Digital Commons Network^™

Depression Among College Students: Differences By Race, Generation Status, And Their Intersection, Kenzie Thomas

Symposium of Student Scholars

Previous research has shown that depression can negatively impact college students. Yet, there is a major gap in the literature regarding differences in depression among college students by race, generation status, and their intersection. One study demonstrated that first-generation college students (FGCS; neither parent obtained a college degree) experience higher levels of depressive symptoms compared to continuing-generation college students (CGCS; at least one parent obtained a college degree). Similarly, another study found that African American college students endure more experiences of hopelessness and depression than their counterparts. Still, this evidence is scant, and there remains little research on depression as …

Daylighting In Buildings: Investigating The Relationship Between Daylight Levels And Building Compactness In Various Contemporary Architectural Types. [Efficient Typology Classification], Andrew Welch, Ermal Shpuza Phd

Symposium of Student Scholars

One of the key ways of improving the energy efficiency of a building is to enhance the daylight levels and reduce the need for artificial lighting. Good daylight levels are also associated with increased productivity and the well-being of a building's occupants. Daylight levels are often a direct function of the floorplate depth, where locations near the windows receive more daylight, and those deep inside the buildings receive less. As a result, shallow floorplates and elongated buildings are usually related to higher daylight levels. However, shallow buildings that have more natural light are also associated with greater construction costs due …

Advancements In South Korea's Multilingual And Multicultural Initiatives: Perspectives From Bilingual Immigrant Coaches And Korean Government Officials Working In Health Family Support Centers, Seongyo Gwon, Jayoung Choi

Symposium of Student Scholars

Health Family Support Centers in South Korea play a pivotal role in promoting multilingualism and multiculturalism in South Korea that practices Korean-only assimilation policies. With an increased influx of multicultural immigrants, these centers provide assistance and services to immigrants. These centers also serve as a hub for both immigrants who have gained proficiency in the Korean language and culture also work there as bilingual coaches and translators, and dedicated Koreans fostering cultural harmony. Thus, it is crucial to examine experiences and perspectives of employees striving for immigrant equity in South Korea at these centers.

This study explores the perspectives and …

Pregnancy Behind Bars: Exploring The Impact Of Incarceration On Prenatal And Postnatal Care For Female Inmates, Caitlin Callahan, Anisah Bagasra, Meghan Bankhead

Symposium of Student Scholars

Incarcerated women have a constitutionally protected right to obtain appropriate medical care. Past research has found that “38 states had inadequate or no prenatal care in their prisons” (NWsLC, 2010). A report from The US Department of Justice states that “46% of pregnant imprisoned women reported they received no pregnancy care” (Maruschak, 2008). There is a gap in the literature of analyzing primary accounts of pregnant inmates. The current study is investigating the interaction of incarceration and the available care and quality of care given to female inmates in American correctional institutions. This study is comprised of a qualitative video …

Mosaic Swarm Robotics: Emulating Natural Collective Behaviors For Efficient Task Execution With Custom Mobile Robots, Jonathan Ridley, Arielle Charles, Charles Koduru, Muhammad Hassan Tanveer, Razvan Voicu

Symposium of Student Scholars

Mosaics, as an artistic expression, involves the meticulous arrangement of diverse tiles to form a unified composition. Drawing inspiration from this concept, the field of swarm robotics seeks to emulate nature’s collective behaviors observed in ant colonies, fish schools, and bird flocks, employing multiple agents to accomplish tasks efficiently. Our research explores the concept of mosaic swarm robotics, where numerous nodes with specialized functions are deployed across various domains, including applications for outdoor data capture and environment mapping. We utilized custom mobile robots operated by Raspberry Pi microcontrollers. By establishing an elaborate web of client-to-client communications to enable true localized …

Bridging The Epochs Of Ledoux And Da Vinci, Nancy Sanchez, Ehsan Sheikholharam Ma

Symposium of Student Scholars

Undergraduate Student: Nancy Sanchez

Research Mentor(s): Ehsan Sheikholharam Mashhadi

Bridging the Epochs of Ledoux and Da Vinci

From two different periods of time, Claude-Nicholas Ledoux and Leonardo Da Vinci have transformed the history of architecture and art. Their work has helped shape the two eras they were a part of. Leonardo Da Vinci was from the 16th century and was coined as the ‘Italian Polymath of the High Renaissance era’, due to his extensive knowledge in engineering, painting, architecture, and science. Claude-Nicolas Ledoux was an 18th century neoclassical architect from France. Ledoux produced architecturally innovative work that influenced social changes …

