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An Impact Study Of Young Women's Leadership Development: A Case Study Of Kosovo, Linda Gjergji

Theses & Dissertations

This study explores the leadership development trajectories of young women in Kosovo engaged in a global leadership program, offering significant insights into their capabilities, aspirations, and the barriers they face in pursuit of leadership roles. Using a qualitative instrumental case study approach, this study examines how participation in global leadership initiatives fosters skill development, self-awareness, and civic engagement among young women in a traditionally male-dominated society. The conceptual framework of the study is comprised of Erikson's theory of Psychosocial Development (Erikson, 1968) and Positive Youth Development (Lerner, 2005). Data was collected through online semi-structured interviews and an arts-based method, revealing …

Greekmate: Communicating Startup Value Through Design And Marketing, Cameron Do-Khanh

Graphic Communication

This project examines how design and marketing can improve communication for early-stage software by applying these principles to GreekMate, a candidate management tool built for student organizations. The software functioned well but lacked a strong brand identity and clear value communication. Using Diffusion of Innovation Theory and research on UX strategy, the project focused on redesigning the brand system and marketing website to make the product easier to understand and more appealing to its audience. The redesign included a new visual direction, updated hierarchy, clearer feature explanations, and a more energetic style that aligned with student expectations. Informal user feedback …

Analyzing Urban Soil Moisture Profiles: Implications For Stormwater Management In New Haven, Ct, Tushar Ahmed

Master's Theses

Effective stormwater management is essential for enhancing the resilience of urban environments facing challenges from climate change, aging infrastructure, and increasing impervious surfaces. As cities adopt green stormwater infrastructure such as bioswales to relieve these pressures, understanding the hydrologic behavior within these systems becomes essential. This study investigated soil moisture dynamics in New Haven, Connecticut by analyzing the seven critical points (A, B, C, D, E, F′, and F) that describe pre-storm, during storm and post storm drying behavior within bioswale systems. A total of 77 bioswale sites were monitored during May and June 2025, covering 14 storm events. Soil …

Annual Report 2024-2025, Houston Academy Of Medicine - Texas Medical Center Library

Annual Reports: 1943 - Present

This file contains the Annual Report for the library from 2024-2025.

Local Llms At Jmu: Proof Of Concept, Zhen Zhang

Student Success Analytics

Presentation about how Student Success Analytics is exploring the use of locally developed Large Language Models (LLM) to support the student success & retention efforts at JMU.

A Temporal Extension Of Tasselnet With Uncertainty Quantification Using Bayesian Latent Autoregressive Model, Gayara Demini Fernando Muthunama Gonnage

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

Manual counting of maize tassels remains a time-consuming and labor-intensive process. Automating tassel counting using maize field images has received significant interest, with researchers exploring methods to streamline this task. Accurate tassel detection can substantially reduce both time and labor costs, offering a practical solution for large-scale agricultural management. Current studies in this area predominantly focus on training object detection algorithms to enhance prediction accuracy and efficiency. Images for this task are often captured in sequences, meaning they capture the exact location of the maize fields over time. However, existing tassel detection and counting methods typically ignore this sequential nature, …

Cattlefever: An Automated Cattle Fever Estimation System, Trong Thang Pham, Ethan Coffman, Beth Kegley, Jeremy G. Powell, Jiangchao Zhao, Ngan Le

Electrical Engineering and Computer Science Faculty Publications and Presentations

Farmers face the critical challenge of monitoring cattle well-being for both ethical and economic success, relying on signals like body temperature and facial expressions to assess their animals' health. However, these indicators have traditionally relied on human observation with manual measurement, which is time-consuming and subjective. Despite this clear need, no automated system currently exists for monitoring cattle body temperature, and available datasets remain limited in scope. To address these challenges, we make two key contributions: (i) We introduce CattleFace-RGBT, a novel RGB-Thermal (RGB-T) Cattle Facial Landmark dataset consisting of 2,300 paired RGB and thermal images (4,600 images in total), …

Enhancing Tribological Performance Of Graphite Coatings Through Spray Deposition And Adhesion-Promoting Polydopamine Underlayers, Adedoyin Ayomide Abe

