Digital Commons Network^™

Leveraging A Centralized Fleet Assignment Management For An Aviation Resilience, Inof Seno Acton Mr., Sutanto Soehodho, Nahry Yusuf

Smart City

Since deregulation in the aviation industry, competition among airlines has intensified. This competition is shown by the increasing number of routes, service times, aircraft, and airports served. This competition causes not all flight services to meet their targets, resulting in aircraft operating less efficiently. Passenger seats are not filled, and flight delays are becoming more frequent. Obviously, this will negatively impact consumers and the airline's finances. The study focused on assigning the fleet used to serve flights to maintain existing aviation services and improve aircraft operational efficiency. This study aims to maximize profits by optimizing fleet assignments through the Centralized …

Optimization Of Sea Transportation Services In The Kepulauan Seribu Using The Vehicle Routing Problem (Vrp) Model, Darmadi Darmadi, Sutanto Soehodho, Nahry Nahry

Smart City

The Kepulauan Seribu regency relies heavily on sea transportation for passenger mobility and goods distribution. However, current systems face efficiency challenges, high operational costs, and potential imbalances between demand and service capacity. This study proposes a framework to optimize sea transportation services in the Kepulauan Seribu using the Vehicle Routing Problem (VRP) method, especially the Capacitated Vehicle Routing Problem – Many Single Depot (CVRP–MSD) model with heterogeneous fleets and mixed cargo (passenger and goods). The main objective is to minimize total operating costs, which include fixed costs of using the vessel and variable travel costs, and unmet demand, both passenger …

Galaxy Morphology Classification Using Deep Learning, Dipanwita Kundu Roy

Master’s Dissertations

Galaxy morphology is the study of the shape and visual appearance of galaxies, such as spiral, smooth, edge-on, and other morphological types. Morphological classification plays an important role in understanding how galaxies form and evolve over cosmic time. Most existing machine learning approaches for galaxy morphology classification rely solely on RGB galaxy images, which primarily capture spatial information and lack the physical spectral context of galaxies. In contrast, astronomical spectral datacubes contain rich information across multiple wavelengths, providing insights into the internal and physical properties of galaxies. However, such spectral observations are available for only a limited number of objects. …

Relay Selection And User Scheduling In Reconfigurable Intelligent Surface Assisted Millimeter-Wave D2d Communication, Lakshmikanta Sau

Doctoral Theses

Reconfigurable intelligent surface (RIS) assisted millimeter wave (mmWave) device to device (D2D) communication has recently been proposed as a viable solution to support the overwhelming data traffic in fifth-generation (5G) and beyond wireless networks. However, due to the substantial propagation and penetration losses of mmWave, a direct line of sight (LoS) link between a pair of proximity devices is required for effective communication. Static obstacles like trees and buildings can easily obstruct the direct LoS connectivity between a device pair. In such cases, RISs help to establish an indirect LoS link between an obstructed device pair by reflecting the signals …

The Efficacy Of Open Educational Resources On Achievement Outcomes In Higher Education Institutions, Charles Trevor Alder

Theses and Dissertations

Achievement gaps remain a concern in higher education, reflected in differences in academic performance, retention, and persistence. These gaps often affect students from lower socioeconomic backgrounds and underserved populations. Open educational resources (OER) have been suggested to reduce financial barriers and support student success. This study examined whether student-level and institutional-level factors predict academic performance in a business management course using OER. Average quiz scores were collected from students across 12 higher education institutions and analyzed using hierarchical linear modeling. Colleges were included in the analysis to determine whether outcomes differed based on the proportion of minority and Pell-eligible students. …

Retirement At Risk: The Political Economy Of Public Pension Governance, Allen Mendenhall, Dan Sutter

Journal of New Finance

State public pension systems manage over $6 trillion in assets while facing approximately $1.3 trillion in unfunded liabilities, raising fundamental questions about governance effectiveness and fiduciary accountability. This Article examines these challenges through the analytical framework of governance, applying insights from public choice, principal-agent models, and corporate governance to argue that details in implementation significantly impact outcomes.  We offer Ohio’s State Teachers Retirement System (STRS) as a case study. Recent governance reforms in Ohio—including legislative restructuring of the STRS board and enactment of fiduciary standards legislation modeled on the American Legislative Exchange Council’s framework—suggest the potential for earlier governance problems. …

