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Articles 301 - 330 of 17159
Full-Text Articles in Entire DC Network
Cracking The Shell: A Corpus-Based Analysis Of The Functions Of Shell Nouns In American Legal Contracts, Geoffrey T. Julian
Cracking The Shell: A Corpus-Based Analysis Of The Functions Of Shell Nouns In American Legal Contracts, Geoffrey T. Julian
Undergraduate Honors Theses
The forms and functions of shell nouns (SN), semantically abstract nouns that can package and characterize complex segments of discourse, have been documented in academic discourse and L2 English writing (e.g., Aktas & Cortes, 2008; Benitez-Castro & Thompson, 2015). The abstract nature of SNs lends itself to use where vague language might be favored to allow for a variety of contingencies (Benitez-Castro, 2015). Thus, SNs have also been found to be present in legal language where some of these functions are desirable (Ren et al., 2019). The present study examines the use of SNs in a corpus of 2,700 US …
Liahona Project Data Set 3 Up To June, 2021, Yoshihiko Ariizumi
Liahona Project Data Set 3 Up To June, 2021, Yoshihiko Ariizumi
Spiritual Proficiency
This document is a collection of highlights extracted from more than 1000 articles from the Japanese online Liahona magazines, spanning from the beginning of 2019 to June, 2021. Each article was individually checked to extract inspirational principles and highlights from personal experiences, serving as a resource to develop Spiritual Proficiency and build the foundation for Wits Psychology (With the Spirit Psychology). The document is 97 pages long.
Liahona Project Data Set 2 Up To 2018, Yoshihiko Ariizumi
Liahona Project Data Set 2 Up To 2018, Yoshihiko Ariizumi
Spiritual Proficiency
This document is a collection of highlights extracted from more than 500 articles from the Japanese online Liahona magazines, up to the end of 2018. Each article was individually checked to extract inspirational principles and highlights from personal experiences, serving as a resource to develop Spiritual Proficiency and build the foundation for Wits Psychology. The document is 112 pages long.
Liahona Project Data Set 4 Up To 2023, Yoshihiko Ariizumi
Liahona Project Data Set 4 Up To 2023, Yoshihiko Ariizumi
Spiritual Proficiency
This document is a collection of highlights extracted from more than 1000 articles from the Japanese online Liahona magazines, spanning from July, 2021 to the end of 2023. Each article was individually checked to extract inspirational principles and highlights from personal experiences, serving as a resource to develop Spiritual Proficiency and build the foundation for Wits Psychology (With the Spirit Psychology). The document is 69 pages long.
What Is The Liahona Project?, Yoshihiko Ariizumi
What Is The Liahona Project?, Yoshihiko Ariizumi
Spiritual Proficiency
This article summarizes the genesis of the Liahona Project, the process involved, and the resulting materials.
Ethical Review Of Discipline-Based Education Research: Ensuring Fair Treatment For All, E. Elias Johnson
Ethical Review Of Discipline-Based Education Research: Ensuring Fair Treatment For All, E. Elias Johnson
Undergraduate Honors Theses
As universities grapple with funding cuts and heightened social and political pressure, the emerging field of Discipline-Based Education Research (DBER) aims to improve student learning outcomes through experimental instruction. While using instruction as an experiment, with hypotheses and experimental tests, DBER research may affect student learning and experience in unintended ways for students involved in these classes. To address this concern, I impose ethical frameworks, namely contractualism, to better understand how the values of each stakeholder, students enrolled in experimental courses and researchers using these courses to test hypotheses, interact. I also identify potential misalignments. Following a contractual ethical framework, …
Toward Understanding Multi-Agent Decision Making In Complex Societies, Jonathan Skaggs
Toward Understanding Multi-Agent Decision Making In Complex Societies, Jonathan Skaggs
Theses and Dissertations
This dissertation investigates Multi Agent Decision Making (MADM) within Complex Societies (CS), systems of interdependent agents whose collective behaviors emerge from local interactions. Such emergent dynamics are nonlinear and difficult to predict, posing significant challenges towards understanding how individual decisions scale to societal outcomes. Existing approaches often fall short of capturing the combined attributes of CS, including asymmetry, decentralization, and adaptivity. To address this gap, we introduce new models and analyses of agent strategies that explain how cooperation and stability can arise in CS. Structured around three interrelated projects, this dissertation enhances our comprehension of MADM in CS. The research …
Examining The Impact Of Social Media On The Nutrition Decisions Of College Students And Their Attitudes Toward Nutritional Guidelines, Katlyn Neibaur
Examining The Impact Of Social Media On The Nutrition Decisions Of College Students And Their Attitudes Toward Nutritional Guidelines, Katlyn Neibaur
Undergraduate Honors Theses
Social media is becoming an increasingly popular platform used by young people to garner information, but this information is not always accurate. Understanding the degree of influence social media has on college students’ dietary habits and attitudes toward nutritional guidelines is vital for improving nutrition literacy efforts and creating policies to protect against nutritional misinformation. This study examined the associations between the social media habits of college students, their attitudes toward nutritional guidelines, and their ability to detect nutritional misinformation. A cross-sectional survey was conducted with 457 undergraduate students at Brigham Young University. The content validity of the survey was …
Polydopamine-Coated Magnetic Nanoparticles Data, William G. Pitt
Polydopamine-Coated Magnetic Nanoparticles Data, William G. Pitt
ScholarsArchive Data
This data archive contains raw data and processed data related to research and development of magnetic nanoparticles that adhere to bacteria. This data is the foundation of data in the MS thesis of Bowen Houser, and publications and presentations related to that research effort. Polydopamine-coated magnetic nanoparticles are found to be very adhesive to gram-positive bacteria, and less adhesive to gram-negative bacteria. These data files contain information for S. aureus, S. epidermidis, S. mutans, E. coli, P. aeruginosa, and N. perflava. Some data include the kinetics of capture.
