Digital Commons Network^™

The Role Of Language In Identity And Mediating Connection For Fijian College Students, Grace Taito Tora

Theses and Dissertations

This study explores the role of language in constructing identity and promoting belonging for seventeen Fijian college students at one U.S. based university in the Pacific Rim. Focus group interviews were analyzed for how students described the role that language played in constructing student identity and mediating connection. Analysis was grounded in post-structural perspectives of identity alongside vā – the Oceanic notion that encompasses identity and belonging. Students described themes of native language proficiency in reinforcing kinship relationships and in participating in cultural traditions and practices. They also expressed other ways of maintaining vā without proficiency in their native languages. …

Characterizing And Manipulating Intra-Die Performance Variation Of Fpgas And Its Application In Security, Hayden C. Cook

Theses and Dissertations

Field Programmable Gate Arrays (FPGAs) are reconfigurable, high-performing devices that are often used in critical applications. However, like all semiconductors, FPGAs experience transistor aging that can lower performance and lead to device failures. Additionally, device aging also has several security implications. Therefore, understanding the aging mechanisms behind transistor aging is necessary to ensure the reliability of FPGAs. However, current aging studies either rely on simulation alone or are unable to isolate aging effects on specific elements within the FPGA. This dissertation uses the reconfigurability of FPGAs to develop novel aging techniques that allow for the targeted aging of specific areas …

Facets Of Neuroticism As Predictors Of Heart Rate Variability And Psychological Distress, Mikel Cressman

Theses and Dissertations

Heart rate variability (HRV) and personality are related to both physical and mental health outcomes. Previous research has found a relationship between neuroticism and distress while the findings on the relationship between neuroticism and HRV are mixed. Studying the facets of neuroticism may provide a more nuanced view of the effects of personality on HRV and distress. Previous research has suggested that the vulnerability facet of neuroticism appears to be uniquely related to the cardiovascular response to stress. This study's first hypothesis is that individuals with higher scores on the vulnerability facet will have lower heart rate variability. The second …

Drop Dynamics And Heat Transfer During Dropwise Condensation On Superhydrophobic Surfaces, Shaur Humayun

Theses and Dissertations

As we seek to address the escalating demand for energy and water, superhydrophobic surfaces have gained the attention of researchers due to their potential to boost condensation heat transfer rates and improve efficiency across various applications. One way to significantly improve dropwise condensation heat transfer rate is to improve drop mobility. Water-repelling properties of superhydrophobic surfaces can help in reducing the size of condensed drops as they depart the surface, thus increasing drop refresh rates by increasing drop mobility. Accurate models of retention forces between drops and superhydrophobic surfaces are needed for predicting drop dynamics including drop mobility. Once drop …

Library Internal Reviews For Value Description And Strategic Planning, Holt Zaugg

Faculty Publications

In between university level assessments, the BYU Library conducts internal reviews of each library department, describing its value to the library and university, and providing recommendations for improvement. The process used a team of library employees in departments not under review and an external reviewer to conduct the internal review. Using a case-study approach, the development of an internal review system, its meta-evaluation at the end of its first cycle, and the on-going efforts to improve the internal review process are described. Using a graduate level evaluation class followed by a task force, changes were made to the internal review …

Unveiling Trends, Terminology, And Teaching Competencies Of Blended Courses In Higher Education, Jennifer Lynn Ramsey

Theses and Dissertations

This dissertation has been written in a three-article journal-ready format and centers on competencies for blended teaching in higher education. I use the PRISMA process and thematic coding to analyze 34 articles from 2002 to 2022, highlighting strategic combination, learner-centered approaches, and additional support. I also use the Google Search API and content analysis to suggest that blended, digital, and flexible may be post-secondary institutions' most frequently used terminology to describe contexts incorporating online and in-person components. I also gather qualitative data from interviews with faculty to highlight the context and nuances surrounding blended teaching competencies, including creative innovation, technology …

Rigorous Verification Of Stability Of Ideal Gas Layers, Damian Anderson

Theses and Dissertations

In this thesis we develop tools for carrying out computer assisted proof of the stability of traveling wave solutions of the spatially one-dimensional compressible Navier-Stokes equations with an ideal gas equation of state. In particular, we obtain rigorous, tight error bounds on a high-accuracy numerical approximation of the traveling wave profile for parameters corresponding to air, and we obtain rigorous representations in a neighborhood of positive and negative infinity of the solution to the first order ODE associated with linearizing the PDE equations about the traveling wave solution. We also develop supporting tools for rigorous verification of wave stability.

