Digital Commons Network^™

The Community Connections Of St. John's Episcopal Church, Connor Murphy

All Graduate Reports and Creative Projects, Fall 2023 to Present

St. John's has been an institution that stands for service and community in Logan, Utah for the past 150 years. During this time, many things have changed, but some have stayed the same. The goals of this exhibit are to show both the changes and consistent features of St. John's in its history and to share the story of a church that has done so much for the community. The attached paper is meant to engage with the academic community and the linked exhibit and digital archive collection is meant to provide a resource to the public where they can …

Desire As A Framework For Adaptation: Examining Aku No Hana As An Unconventional Adaptation Of Les Fleurs Du Mal, Zoe Dalley

All Graduate Reports and Creative Projects, Fall 2023 to Present

In this project, I began by arguing that the 2009 to 2014 manga series Aku No Hana by author and artist Shūzō Oshimi should be considered an unconventional adaptation of the 19th century collection of poems Les Fleurs Du Mal by French poet Charles Baudelaire. I then turned my analysis to the practice of adaptation more broadly, using desire, a central theme to both of my chosen primary texts, as my lens through which I examined some of the central complexities and paradoxes inherent to adaptation, such as the simultaneous expectation of textual faith and a new authorial vision. I …

Evaluating The Cost Of Gain And Financial Returns Of Cattle Fed Hydroponically Produced Barley Fodder, Lex Peterson

All Graduate Reports and Creative Projects, Fall 2023 to Present

Hydroponically produced fodder continues to garner attention as a feed source within livestock production. This attention in part is due to a belief that hydroponically produced fodder is more efficient in its use of inputs such as water when compared to conventional feeds. Water efficiency is especially appealing in areas like the Intermountain West region of the U.S where water availability is often constrained. This analysis looks to understand how using hydroponically produced barley fodder to finish steers compares economically to finishing steers on a nutritionally equivalent conventional finishing ration. To do so, a stochastic simulation model is constructed to …

Analyzing Market Dynamics: Effects On Quality Grade Premiums And Discounts For Alfalfa Hay, Colby Wilkins

All Graduate Reports and Creative Projects, Fall 2023 to Present

This paper looks at how market strength affects the price premiums and discounts associated with alfalfa hay quality grades. Previous research has mainly focused on how attributes of alfalfa hay influence the price received. In this study, we use ordinary least squares linear regression and visual data representations to examine the effects of market strength on price received in conjunction with hay quality. The results demonstrate that during periods of relatively high average prices of alfalfa hay there is no significant impact on the average premiums and discounts associated with hay quality. However, during periods of relatively low average prices, …

Advertising The West: The History Of La Fiesta De Los Vaqueros, Monique Davila

All Graduate Reports and Creative Projects, Fall 2023 to Present

In February 1925, Tucson celebrated the first La Fiesta de Los Vaqueros with a three-day rodeo that ended with a huge parade through the city center. Created by Philadelphia-born and new resident of Tucson Frederick Leighton Kramer and other Tucson city boosters, the event became an annual fiesta with the hopes of not only promoting Tucson and a fundraiser for the University of Arizona’s newly established polo team, but also a way to share Kramer’s newfound enthusiasm for Tucson’s beauty and history. However, the history the fiesta presented centered around the Anglo-American pioneers of southern Arizona. This approach ignored the …

Age, Sex, And Apoe Gene-Specific Associations Between Dynapenic Obesity And Dementia In A Large Cohort, Zhao Yao, Jie Wang, Tianfang Zhang, Hongjing Ai, Zeinab Abdelrahman, Xiaohong Wu, Daming Wang, Fenfen Chen, Ziwei Zhang, Xiaosheng Wang, Zuyun Liu, Zuobing Chen

Faculty, Staff and Student Publications

Objective: To investigate the associations between dynapenic obesity and the risk of dementia, and the modifying effects of age, sex, and the APOE gene, using a large population-based cohort.

Methods: 279,884 participants aged 55 and above from the UK Biobank were included. The participants were classified into four categories based on body mass index and hand grip strength: healthy, obesity, dynapenia, and dynapenic obesity. The incident dementia was identified based on linked hospital records and death register data. Cox proportional hazards regression models were used to estimate the associations, followed by age-, sex-, and apolipoprotein E (APOE) gene-stratified analyses.

