Engaging Minds: Assessing The Impact Of Arts-Integration On Science Achievement And Engagement Using Planned Experimentation, Fonda G. Dupre

All Dissertations

Elementary science education is essential for fostering inquiry, critical thinking, and problem-solving, yet it is often reduced or deprioritized due to the pressures of high-stakes testing in reading and mathematics. Despite federal calls for a well-rounded education under the Every Student Succeeds Act (2015), instructional time for science remains limited in many schools, particularly in under-resourced and high-poverty contexts. This reduction of science instruction time exacerbates achievement gaps and limits student engagement and interest in STEM fields.

This planned experiment investigates whether Arts-Integrated science instruction can increase student engagement and improve academic achievement among fourth-grade students at Foothills Academy of …

Influence Of Experience And Risk With Natural Hazards On Geoscience Interest And Career Expectations, Shannon Conner

All Dissertations

Understanding student interest in geoscience is important, as it has the potential to inform departmental decisions such as the selection of classroom examples and marketing strategies to attract new geoscience majors. Recruitment to geoscience is critical to address future social and environmental challenges. Our work may also provide insight into how to approach persistent recruitment problems within departments, such as student enrollment and the lack of diversity within the geosciences. This work involves developing a geoscience interest scale, integrating geospatial and educational data sets related to hazard risk and interest, and an exploring career motivations as related to natural hazard …

More Than Numbers: Interrogating The Instructional Capacity Of Middle School Mathematics Teachers, Yashica R. Latimer

All Dissertations

This study examines how middle school mathematics teachers conceptualize and enact culturally responsive mathematics teaching (CRMT) within a district-supported professional learning initiative. Guided by the CRMT framework developed by Aguirre and Zavala (2013), the research explores how instructional decision-making intersects with equity-focused pedagogy.

Two central questions inform the study: (1) How do middle school mathematics teachers interpret and apply CRMT principles in their classroom practice? (2) What specific instructional strategies do teachers use to integrate cultural responsiveness into their instruction?

Using a qualitative multiple-case study design, data were collected from three teachers participating in a professional learning group called MORE …

Melts To Solutions: Structure, Dynamics, And Response Of Polyelectrolytes, Shalika Meedin

All Dissertations

The current research elucidates the changes in the structure and motion of polyelectrolytes as they are perturbed by solvents and shear flows. Polyelectrolytes are macromolecules whose backbone consists of long, predominantly hydrocarbon chains, substituted by ionizable groups, which tend to dissociate into ions in polar solvents. Their properties result from a delicate balance of elastic energy that arises from the polymeric backbone and electrostatic forces, which stem from the ionizable groups. Though polyelectrolytes have an immense potential to propel numerous technologies, from clean energy to drug delivery systems, understanding the delicate balance between the properties of the polymer backbone and …

Accurate Temporal Integration Schemes For Nonlinear Adsorption Problems, Evan D. Butterworth

All Dissertations

We consider a nonlinear transport problem to model the chromatography process of high-capacity multimodal membranes. Robust and efficient algorithms that simulate these bioseparation processes are critical to developing therapeutics for various chronic illnesses and infectious diseases. However, much of the current methodology focuses on stabilization and linearization techniques, often implementing low-order time-discretizations and linearized adsorption, resulting in inefficiencies and inaccuracies in the numerical solution. Utilizing Rothe's method, we develop various time-discretization schemes coupled with the finite element method to solve the fully implicit problems. Stability and solvability results are presented for several methods. Through multiple high-level software implementations paired with …

Exploring The Impact Of Co-Teaching On High School Math Achievement For Students With Disabilities, Josh T. Oxendine

All Dissertations

This Dissertation in Practice explores the implementation of a co-teaching model in Algebra 1 classrooms at Green High School, part of the Excellent School District. The study was conducted due to the persistent underperformance among students with disabilities (SWD) on the Algebra 1 End of Course test, which led to the school’s designation as an Additional Targeted Support and Improvement (ATSI) site by the South Carolina Department of Education. Developed using the principles of improvement science, the study utilized the Plan-Do-Study-Act (PDSA) cycle as a framework to guide and evaluate change.

