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Articles 1231 - 1260 of 8046
Full-Text Articles in Entire DC Network
Don't Call Us, We'll Call You: An Empirical Study Of Caller Behavior Under A Callback Option, Brett A. Hathaway, Seyed Morteza Emadi, Vinayak Deshpande
Don't Call Us, We'll Call You: An Empirical Study Of Caller Behavior Under A Callback Option, Brett A. Hathaway, Seyed Morteza Emadi, Vinayak Deshpande
Faculty Publications
While call centers have recently invested in callback technology, the impact of this innovation on caller behavior and call center performance is not clearly understood. Using call center data from a US commercial bank, we perform an empirical study of the callers' decision-making process in the presence of a callback option. We formulate a structural model of the caller decision-making process, and impute their underlying preferences from the data. Our estimates show that callers experience substantially less discomfort per unit of time while waiting for callbacks than while waiting in queue. However, we also find that, after controlling for expected …
What Can Mental Health Teach Us About Social Media Screen Time Misestimation?, Mark Keith, Parker Nokes, Alexandra Spruill
What Can Mental Health Teach Us About Social Media Screen Time Misestimation?, Mark Keith, Parker Nokes, Alexandra Spruill
Faculty Publications
Mobile platform providers have provided the ability to measure the time consumers spend on each app. This provides the opportunity to measure a consumer’s misestimation of their screentime which is a concept relevant to several mental health attributes such as depression, anxiety, and addiction. We provide additional evidence about the effect of objective screentime on mental health, but add a unique perspective on how screentime misestimation is determined by various mental health attributes. We collected data from a student sample (n=1005) who are from the demographic who most commonly use social media apps (18-29 yr olds). We measured our model …
Sources Of Formaldehyde In Bountiful Ut Data, Nitish Bhardwaj, Ariel Kelsch, Delbert Eatough, Ryan Thalman, Nancy Daher, Kerry Kelly, Isabel Cristina Jaramillo, Jaron Hansen
Sources Of Formaldehyde In Bountiful Ut Data, Nitish Bhardwaj, Ariel Kelsch, Delbert Eatough, Ryan Thalman, Nancy Daher, Kerry Kelly, Isabel Cristina Jaramillo, Jaron Hansen
ScholarsArchive Data
Source of Formaldehyde in Bountiful, UT Data
This file contains the X and U matrix used in the positive matrix factorization analysis done on the data collected in Bountiful, UT. The X matrix contains the concentration of species measured and the U matrix is the calculated uncertainty in each measured value. This data is stored in the Excel format.
Included in this file is the two-hour averaged concentrations of formaldehyde and ozone, wind direction, time of day, and date that the data was collected at the Bountiful, UT air sampling site located at the Bountiful Utah High School. This data …
In Vitro Screening Of Tp5801 Against Kinases For Nature Communications Publication, Joshua Andersen
In Vitro Screening Of Tp5801 Against Kinases For Nature Communications Publication, Joshua Andersen
ScholarsArchive Data
Data from screen of TP-5801 against in vitro kinases
Improvement In 14-3-3 Binding Site Prediction, Katherine K. Mccormack
Improvement In 14-3-3 Binding Site Prediction, Katherine K. Mccormack
ScholarsArchive Data
The 14-3-3 family of phospho-binding proteins regulate a variety of major cellular processes through interaction with a network of dynamic proteins. Deregulation of the 14-3-3 interaction network contributes to a variety of degenerative disorders and cancers. Our lab focuses on identifying novel 14-3-3 interactions and understanding how 14-3-3 binding regulates protein function. A major gap in this process is that identifying the phospho-site where 14-3-3 docks on a given protein is time- and resource-consuming. Prediction algorithms have been developed to predict canonical 14-3-3 binding sites, however, there are many non-canonical sites that existing software is unable to predict. To fill …
Kinase Screen Data For Nature Communications Publication, Joshua Andersen
Kinase Screen Data For Nature Communications Publication, Joshua Andersen
ScholarsArchive Data
A TNK1 peptide encompassing S502 was screened against 245 Ser/Thr kinases. This file contains kinase activity values (against S502) from an n=1 experiment. These data support a manuscript to be published in Nature Communications (Chan and Egbert et al.)
