Daniel Kay Application Abstract The impact of insomnia on brain regions/networks during sleep may represent mechanisms through which insomnia contributes to the risk for mood disorders. As a first step toward understanding the risk relationship linking insomnia to mood disorders, this study will utilize functional magnetic resonance imaging (fMRI) with multimodal techniques to investigate alterations […]
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Funding American Democracy
Michael Barber Academic Objectives The academic objectives of the project were largely met. Students participated in a number of research projects from beginning to end. Two students were included as coauthors on papers that were eventually published in academic journals. Other students participated throughout the process as research assistants. They collected data from archival sources, […]
Improving High School Students’ Workforce Literacy through Collaborative, Online Alternative Reality Games
Jon Balzotti, Assistant Professor of English Evaluation of Academic Objectives This project analyzed student engagement in a high school setting using digital learning environments based on a semi-realistic workplace simulation. The research team explored the challenges of high school student engagement in both traditional and digital learning environments. Data from student surveys suggest that traditional role-play […]
A Combined Computational/Experimental Approach to Stabilize Proteins with Unnatural Amino Acid Modifications
Joshua Wilkerson and Dr. Thomas Knotts, Chemical Engineering Introduction Proteins are versatile biological molecules that catalyze chemical reactions, provide cellular structure, and transport materials throughout the body. Proteins have been adapted for use in a wide variety of industries including food processing, medical diagnostics, and therapeutics. However, proteins must often be modified to enhance their […]
Noise Threshold and Normalization by Contrast Parameter for Atomization during Droplet Impingement
Alexander White and Julie Crockett, Mechanical Engineering The purpose of this report is to remind the reader of goals initially set in conjunction with the original ORCA Grant project proposal in October 2017, to discuss logistical difficulties in carrying out the original project and subsequent adjustments in scope and topic of work, to represent efforts […]
Evaluation of an EEG Task for Detecting Latent Infections
Ryan Weels, Savanah Bishun and Bruce Brown, Psychology Introduction Ultimately our goal is to develop methods for diagnosing neuropsychiatric illnesses through measurement and analysis of the electrophysiological stream of consciousness. In this project we test how well EEG adaptations of the Sternberg (1966) memory search task and the n-back cognitive task can discriminate between individuals […]
Neurosecurity: Comprehending Security Messages
Zachary Vance and Bonnie Anderson, Information Systems The comprehension of security messages can be a difficult task to decipher, as comprehension works through a series of stages. The four major steps in comprehension are attention, semantics, syntax, and pragmatics, as outlined by figure 1 below. Through the use of eye-tracking, we were able to focus […]
The Effects of Caffeine on Visual Attention in Caffeine-naïve Participants
Eva Tveten and Steven Luke, Psychology Introduction Controversy exists concerning the effects of caffeine on cognitive function. One of the greatest challenges in resolving this controversy stems from the fact that caffeine is the most widely used drug in the United States, consumed daily by a majority of the population. The frequent and widespread use […]
Muscle Activation via MRI: Comparison of Techniques
Logan Thorneloe and Neal Bangerter, Electrical and Computer Engineering Introduction Muscle functional magnetic resonance imaging (mfMRI) is a proven concept to non-invasively identify muscle activation1. Noninvasively identifying muscle activation can be used to diagnose metabolic muscle disease, identify and pinpoint muscular dysfunction, observe muscle deterioration in aging individuals, and help researchers better understand the biological […]
Open-source Consistency Evaluation for Chinese Word Segmentation
Blake Smith and Robert Reynolds, Digital Humanities Chinese in its written form, whether typed or penned, does not separate its characters by spaces. Imagine if this were the case with English, and a sign for a job fair were to display “opportunityisnowhere.” Regardless of the intent being to announce that “opportunity is now here,” the […]
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