Digital Commons Network^™

Koszul Cohomology Of Canonical Products, Alexander Scott Duncan

Graduate Theses and Dissertations

In this thesis, we give a complete classification of the Koszul cohomology groups K_p,₁(C, B, ω_C ⊗ B) on a smooth curve C of genus g ≥ 2 with B p-very ample. Such a classification in the case B = ω_C has been incomplete until [5]. The classification follows easily from our main result which precisely calculates K_p,1(C, B, B ω_C ⊗ B) in terms of h⁰(C, B). This result also handles the case B = ω_C. A straightforward …

Rotation Errors Due To Field Quantization For Simultaneously Driven Atoms, Hunter Lindemann

Graduate Theses and Dissertations

If we want to physically implement qubits by using two level atoms within a cavity, then certain single-qubit gates (such as the X-gate) can be performed by bathing the atoms in an electromagnetic field from a laser. If the average photon count n̄ of the field greatly exceeds the number of N qubits, then the slight fluctuations of the field's phase and amplitude are mostly negligible. However, such a strong field might require more energy than what is desirable for the setup. If a weaker field is used in which phase and amplitude fluctuations might be noticeable, then the …

Leveraging Machine Learning Models For Enhanced Landslide Prediction In Western North Carolina, Andrew Edmonds

Graduate Theses and Dissertations

Landslides pose significant hazards to human safety, infrastructure, and the environment, particularly in regions of high elevation that experience extended periods of heavy rainfall. This research focuses on preparing and evaluating landslide susceptibility maps (LSMs) for the Blue Ridge Mountains, a portion of the Appalachian Mountains in western North Carolina, utilizing three machine learning algorithms: Logistic Regression, Random Forest, and Gradient Boosting Regression. Sixteen landslide conditioning factors, reflecting topographic, geological, environmental, and anthropogenic influences, were identified for model input. The landslide inventory database, comprising 7,350 locations, was randomly divided into training (80%) and testing (20%) sets. The performance of each …

Perceiving School Success: A Phenomenological Study Of Asian Indian Parents, Scott Nozik

Graduate Theses and Dissertations

This phenomenological qualitative study aimed to explore how Asian Indian parents at East Ridge Elementary School perceived student success. The research sought to understand their experiences, their views on student success, and the factors they perceived as supports or barriers to achieving that success. Interviews with 14 Asian Indian families revealed four major themes: Positive School Experiences, Academic Programming, Holistic View of Education, and Parental Engagement. While communication emerged as a central element, it was not categorized as a theme but rather as a supporting factor. The study found that parents expressed satisfaction with the school’s cultural inclusivity and sense …

How A College Course Benefits Under-Resourced High Schoolers Interested In Veterinary Medicine, Gwendolyn R. Svenson, Olivia Arnold, Patricia Vigil, Naomi Nishi, Christianne Magee

Journal of Youth Development

The Veterinary Perspectives Institute (VPI) was designed to address the challenges faced by underrepresented youth who are interested in veterinary medicine. This study examines the VPI, a tuition-free program that introduces students from under-resourced high schools to veterinary medicine and One Health through a hands-on, transdisciplinary approach. The VPI integrates One Health concepts by linking human, animal, and environmental health in the context of veterinary medicine. The program’s aim is to foster college readiness and career exploration in veterinary and biomedical fields, while also addressing barriers to diversity in veterinary medicine. Through hands-on learning and case studies in One Health, …

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 …

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 …

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 …

Cellular Telemetry For Real-Time River Flow Velocity Data From Fluvial Acoustic Tomography Loggers, Joshua Lee Seymour

Honors Theses

Streamflow is a critical element in understanding watershed processes and the effects of land use on those processes because it is the primary medium through which water, sediment, nutrients, organic material, thermal energy, and aquatic species move. Fluvial Acoustic Tomography (FAT) systems offer accurate direct measurements of river section-averaged flow velocity by measuring reciprocal acoustic travel times between at least two acoustic nodes positioned on opposite riverbanks. However, similar to many in-situ sensors used in estuarine and riverine environments, FAT loggers require manual data retrieval, which is time-consuming, labor-intensive, and limits real-time access and increases maintenance costs. This project presents …

