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Articles 291301 - 291330 of 716337
Full-Text Articles in Entire DC Network
Conditional Screening For Ultra-High Dimensional Covariates With Survival Outcomes, Hyokyoung Grace Hong, Jian Kang, Yi Li
Conditional Screening For Ultra-High Dimensional Covariates With Survival Outcomes, Hyokyoung Grace Hong, Jian Kang, Yi Li
The University of Michigan Department of Biostatistics Working Paper Series
Identifying important biomarkers that are predictive for cancer patients' prognosis is key in gaining better insights into the biological influences on the disease and has become a critical component of precision medicine. The emergence of large-scale biomedical survival studies, which typically involve excessive number of biomarkers, has brought high demand in designing efficient screening tools for selecting predictive biomarkers. The vast amount of biomarkers defies any existing variable selection methods via regularization. The recently developed variable screening methods, though powerful in many practical setting, fail to incorporate prior information on the importance of each biomarker and are less powerful in …
Geography Alum Joins Wdbr As Meteorologist In Louisville, Ohio University College Of Arts & Sciences
Geography Alum Joins Wdbr As Meteorologist In Louisville, Ohio University College Of Arts & Sciences
All Forum Articles
No abstract provided.
Remembering Dr. Arthur Bukowski Alum Who Taught Around The World, Ohio University College Of Arts & Sciences
Remembering Dr. Arthur Bukowski Alum Who Taught Around The World, Ohio University College Of Arts & Sciences
All Forum Articles
No abstract provided.
The Utah Statesman, March 24, 2016, Utah State University
The Utah Statesman, March 24, 2016, Utah State University
The Utah Statesman
Weekly student newspaper of Utah State University in Logan.
The Comment, March 24, 2016, Bridgewater State University
The Comment, March 24, 2016, Bridgewater State University
The Comment
No abstract provided.
Clustering Theory And Data Driven Health Care Strategies, Takayuki Iguchi
Clustering Theory And Data Driven Health Care Strategies, Takayuki Iguchi
Theses and Dissertations
DoD health care requires reform with growing costs causing concerns of decreased military capability. One proposed radical strategy to fix current health care delivery systems is to organize medical teams around patients with similar treatment requirements. This is a clustering problem; how do you partition the set of patients so that each group has similar treatment needs? We provide advances in clustering theory relevant to this new health care strategy. In particular, we create fast certifiably optimal k-means clustering using what is known as Probably Certifiably Correct (PCC) algorithms which achieves state-of-the-art performance under certain models. Inspired by the health …
Toward Automated Aerial Refueling: Relative Navigation With Structure From Motion, Kevin W. Colson
Toward Automated Aerial Refueling: Relative Navigation With Structure From Motion, Kevin W. Colson
Theses and Dissertations
The USAF's use of UAS has expanded from reconnaissance to hunter/killer missions. As the UAS mission further expands into aerial combat, better performance and larger payloads will have a negative correlation with range and loiter times. Additionally, the Air Force Future Operating Concept calls for \formations of uninhabited refueling aircraft...[that] enable refueling operations partway inside threat areas." However, a lack of accurate relative positioning information prevents the ability to safely maintain close formation flight and contact between a tanker and a UAS. The inclusion of cutting edge vision systems on present refueling platforms may provide the information necessary to support …
Satellite Ephemeris Correction Via Remote Site Observation For Star Tracker Navigation Performance Improvement, Jorge E. Diaz
Satellite Ephemeris Correction Via Remote Site Observation For Star Tracker Navigation Performance Improvement, Jorge E. Diaz
Theses and Dissertations
In order for celestial navigation observing satellites to provide accurate positioning estimates, precise ephemerides of the observed satellites are necessary. This work analyzed a method to correct for satellite ephemeris to be used in celestial navigation applications. This correction is the measured angle differences between the expected location of the satellite, which is given by propagating publicly available Two-Line Elements (TLE), and their observed angles from a precisely known reference site. Therefore, the angle difference can be attributed completely to satellite ephemeris error assuming instrument error was accounted for. The intent is to calculate this correction from the reference site …
Cross-Subject Continuous Analytic Workload Profiling Using Stochastic Discrete Event Simulation, Joseph J. Giametta
