Digital Commons Network^™

Path Tracing And Physically-Based Rendering With Directx Raytracing, Jiabin Wang

Programming Theses and Dissertations

This artifact is designed to simulate global illumination by using DirectX raytracing pipeline. Physically-based Rendering (PBR) and path tracing were integrated to achieve photo realistic rendering effect.

Collective Effervescence As Self-Organization And Enaction, Christian Kronsted

Philosophy Faculty Publications

No abstract provided.

Optimizing Growth Conditions Of Chlorella Algae For Enhanced Biomass And Oxygen Production, Supreme Ogheneovo Oghenerhoro

Master's Theses

Increasing Earth's carbon dioxide (CO₂) levels contribute immensely to global warming. At the same time, future Mars colonization requires innovative systems for oxygen production. This study explores how Chlorella algae can help control environmental challenges on Earth, support life on Mars, and produce biomass as an alternative to renewable energy. Chlorella is known for its high photosynthetic efficiency in capturing CO2 for growth, producing O2 and biomass used for biofuel production. It was studied under varying CO₂ concentrations and pressure conditions. Each experiment was performed using a photobioreactor setup and optimized algae growth conditions. These were assessed to understand its …

Design And Analysis Of An Isolated Resonant Pulsed Dc-Dc Buck-Boost Converter, Edgar Arturo Mora Tena

Master's Theses

This thesis entails the design, modeling, simulation, construction, and analysis of a new isolated DC-DC buck-boost converter with Zero-Current-Switching (ZCS) operation, continuous input current, and a low-side switch to simplify driving requirements. The proposed converter was designed to regulate a 5V output from an input range of 15V-18V, at a rated output power of 20W, and a switching frequency range of 90kHz-500kHz. Software simulations are performed to develop a mathematical model that describes the converter’s modes of operation, as well as the current and voltage waveforms of the resonant power components. Results from hardware experimentation confirm that the converter effectively …

Impacts Of Temperature Acclimation On Swimming Performance And Metabolic Dynamics Of The Amargosa River Pupfish, Cyprinodon Nevadensis Amargosae, Teresa E. Guerre

Master's Theses

Climate change is leading to warmer atmospheric temperatures in many regions of the world, which in turn is raising the temperatures of aquatic habitats and simultaneously shifting the frequency and severity of extreme precipitation events. In fishes, metabolic demands are higher under warmer conditions, while dissolved oxygen levels typically decline in warmer water. This mismatch may limit the ability of fishes to cope with high water flow events like floods that can occur following extreme rainfall. A few species of pupfishes (genus Cyprinodon) in the Death Valley region of California and Nevada, USA, occupy stream or river habitats with …

Maternal Occupational Exposure To Noise, Kristen W. Van Buren, Carissa M. Rocheleau, I. Chen Chen, Wayne T. Sanderson, Leslie A. Macdonald, Elizabeth A. Masterson, Eirini Nestoridi, Elizabeth C. Ailes

Epidemiology and Environmental Health Faculty Publications

Objectives We investigated associations between occupational noise and gestational diabetes mellitus, pregnancy-related hypertension (including pre-eclampsia/eclampsia), preterm birth and small for gestational age (SGA) infants. Methods Data were analysed for 7889 singleton, live-born infants without major birth defects or chromosomal disorders and their mothers from the National Birth Defects Prevention Study from 1997 to 2011. Typical maternal occupational noise exposure in all jobs held from 1 month prior to conception through the end of pregnancy was estimated by expert rater and categorised as quiet (<60 A-weighted decibels (dBA)), low (60-75 dBA), moderate (76-84 dBA) or loud (>85 dBA). Multiple logistic regression was used to estimate associations (adjusted ORs and 95% CIs) between …

Registration Of High Yield Conventional Soybean 'S17-2193' With Resistance To Multiple Diseases, Francia Seconde Ravelombola, Yi-Chen Lee, Donghun Lee, Caio C. Vieira, Alemu Mengistu, Lin Feng, Grover Shannon