Barriers To Family Planning For Women In West Africa, Emma Gunn

Ballard Brief

In West Africa, access to family planning remains a pressing issue with far-reaching implications for women's health, education, and economic empowerment. Despite global efforts to promote reproductive rights and expand contraceptive access, significant barriers persist, hindering women's ability to make informed choices about their reproductive health. According to recent data, only 13% of married women aged 15-49 in West Africa use any form of family planning method, These low utilization rates are compounded by an unmet need for family planning among 26% of women in the region. Factors contributing to these barriers include limited access to accurate information, fear of …

The Aridification Of The Great Salt Lake, David Thompson

Ballard Brief

Throughout Nepal, brick kilns employ thousands of families annually for the seasonal work of crafting and shipping bricks. As families migrate between work in brick factories and agricultural work at home, more factors block their children from a complete and quality education. The open invitation to begin working with their parents and to help provide for the family becomes a strong temptation that causes many children to give up on school. In addition, Nepal's lack of law enforcement frequently allows children to drop out of school early without consequence. Their parents do not attempt to stop them either, making little …

The Role Of Nr4a Transcription Factors In The Body And Their Effects In The Pancreatic Beta Cell, Jacob A. Herring

Theses and Dissertations

A central aspect of type 1 and type 2 diabetes is decreased functional β-cell mass which leads to systemic glucose dysregulation. Functional β-cell mass takes into account β-cell insulin secretion, β-cell proliferation, and β-cell survival. Several treatments are currently used to help maintain glucose levels in individuals with diabetes. However, cures for these diseases are not available due to inability to expand functional β-cell mass. Transcription factors control expression of target genes critical for various functions, and transcription factors that control β-cell function, proliferation and survival play a significant role in β-cell development and function. A more thorough examination of …

Geometrically Exact Beam Theory For Gradient-Based Optimization, Taylor Mcdonnell, Andrew Ning

Faculty Publications

Decades of research have progressed geometrically exact beam theory to the point where it is now an invaluable resource for analyzing and modeling highly flexible slender structures. Large-scale optimization using geometrically exact beam theory remains nontrivial, however, due to the inability of gradient-free optimizers to handle large numbers of design variables in a computationally efficient manner and the difficulties associated with obtaining smooth, accurate, and efficiently calculated design sensitivities for gradient-based optimization. To overcome these challenges, this paper presents a finite-element implementation of geometrically exact beam theory which has been developed specifically for gradient-based optimization. A key feature of this …

Characteristics Of Pyrolysis Products Of California Chaparral And Their Potential Effect On Wildland Fires, Mahsa Alizadeh, David R. Weise, Thomas H. Fletcher

Faculty Publications

The aim of this study was to investigate the pyrolysis of selected California foliage and estimate the energy content of the released volatiles to show the significance of the pyrolysis of foliage and its role during wildland fires. While the majority of the volatiles released during the pyrolysis of foliage later combust and promote fire propagation, studies on the energy released from combustion of these compounds are scarce. Samples of chamise (Adenostoma fasciculatum), Eastwood’s manzanita (Arctostaphylos glandulosa), scrub oak (Quercus berberidifolia), hoaryleaf ceanothus (Ceanothus crassifolius), all native to southern California, and sparkleberry …

Derivative Propagation Through Vortex Particle Method Simulation, Eric Green, Andrew Ning

Faculty Publications

Automatic differentiation (AD) is a powerful tool for evaluating numerical derivatives. In particular, reverse-mode AD provides numerical gradients in a way that is insensitive to the number of input variables. This makes reverse-mode AD well-suited for solving large optimization problems. However, reverse-mode AD has a particularly large associated memory cost because most intermediate values in operations need to be cached. This is problematic for large problems such as aerodynamics simulations, though, since the memory requirements can quickly become impractical. The solution implemented in this work is to provide analytic pullback expressions for functions for which many of the intermediate values …

Solving Unsteady Potential Flow Problems In O(N) Time, Ryan Anderson, Andrew Ning