Who Gets ‘To Guru’? Scientist Ted Speakers And The Role Of Collective Identity In Peer Evaluation Of Audience Diversification, Brian P. Reschke, Taeya M. Howell
Who Gets ‘To Guru’? Scientist Ted Speakers And The Role Of Collective Identity In Peer Evaluation Of Audience Diversification, Brian P. Reschke, Taeya M. Howell
Faculty Publications
As producers diversify to additional audiences, they invite scrutiny of themselves and the products they provide, both by external evaluators as well as peer producers. We argue that in certain conditions, audience diversification may suggest producers represent their producer group, prompting special scrutiny by peers. In these cases, peer evaluation of diversification depends on the correspondence between the identity of the diversifying producer and the collective identity of the producer group, such that peers sanction non-prototypical producers and support exemplary producers. We develop and test hypotheses in the context of science, examining how appeals to the general public—giving a TED …
Can User Interface Design Choices Alter Perceptions Of Time Passage?, James Gaskin
Can User Interface Design Choices Alter Perceptions Of Time Passage?, James Gaskin
Faculty Publications
When a task is dull, time seems to unhelpfully dilate. This can have serious impacts on job satisfaction, burnout, and turnover – all of which impact employee well-being and the bottom line. Without changing the task, could a user interface take advantage of psychology-driven, theoretically-supported design decisions to make time seem to contract? If such is the case, we might, without much cost, partially alleviate employee suffering due to task fatigue and disinterest by making simple changes to the user interface. While psychology research and user interface design have intersected abundantly in extant literature, no study has empirically tested whether …
The Effects Of High Estimate Uncertainty In Auditor Negligence Litigation*, Jeffrey Pickerd, M. David Piercey
The Effects Of High Estimate Uncertainty In Auditor Negligence Litigation*, Jeffrey Pickerd, M. David Piercey
Faculty Publications
We examine how jurors’ negligence judgments and attorneys’ out-of-court settlements are differently impacted by two features of a materially misstated accounting estimate—the amount of estimate uncertainty and whether the misstated account is disaggregated into its own line-item or aggregated with other accounts into a single financial statement line-item. We predict and find that jurors and attorneys react to estimate uncertainty in opposite directions under common conditions. This finding is important because when jurors’ judgments and attorneys’ settlements differ, research into juror judgments alone may not capture a complete picture of auditor liability because the vast majority of audit litigation is …
User Guide For Dust Modeling Using Cmaq 5.3.1 And Wrf 4.2.1, Zachary D. Lawless, Ariel S. Cable, Cameron B. Van Dyke, Bradley R. Adams
User Guide For Dust Modeling Using Cmaq 5.3.1 And Wrf 4.2.1, Zachary D. Lawless, Ariel S. Cable, Cameron B. Van Dyke, Bradley R. Adams
Faculty Publications
Researchers at Brigham Young University (BYU) have developed a software framework for modeling dust emission and transport using the Community Multiscale Air Quality (CMAQ) modeling system in conjunction with the Weather Research and Forecasting (WRF) model and other utility programs. This framework uses meteorological data, land use data, and soil properties to predict dust concentrations for a specified area. This User Guide describes the start-to-finish process required to install and utilize relevant software to calculate and visualize dust concentrations. Note that the examples and figures provided in the guide are specific to Utah in the western United States, where this …
The Effect Of Help Seeking On Creative Self- Efficacy Of Is Students, Cherileigh Leavitt, Madison Corbin, Mark J. Keith, Ryan M. Schuetzler, Degan Kettles, Greg Anderson
The Effect Of Help Seeking On Creative Self- Efficacy Of Is Students, Cherileigh Leavitt, Madison Corbin, Mark J. Keith, Ryan M. Schuetzler, Degan Kettles, Greg Anderson
Faculty Publications
Research has demonstrated that student help-seeking behaviors have a variety of positive influences in the classroom. However, the primary outcome of these studies is typically student grades and general self-efficacy. To make a contribution to the IS discipline, we expand this research with a more targeted and specific measure of self-efficacy that was created for IS students: creative self-efficacy (CreaSE) in the IS discipline. This allows us to relate specific help-seeking behaviors to CreaSE sub-constructs which, in turn, allows us to make more targeted recommendations to instructors in IS programs who want to improve the quality and retention of their …
Blockchain Technology: A Survey Of Croatian Business Leaders, Dražen Zec, William G. Heninger
Blockchain Technology: A Survey Of Croatian Business Leaders, Dražen Zec, William G. Heninger
Faculty Publications
Blockchain or distributed ledger technology emerged over ten years ago as the underlying technology of bitcoin. Blockchain is a special kind of database with individual records or blocks linked together in a sequential list called chain of blocks. These records are validated by multiple nodes in peer-to-peer networks and they are immutable. It is a decentralized system, with no need for intermediaries where all decisions are made using different consensus mechanisms. High expectations from blockchain technology, combined with a lack of deeper knowledge about the technology are expressed in the results from the survey conducted on a sample of Croatian …
Preparing Teachers To Teach In K-12 Blended Environments: A Systematic Mapping Review Of Research Trends, Impact, And Themes, Cecil R. Short, Charles R. Graham, Theresa Holmes, Laura Oviatt, Hannah Bateman
Preparing Teachers To Teach In K-12 Blended Environments: A Systematic Mapping Review Of Research Trends, Impact, And Themes, Cecil R. Short, Charles R. Graham, Theresa Holmes, Laura Oviatt, Hannah Bateman
Faculty Publications
No abstract provided.
