Digital Commons Network^™

Archivist, Subject Librarian, And Education Faculty Collaboration: Co-Instruction In History Of Education Classes, Laura Cameron, Kara Flynn

Collaborative Librarianship

In many academic libraries, primary source instruction happens in a vacuum, and students don’t always make connections between the skills they learn in a primary source instruction session and skills they may have already learned in information literacy-focused library instruction that they have participated in previous courses. This case study describes the design and objectives of an instructional partnership formed between an Education & Engagement Archivist, Education Librarian, and History of Education professor at a public, four-year university. The Education & Engagement Archivist and Education Librarian worked in tandem to develop interconnected lesson plans, allowing the Education & Engagement Archivist …

Enhancing Academic Efficiency Through Ability Grouping And Remedial Classes: The Cases Of India And Vietnam, Samwel Lwiza

Journal of Humanities and Social Sciences

Improving the performance of academically weak students remains a major challenge in developing countries, particularly in the context of the ‘leave no one behind’ agenda. This study examines the roles of ability grouping and remedial classes in enhancing academic efficiency among students in India and Vietnam. Drawing data from 17,866 students in the 2016/17 Young Lives School Survey, this study estimated efficiency scores by using the order-alpha partial frontier approach, and their determinants were assessed through a bootstrap truncated regression model. The findings indicate that ability grouping increases students’ efficiency by 3%, whereas remedial classes decrease it by the same …

Constructing Genotype And Phenotype Network Helps Reveal Disease Heritability And Phenome-Wide Association Studies, Xuewei Cao, Lirong Zhu, Xiaoyu Liang, Shuanglin Zhang, Qiuying Sha

Michigan Tech Publications

Background

Analyses of a bipartite Genotype and Phenotype Network (GPN), linking the genetic variants and phenotypes based on statistical associations, provide an integrative approach to elucidate the complexities of genetic relationships across diseases and identify pleiotropic loci. In this study, we assess contributions to constructing a well-defined GPN with a clear representation of genetic associations by comparing the network properties with a random network, including connectivity, centrality, and community structure. Then, we extend our discussion to include two applications of bipartite GPN in disease heritability enrichment analysis and phenome-wide association studies (PheWAS).

Results

We construct network topology annotations of genetic …

Free Probability Theory Over The Scaled Hyperbolic Numbers, Daniel Alpay, Ilwoo Choo

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this paper, we introduce a notion of free probability over the scaled hyperbolic numbers. Scaled hypercomplex numbers {D_t} _t∈R are constructed as sub-structures of scaled hypercomplex numbers {H_t} _t∈R under the scales (or, the moments) of the set R of real numbers.We show that if t < 0, then the classical free probability theory covers our free probability on {D_t} _{t< 0}; if t > 0, then our free probability on {D_t} _t>0 is represented by the free probability over the classical hyperbolic numbers D = D₁; and if t = 0, then the free probability on D₀ is actually over the …

Modern Technology Addiction: Developer Duty Of Care, Jonah Hampton

Honors College Theses

Technology addiction includes any frequent use of technology which interferes in the user’s life. The subject continues growth as an epidemic and research field, yet prior literature does not often analyze the role of technology developers. This study performs a literature and legal synthesis to evaluate user and company responsibility, implications of responsibility, and promising solutions. Post 2020 literature was selected for coverage on context, addictive features, effects, solutions, or perspectives on law. Legal examples from different addiction industries were also selected for analysis to understand previous precedents. The study found a pattern of addictive traits, persuasive design, and recurring …

Flooding Behavior Near The Us/Canada Border: Complications And Approaches, Maria T. Dodson

Honors College Theses

Flood forecasting remains a major challenge due to the nonlinear nature of hydrological systems and uncertainties in environmental data. This study aimed to address the prevalent challenges that arise from forecasting flooding behavior. To address the inherent complexity of hydrological forecasting, a machine learning framework was developed and trained on major contributing factors. To achieve an optimal balance between computational efficiency and predictive performance, a Gated Recurrent Unit (GRU) was selected as the optimal machine learning model. As the chosen dataset, North American Land Data Assimilation System Phase 2 (NLDAS2), is known to have inaccuracies in the important feature Relative …

Mississippi River Pre-Loess Terrace Deposits: Distribution Of Aggregate Resources, Jonathan Leard