Graduate Theses and Dissertations

Graphite is a widely studied solid lubricant valued for its low friction and layered structure. However, its application as a durable coating remains constrained by poor adhesion to metal substrates and limited wear resistance under sliding. This dissertation presents a systematic approach to overcoming these limitations by integrating deposition process optimization with surface chemistry modification to develop scalable, high-performance graphite coatings. Unlike many prior studies that focus on polished or idealized surfaces, this work targets steel substrates with elevated roughness levels (Sa ≥ 1 μm), aligning with conditions found in practical engineering components. The first phase of research begins by …

Rapid Construction Of Short Gap Crossings Using Indigenous Timber, Jack Everett Hamburger

Graduate Theses and Dissertations

This thesis examines multiple design options for constructing short span crossings for the military using indigenous timbers. Using indigenous timbers allows for a significant reduction in resources that must be brought into a site for construction. Construction time is minimized by optimizing the steps to convert indigenous timber into structural members for use as timbers in a short gap crossing. A major objective during this thesis study was to examine approaches for maximizing timber strength for design purposes and reduce timber weight for handling purposes. Wood strength and wood weight are highly dependent on moisture content. Decreasing moisture content addresses …

The Effect Of Exercise On The Development Of Gestational Diabetes Mellitus In Pregnancy: A Systematic Review Of Literature, Abigail Reiche

The Eleanor Mann School of Nursing Undergraduate Honors Theses

The purpose of this systematic review is to synthesize literature examining the relationship between using exercise as a preventative method for gestational diabetes development during pregnancy, and the effect it may have on lowering glycemic levels. Health Source: CINAHL and PubMed were systematically searched for peer-reviewed journal articles that studied pregnant women (P), and the relationship of consistent exercise (I), compared to no physical exercise (C), on lowering glycemic levels resulting in positive pregnancy outcomes (O), throughout gestation (T). Twenty articles were retrieved in accordance with the PICOT objectives. Additional criteria included only articles from 2019-2024 and articles that were …

Rural Project Management Practices: Exploring A Challenging Project Management Environment, Crystal Rose Kowalke

Student Projects for Graduate Degrees

Project professionals managing rural projects should have working knowledge or experience that allows them to work efficiently and effectively given the unique constraints and challenges of rural project work. Rural being defined in project management context as: A place with few available resources and increased logistical considerations. Unfortunately, obtaining the experience for remote projects management requires investment in time and human resources. Whether it is by the company or the subject matter expert assigned to coach/train the new project professional, this presents an issue of time and resources used to train each new project professional and get them up to …

Chicago, Tom Tipton

The Prairie Light Review

No abstract provided.

Self-Effficacy And Emotional Intelligence In Young Females; Filling The Leadership Pipeline Through Youth Development Programs, Annette Cherie Vargason

Doctor of Business Administration (DBA)

The persistent underrepresentation of women in leadership positions remains a significant global concern, stemming from systemic barriers and lower self-efficacy reported by women in leadership contexts. Current trends suggest it could take another 50 years to achieve gender parity in leadership roles. This disparity highlights a need for effective early interventions to nurture leadership skills and confidence in young women. This study examined the relationship between self-efficacy (SE), emotional intelligence (EI), and leadership aspirations among young women participating in the Courageous Girls program, relying on maternal proxy reports using General Self-Efficacy Scale (GSE) and the Brief Emotional Intelligence Scale (BEIS-10). …

The Impact Of Using The Visual, Auditory/Aural, Reading/Writing, And Kinesthetic (Vark) Model In Ballet Class: A Multifaceted Approach To Teaching Ballet Technique To Children Ages Nine To Twelve Years Old, Angelle Cain Wise

Master's Theses

The purpose of this study was to generate data that would measure the impact of the application of the Visual, Auditory/Aural, Reading/Writing, and Kinesthetic (VARK) Model learning styles on student comprehension and execution of movement in ballet class. The researcher sought to answer these questions:

Q1 Does teaching students’ using their preferred learning style help them understand the movement thoroughly?

Q2 Does teaching students’ using their preferred learning style help them execute the movement more precisely?

