Digital Commons Network^™

Using Machine Learning To Improve Confidence In Lung Cancer Diagnosis, Sandra Channeary Khoun

McNair Scholars Research Journal

Health professionals must diagnose correctly to avoid unnecessary costs in care and medicine. Different conditions, come with different treatments. Therefore, it is key to produce the right diagnoses promptly to help treat people appropriately and quickly. As lung cancer is the leading cancer type in the world, it is often diagnosed too late once symptoms appear which becomes difficult to treat at certain stages. In the race against time, recruiting the use of machine learning next to traditional methods of diagnosing will improve the confidence of professionals to predict specific conditions accurately and with speed. For our research, we will …

Pixel: Ai Chatbot For Clear And Effective Senior Design Assistance, Asmin Pothula

2024 Fall Honors Capstone Projects - Archive

This research explores the development of an AI-driven chatbot named Pixel, specifically designed to assist Computer Science and Engineering Senior Design students by providing immediate, clear, and accurate responses to project-related queries. While my Senior Design project focuses on developing a "Senior Design Project Management Tool," my honors capstone project centers on developing Pixel and integrating it into both the project management tool and the CSE Senior Design Knowledge Base. Pixel leverages this knowledge base to offer guidance on tasks such as using lab equipment, performing technical procedures, and troubleshooting common issues, ensuring that students have swift access to relevant …

Natural Lighting As A Strategy For Sustainable Design, Grace Holdsworth

2024 Fall Honors Capstone Projects - Archive

Modern buildings are increasingly reliant on artificial light to illuminate interior spaces, decreasing the importance of natural light in architectural design. However, the adverse effects of climate change, catalyzing blackouts and rising energy costs, have made this reliance a significant issue. This study aimed to analyze the benefits of daylighting in architectural design and its ability to improve buildings’ sustainability. To examine the impact of sunlight on the perception of a space, a light box study model was constructed, and the interior was photographed periodically from sunrise to sunset. This study highlighted the dynamic quality of sunlight, and its ability …

Characterizing 2d Materials Using Positron Impact Induced Electron Spectroscopy And Development Of A Novel Thin Film Zno Based Piezo-Photonic Detector For Cryogenic And Mems Applications, Pratyanik Sau

2024 Fall Honors Capstone Projects - Archive

Surface analytical techniques are essential for engineering nano-detectors allowing characterization of their chemical composition, electromechanical properties, and physical structure. In the first chapter, the positron impact-induced secondary electron (PIISE) energy spectra and yield from single-layer graphene (SLG) and multi-layer graphene (MLG) grown on a polycrystalline Cu substrate have been presented. In the second chapter, an extensive catalog of Positron Induced Auger Spectra is presented to aid in the analysis of elemental composition of various materials. Additionally, in the third chapter, a novel detection scheme utilizing the piezo-pyroelectric properties of Zinc Oxide (ZnO) thin films have been demonstrated for its application …

Exchange Rate Harmonization Policy And Naira Exchange Rate Trajectories: A Scenario-Based Modelling For Policy Evaluation, Ibrahim S. Alley

CBN Journal of Applied Statistics (JAS)

This study employs Random Forest Regression to forecast the Naira/USD exchange rate trajectories after the implementation of the 2023 exchange rate harmonization policy under various scenarios. The forecast was implemented within a policy modeling and evaluation framework that leverages the Seasonal Autoregressive Integrated Moving Average model to predict exchange rate macro-drivers from historical data for the period 2008Q1-2022Q4. The study provides evidence that the harmonization policy would lead to appreciation of the Naira over the first forecast horizon (2023-2026) under specific scenarios. The effectiveness of the policy could further be enhanced when strategically combined with other macroeconomic policies such as …

The Role Of Family In Chinese Students’ English Language Learning And Key Suggestions, Bohui (Hollie) Liu, Jia Wei