Theses and Dissertations

Pre-loess Terrace Deposits are a Pleistocene, high-quality aggregate resource of gravel, sand, and clay subjacent to loess of varying thickness along the eastern valley wall of the Yazoo Basin in Mississippi. This project delineated 1,230 mi2 of this resource with a volume greater than 33 billion yd3 from the misinterpreted Citronelle Formation in Desoto, Tate, Marshall, Panola, Tallahatchie, Yalobusha, Grenada, Carroll, Holmes, Yazoo, Madison, Hinds, Warren, Jefferson, Claiborne, Adams, Franklin, and Wilkinson Counties with nine terrace base levels at 40, 180, 220, 250, 270, 300, 330, 340, and 370 feet msl indicated by test holes, gravel mine data, outcrop studies, …

Space Utilization Optimization, Troy D. Rockwood

Theses and Dissertations

Outer space is a crucial and increasingly leveraged resource for advancing human quality of life; however, its utility is constrained by inherent physical and spectral limitations. This thesis examines two distinct resource optimization problems critical to the sustainable development of space. The first part of this work addresses the optimization of physical orbital space. Unlike a terrestrial resource, mismanagement of this orbital space can lead to a runaway cascade of collisions, destroying the utility of entire orbital regimes. This thesis proposes a conjunction metric to quantify orbital capacity based on Keplerian parameters. We develop a computational tool to measure and …

A Generalized Framework For Singular Spectrum Analysis: Data-Adaptive And Regularized Extensions, Ishmael Jesse Narh Adikorley

Dissertations (1934 -)

Singular Spectrum Analysis (SSA) has emerged as a powerful nonparametric tool for time series analysis, enabling decomposition, reconstruction, and forecasting of structured signals without reliance on strong model assumptions. However, traditional SSA frameworks face notable limitations when applied to high-dimensional, noisy, and functional time series data commonly encountered in modern applications. This dissertation presents a comprehensive generalization of SSA through the development of a unified Hilbert space-based framework that systematically integrates both data-adaptive and regularized extensions. The proposed framework, termed Hilbert Space SSA (HSSA), extends classical SSA by embedding time series in Hilbert spaces, thus encompassing scalar, multivariate, and functional …

Heat Increment Of Feeding In The Common Bottlenose Dolphin (Tursiops Truncatus) Contributes Moderately To Field Metabolic Rate Estimates, Ioulia Koliopoulou, Stacy L. De Ruiter, Jordi Altimiras, Josefin Larsson, Julietta Arenarez, David Rosen, Andreas Fahlman

University Faculty Publications and Creative Works

Digestion elevates metabolism through the heat increment of feeding (HIF) – the energy expended on mechanical and biochemical processes after eating. Quantifying this cost is essential for bioenergetic models that predict energy flow and prey requirements in populations. Using breath-by-breath respirometry, we measured oxygen consumption (V̇ O2 ) in eight common bottlenose dolphins (Tursiops truncatus) before and after feeding standardized meals (1659–2658 kcal of capelin and herring). Metabolic rate rose by ∼37% above resting levels, peaking 60 min after feeding before returning to baseline within 2 h. When scaled across the day, digestion increased daily metabolic needs by ∼8.2% of …

Application Of Augmented Reality Technology As A Dietary Monitoring And Control Measure Among Adults: A Systematic Review, Gabrielle Victoria Gonzalez, Bingjing Mao, Ruxin Wang, Wen Liu, Chen Wang, Tung Sung Tseng

School of Public Health Faculty Publications

Background/Objectives: Traditional dietary monitoring methods such as 24 h recalls rely on self-report, leading to recall bias and underreporting. Similarly, dietary control approaches, including portion control and calorie restriction, depend on user accuracy and consistency. Augmented reality (AR) offers a promising alternative for improving dietary monitoring and control by enhancing engagement, feedback accuracy, and user learning. This systematic review aimed to examine how AR technologies are implemented to support dietary monitoring and control and to evaluate their usability and effectiveness among adults. Methods: A systematic search of PubMed, CINAHL, and Embase identified studies published between 2000 and 2025 that evaluated …

Technological Disruption And Regulatory Response: The Case Of Decentralised Finance, Jakub Wisła, Jolanta Bartoszewska

Journal of Banking and Financial Economics

This article examines responses to the regulatory challenges posed by decentralised finance (DeFi), a fast-evolving domain of blockchain-based financial innovation. It investigates the factors shaping divergent regulatory strategies, with a focus on the European Union’s comprehensive cryptoasset framework and selected comparative insights. Adopting a qualitative legal methodology – combining doctrinal-functional analysis, multivocal literature review, and two case studies – the authors explore how regulatory responses are influenced by three key variables: legal tradition, the financial function performed by blockchain-based solutions, and the level of technological and institutional autonomy. The case studies – Bitcoin as a payment instrument and cryptoassets as …