Leveraging The Inductive Bias Of Large Language Models For Abstract Textual Reasoning, Christopher Michael Rytting
Leveraging The Inductive Bias Of Large Language Models For Abstract Textual Reasoning, Christopher Michael Rytting
Theses and Dissertations
Large natural language models (such as GPT-2 or T5) demonstrate impressive abilities across a range of general NLP tasks. Here, we show that the knowledge embedded in such models provides a useful inductive bias, not just on traditional NLP tasks, but also in the nontraditional task of training a symbolic reasoning engine. We observe that these engines learn quickly and generalize in a natural way that reflects human intuition. For example, training such a system to model block-stacking might naturally generalize to stacking other types of objects because of structure in the real world that has been partially captured by …
A Water Budget And Solute Flux Budget For Waimea River Watershed, Kauai, Hi, U.S.A., Joseph Harold Tolworthy
A Water Budget And Solute Flux Budget For Waimea River Watershed, Kauai, Hi, U.S.A., Joseph Harold Tolworthy
Theses and Dissertations
Waimea Canyon is a deep V-shaped canyon on the island of Kauai, Hawaii in which the Waimea River and its tributaries flow. The shape and size of the canyon are noteworthy and unusual compared to its contemporary canyons on the Hawaiian Islands which are usually U-shaped or flat bottomed. This could be because there is significantly more physical erosion in Waimea Canyon compared to others. A water budget was created using ArcGIS Pro and data from the University of Hawaii’s rainfall and evapotranspiration atlases, as well as from the United States Geological Survey’s stream gage data. A mass flux was …
Spectral Absorption Coefficient Of Additive Manufacturing Materials, Nicholas J. Wallace, Matthew R. Jones, Nathan B. Crane
Spectral Absorption Coefficient Of Additive Manufacturing Materials, Nicholas J. Wallace, Matthew R. Jones, Nathan B. Crane
Faculty Publications
Active thermography techniques are of interest for quality assurance of additive manufacturing processes. However, accurate measurements of thermophysical properties of materials are required to successfully implement active thermography. In particular, the spectral absorption coefficient of materials commonly used in additive manufacturing must be known to accurately predict the spatial distribution of thermal energy generated from absorption of power emitted by a laser or pulsed flash lamp. Accurate measurements of these optical properties are also needed to develop greater understanding of additive manufacturing processes that rely on radiative heat transfer to fuse powders. This paper presents spectral absorption coefficient measurements and …
An Examination Of Motivation Types And Their Influence On English Proficiency For Current High School Students In South Korean, Euiyong Jung
An Examination Of Motivation Types And Their Influence On English Proficiency For Current High School Students In South Korean, Euiyong Jung
Theses and Dissertations
Despite huge investments in national English language policies, few South Koreans develop communicable English proficiency. Yet, English language proficiency for all secondary and college students continues to be the goal of these policies (Moodie & Nam, 2015; Ahn, 2015). One of the fundamental reasons for the lack of communicable English proficiency was based on the social phenomenon, called 'hakbuljueui', or academic elitism, in Korea (Kim. T.-Y., 2006) whereby students seem to be instrumentally motivated to learn English only to pass the College Scholastic Ability Test (CSAT), and gain admission to elite Universities (Kim, T.-Y., 2006; Kim, K., 2016). The current …
The Impact Of Calendering On The Electronic Conductivity Heterogenity Of Lithium-Ion Electrode Films, Emilee Elizabeth Hunter
The Impact Of Calendering On The Electronic Conductivity Heterogenity Of Lithium-Ion Electrode Films, Emilee Elizabeth Hunter
Theses and Dissertations
Advancements in Li-ion batteries are needed especially for the development of electric vehicles and stationary energy storage. Prior research has shown mesoscale variations in electrode electronic conductive properties, which can cause capacity loss and uneven electrochemical behavior of Li-ion batteries. A micro-four-line probe (μ4LP) was used to measure electronic conductivity and contact resistance over mm-length scales in that prior work. This work describes improvements to overcome the challenge of unreliable surface contact between theμ4LP and the sample. Ultimately a second generation flexible probe called the micro-radial-surface probe (μ4LP) was designed and produced. The test fixture was also optimized to obtain …
Nature And Origin Of The East Traverse Mountains Mega-Landslide, Northern Utah (Usa), Rodney Ryan Chadburn
Nature And Origin Of The East Traverse Mountains Mega-Landslide, Northern Utah (Usa), Rodney Ryan Chadburn
Theses and Dissertations
