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Articles 361 - 390 of 2906

Full-Text Articles in Physical Sciences and Mathematics

Metalearning By Exploiting Granular Machine Learning Pipeline Metadata, Brandon J. Schoenfeld Dec 2020

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 …

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Galectin-1 Improves Sarcolemma Repair And Decreases The Inflammatory Response In Lgmd2b Models, Matthew F. Rathgeber Dec 2020

Galectin-1 Improves Sarcolemma Repair And Decreases The Inflammatory Response In Lgmd2b Models, Matthew F. Rathgeber

Theses and Dissertations

Limb-girdle muscular dystrophy type 2B (LGMD2B) is caused by mutations in the dysferlin gene, resulting in non-functional dysferlin, a key protein found in muscle membrane. Treatment options available for patients are chiefly palliative in nature and focus on maintaining ambulation. Our hypothesis is that galectin-1 (Gal-1), a soluble carbohydrate binding protein, increases membrane repair capacity, myogenic potential, M2 macrophage polarization and decreases NF-κB inflammation in dysferlin-deficient models. To test this hypothesis, we used recombinant human galectin-1 (rHsGal-1) to treat dysferlin-deficient models. We show that rHsGal-1 treatments of 48 h-72 h promotes myogenic maturation as indicated through improvements in size, myotube …

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Novel Αvβ6 Inhibitor Reduces Fibrotic Progression In Idiopathic Pulmonary Fibrosis Murine Model, Rebecca C. Viazzo Winegar Dec 2020

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 …

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Building A Predictive Model For Stratigraphic Transitions And Lateral Facies Changes In The Cretaceous Almond Formation, Wyoming, Joseph E. Phillips Dec 2020

Building A Predictive Model For Stratigraphic Transitions And Lateral Facies Changes In The Cretaceous Almond Formation, Wyoming, Joseph E. Phillips

Theses and Dissertations

The Cretaceous Almond Formation, located in the Greater Green River Basin, records deposition of coastal plain fluvial sandstones and shallow marginal-marine sandstones in a net-transgressive sequence along the western margin of the Cretaceous Interior Seaway (CIS) from the late Campanian to early Maastrichtian. The Almond Formation is an important hydrocarbon reservoir, with development mainly along the Wamsutter Arch and the northeast margins of the Washakie Basin. Previous studies have primarily focused on outcrops along the eastern flank of the Rock Springs Uplift and subsurface data targeting the Wamsutter Arch. Further development of the Almond petroleum system requires extending our understanding …

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Segment And Intersection Crash Analysis Methodologies For Utah Highways, Camille Cherie Lunt Dec 2020

Segment And Intersection Crash Analysis Methodologies For Utah Highways, Camille Cherie Lunt

Theses and Dissertations

This research focuses on the Crash Analysis Methodology for Segments (CAMS) which provides a way for engineers at the Utah Department of Transportation (UDOT) to prioritize safety improvements on state-owned roadways. Unlike the Utah crash analysis methodologies that come before it, the CAMS focuses exclusively on segment-related crashes. The benefits of such an analysis can be found in identifying locations that have safety concerns unbiased from intersections and their related crashes. The CAMS uses UDOT data to create a spreadsheet of roadway segments and their associated crashes. Each segment is homogeneous with respect to five variables: Annual Average Daily Traffic …

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Varying The Aspect Ratio Of Toroidal Ion Traps: Implications For Design, Performance, And Miniaturization, Praneeth Madushan Hettikankanange Dec 2020

Varying The Aspect Ratio Of Toroidal Ion Traps: Implications For Design, Performance, And Miniaturization, Praneeth Madushan Hettikankanange

Theses and Dissertations

A large aspect ratio leads to higher ion capacity in miniaturized ion trap mass spectrometers. The aspect ratio (AR) of an ion trap represents the ratio between an extended trapping dimension and the characteristic trapping dimension. In contrast to linear and rectilinear traps, changing the AR of a toroidal ion trap (TorIT) results in changes to the degree of curvature and shape of the trapping potential, and hence, on performance as a mass analyzer. SIMION simulations show that higher-order terms in the trapping potential vary strongly for small and moderate AR values (below ~10), with the effects asymptotically flattening for …