Sex Disparities In Prescription Opioids Associated Cardiovascular Adverse Events, Li Ma

Theses and Dissertations

The opioid crisis in the United States has evolved from a medical response to pain into a nationwide public health emergency. The prescription opioids (POs) – associated cardiovascular adverse events (CVAEs) remain insufficiently studied, especially in relation to sex disparities. This dissertation investigates sex disparities in PO-associated cardiovascular adverse events (CVAEs) through an analytic framework integrating artificial-intelligence-assisted literature mining and real-world pharmacovigilance analytics. In the analytic framework, first, AI powered topic modeling was employed to uncover POs-associated CVAEs risks with a focus on sex differences. A total of 1,837 PubMed abstracts were analyzed using two methods, Latent Dirichlet Allocation (LDA) …

Measurable Imaging-Based Changes In Enhancement Of Intrahepatic Cholangiocarcinoma After Radiotherapy Reflect Physical Mechanisms Of Response, Brian De, Prashant Dogra, Mohamed Zaid, Dalia Elganainy, Kevin Sun, Ahmed M Amer, Charles Wang, Michael K Rooney, Enoch Chang, Hyunseon C Kang, Zhihui Wang, Priya Bhosale, Bruno C Odisio, Timothy E Newhook, Ching-Wei D Tzeng, Hop S Tran Cao, Yun S Chun, Jean-Nicholas Vauthey, Sunyoung S Lee, Ahmed Kaseb, Kanwal Raghav, Milind Javle, Bruce D Minsky, Sonal S Noticewala, Emma B Holliday, Grace L Smith, Albert C Koong, Prajnan Das, Vittorio Cristini, Ethan B Ludmir, Eugene J Koay

Faculty, Staff and Student Publications

Escalated doses of radiotherapy associate with improved local control and overall survival (OS) in intrahepatic cholangiocarcinoma (iCCA), but personalization remains limited because conventional size-based CT criteria correlate poorly with outcomes. We hypothesized that quantitative enhancement measurements would better predict clinical outcomes and guide individualized RT optimization. In a retrospective cohort of 154 patients, we analyzed pre- and post-RT CT scans using quantitative European Association for Study of Liver (qEASL) to derive viable tumor volumes, comparing enhancement-based metrics with size-based RECIST and linking them to outcomes via survival and mathematical modeling. Change in enhancement volume was strongly associated with OS after …

Decarbonizing California Wine: Navigating Scope 3 Emissions Challenges And Opportunities, Olivia Regalia

Master's Projects and Capstones

Climate change is already impacting the California wine industry through increases in extreme weather, such as prolonged heatwaves and atmospheric rivers. For the industry to survive, it is important for California wineries to mitigate the effects of climate change and adapt to current and future impacts. Scope 3 greenhouse gas emissions (i.e., emissions generated throughout the supply chain) from glass packaging make up 29% of a typical California winery's carbon footprint, representing both the largest Scope 3 climate impact and greatest opportunity for reductions. This research examined key factors shaping California wineries’ Scope 3 emissions reductions efforts. A mixed-methods approach …

The Effects Of Nanobubble Fertigation And Soil Conditioners To Improve Nutrient Dynamics, Soil Microbial Activity, And Chili Productivity, Betty Natalie Fitriatin, Euis Ahah Rokayah, Elsa Naila Elmyra, Tualar Simarmata, Nicky Oktav Fauziah, Hanif Fakhrurroja

Jurnal Kultivasi

Drip fertigation is a fertilization method that integrates nutrient delivery with an irrigation system, which is capable of optimizing the direct delivery of nutrients to the root zone. This experiment aims to investigate the effect of drip fertigation with nanobubble technology, and soil conditioners on the population of Phosphate-Solubilizing Bacteria (PSB) and Azotobacter spp., available phosphorus, total nitrogen, growth, and yield of red chili. The study used a Strip Plot Design with two factors and three replications. The first factor was nutrient application (solid NPK fertilizing as control; drip fertigation; and drip fertigation with nanobubble technology), and the second factor …

Production Analysis Of Seed-Derived Tea Plants (Camellia Sinensis (L.) O. Kuntze) Across Two Different Seasons, Nurlita Rahmawati, Yudithia Maxiselly, Intan Ratna Dewi Anjarsari, Heri Syahrian Khomaeni, Gerry Renaldi, Agung Karuniawan