The East Traverse Mountains are an E-W trending mountain range dividing Utah and Salt Lake valleys in northern Utah. Geologically perplexing, the nature of the East Traverse Mountains has been under investigation for 140 years. Previously, the mountain range was proposed to be a dismembered but still coherent down-faulted block that experienced 4 km of post-thrusting extension within the Charleston-Nebo thrust sheet. However, new insight on the origin of the East Traverse Mountains indicate that it is a mega landslide, roughly ~100 km3 in size, which catastrophically slid from the upper reaches of the Little-Cottonwood stock to its present-day location. …
Interventions And Supports To Ameliorate Math Anxiety In K-12 Schools: A Meta-Analysis Of Experimental Group Design Research, Madeline Rose Hardy
Interventions And Supports To Ameliorate Math Anxiety In K-12 Schools: A Meta-Analysis Of Experimental Group Design Research, Madeline Rose Hardy
Theses and Dissertations
"Math anxiety is commonly defined as a feeling of tension, apprehension, or fear that interferes with math performance" (Ashcraft, 2002, p. 181). Symptoms of math anxiety are reported by 33% of students by the time they reach the age of 15, possibly contributing to this workforce dilemma (Organisation for Economic Co-operation and Development, 2013). Many models and perspectives of math anxiety have been established including conceptualizing math anxiety as a function of working memory deficits, sociocultural conditioning, lack of reappraisal, and anxiety as a precursor to escape-maintained behavior. Math anxiety is more common in individuals with certain disabilities, such as …
Instrumentation And Application Of Image-Charge Detection Of Electrospray-Charged Microparticles And Microdroplets, Jiuzhi Gao
Theses and Dissertations
Image-charge detection is emerging as an important tool to analyze heavy and heterogeneous samples because of its unique advantages in measuring highly charged microparticles. Conventional image-charge detection instruments include at least three fundamental components: an ionization source, an aerodynamic particle delivery system, and an image-charge detector. Here I report research efforts that investigated the mechanisms of image-charge detection and proposed some instrumental developments of these components to suit specific research purposes. In Chapter 2, I report an investigation of the electrospray ionization (ESI) mechanism based on an observation that a certain portion of charged particles generated with an ESI source …
Signal Transport And Rf Over Fiber Design For Alpaca, Erich Johannes Nygaard
Signal Transport And Rf Over Fiber Design For Alpaca, Erich Johannes Nygaard
Theses and Dissertations
The design of the RF over fiber signal transport system for the ALPACA receiver is described, with particular attention to the strict noise requirements as well as dynamic range considerations. Also discussed are analytical tools for analyzing dynamic range in the context of RFI-rich radio astronomy observational settings, including formulas for maximum interference to noise ratios and a simulation framework for predicting distortion levels. Phase and gain stability measurements of the signal transport system are presented, including the effects of the multi-strand armored fiber optic cable. The resulting system meets design requirements, with equivalent noise temperature below 900 K in …
One-Dimensional Turbulence (Odt): Computationally Efficient Modeling And Simulation Of Turbulent Flows, Victoria B. Stephens, David O. Lignell
One-Dimensional Turbulence (Odt): Computationally Efficient Modeling And Simulation Of Turbulent Flows, Victoria B. Stephens, David O. Lignell
Faculty Publications
One-dimensional turbulence (ODT) is an accurate and computationally efficient model for simulating turbulent flows. ODT has been applied to a wide range of flow problems including reaction, multiphase, differential diffusion, heat release, buoyancy, and wall flows. Applications include use as a standalone model and as a closure for large-eddy simulation (LES). Its strength lies in the ability to capture a full range of turbulent length and time scales. The ODT model is strongly coupled with its implementation, complicating its formulations. We present a modern, open-source, object-oriented C++ implementation of ODT. The code described here and made available online can be …
Methods For Generative Adversarial Output Enhancement, Michael B. Brodie
Methods For Generative Adversarial Output Enhancement, Michael B. Brodie
Theses and Dissertations
Generative Adversarial Networks (GAN) learn to synthesize novel samples for a given data distribution. While GANs can train on diverse data of various modalities, the most successful use cases to date apply GANs to computer vision tasks. Despite significant advances in training algorithms and network architectures, GANs still struggle to consistently generate high-quality outputs after training. We present a series of papers that improve GAN output inference qualitatively and quantitatively. The first chapter, Alpha Model Domination, addresses a related subfield of Multiple Choice Learning, which -- like GANs -- aims to generate diverse sets of outputs. The next chapter, CoachGAN, …
Memes: The Digital Folklore Joke, Joseph Avila
Memes: The Digital Folklore Joke, Joseph Avila
Final Projects
A study and analysis on memes as digital folklore.