Spatial Associations Of Lung Cancer Rates And Socioeconomic, Health, And Environmental Factors In Georgia, Nguyet Le, Jun Tu

Symposium of Student Scholars

According to CDC, Lung and Bronchus Cancer ranks the highest by the rate of cancer deaths among different types of cancers in the United States with the rate of 31.8 per 100 thousand people, and also for Georgia with the rate of 33.4 per 100 thousand people. Thus, to reduce the death rate of lung cancer, it is quite important and urgent to understand its risk factors. Smoking and inhaling radon are among the top risk factors of lung cancer for individuals. The socioeconomic, health, and environmental characteristics of communities might be also related to the likelihood of getting …

Loneliness And Parental Relationships Among College Students, Alanna James, Charlie Barna

Symposium of Student Scholars

The transition to adulthood is a unique developmental period that involves rapid changes in youths’ individual development and social contexts, which can involve leaving behind familiar support networks (Eeske et al,. 2015). Common experiences during the transition to adulthood, like leaving home, pursuing college, and entering the workforce can leave individuals feeling marginalized and cutoff (Mathews et al,. 2022). Loneliness is a subjective feeling experienced by individuals in all age demographics (Matthews et al,. 2022). Despite a wide array of research on social connectedness interventions for older adults and people with physical disabilities (Zagic et al,. 2021), there is little …

The Role Of Sense Of Purpose In Health Navigation Among Marginalized Older Adults, Ameesha Narine

Symposium of Student Scholars

A sense of purpose is a central, self-organizing life aim that guides choices and behaviors (Lewis, 2020; Mcknight & Kashdan 2009). In older adulthood, having a sense of purpose is linked with positive health (Musich et al., 2018; Lewis & Hill, 2021). Understanding how older adults who identify as socially marginalized (e.g., racially/ ethnically diverse, LGBTQ+) leverage purpose to navigate their health, for example, when setting health values, making health decisions, or adapting to health challenges may support the development of tailored resources to combat social disparities embedded in healthcare systems. This study used qualitative thematic analysis (Braun & Clarke, …

Generating Channel Morphology Data Through Arcgis Pro, Ethan Manigbas

Symposium of Student Scholars

River cross-sections are often extracted using field surveys at measured intervals. This field-oriented approach allows for a tangible relationship between the data and its collector but at the expense of finance, time, labor, and potentially the environment. With the advancement of geospatial tools, such data can be found online, extracted, and even analyzed with contemporary Geographic Information Systems (GIS) in a completely virtual setting, transcending the need for fieldwork in select project topics. We tested this approach with the help of ArcGIS Pro software on the Vishnu Springs headwater stream located in the Western Illinois region of the Upper Mississippi …

Biomechanical Differences In Crawling Between Typically Developing Infants And Infants With Limb Loss, Feby Takawy, Larissa Brehm, Analise Oliver, Mark Geil

Symposium of Student Scholars

INTRODUCTION: In 2022, the Centers for Disease Control and Prevention published updates to their checklists for the milestones children should achieve during typical development, and removed crawling entirely, citing a lack of normative data, inconsistent definitions, and variability timing of crawling onset (1,2). This project collected normative kinematic and spatiotemporal data on typically developing (TD) crawling infants and crawlers with limb loss (LL).

METHODS: Eleven TD infants were assessed every two weeks between onset of crawling and transition to walking. Six LL infants were assessed once without the use of a prosthesis. Infants crawled on a pressure-sensing mat that was …

The Impact Of Student Stress On Physical Wellbeing, Isabelle Fevrier

Symposium of Student Scholars

This study will explore the intricate relationship between student stress and its impact on physical health. It will explore how stressors such as academic pressures, jobs, and lengthy commutes impact physiological manifestations and various aspects of physical well-being in students. The literature this research builds upon is diverse, ranging from in-depth looks at how the body responds to stress, such as the actions of the brain when under stress, to how stress causes disturbances in sleep, diet, and physical activity. For this specific research, physical health will be defined as sleep schedule, frequency of sickness, and daily fatigue. There will …

The Classification Of Internet Memes Through Supervised And Unsupervised Machine Learning Algorithms, William H. Little

Symposium of Student Scholars

Memes, those captivating internet phenomena, effortlessly deliver online entertainment. By leveraging time-series data from Google Trends, we can vividly illustrate and dissect the dynamic trends in meme popularity. Previous studies have discerned four distinct post-peak popularity patterns— "smoothly decaying," "spikey decaying," "leveling off," and "long-term growth"—and elegantly modeled these using ordinary differential equations.