Engaging Scientific Sense-Making: An Analysis Of Participation Within Informal Science Interaction, Spencer Barbier

Honors Theses

While science learning in formal educational settings has been extensively examined using frameworks such as Bloom’s Taxonomy, its application to informal science educational environments remains underexplored. Informal science education—occurring outside traditional classrooms—presents unique challenges for evaluation due to its unstructured nature and diverse audiences. This action research study aimed to address this gap by developing and testing a framework that categorizes learner responses into high-order and low-order answers, based on Bloom’s six cognitive domains. The study was conducted at the Hattiesburg Zoo, where a docent volunteer presented two separate docent boxes, or mini science lessons, to members of the public. …

The Effect Of The Black Ink Red Ink Testing Method On Anxiety Levels, Test Performance, And Note-Taking Behavior Among College Students, Peyton Murphy

Honors Theses

Anxiety among students has emerged as a pressing concern due to its significant impact on academic performance and mental well-being (Chen, 2004; Davis, DiStefano, & Schutz, 2008) and is particularly evident in student performance within STEM-related courses (Magula, 2019; Vakili & Pourrazavy, 2017). Previous research has explored various factors influencing test anxiety, including testing methods. The present study examined a testing method called "Black Ink Red Ink" (BIRI), proposed by Rodgers and Rodgers (2011). The effects of the BIRI method were examined on (1) test anxiety, (2) test scores, and (3) note taking motivation and behaviors. Thirty-eight students in a …

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 …

A Spectroscopic Survey Of Atmospheres Of Super-Earths, Luke Brust

Honors Theses

Recent research has made it possible to use spectroscopy to analyze the composition of the atmospheres of exoplanets, planets that orbit other stars. Most projects thus far have focused on the atmospheres of gas giants, as it is less challenging to observe them with available equipment. This project studies the atmospheres of four Super- Earths, planets that have a mass greater than the Earth but smaller than Neptune. This is accomplished by processing the raw spectroscopic data from the Hubble Space Telescope and modeling the atmosphere using the program 𝝉-Rex3. This survey found clear results from two of the selected …

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 …

Chemistry Education At The University Of Southern Mississippi Through Computation And Active Learning Methods, Sadie Pitre

Honors Theses

Education is one of the pillars of society. It evolves alongside scientific progress, shaping how students learn and engage with complex topics. The incorporation of new educational standards at The University of Southern Mississippi (USM) was implemented in two parts: through computational chemistry laboratory exercises for teaching laboratories and through the synthesis of organic molecules for research projects in an upper-level spectroscopy class. The goal of these projects is to improve learning of abstract and/or complex topics beyond the teaching methods traditionally utilized in the undergraduate laboratory and in the classroom.

Computational chemistry, which uses theoretical calculations to model molecular …

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, …

Synthetic Efforts Towards An Analog Of Ly426965, Macy Sproles

Honors Theses

The 5-hydroxytryptamine_1A (5-HT_1A) receptor is a key target in the treatment of various neuropsychiatric conditions, and the development of selective antagonists offers promising therapeutic potential.²⁴ This study aimed to develop a synthetic analog of LY426965, a selective 5-HT_1A receptor antagonist. The synthetic route was initiated from dimethyl-2-phenylmalonate, employing pig liver esterase (PLE) as an enantioselective biocatalyst to achieve regioselective hydrolysis of one ester moiety in the malonic diester intermediate.¹⁷ Through a series of stereochemically controlled transformations, a new intermediate was successfully synthesized. Although the target molecule was not obtained, a new compound was synthesized …

Smoking And Oral Health In The Tipu Maya: A Study Of Nicotine In Dental Calculus, Emily Byrd

Honors Theses

Tobacco smoking was a deeply rooted tradition in Maya society, often associated with ritual and daily life, and may have contributed to patterns of dental health. However, despite its cultural significance, direct biological evidence of tobacco use in ancient populations is rare. This study addresses that gap by analyzing nicotine residues preserved in dental calculus from the Tipu Maya, offering new insight into both cultural practices and potential health impacts.