Teacher Retention: Do Job Satisfaction, Support From Administrators, Professional Development Opportunities, Student Behavior, And School Culture Directly Affect Whether A Teacher Decides To Stay At A School Or Leave?, Robert Dawson Parrott

Education Theses and Dissertations

Teacher retention has reached crisis levels nationwide, with nearly 50% of beginning teachers leaving within five years. Teacher attrition increased to 27.3% in 2022–2023 in a large suburban school district in North Texas. This translated to over $1.1 million dollars in teacher salary expenditures alone. This Dissertation in Practice utilized mixed-methods research grounded in Improvement Science and Plan-Do-Study-Act cycles to explore five campus-level contributors to teacher retention that fell under the control of building-level administrators: job satisfaction, administrative support, professional development, campus culture, and student behavior supports. In Phase 1 a teacher intent survey (n = 63) and focus group …

The Impact Of Madden-Julian Oscillation On Rainfall Variability In South Sulawesi And Its Implications For Science Education, Misbahuddin Mansur, Pariabti Palloan, Agus Susanto

Jurnal Pendidikan Sains

This study examined the relationship between the Madden–Julian Oscillation (MJO) and rainfall variability in South Sulawesi Province, Indonesia, using daily rainfall observations from 24 stations during 1990–2020. A quantitative observational design based on long-term climatological time-series analysis was employed. MJO activity was identified using the Real-time Multivariate MJO (RMM) index, while rainfall variability was analyzed through rainfall anomalies, rainfall frequency, and spatial patterns across Seasonal Zones (ZOM). The results indicate that active MJO phases were generally associated with wetter conditions and higher rainfall frequency, whereas suppressed phases corresponded to drier conditions. Rainfall responses varied considerably among regions, with coastal areas …

Vibrations Of Tapered Beam Via The Exterior Matrix Method, Simranjit Kaur

Student Theses and Dissertations

Cell phone towers, utility poles, and traffic signal poles all use hollow, tapered beams as their main structural element. Because these structures are tall and exposed to wind forces, understanding their vibration behavior is important for ensuring stability and safety. We will use the Exterior Matrix Method to analyse a single beam, which can be used to analyse compound structures involving tapered beams. First, we find the system of four equations satisfied by the tapered beam, which can be converted to a 4 x 4 matrix. Then we find the exterior matrix, which is a 6 x 6 matrix, corresponding …

Integration Of Culturally Responsive Teaching Strategies In High School Science Classes, Pamela Chanell Williams

Student Theses and Dissertations

This qualitative case study investigated the integration of culturally responsive teaching strategies in high school science classes. The problem addressed in this study is that teachers are underprepared to employ culturally responsive teaching strategies to facilitate academic success in science courses for culturally and linguistically diverse students. By investigating the integration of culturally responsive teaching strategies during instruction, improvements can be made to the effectiveness of professional development centered on culturally responsive teaching strategies found in the Ready for Rigor framework. The conceptual framework that served as the foundation for this study was Hammond’s (2015) Ready for Rigor framework. Questionnaires, …

African American Genealogists And Family Historians: Perceptions, Motivations, And Learning Experiences, Vernita A. Morgan

Student Theses and Dissertations

In this qualitative phenomenological study, the motivations, learning experiences, challenges, and triumphs of African American genealogists and family historians will be revealed. The purpose of this study is to bridge the existing gap in the literature regarding the experiences of these individuals. The interconnectedness of self-directed learning and self-determination theory will demonstrate how these genealogists approach researching their ancestors, who were both enslaved and free people of color. Themes that arise from feedback from interviews will be used to offer answers to the research questions.

