Digital Commons Network^™

Acceptance Finds A Way: How To Teach And Use Evolution's Explanatory Power, Daniel George Ferguson

Theses and Dissertations

The theory of evolution is the central combing theory that brings together all the tenets of biology that bring about a solid understanding of life. It is also one of the most controversial scientific theories of all time and is widely rejected by about 40% of the general public in the United States. One of the biggest reasons for low evolution acceptance is the perceived conflict between evolution and religious beliefs. Educators and researchers have been working hard to improve how we teach evolution in the classroom; some methods, such as focusing on evolution knowledge, have shown to be mixed. …

Getting Back On Track After Challenges: A Qualitative Analysis Of Repair Efforts In Intimate Relationships, Tiffany Reid Lotulelei

Theses and Dissertations

All couples confront conflict in their marriage. Finding ways to navigate couple conflict is a topic that has been explored for several decades among marriage researchers (Rollin & Dowd, 1979). Repair, a strategy to help reconcile a situation or conversation that has gone awry, is important in helping couples overcome conflict. When couples are not able to repair and move forward, resentment arises. Unfortunately, the research on repair and resentment is limited, and the complexity of these variables can make it difficult to conceptualize. The present study utilized a qualitative lens (grounded constructivist theory) to explore relational repair and resentment …

Systematic Reviews & Meta-Analyses, Brinley Zabriskie

BYU Research Development Office Research Networking Conference

Meta-analysis, Binary data, Public health & medicine

Variational And Covariational Reasoning Of Students With Disabilities, Lauren Rigby

Theses and Dissertations

Mathematics education reform has led to more conceptually focused instruction in the classroom. Yet, students with disabilities are receiving fewer chances than other students to engage in meaningful mathematics. Furthermore, a research divide between mathematics education and special education in mathematics has led to significant gaps in research on the individual and conceptual understanding of students with disabilities. Through task-based interviews and classroom observations, this study begins the process of closing this research gap through an examination of students' understanding of variational and covariational reasoning. Data suggest that the participants, two students with disabilities, increased their conceptual understanding in a …

Using Machine Learning To Classify Volleyball Jumps, Miki Jauhiainen

Theses and Dissertations

In this study, inertial measurement units (IMUs) were used to train a random forest classifier to correctly classify different jump types in volleyball. Athlete motion data were collected in a controlled setting using three IMUs, one on the waist and one on each ankle. There were 11 participants who at the time played volleyball at the collegiate level in the United States, seven male and four female. Each performed the same number of jumps across the eight jump types--five BASIC jumps and three each of the other seven--resulting in 26 jumps per subject for a total of 286. The data …

Using Narrative Cycles To Advance Teacher Educators’ Emotional Work And Practice In An Era Of Affective Polarization, Ramona Maile Cutri, Eric Ruiz Bybee, Erin Feinauer Whiting

Faculty Publications

‘Affective polarization’ refers to the amount of negativity that people feel for those who belong to a political party other than their own. This self-study reports on our particular use of a narrative cycle model and documents its validity as a tool for doing the emotional work of exploring contradictions in one’s practice without the pressure of engaging in public emotional discourses. We focused on the contra- diction between our intention to teach anti-oppressive teacher edu- cation and inadvertently silencing students who exhibited affective polarization. Our narrative inquiry analysis documented patterns of our thoughts, feelings, and behaviors that we assert …

Dónde Están Les Latinxs? A Content Analysis Of Latinx Representation Across Three Clinical Disciplines, Haley M. Hinkle

Theses and Dissertations

Latinx, or Hispanic/Latino, minoritized groups experience a broad spectrum of mental health challenges, disparities, and risks at a disproportionate rate compared to both their non-White counterparts and compared to other minorized groups in the U.S. (SAMHSA, 2015). They also experience a number of cultural and individual strengths associated with their values, practices, and resiliencies (Leyva et al, 2022; Gennetian et al, 2021; Calzada et al, 2020). However, given the substantial percentage of Latinxs who live in the United States (18.7%), the mental health needs of this minoritized group are not sufficiently addressed in social science literature, as a number of …