There was a total of twelve participants ages nine to twelve years old and two observers, whom were colleagues of the researcher. A set …

So You Think You Can Teach Dance?: Evaluating Effective Indicators And Assessments For Teaching Ballroom Dance In A High School Setting, Alyssa Arnold

Master's Theses

The purpose of this study was to determine the most effective learning indicators of ballroom dancing for high school dance educators in Utah’s DSD so that a later date, updated rubrics and assessments could be created and presented as artifacts to DSD’s Fine Arts Supervisor for future teachers. The researcher sought to answer the following questions:

Q1 How are teachers currently assessing students’ ballroom dancing?

Q2 What are the most important learning indicators to teachers?

Q3 Are the learning indicators in alignment with the required standards?

This research took place over two sessions held during students’ regularly held ballroom dance …

Extreme Bandgap Al0.63Ga0.37N Quasivertical Schottky Barrier Diodes With A High Baliga Figure Of Merit Of 630 Mw Cm−2, Abdullah Al Mamun Mazumder, Shahab Mollah, Kamal Hussain, Abdullah Mamun, Seongmo Hwang, Tariq Jamil, Grigory Simin, Asif Khan

Faculty Publications

"Extreme bandgap n-Al_0.63Ga_0.37N quasi-vertical Schottky barrier diodes (SBDs) with doping densities of ≈8 × 10¹⁷cm⁻³ (Sample A) and ≈2 × 10¹⁷cm⁻³ (Sample B) are grown on an AlN/sapphire substrate using metalorganic-chemical vapor deposition (MOCVD). Sample A achieves a high forward current density of ≈59.5 kA cm⁻² at 10 V with an I_ON/I_OFF ratio of ≈10⁸ (calculated from the forward current at + 3.8 V and the reverse current at −1 V) and an ideality factor of 2.8. Sample B has a forward current …

Small Laser-Textured Dimples For Improved Tribological Performance Of Cocrmo In Artificial Hip Joints, William Basore Bennett

Graduate Theses and Dissertations

Total hip replacement is a highly successful surgical intervention that restores mobility and improves quality of life for patients with severe joint degeneration. However, the long-term durability of artificial hip joints remains limited by tribological challenges, particularly wear-related failures that can lead to osteolysis and revision surgeries. In metal-on-polyethylene bearing systems, reducing friction and wear at the interface between cobalt–chromium–molybdenum (CCM) femoral heads and ultra-high molecular weight polyethylene (UHMWPE) liners is critical to extending implant lifespan. Laser surface texturing has emerged as a promising technique to improve tribological performance by introducing micro-dimples that enhance lubricant retention and reduce asperity contact. …

Freedom Of Expression In Next-Generation Computing, Brittan Heller

UC Law Journal

Extended reality (XR)—the integration of virtual, augmented, and mixed reality technologies—creates immersive, embodied, and behaviorally integrated forms of communication that challenge traditional understandings of freedom of expression. While XR offers new opportunities for creativity, civic engagement, and cross-cultural participation, its immersive nature introduces risks of censorship, surveillance, biometric profiling, algorithmic manipulation, and inequitable access.

This Article situates XR within the framework of European human rights law. It begins by identifying the technical and psychological features that distinguish XR from conventional platforms, particularly presence, immersion, and embodiment, which transform speech into multisensory and interactive experiences. It then evaluates how existing legal …

Uncovering Conserved Biosynthetic Gene Clusters And Interbacterial Interactions Of Myxobacteria In Polymicrobial Communities, Shailaja Khanal Pokharel

Electronic Theses and Dissertations

Myxobacteria are prolific producers of specialized metabolites and key contributors to microbial interactions within soil and other environments, yet fundamental questions remain about the conservation of their biosynthetic capacities and the dynamics that shape their coexistence with neighboring microorganisms. This dissertation addresses these gaps through three integrated research directions. In Chapter 2 we utilized a pan-genome framework across eleven genera and 195 sequenced genomes,including ten newly reported isolates, and found five BGCs were identified as the conserved BGCs across the Myxococcota. These clusters encode metabolites with established ecological functions, none of which are known toxins, suggesting selective maintenance of signaling …