Results: …

Privacy-Preserving Model Evaluation For Logistic And Linear Regression Using Homomorphically Encrypted Genotype Data, Seungwan Hong, Yoolim A Choi, Daniel S Joo, Gamze Gürsoy

Faculty, Staff and Student Publications

Objective: Linear and logistic regression are widely used statistical techniques in population genetics for analyzing genetic data and uncovering patterns and associations in large genetic datasets, such as identifying genetic variations linked to specific diseases or traits. However, obtaining statistically significant results from these studies requires large amounts of sensitive genotype and phenotype information from thousands of patients, which raises privacy concerns. Although cryptographic techniques such as homomorphic encryption offers a potential solution to the privacy concerns as it allows computations on encrypted data, previous methods leveraging homomorphic encryption have not addressed the confidentiality of shared models, which can leak …

Contrastive General Graph Matching With Adaptive Augmentation Sampling, Jianyuan Bo, Yuan Fang

Research Collection School Of Computing and Information Systems

Graph matching has important applications in pattern recognition and beyond. Current approaches predominantly adopt supervised learning, demanding extensive labeled data which can be limited or costly. Meanwhile, self-supervised learning methods for graph matching often require additional side information such as extra categorical information and input features, limiting their application to the general case. Moreover, designing the optimal graph augmentations for self-supervised graph matching presents another challenge to ensure robustness and effcacy. To address these issues, we introduce a novel Graph-centric Contrastive framework for Graph Matching (GCGM), capitalizing on a vast pool of graph augmentations for contrastive learning, yet without needing …

A Learned Generalized Geodesic Distance Function-Based Approach For Node Feature Augmentation On Graphs, Amitoz Azad, Yuan Fang

Research Collection School Of Computing and Information Systems

Geodesic distances on manifolds have numerous applications in image processing, computer graphics and computer vision. In this work, we introduce an approach called 'LGGD' (Learned Generalized Geodesic Distances). This method involves generating node features by learning a generalized geodesic distance function through a training pipeline that incorporates training data, graph topology and the node content features. The strength of this method lies in the proven robustness of the generalized geodesic distances to noise and outliers. Our contributions encompass improved performance in node classification tasks, competitive results with state-of-the-art methods on real-world graph datasets, the demonstration of the learnability of parameters …

Maximizing Supply Chain Performance Leveraging Machine Learning To Anticipate Customer Backorders, Abdulrahim Ali, Raja Jayaraman, Elie Azar, Maher Maalouf

Industrial Engineering: Faculty & Staff Publications

No abstract provided.

Limits To Asset Manager Adaptation, Madison Condon

Faculty Scholarship

In Our Lives in Their Portfolios, Brett Christophers provides an account of the rise of ‘asset manager society’ – a world in which the infrastructures of public life are converted from public to private ownership. Here I use Christophers’ analysis to comment on growing calls for asset manager investment in climate adaptation. The asset manager business model requires ever-escalating returns, a poor fit with the now unavoidable losses that climate change promises to bring.

Decision-Making Under Risk: When Is Utility-Maximization Equivalent To Risk-Minimization?, Francesco Ruscitti, Ram Sewak Dubey, Giorgio Laguzzi

Department of Economics Faculty Scholarship and Creative Works

Motivated by the analysis of a general optimal portfolio selection problem, which encompasses as special cases an optimal consumption and an optimal debt-arrangement problem, we are concerned with the questions of how a personality trait like risk-perception can be formalized and whether the two objectives of utility-maximization and risk-minimization can be both achieved simultaneously. We address these questions by developing an axiomatic foundation of preferences for which utility-maximization is equivalent to minimizing a utility-based shortfall risk measure. Our axiomatization hinges on a novel axiom in decision theory, namely the risk-perception axiom.