Adolescent Religious Identity And Body Esteem, Megan Gale

Theses and Dissertations

Adolescents experience a key developmental process of identity formation and try to understand who they are and how they feel about themselves. While research has found religiosity to often predict increased body esteem for religious adults, little is known about the association between religiosity and body esteem for adolescents. Using an Identity Theory lens, the current cross-sectional study (n=1,693) examined the relationship between adolescent religious identity (religious salience and belief being a child of God) and body esteem, mediated by one's attachment to God. Three structural equation mediation models examined 1) overall relationships; 2) relationships by gender; and 3) relationships …

Behavioral Indicators Of The Therapeutic Alliance In Relation To Dropout In Couple Therapy, S. Celeste Esplin

Theses and Dissertations

Almost half of those who start therapy drop out early (Thalmayer, 2018). When therapists work to improve the therapeutic alliance, clients are more likely to stay in treatment and chances of recovery improve (D'Aniello et al., 2018; Escudero & Friedlander, 2017). However, the existing research comes almost entirely from client self-reports of the alliance. Little research has examined what occurs during the session. There has been no research to determine what specific therapeutic alliance behaviors are related to early termination. The current naturalistic study sought to discover if behaviors that strengthen or diminish the therapeutic alliance are related to early …

Method And Interpretation: Gadamer And The Limits Of Methods In Qualitative Research, Jared C. Parker

Theses and Dissertations

Qualitative modes of research have been working their way into the mainstream of psychological research. Unfortunately, social psychology has largely resisted this trend, despite the particular utility of qualitative research for investigating social phenomena. Curiously, as qualitative research becomes more widely accepted in psychology, much of the discourse surrounding these approaches has revolved around the procedural dimensions of qualitative inquiry. Specifically, it has focused on developing, describing, and defending various codified approaches to qualitative data analysis. Recently, this methodological paradigm has come under some criticism, with scholars critiquing codified methods as leading to shallow, superficial, and formulaic research. Others have …

Selecting And Optimizing Origami-Based Patterns For Deployable Space Systems, Diana Stefania Bolanos

Theses and Dissertations

This thesis addresses the design difficulties encountered when designing deployable origami-based arrays. Specific considerations regarding thickness accommodation, deployment, and parameter modifications are discussed. Patterns such as the Miura-ori, flasher, and hexagon are investigated, with emphasis placed on pattern modification from zero-thickness to finite-thickness. Applying origami principles to form engineering solutions is a complicated task. Competing requirements may create confusion around which pattern is most favorable for the space array application. Implementing origami into a finite-thickness, engineered system poses challenges that are not manifest in a zero-thickness model. As such, it is important to understand and address the limitations of the …

Quantifying Protein Quality To Understand Protein Homeostasis, Hsien-Jung Lavender Lin

Theses and Dissertations

Proteins are the center of all biochemical reactions in living organisms. Proteins need to be present at the right time, in the right place, with the correct concentration and have the right shape to carry their designated function. Protein homeostasis is when all proteins in the proteome are in functional balance, and such balance is maintained by synthesis, folding, and degradation machinery. When protein homeostasis is lost, organisms start to age and develop diseases. To truly unveil disease mechanisms and provide more efficient means for treatment and prevention, we need a holistic understanding of the mechanism of protein homeostasis. Currently, …

Reconstructing Historical Earthquake-Induced Tsunamis: Case Study Of 1820 Event Near South Sulawesi, Indonesia, Taylor Jole Paskett

Theses and Dissertations

We build on the method introduced by Ringer, et al., applying it to an 1820 event that happened near South Sulawesi, Indonesia. We utilize other statistical models to aid our Metropolis-Hastings sampler, including a Gaussian process which informs the prior. We apply the method to multiple possible fault zones to determine which fault is the most likely source of the earthquake and tsunami. After collecting nearly 80,000 samples, we find that between the two most likely fault zones, the Walanae fault zone matches the anecdotal accounts much better than Flores. However, to support the anecdotal data, both samplers tend toward …