This research introduces a programmatic approach that harnesses both supervised and unsupervised machine learning algorithms. The dataset, now expanded to over 2000 elements, becomes the canvas for exploration. The K-means algorithm identifies clusters, which then serve as labels for the supervised SVC algorithm. The overarching goal is …

Exploring Neural Networks For Breast Cancer Tissue Classification, Stephen Jacobs, Md Abdullah Al Hafiz Khan

Symposium of Student Scholars

Last year, more than 240 thousand women in the United States were diagnosed with breast cancer. These patients are benefitting from decades of data that have been collected by cancer research institutions around the world. Tissue samples are analyzed and cataloged by these institutions, and several facilities like the University of Wisconsin are sharing this historical data to promote the advancement of new cancer treatments. Deep learning and neural network models are being built for this data to help doctors diagnose faster and design treatment options for patients by comparing their tissue samples with these historical datasets. We will use …

Understanding The Needs Of Georgia’S Hispanic/Latinx Population Regarding Adolescent Health, Aylin Diaz, Evelina W. Sterling

Symposium of Student Scholars

Georgia’s Department of Public Health’s Adolescent Health and Youth Development (AHYD) Program is based on the Positive Youth Development Approach as recommended by the Centers for Disease Control and Prevention. This approach engages youth within their communities, schools and organizations, peer groups, and families in a productive and constructive manner. Overall, the AHYD program aims at preventing HIV, STIs, and pregnancy among all youth. In Georgia, the Hispanic/Latino population has grown to over 10% of our total population. However, adolescent health programs within Georgia have not specifically focused on the cultural differences among the large Hispanic/Latino community. This study takes …

Influence Of Al2o3 Passivation Layer Thickness On The Thermal Stability And Quality Of Mocvd-Grown Gan On Si, S M Atiqur Rahman, Manika Tun Nafisa, Zhe Chuan Feng, Benjamin Klein, Ian T. Ferguson

Symposium of Student Scholars

This research delves into the significant impact of varying thicknesses of the Al₂O₃ passivation layer on the thermal stability and crystalline quality of GaN on Si structures, an essential aspect for the next generation of high-temperature electronic and optoelectronic devices. By adopting metal-organic chemical vapor deposition (MOCVD) for the growth process, we analyzed structures with different Al₂O₃ passivation layer thicknesses: none, 2 nm, 10 nm, and 20 nm, each built upon the GaN layer. Through Raman spectroscopy, we meticulously assessed the changes in the E₂ (High) phonon mode's peak position and full width …

Uc-69 Interactive Training Game Suite, Garrett J Perry, Joscelyn Cauley, Issabella Du, Sergiu Ursu, Rahaf Kokash

C-Day Computing Showcase

It is now common knowledge that simple lectures are not the most effective way for the average person to learn and retain knowledge. The Core of Engineers at the Warner Robins Air Logistic Center have tasked us to transform their PowerPoint presentations into interactive training games to improve comprehension, interaction and retention while saving time and logistical resources compared to giving a traditional lecture. We been tasked with creating game modules covering STINFO or what is or is not considered classified information, Records Management, and the No FEAR Act detailing whistleblower rights and protocols. Our team has developed a log …

Uc-105 Model Un Crisis Software, Gregory Hicks, James Ritzi, Vincent K Kipchoge

C-Day Computing Showcase

Utilizing an Agile approach, this project develops a web-based solution, the Model UN Crisis Software, to streamline the management of crisis committees in Model UN conferences. The software is developed using Microsoft Visual Studio and Microsoft SQL Server Management Studio, adhering to the .NET framework and related conventions. It leverages Microsoft Azure SQL Database for back-end data storage and follows the ASP.NET core MVC framework, utilizing powerful .NET tools such as C# and Razor. The developed software provides comprehensive features to reduce the strain of hosting a crisis committee, such as directive and news management, user management, and a messaging …