Jurnal Kultivasi

Tea (Camellia sinensis (L.) O. Kuntze) is a major economic crop in Indonesia, yet its productivity is strongly influenced by environmental variability, particularly rainfall seasonality. Fluctuating yields under dry and wet conditions pose challenges for sustainable tea production. This study aimed to assess the effects of contrasting seasonal rainfall on seed-derived tea plants' yield and yield components. The research was conducted at a seed-derived tea plantation block in IRITC, West Java, across dry and wet seasons using field observations on tea yield, shoot proliferation, plucking quality, and environmental parameters. Statistical analyses included independent t-tests to compare seasonal differences and Pearson …

Effect Of Nano Edible Coating, Storage Temperature, And Packaging On Water Content, Weight Loss, And Color On Oyster Mushrooms (Pleurotus Ostreatus), Inneke Amalia, Warid Ali Qosim, Kusumiyati

Jurnal Kultivasi

Oyster mushrooms are one of the most commonly consumed mushrooms due to their high nutritional content, including protein, fiber, vitamins, and minerals, as well as their antioxidant properties. However, these mushrooms are easily damaged by microbes and poor post-harvest handling, which affects their quality. The combination of nano-edible coating, packaging, and storage temperature offers a solution to these issues. This study aims to evaluate the effects of nano-edible coating, packaging, and storage temperature on water content, weight loss, and the color (L*, a*, and b*) of oyster mushrooms. The study was conducted at the Horticulture Laboratory, Faculty of Agriculture, Universitas …

Lifetime Prediction Of Electrolytic Capacitors Under Variable Loadings In Electric Vehicles For Prognostics And Health Management Applications, Jaewon Lee

Electronic Dissertations and Theses, 2010-current

Aluminum electrolytic capacitors (AECs) are widely used in electric vehicles (EVs) power electronics but are also a primary source of wear-out failures. Most previously proposed lifetime models were derived under constant loading conditions and therefore cannot capture variable loading arising from seasonal or diurnal temperature swings and user-dependent driving profiles in EVs. This study develops a variable-loading lifetime prediction framework for AECs, which can be further extended to prognostics and health management (PHM). Collectively, the results of the study demonstrate a framework suitable for PHM application, in which SoD-based lifetime prediction yields reliable predictions under variable loadings. An appropriate lifetime …

Fayetteville State University Winter Commencement December 12, 2025, Fayetteville State University

Graduation Exhibit

Program for Fayetteville State University Winter Commencement December 12, 2025

Keynote Speaker: Dr. Monica Terrell Leach, Provost and Senior Vice Chancellor for Academic Affairs, Fayetteville State University

Using Quantum Annealing For Sampling And Pattern Generation In Generative Machine Learning And Catastrophic Forgetting Mitigation, Abdelmoula El Yazizi

Theses and Dissertations

The first goal of this dissertation was to understand the reasons for the absence in previous investigations of significant and consistent improvements in the trainability of Restricted Boltzmann Machines (RBM) when the Quantum Annealer (QA) was used for sampling from the RBM probability distribution. The second goal was to address the shortcomings of those previous investigations, explore possibilities of improving RBM training, and identify other machine learning applications that could benefit from sampling or from generating patterns by the QA. The first part of this dissertation focused on a Local-Valley (LV) centered approach to assessing the quality of sampling. QA-based …

Building From The Ground Up: Informing Inclusive Curriculum Design Through Qualitative Inquiry: Development Of An Early Childhood Curriculum For Children In Mississippi, Alicia Deaver

Theses and Dissertations

Curriculum is a vital component of high-quality early care and education programs. Barriers such as cost, limited education and training, and restricted access to materials often make it difficult for many programs to adopt or implement developmentally appropriate curricula. Effective curriculum implementation relies on individualization and cultural responsiveness to be fully inclusive of children of all abilities. This study addressed the formative and summative processes of the My Mississippi Adventures project, a curriculum developed for use by early childhood educators throughout the state. The curriculum was designed with direct input from early childhood educators to address the unique challenges faced …

Faculty Adoption Of The Canvas Learning Management System: An Application Of The Utaut2 Framework, Alyssa Hutcheson Mckinley

