study On Grading Methods And The Technology Acceptance Model, Roberto Bello

AMTP Proceedings 2025

The integration of artificial intelligence (AI) and large language models (LLMs) like ChatGPT has transformed higher education, offering innovative solutions for personalized learning and grading. This study investigates students’ perceptions and acceptance of AI-assisted grading compared to traditional teaching assistant (TA) grading using the Technology Acceptance Model (TAM). The research explores how grading methods and exam formats influence key TAM constructs such as perceived usefulness, ease of use, and behavioral intentions. Findings suggest that mixed exam formats (70% multiple-choice, 30% short-answer) yield the highest acceptance rates for AI-assisted grading, emphasizing the importance of balanced assessment structures. The study highlights the …

Examining Net Promoter Score (Nps) For Recommending Products In Export Markets: A Case Of Turkish Products And Brands In The United States, Aycan Duran Tekoglu, Musa Pinar, Faruk Guder

AMTP Proceedings 2025

This study examines the Net Promoter Score (NPS) for recommending products in the export market by exploring the impact of various factors on NPS for Turkish products and brands in the United States. Specifically, the research considers factors that include industry or product categories, the information sources used to learn about the products, the years of purchasing, and consumer demographics. As a first study applying NPS in an international marketing context, the findings based on 427 surveys provided insights into the most purchased product categories, sources of information consumers use, NPS, and the impact of consumer demographics on NPS. Overall …

How Do College Students’ Regulatory Focus Shape Their Behavioral Outcome Towards Institutes Of Higher Education? The Role Of Cognitive Flexibility And Social Perceptiveness, Saurabh Singh, Sarath Nonis

AMTP Proceedings 2025

Colleges and Universities across the United States are witnessing a decline in overall freshman enrollments. The latest data suggests that in 2023 there was an overall decline in enrollment of 5% among first year incoming freshman students across the country (Wood, 2024). To generate favorable attitude among current or potential students, institutions of higher education have adopted the use of social media channels for communication with students (Perera et. al., 2023). Through this paper, we address the critical question of how institutes of higher education can maximize students’ commitment, sense of belonging, as well as positive word of mouth intentions …

A Dynamic Dna Cryptosystem For Secure File Sharing, Kanaan J. Brakas, Mafaz Alanezi

Mesopotamian Journal of CyberSecurity

The digital age relies heavily on file sharing, which has become more important with the increasing use of digital data and the Internet. Along with this increasing importance come major and widespread security issues, especially for files containing sensitive or vital data, such as those related to commercial, military, or healthcare sectors. The most common and effective way to protect the security and privacy of shared files containing sensitive information is still encryption. With the development of high-efficiency devices and massive processing capabilities, traditional encryption methods are increasingly under pressure from modern computer security threats, particularly quantum computing. This study …

A Systematic Review Of Metaverse Cybersecurity: Frameworks, Challenges, And Strategic Approaches In A Quantum-Driven Era, Hasan Ali Al-Tameemi, Ghadeer Ghazi Shayea, Mishall Al-Zubaidie, Yahya Layth Khaleel, Yahya Layth Khaleel, Noor Al-Huda K. Hussein, Raad Z. Homod, Mohammad Aljanabi, O. S. Albahri, A. H. Alamoodi, Maad M. Mijwil, Mohammed A. Fadhel, Iman Mohamad Sharaf, Mohanad G. Yaseen, Ahmed Hussein Ali, U. S. Mahmoud, Saleh M. Mohammed, A. S. Albahri

Mesopotamian Journal of CyberSecurity

This study aims to perform a detailed systematic review that investigates and synthesizes the available literature on the challenges and strategies in cybersecurity in the Metaverse. The methodology employed was to ensure a comprehensive literary analysis of the study methods, employing databases such as ScienceDirect (SD), Scopus, IEEE Xplore (IEEE), and Web of Science (WoS). The search was conducted by employing a query that would yield articles published until September 2024, resulting in a total of 325 papers. After vigorous screening, deduplication, and application of the inclusion and exclusion criteria, 34 studies were identified for quantitative synthesis. These papers were …

An Effective Feature Optimization Model For Android Malware Detection, Hussein K. Almulla, Hussam J. Mohammed, Nathan Clarke, Ahmed Adnan Hadi, Ahmed Adnan Hadi

Mesopotamian Journal of CyberSecurity

The rapid development of technology using Android-based smartphones has led to various threats of malware targeting these devices. Over time, android malware has become increasingly complex and challenging to mitigate. Detection relies on identifying specific sets of features that characterize malicious behavior, and these features have become increasingly complex and diverse as the complexity of malware has increased. Traditional approaches often suffer from high-dimensional feature spaces that increase the computational complexity and reduce the detection accuracy. Therefore, in this paper, a feature optimization approach is proposed that strategically selects the most informative malware features and discards redundant and noisy features …