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

'S17-2193' (Reg. no. CV-565, PI 707954) is a high-yielding late maturity group IV (relative maturity of 4.7), conventional soybean [Glycine max (L.) Merr.] cultivar developed and released in 2022 by the University of Missouri Fisher Delta Research, Extension, and Education Center. S17-2193 was tested in over 88 environments (40 environments for preliminary, advanced, cooperative and uniform tests; and 48 environments for soybean state variety tests) from 2018 to 2021 in 10 states: Alabama, Arkansas, Illinois, Kansas, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, and Tennessee. Results showed that S17-2193 was well adapted across the mid-South United States. This soybean cultivar has …

The Relationship Between Weather Variablity And Agricultural Land Cover Change In North Dakota (1997-2023) And Its Implication For Future Change, Sabrina Karim

Theses and Dissertations

Climate variability and weather patterns play a critical role in shaping agricultural land use and land cover (LULC), particularly in states like North Dakota, where agriculture dominates the landscape. This study explores the impacts of climatic factors—specifically rainfall, temperature, and Growing Degree Days (GDD)—on agricultural land cover (ALC) changes in North Dakota from 1997 to 2023, with projections for 2033. By combining historical analysis and predictive modeling, the research examines how climate variability has influenced crop dynamics and provides insights into future scenarios. The research uses advanced geospatial tools, including Google Earth Engine, and machine learning techniques such as Random …

Manipulating Martensitic Transformation And Residual Stress Development In Stress Superposed Incremental Forming Of Ss304, Elizabeth M. Mamros, Fabian Maaß, Thomas Gnaupel-Herold, A. Erman Tekkaya, Brad L. Kinsey, Jinjin Ha

Faculty Journal Articles

Stress superposition is one of the strategies used in metal deformation processes to increase the material formability, decrease the required forming forces, and create highly customized components. To investigate the effects of tensile and compressive stresses superposed to the single point incremental forming (SPIF) process, experiments and numerical simulations were conducted for a stainless steel 304 (SS304) truncated square pyramid geometry. Tensile stresses were superposed in-plane on the specimen blank by a custom hydraulic frame, and compressive stresses were incorporated via a polyurethane die. Identified parameters for a martensitic transformation kinetics model for SS304 were used in a two-step finite …

Assessing Chatgpt's Capability As A New Age Standardized Patient: Qualitative Study, Joseph Cross, Tarron Kayalackakom, Raymond E. Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Nikhilesh Anand

School of Medicine Publications

Background: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intelligence (AI), particularly with large language models such as ChatGPT, present new opportunities for virtual SPs, potentially addressing these limitations.

Objectives: This study aims to assess medical students' perceptions and experiences of using ChatGPT as an SP and to evaluate ChatGPT's effectiveness in performing as a virtual SP in a medical school setting.

Methods: This qualitative study, approved by the American University of Antigua Institutional Review Board, involved 9 …

Improving Breast Cancer Modifiable Risk Factor Knowledge Among Patients In A High Risk Breast Cancer Prevention Clinic In The Midwest, Bailee Torneden

Doctor of Nursing Practice Scholarly Project

Preventative health care is the best choice in moving forward to reduce disease incidence. In the case of breast cancer, prevention clinics have been set up for those who have been determined as a high risk status for developing breast cancer over the course of their lifetime. There are many risk factors for breast cancer that are out of the patient’s control, but there are lifestyle health behaviors that could be implemented to lower the patient’s risk. The potential impact of these can not only lower the incidence of breast cancer, but can be linked with reduction of other disease …

Technical Difficulties: An Investigation Of Problematic Social Media Usage And Well-Being Of Emerging Adults, Sarah Swan

Honors Theses

Grounded in previous scholarship investigating the relationship between social media use and psychoemotional outcomes, this study conceptualizes and tests a comprehensive model that constellates predictive factors (i.e., time spent, platforms selected, purposes of use, and emotional regulation abilities) and negative behavioral and emotional outcomes (i.e., addiction and emotional affect), specifically among emerging adults (ages 18-29). A survey of 591 respondents revealed that high usage of certain platforms (i.e., Instagram, TikTok, and Facebook), alongside individual emotional regulation abilities and passivity of social media use, predicts higher levels of addiction and negative emotional outcomes. Additional findings indicate significant differences in social media …

A Comprehensive Performance Comparison Of Machine Learning And Federated Learning For Intrusion Detection In Vehicular Ad-Hoc Networks Using Can-Bus Data, Tim Leonhardt

Honors Theses

Federated Learning (FL) is a Machine Learning (ML) approach that decentralizes training across distributed devices, eliminating the need to centralize data. Unlike traditional ML, where models are trained on aggregated data, FL sends a global model to multiple nodes for local training, with updated parameters transmitted back to the server for aggregation. This process preserves data privacy, making FL ideal for sensitive applications like cybersecurity. However, FL introduces challenges such as data heterogeneity, communication overhead, and difficulties in achieving model convergence, which can impact performance.