Houghton Family Pie-Lore, Tess Mika
Houghton Family Pie-Lore, Tess Mika
Final Projects
The traditions and stories about pie that run through the Houghton family.
Structures And Characteristics Of Macromolecular Interactions In Gas Phase Using Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry, Jiewen Shen
Theses and Dissertations
This dissertation investigates non-covalent macromolecular chemistry using Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) based techniques. The included studies reveal the impact of molecular structure on conformation and binding energetics. Supramolecules that might be too heavy to be dissociated in single collision-induced dissociation (CID) were dissociated using sustained off-resonance collision induced dissociation (SORI-CID) techniques. Relative binding energies and thresholds were evaluated for various macromolecular host-guest systems. Besides the non-covalent binding energies, conformation characterization was undertaken by a novel method to determine collision cross sectional areas using FTICR (CRAFTI, and multi-CRAFTI), initially developed by the Dearden lab. The systems chosen …
Defining And Measuring Learner-Content Interaction In Digitally Augmented Learning Experiences, Sandra Thatcher Powell
Defining And Measuring Learner-Content Interaction In Digitally Augmented Learning Experiences, Sandra Thatcher Powell
Theses and Dissertations
Using content analysis, researchers reviewed literature to identify the meanings attached to and methods used for measuring learner-content interaction in digitally augmented learning experience. Digitally augmented learning experiences are defined in this dissertation as situations where a learner interacts with content delivered using a computer. Examples include online learning using a desktop, laptop, or mobile device, classroom use of a device to interact with content such as a digital textbook, computer simulation, augmented or virtual reality, smart watch or phone, or other similar educational activities. These activities can be delivered directly from a digital device, over a wireless connection, or …
Novel Αvβ6 Inhibitor Reduces Fibrotic Progression In Idiopathic Pulmonary Fibrosis Murine Model, Rebecca C. Viazzo Winegar
Novel Αvβ6 Inhibitor Reduces Fibrotic Progression In Idiopathic Pulmonary Fibrosis Murine Model, Rebecca C. Viazzo Winegar
Theses and Dissertations
Idiopathic pulmonary fibrosis (IPF) is one of the most aggressive and severe interstitial lung diseases (ILDs) for which there is no cure. IPF is characterized by an excessive accumulation of fibroblasts which secrete an abundance of extracellular proteins such as collagen. These processes lead to repetitive tissue scarring and fibrosis in the lung parenchyma. As a result, lungs become rigid limiting oxygen intake and gas exchange. Once diagnosed, IPF is fatal within 2-3 years. There is no known cause or proven treatment that significantly improves outcomes. Although the cause is unknown, the current model of IPF suggests that an overactive …
Metalearning By Exploiting Granular Machine Learning Pipeline Metadata, Brandon J. Schoenfeld
Metalearning By Exploiting Granular Machine Learning Pipeline Metadata, Brandon J. Schoenfeld
Theses and Dissertations
Automatic machine learning (AutoML) systems have been shown to perform better when they use metamodels trained offline. Existing offline metalearning approaches treat ML models as black boxes. However, modern ML models often compose multiple ML algorithms into ML pipelines. We expand previous metalearning work on estimating the performance and ranking of ML models by exploiting the metadata about which ML algorithms are used in a given pipeline. We propose a dynamically assembled neural network with the potential to model arbitrary DAG structures. We compare our proposed metamodel against reasonable baselines that exploit varying amounts of pipeline metadata, including metamodels used …