A Comprehensive Study Of Uncertainties In The Modeling Of Binary Neutron Star Outflows, Amelia Michele Henkel

Doctoral Dissertations

Binary neutron star (BNS) mergers have recently become a tool to study extreme gravity, nucleosynthesis, and the chemical composition of the Universe in a new way. In order to accurately identify electromagnetic signals of neutron star mergers, both in the future and retroactively, better constraints on their merger signatures are required. Specifically, BNS outflow properties (such as the mass and composition) are particularly insightful, as they provide a link between the intrinsic properties (such as the stellar masses and radii) and observables. In this thesis, I put forth multiple ways of classifying uncertainties associated with BNS mass outflow models. First, …

An Integrated Study Of Instrument Performance And Scientific Yield: Evaluation Of The Grape Design, Karla Georgina Onate Melecio

Doctoral Dissertations

This dissertation presents the end-to-end development, characterization, and in-flight validation of the 3-dimensional Gamma-Ray Polarimeter Experiment (GRAPE), a wide-field-of-view (FoV) Compton polarimeter designed for high-energy astrophysics. The primary scientific motivation is to address unresolved questions in the physics of Gamma-Ray Burst (GRB) jets, for which gamma-ray polarimetry is a critical diagnostic. GRAPE is designed to measure the degree and angle of $\gamma$-ray polarization within a targeted energy band of \SIrange{50}{500}{keV} to cover the peak energy output (E$_{pk}$) of observed GRB spectra. This work establishes the instrument's scientific readiness through two principal contributions. First, the instrument's fundamental low-energy response was characterized …

Asking Nicely: Americans’ Perception Of Jordanian Arabic Speakers’ Politeness When Making Requests In English, David Henen

Electronic Theses and Dissertations

This study examines how Arabic-speaking Jordanian male graduate students at an American university in Mississippi employ request directness strategies and modifications as polite devices in oral English, and how American native speakers perceive these requests. Drawing on Brown and Levinson’s (1987) Politeness Theory and the Cross-Cultural Speech Act Realization Project taxonomy (Blum-Kulka et al., 1989a, 1989b), this study employed a mixed-methods design to examine request production and perception. Data were collected from six American English native speakers from Mississippi and six Arabic-speaking Jordanian international students, all at the same university, through six discourse completion tasks, six role-plays, and semi-structured interviews. …

Enabling Scalable Camera-Based Streamflow Monitoring With Serverless Cloud Computing, Sajan Neupane

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis introduces a modern and automated method for monitoring rivers and streams using cameras and cloud-based software tools. Traditional monitoring methods often rely on sensors placed directly in the water, which can be expensive, hard to install, and difficult to maintain, especially in remote or rough terrain. In contrast, this approach uses cameras to observe water flow from a distance, offering a safer and more cost-effective alternative. However, camera systems come with their own challenges, such as collecting large amounts of image data, transferring it reliably from the field, and analyzing it quickly enough to be useful. This research …

Social Media Mining For Extracting The Experience Of Neurodivergent Individuals On Twitter (X) And Reddit, Kartik Thakkar

All Graduate Theses and Dissertations, Fall 2023 to Present

Neurodiversity refers to the natural neurological variations in the human brain such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), dyslexia, dyspraxia, Tourette syndrome and other neurological disorders. it’s estimated that around 15% to 20% of the world’s population is neurodivergent. This means a significant portion of people experience neurological differences in how they think, learn, and interact with the world.

Social Media has become an important space for neurodivergent individuals to share their experiences, build communities, and seek support. This thesis explores how the online venues like X (Twitter) and Reddit offer themselves as digital spaces where …

Enhancing Grid Integration Of High-Power Loads Through Modular Unfolding-Based Power Conversion With Decentralized Control, Sanat R. Poddar

All Graduate Theses and Dissertations, Fall 2023 to Present

The transition to electric vehicles (EVs) is a critical step toward reducing greenhouse gas emissions and creating a cleaner, more sustainable transportation sector. However, many drivers — particularly those operating larger vehicles such as trucks and buses — face significant challenges, including limited driving range and lengthy charging times. High-power, fast-charging stations, which can rapidly replenish EV batteries, are therefore essential for mitigating these barriers and making electric transportation practical across all vehicle classes.

