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Articles 203791 - 203820 of 5167462
Full-Text Articles in Entire DC Network
Cattle Health Changes Before, During, And After Parturition, Greta Bergman
Cattle Health Changes Before, During, And After Parturition, Greta Bergman
Undergraduate Research Conference
No abstract provided.
Exploring Graphs And Chromatic Symmetric Functions, Olivia Payne
Exploring Graphs And Chromatic Symmetric Functions, Olivia Payne
Undergraduate Research Conference
We consider graphs with a small number of vertices and analyze the coefficients of hook partitions of their chromatic symmetric function, which is a generalization of the chromatic polynomial of a graph. Some of these coefficients can hold information about the graphs themselves and, in this research, we find a combinatorial formula for coefficients of hook partitions. This research is motivated by Stanley's Tree Conjecture.
Analyzing The Special Supplemental Nutrition For Women, Infants, And Children (Wic) In Texas, Misty Ledesma
Analyzing The Special Supplemental Nutrition For Women, Infants, And Children (Wic) In Texas, Misty Ledesma
Undergraduate Research Conference
This research explores food insecurity and how WIC addresses nutritional risks in Texas. It examines past and present efforts, policy gaps, and potential improvements to enhance WIC's effectiveness.
Antioxidant Properties Of Phytochemicals In Watercress And Mint Extracts In Serum Albumin, Perla Tovar
Antioxidant Properties Of Phytochemicals In Watercress And Mint Extracts In Serum Albumin, Perla Tovar
Undergraduate Research Conference
Hypothesis: Phytochemicals present in mint and watercress help stabilize protein under oxidative stress. Main Objective: Analyze the interaction of HSA with different phytochemicals present in mint extract.
Regression: Skill For Salary, Lani Berg
Regression: Skill For Salary, Lani Berg
Undergraduate Research Conference
No abstract provided.
Debt Analysis And Evaluation, Anh Nguyen
Debt Analysis And Evaluation, Anh Nguyen
Undergraduate Research Conference
Abstract: The household debt dynamics in the United States have been influenced by some socio-demographic factors. This study examines the socio-demographic factors by using a dataset of 15,000 households from the 2019 Survey of Consumer Finances. The research analyzes determinants including age, education, marital status, college level, race, kids, job, rent, knowledge, willingness to take financial risks, financial literacy, and the total value of a checking account.
The Harsh Realities Of Opera Houses And The Continual Popularity Of Minstrelsy In Terrell, Texas, Rebecca Jestis
The Harsh Realities Of Opera Houses And The Continual Popularity Of Minstrelsy In Terrell, Texas, Rebecca Jestis
Undergraduate Research Conference
In Terrell, Texas, five different opera houses operated from 1878 to 1910. Sources paint the earlier opera houses with rowdy audiences and scandalous performances, a reflection of early pioneer mentality. Later opera houses, all owned by the elite and well-known businessmen of Terrell, may have offered more popular and professional productions, but the most prominent of these were minstrel shows. With evidence of minstrelsy's fierce continuation in Terrell's society up until the 1950s, the study of the opera houses not only illuminates the growing racial tensions and complexities but also the normalization of minstrel shows and blackface for decades after …
Understanding Ai’S Potential In Creativity And Research, Chloe Albrecht, Natalie Pradia
Understanding Ai’S Potential In Creativity And Research, Chloe Albrecht, Natalie Pradia
Undergraduate Research Conference
We experimented with artificial intelligence (Al) to better understand its limitations, guiding principles, and ethical impacts in creative and academic research and writing. Our project's purpose was to explore if Al can only harm creative endeavors and should therefore remain separate from the arts. Our methodology involved prompting and re-prompting to compose a variety of texts, demonstrating that the use of Al for creative and academic works can involve critical thinking. This process included giving the Als broad-scope prompts and narrowing in on specific tasks with repetitive re-prompting. We applied this method to writing, gathering resources, and providing enough background …
The Role Of Internet Liberation In Securing Human Rights, Briley Smith
The Role Of Internet Liberation In Securing Human Rights, Briley Smith
Undergraduate Research Conference
No abstract provided.
Automatic Weather Observing System, Amielia Beam
Automatic Weather Observing System, Amielia Beam
Undergraduate Research Conference
No abstract provided.
