Browsing by Title
Now showing items 1375-1394 of 5925
-
D - Disaster
(2017) -
D.I.Y. Health: How Emerging Technology Empowers People to Prevent Future Health Issues and Hospital Interior Spaces
(2017)According to insurance and risk management firm Acrisure, there are more than 40,000 health-related software apps for smartphones with currently only 0.01% of the world’s population using them. This demonstrates an untapped ... -
D.M. Rice
(2018-04-25)D.M. Rice is a nonbinary writer from Dallas, TX with interests including psychoanalysis, ancient religions, and a nice cup of tea. DM has recently completed a short novel, We Three Kings, is negotiating a contract for a ... -
Dallas Saylor
(2016-10-12)Dallas Saylor just finished his BA in English and Mathematics at Messiah College in Mechanicsburg, PA, and has now returned not only to the south, where he lived until high school, but also to his namesake state, where he ... -
Daptomycin versus Vancomycin for Empiric Treatment of Methicillin-Resistant S. aureus among Hospitalized Patients: An Institutional Cost-Breakpoint Analysis
(May 2013)Background: Bacteremia caused by methicillin-resistant Staphylococcus aureus is associated with increased hospitalization days, costs, and mortality. Daptomycin was shown to be noninferior to vancomycin in a phase III ... -
Data Compression and Machine Learning in the Analysis of the Entropy of Photodissociation in Organic Donor-Acceptor Interfaces
(2018)Organic photovoltaics have become increasingly relevant in recent years, resulting in a growing demand for theoretical models that can accurately approximate the behavior of electrons in organic donor-acceptor inter- faces. ... -
Data Driven Approaches for Water Level Prediction
(2019-08)Floods are a hazardous disaster which threaten the United States and its territories as they affect millions of people every year. In this context, having suitable approaches for forecasting flooding will benefit people ... -
Data Driven Approaches to Model Building: Applications to Energy Industries
(2016-12)George Box’s famous quote “All models are wrong, but some are useful” is now widely known. Mathematical models can be built based on a combination of first principles and available data. The focus of this work is on the ... -
Data Mining A PeopleSoft Database To Assist In Developing Student Retention Interventions
(2016-12)Per a Bellwether Education Partners study (Aldeman, 2015, p. 8), "As of 2013, there were 29.1 million college dropouts versus 24.5 million Americans who dropped out with less than a high school diploma. In pure, raw numbers, ... -
Data mining, visualizing, and analyzing faculty thematic relationships for research support and collection analysis
(2017)This project developed analytical tools to improve collection development and enhance research support. Analyzing faculty publications across campus involves developing similarity analysis, topic generating algorithms, and ... -
Data Quality Analysis of the Leica SPL100 Airborne Single Photon Lidar Sensor
(2019-08)Recently, Geiger-mode and single photon lidar sensors have emerged on the commercial market, advertising greater collection efficiency than traditional linear mode lidar systems. Non-linear photon detection is a new ... -
Data Structure and Management Summer Internship at the Smithsonian Gardens 2017
(2017)I am minoring in Business Administration, and the Gardens needed an Administrative Intern. After the infamous Women’s March in D.C., many of the exhibits were damaged/ruined. The Gardens were and are still collecting ... -
Data visualization: New opportunities for outreach in the social sciences.
(2015)This presentation showcases several examples of using data visualization for outreach. -
Data visualization: Transforming research support
(2016)This presentation showcases how data visualization services can transform research support, from solely providing access to data, to actively engaging researchers with data. We will highlight Tableau, ESRI desktop and ... -
Data-Driven Parameter Selection in Radiation Therapy Treatment Planning
(2017)Intensity-modulated radiation therapy (IMRT) is one of the most common therapies for prostate cancer. IMRT’s goal is to kill the tumor while sparing nearby healthy organs (bladder, rectum and femoral heads). Multiple ... -
Data-driven Techniques For Estimation And Stochastic Reduction Of Multiscale Systems
(2012-12)Parametric estimation of stochastic processes is one of the most widely used techniques for obtaining effective models, given a discrete dataset. Often, the experimental or observational datasets are not explicitly generated ... -
Data-Driven, Label Consistent, Dictionary Learning Methods for Analysis of Biological Datasets
(August 201)The goal of this thesis is to develop a data-driven, label consistent, and dictionary learning based framework that can be applied on a variety of signal analysis problems. Current methods based on analytical models do not ... -
Data-Morphic Analyzing Approach for Understanding a Tennis Racket: Comparison of Tennis Rackets in UH Tennis Club
(2017)The shapes in the beginner group are relatively moderate than other groups. Some similar shapes are found in the intermediate group while extremely sharp shapes appear in the advanced group. I believe the reason that ... -
Database of redox potentials of porphyrins and related macrocycles
(2012-05)Thermodynamic half wave potentials for oxidation and reduction of porphyrins and related macrocycles which have appeared in the literature from 1997 to 2011 are collected and categorized as a function of compound structure ... -
Dataset Modification To Improve Machine Learning Algorithm Performance And Speed
(2014-05)We propose two pre-processing steps to classification that apply convex hull-based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a ...