Re-Entering Public Schools Kindergarten Through 12th Grade After The Pandemic: Perceptions Of General Educators On Teaching Students With Emotional And Behavioral Disorders In Inclusionary Classrooms, Angela Larrison

Student Theses and Dissertations

The COVID-19 pandemic affected the mental health of students and teachers and caused a need for social-emotional learning to be addressed upon re-entry to Kindergarten through 12th grade public schools. Students with social and emotional behavioral disorders have experienced dismal outcomes as they are one to two years behind their peers academically and more likely to receive out-of-school suspensions, expulsions, or placement in alternative learning programs. Students with disabilities showed a loss of progress both academically and behaviorally upon re-entry of school following the COVID-19 pandemic. The problem to be addressed in this study was what effects re-entering public schools …

An Analysis Of How Educators’ Attitudes Toward Individuals With Intellectual Disabilities Impact Assessment Scores Of Students With Learning Disabilities, Felicia Baty Goings

Student Theses and Dissertations

This study analyzed how educators’ attitudes toward individuals with intellectual disabilities impact summative assessment scores of students with learning disabilities. The research problem addressed in this study was the increase in the number of special education students receiving inclusive instruction who scored at Levels 3 or 4 on the Arkansas Teaching and Learning Assessment System (ATLAS) mathematics and English Language Arts (ELA) summative assessment. The findings are relevant to educators and education stakeholders wanting to improve inclusion practices. The purpose of this correlational quantitative study was to determine whether there was a significant difference in students’ summative assessment scores and …

The Ecotoxicological Implications Of Switching From Fluorescent To Light Emitting Diode Lighting For Zooplankton Culturing And Whole Effluent Toxicity Testing, Orithea Z. Regn

Student Theses and Dissertations

In the global transition toward light emitting diode (LED) lighting, an understudied area is the impact on the culturing and testing of Whole Effluent Toxicity (WET) testing organisms, more specifically, the zooplankton species. Without comparison to the current lighting used for culturing and testing, it is unknown if there will be an impact on performance, which could affect effluent, regulatory, and product safety decisions. This dissertation investigated if culturing and reference toxicity testing using sodium chloride for Ceriodaphnia dubia, Daphnia magna, and D. pulex under LED lighting was comparable to fluorescent. Comparisons were made between two laboratories and by season, …

College Success Comparison Between First-Generation College Students And Non-First-Generation College Students In The South Texas Plains, Obed Guerrero

Student Theses and Dissertations

This study examined differences in academic success between first-generation college students and non-first-generation college students enrolled in community colleges in the South Texas region. National research has consistently reported that first-generation college students tend to experience lower academic outcomes; however, limited empirical evidence exists regarding whether these disparities persist within South Texas, a region characterized by a high Hispanic student population and a substantial proportion of first-generation students. This gap limits the ability of institutions to make context-specific decisions that support student success. The purpose of this study was to compare grade point average, fall-to-fall retention, and graduation outcomes between …

Educator Perceptions Of The Impact Of The Avid Program On Minority Students’ School Achievement, Genia Smith

Student Theses and Dissertations

While Hispanic and African American college enrollment rates have increased over the past 20 years, minority students continue to face structural and educational barriers that make it more challenging for them to prepare for and gain entry to college. The Advancement Via Individual Determination (AVID) program is a college preparatory initiative designed to provide additional academic and social support for historically disadvantaged students. Guided by a socio-cultural theoretical framework, this mixed-methods survey-based study explored the perceptions of 10 administrators and 10 teachers in a Southeast region school district regarding the impacts of AVID on minority students’ achievement. The findings revealed …

Lived Experiences Of Competency-Based Grading: Implementation In The Secondary Public School Setting, Andrew Robbins Gillespie

Student Theses and Dissertations

The implementation of non-traditional grading systems is a current theme in American public school education. Competency-Based Grading (CBG) is a system that many school districts are considering. CBG is based on essential learning objectives and streamlines the grading of those objectives. CBG also removes high stakes assessment by allowing reassessment. However, studies have shown implementation efforts are often met with obstacles for either a lack of preparation or understanding. This dissertation seeks to understand the lived experiences of educational staff with the CBG implementation process through a phenomenological study. Data was gathered through interviews, observations, and document review. The themes …

The Impact Of Academic Advising Models On Undergraduate Student Performance: A Multiple Regression Analysis, Kayla Meaders

Student Theses and Dissertations

Institutions of higher education continue to seek effective strategies to improve student persistence, academic performance, and degree completion. Academic advising is widely recognized as a key institutional support that helps students navigate academic requirements and institutional expectations. However, universities organize advising services using different structural models, and limited empirical evidence exists regarding how these models influence measurable student outcomes. This study examined the predictive relationship between academic advising models and undergraduate student success outcomes at a public university in North Texas. The study investigated the extent to which advising models, centralized or decentralized, predict cumulative grade point average, first-to-second-year retention, …