Despite the promise of electric vehicles, deploying high-power fast-charging stations presents significant challenges. They require large amounts of electricity, making them expensive to install, operate, and …

Design, Control, And Optimization Of Unfolding-Based Ac-Dc Topologies With Three-Port Resonant Converters For Electric Vehicle Battery Charging Applications, Aditya Zade

All Graduate Theses and Dissertations, Fall 2023 to Present

The global effort to reduce greenhouse gas emissions and reliance on fossil fuels has made electric mobility a cornerstone of sustainable transportation. This transition is driving demand for advanced charging infrastructure and more efficient power conversion systems. Power converters play a central role, not only in enabling reliable EV charging but also in integrating renewable energy sources with the grid. Because of the large amount of power involved, these converters must operate efficiently, reliably, and at low cost. Conventional high-power chargers often use two stages of conversion, which are effective but limited by size and energy losses. To overcome these …

Developing Standardized Testing Datasets For Benchmarking Automated Quality Control Algorithm Performance With Aquatic Sensor Data, Ehsan Kahrizi

All Graduate Theses and Dissertations, Fall 2023 to Present

Advances in water monitoring technologies have led to a large increase in the amount of data collected from rivers, lakes, and other water systems. However, ensuring that these data are accurate and reliable remains a major challenge. Traditional data quality checks are done manually by a technician, which can be slow, inconsistent, and not practical for real-time monitoring. This research addresses these challenges by developing standardized datasets for testing computer-based methods that automatically detect and correct errors in water data. Using information from the Logan River Observatory in northern Utah, we created a step-by-step process to identify, categorize, and label …

Practical Effectiveness Of Large Language Models In Assisting Landscape Architects In Plant Selection, Paul Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is rapidly transforming many industries, but its role in landscape architecture remains relatively unexplored. This study examines how AI, specifically GPT-4, can assist landscape architects in selecting plants for projects. By comparing AI-generated plant lists to those that human experts created, the research evaluates Accuracy, Suitability, Availability, Aesthetics, and Professional Usability.

The results show that AI-generated plant lists were highly efficient, accurately matching site conditions and improving plant availability while significantly reducing selection time. However, human expertise was essential for ensuring aesthetic quality and design intent. While AI can serve as a powerful tool for streamlining plant …

A Learning‑Augmented Dynamic Programming Approach For Orienteering Problem With Time Windows, Guansheng Peng, Lining Xing, Fuyan Song Ma, Aldy Gunawan, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Recent years have witnessed a surge of interest in solving combinatorial optimization problems (COPs) using machine learning techniques. Motivated by this trend, we propose a learning-augmented exact approach for tackling an NP-hard COP, the Orienteering Problem with Time Windows, which aims to maximize the total score collected by visiting a subset of vertices in a graph within their time windows. Traditional exact algorithms rely heavily on domain expertise and meticulous design, making it hard to achieve further improvements. By leveraging deep learning models to learn effective relaxations of problem restrictions from data, our approach enables significant performance gains in an …

Agentguard: An Active Threat Discovery System For Package Confusion Using Multi-Agent Collaboration, Wei Ma, Yu Li, Zhi Chen, Ye Liu, Lingxiao Jiang, Qiang Hu, Junyi Tao

Research Collection School Of Computing and Information Systems

The proliferation of open-source software (OSS) has made software supply chains prime targets for attacks like Package Confusion, where adversaries publish malicious packages with names deceptively similar to legitimate ones. Existing detection methods often rely on simple lexical similarity or passive analysis of known package pairs, struggle with high false positive rates (FPR), fail to proactively identify emerging threats, and are vulnerable to adversarial evasion. To overcome these limitations, we introduce AgentGuard, a novel framework for proactive, single-input package confusion detection. AgentGuard employs a multi-agent architecture that autonomously discovers potential confusion targets using fine-tuned word embedding model to hybird semantic …