Mass spectrometry identified molecular peaks corresponding to nicotine and its degradation products within the calculus samples.  Analysis revealed that over two-thirds of the individuals tested positive for nicotine, supporting the …

The Legality Of Autonomous Weapon Systems Within The Context Of The Law Of War, Zack Naqvi

Barry Law Review

No abstract provided.

Novel Trimethoprim-Based Metal Complexes And Nanoparticle Functionalization: Synthesis, Structural Analysis, And Anticancer Properties, Abbas M. Abbas, Hossam H. Nasrallah, A. Aboelmagd, W. Christropher Boyd, Haitham F. Kalil, Adel S. Orabi

Chemistry Faculty Publications

In this study, we synthesized a novel trimethoprim derivative, 4-(((2-amino-5-(3,4,5-trimethoxybenzyl) pyrimidine-4-yl)imino)methyl)benzene-1,3-diol (HD), by the reaction of trimethoprim with 2,4-dihydroxybenzaldehyde. We then prepared metal complexes of this derivative with Cu(II), Co(II), Ni(II), Ag(I), and Zn(II) and functionalized them with ZnO and Au nanoparticles. Their structures were confirmed through 1H NMR, mass spectrometry, FTIR, conductivity, thermal analysis, magnetic susceptibility, X-ray diffraction, UV-Vis spectroscopy, and TEM, revealing octahedral geometries for all complexes. Surface features were investigated using density functional theory (DFT) analysis. Pharmacokinetic parameters and target enzymes for HD and its complexes were computed using the SwissADME web tool, with the BOILED-Egg model …

Identifying Trends Among University Club Athletes, Emma M. Griffin, Laura Jean Burton

Honors Scholar Theses

This study explores the factors influencing students’ decisions to join and remain involved in club sports at the University of Connecticut. Drawing on survey data and in-depth interviews with current club sport athletes, the research investigates how demographic, socioeconomic, and personal background variables such as prior sport involvement, academic motivations, and social aspirations shape patterns of participation. Findings suggest that students from higher socioeconomic backgrounds and those with significant competitive youth sport involvement comprise most club sport athletes, often citing a desire for balance, community, and stress relief as key motivators to joining. These results align with prior literature on …

The Effect Of Non-Profit Organizations On The Passage Of Climate Change Legislation In Connecticut, John-Henry Burke

Honors Scholar Theses

Connecticut has a long history of climate action. In this study, I looked into the effect that non-governmental organizations have on the passage of climate change legislation in Connecticut. Eighteen different climate policy stakeholders, including legislatures, non-governmental organization (NGO) staff members, youth activists and state employees were interviewed to gain their perspective on how non-profits forward climate initiatives. I found that non-profit organizations do have a significant impact on the passage of climate change legislation in Connecticut by working as providers of information to legislators and mobilizers of constituents. This impact can be limited by various political factors.

Signal Modeling Of High Purity Germanium Detectors, Brooke Parker Thibodeau

Honors Scholar Theses

Pulse shape analysis can be used to analyze radiation incident on a semiconductor diode detector. Finite element analysis (FEA) can be used to simulate high purity germanium detectors with user-specified geometry, impurity concentration, and bias voltage. Subsequent streamline calculation can be used to conduct pulse shape analysis for single and multiple site gamma-ray interactions within the detector volume. Cross sections of the detector can be visualized by contour plots of the electric field, drift velocity magnitude, and collection time, as well as t30 and t90 rise-time values.