Gpr-16 Attention Driven Framework For Detecting Mental Illness Causes From Social Media, Abm Adnan Azmee, Dinesh Chowdary Attota, Francis E Nweke

C-Day Computing Showcase

Mental health is a critical aspect of our overall well-being. Mental illness refers to conditions that impact an individual's psychological state, resulting in considerable distress, and limitations in functioning day-to-day tasks. Due to the progress of technology, social media has merged as the platform, for individuals to share their thoughts and emotions. The psychological state of individuals can be accessed with the help of data from these platforms. However, it is challenging for conventional machine learning models to analyze the diverse linguistic contexts of social media data. In this work, we propose a novel attention-driven deep framework to overcome these …

Gpr-18 Case Exploration: Automatic Keyword Matching Framework For Behavioral Health, Francis E Nweke, Abm Adnan Azmee

C-Day Computing Showcase

In this demonstration, we propose a framework for exploring, identifying, and matching repeated behavioral health keywords in first-responder reports to the current set of Behavioral Health Index Terms provided by subject matter experts (SMEs). The tool incorporates behavioral health-related keywords and has a Graphical User Interface (GUI) that allows non-technical users to explore and analyze 911 first-responder reports. We utilized an inverted index, best-matching (BM25), and plain-text searching algorithms to match keywords in first-responder reports. This tool provides a comprehensive approach to report analysis by identifying indicators of mental health disorders and taking into account the assessments of humanities and …

Gpr-63 Adaptive Attention Aware Fusion For Human-In-Loop Behavioral Health Detection, Martin Brown, Abm Adnan Azmee

C-Day Computing Showcase

Identifying behavioral health is paramount for law enforcement officers to provide appropriate follow-up community care. In the current practice, law enforcement offices manually identify these behavioral health cases to allow the designation of the relevant follow-up resources. In this work, we develop a tool to automatically detect behavioral health cases from police public narrative reports by identifying behavioral health indicator signals. We propose a novel adaptive attention-aware fusion model for detecting behavioral health signals in sensitive police reports. Our model leverages contextual and semantic information from the reports and relevant behavioral health cues as keywords from a pre-trained attention-weighted keyword-based …

Uc-100 Indy 7 - Nutrition App, Silas E Hammond, Tho Mai, Christopher P Sarzen, Michael Ehme

C-Day Computing Showcase

This project’s objective is to develop a fully functioning and polished mobile app for keeping track of caloric intake and monitoring other aspects of one’s health. To accomplish this, we will be using React Native to develop a front end which allows users to select their goals and get active assistance in moderating what they eat. This will be done through the scanning of barcodes of any food purchased. These barcodes will then be used to query the Food Data Central API to provide the user with as much information as needed. This will include possible allergies, calorie totals, protein …

Gpr-108 Revolutionizing Reflective Learning In Higher Education: An Llm-Based Analytical Approach, Bharath Y Yadla, Mourya Teja Kunuku

C-Day Computing Showcase

This project introduces a novel LLM-based system to automate The analysis of student reflections, enhancing reflective learning in higher education. Leveraging advanced ML and NLP technologies, the system provides personalized, in-depth feedback by identifying learning outcomes and challenges. Employing the OpenAI API and LangChain framework, it offers a nuanced understanding of student learning trajectories. The methodology involves collecting data via the Minute Paper technique, enabling targeted instructional adjustments. Preliminary results indicate a significant improvement in analyzing and addressing students' educational needs.