This study investigates a fundamental assumption in ML and FL research: that the superior performance …

Public Building Accessibility: An Expanded Access Analysis Metric, Carolyn Wilkinson

Honors Theses

Quality accessibility features significantly impact the user experience in public service facilities; however, much of the research in this area tends to focus on code compliance, limiting the ability to analyze accessibility quality in depth. Additionally, studies often concentrate on common mobility challenges, leaving less focus on other disabilities, such as cognitive and visual impairments. As a public institution, the University of Southern Mississippi depends on students' abilities to access its services, directly linking the institution’s value to the quality of its accessibility. To address this, we developed a set of survey questions to evaluate the accessibility features of campus …

Mathematical Melodies: The Exploration Of Music Using Fourier Signal Analysis, Courtney Francois

Honors Theses

Upon initial inspection, mathematics and music appear to be distinct disciplines lacking any connections to one another. However, many complex intersections lie beneath the surface. This paper seeks to explore these connections through the analysis of the Fourier series and the Fourier transformation of musical sound signals. Orthogonal functions of various frequencies are used to approximate and recover sound signals. Following the examination of the basis of Fourier signal analysis, MATLAB is utilized to visualize the connectedness of mathematics and music through sound signals from varied musical instruments and by performing Fourier signal analysis to the sound signals. Then, the …

The Effect Of A Peptide Targeting Ligand On Transfection Efficiency Of Polymeric Nanoparticles To Dendritic Cells, Anthony Radka

Honors Theses

Autoimmune diseases affect approximately 5-8% of the global population, leading to chronic symptoms, long-term treatment, and reduced quality of life. Current therapies primarily rely on lifelong administration of immunosuppressants, which are associated with severe side effects and heightened susceptibility to infections. This has spurred interest in cellular therapies that manipulate dendritic cells (DCs) effectively and can selectively treat these diseases. This work aims to improve the efficacy of dendritic cell-based therapies using cationic polymers that can electrostatically complex with nucleic acids, forming nanoparticles referred to as polyplexes, that can deliver therapeutic nucleic acid cargo. These particles are a favorable alternative …

Cache-Augmented Generation In Rag Pipelines: Fast And Memory-Efficient Approach To Multi-Agent Knowledge Query Systems, Yaju Gopal Shrestha

Honors Theses

This thesis presents an implementation and evaluation of Cache-Augmented Generation (CAG) for knowledge query systems, building upon the approach introduced by Chan et al. (2024). Traditional Retrieval-Augmented Generation (RAG) systems (Lewis et al., 2020) face challenges including high latency, excessive memory usage, and complex infrastructure requirements. By implementing a cache-augmented architecture that preloads relevant knowledge and eliminates real-time retrieval, our approach significantly improves response time while reducing resource requirements. The research demonstrates the effectiveness of CAG through a comprehensive implementation for The University of Southern Mississippi's chatbot system, achieving a 49.02% improvement in response time compared to traditional RAG approaches. …

Privacy-Aware Ai-Based Agricultural Monitoring Using Internet Of Drones, Md Benozir Hossain

Honors Theses

Artificial Intelligence (AI) has become a vital tool for agricultural farming. AI-based image processing models utilizing different machine learning (ML) algorithms and deep learning (DL) offer advanced functionalities in disease detection, yield estimation, land use, etc. This thesis examines AI-driven techniques utilizing Convolutional Neural Networks (CNN) with the addition of Federated Learning (FL) to analyze satellite and drone images for agricultural insights, especially in detecting Cotton diseases. The AI models improve agricultural farming in many ways, such as using data to make critical decisions, reducing labor costs, pest infestations, etc. Moreover, these models allow farmers to minimize yield losses by …