Enabling Successful Human-Robot Interaction Through Human-Human Co-Manipulation Analysis, Soft Robot Modeling, And Reliable Model Evolutionary Gain-Based Predictive Control (Mega-Pc), Spencer W. Jensen

Theses and Dissertations

Soft robots are inherently safer than traditional robots due to their compliance and high power density ratio resulting in lower accidental impact forces. Thus they are a natural option for human-robot interaction. This thesis specifically looked at human-robot co-manipulation which is defined as a human and a robot working together to move an object too large or awkward to be safely maneuvered by a single agent. To better understand how humans communicate while co-manipulating an object, this work looked at haptic interaction of human-human dyadic co-manipulation trials and studied some of the trends found in that interaction. These trends point …

Simulation And Localization Of Autonomous Underwater Vehicles Leveraging Lie Group Structure, Easton Robert Potokar

Theses and Dissertations

Autonomous underwater vehicles (AUVs) have the potential to dramatically improve safety, quality of life and general scientific knowledge. Our coasts, lakes and rivers are filled with various forms of marine infrastructure including dams, bridges, ship hulls, communication lines, and oil rigs. Each of these structures requires regular inspection, and current methods utilize divers, which is dangerous, expensive, and time consuming. AUVs have the potential to alleviate these difficulties and enable more regular inspection of these structures. Furthermore, there are significant scientific discoveries in the fields of geology, marine biology and medicine that AUV exploration of our oceans will enable. Since …

Trace Elements In Walleye Tissues And Dietary Components From An Impoundment Located Downstream Of The Leadville Mining District, Colorado, I: Hg And Se, Scott J. Herrmann, Del Wayne R. Nimmo, Igor V. Melnykov

Western North American Naturalist

There is a paucity of studies focusing on how total mercury (THg) and total selenium (TSe) concentrations vary in walleye tissues and prey organisms from a reservoir that is downstream from a major mining district and whose basin consists of Cretaceous sedimentary Se-bearing outcroppings. Pueblo Reservoir in Colorado is fed by water from the upper Arkansas River, which has been polluted by trace metals and metalloids since mining began in 1859. Pueblo Reservoir is the only mainstem impoundment on the Upper Arkansas River and is located about 251 km downstream from the historic Leadville Mining District. Nearly all the contaminated …

Ensemble Model-Based Method For Time Series Sensors’ Datavalidation And Imputation Applied To A Real Waste Water Treatmentplant, Josep Pascual-Pañach, Miquel Sànchez-Marrè, Miquel Àngel Cugueró-Escofet

International Congress on Environmental Modelling and Software

Intelligent Decision Support Systems (IDSS) integrate different Artificial Intelligence (AI) techniques with the aim of taking or supporting human-like decisions. To this end, these techniques are based on the available data from the target process. This implies that invalid or missing data could trigger incorrect decisions and therefore, undesirable situations in the supervised process. This is even more important in environmental systems. In data-driven applications such as IDSS, data quality is a basal problem that should be addressed for the sake of the overall systems’ performance. In this paper, a data validation and imputation methodology for time-series is presented. This …

A Framework To Ensure Scenario-Neutral Climate Impact Assessments Better Align With Scenario-Led Projections, Sam Culley, Holger R. Maier, Seth Westra, Bree Bennett

International Congress on Environmental Modelling and Software

The uncertainty surrounding climate change presents a major challenge for the management of water resource systems, which are facing stresses to both supply and demand. To provide insight into how a system might perform under change, scenario-neutral climate impact assessments are being used increasingly to supplement ‘scenario-led’ climate projections. Scenario-neutral assessments stress-test a system against a range of potential climate changes, regardless of their plausibility, so that all major modes of system failure can be identified and characterised. However, when comparing the two approaches, results from scenario-neutral climate impact assessments often do not align with those from a scenario-led analysis. …

A Valley Lost To Time, Washington C. Pearce

Undergraduate Honors Theses

This thesis delivers a playable and functional module for the 5 th Edition of the World’s Greatest Role-Playing Game. The Critical Introduction uses reader response and performance theory to create a framework for reading role-playing games as literature, explains some of the recent scholarship surrounding role-playing games, and details the creative process and work of the creative thesis.