Optimized Deep Learning Model Using Binary Particle Swarm Optimization For Phishing Attack Detection: A Comparative Study, El-Sayed M. El-Kenawy, Marwa M. Eid, Hussein Lafta Hussein, Ahmed M. Osman, Ahmed M. Osman

Mesopotamian Journal of CyberSecurity

Phishing attacks manipulate users to disclose critical information, resulting in cybersecurity risks. Traditional phishing detection algorithms usually have large false positive rates and poor feature selection, degrading performance. This paper presents an optimized phishing detection framework that integrates binary particle swarm optimization (BPSO)-based feature selection (FS) with deep learning models. Six deep learning architectures were evaluated on the selected feature subset to identify the most effective model for accurate phishing classification. BPSO was used to select suitable attributes on a public Kaggle dataset with 10,000 samples, comprising phishing and legitimate website data with 48 attributes. NumDots, UrlLength, IpAddress, and NoHttps …

Microphysics Regimes Due To Haze–Cloud Interactions: Cloud Oscillation And Cloud Collapse, Fan Yang, Hamed F. Sadi, Raymond Shaw, Fabian Hoffmann, Pei Hou, Aaron Wang, Mikhail Ovchinnikov

Michigan Tech Publications

It is known that aqueous haze particles can be activated into cloud droplets in a supersaturated environment. However, haze–cloud interactions have not been fully explored, partly because haze particles are not represented in most cloud-resolving models. Here, we conduct a series of large-eddy simulations (LESs) of a cloud in a convection chamber using a haze-capable Eulerian-based bin microphysics scheme to explore haze–cloud interactions over a wide range of aerosol injection rates. Results show that the cloud is in a slow microphysics regime at low aerosol injection rates, where the cloud responds slowly to an environmental change and droplet deactivation is …

Differential Treatment Effects On Β-Cell Function Using Model-Based Parameters In Type 2 Diabetes: Results From The Glycemia Reduction Approaches In Diabetes: A Comparative Effectiveness Study (Grade), Kristina M Utzschneider, Mark Tripputi, Nicole M Butera, Andrea Mari, Samuel P Rosin, Mary Ann Banerji, Richard M Bergenstal, Necole Brown, Anders L Carlson, Ralph A Defronzo, Michaela R Gramzinski, Tasma Harindhanavudhi, Alexandra Kozedub, William I Sivitz, Michael W Steffes, Ashok Balasubramanyam, Neda Rasouli

Faculty, Staff and Students Publications

Objective: To evaluate how model-based parameters of β-cell function change with glucose-lowering treatment and associate with glycemic deterioration in adults with type 2 diabetes (T2D).

Research design and methods: In the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE), β-cell function parameters derived from mathematical modeling of oral glucose tolerance tests were assessed at baseline (N = 4,712) and 1, 3, and 5 years following randomization to insulin glargine, glimepiride, liraglutide, or sitagliptin, added to baseline metformin. Parameters included insulin secretion rate (ISR), glucose sensitivity (insulin response to glucose), rate sensitivity (early insulin response), and potentiation. Linear mixed-effects …

Integrating Elementary Computer Science And Mathematics Instruction: One Size Does Not Fit All, Umar Shehzad, Jody Clarke-Midura, Mimi Recker

Publications

This paper presents a model, the double integration model, for integrating Computer Science (CS) and mathematics in upper elementary instruction. Fifth-grade students (n=1,037) participated either in the double integrated model (Condition 1; integrated in both CS and Math instruction) or integrated lessons only in CS instruction (Condition 2). After each lesson, students rated their enjoyment, perceived ease, and perceptions of CS-math connections. Multilevel analyses revealed that Condition 1 students reported significantly more positive perceptions and stronger CS-math connections of the lessons than Condition 2 students. Girls in Condition 1 responded more positively than boys on enjoyment and connection items, and …

Streamlining Field Note Analysis: Leveraging Gpt For Further Insights, Saríah López-Fierro, Umar Shehzad, Alireza (Sina) Zandi, Jody Clarke-Midura, Mimi Recker

Publications

As an integral part of qualitative research inquiry, field notes provide important data from researchers embedded in research sites. However, field notes can vary significantly, influenced by the researchers' immersion in the field, prior knowledge, beliefs, interests, and perspectives. As consequence, their interpretation presents significant challenges. This study offers a preliminary investigation into the potential of using large language models to assist researchers with the analysis and interpretation of field notes data. Our methodology consisted of two phases. First, a researcher deductively coded field notes of six classroom implementations of a novel elementary-level mathematics curriculum. In the second phase, we …