The change idea centered on embedding co-teaching in two …

Culturally Relevant Pedagogy In Undergraduate General Chemistry, Destinee J. Cooper

All Dissertations

General chemistry is a foundational course for advancement in most undergraduate STEM programs, but unfortunately, many students do not continue in STEM after their experiences in their general chemistry course. Culturally relevant pedagogy (CRP) has the potential to increase students’ positive experiences in general chemistry by centering their needs, identities, and backgrounds. However, this pedagogical approach has not been widely studied in the college general chemistry context. As such, my four-paper dissertation broadly aimed to explore both the implementation and outcomes of CRP in undergraduate general chemistry.

The first paper reviewed the literature on culture-based pedagogies across the full undergraduate …

Towards Securing Ai Systems: Investigating Threats In Multimodal Autonomous Driving & Rag Systems, Saket Sanjeev Chaturvedi

All Dissertations

Artificial Intelligence (AI) systems have become central to high-stakes applications such as autonomous driving and language-based decision support. As their deployment accelerates, ensuring the security and trustworthiness of these systems becomes paramount. Among the most stealthy and potent threats are backdoor attacks, where models behave as expected under normal conditions but exhibit malicious behavior when triggered by specific inputs, either digital or physical.

This thesis investigates novel backdoor and adversarial vulnerabilities across two emerging classes of AI architectures: (1) multimodal 3D object detection systems that fuse LiDAR and camera data, and (2) Retrieval-Augmented Generation (RAG) systems that pair large language …

Constructing Code-Based Zero-Knowledge Proofs Leveraging Generic Errors And Bounded Vectors, Freeman Slaughter

All Dissertations

Quantum computing is developing at an expeditious rate, and once fully scalable quantum computers become realized, classical cryptographic systems face obsolescence. This approaching peril has prompted a paradigm shift away from pre-quantum cryptography and towards post-quantum primitives, such as those that arise from the field of coding theory. Among these, zero-knowledge proofs have emerged as a dynamic tool instrumental in constructing quantum-resilient digital signature schemes.

We being by introducing HammR, a pre-quantum zero-knowledge proof protocol designed to verify Hamming weight and entry constraints of error vectors, and comprehensively establish its security. Subsequently, we extend HammR to the multi-party computation setting, …

Teacher Efficacy In Reading Intervention: The Role Of Coaching And Professional Development In Foundational Literacy, Susan S. Chapman

All Dissertations

This Dissertation in Practice utilized improvement science methods to increase teacher self-efficacy in foundational reading practices and to address the oral reading fluency (ORF) challenges of elementary students who consistently score below proficiency. Rooted in Bandura’s theory of self-efficacy and the Active View of Reading, the study aimed to build teacher confidence in delivering foundational reading instruction while improving student ORF rates. A Plan-Do-Study-Act (PDSA) cycle was implemented with second-grade teachers and targeted the following aim: increase ORF by 12 words correct per minute (wcpm) for students receiving Tier 3 intervention over an eight-week cycle. Coaching, using the student-centered coaching …

Are They Ready? Impacting Kindergarten Readiness Through The Science Of Reading, Traci T. Boyles

All Dissertations

The purpose of this research study was to investigate how Science of Reading (SOR) professional development for preschool teachers, implemented through collaborative teaching and assessment cycles, influences the kindergarten readiness of preschool students.

Students from impoverished families start kindergarten at a considerable disadvantage regarding literacy. Literacy-focused curricula and professional development for teachers strongly affect reading outcomes. Multi-Tiered Systems of Support (MTSS) provides a systemic framework for data-based problem solving and decision-making. The MTSS framework aligns literacy interventions with tiered supports to ensure all students receive the assistance they need to achieve reading proficiency.

The South Carolina Child Early Reading Development …

Online Multiobjective Optimization, Kristen Joyce

All Dissertations

Online optimization (OO) is an iterative process of decision making under uncertainty. At every step, a decision is made before the outcome of this decision is known. For the online optimization model, the objective function is unknown at the time the decision is being made. It is very likely that the taken decision is not optimal, so the decision maker incurs a loss, called regret, in every iteration. The goal of the online optimization algorithm is to compute a decision at every step so that the overall regret cost is minimized. In particular, the average regret produced by an ideal …

Empowering Employability: Voices Of Black Women Leveraging Community Cultural Wealth In An Undergraduate Agricultural Program, Rose Marie Somers