Gpr-13 Effect Of Noise And Topologies On Multi-Photon Quantum Protocols, Nitin Jha

C-Day Computing Showcase

Quantum-augmented networks aim to use quantum phenomena to improve detection and protection against malicious actors in a classical communication network. This may include multiplexing quantum signals into classical fiber optical channels and incorporating purely quantum links alongside classical links in the network. In such hybrid networks, quantum protocols based on single photons become a bottleneck for transmission distances and data speeds, thereby reducing entire network performance. Furthermore, many of the security assumptions of the single-photon protocols do not hold up in practice because of the impossibility of manufacturing single-photon emitters. Multi-photon quantum protocols, on the other hand, are designed to …

Uc-40 Asynchronous, Ryan A Whisenhunt, Peyton T Lee, Kenneth Wardlaw, Benjamin T Haaf, Carter L Good, Cory A Ridley

C-Day Computing Showcase

Cultural assimilation is the topic on the mind of the protagonist of our game, Asynchronous. Maxwell, a diplomat from a real-time world, must adapt in a foreign land where the people live turn-based lives. We explore this topic through the lens of traditional JRPG gameplay where the player must decide when to adapt to this new culture and when to act on their own accord. By representing this idea ludically, we hope to better convey the mindset and emotional state of being an outsider to the player.

Ur-12 Multiple Myeloma: Increase Longevity And Quality Of Life Through Early Detection, Desyne Martinez

C-Day Computing Showcase

Multiple Myeloma is a rare form of bone marrow cancer where plasma cells accumulate in the blood stream attacking the skeletal system, nervous system, and kidneys of predominantly African Americans. The disease results in high mortality rates within 5 years of initial diagnosis. Multiple Myeloma has subtle symptoms of bone pain; doctors often send people to physical therapy missing the diagnosis. Current research on the International Myeloma Foundation website includes summaries of blood tests of Multiple Myeloma patients. This study seeks to identify the best blood test predictors of Stage 3, the most aggressive stage of Multiple Myeloma. The cost …

Ur-15 Analyzing Breast Cancer Histopathology Images Using Deep Neural Network Models, Je'dae Lisbon, Michael Bolnik, Sepehr Eshaghian

C-Day Computing Showcase

Our project aims to explore human tissue cells digitized by whole slide scanners for a better understanding of complex tumor microenvironments in breast cancer histopathology images, using various deep neural network models. First, we experimented with 70% percentages of tumor cells on image classification using ResNet50, VGG16, and Inception-ResNet. Second, we performed instance image segmentation using Mask-RCNN. Third, we applied two well-known explainable artificial intelligence (AI) techniques including Gradient-weighted Class Activation Mapping (Grad-CAM) and Shapley Additive Explanations (SHAP) to determine the effectiveness of the models.

Uc-43 Aletheianomous Ai: The Chat Bot Providing The Most Accurate Knowledge Information, David E Chavarro, Aimi Tran, Ethan B Byrd, Matthew J Fincher

C-Day Computing Showcase

For this project, our group aimed to create an intelligent chat bot that was accessible through the web client interface. Aletheianomous, our chat bot, was designed to provide accurate information ethically, aligned with human values. When applicable, the AI would offer the user citations to support its responses. For the back-end, a virtual machine (VM) server in AWS with access to the Graphics Processing Unit (GPU) would run three types of models: Sentence Separation Model, Search Query Extractor Model, and the Response Model. The front-end server using Microsoft Azure generates the web page for the user, exchanges chat data with …

Uc-48 Birding With Buddy, Lazare V Sawadogo, Ikhelowa E Adeji, Blake Graham, Zach Alpine, Troy C Sorrells

C-Day Computing Showcase

Birding with Buddy is an educational and entertaining immersive virtual 3D low-poly birdwatching to be experienced at the Carter Lake Nature Center to enable kids to embark on a quest to learn more about birds. Buddy the Beaver guides the user through different terrain types to identify diverse bird species with sounds. Integrate a bird identification system where players click on the binocular icon to switch to a binocular view. In this view, players can choose to Identify (multiple-choice) the correct bird, Hear the Call Again, or Consult a Field Guide. Featuring flippable pages with images and notable markings of …

Ur-89 Performance Analysis Of Post-Quantum Computing Key Encapsulation Mechanism Algorithms, Dillon J Horton, Jose Gutierrez, Tyler G Standard

C-Day Computing Showcase

Within the next twenty years or so experts predict that we will have quantum computers which will make certain kinds of encryption that we rely on ineffective and vulnerable to malicious entities. Post quantum computing (PQC) algorithms fill in that security gap that classical encryption algorithms can not. A particular category of PQC algorithms are key exchange mechanism (KEM) algorithm. The goal of these algorithms is to securely generate a shared symmetric key which can be used for encrypting future communication between the hosts. An important use case for these algorithms is in securing the Transport Layer Security protocol (TLS) …