An Updated Perspective On Learning, Andrew S. Gibbons Iii
An Updated Perspective On Learning, Andrew S. Gibbons Iii
Faculty Publications
The subject of human learning is revisited. The emergence of new research findings in cognitive neuroscience and related disciplines using new imaging tools and techniques has revealed the existence of not one but two complementary learning systems. A newly-discovered prospection process, interacting with both memory systems, has been revealed as the pivotal mechanism of learning that leads to new experience and new memory records. The universal impact of emotion on this process also receives a new emphasis. This, coupled with the ever-present social environment, show learning to be the result of conversational activity. The existence of this more complete and …
Navigating Structure, Function, And Stability: Bridging Immunotherapy And Protein Engineering In The Era Of Machine Learning, Christopher J. Haynie
Navigating Structure, Function, And Stability: Bridging Immunotherapy And Protein Engineering In The Era Of Machine Learning, Christopher J. Haynie
Theses and Dissertations
The immune system is a remarkably adaptive network, yet it often fails to function optimally due to evasion strategies of pathogens or mutated cells. Many of these evasion strategies involve alterations in protein expression and function. Protein design is an area of computational biology with potential applications in improving protein function and therapeutic protein engineering. This thesis explores methods to enhance immune function and protein design across multiple scales, from molecular engineering of antibody fragments and chimeric antigen receptors (CARs) to cellular immune responses, and computational approaches for protein structure optimization. We characterize Thymidine Kinase 1-specific single-chain antibodies, highlighting both …
Edwin F. Parry, Myrna J. Layton
Edwin F. Parry, Myrna J. Layton
Faculty Publications
Edwin Francis Parry (June 11, 1860 – September 16, 1935) was a Utah typesetter, printer and writer who also loved music. He sang, played the organ and piano, wrote song lyrics and composed many songs and hymns.
Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte
Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte
Faculty Publications
Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …
Contextual Bandits For Non-Stationary Multi-Agent Environments Using Assumptions-Alignment Tracking, Ethan Pedersen
Contextual Bandits For Non-Stationary Multi-Agent Environments Using Assumptions-Alignment Tracking, Ethan Pedersen
Theses and Dissertations
A common challenge in AI is that of an agent possessing N distinct behaviors, each of which works effectively in certain tasks and circumstances, to choose from at any particular time. A popular approach to learn optimal selections in such contexts is found in bandit algorithms. However, traditional bandits often (1) assume the environment is stationary, (2) focus on asymptotic performance, and (3) do not incorporate available external information about the environment. While contextual bandits that do consider external information are designed to combat one of these challenges, the others remain problematic in realistic domains. This is especially true of …
An Analysis Of Large Language Model Hallucination And Creativity: Linear Representations And Causal Roles, Mckay Bowcut
An Analysis Of Large Language Model Hallucination And Creativity: Linear Representations And Causal Roles, Mckay Bowcut
Theses and Dissertations
Large language models (LLMs) show remarkable abilities in both factual and creative tasks, yet the problem of hallucination persists despite advances in training and post-training methods. Recent progress in model interpretability suggests that model behavior can be predicted and influenced by analyzing and manipulating internal activations. In this thesis, we address three questions: (1) Can we identify linear representations of hallucination and creativity in the model’s latent space? (2) Do these representations play a causal role in model behavior when manipulated? (3) Are creativity and hallucination causally intertwined? To answer these, we construct a novel dataset of factual, hallucinated, and …
Recommendations From Multi-Disciplinary Professionals For Survivor-Informed And Comprehensive Care For Human Trafficking Survivors, Christina Tsoi, Timothy B. Smith, Elizabeth Cutrer-Párraga, Devan Clayton, Joshua M. Marshall, Jamila Mastny
Recommendations From Multi-Disciplinary Professionals For Survivor-Informed And Comprehensive Care For Human Trafficking Survivors, Christina Tsoi, Timothy B. Smith, Elizabeth Cutrer-Párraga, Devan Clayton, Joshua M. Marshall, Jamila Mastny
Faculty Publications