In A Valley Lost to Time, Adventurers recruited by the Trellin Prime Minister are sent westward, over the Drazlin mountain range, with a mission to discover the fate of a decades-lost failed colony. The route is long and treacherous, passing through a …

Quantifying Protein Quality To Understand Protein Homeostasis (Supplemental Data), Hsien-Jung Lavender Lin

ScholarsArchive Data

This data set includes the supplementary data for chpaters 3 and 4 in the dissertation Quantifying Protein Quality to Understand Protein Homeostasis. It includes various excel worksheets that were used to generate the data reported in the dissertation. We make this data available to the public so anyone who wants to reproduce the results has the resources and access to other perspectives that weren't discussed in depth in the dissertation. Chapter 3 used mass-spectrometry to quantify the surface accessibility differences in human serum albumin (HSA)between patients with and without rheumatoid arthritis (RA). We found certain residues are less reactive …

Multi-Criteria Decision Analysis Under Uncertainty: A Geometrically Inspired Approach, Matthias Grajewski, Imke Rhoden, Stefan Vögele

International Congress on Environmental Modelling and Software

ti-Criteria Decision Analysis (MCDA), originally a tool for decision making, is nowadays employed as a common tool for analyzing preferences and likely actions of stakeholders in many different contexts (e.g., attitudes of people towards changes in the transport sector or energy transformation scenarios). However, MCDA models rely on numerous parameters which are often hard to determine, subject to uncertainty, or are even unknown. In some cases, the actions or (partial) preferences of stakeholders under certain circumstances are known. We present a novel method for a class of popular MCDA approaches to obtain quantitative information on parameters of MCDA models, in …

Real-Time Monitoring Data Quality Assurance For Participatory Realtime Salinity Management, Nigel W.T. Quinn

International Congress on Environmental Modelling and Software

Real-time monitoring data quality assurance for participatory real-time salinity management Nigel W.T. Quinn Berkeley National Laboratory Climate and Ecosystem Sciences, Bld 64-209 Berkeley, CA 94720 Improvements in the accuracy and reliability of environmental sensors and cellular telemetry and falling costs have increased their deployment for hydrologic and water quality monitoring. These deployments support the continuous operation of water quality simulation and forecasting models that provide decision support to stakeholders engaged in a program to manage salinity in real-time a major river basin in California. Real-time quality assurance of data assimilated from monitoring stations in the river basin is key for …

Leveraging Modern Programming Languages To Streamline Coastal Engineering Decisions: The Development Of The Usace Coastal Engineering Toolkit (Ucet), Theresa R. Coumbe, Amanda R. Catlett, Scott D. Christensen, Mary A. Bryant

International Congress on Environmental Modelling and Software

The Automated Coastal Engineering System (ACES) is an interactive, computer-based design and analysis system for coastal engineering applications. Even though it was designed in the 1990s and is built on legacy software, making it cumbersome to use by today’s standards (e.g, DOS-based with keystroke inputs), ACES continues to be actively applied in the coastal engineering community for planning and finding simple estimates. Using Python, and modern open-source libraries like Param and Panel, we developed the USACE Coastal Engineering Toolkit (UCET), an intuitive, web-based interface that will enable the broader coastal engineering community, academia, non-governmental organizations, and the general public access …

Predicting The Topographic Zonation Of Vegetation In A Salt Playa In Utah, Usa, Roger T. Koide, Jakob Garlick, Spencer Klatt, Noah Boekweg, Augustine Tambe, Katherine Jensen, Emily Weatherhead