Building Compassion And Connection: A Case Study Of Humane Education Through Middle Level Book Club Experiences, Kennedy Barnhouse
Building Compassion And Connection: A Case Study Of Humane Education Through Middle Level Book Club Experiences, Kennedy Barnhouse
Undergraduate Research Conference
This case study explores the impact of a humane education-focused book club on middle level students' understanding of humane education principles and solutionary thinking. The study found that participation in the book club increased students' understanding of humane education and boosted their confidence in addressing societal challenges, suggesting that book clubs can effectively foster empathy, ethical reasoning, and social responsibility in middle level students.
The Effects Of Leadership On College Student Well-Being, Kate O. Middleton
The Effects Of Leadership On College Student Well-Being, Kate O. Middleton
Undergraduate Research Conference
• Student leaders play an important role on college campuses • However, they can also face increased pressures that may impact their psychological well-being • The purpose of this study was threefold: 1. A purposive sample of student leaders was examined and their investment and satisfaction with their positions were assessed 2. Students' leadership investment was correlated with a variety of psychological variables (i.e., life satisfaction, impostorism) 3. Student leaders were compared to a sample of non-leaders to examine the specific psychological variables on which leaders and non-leaders differ
The Impact Of Ut System Branding On Stephen F. Austin State University, Kynlie Foit, Isabel Jedmears, Ian Lahera
The Impact Of Ut System Branding On Stephen F. Austin State University, Kynlie Foit, Isabel Jedmears, Ian Lahera
Undergraduate Research Conference
The research will assist SFA in assessing the impact of joining the UT System and provide insight into how SFA can better align with the UT x SFA brand among the community and students.
The Ethics Of Ai In Wealth Management, Vivian Bivens, Kailey Fischer
The Ethics Of Ai In Wealth Management, Vivian Bivens, Kailey Fischer
Undergraduate Research Conference
This paper examines the ethical implications of AI in wealth management by analyzing regulations from international and national securities bodies and evaluating how firms implement AI responsibly. While current regulations are not perfect, they generally promote ethical AI use, and firms are actively working to reduce biases and enhance data security.
Astronaut And Bubbles: Representing Speech Disability Through Art, Susana De La Paz
Astronaut And Bubbles: Representing Speech Disability Through Art, Susana De La Paz
Undergraduate Research Conference
Purpose: The Astronaut's dialogue was intentionally written to highlight speech impairments, a challenge I have personally faced in my life. Growing up, I struggled with articulating certain speech sounds and found it disheartening that children's books rarely featured characters with speech disabilities. This book aims to provide comfort and visibility to children who face similar challenges.
Opposites: Poetry/Design Collaboration, Susana De La Paz, Rebekah Glasgow
Opposites: Poetry/Design Collaboration, Susana De La Paz, Rebekah Glasgow
Undergraduate Research Conference
No abstract provided.
Digital Comic Book Creation, Austin Pena
Digital Comic Book Creation, Austin Pena
Undergraduate Research Conference
No abstract provided.
Neotropical Catfish Diversity In Rivers Of The Guiana Shield: A Combined Approach Using Taxonomic, Functional, And Isotopic Tools, Joseph Sheffield
Neotropical Catfish Diversity In Rivers Of The Guiana Shield: A Combined Approach Using Taxonomic, Functional, And Isotopic Tools, Joseph Sheffield
Undergraduate Research Conference
Rivers of the Guiana Shield in South America are very heterogenous, containing a mosaic of habitats and environmental characteristics ideal for maintaining high freshwater biodiversity. The connection between the Essequibo and Amazon rivers via the Rupununi River during the wet season plays an important role for the great diversity of Neotropical ichthyofauna. Neotropical catfishes (Siluriformes) are the second most diverse group of freshwater fishes, after the Characiformes. They span a wide range of body sizes and exhibit diverse trophic specializations, making them ideal organisms for studying the influence of body size variation on community organization and ecosystem function. We explored …
Grp-082 Ready Cluster One: Optimizing Film Success With Data Science, Mohsin Md Abdul Karim, Joseph Richardson
Grp-082 Ready Cluster One: Optimizing Film Success With Data Science, Mohsin Md Abdul Karim, Joseph Richardson
C-Day Computing Showcase