An Examination Of The Effects Of Prey Density, Mortality, Nutrients, And Foraging Tradeoffs On A System With Inducible Defenses: An Empirical And Theoretical Approach, Benjamin C. Ralston Daniel

All Graduate Theses and Dissertations, Fall 2023 to Present

To grasp the functioning and stability of ecosystems, it is important to understand species interactions. With many ecosystems becoming more imperiled from urbanization and anthropogenic influences it is important to understand ways in which species can adapt to rapid changes in their environment. Phenotypic plasticity is one such tool at nature’s disposal to initiate rapid change, where species with the same genetic makeup can have different expressed traits depending on their environment. Inducible defenses are one such form of phenotypic plasticity in which prey can express different levels and forms of defense depending on the threat of predation present in …

Project-Based Learning And Its Impact On Student Engagement, Well-Being, And Learning Outcomes: A Study Of Teachers’ Perspectives., Stefania Rubino

Student Theses and Dissertations

In recent years, the field of education has experienced major shifts characterized by a significant increase in the research of innovative instructional approaches. Project-based learning (PBL) is an educational approach that prioritizes collaborative projects and experiential learning activities, offering a unique framework for exploring the factors that influence student engagement, academic achievement, and overall well-being. Project-based learning (PBL) places emphasis on inquiry-based and student-centered learning through the successful completion of meaningful projects. The present study explored the impact of project-based learning (PBL) on student engagement, well-being, and learning outcomes as perceived by educators. This qualitative research was conducted, featuring interviews …

An Online Scientific Twitter World: Social Network Analysis Of #Sciencetwitter, #Scicomm, And #Academictwitter, Man Zhang

All Graduate Theses and Dissertations, Fall 2023 to Present

Understanding who makes up online social worlds as well as how information flows within those communities is important as more people access news, research topics, collaborate with others, and entertain themselves. This study identified and classified the people discussing scientific topics on Twitter, determined the type of social network, and described the member composition of this online world. Scientists, the public, and educators formed this online world. They built connections by initiating activities and interacting with others, which created the Community Clusters social network structure. All three categories of people are in positions of influence in this network leading and …

Development Of A High-Throughput Methodology For Vibration-Based Fatigue Tests, Brandon Alexander Furman

All Graduate Theses and Dissertations, Fall 2023 to Present

Global efforts towards the development of additively manufactured materials, biomaterials, metamaterials, self-healing materials, and composites have reached a staggering pace. With new materials being developed on a near-daily basis, it is more important than ever to be able to quickly and precisely quantify their mechanical performance. However, one of the most important mechanical properties, fatigue life, is notoriously time consuming to measure. Consequently, fatigue parameters are often calculated based on small sample sizes, resulting in high uncertainty of the measured parameters. In this dissertation a high-throughput approach to fatigue measurements is developed. This technique allows for multiple samples to accumulate …

Shifting Paradigms In Recreation Management: Applying Social-Ecological System Frameworks To Parks And Protected Areas, Noah Creany

All Graduate Theses and Dissertations, Fall 2023 to Present

Park and protected area (PPA) recreation management is often characterized by social, ecological, and managerial dimensions. These dimensions have increasingly been conceptualized as social-ecological systems (SESs) to understand the complex interrelationships between them. Contemporary trends of increased visitation on public lands in the United States, including US National Parks, have accentuated the complex interactions between the amount of recreation use, the capacity of the setting, the quality of the visitor experience, and ecological resource conditions. These challenges of managing recreation use and understanding these interactions will be further compounded by climate change and its effects on ecosystem composition and dynamics. …

Applying Implementation Supports To Professional Development To Improve Implementation Of The Caught Being Good Game, Dylan Zimmerman

All Graduate Theses and Dissertations, Fall 2023 to Present

Disruptive behavior in the classroom can cause challenges for both teachers and students, creating high levels of teacher stress and preventing students from accessing academic instruction. Training on evidence-based classroom management is often resource-intensive and has inconsistent impact on teacher behavior in the classroom. The purpose of this study was to investigate the impact of professional development on paraprofessionals' treatment fidelity of the Caught Being Good Game. We used a multiple baseline design to provide a tiered model of professional development to provide the least intensive level necessary to support implementation. Results indicate that all four teachers successfully implemented most …