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The Impact Of Experiential Virtual Dinosaur Excavation Assignments On Exam Preparation And Performance Inâ An Introductory, University-Level Geology Course, Nicole Elizabeth Ortiz Dec 2020

The Impact Of Experiential Virtual Dinosaur Excavation Assignments On Exam Preparation And Performance Inâ An Introductory, University-Level Geology Course, Nicole Elizabeth Ortiz

Theses and Dissertations

Advocates assert that experiential/applicational learning facilitates deep understanding but there is a dearth of empirical research testing the effectiveness of experiential learning in university geology courses. Domack (1999) and Moecher (2004) document applicational assignments within geology courses. These evaluations, however, are based solely on instructor opinion and informal student comments. To evaluate the effectiveness of experiential assignments this study utilizes empirical data from control and test groups in each of two semesters of Geology 100, a general education course on dinosaurs. Control groups completed traditional research papers which were replaced by experiential assignments in the test groups. The first semester …

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Trace: A Differentiable Approach To Line-Level Stroke Recovery For Offline Handwritten Text, Taylor Neil Archibald Dec 2020

Trace: A Differentiable Approach To Line-Level Stroke Recovery For Offline Handwritten Text, Taylor Neil Archibald

Theses and Dissertations

Stroke order and velocity are helpful features in the fields of signature verification, handwriting recognition, and handwriting synthesis. Recovering these features from offline handwritten text is a challenging and well-studied problem. We propose a new model called TRACE (Trajectory Recovery by an Adaptively-trained Convolutional Encoder). TRACE is a differentiable approach using a convolutional recurrent neural network (CRNN) to infer temporal stroke information from long lines of offline handwritten text with many characters. TRACE is perhaps the first system to be trained end-to-end on entire lines of text of arbitrary width and does not require the use of dynamic exemplars. Moreover, …

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Lithofacies, Sequence Stratigraphy, And Sedimentology Of Desert Creek Platform, Slope, And Basin Carbonates, Southern Margin Of The Aneth Complex, Middle Pennsylvanian, Paradox Basin, Utah, Christopher M. Perfili Nov 2020

Lithofacies, Sequence Stratigraphy, And Sedimentology Of Desert Creek Platform, Slope, And Basin Carbonates, Southern Margin Of The Aneth Complex, Middle Pennsylvanian, Paradox Basin, Utah, Christopher M. Perfili

Theses and Dissertations

The Aneth Field in the Paradox Basin (SE Utah) has produced nearly 500 MMbbls of oil from phylloid-algal and oolitic carbonate reservoirs of the lower and upper Desert Creek (Paradox Formation, Middle Pennsylvanian) sequences, respectively. The oil resides in a 150 to 200 foot-thick isolated carbonate platform located in a distal ramp setting on the southwest margin of the Paradox Basin. The horseshoe-shaped platform is roughly 12 miles in diameter with an aerial extent of approximately 144 square miles. Evaluation of the platform-to-basin transition on the leeward (southern) margin of the Aneth Platform, the focus of this study, was made …

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An Ulk1-Independent Mechanism Of Atg9a Regulation In Basal Autophagy, Ashari Rashmi Kannangara Nov 2020

An Ulk1-Independent Mechanism Of Atg9a Regulation In Basal Autophagy, Ashari Rashmi Kannangara

Theses and Dissertations

Macroautophagy (hereafter referred to as autophagy) is the bulk degradation and recycling of cytoplasmic materials by forming a double membrane vesicle called the autophagosome. Autophagosome formation is regulated by the coordinated action of a set of proteins. ATG9A is the only multispanning transmembrane protein that plays an essential role in autophagosome formation, yet its function is largely elusive. Previous studies have shown that the C-terminus of ATG9A plays an important role in regulating its trafficking and proper function in autophagy. In line with that idea, we previously identified an AMPK- and ULK1- mediated phosphorylation on the C terminus of ATG9A …