Cross-Subject Continuous Analytic Workload Profiling Using Stochastic Discrete Event Simulation, Joseph J. Giametta
Theses and Dissertations
Operator functional state (OFS) in remotely piloted aircraft (RPA) simulations is modeled using electroencephalograph (EEG) physiological data and continuous analytic workload profiles (CAWPs). A framework is proposed that provides solutions to the limitations that stem from lengthy training data collection and labeling techniques associated with generating CAWPs for multiple operators/trials. The framework focuses on the creation of scalable machine learning models using two generalization methods: 1) the stochastic generation of CAWPs and 2) the use of cross-subject physiological training data to calibrate machine learning models. Cross-subject workload models are used to infer OFS on new subjects, reducing the need to …
Statistic Whitelisting For Enterprise Network Incident Response, Nathan E. Grunzweig
Statistic Whitelisting For Enterprise Network Incident Response, Nathan E. Grunzweig
Theses and Dissertations
This research seeks to satisfy the need for the rapid evaluation of enterprise network hosts in order to identify items of significance through the introduction of a statistic whitelist based on the behavior of the processes on each host. By taking advantage of the repetition of processes and the resources they access, a whitelist can be generated using large quantities of host machines. For each process, the Modules and the TCP & UDP Connections are compared to identify which resources are most commonly accessed by each process. Results show 47% of processes receiving a whitelist score of 75% or greater …
Tunable Terahertz Metamaterials With Germanium Telluride Components, Christopher H. Kodama
Tunable Terahertz Metamaterials With Germanium Telluride Components, Christopher H. Kodama
Theses and Dissertations
Terahertz (THz) technology is an emerging field with many exciting applications. THz waves can be used to locate explosives and illicit drugs in security applications, or DNA and other molecule resonances in medical applications. THz frequencies represent the next level of modern, high-speed computing, but they also can be used for covert battlefield communications links. Metamaterials are an integral part of THz technology because they can be used to create exotic material properties—permittivities and permeabilities—in a part of the frequency spectrum that is otherwise rather empty and passive. This work aims to acquire a fuller understanding of THz metamaterials in …
Whitelisting System State In Windows Forensic Memory Visualizations, Joshua A. Lapso
Whitelisting System State In Windows Forensic Memory Visualizations, Joshua A. Lapso
Theses and Dissertations
Examiners in the field of digital forensics regularly encounter enormous amounts of data and must identify the few artifacts of evidentiary value. The most pressing challenge these examiners face is manual reconstruction of complex datasets with both hierarchical and associative relationships. The complexity of this data requires significant knowledge, training, and experience to correctly and efficiently examine. Current methods provide primarily text-based representations or low-level visualizations, but levee the task of maintaining global context of system state on the examiner. This research presents a visualization tool that improves analysis methods through simultaneous representation of the hierarchical and associative relationships and …
Visual-Ins Using A Human Operator And Converted Measurements, Turner J. Montgomery
Visual-Ins Using A Human Operator And Converted Measurements, Turner J. Montgomery
Theses and Dissertations
A method human operated INS aiding is explored in which the pilot identifies and tracks a ground feature of unknown position over a short measurement epoch using an E/O sensor. One then refers to Visual-INS. In contrast to current research trends, a human operator is entrusted with visually tracking the ground feature. In addition, a less conventional measurement linearization technique is applied to generate “converted” measurements. A linear regression algorithm is then applied to the converted measurements providing an estimate of the INS horizontal velocity error and accelerometer biases. At the completion of the measurement epoch, the INS is corrected …
Analysis Of Software Design Patterns In Human Cognitive Performance Experiments, Alexander C. Roosma
Analysis Of Software Design Patterns In Human Cognitive Performance Experiments, Alexander C. Roosma
Theses and Dissertations