University of South Florida (USF) M3 Publishing

This article examines the influence of Chinese families on their children’s English language learning, with a focus on the role of family support in shaping students’ English learning. Using Vygotsky’s Zone of Proximal Development (ZPD) as a theoretical framework, this article analyzes how family resources, emotional support, and parental expectations foster Chinese students’ motivation and language acquisition. By synthesizing current literature, this article reveals the impact of family socioeconomic status, parental involvement, and positive psychological support on students’ self-efficacy, motivation, and language proficiency. Additionally, it highlights the potential negative effects of high expectations and excessive pressure, which may lead to …

Preparing Effective Stem Communicators Through Focused Interventions, Sondra M. Miller, Carl F. Siebert, Lindsey Wiggins, Katherine L. Wright

University of South Florida (USF) M3 Publishing

Advancement of scientific knowledge is dependent on effective communication. It requires engineers and scientists to engage in well-grounded argumentation to establish and justify their claims. Educators must move beyond assignments that simply summarize or replicate established findings and begin to engage students in argumentation. This study had undergraduate students work in teams to identify topics for further scientific inquiry. They were tasked with making pitches as a tool for recruiting other students to their teams. It was realized that the engineering and computer science students involved with this project had not yet developed sufficient argumentation skills, which led a team …

Proceedings Of The Global Conference On Education And Research: Volume 5, Waynne B. James, Muhittin Cavusoglu, Cihan Cobanoglu

University of South Florida (USF) M3 Publishing

This is the fifth volume of the Global Conference on Education and Research Proceedings Series.

ISSN: 2572-6374

Black Separatism In Boston's Urban Environment, 1968-1988, Dylan O'Hara

Trotter Review

Article for Volume 23, Issue 2 of theTrotter Review.

Labeling Energy Drinks: Tackling A Monster Of A Problem, Meredith P. Mulhern, Michael S. Sinha

Journal of Food Law & Policy

Energy drinks first rose to popularity in the 1980s after the creation of Red Bull. In addition to high caffeine amounts, energy drinks often contain herbal stimulant additives, vitamin and mineral mixtures, and sugar. There is very little information available on the long-term effects of these stimulant mixtures on the body. Although many consumers purchase energy drinks because of their caffeine content, many are left in the dark when it comes to labeling transparency and are unaware of their true contents. Energy drinks are classified as dietary supplements, meaning they are not directly regulated by the FDA before hitting store …

Viking And Native North American Interactions: The Spread Of Disease In The Norse Discovery Of North America, Sarah N. Haughawout

Undergraduate Honors Capstone Projects

This paper evaluates the potential for spread of disease in the Norse and Native North American interactions around 1000 CE. At this time, the Vikings were expanding their territory in search of land and natural resources following the Viking Raids in mainland Europe. They traveled to Iceland, then Greenland, and finally the eastern coast of northern Canada. Norse explorers faced numerous obstacles on their journeys, but they still prospered in North America for a time. The Vikings hunted the land and sea mammals, used the land, and found ways to thrive while having hostile relations and contact with the Native …

Teaching Methods To Build The Numeracy Skills Of Preschoolers With Disabilities And Complex Communication Needs, Avery Briggs

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project explored the use of a curriculum that incorporates naturalistic and explicit instructional approaches through literature and direct teaching moments on the numeracy skills of three students with disabilities and complex communication needs. The numeracy skills targeted included patterning and sorting, shape discrimination, and quantity discrimination. This project took place during Extended School Year (ESY), a program that extends the traditional school year to provide services to students with disabilities. Student present levels and progress were assessed through a pretest and posttest given on the first and last days of ESY, in addition to progress monitoring data taken during …

Professional Portfolio: Assessment Of And Strategies For Improving A Middle School Student’S Mathematics Performance, Gwenyth O. Falck

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project explores strategies to help secondary students with disabilities improve their mathematics performance. With eighth-grade math scores trending downward and algebra serving as a critical gateway to higher education, target interventions are needed. The literature review highlights two main instructional methods: the Explicit Inquiry Routine (EIR) and the Concrete-Representational-Abstract Integration (CRA-I). Both incorporate physical and virtual manipulatives. These approaches have been shown to help students grasp algebraic concepts, retain what they have learned and apply the skills to new types of problems.