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Formulating A Crowd State Prediction Problem For Application To Crowd Control, Brooks A. Butler Nov 2020

Formulating A Crowd State Prediction Problem For Application To Crowd Control, Brooks A. Butler

Theses and Dissertations

This project considers a new application of crowd control, namely, keeping the public safe during large scale demonstrations. This problem is difficult for a variety of reasons, including limited access to informative sensing and effective actuation mechanisms, as well as limited understanding of crowd psychology and dynamics. This project takes a first step towards solving this problem by formulating a crowd state prediction problem in consideration of recent work involving crowd behavior identification, crowd movement modeling, and crowd psychology modeling. We build a non-linear crowd behavior model incorporating components of personality modeling, human emotion modeling, group opinion dynamics, and group …

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Predicting Plans And Actions In Two-Player Repeated Games, Najma Mathema Sep 2020

Predicting Plans And Actions In Two-Player Repeated Games, Najma Mathema

Theses and Dissertations

Artificial intelligence (AI) agents will need to interact with both other AI agents and humans. One way to enable effective interaction is to create models of associates to help to predict the modeled agents' actions, plans, and intentions. If AI agents are able to predict what other agents in their environment will be doing in the future and can understand the intentions of these other agents, the AI agents can use these predictions in their planning, decision-making and assessing their own potential. Prior work [13, 14] introduced the S# algorithm, which is designed as a robust algorithm for many two-player …

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Semantic-Driven Unsupervised Image-To-Image Translation For Distinct Image Domains, Wesley Ackerman Sep 2020

Semantic-Driven Unsupervised Image-To-Image Translation For Distinct Image Domains, Wesley Ackerman

Theses and Dissertations

We expand the scope of image-to-image translation to include more distinct image domains, where the image sets have analogous structures, but may not share object types between them. Semantic-Driven Unsupervised Image-to-Image Translation for Distinct Image Domains (SUNIT) is built to more successfully translate images in this setting, where content from one domain is not found in the other. Our method trains an image translation model by learning encodings for semantic segmentations of images. These segmentations are translated between image domains to learn meaningful mappings between the structures in the two domains. The translated segmentations are then used as the basis …

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A Developer Usability Study Of Tls Libraries, Jonathan Blake Armknecht Sep 2020

A Developer Usability Study Of Tls Libraries, Jonathan Blake Armknecht

Theses and Dissertations

Transport Layer Security (TLS) is a secure communication protocol between a client and a server over a network. The TLS protocol provides the two endpoints with confidentiality through symmetric encryption, endpoint authentication using public-key cryptography, and data integrity using a MAC. However, studies show that security vulnerabilities within TLS connections are often caused by developers misusing TLS library APIs. We measure the usability of four TLS libraries by performing a developer user study. Participants were given code that connects to google.com through HTTP, and tasked with using a TLS library to change the code so that it connects securely to …

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Ansible: Select-To-Edit For Physical Widgets, Benjamin M. Crowder Sep 2020

Ansible: Select-To-Edit For Physical Widgets, Benjamin M. Crowder

Theses and Dissertations

Ansible brings select-to-edit functionality to physical widgets. When programming sets of physical widgets, it can be bothersome for a programmer to remember the name of the software object that corresponds to a specific widget. Click-to-edit functionality in GUI programming provides a physical action--moving the mouse to a widget and clicking a button on the mouse--to select a virtual widget. In a similar vein, when programming physical widgets, it is natural to point at a widget and think, "I want to program that one." Ansible allows physical user interface programmers to "click" on a physical widget by making a physical action: …

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Physical Characterization Of Crackle-Related Events In Military Jet Aircraft Noise, Aaron Burton Vaughn Aug 2020

Physical Characterization Of Crackle-Related Events In Military Jet Aircraft Noise, Aaron Burton Vaughn