All Dissertations

Across the nation, agricultural industry professionals have bemoaned the shortage of qualified professionals, expressing an expanding need for graduates with a blend of discipline-specific and employability skills to advance the sector. Research indicates that the future of the US agriculture sector hinges on a diverse and skilled workforce. Yet, a paucity of literature exists on Black women's enduring legacy, experiences, and how they understand and develop 21st-century critical transferable professional competencies needed to address complex challenges in modern agriculture. Black women have a long tradition in agriculture and a wealth of cultural knowledge, skills and innovations that are untapped. This …

Out-Of-Band Anomaly Detection For Real Time Operating Systems, Jeffrey K. Holifield

Graduate Theses and Dissertations (2019 - present)

Real Time Operating Systems (RTOS) are increasing present throughout the industrial, business, defense, and healthcare spaces. These lightweight and efficient operating systems are designed to run on embedded, resource constrained devices, often within cyber-physical systems (CPS). A defining characteristic ofRTOSs is that they are deterministic. Tasks are scheduled to run on fixed timelines within guaranteed execution windows. In Industry 4.0 applications for example, sensors must receive and process inputs within a fixed schedule to ensure products are properly manufactured. This requires guaranteed service at fixed time periods. To accomplish this, RTOSs must conform to worst case execution times (WCETs) as …

Yizhi Sun: Profile Of The Newest Chbc Faculty Member., Danna Jaimes-Fajardo, Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

Presents the research profile of Yizhi Sun, Assistant Professor, Chemistry and Biochemistry department. It highlights his research interests, education, and impact of his research.

Effects Of Emotional Intelligence In Enhancing Team Collaboration And Conflict Resolution In Agile Project Management, Shaikh Muhammad Sinan

Harrisburg University Dissertations and Theses

In this study, I explored the use of emotional intelligence (EI) in enhancing team collaboration and conflict resolution within agile project management environments. Though agile methodologies have gained more popularity, most projects still suffer from interpersonal conflicts and communication failures that detract from project performance. Though the literature is particular to the dynamics of agile project management, little is known about the emotional and interpersonal dynamics that influence team effectiveness. I examined how EI skills such as self-awareness, self-regulation, empathy, and social skills influence team dynamics and project success. Guided by Daniel Goleman's Emotional Intelligence Framework, in this qualitative study, …

Comparative Analysis And Future Trends Of Friction And Regenerative Braking Systems, Madhukar Reddy Janga

Research Papers

The Research provides a full-scale analysis of traditional friction braked systems together with regenerative braking systems with focus on their working methods along with contemporary integration practices and forthcoming technological developments. Friction braking which has been widely used since long ago provides necessary dependable slowing abilities yet leads to substantial heat generation together with the release of harmful particles. Regenative braking systems that power electric and hybrid vehicles retrace vehicle momentum during braking to create stored electrical energy which results in better fuel economy with lower environmental effect. The research performs an in-depth analysis of braking system operational mechanics through …

Using Livestreaming Technology To Answer Novel Questions About The Behavior And Physiological Ecology Of The Prairie Rattlesnake (Crotalus Viridis), Max C. Roberts

Master's Theses

Recent advances in remote monitoring technology are opening up new opportunities for developing innovative natural history and biological research methodologies. In particular, the emergence of livestreaming camera technology has made recording remote video of wild and secretive animals much easier and made it possible to collect data at extremely fine temporal resolutions. In 2024, Project RattleCam launched a livestreaming camera at a Prairie Rattlesnake (Crotalus viridis) den in Colorado. The goal of this work was to study Prairie Rattlesnake behavior 24-7 throughout the species’ active season with minimal human disturbance. Additionally, I used this system to study the …

Investigating Rattlesnake Social Networks And Improving Their Public Image Through Unobtrusive Technologies And Community Science, Owen M. Bachhuber

Master's Theses

While technology is often blamed for humans’ increasing disconnect with nature, it can also serve as a tool to facilitate empathy and conservation action for wildlife. Snakes are among the most feared animals on the planet, though their understudied social interactions provide opportunities to make scientific discoveries and change public perceptions. Project RattleCam was founded as a camera trap project in 2021 and launched the first off-grid livestream on a den of wild Prairie Rattlesnakes (Crotalus viridis) in 2024. Both camera types captured hundreds of Prairie Rattlesnakes gathering in the summer as they prepared to give birth to pups before …

Broadband Resilience By Zero Trust Community Network Policy Design, Lee W. Mcknight, Danielle Smith

The Lender Center for Social Justice

This paper proposes a Zero Trust framework for broadband policy design to enhance community network resilience. It provides a governance and policy perspective for ensuring secure, equitable broadband access.