In addition to the research review, this paper includes assessment and intervention reports for a seventh-grade student …

Equivalent-Area Studies For Sonic Boom Loudness Mitigation On A Commercial Supersonic Aircraft Configuration, Zachary N. Foster

All Graduate Reports and Creative Projects, Fall 2023 to Present

Since the early 1970s, the FAA has banned commercial supersonic flight over populated areas. This ban has limited aerospace manufacturers’ and commercial aircraft companies’ ability to design and operate subsonic aircraft in their fleets. Since then, research has been conducted to understand the sonic boom and learn how to minimize its loudness. The work presented in this project report aims to use a 1D low-fidelity analysis to study the effect of perturbations to the outer mold line (OML) of a representative model of the N+2 Quiet Commercial Supersonic Concept Aircraft. Using a 1D analysis that employs an equivalent area method, …

Accelerating Heritability, Genetic Correlation, And Genome-Wide Association Imaging Genetic Analyses In Complex Pedigrees, Brian Donohue, Si Gao, Thomas E. Nichols, Bhim M. Adhikari, Yizhou Ma, Neda Jahanshad, Francis J. Mcmahon, Elizabeth M. Humphries, William Burroughs, John Blangero

School of Medicine Publications

National and international biobanking efforts led to the collection of large and inclusive imaging genetics datasets that enable examination of the contribution of genetic and environmental factors to human brains in illness and health. High-resolution neuroimaging (~104–6 voxels) and genetic (106–8 single nucleotide polymorphic [SNP] variants) data are available in statistically powerful (N = 103–5) epidemiological and disorder-focused samples. Performing imaging genetics analyses at full resolution afforded in these datasets is a formidable computational task even under the assumption of unrelatedness among the subjects. The computational complexity rises as ~N2–3 (where N is the sample size), when …

Validation Of Human Telomere Length Multi-Ancestry Meta-Analysis Association Signals Identifies Pop5 And Kbtbd6 As Human Telomere Length Regulation Genes, Rebecca Keener, Surya B. Chhetri, Carla J. Connelly, Margaret A. Taub, Matthew P. Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, John Blangero

School of Medicine Publications

Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of …

Exploratory Learning In Two Modalities: Tabular Vs Graphical., Lianda Velic

Electronic Theses and Dissertations

In traditional educational settings, an instructor delivers a lecture prior to providing students a practice activity. Exploratory learning reverses this order to encourage active learning and engagement, typically improving learning outcomes. However, more research is needed in order to determine how to optimally design exploratory learning materials, and how differences in such design impact learning processes and outcomes. The current study investigated the impact of instructional order and activity modality type (tabular or graphical) on learning outcomes. Undergraduate students (N=252) were taught the statistical concept of consistency and the formula to compute standard deviation. In the instruct-first condition, …

Ai-Driven Approach For Diagnosis Of Renal Transplant Rejection Based On Biomarkers Identification And Integration., Israa Sharaby

Electronic Theses and Dissertations

They kidney is a vital organ for which humans are fortunate to find a spare through transplantation to sustain critical body functions, offering a hope to those struggling with renal failure. Kidney transplant procedure is the optimal treatment for people who suffer from end-stage renal failure. However, there are posed challenges due to the risk of immune rejection and the limited availability of donors. Early detection of renal rejection can provide timely intervention and accurate diagnosis that are critical to improve the transplant outcomes. This study explores the innovative approaches for addressing the current challenges through biomarkers identification, imaging techniques, …

Toward An Urban Food Commons: Participatory Action Research On Food Apartheid And Community-Based Agrifood System Governance In Louisville, Ky., Mary Abigail Rudolph