As Air Force operations continue to move toward the use of more autonomous systems and more human-machine teaming in general, there is a corresponding need to swiftly evaluate systems with these capabilities. We support this development through software design improvements of the execution of human cognitive performance experiments. This thesis sought to answer the following two research questions addressing the core functionality that these experiments rely on for execution and analysis: 1) What data infrastructure software requirements are necessary to execute the experimental design of human cognitive performance experiments? 2) How effectively does a central data mediator design pattern meet …
Field-Based Phase Retrieval Using Under-Sampled Data, Tatsuki L. Watts
Field-Based Phase Retrieval Using Under-Sampled Data, Tatsuki L. Watts
Theses and Dissertations
A phase retrieval algorithm designed for use with under-sampled astronomical data is developed in this thesis. Blind-deconvolution, Gerchberg Saxton (GS), and a field-based compass search are combined into an algorithm capable of recovering Zernike coefficients 4 through 11 from single frames of noisy, under-sampled data without the need to unwrap the recovered phase. The performance of the algorithm in data under-sampled by a factor of 2 is compared the performance of the algorithm on Nyquist-sampled data. In simulation trials, the magnitudes of all 8 estimated Zernike coefficients converged to within half a wave of the true values for 98% of …
Deception In Game Theory: A Survey And Multiobjective Model, Austin L. Davis
Deception In Game Theory: A Survey And Multiobjective Model, Austin L. Davis
Theses and Dissertations
Game theory is the study of mathematical models of conflict. It provides tools for analyzing dynamic interactions between multiple agents and (in some cases) across multiple interactions. This thesis contains two scholarly articles. The first article is a survey of game-theoretic models of deception. The survey describes the ways researchers use game theory to measure the practicality of deception, model the mechanisms for performing deception, analyze the outcomes of deception, and respond to, or mitigate the effects of deception. The survey highlights several gaps in the literature. One important gap concerns the benefit-cost-risk trade-off made during deception planning. To address …
Optimizing Forecasting Methods For Ustranscom Railcar Demands, James M. Park
Optimizing Forecasting Methods For Ustranscom Railcar Demands, James M. Park
Theses and Dissertations
The United States military heavily relies on rail freight operations to meet many of its logistical needs during both peacetime and wartime efforts. As the head organization responsible for managing and overseeing all modes of military transportation, United States Transportation Command depends on timely accurate railcar demand forecasts to drive critical decisions on distribution and placement of railcar assets. However, the intermittent nature of railcar demands based on location and commodity make it a challenging task for forecasters. Furthermore, these “lumpy” demands often come without any obvious trends or seasonality. This study explores the utility of both traditional forecasting methods …
Bulletin, Dmacc Marketing
Effects Of Meteorological Conditions On Sulfur Dioxide Air Pollution In The North China Plain During Winter Of 2006–2015, Chase C. Calkins
Effects Of Meteorological Conditions On Sulfur Dioxide Air Pollution In The North China Plain During Winter Of 2006–2015, Chase C. Calkins
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
The last decade has seen frequent occurrences of severe air pollution episodes of high concentration in SO2 during winters in the North China Plain (NCP). Using satellite data from the Ozone Monitoring Instrument (OMI), chemistry transport model (GEOS-Chem) simulations, and National Center for Environmental Predication (NCEP) meteorological reanalyzes, this study examines meteorological and synoptic conditions associated with these air pollution episodes during winters of 2006-2015. OMI-based data suggest a large decrease (~30% in area average) of emission since 2010. Statistical analyzes show that meteorological conditions associated with the top 10% of OMI-based high days are found in average to …
Washington Townhomes, Llc; Homes By Harmony, Inc.; Cotton Meadows, Llc; Salisbury Development Llc; Southern Ut Home Builders Assn.; Ivory Southern, Llc; Perry Homes Utah; Henry Walker Construction Of Southern Utah, Llc V. Washington Counry Water Conservancy District : Appellant's Reply Brief
Utah Supreme Court Briefs (1965 –)
Appeal from a Decision of the Fifth Judicial District Court, Washington County, Judge Jeffrey C. Wilcox
Gut Microbial Metabolite Tmao Enhances Platelet Hyperreactivity And Thrombosis Risk, Weifei Zhu, Jill C. Gregory, Elin Org, Jennifer A. Buffa, Nilaksh Gupta, Zeneng Wang, Lin Li, Xiaoming Fu, Yuping Wu, Margarete Mehrabian, R. Balfour Sartor, Thomas M. Mcintyre, Roy L. Silverstein, W.H. Wilson Tang, Joseph A. Didonato, J. Mark Brown, Aldons J. Lusis, Stanley L. Hazen