American Sign Language Recognition And Analysis Using Deep Learning, Saurabh Kumar Soni

Master’s Dissertations

In this work I build a system that recognizes isolated American Sign Language (ASL) words, and I use it to ask one fairly direct question: when training data is scarce, is it better to look at the video pixels or at the geometry of the signer’s body? To find out, I train two very different models on exactly the same clips. The first is appearance-based. Every frame is run through standard preprocessing and a ResNet50 backbone pre-trained on ImageNet, which turns it into a 2048-dimensional feature vector, and a Bidirectional LSTM then reads that sequence over time. The second model …

Enhanced Embedding For Multimodal Medical Visual Question And Answering, Akash Suna

Master’s Dissertations

Visual Answering of questions in the field of Medical which is called as (VqA) has grown as a dominant area of research that fuse processing of natural language and vision of computer often known as CV or NLP to assist in medical decision-making. However, effective multimodal fusion between medical images and clinical questions remains a significant challenge. This thesis examines the application of the Perceiver IO architecture as an efficient multimodal aggregator for medical VQA. The work has been carried out in multiple directions. First, a classification-based framework is developed by combining Vision Transformer (ViT) and ClinicalBERT alongside a Perceiver …

An Empirical Study Of Rlvr Fine-Tuning For Mathematical Problem Solving In Llms, Rashmi Konnur

Master’s Dissertations

Large language models have shown immense improvement in coding and math performances thanks to reinforcement learning boosted algorithms. However, its true impact on broadening the reasoning and analytical capacities of an LLM is still contended. In this dissertation, we outline the foundations of Large Language Models, and delve into Reinforcement Learning with Verifiable Rewards (RLVR). We discuss various strategies to efficiently manipulate memory during a fine tuning update. We finally perform RLVR fine-tuning techniques on different models with varied use cases and compare their performances, which corroborate the efficiency of RLVR.

Analysis And Machine Learning Adaptation Of A Cognitive Model For Human Memory, Trevor Cross, Aihua W. Wood

Faculty Publications

In this paper, we use the Duolingo SLAM dataset to analyze several cognitive models of second language acquisition and develop new approaches for enhanced performance. In particular, we consider the Predictive Performance Equation and some of its underlying power laws. Leveraging insights from machine learning, we develop simple one-feature models as building blocks for combined models that match or in certain cases outperform the existing models at much reduced computational cost. In addition, a neural network with one fully connected hidden layer is constructed that outperforms all other models on sufficiently large datasets.

Boiling Flow Estimation For Aero-Optic Phase Screen Generation, Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman, Matthew R. Kemnetz

Faculty Publications

Aero-optic effects due to turbulence can reduce the effectiveness of transmitting light waves to a distant target. Methods to compensate for turbulence typically rely on realistic turbulence data, which can be generated by i) experiment, ii) high-fidelity computational fluid dynamics (CFD), iii) low-fidelity CFD, and iv) autoregressive methods. However, each of these methods has significant drawbacks, including monetary and/or computational expense, limited quantity, inaccurate statistics, and overall complexity. By contrast, the boiling flow algorithm is a simple, computationally efficient model that can generate atmospheric phase screen data with only a handful of parameters. However, boiling flow has not been widely …

Operational Feasibility Of Reinforcement Learning For Vehicle Routing Under Heterogeneous Fleet Capacity Constraints, Freddy Giovanny Aviles Moreno

Electronic Theses and Dissertations 2020 - Present

Reinforcement learning methods have demonstrated strong performance on vehicle routing benchmarks, yet their behavior under severe capacity constraints remains unexplored. This dissertation investigates whether PPO-based neural routing policies maintain operational viability when vehicle capacity is severely constrained, as occurs in resource-limited rural logistics settings.

Through controlled experiments on synthetic instances and validation on real-world rural healthcare networks in Florida, this research reveals a critical capacity threshold effect. Moderate capacity reductions from 40 to 20 produce negligible performance loss (4.1%), while severe reductions to capacity 10 trigger catastrophic failure with 243% degradation, manifested through degenerate single-customer routing patterns. Convergence analysis identifies …

Scattering From Analytic And Piecewise Analytic Inhomogeneities, Narek Hovsepyan, Michael S. Vogelius

School of Mathematical & Statistical Sciences Faculty Publications

We study scattering for the linear Helmholtz operator in two dimensions and develop a technique which can be used to ascertain scattering of a given incident wave from very regular inhomogeneities. This technique is then applied to a number of interesting examples.