Quasipseudometric Value Functions With Dense Rewards, Khadichabonu Valieva

Honors Theses

Goal-conditioned reinforcement learning (GCRL) serves as an extension of reinforce- ment learning (RL) that focuses on goals that can be adjusted, making it useful for many applications, especially in complex robotics tasks. Recent research has established that the optimal value function of GCRL, denoted as Q∗(s, a, g), has a quasipseudometric structure. This finding has led to the development of targeted neural architectures that respect such a structure. However, prior analyses have predominantly focused on sparse reward settings, which are known to increase challenges related to sample complexity. In this work, I with the guidance of my advisor show that …

Tuning The Morphology Of Triblock Copolymers Via Homopolymer Blending, John F. Searles

Honors Theses

Morphology plays an important role in the physical properties of block copolymer (BCP) materials. Depending on the type of morphology and chemical composition of the blocks, BCPs are used in applications ranging from soft biomaterials for biomedical devices to rigid materials for ballistics protection. Due to incompatibility between comonomers and required block weight ratios to achieve targeted morphologies, it is generally necessary to use complex, time-consuming, and expensive synthetic techniques to prepare BCPs. As a result, there is increased interest in the development of new processing methods to tailor block copolymer morphology without the need for additional synthesis. The morphological …

Tailoring The Morphology Of Block Copolymers Via Solvent-Vapor Annealing, Bayleigh Madelin Loving

Honors Theses

Triblock polystyrene-polyisobutylene-polystyrene (PS-PIB-PS) copolymers have widespread applications from thermoplastic elastomers to protective coatings for ballistic applications. The incompatibility between the soft PIB and hard PS phases leads to phase separation and subsequent formation of morphological domains like lamellae and cylinders. The structures are stabilized by physical crosslinks, which can greatly improve the toughness of the triblock systems by preventing chain pullout during tensile deformation. We tailored the morphologies (achieving different morphologies with the same block copolymer) by changing the annealing conditions of the block copolymers. Solvent vapor annealing was used to selectively activate the mobility of a particular block, causing …

Development And Characterization Of A Pro-Angiogenic Peptide Amphiphile For Deep Dermal Burn Healing Via Spray Delivery, Loria Dimartino

Honors Theses

Severe burns and other dermatological injuries are frequently accompanied by a range of comorbidities and aesthetic challenges that patients must contend with. The complexity of burn care is exacerbated by the lack of a standardized surgical protocol, as treatment strategies are tailored to individual patient factors, including overall health status, wound size and location, as well as the expertise and resources available to the surgical team. Most commonly, deep dermal burns are treated through grafting, which effectively covers the injury site, but requires the creation of a second wound on the body of approximately the same size. This produces a …

Globally Adaptive Exponential Integrators For Stiff Systems Of Odes, Anzhelika Vasilyeva

Honors Theses

This thesis introduces a novel method for solving systems of Ordinary Differential Equations (ODEs) resulting from the spatial discretization of Partial Differential Equations (PDEs). The proposed approach builds upon an existing technique that employs Krylov projection, which requires evaluating a matrix function at each timestep. The innovation of the new method lies in its reuse strategy, which shifts the perspective from direct matrix function evaluation to polynomial interpolation. Numerical experiments conducted on constant and variable coefficient heat equations, with both smooth and discontinuous initial data, demonstrate the computational time advantage of the new approach. The results indicate that this method …

Letters From The Periphery: L.E. Faulkner’S Crusade Against Communism, Cameron Melendez

Honors Theses

This thesis explores L.E. Faulkner’s political activism. Faulkner, a railroad executive from Hattiesburg, Mississippi, launched a number of anti-communist crusades throughout the 1940s and 1950s. Utilizing his personal correspondence, political articles, and newspapers, this thesis argues that anti-communist networks were influential and powerful tools used by Faulkner and other local activists to shape the national discourse around anti-communism. Faulkner created an interconnected web of anti-communists that linked protestant fundamentalism, capitalist advocacy, racial politics, and Americanism. His 1943–1944 civic education campaigns with Rotary International and Kiwanis International and his 1954 opposition to the World Council of Churches serve as case studies …

The Factors That Affect Usm Student Experience In The General Chemistry Classroom, Emma Dickerson