This study presents a novel approach to predicting and optimizing screenplay investments by combining graph theory and finite mixture modeling (FMM) techniques. We construct a k-partite graph representing movies, genres, subgenres, production companies, directors, actors, and directors of photography, to explore the interconnectedness between these entities. Using FMM, we identify clusters within budget tiers, enabling a deeper understanding of how similar films perform based on their creative team and production characteristics. By balancing profit potential with risk-adjusted profit, the model suggests the most viable budget tiers for unproduced screenplays. This approach incorporates confidence intervals and evaluates the accuracy of budget …
Gc-074 Real-Time Object Detection, Rohit Malik
Gc-074 Real-Time Object Detection, Rohit Malik
C-Day Computing Showcase
This project explores the implementation of real-time object detection using the You Only Look Once (YOLO) architecture. Leveraging its speed and accuracy, we developed a system capable of identifying and localizing multiple objects within live video streams. Our implementation focused on optimizing YOLO's performance for real-time applications, specifically addressing the trade-off between speed and accuracy. We employed a pre-trained YOLO model and fine-tuned it on a custom dataset tailored to specific object classes. This fine-tuning process aimed to enhance the model's ability to recognize objects in our target environment. The system was implemented using Python and the OpenCV library, enabling …
Gc-079 Nibbleai, Ryan Deem, Zeynep Birgili, Austin Cook
Gc-079 Nibbleai, Ryan Deem, Zeynep Birgili, Austin Cook
C-Day Computing Showcase
Ever looked into your fridge or pantry and wondered, “What can I make with this?” NibbleAI is a mobile app designed to solve exactly that. Using artificial intelligence, the app identifies ingredients from user-uploaded images and suggests recipes based on what’s available. Built with React Native and powered by a DenseNet169 model for image recognition, NibbleAI seamlessly analyzes photos and returns curated recipe ideas — all within a few taps. This intuitive approach helps users reduce food waste, save time, and get creative with the ingredients they already have.
Grm-076 Assessing The Performance Of Intelligent Agents In Visual Food Recognition Relative To Manual Data Entry, El Arbi Belfarsi, Henry Ekeocha
Grm-076 Assessing The Performance Of Intelligent Agents In Visual Food Recognition Relative To Manual Data Entry, El Arbi Belfarsi, Henry Ekeocha
C-Day Computing Showcase
Accurate dietary assessment remains a critical yet time-consuming task in health and nutrition monitoring. This study benchmarks the macronutrient estimation capabilities of three intelligent vision agents: GPT Vision, Claude, and Gemini against manually logged food data. We unify two distinct datasets: MenuMatch, annotated by a professional nutritionist, and CGMacros, populated through user entries on MyFitnessPal. After flattening and cleaning both datasets, we first assess each model’s performance in calorie estimation. GPT Vision outperforms the others with the lowest percentage error 13.83% and is subsequently used to benchmark the macro estimations of Claude and Gemini. While Claude shows higher carbohydrate and …
Grm-109 Quantum Machine Learning For Science And Engineering Research, Andrew Polisetty
Grm-109 Quantum Machine Learning For Science And Engineering Research, Andrew Polisetty
C-Day Computing Showcase
This research project aims to understand and explore the practical applications of Quantum Machine Learning (QML) in solving real-world challenges. By comparing classical machine learning models such as Support Vector Machines (SVM), Neural Networks, Logistic Regression, and Naive Bayes, with their quantum counterparts. Quantum Support Vector Machines (QSVM), Quantum Neural Networks (QNN), Quantum Logistic Regression (QLR), Quantum Deep Neural Networks (QDNN), and Hybrid Quantum Models, we gain hands-on experience in advanced machine learning techniques. The project cover diverse domains including cybersecurity, healthcare, industrial engineering, energy management, and supply chain optimization. Each part of project involves working with real-world datasets, preprocessing, …
Grp-021 Shap-Explainable Image-To-Topology Regression, Charles Fanning
Grp-021 Shap-Explainable Image-To-Topology Regression, Charles Fanning
C-Day Computing Showcase
We evaluated whether deep regression models predicting vectorized topological features (in the form of persistence landscapes) actually learn the underlying persistent homology of the image. A DenseNet-121 is trained to regress 300-dimensional persistence landscapes from grayscale scene images. Using SHAP, we evaluate the contribution of pixels in the original images to the persistence landscapes. Across all six classes, SHAP-feature overlap is consistently lower than the baseline, implying that DenseNet may not be truly learning the underlying persistent homology.
