101-110 of 248 results
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Using Machine Learning to Improve Forecasting of Deep Convection
PI Christopher Hennon
CO-I Ronny Schroeder
CO-I Curtis James
CO-I Abd AlRahman AlMomani
We are working to train a neural network to forecast the initiation time, location, and intensity of thunderstorms. These results will support operations during the proposed CONVECT project and could ultimately aid operational forecasting during the North American Monsoon (NAM).
Read moreCategories: Faculty-Staff
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Data-enabled Science & Engineering Education (IUSE 1626602, 2016-2020),
PI Matthew Ikle
CO-I Hong Liu
CO-I Michael Wolyniak
CO-I Raphael Isokpehi
This project will develop a virtual department across four partner campuses to provide computer science education to students at campuses that are individually too small to support this kind of department. The new department will focus on the analysis of "big data" - large sets of computational and observational data - that are becoming increasingly prevalent in STEM. Cyber-learning techniques such as recorded lectures, archived materials, blog participation, and active learning approaches will be combined to offer a set of classes in big data science spanning meteorology, environmental science, biology and chemistry. By combining students from different campuses into the same courses, problems with minimal resources and limited potential enrollments on the individual campuses can be overcome. In particular, the project will focus on developing courses in biology and earth science, areas where students are not attracted by traditional computer science classes.
Read moreCategories: Faculty-Staff
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The Covariant Stone-von Neumann Theorem for Actions of Abelian Groups on C*-algebras of Compact Operators
PI Lara Ismert
This is a collaborative work with Leonard Huang, Ph.D. at the University of Nevada, Reno.
Read moreCategories: Faculty-Staff
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CONVECT (Convective Organization aNd Venting Experiment in Complex Terrain)
PI Curtis James
CO-I Ronny Schroeder
CONVECT is a major meteorological field research project being proposed for July - August 2025 in north-central Arizona. The project is aimed at improving our understanding and ability to predict the convective development and organization of boundary layer thermals, thunderstorms, and mesoscale convective systems during the North American Monsoon (NAM).
Read moreCategories: Faculty-Staff
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Peer Review within a Learning Management System (LMS) in a Face-to-Face (F2F) Course
PI Wendi Kappers
The purpose of this research study is to investigate student collaboration and the effectiveness of peer review on the part of the reviewer to increase understanding of information literacy. Focus upon the Learning Management System (LMS) to support automation of peer review activities is a secondary purpose.
Read moreCategories: Faculty-Staff
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Cyber hygiene and cyber insurance current practice research
PI Wendi Kappers
CO-I Aaron Glassman
CO-I Michael Wills
Identify the market uptake and applicability of cyber hygiene models, particularly within small to medium enterprises, and relate this to current market practices in the use of cyber insurance policies and mechanisms as part of risk mitigation and management.
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An Investigation of Factors that Influence Passengers’ Intentions to Use Biometric Technologies at Airports
PI Kabir Kasim
CO-I Scott Winter
This research investigated the factors that influence passengers’ intentions to choose the use of biometrics over other methods of identification. The current study utilized a quantitative research method via an online survey of 689 persons from Amazon ® Mechanical Turk ® (MTurk) and employed structural equation modeling (SEM) techniques for data analysis. The study utilized the theory of planned behavior (TPB) as the grounded theory, while perceived usefulness and perceived ease of use were included as additional factors that could influence individuals’ intentions to use new technology.
Read moreCategories: Graduate
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Meta-Analyses of the Effects of Standardized Handoff Protocols on Patient, Provider, and Organizational Outcomes
PI Joseph Keebler
CO-I Elizabeth Lazzara
This meta-analysis attempts to understand the benefits of a structured communication process on patient, provider, and organizational outcomes. Studies have found that one of the most crucial points during a patient’s hospital stay is the transition of care between one or more providers, often referred to as a patient handoff. These brief interactions between providers are often especially vulnerable to communication breakdowns due to interruptions, omission of pertinent information by the sender or receiver of the information. To illustrate, upwards of 80% of severe, preventable medical errors have been attributed to miscommunication during handoffs. In other words, failures in communication during handoff are potentially responsible for the loss of hundreds of thousands of lives every year in the United States.
Read moreCategories: Faculty-Staff
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Integrated Structural Health Sensors for Inflatable Space Habitats
PI Dae Won Kim
PI Sirish Namilae
Under this research project we will develop an innovative structural health monitoring system for inflatable space habitat structures by integrating nanocomposite piezoresistive sensors
Read moreCategories: Faculty-Staff
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In Service Performance of Pipe to Structure Connections
PI Payal Kotecha
Dr. Kotecha was awarded a $200,000 from Florida Department of Transportation for this research.
Read moreCategories: Faculty-Staff
101-110 of 248 results