Faculty Publications

Design of vertical takeoff and landing aircraft is challenging in part due to significant aerodynamic interactions between rotors and wings. Computational models can aid in their design, but are computationally expensive. 3-D panel methods coupled with vortex particle wakes offer an attractive solution, but solving for the panel strengths scales poorly for large problems. Multigrid methods, such as Krylov subspace methods in conjunction with the fast multipole method (FMM), have been demonstrated to reduce the scaling to O(𝑁). We explore the performance and limitations of the Krylov-FMM method, traditional matrix-powered GMRES, LU decomposition, and a novel O(𝑁) multigrid approach to …

Trajectory Optimization Of Evtol And Conventional Aircraft: A Comparative Analysis Of Vortex Particle Method And Vortex Lattice + Blade Element Momentum Theory, Andrew Tagg, Ryan Anderson, Cibin Joseph, Andrew Ning

Faculty Publications

Trajectory optimization of aircraft transition maneuvers can significantly influence the design of these systems, particularly when making decisions about aircraft geometry, propulsion sizing, and control system design. This paper presents the trajectory optimization of air vehicles including electric vertical takeoff and landing (eVTOL) as well as conventional aircraft. The study evaluates the influence of fidelity in trajectory design by comparing the use of two aerodynamic methods in the context of trajectory optimization. The mid-fidelity method utilizes a vortex lattice method (VLM) to model lifting surfaces while employing blade element momentum theory (BEMT) to model rudimentary rotor-wing interactions. The high-fidelity approach …

Ductape: A Steady-State, Axisymmetric Ducted Fan Analysis Code Designed For Gradient-Based Optimization, Judd Mehr, Andrew Ning

Faculty Publications

Electric ducted fans have become an intriguing option for the propulsion systems of clean, quiet advanced air mobility technologies due to their potential benefits in both aerodynamic efficiency and reduced noise profiles compared to open rotor systems. Exploration of conceptual electric ducted fan design in the context of novel, and often complex, applications may be greatly aided by the use of optimization techniques. Specifically, gradient-based optimization lends itself to the exploration of large, complex, multi-disciplinary systems due to its inherent scalability. Despite ducted fans/propellers having been relatively well studied for the last century, modern, gradient-based, optimization-ready analysis tools for ducted …

Persevering Through Communication Challenges: A Qualitative Descriptive Exploration Of Communication Experiences In Aphasia, Tyson G. Harmon, Camille Williams, Garrett Cardon, William S. Evans

Faculty Publications

Background

People with aphasia often experience activity limitations and participation restrictions despite wanting to engage in communication activities that are satisfying and meaningful. Communication partner support, the complexity of the communication environment, and the thoughts and feelings of people with aphasia have important implications for both language processing and communicative participation. The perspectives of PWA about the role that environmental and personal factors (e.g. thoughts and feelings) play in their communication experiences could inform clinical practice.

Aims

To qualitatively explore the communication experiences of people with aphasia and how environmental demands and personal factors (especially emotional responses) affect these experiences. …

Noise In The Library: Using Wearable Biomarker Devices To Measure Student Stress While Studying In The Library, Megan Frost

Faculty Publications

Many patrons come to the library seeking a quite environment, but some library spaces are noisy. In our study, we attempted to identify if the level of noise in a typical busy university library setting impacted the physiological stress of its patrons, as measured by wearable devices. We assessed participants’ heart rate variability (HRV) and skin temperature while they studied in different areas in the library. We found that there was no significant difference in patron stress levels while studying in loud vs quiet areas. This was even true for those patrons who came into the library hoping to be …

Cultivating A Digital Environment To Support Primary Source Instruction, Lindsey Memory, Rebecca A. Wiederhold, Abby Beazer, Gregory K. Seppi

Faculty Publications

Primary source literacy continues to be a priority for academic institutions. A growing subtopic is digital primary sources and their unique role in pedagogy. Digital primary sources have the capacity to represent more diverse voices, and their digital nature provides greater accessibility to new and existing user populations who cannot always come to the reading room. Digital primary sources can better meet a variety of needs through ADA-compliant transcription, 24/7 access, portability, and extensibility. With that vision in mind, these projects and materials present their own challenges to archivists, librarians, and other instructors seeking to expand these items’ curricular use. …

Cameras For Girls: Nonprofit Spotlight, Angie Holzer

Journal of Nonprofit Innovation

No abstract provided.

Full Issue: Artificial Intelligence And Data For Nonprofit Organizations, Angie Holzer

Journal of Nonprofit Innovation

No abstract provided.