Roles Of Three Conserved Active Site Residues Of Cytochrome C Nitrite Reductases During The Early Steps Of Nitrite Reduction, Shahama Alam, Bradley J. Dimock, Brian Bennett, Steven J. Reinhardt, Shahid Shahid, A. Andrew Pacheco, Jarett Wilcoxen

Physics Faculty Research and Publications

Cytochrome c nitrite reductases (ccNiRs) catalyze reduction of nitrite to ammonium in a six-electron, eight-proton process. This report explores how the behavior of three active site ccNiR variants differs from that of the wild type enzyme (ccNiR_wt) in the presence of nitrite and a variety of electron donors. While the nitrite-loaded active site of Shewanella oneidensis ccNiR_wt could be 2-electron reduced within seconds to yield a 6-coordinate ferrous nitrosyl ({Fe(L)NO}⁷) at high applied potentials, quantitative reduction of the nitrite-loaded variants R103Q, H257Q, or Y206F required substantially stronger reductants and yielded a different product over several …

Enhancing Stem Education With Generative Ai: A Case Study Exploring Student Learning, Motivation, And Teacher Perception In Thailand, Parin Chawalit

Electronic Theses, Projects, and Dissertations

This qualitative case study investigates how generative artificial intelligence (GenAI) tools can support STEM education in a Thai secondary school setting. Conducted during a one-day STEM camp involving 50 students (grades 9–11) and one science teacher, the study explored the use of ChatGPT and Gemini to support students’ engagement in a bridge design challenge. The research examined GenAI’s influence on student learning within the engineering design process (EDP), student motivation and engagement, and teacher perceptions of AI integration.

Thematic analysis of observations, student surveys, interviews, and AI interaction logs revealed that GenAI tools supported students primarily during the early phases …

Predicting Music Origin With Deep Learning, Fruzsina Ladanyi

Electronic Theses, Projects, and Dissertations

This project explores the usage of a late fusion deep learning architecture to predict the geographic origin of music. Mel-Frequency Cepstral Coefficients (MFCCs) and the language of the music sample are used as features. MFCCs were extracted from audio files to capture sound features. The language was identified using OpenAI’s Whisper model to provide additional context. A late fusion neural network architecture combining Long Short-Term Memory (LSTM) layers for sequential MFCC input and dense layers for non-sequential language features were employed to support both classification and regression tasks. The classification model achieved an accuracy of 33.03% across 56 countries or …

Antibacterial Effect Of Ethanol Extracts Of Murraya Paniculata Leaves, Smallanthus Sonchifolius Leaves, Apis Trigona Honey, And Their Combination Against Staphylococcus Epidermidis, Sri Agung Fitri Kusuma, Irma Erika Herawati, Felika Nugrahaningtiyas

Chimica et Natura Acta

Several studies have reported that combining plant extracts may enhance their efficacy against specific bacterial infections. This study aimed to analyze the antibacterial interaction of ethanol extracts of Murraya paniculata leaves, Smallanthus sonchifolius leaves, Apis trigona honey, and their combinations against Staphylococcus epidermidis ATCC 12228, as each component has shown individual antibacterial activity against this bacterium. The antibacterial interactions of the test materials, both individually and in combination, were evaluated using the agar diffusion method with clindamycin phosphate as the standard antibiotic. The minimum inhibitory concentration (MIC) of the most potent extract was determined through the microdilution method according to …

The Effect Of Different Synthesis Solvents And Dialysis Processes On The Optical Properties Of Carbon Dots From Spent Coffee Grounds Using The Solvotermal Method, Wahyuni Eka Putri, Ahmad Sjahriza, Sri Sugiarti

Chimica et Natura Acta

The distinctive optical properties of carbon dot (CD) make CD is one of the most widely developed carbon nanomaterials today. CD can be synthesized from materials that high in carbon content, such as spent coffee grounds. The optical properties of synthesized CD are influenced by several factors, including the solvent used to synthesize it and the purification method. The purification process that can be done is dialysis. However, this technique is not always used in several researches to purify CD. This study aims to synthesize CD from spent coffee grounds through solvothermal methods with three different solvents, which are water, …