Theses and Dissertations

Crackle is a perceptual feature of supersonic jet noise that is related to the presence of acoustic shocks. The skewness of the time-derivative of the pressure waveform, or derivative skewness, is used as a metric indicative of crackle perception. The three main objectives of this work are: 1) Determine the potential spatial origin of crackle-related events in the near field of a high-performance military aircraft via an event-based beamforming method. 2) Investigate the potential for nonlinear, irregular shock reflections occurring along the near-field ground array and their implications on derivative skewness. 3) Relate the near-field, crackle-related events to far-field crackle …

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Deep Learning To Predict Ocean Seabed Type And Source Parameters, David Franklin Van Komen Aug 2020

Deep Learning To Predict Ocean Seabed Type And Source Parameters, David Franklin Van Komen

Theses and Dissertations

In the ocean, light from the surface dissipates quickly leaving sound the only way to see at a distance. Different sediment types on the ocean floor and water properties like salinity, temperature, and ocean depth all change how sound travels across long distances. Hard sediment types, such as sand and bedrock, are highly reflective while softer sediment types, such as mud, are more absorptive and change the received sound upon arrival. Unfortunately, the vast majority of the ocean floor is not mapped and the expenses involved in creating such a map are far too great. Traditional signal processing methods in …

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Polarization Of Nonlinear Thomson Scattering From A High Intensity Laser Focus, Brittni Tasha Pratt Aug 2020

Polarization Of Nonlinear Thomson Scattering From A High Intensity Laser Focus, Brittni Tasha Pratt

Theses and Dissertations

Thomson scattering from free electrons in a high-intensity laser focus has been widely studied analytically, but not many measurements of this scattering have been made. We measure polarization-resolved nonlinear Thomson scattering from electrons in a high-intensity laser focus using a parabolic mirror. The weak scattering signal is distinguished from background noise using single-photon detectors and nanosecond time-resolution to distinguish a prompt scattering signal from noise photons. The azimuthal and longitudinal components of the fundamental, second, and third harmonics were measured. Our measurements reasonably match theoretical results, but also show some asymmetry in the emission patterns.

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Angular Dependence Of Nonlinear Thomson Scattering From Electrons In A High Intensity Laser Focus, Christoph Alexander Schulzke Aug 2020

Angular Dependence Of Nonlinear Thomson Scattering From Electrons In A High Intensity Laser Focus, Christoph Alexander Schulzke

Theses and Dissertations

The theory of nonlinear Thomson scattering is presented. A model for the scattered light is developed. The orthogonal polarizations of the second harmonic of the scattered light are examined. The predictions of the model are compared to measurements by our group in collaboration with the Extreme Light Laboratory at the University of Nebraska-Lincoln (UNL). The veracity of the theory and model are confirmed by comparison to the experimental data.

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Secondary Mathematics Teachers' Mindsets, Emily Ann Hales Kunz Aug 2020

Secondary Mathematics Teachers' Mindsets, Emily Ann Hales Kunz

Theses and Dissertations

Much research supports that student mindset influences how well students do in school and that teacher actions influence student mindset. Research has also shown that just because a teacher has a growth mindset, it does not imply that their students will also have a growth mindset. This research looks closer as to why a teacher's mindset does not correlate with their students' mindset by further examining teacher mindset and the connection between teacher mindset and teacher actions. In summary, teachers' mindsets do not directly influence student mindset for a few reasons: secondary mathematics teachers have different mindsets towards honors and …

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Structure Of Collisional Metamorphism, Soft-Sediment Deformation, And Low-Angle Normal Faulting In The Beaver Dam Mountains, Jacob Isaac Voorhees Aug 2020

Structure Of Collisional Metamorphism, Soft-Sediment Deformation, And Low-Angle Normal Faulting In The Beaver Dam Mountains, Jacob Isaac Voorhees