Uc-040 Security Lookup Interface Project, Alhasan Mohsen, Alejandro Albarran, Ethan Lan, Jerrat Jester
Uc-040 Security Lookup Interface Project, Alhasan Mohsen, Alejandro Albarran, Ethan Lan, Jerrat Jester
C-Day Computing Showcase
The "Security Lookup Interface" capstone project aims to create a streamlined tool for COX's cybersecurity team, enabling analysts to efficiently perform IP address and hostname lookups while providing actionable, data-driven insights to enhance security investigations. The project will develop a user-friendly interface that simplifies the lookup process, allowing cybersecurity analysts to quickly retrieve relevant data and make informed decisions during security investigations. One of the key features of the tool is its seamless integration with both internal APIs and external resources. This integration will ensure that analysts have quick and easy access to valuable information, minimizing manual effort and enabling …
Uc-049 From Forecast To Fortune: Portfolio Optimization And Prediction, Nia Taylor
Uc-049 From Forecast To Fortune: Portfolio Optimization And Prediction, Nia Taylor
C-Day Computing Showcase
This project explores the intersection of time series forecasting and portfolio optimization to support data-driven investment strategies. Historical price data from 30 individual stocks was analyzed using two forecasting models: ARIMA and Prophet. Each model’s performance was evaluated using key accuracy metrics, including Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE), and Mean Directional Accuracy (MDA). Results showed that ARIMA performed better on error-based metrics, while Prophet excelled at predicting directional trends. In parallel, historical return data was used to construct optimized portfolios using Modern Portfolio Theory. Two strategies were implemented: one minimizing overall volatility and another maximizing …
Ur-001 Large Language Model Enabled Mental Health App Recommendations Using Structured Datasets, Kris Prasad
Ur-001 Large Language Model Enabled Mental Health App Recommendations Using Structured Datasets, Kris Prasad
C-Day Computing Showcase
The increasing use of large language models (LLMs) in mental health support neces-sitates detailed evaluation of their recommendation capabilities. This study compares four modern LLMs—GPT-4o, Claude 3.5 Sonnet, dataset-enhanced Gemma 2, and dataset-enhanced GPT-3.5-Turbo—in recommending mental health applications. We constructed a structured dataset of 55 mental health apps using RoBERTa-based sentiment analysis and keyword similarity scoring, focusing on depression, anxiety, ADHD, and insomnia. Standard LLMs emonstrated inconsistent accuracy and often relied on outdated or generic information. In contrast, our retrieval-augmented generation (RAG) pipeline enabled lower-cost models to achieve 100% accuracy, compared to baseline models (GPT-4o at 45% and Claude at …
Uc-116 Robot Tactics, John Anderson
Uc-116 Robot Tactics, John Anderson
C-Day Computing Showcase
Robot Tactics is a first person strategic shooter made in Unity where the player takes control of an agent who fights off bodyguards who are chasing him while using Robots to detour them
Ur-094 Aistudy: Using Ai To Study Ai, Mason Pederson
Ur-094 Aistudy: Using Ai To Study Ai, Mason Pederson
C-Day Computing Showcase
Interactive AI studying tool or AIStudy is a flask-based web-app which enables users to quickly search, save, and study scientific papers. AIStudy streamlines the literature review process by utilizing large language models (LLMs) allowing for users to engage with research in a creative and interactive way. To begin with a user searches up papers using the arXiv API and PyMuPDF for scraping the contents. These are saved to a user database managed by SQL Alchemy. The user can then ask a chatbot about one or more papers at a time through Ollama’s API in order to produce Retrieval-Augmented Generated (RAG) …
Gc-008 Medivault: An Ai-Powered Secure Medical Image Sharing Platform, Henry Ekeocha, Reginald Calixte, Dhruv Patel
Gc-008 Medivault: An Ai-Powered Secure Medical Image Sharing Platform, Henry Ekeocha, Reginald Calixte, Dhruv Patel
C-Day Computing Showcase
MediVault is a secure, cloud-native platform that empowers patients and healthcare providers to upload, view, and share medical images like X-rays and MRIs with confidence. Built using Next.js and Node.js, and deployed on AWS Free Tier (S3, RDS, KMS), the system implements role-based access, two-factor authentication, and end-to-end encryption to ensure privacy and HIPAA compliance. MediVault features an intuitive interface and integrates AI-enhanced automation to streamline metadata tagging and detect potential anomalies in scans. Designed for scalability, usability, and compliance, this project showcases real-world expertise in full-stack cloud development and healthcare cybersecurity.