Background: Human trafficking affects millions of people worldwide with multiple adverse outcomes including psychopathology. Although research on human trafficking has become abundant in other academic disciplines (e.g., public health, criminology, social work), healthcare research specific to the mental health treatment of survivors remains limited. Objective: The purpose of this study was to gather recommendations from professionals about mental health treatment of trafficking survivors. Method: Semi-structured interviews were conducted with 21 multidisciplinary professionals working with trafficking survivors. Data were analyzed using qualitative content analysis methodology. Results: An overarching theme derived from the data concerned the recommendation to implement trafficking survivor-informed care, …
Liahona Project Data Set 1 Up To 2016, Yoshihiko Ariizumi
Liahona Project Data Set 1 Up To 2016, Yoshihiko Ariizumi
Spiritual Proficiency
This document is a collection of highlights extracted from approximately 500 articles from the oldest Japanese online Liahona magazines, spanning from 2014 to the end of 2016. Each article was individually checked to extract inspirational principles and highlights from personal experiences, serving as a resource to develop Spiritual Proficiency and build the foundation for Wits Psychology. The document is 76 pages long.
Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv
Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv
Faculty Publications
Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …
Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye
Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye
Faculty Publications
The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …
Generative Ai In Chinese Esl Students’ Writing Processes: Stages, Methods, And Language Use, Runzhou Shan
Generative Ai In Chinese Esl Students’ Writing Processes: Stages, Methods, And Language Use, Runzhou Shan
Journal of Response to Writing
This paper explores how Chinese ESL students utilize Generative AI (Gen AI) in their writing processes, focusing on the stages of writing, specific methods of use, and language practices. The study was carried out in an English-medium instruction (EMI) environment at a Sino-American university in China. Data were collected through online surveys with 157 participants and follow-up interviews with nine students. Quantitative analysis of the survey data uncovered general patterns, while analysis of the interview data, using Polio & Freedman’s (2017) coding method to identify themes, provided detailed illustrations. Subsequent analysis indicates that students primarily engage with Gen AI in …
Fall 2025 Volume 11 Issue 2: Full Issue
Fall 2025 Volume 11 Issue 2: Full Issue
Journal of Response to Writing
No abstract provided.
Task Prioritization In Concurrent Speaking And Visuomotor Tasks In Younger And Older Adults, Naomi Wynn
Task Prioritization In Concurrent Speaking And Visuomotor Tasks In Younger And Older Adults, Naomi Wynn
Theses and Dissertations
The present study examined the ability of younger and older adults to prioritize one task over another under divided attention conditions. The speech task involved the repetition of sentences that included specific vowel targets, and the non-speech task was a visuomotor pursuit rotor task which required tracking a moving target on a computer. The participants were twenty young adults between the ages of 18 and 30 and twenty older adults above the age of 60. They performed each task on its own and both tasks concurrently, prioritizing one or the other task. Audio recordings were analyzed with software to extract …
Speech Motor Learning In Divided And Undivided Attention Conditions, Garrett Barnes
Speech Motor Learning In Divided And Undivided Attention Conditions, Garrett Barnes
Theses and Dissertations
This study investigated the effect of dual tasking on speech motor learning. Forty young adult participants (20 male, 20 female) practiced speaking nonsense words containing non-English consonant clusters. Half of the participants practiced the words while also completing a shape identification task. After practice, the two groups produced the words in a retention task both with and without the shape identification task. They returned the next day to produce the words again with and without the shape identification task. Acoustic analysis of the consonant cluster and word duration was used as an index of motor learning. Statistical analysis revealed that …
Creativity In Large Language Models, Robert Kenneth Morain
Creativity In Large Language Models, Robert Kenneth Morain
Theses and Dissertations
As artificial intelligence systems approach human-level performance across a wide variety of domains, creative domains remain a critical yet underexplored area of research. Unlike traditional AI tasks with well-defined objectives, creative tasks rely on inherently subjective measures, making them particularly challenging for machines that lack human experiential context. This dissertation establishes the fundamental importance of creativity in AI systems and presents methods for improving and evaluating the creative capabilities of LLMs on the pathway toward AGI. This work addresses and examines key limitations in current LLM creativity through model innovations, development frameworks, and comparative studies. The dissertation develops novel architectural …