Theses and Dissertations

Precambrian metamorphic rocks in the Beaver Dam Mountains display asymmetric, isoclinal folds with consistent fold axes plunging to the NW. These folds are parasitic and have a recursive nature that occurs on wavelengths from centimeters to perhaps kilometers as part of a NW-SE striking shear zone. The vergence of the folds indicates oblique shearing with a transport direction plunging 29° to the south. This shear zone may be associated with the collision of Yavapai Province island arcs with Laurentia. Structurally overlying, and adjacent to the metamorphic rocks are allochthonous and attenuated Mississippian limestone blocks and other strata debated to be …

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Dynamics Of Interal Phosporus Cycling In A Highly Eutrophic, Shallow, Fresh Water Lake In Utah Lake State Park, Utah, Usa, Sheena Marie Smithson Aug 2020

Dynamics Of Interal Phosporus Cycling In A Highly Eutrophic, Shallow, Fresh Water Lake In Utah Lake State Park, Utah, Usa, Sheena Marie Smithson

Theses and Dissertations

Eutrophication is an increasing global concern as human effluent saturates lakes with an over abundance of nutrients. Phosphorus, generally being the limiting nutrient, is often the most impactful, allowing cyanobacteria populations to grow out of control leading to harmful blooms that can produce cyanotoxins, anoxic lake conditions, and mass fish kills. Utah Lake, a shallow highly eutrophic fresh water lake located in central Utah Valley, has experienced these harmful algal blooms for the last several years. The internal phosphorus cycle is a significant driver in Utah Lake's eutrophication, as the sediments act as both a sink and a source for …

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Internships Shape Students' Future Career, Maria F. Arrayan Aug 2020

Internships Shape Students' Future Career, Maria F. Arrayan

Marriott Student Review

Finding an internship has been more difficult than before due to COVID-19. For many, the search for an internship may be frustrating or pointless during this difficult time. Students need to empower themselves with the right tools to find an internship. Maria Fernanda Arrayan talks about the benefits of an internship and four ways to find one. Read this article to find motivation in your search for an internship and try a new way to find your next internship!

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Synthesis Of Bacterial Surface Glycans For Conjugate Vaccines, Teron D. Haynie Aug 2020

Synthesis Of Bacterial Surface Glycans For Conjugate Vaccines, Teron D. Haynie

Theses and Dissertations

Bacteria are coated with repeating units of oligosaccharides that exhibit remarkable diversity. Often, glycan units of three or even two sugars are sufficient to identify a species of bacteria. Such specificity makes bacterial surface glycans attractive vaccine targets. However, efforts to create effective vaccines against carbohydrates have been hampered by poor vaccine design as well as the human immune tendency to respond to glycan antigens with non-specific, T-cell independent mechanisms. As a result, carbohydrate vaccines have historically produced only adequate memory responses in healthy individuals and poor responses in the elderly or immunocompromised. To circumvent these issues, a novel conjugate …

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Building An Ins-1 Cdna Library For A Genome-Wide Crispr-Cas9 Screen, Idongesit Ekpo Aug 2020

Building An Ins-1 Cdna Library For A Genome-Wide Crispr-Cas9 Screen, Idongesit Ekpo

Undergraduate Honors Theses

By the year 2040, an estimated 642 million people are expected to have diabetes globally. Diabetes results from an elevation of metabolic stressors, such as glucotoxicity, lipotoxicity, oxidative stress and apoptosis. In type 2 diabetes, these stressful conditions contribute to the malfunction and loss of functional insulin-producing β-cells. Current treatment methods for diabetes include insulin therapy, islet transplant and anti-diabetes medication. These treatments are not curative and ignore other factors that contribute to the pathogenesis of diabetes beyond insulin resistance and islet β-cell failure. Previous research on β-cells has focused on ways to replace functional β-cell mass, trigger β-cell proliferation, …

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Breaking The Organic Mold: Introducing Copper Into The Influenza A Arena With Neutral And Divalent Complexes, Jonathan D. Lynch Aug 2020

Breaking The Organic Mold: Introducing Copper Into The Influenza A Arena With Neutral And Divalent Complexes, Jonathan D. Lynch