Honors Theses

Chemistry has a reputation for being a challenging discipline for many students. Enrollment in chemistry courses is much lower than that of other disciplines due to “chemophobia”, which can be caused by many aspects of chemistry.^1-2To increase enrollment in chemistry, it is important to understand how to improve the student experience in the classroom. To determine the factors that affect a student’s experience in their current chemistry class, the Chemistry Attitudes and Experiences Questionnaire (CAEQ) was adapted and given to students in General Chemistry I and II classes at The University of Southern Mississippi. Descriptive statistics, an Analysis …

Nostalgia, Economic Revitalization, And Community Relationships In Hattiesburg's Recent Historic Preservation Efforts, Jordan Jones

Honors Theses

This paper examines the reasons behind the modern interest in historic preservation in Hattiesburg, Mississippi, and argues that its supporters are driven primarily by nostalgia towards what they envision as “Old Hattiesburg” and its aesthetics, interest in economic opportunities, and the strengthened sense of community made possible through historic preservation. From the foundation of Hattiesburg to today, there have been shifts in interest in Downtown and its historic districts, and they fluctuate based on changing political, economic, and social trends. In order to contextualize Hattiesburg’s historic preservation, this thesis draws upon secondary scholarship on historic preservation, economic revitalization, and historical …

Evaluating Accuracy In Legal Research: A Comparative Analysis Of Traditional And Artificial Intelligence-Driven Methods, Lily Collins

Honors Theses

Legal professionals are challenged with performing accurate legal research to meet professional standards. The use of artificial intelligence (AI) presents a potential for enhanced efficiency. However, knowledge and process gaps exist, questioning the accuracy of results generated by AI. The uncertainty of accurate results poses a risk for poor outcomes for all stakeholders. This thesis aimed to quantitatively measure the accuracy of AI legal research in comparison to traditional legal research. Accuracy and relevance were measured by analyzing case precedent results using three legal research platforms, Westlaw, Nexis Uni, and Chat GPT. The three platforms represented traditional and AI-driven research, …

Building Health Policy Advocacy Expertise In Pediatric Nurse Practitioners Through Civic-Based Experiential Learning, Christine A. Schindler, Jill C. Kuester, Jennifer K. Pfister, Katie L. Mcdermott

College of Nursing Faculty Research and Publications

Background:

Many nurses work largely as policy implementers rather than policy developers. The literature posits several multifaceted reasons for this lack of policy acumen including interprofessional power dynamics, marginalization of nurses in policy making, and lack of formal training in public policy advocacy.

Purpose:

To evaluate the impact of a targeted teaching strategy on increasing political astuteness, perceived skill, and comfort in health policy advocacy among a cohort of acute care pediatric nurse practitioner students.

Methods:

Curriculum assessment data were collected using the Political Astuteness Inventory, pre- and postclass discussions, and written reflections.Results: This curriculum evaluation suggests that specific policy …

The Effectiveness Of Science Instruction With Digital Simulations In Elementary Settings For Quantitative Sensemaking, Joelle Prate

Education (PhD) Dissertations

The importance of elementary science education is well-documented, but many challenges persist, including a lack of time, space, and materials needed for students to have hands-on lab experiences. As a result, many students in California are falling behind, with less than one-third of all fifth graders meeting or exceeding standards in standardized test reporting. This study sought to employ single-case design methods and combine the best practices in sensemaking approaches with virtual simulations to determine whether these practices would provide effective intervention and improve students’ blended math and science sensemaking abilities at the qualitative and quantitative levels, as well as …

A Qualitative Exploration Of Workplace Experiences To Inform Transition Services For Neurodivergent Youth, Rachel M. Torres

Education (PhD) Dissertations

Individuals with disabilities, including neurodivergent individuals, are employed are significantly lower rates than individuals without disabilities (Bureau of Labor Statistics [BLS], 2023). Although secondary schools are responsible for engaging in transition planning for students with disabilities (Individuals with Disabilities Education Act, 2004), research indicates these plans are often lacking in efficacy (Greene, 2015) and in their alignment with students’ interests and needs (Hughes et al., 2023). Simultaneously, modern work and the skills students need succeed in today’s workforce are changing (Griffiths et al., 2020). The goal of the present study is to improve transition planning and interventions by better understanding …