Advancing Quantitative Approaches For Estimating Avian Population Responses To Environmental Change Using A Data-Rich Species: The American White Pelican, Aimee Michele Van Tatenhove

All Graduate Theses and Dissertations, Fall 2023 to Present

Advancements in wildlife data collection technology and analysis are helping us understand how human-caused environmental change is impacting bird species. Yet data collection for many species remains challenging, and often the data are difficult to analyze. Improved methods for collecting and analyzing avian data are needed to understand how species respond to environmental change. However, before applying new methods to poorly understood species, it is crucial to test methods on well-studied species to ensure their effectiveness. The American White Pelican is a well-studied species that is ideal for testing new analysis methods. Pelicans have been studied extensively due to conservation …

Criminalizing Ecocide, Rebecca Hamilton

Scholarly Articles in Law Reviews & Journals

Amid widespread acknowledgment that we live on a planet in peril, the term “ecocide” packs a powerful rhetorical punch. Extant regulatory approaches to environmental protection feel insufficient in the face of the triple threat of climate change, pollution, and biodiversity loss. International criminal prosecution for ecocide, by contrast, promises to meet the moment, and a recent proposal to introduce ecocide into the canon of core international crimes is gaining traction. Assuming the push to criminalize ecocide continues to gain momentum, this Article argues that the primary (and perhaps, sole) benefit that international criminal law can offer in this context is …

Lost In The (Re)Process: Challenging Constructions Of Downtown Louisville Through The Urban Renewal Commission Photograph Collection., Cassidy Meurer

Electronic Theses and Dissertations

This thesis chronicles the historical significance of the Urban Renewal Commission photograph collection, traces the history of racial capitalism in Louisville through research at Metro Louisville Archives & Records Center, and argues for alternative ways of organizing, digitizing, and presenting these archival materials in the University of Louisville’s Archives & Special Collections. I describe my methodology for breaking the photographic materials from their original order, going against typical archival processing methodologies, with the aim that the collection will more accurately represent the city’s strategic displacement of Black Louisvillians and civic prioritization of capital efficiency over community. This work emphasizes the …

Director's Intro & News - 51:2, Brad Sietz

LOEX Quarterly

No abstract provided.

Fine-Scale Mangrove Species Classification Based On Uav Multispectral And Hyperspectral Remote Sensing Using Machine Learning, Yuanzheng Yang, Zhouju Meng, Jiaxing Zu, Wenhua Cai, Jiali Wang, Hongxin Su, Jian Yang

Earth and Environmental Sciences Faculty Publications

Mangrove ecosystems play an irreplaceable role in coastal environments by providing essential ecosystem services. Diverse mangrove species have different functions due to their morpho- logical and physiological characteristics. A precise spatial distribution map of mangrove species is therefore crucial for biodiversity maintenance and environmental conservation of coastal ecosystems. Traditional satellite data are limited in fine-scale mangrove species classification due to low spatial resolution and less spectral information. This study employed unmanned aerial vehicle (UAV) technology to acquire high-resolution multispectral and hyperspectral mangrove forest imagery in Guangxi, China. We leveraged advanced algorithms, including RFE-RF for feature selection and machine learning models …

Land-Use Change As A Major Driver For Mid-20th-Century Flood Intensity Reduction In The Southeastern Us, Zhixiong Shen, Nicholas Conway, Shaowu Bao, Samuel Muñoz, Andreas Lang

Marine Science

Land-use changes affect hydrologic processes, but their impact on flooding remains obscure amid increasingly heavy precipitation. Instrumental records are short relative to land-use change history and inadequate for flood attribution studies. Here we integrate a high-resolution paleodischarge record spanning the past ∼200 years from the largest basin in the Southeastern United States with instrumental data and hydrological modeling. We find that the 100 yr flood magnitude for large regional rivers exhibits 50%–75% reductions in the mid-20th century. We attribute at least 50% of the reductions to a regional shift from widespread agricultural land to conservation and reforestation and the rest …

Speech-Language Pathologists’ Perceptions When Supporting Students With Dyslexia, Heather Campbell-Meyer Tellier