The Good, The Bad, The A.I. . . . And Drake?, Kara Farrell

Barry Law Review

Artificial intelligence is an impressive technological innovation. There is great potential for artificial intelligence programs to aid individuals in their daily lives, including in the workplace. Artificial intelligence is becoming more prevalent in the lives of individuals around the world and is more easily accessible to both the general public and business professionals. This has expedited the process of completing many remedial and time-consuming tasks. Legal professionals have already begun using generative artificial intelligence to reduce the amount of time they must spend on research and drafting small motions. Artificial intelligence has also allowed users to create new forms of …

Enhancing A Culture Of Stem Attitude And Learner Outcomes Through Design Thinking And Coding With Robotics: A Mixed Methods Study In Fifth Grade Education, Nicole R. Sarty

Boise State University Theses and Dissertations

Design Thinking (DT) is human-centered, multidisciplinary, and part of the constructivist theory of learning. Using DT in the classroom requires students to explore, collaborate, and communicate with others. Applying DT strategies to authentic real-world robotics projects can increase learner outcomes and improve the STEM attitude in a classroom. This study tested if using real-world coding projects with design thinking strategies in the general education classroom led to an increase in STEM attitude and learner outcomes. Fifth grade curriculum was integrated directly into the classroom with two authentic real-world coding projects allowing for a deeper understanding of content, making this study …

5g Network Slice Vulnerabilities And Exploit Chaining Through Enablers, John Breeden

Electronic Theses and Dissertations

Network slicing provides fundamental support for the enhanced features of 5G. Network slicing enablers, such as software-defined networking and network function virtualization facilitate the separation of the physical distributed infrastructures and the functions that create isolated slices. With this framework, the network slice is no longer under the control of a single entity. Multiple infrastructure providers share responsibility for the slice. The 5G architecture derives from multiple services, distributed over great distances, and managed by multiple parties. Each enabler and provider adds vulnerability to network slicing. We examine the interweaving of these enablers to identify vulnerabilities, discuss potential mitigation, and …

Approaching The Uno Volumetric Piv, Dugan Ewelt-Mcauliffe

Senior Honors Theses

This thesis provides necessary background, theory, set-up procedure, and processing recommendations for the correct operation of the University of New Orleans Bosie Bollinger School of Naval Architecture and Marine Engineering tomographic particle image velocimeter (PIV). PIV is a useful tool for the fluid dynamitist, and the College’s PIV is a state-of-the-art example able to make high precision 3D fluid velocity measurements within a fluid volume. Using the PIV is hardly easy though. It takes a dedicated effort to set-up, precise calibration, and an understanding of how the system works to be able to properly run an experiment. This paper details …

An Assessment Of The Effects Of Indirect Consultation In Improving Quality Of Life For Adults With Intellectual And Developmental Disabilities, Sarah Michele Russell

Electronic Theses and Dissertations

Seventeen percent of the total population of children are living with an intellectual / developmental disability (IDD), and while resources and therapeutic interventions are accessible during early childhood years, they often cease after turning 21 years old. As a result, many adults with IDD do not acquire the skills necessary to live independently and sustain employment or meaningful relationships, impacting their independence and quality of life. The purpose of this study is to understand how self-management training (in the form of indirect consultation) for adults with IDD influence independence and socially significant behavior in relation to quality of life. The …

Flow Field Surrounding Bluegill (Lepomis Macrochirus) During Suction-Feeding, Jensine Caroline Coggin

Electronic Theses and Dissertations

Suction-feeding is a common method for capturing prey by aquatic organisms and contributed to the diversification of fishes by enabling them to consume a wide range of prey. Suction-feeding is a complex fish-fluid interaction governed by various hydrodynamic forces: inertia, unsteady, viscous, and pressure gradients. These forces are described by the coupling between the flow physics equations (Navier-Stokes) and the dynamic behavior of the fish (motion and forces). However, the distribution of the pressure field that drives this process, and the extent to which suction-feeding is three-dimensional, remain underexplored. I estimated the pressure within the flow field surrounding the mouth …

Modules Of Finite Projective Dimension And Singularities, Nawaj Kc

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

In the first part of this thesis, we study liftings of modules of finite projective dimension. We introduce a notion of “Serre liftable” modules and deduce applications to multiplicity conjectures in local algebra. In the second part, we introduce and study a module of mixed K\"ahler differentials for finite algebras over ramified discrete valuation rings of mixed characteristic. We state and prove a Jacobian criterion for computing the singular loci of such algebras.

Advisors: Jack Jeffries and Mark Walker