Western North American Naturalist

Vegetation in salt playas—iconic landforms in the Great Basin of the western United States—exhibits a striking topographical zonation that has remained unexplained. In particular, a distinctive pattern is exhibited by salt-succulent species in the Amaranthaceae wherein Allenrolfea occidentalis occurs in monospecific stands at the highest topographic position in the playa, Sarcocornia utahensis occurs in monospecific stands in the middle position, and Salicornia rubra occurs in monospecific stands at the lowest topographic position. Because salt playas feature a shallow, temporary winter lake that recedes as it evaporates throughout the summer and because vegetation zones closely follow the contours of the temporary …

Nonprofit Megaphone – Helping Nonprofits With Google Ads, Jenna Ross Director

Journal of Nonprofit Innovation

The Google Ad Grant is one of the most powerful, yet under-appreciated tools in nearly every nonprofit’s marketing toolbox. Although the program has been available for over a decade, research shows that more than half of all nonprofit professionals are not aware of the Google Grant and how it can help nonprofits of all sizes.

Thrive Online: Supporting Students In Learning To Learn Online, Layne Nyman West

Instructional Psychology and Technology Graduate Student Projects

The purpose of this project was to design and develop a 2 to 4 week online course intended to improve the knowledge, attitudes, skills, and self-efficacy of all students (with special emphasis on first-year, first-generation, multicultural, and non-traditional students) to effectively learn online.

Automated Pre-Play Analysis Of American Football Formations Using Deep Learning, Jacob Deloy Newman

Theses and Dissertations

Annotation and analysis of sports videos is a time consuming task that, once automated, will provide benefits to coaches, players, and spectators. American football, as the most watched sport in the United States, could especially benefit from this automation. Manual annotation and analysis of recorded video of American football games is an inefficient and tedious process. Currently, most college football programs focus on annotating offensive formation. As a first step to further research for this unique application, we use computer vision and deep learning to analyze an overhead image of a football play immediately before the play begins. This analysis …

Efficient And Adaptive Decentralized Sparse Gaussian Process Regression For Environmental Sampling Using Autonomous Vehicles, Tanner A. Norton

Theses and Dissertations

In this thesis, I present a decentralized sparse Gaussian process regression (DSGPR) model with event-triggered, adaptive inducing points. This DSGPR model brings the advantages of sparse Gaussian process regression to a decentralized implementation. Being decentralized and sparse provides advantages that are ideal for multi-agent systems (MASs) performing environmental modeling. In this case, MASs need to model large amounts of information while having potential intermittent communication connections. Additionally, the model needs to correctly perform uncertainty propagation between autonomous agents and ensure high accuracy on the prediction. For the model to meet these requirements, a bounded and efficient real-time sparse Gaussian process …

Understanding College Students' Use Of Written Feedback In Mathematics, Erin Loraine Carroll

Theses and Dissertations

Many teachers want to help their students develop a growth mindset about their ability to do mathematics. Research has shown, however, that teachers simply do not know how to promote growth mindsets in their classrooms. Existing research suggests that one way teachers can support students' development of a growth mindset is through the written feedback they provide students. This study combines the research done on students' mindsets and written feedback to examine the interaction between student mindset and written feedback by analyzing written feedback provided to students in a College Algebra class and how students used that feedback based on …

The Influence Of Sex On Cognitive Control Performance And Frontoparietal Network Integrity In First Episode Psychosis, Kaitlyn Mcfarlane Greer

Theses and Dissertations

Cognitive deficits in first-episode psychosis (FEP) are well documented including deficits in cognitive control, but how sex may influence or impact these cognitive deficits is not well known. Cognitive deficits may impact multiple neural networks, including the fronto-parietal network (FPN). How sex may influence the structural integrity of regions in the FPN is also an important area of research in FEP that may provide further insight into the beginnings of the disease. The current study aimed to examine sexual dimorphisms in structural integrity of the frontoparietal network (FPN) and its role in cognitive control in FEP. A total of 111 …