Theses and Dissertations

This study aimed to examine faculty adoption of the Canvas LMS at a public university through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. Survey data were collected from faculty across multiple colleges within the university and were used to explore the predictive power of the UTAUT2 constructs including hedonic motivation, facilitating conditions, performance expectancy, effort expectancy, social influence, habit and behavioral intention. In addition to this, disciplinary differences along with discipline-specific needs were also considered in order to better understand adoption patterns. The results of this study indicated habit, hedonic motivation, facilitating conditions, and the …

How Are Teacher Leadership Characteristics Defined?: Investigating The Development Of Leadership Identity, Role Clarity, And Administrative Support, Anna C. Daher

Theses and Dissertations

The research study investigated how graduates of a teacher leadership preparation program perceived their development as teacher leaders, the factors that supported or hindered their leadership practices, and how their lived experiences aligned with the Teacher Leader Model Standards. The mixed method qualitative research study was designed to examine how teacher leaders make meaning of their growth and enactment of leadership while remaining in classroom roles. Eighteen graduates of a teacher leadership preparation program at a public university in Mississippi completed a survey on their leadership development and current roles. Of those, six participants representing diverse educational backgrounds, experience levels, …

Assessing Water Quality And Algae In Wetland Reserve Easements In The Alluvial Valleys Of Mississippi And Louisiana, Avery June Wissmueller

Theses and Dissertations

Wetlands in agricultural landscapes play a critical role in improving water quality by retaining and transforming nutrients and pollutants. In the Mississippi Alluvial Valley (MAV), widespread conversion of bottomland hardwood forests to row-crop agriculture has diminished this natural function. The Wetland Reserve Easement (WRE) program restores wetlands on marginal farmland to recover ecosystem services. In this study, I evaluated water quality and algal productivity in WREs compared to natural reference wetlands and crop sites. Restored wetlands showed improved water quality compared to crop sites and were often comparable to or intermediate between reference wetlands. Seasonal variation and hydrologic differences shaped …

Nuclear Transparency Of Photoproduced Rho-0 Mesons., Bhesha Raj Devkota

Theses and Dissertations

Photonuclear reactions using a real photon beam offer a unique opportunity to explore fundamental aspects of QCD within the nuclear medium. The experiment E12-19-003, conducted at Jefferson Lab’s Hall D in 2021, aimed to look for the transition from hadronic to partonic degrees of freedom and to explore the predicted QCD phenomenon known as color transparency in photons, mesons, and baryons. A key objective was to examine the transition of the photons from a resolved (hadronic fluctuation) configuration to a point-like electromagnetic probe. The experiment utilized liquid deuterium, helium, and carbon foils as target nuclei, which were probed by photon …

Spectral Methods And Wavelets In Quantitative Finance Problems, Davood Damircheli

Theses and Dissertations

This dissertation leverages advanced spectral methods and wavelet techniques to address complex quantitative finance models, enhancing the computation of financial derivatives and risk assessments. Building on foundational studies, this research extends these methods to broader, intricate financial contexts. The first section explores fractional-order generalized Chebyshev wavelets (FOCW) applied to fractional advection equations, relevant in both mathematics and physics. Using a regularized beta function to compute the Riemann-Liouville fractional integral operator, this study introduces a novel numerical scheme with robust accuracy, confirmed through error analysis and empirical tests. The second part examines the fractional Black-Scholes equations for option pricing under subdiffusive …

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …

Inductively Heated Platinum Electrodes, Jayamini Madumali Mudugamuwa Hewage

Theses and Dissertations

This dissertation presents the fabrication and application of a 150 micrometer platinum microelectrode for induction heating, with a copper coil generating the electromagnetic field and the heating process controlled using pulse width modulation technique (PWM) to regulate the duty cycle of a high-frequency signal. Electrochemical characterization, including resonance frequency determination, peak-to-peak potential optimization, and scan rate variation, is conducted using a 5 mM [Ru(NH3)6]2+/3+ solution in 0.1 M KNO3 to calibrate current variations with changing duty cycles, while the temperature increase (delta T) is estimated using the Seebeck coefficient of [Ru(NH3)6]2+/3+. The study further explores the application of induction heating …

Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber

Theses and Dissertations

Optimal decision-making under uncertainty is a challenge in everything from board games to business scenario planning. With visual programming systems, end-users can utilize reinforcement learning (RL) agents to identify an optimal policy in their own stochastic environments. However, while the RL agent can demonstrate that an optimal policy exists, RL polices tend to be opaque and difficult to interpret. This thesis investigates how Large Reasoning Models (LRMs) can generate human-understandable rules from RL policies. I compare multiple approaches and models, varying the format of the RL policy provided to the LRM as well as the prompting strategy. My results show …