Maggot As A Bioconversion Agent Of Cow Blood Waste And Date Pulp Into Feed Raw Materials: A Chemical Profile Study, Imra Atun Helmi, Hidayati Nufus, Ikrima Ahdavia, Muhamad Farid, Ahmad Sjahriza

Chimica et Natura Acta

Cow blood waste and date residue become environmental problems if not appropriately managed. So far, there has yet to be any special management to handle the waste. On the other hand, cow blood waste and date pulp can be efficiently decomposed by maggots. This research was carried out to utilize organic waste as maggot cultivation by producing animal feed materials high in protein and fat, and to determine the best composition in the feed medium. Maggot feed treatment consisted of household organic waste as P0, mixed feed as P1, the ratio of cow blood waste to date pulp P2 (1:1), …

Effectiveness Of Magnetic Nanocomposites Modified With Reduced Graphene Oxide Derived From Spent Coffee Grounds For Pharmaceutical Waste Remediation, Raisya Fakhira Khairani, Faisha Nurqisthi, Sindhi Ika Nuari, Syifa Rahmalia Herwinta, Aqilla Irfa Muthia Rahma, Diana Rakhmawaty Eddy

Chimica et Natura Acta

The Covid-19 pandemic significantly inflluenced the growth of the pharmaceutical industry in Indonesia, leading to environmental challenges, particularly with the discharge of pharmaceutical wastewater. Traditional treatment methods, such as flocculation and coagulation, hav limitations as they produce large volumes of activated sludge. An alternative approach for remediating this wastewater is the use of magnetite nanocomposites modified with reduced graphene oxide. This material leverages the unique properties of reduced graphene oxide, enhancing the separation and transfer of electron-hole pairs generated in the photogeneration process and significantly reducing charge carrier recombination in the photocatalytic system. This study aims to determine the degradation …

Cytotoxicity Of Chromanone Acid From The Steam Bark Of Calophyllum Incrassatum Against P-388 Leukemia Murine Cells, Ulfatun Hasanah, Robi’Atul Andawiyah, Barrotut Taqiyah, Ratih Dewi Saputri, Tjitjik Srie Tjahtjandarie

Chimica et Natura Acta

Calophyllum incrassatum is one of the plant species of the Calophylloceae family and is found endemic in Kalimantan and Sumatra. This study aims to isolate chromanone acid compounds from the stem bark of C. incrassatum and determine the relationship between structure and activity against murine Leukemia P-388 cells. The extraction method used was maceration using methanol solvent, partitioned with n-hexane and ethyl acetate solvents. Separation and purification of n-hexane and ethyl acetate extracts by vacuum liquid chromatography, pressed column, and radial. Two chromanone acids derivatives, isoapetalic acid (1), and methyl isoapetalic (2), have been successfully isolated from the stem bark …

Antioxidant Potential And Active Compound Identification Of Hylocereus Costaricensis And Hylocereus Undatus Peel Extracts Using Lc-Ms/Ms, Ade Heri Mulyati, Reni Nurmayani, Diana Widiastuti, Siti Warnasih, Siska Elisahbet Sinaga

Chimica et Natura Acta

The object of this research was to determine the antioxidant potential and identify active compounds in the peel extracts of red dragon fruit (Hylocereus costaricensis) and white dragon fruit (Hylocereus undatus). Phytochemical tests were conducted to identify flavonoids, alkaloids, tannins, coumarins, and saponins. The antioxidant activity was assessed using the DPPH assay, while vitamin C content was quantified using UV-Vis spectrophotometry, and bioactive antioxidant compounds were identified through LC-MS/MS spectrophotometry. The results demonstrated that phytochemical screening revealed the presence of flavonoids and alkaloids in both extracts. Antioxidant activity assays indicated that the red dragon fruit peel extract exhibited an IC50 …

Investigating Undergraduate Students’ Statistical Literacy In Media Contexts, Samuel Waters

Dissertations

As the uses of data in society continue to expand, it is vital to prepare students to engage with data in meaningful and critical ways. Undergraduate introductory statistics courses provide an opportunity for students to develop important knowledge and skills for interpreting and questioning statistical information in social contexts. The purpose of this convergent mixed methods study was to use quantitative assessment data and qualitative interview data to investigate the statistical literacy of students in an undergraduate introductory statistics course in media contexts. This study defined statistical literacy using Watson and Callingham’s (2003) six-level construct. Specifically, this study investigated students’ …