Electronic Theses and Dissertations

This dissertation investigates the structural inequities fueling food apartheid in Louisville, Kentucky’s agrifood system and explores community-based governance as a path toward food justice. Through a participatory action research (PAR) framework, this study combines participatory geographic information systems (PGIS), focus groups, and autoethnography to engage directly with affected community members and collaborate with the Food in Neighborhoods (FIN) coalition. By prioritizing the voices of those most impacted by food insecurity, this research offers contributions to the fields of food justice, participatory governance, and urban food commons. The study situates Louisville’s food access issues within the broader neoliberal global agrifood system, …

Understanding Carceral Pathways And Outcomes Of Marginalized Adults Who Use Drugs., Carmen Renee Mitchell

Electronic Theses and Dissertations

This dissertation is an examination of outcomes among substance users at various stages of the incarceration process divided among five chapters. Chapter One provides an overview of substance use disorder (SUD), incarceration, and wider justice system-involvement, and explores how the political economy of health theoretical framework can be applied to examine how the criminal justice system creates and perpetuates inequality among marginalized people who use substances. Chapter Two examines post-release health outcomes among the population of incarcerated people who use substances using a scoping review and finds that people in reentry with SUD have poorer overall outcomes that without transitional …

Assessment Of Gender Differences In Letters Of Recommendation For Physical Therapy Residency Applications, Darren Q Calley, Sunyang Fu, Marissa D Hamilton, Austin W Kalla, Christopher K Lee, Veronica A Rasmussen, John H Hollman, Hongfang Liu

Faculty, Staff and Student Publications

Introduction: Letters of recommendation (LOR) are an integral component of physical therapy residency applications. Identifying the influence of applicant and writer gender in LOR will help identify whether potential implicit gender bias exists in physical therapy residency application processes.

Review of literature: Several medical and surgical residency education programs have reported positive, neutral, or negative LOR female gender bias among applicants and writers. Little research exists on gender differences in LOR to physical therapy education programs or physical therapy residency programs.

Subjects: Seven hundred sixty-eight LOR were analyzed from 256 applications to 3 physical therapy residency programs (neurologic, orthopaedic, sports) …

Pathway-Based Clustering Identifies Two Subtypes Of Cancer-Associated Fibroblasts Associated With Distinct Molecular And Clinical Features In Pancreatic Ductal Carcinoma, Hongjing Ai, Rongfang Nie, Xiaosheng Wang

Faculty, Staff and Student Publications

Existing single-cell clustering methods are based on gene expressions that are susceptible to dropout events in single-cell RNA sequencing (scRNA-seq) data. To overcome this limitation, we proposed a pathway-based clustering method for single cells (scPathClus). scPathClus first transforms single-cell gene expression matrix into pathway enrichment matrix and generates its latent feature matrix. Based on the latent feature matrix, scPathClus clusters single cells using the method of community detection. Applying scPathClus to PDAC scRNA-seq datasets, we identified two types of cancer-associated fibroblasts (CAFs), termed csCAFs and gapCAFs, which highly expressed complement system and gap junction-related pathways, respectively. Spatial transcriptome analysis revealed …

Composition Studies At The Us-Mexico Border, José Luis Cano

Writing and Language Studies Faculty Publications

This essay discusses the conflict a compositionist from the US-Mexico border encounters in teaching composition amidst migration. Through autohistoriando, the author shares his experiences inside and outside of the composition course at this border to analyze and respond to this conflict.

Using Luminescence Dating To Investigate Geomorphic And Archaeologic Features At The Wiggins Fork Bison Jump Complex, Northwestern Wyoming, Emma T. Krolczyk

All Graduate Theses and Dissertations, Fall 2023 to Present

The Wiggins Fork Bison Jump Complex, located in northwestern Wyoming, is comprised of thousands of human-placed rock piles, known as cairns, that were placed within lines to form an extensive network of drivelines and funnels leading to cliffs or steep slopes. These archaeological features were used by Native Americans as a bison hunting method, where the animals were driven off cliffs for harvest. This research uses luminescence dating, which determines when sediment was last exposed to sunlight, to date the timing of driveline construction and the deposition ages of the underlying river deposits.