Dissertations

This study explored the rationale and significance of integrating speech-language pathologists (SLPs) into the assessment and remediation of dyslexia, traditionally the domain of general and special education teachers. Drawing on their unique qualifications in languagerelated areas, such as phonology, syntax, and semantics, SLPs have emerged as valuable assets in supporting students with dyslexia. American Speech-Language and Hearing Association (ASHA) has recognized the value of SLPs working with students with dyslexia and has set specific guidelines for working with them. Despite these guidelines, recent data have indicated a gap between policy and practice, with only a fraction of SLPs (36%) actively …

Transglutaminase Crosslinked Milk Protein Concentrate And Micellar Casein Concentrate: Impact On The Functionality Of Imitation Mozzarella Cheese Manufactured On A Small Scale Using A Rapid Visco Analyzer, Prafulla Salunke, Lloyd Metzger

Dairy Science and Food Science Faculty Publications: 2022 to Present

In dairy-based imitation mozzarella cheese (IMC) formulations, intact casein is critical and imparts IMC with a firm and elastic, stringy, melted texture. Rennet casein (RCN) is the desired ingredient to provide intact casein in IMC and is preferred over milk protein concentrate (MPC) and micellar casein concentrate (MCC). Transglutaminase (TGase), a crosslinking enzyme, alters the physical properties of MPC or MCC and may change IMC functionality. The objective of this study was to determine the effect of TGase-crosslinked MPC and MCC powders on the functionality of IMCs. The TGase treatment included TGase at 0.3 (L) and 3.0 (H) units/g of …

Teaching To The Heart: A Grounded Theory Exploration Of Elementary Educators’ Journey Toward Teaching Mathematics For Social Justice, Breána Victoria-Delgado

Education (PhD) Dissertations

The current sociopolitical context of the United States has created a divide among the nation which has transpired into Kindergarten-12th grade public school settings. Throughout the United States school boards of education have banned books and Critical Race Theory while attacking social justice teaching pedagogies. Presently, there is growing empirical research on teaching mathematics for social justice in public elementary schools. This study explored the ways in which public elementary educators experience teaching mathematics for social justice in their classrooms across Southern California. Through qualitative research, this study utilized constructivist grounded theory methodology and methods to gain insight of the …

Theoretical Justifications For Trade Secrets Protection Of Routine Business Information, Timothy Murphy

Articles

For over a century trade secret law has protected internal business information from misappropriation by departing employees. Over this time, courts developed various limiting doctrines to minimize the impact of this broad protection on employee mobility in particular cases. However, the workplace has changed significantly over this time and these changes raise substantial questions as to whether there is any valid theoretical justification for continuing to protect routine business information under trade secret law. In an environment where the vast majority of trade secrets claims are against former employees, the lack of sound justification for protecting routine business information, the …

Characterizing Oxylipins In Human Milk Extracellular Vesicles, Priscila Herrera

Food Science (MS) Theses

Extracellular vesicles (EVs) are non-replicating lipid bilayer membrane-bound particle formed by a parent cell and secreted into the extracellular environment. EVs in human milk are bioavailable and influence physiologic pathways that may contribute to newborn growth and development. There is interest in the oxylipin content of EVs that may contribute to the bioavailability of EVs. This research aims to characterize the oxylipin content of human milk EVs. Centrifugation and precipitation were used to isolate EVs from human milk (n = 20). The Folch method was used to extract lipids, and liquid chromatography-mass spectrometry (LC– MS) was used to qualify and …

Building Futures: How The Built Environment, Out-Of-School Time Programs, And Community Service Participation Relate To Social-Emotional Development Of U.S. Youth, Bailey A. Perez

Dissertations and Theses (Open Access)

Background: This dissertation aimed to explore the relationship between built environment features, participation in out-of-school time (OST) programs, participation in community service activities, and the social-emotional development of youth aged 6 to 17 years residing within the United States (US). Previous research indicates that built environment features, as well as participation in OST programs and community service activities, could impact youth’s social-emotional development. However, few studies have explored these effects on individual social-emotional development measures in this specific age group. In addition, little is known regarding whether built environment features and youth’s sex moderates the relationship between youth participation in …