Photophysical Behavior Of Ruthenium-Based Complexes: A Study Of Ligand Variation And Encapsulation In Metal-Organic Frameworks, Delaney S. Sellers

USF Tampa Graduate Theses and Dissertations

Ruthenium (II) polypyridyl complexes have emerged as a prominent class of compounds in inorganic photochemistry due to their structural robustness, reversible redox chemistry, and tunable excited-state dynamics. Central to the investigation of these systems is the ability to manipulate the triplet metal-to-ligand charge transfer state (3MLCT). In the context of photoactivated chemotherapy (PACT), the strategic deactivation of this MLCT state to populate a dissociative triplet ligand field state (3LF) can enable the controlled, light-triggered release of caged cytotoxic agents. This work focuses on understanding the caging mechanism of various ligands to optimize the eventual delivery of cytotoxic ligands. In this …

Development Of A Coupled Hydrological-Nitrogen Modeling Framework For Urban Stormwater Pond Analysis, Tione Grant

USF Tampa Graduate Theses and Dissertations

Urbanization impacts the hydrological and biogeochemical processes that regulate water quality in downstream ecosystems, leading to increased stormwater volume and nitrogen loads in receiving aquatic environments. Although stormwater ponds are designed as simple hydraulic storage basins, they function more like managed ecosystems within urban drainage systems, offering both hydraulic attenuation and passive nutrient treatment. However, nitrogen removal efficiency varies significantly and depends on interactions between hydrological and biogeochemical factors. This thesis details the development, calibration, validation, and sensitivity analysis of a coupled hydrological-nitrogen model framework for Aaran’s Pond, an urban stormwater pond in Hillsborough County, Florida.

A process-based water budget …

Trophic Structure Of Reef-Fish Assemblages In The Eastern Gulf Of Mexico Varies By Depth And Reef Type, Jessica L. Van Vaerenbergh

USF Tampa Graduate Theses and Dissertations

Globally, marine ecosystems are increasingly threatened by anthropogenic stressors, leading to reef degradation, changes in reef-fish assemblages, and altered trophic structure. In this study, I investigated reef-fish underwater visual survey data collected over a decade (2013-2023) from paired natural and artificial reefs in the eastern Gulf of Mexico. I applied the novel Normalized Reef Status Index (NRSI) to evaluate how biomass was distributed across the three trophic categories (i.e., Lower Trophic Position (LTP; 2.0-2.9), Central Trophic Position (CTP; 3.0-3.9), and Upper Trophic Position (UTP; ≥4.0). This index is a metric to assess the ecological status of reef systems by investigating …

Development And Evaluation Of The East Florida Coastal Ocean Model (Efcom), Orion B. Scharton-Witmer

USF Tampa Graduate Theses and Dissertations

Florida’s Atlantic coast has abundant resources in beaches, state parks, aquatic preserves, and wildlife refuges as well as densely populated coastal cities in low lying areas that are all subjected to natural disaster threats from the oceans. There is an urgent need for a high-resolution coastal ocean circulation model for this region. Based on the application of the Finite Volume Community Ocean Model (FVCOM), an East Florida Coastal Ocean Model (EFCOM) is developed, downscaling from the deep ocean, across the continental shelf, and into the estuaries. It employs an unstructured grid with horizontal resolution varying from 3 kilometers at the …

A System Dynamics Perspective Of User Adaptation: The Case Of Exoskeleton Technology, Enzo Novi Migliano

USF Tampa Graduate Theses and Dissertations

Technology implementation is a common occurrence in organizations to which workers must adapt. Although research on workers' technology acceptance is widely spread, research on the workers' technology adaptation process is less represented in the literature. The discrepancy in the literature permeates research on new technologies currently being implemented in organizations, such as occupational exoskeletons. As in other technologies, the variance research perspective dominates the literature on exoskeleton implementations. The current thesis aims to foster process research by formalizing the coping model of user adaptation (Beaudry & Pinsonneault, 2005) and exploring research questions regarding workers' adaptation to general technology and exoskeletons. …