Mapping Nonprofit Data Accessibility In Latin American Countries: Early Insights From An Exploratory Comparative Study, Angie Holzer, Tania Hernandez, Ted Gray Barnes Jr, Noah Ellis, Sumasri Jasti, Hannah Chu, Nithin Kumar, Evan Campione, Louis Ye, Quoc Thai Dinh
Mapping Nonprofit Data Accessibility In Latin American Countries: Early Insights From An Exploratory Comparative Study, Angie Holzer, Tania Hernandez, Ted Gray Barnes Jr, Noah Ellis, Sumasri Jasti, Hannah Chu, Nithin Kumar, Evan Campione, Louis Ye, Quoc Thai Dinh
Journal of Nonprofit Innovation
This paper presents findings from a global study of nonprofit data accessibility, focusing on Mexico and other Latin American countries. The analysis explores whether nonprofit databases exist, who operates them, what accessibility barriers are present, what requirements nonprofits must meet to register, and what registration costs they face. Using an exploratory comparative design, the study highlights both cross-country similarities and differences while situating nonprofit data systems within broader theories of transparency, accountability, and open-data governance.
Early insights reveal that about 70% of countries in Latin America maintain nonprofit registries, yet accessibility, usability, requirements, and costs vary widely. Registration processes range …
Realities Of Mexican Civil Society Organizations: Index For The Promotion Of Activities Of Civil Society Organizations, Pablo Armando Gonzalez Ulloa Aguirre
Realities Of Mexican Civil Society Organizations: Index For The Promotion Of Activities Of Civil Society Organizations, Pablo Armando Gonzalez Ulloa Aguirre
Journal of Nonprofit Innovation
This article presents the findings derived from the construction of an Index that evaluates the state of promotion of Civil Society Organizations (CSOs) across Mexico’s 32 federal entities during the year 2021. It also outlines the criteria considered in building the Index and the results obtained in each of its dimensions. The Index provides a comprehensive and multidimensional perspective on the study of CSO promotion, analyzing legal, institutional, and programmatic dimensions with the aim of comparing progress and setbacks in this area. In doing so, it offers an opportunity to improve certain aspects as more data is generated and made …
Fostering Belonging Through Library Descriptions, Nicole Lewis, Sharolyn Swenson, Katie Yeo, Karen Glenn
Fostering Belonging Through Library Descriptions, Nicole Lewis, Sharolyn Swenson, Katie Yeo, Karen Glenn
Faculty Publications
In late 2023, the BYU Library adopted its Inclusive Metadata Policy as part of its commitment to fostering a campus culture of belonging. This policy reflects the Statement on Belonging, which affirms that we “value and embrace the variety of individual characteristics, life experiences and circumstances, perspectives, talents, and gifts of each member of the community and the richness and strength they bring to our community.”[1] Catalogers and archival processors at the library are engaging in practices of cultural humility to ensure that the language and frameworks we use to describe people, communities, and histories are inclusive and respectful. …
Who Gets Stitches? The Effects Of Rewarding Whistleblowers And Protecting Their Identity On Subsequent Willingness To Work With Others, Ryan D. Sommerfeldt
Who Gets Stitches? The Effects Of Rewarding Whistleblowers And Protecting Their Identity On Subsequent Willingness To Work With Others, Ryan D. Sommerfeldt
Faculty Publications
Marital Conflict And Male Depression: The Role Of Emotional Withdrawal And Hostility, Nicolas Enzo Mouhsen
Marital Conflict And Male Depression: The Role Of Emotional Withdrawal And Hostility, Nicolas Enzo Mouhsen
Family Perspectives
This literature review investigates the relationship between marital conflict and male depression, focusing on emotional withdrawal and spousal hostility as key contributing factors. Male depression, often underreported due to differences in symptom expression such as anger and irritability, is explored in the context of marital dynamics. Emotional withdrawal, characterized by avoidance behaviors during conflict, is particularly prevalent among men and linked to rigid gender role perceptions. This behavior correlates with increased depressive symptoms and reduced well-being. Additionally, spousal hostility, including verbal aggression and criticism, exacerbates male depression through both the perception of aggression from a partner and self-awareness of hostile …