Theses and Dissertations

Influenza A (IVA) continues to pose a growing global threat even as current medications are becoming less effective. One of the main avenues of research into new anti-IVA drugs is its homotetrameric Matrix 2 proton channel (M2A), without which the virus would be unable to release its viral RNA into the host cell. The drug amantadine used to bind and block M2A until near-ubiquitous resistance formed as an M2A-S31N mutation, starting around 1995 and proceeding to 2005 when amantadine was disallowed for use as an anti-IVA drug. The standard organic structure currently being used for M2A inhibitor research comprises an …

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A Method For Reconstructing Historical Destructive Earthquakes Using Bayesian Inference, Hayden J. Ringer Aug 2020

A Method For Reconstructing Historical Destructive Earthquakes Using Bayesian Inference, Hayden J. Ringer

Theses and Dissertations

Seismic hazard analysis is concerned with estimating risk to human populations due to earthquakes and the other natural disasters that they cause. In many parts of the world, earthquake-generated tsunamis are especially dangerous. Assessing the risk for seismic disasters relies on historical data that indicate which fault zones are capable of supporting significant earthquakes. Due to the nature of geologic time scales, the era of seismological data collection with modern instruments has captured only a part of the Earth's seismic hot zones. However, non-instrumental records, such as anecdotal accounts in newspapers, personal journals, or oral tradition, provide limited information on …

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Discovery Of A Novel Regulatory Mechanism Of Tnk1 By 14-3-3 And Its Ubiquitin Association Domain Provides A Potential Therapeutic Targeting Opportunity In Cancer, Tsz Yin Chan Aug 2020

Discovery Of A Novel Regulatory Mechanism Of Tnk1 By 14-3-3 And Its Ubiquitin Association Domain Provides A Potential Therapeutic Targeting Opportunity In Cancer, Tsz Yin Chan

Theses and Dissertations

While a relatively limited number of known oncogenes underlie a large percentage of cancers, a variety of new genes have emerged as low-frequency cancer drivers. Each of these new oncogenes represents a frontier for targeted therapy. However, the discovery of low-frequency targetable oncogenic drivers is challenging. This study focuses on the poorly understood Tyrosine kinase non-receptor-1 (TNK1), which has been reported to have both oncogenic and tumor suppressive functions. TNK1 has been identified to promote cancer cells survival and promote chemoresistance in multiple independent studies. On the other hand, whole-body constitutive deletion of TNK1 in mice caused an increase in …

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Clarque: Chatbot Recognizing Ambiguity In The Conversation And Asking Clarifying Questions, Shreeya Himanshu Mody Jul 2020

Clarque: Chatbot Recognizing Ambiguity In The Conversation And Asking Clarifying Questions, Shreeya Himanshu Mody

Theses and Dissertations

Recognizing when we need more information and asking clarifying questions are integral to communication in our day to day life. It helps us complete our mental model of the world and eliminate confusion. Chatbots need this technique to meaningfully collaborate with humans. We have investigated a process to generate an automated system that mimics human communication behavior using knowledge graphs, weights, an ambiguity test, and a response generator. It can take input dialog text and based on the chatbot's knowledge about the world and the user it can decide if it has enough information or if it requires more. Based …

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Zipperotf: Automatic, Precise, And Simple Data Race Detection For Task Parallel Programs With Mutual Exclusion, S. Jacob Powell Jul 2020

Zipperotf: Automatic, Precise, And Simple Data Race Detection For Task Parallel Programs With Mutual Exclusion, S. Jacob Powell

Theses and Dissertations

Data race in parallel programs can be difficult to precisely detect, and doing so manually can often prove unsuccessful. Task parallel programming models can help reduce defects introduced by the programmer by restricting concurrent functionalities to fork-join operations. Typical data race detection algorithms compute the happens-before relation either by tracking the order that shared accesses happen via a vector clock counter, or by grouping events into sets that help classify which heap locations are accessed sequentially or in parallel. Access sets are simple and efficient to compute, and have been shown to have the potential to outperform vector clock approaches …

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