Machine Learning For Nonprofit Organizations, Justin Holzer

Journal of Nonprofit Innovation

Nonprofit organizations are often looking for ways to increase efficiency while operating with limited resources. With data more readily available than in the recent past, machine learning provides powerful tools for unlocking valuable insights and enabling nonprofits to do more with limited resources. This paper explores various machine learning techniques to enhance nonprofit operations with an overview of machine learning approaches, including supervised, unsupervised, semi-supervised, and reinforcement learning, and their potential benefits for nonprofit organizations. A practical use-case of donor prediction for fundraising is presented to demonstrate how supervised learning can be employed to identify potential repeat donors. The neural …

Enhancing Nonprofit Efficiency And Productivity Through Ai: Applications Of Chatgpt, Sam R. Calhoun, Angie Holzer

Journal of Nonprofit Innovation

This article explores how nonprofit organizations can leverage AI to enhance efficiency and productivity. Key areas of impact include automating routine inquiries, supporting fundraising efforts, streamlining administrative tasks, aiding in program delivery, facilitating research and analysis, improving internal communication, and providing professional development. By integrating AI, nonprofits can optimize operations and focus more on their core mission, leading to greater social impact.

At-A-Glance Chart: How Nonprofits Can Use Ai/Chatgpt, Sam Calhoun, Angie Holzer

Journal of Nonprofit Innovation

No abstract provided.

Authorship In The Age Of Algorithms: Adapting Copyright Law For Ai-Generated Content, Sydney Thomas

Journal of Nonprofit Innovation

In the age of Artificial Intelligence (AI), the relationship between technological advancement and legal protection for human creators has become increasingly critical. From Stephen Hawking's admonition of the potential risks of unregulated AI to Sam Altman's advocacy for proactive regulation, this paper navigates the evolving landscape of AI innovation and copyright law. By examining the challenges posed by AI-generated content, including issues of intellectual property infringement and privacy concerns, it highlights the need for adaptive legal frameworks. Strategic enhancements to copyright law must be developed, such as bolstering fair use doctrine and expanding creator rights, to ensure the protection of …

Addressing Social Inequalities Using Ai, Big Data, And Machine Learning, Erica L. Jensen, Lakell Archer, Sumaya Ali

Journal of Nonprofit Innovation

No abstract provided.

A Blueprint For Future Achievements For Nonprofits, William B. Calder

Journal of Nonprofit Innovation

Nonprofit organizations hire strong leaders to articulate a vivid and persuasive picture of how the organization will be better, in a significant way, than what currently exists. Leaders should not underestimate the use of a powerful vision, as it is needed to help define the issues and challenges for stakeholders (inside and outside the organization). Leaders need to describe what success looks like and continue to task all stakeholders to assist in building the “dream.”

Operational and staffing challenges are more difficult for NPOs without an articulated, compelling, and concise vision statement. The resultant costs of not having this statement …

Revolutionising Nonprofit Verification With Ai Powered Intelligence, J Unsdorfer

Journal of Nonprofit Innovation

In an era where stakeholders increasingly demand clarity and honesty, the importance of corporate transparency has reached unprecedented levels. Both businesses and nonprofits are now faced with the challenge of effectively demonstrating their integrity and trustworthiness. Artificial intelligence (AI) offers promising solutions to these challenges by enabling deeper insights into corporate relationships. Venturefy, an Israel-based company, is at the forefront of this movement, using AI to decode complex data sets and verify corporate connections. This article explores how AI works, Venturefy’s unique approach to transparency, and its significant partnership with WikiCharities to enhance transparency in the nonprofit sector.

Research Summaries: Artificial Intelligence And Data For Nonprofits, Erica Jensen

Journal of Nonprofit Innovation

No abstract provided.

Trust In Information, Preparation, And Resource Adequacy In Coastal Louisiana, Elizabeth Long-Meek, Michael R. Cope, Scott Sanders, Carol Ward

Undergraduate Honors Theses

Natural disasters pose significant challenges to communities, affecting lives, properties, and infrastructure unpredictably. Coastal regions, like those in southern Louisiana, are particularly vulnerable due to their exposure to hurricanes, coastal erosion, and other chronic environmental hazards exacerbated by climate change. This study investigates the relationship between trust in government and social entities and perceptions of disaster preparedness among residents of Plaquemines and Lafourche parishes, Louisiana. Drawing on data collected via a multi-mode survey, including measures of trust and perceived preparedness, logistic regression models reveal that trust in information from federal, state, and local governments, as well as from community networks …