Gut Microbial Metabolite Tmao Enhances Platelet Hyperreactivity And Thrombosis Risk, Weifei Zhu, Jill C. Gregory, Elin Org, Jennifer A. Buffa, Nilaksh Gupta, Zeneng Wang, Lin Li, Xiaoming Fu, Yuping Wu, Margarete Mehrabian, R. Balfour Sartor, Thomas M. Mcintyre, Roy L. Silverstein, W.H. Wilson Tang, Joseph A. Didonato, J. Mark Brown, Aldons J. Lusis, Stanley L. Hazen
Mathematics and Statistics Faculty Publications
Normal platelet function is critical to blood hemostasis and maintenance of a closed circulatory system. Heightened platelet reactivity, however, is associated with cardiometabolic diseases and enhanced potential for thrombotic events. We now show gut microbes, through generation of trimethylamine N-oxide (TMAO), directly contribute to platelet hyperreactivity and enhanced thrombosis potential. Plasma TMAO levels in subjects (n > 4,000) independently predicted incident (3 years) thrombosis (heart attack, stroke) risk. Direct exposure of platelets to TMAO enhanced sub-maximal stimulus-dependent platelet activation from multiple agonists through augmented Ca2+ release from intracellular stores. Animal model studies employing dietary choline or TMAO, germ-free mice, and microbial …
Predicting Cost Growth Using Programs Reviews And Milestones For Dod Aircraft, Scott J. Kozlak
Predicting Cost Growth Using Programs Reviews And Milestones For Dod Aircraft, Scott J. Kozlak
Theses and Dissertations
Past research shows predicting cost growth is an important topic with DoD systems. Researchers have attempted to predict total program cost growth as well as identify predictors of program cost growth. Our research addresses this through examining cost growth at reviews and milestones along an aircrafts schedule. We assess cost growth factors at four major reviews, Critical Design Review, First Flight, Development Test and Evaluation End, and Initial Operating Capability. The first portion of the analysis focuses on identifying cost growth factors and percent of total cost growth at the four program reviews. The second portion identifies predictors of cost …
Diagnosing Autism Spectrum Disorder Through Brain Functional Magnetic Resonance Imaging, Kyle A. Palko
Diagnosing Autism Spectrum Disorder Through Brain Functional Magnetic Resonance Imaging, Kyle A. Palko
Theses and Dissertations
Autism spectrum disorder (ASD) is a neurodevelopmental condition that can be debilitating to social functioning. Previous functional Magnetic Resonance Imaging (fMRI) classification studies have included only small subject sample sizes (n 50) and have seen high classification accuracy. The recent release of the Autism Brain Imaging Data Exchange (ABIDE) provides fMRI data for over 1,100 subjects. In our research, we derive a subject's functional network connectivity (FNC) from their fMRI data and develop a regularized logistic classifier to determine whether a subject has autism. We obtained up to 65% classification accuracy, similar to other studies using the ABIDE dataset, suggesting …
Living Out Faith: Reflections On Motivation For Academic Achievement And Career Choice, Felicia D. Richardson-Mcgee
Living Out Faith: Reflections On Motivation For Academic Achievement And Career Choice, Felicia D. Richardson-Mcgee
College of Education Theses and Dissertations
It has often been said that conversations concerning religion, sex and politics should be avoided in most, if not all social settings. In general, it was believed that discussions on these topics could lead to very heated and argumentative debates as the participants openly expressed their views on these subjects. Increasingly, however, religion has become a popular discussion topic in many areas, such as politics, health and medicine, and even the business world. This is likely because religion, for many, is an important part of daily life. It shapes how individuals see themselves and others in the world and may …
Developing Early Numeracy And Early Literacy Skills In Preschool Children Through A Shared Parent/Child Book Reading Intervention: A Multiple-Baseline Single Case Design Study, Christina Lauren Lindahl
Developing Early Numeracy And Early Literacy Skills In Preschool Children Through A Shared Parent/Child Book Reading Intervention: A Multiple-Baseline Single Case Design Study, Christina Lauren Lindahl
USF Tampa Graduate Theses and Dissertations
The present study examined the effectiveness of a shared storybook reading intervention in increasing children’s early numeracy and early literacy skills through a multiple baseline single case design. Four parent-child dyads were included in the study, and children’s early numeracy and early literacy skills were measured using the eNumeracy Early Math Assessments and the Preschool Early Literacy Indicators, respectively. The study also measured mathematical dialogue to determine if an increase in children’s early numeracy skills is due to the intervention and not other confounding variables. Finally, the study measured intervention integrity, and parent ratings of social validity. Results of the …