Research focused on Jump #4, which had …

Effect Of Pilot Mental Health On Passenger Willingness To Fly, Isabella L. Deloach, Sara E. Bergamini, Dowon Choi, Brooke Wheeler, Vivek Sharma

Aeronautics Student Publications

This study explored how passengers' willingness to fly is affected by the mental health condition of pilots, providing insight into public perception of the mental health condition of pilots. Results showed significant differences between all scenarios except the medication scenario vs. therapy scenario.

Finite-Time Control Strategies For Rendezvous And Proximity Operations, John Tamotsu Akagi

All Graduate Theses and Dissertations, Fall 2023 to Present

One common metric to use when designing a controller is the time that the system will take to reach the desired state. Unfortunately, many approaches to developing controllers only guarantee that the system will approach, but not exactly reach, the desired state. This can become a limitation in time-sensitive situations where rapid and complete convergence is necessary. One group of control methods, known as finite-time control, does guarantee both faster convergence and that the desired state will be reached, but often fails to define exactly what time that will occur, how much control will be used to get there, and …

Quantifying The Impact Of Rain-On-Snow Induced Flooding In The Western United States, Emma M. Watts

All Graduate Theses and Dissertations, Fall 2023 to Present

Serious flooding can happen when rain falls on snow, which we call a rain-on-snow (ROS) event. Increasing our understanding of the behavior of floods resulting from ROS events can help us design better systems to manage flood water and prevent it from causing damage. This thesis explores how ROS events affect streamflow in the Western United States by examining the weather conditions that precede a streamflow surge. We classify stream surges as ROS or non-ROS induced based on these weather conditions, which helps us separate floods caused by ROS events from those caused by other factors. By comparing these different …

Development Of A Subsurface Water Velocity And Quality Measurement Payload For Suas, Mitchell Bailey

All Graduate Theses and Dissertations, Fall 2023 to Present

Aquaculture farms, like oyster farms, often use outdated techniques to measure the quality of their waters. These techniques are often stationary or are deployed by an operator who may struggle to reach a location depending on conditions like the presence of a storm or low tide. This creates data sets with gaps over time and across the area of the farm, meaning the data cannot be used to model the standard farm conditions. An Uncrewed Aerial System (UAS) payload is developed in this paper that is capable of measuring depth-velocity profiles through the use of a tethered velocity sensor. The …

Interpretable And Robust Deep Anomaly Detection, He Cheng

All Graduate Theses and Dissertations, Fall 2023 to Present

Anomaly detection is crucial in fields like cybersecurity, healthcare, and finance, as it helps identify unusual or potentially harmful events in data. With the rise of deep learning, advanced models have been developed for anomaly detection, but they often operate as "black boxes" that lack transparency and can be susceptible to malicious attacks. My research addresses these issues by creating methods that make deep learning-based anomaly detection more understandable and by investigating how such models can be compromised by backdoor attacks.

To improve transparency, I propose three methods that explain how these models detect anomalies. The first method, called Anomalous …

Systematic Review On The Use Of Self-Monitoring Interventions With Adhd/Asd Students In School Settings, Sari Christensen

All Graduate Theses and Dissertations, Fall 2023 to Present

This systematic literature review was done to determine characteristics and descriptive analysis of the use of self-monitoring behavior interventions (SMI) with students in the educational setting who are diagnosed with ASD/ADHD. The objective was to create resources for future practitioners and interventionists to direct future use of SMI in schools and identify areas of study needed. Behavior interventions are often used to support students with disabilities to access their education in a school setting. Individuals diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD) are included in this population. A type of behavior using the analysis of …