Investigating The Determinants Of Recycling Behavior In Youth By Using Theory Of Planned Behavior., Tejaswini Gadiraju
Investigating The Determinants Of Recycling Behavior In Youth By Using Theory Of Planned Behavior., Tejaswini Gadiraju
USF Tampa Graduate Theses and Dissertations
The aim of this study is to understand the determinants that influence the youth recycling behavior intention. In other words, this study wants to know the motivations and barriers behind university students’ recycling behavior. The Theory of Planned Behavior (TPB), which provides a theoretical framework for systematically identifying the determinants of recycling behavior, is the basis for this study. Along with the TPB variables, additional predictor variables (moral norm, past experience, knowledge of how and what to recycle, knowledge of consequences, and inconvenience) that can influence behavior intentions were tested in the study. Online survey was used to collect the …
Conversion Of Landfill Gas To Liquid Hydrocarbon Fuels: Design And Feasibility Study, Ryan Alexander Kent
Conversion Of Landfill Gas To Liquid Hydrocarbon Fuels: Design And Feasibility Study, Ryan Alexander Kent
USF Tampa Graduate Theses and Dissertations
This paper will discuss the conversion of gas produced from biomass into liquid fuel through the combination of naturally occurring processes, which occur in landfills and anaerobic digesters, and a gas-to-liquids (GTL) facility. Landfills and anaerobic digesters produce gases (LFG) that can be converted into syngas via a Tri-reforming process and then synthesized into man-made hydrocarbon mixtures using Fischer-Tropsch synthesis. Further processing allows for the separation into liquid hydrocarbon fuels such as diesel and gasoline, as well as other middle distillate fuels. Conversion of landfill gas into liquid fuels increases their energy density, ease of storage, and open market potential …
Hydrogen Effects On X80 Steel Mechanical Properties Measured By Tensile And Impact Testing, Xuan Li
Hydrogen Effects On X80 Steel Mechanical Properties Measured By Tensile And Impact Testing, Xuan Li
USF Tampa Graduate Theses and Dissertations
The effect of hydrogen charging current density and tensile strain rate on the mechanical properties of X80 pipeline steel were investigated by slow strain rate test (SSRT), Charpy impact test, and scanning electron microscopy (SEM) in this thesis. The results show that both the ultimate tensile strength and elongation to failure of X80 steel were deteriorated significantly after charging with hydrogen. With a strain rate of 5 x 10-5 s-1, the relative tensile strength and plasticity loss of X80 steel had no significant change within the range of assumed hydrogen partial pressures at room temperature. At room …
Generalized Phase Retrieval: Isometries In Vector Spaces, Josiah Park
Generalized Phase Retrieval: Isometries In Vector Spaces, Josiah Park
USF Tampa Graduate Theses and Dissertations
In this thesis we generalize the problem of phase retrieval of vector to that of multi-vector. The identification of the multi-vector is done up to some special classes of isometries in the space. We give some upper and lower estimates on the minimal number of multi-linear operators needed for the retrieval. The results are preliminary and far from sharp.
Discovery Of An Ultra-Diffuse Galaxy In The Pisces-Perseus Supercluster, David Martínez-Delgado, Ronald Läsker, Margarita Sharina, Elisa Toloba, Jürgen Fliri, Rachael Beaton, David Valls-Gabaud, Igor Karachentsev, Taylor Chonis, Eva Grebel, Duncan Forbes, Aaron Romanowsky, J. Gallego-Laborda, Karel Teuwen, M. Gómez-Flechoso, Jie Wang, Puragra Guhathakurta, Serafim Kaisin, Nhung Ho
Discovery Of An Ultra-Diffuse Galaxy In The Pisces-Perseus Supercluster, David Martínez-Delgado, Ronald Läsker, Margarita Sharina, Elisa Toloba, Jürgen Fliri, Rachael Beaton, David Valls-Gabaud, Igor Karachentsev, Taylor Chonis, Eva Grebel, Duncan Forbes, Aaron Romanowsky, J. Gallego-Laborda, Karel Teuwen, M. Gómez-Flechoso, Jie Wang, Puragra Guhathakurta, Serafim Kaisin, Nhung Ho
Faculty Publications
We report the discovery of DGSAT I, an ultra-diffuse, quenched galaxy located 10fdg4 in projection from the Andromeda galaxy (M31). This low-surface brightness galaxy (μV = 24.8 mag arcsec−2), found with a small amateur telescope, appears unresolved in sub-arcsecond archival Subaru/Suprime-Cam images, and hence has been missed by optical surveys relying on resolved star counts, in spite of its relatively large effective radius (Re(V) = 12'') and proximity (15') to the well-known dwarf spheroidal galaxy And II. Its red color (V − I = 1.0), shallow Sérsic index (nV = 0.68), and the absence of detectable Hα emission are typical …