Joel Selway, Political Science 1. Evaluation of how well the academic objectives of the proposal were met The Dataset was completed and two papers were produced. One has been sent out for review and the other presented at an annual political science conference. 2. Evaluation of the mentoring environment The Mentoring Environment was organized well […]
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Parent Entrance and Adolescent Outcomes using Longitudinal Family Structure Data
Matthew Usevitch and Mikaela Dufur, Sociology Introduction The effects that a parent entrance, such as the marriage of a single parent, has on child outcomes are currently not well documented. Since literature suggests that children living in single-parent families tend to have worse educational outcomes on average than children living in married-parent families, a logical […]
Developing and Utilizing the VSFP Database: Atalanta and Girls’ Adventure Fiction
Isaac Robertson and Leslee Thorne-Murphy, English The original purpose of my project was two-fold: 1) to expand the Victorian Short Fiction Project, a peer-reviewed database compiled from Victorian periodical fiction housed in Brigham Young University’s special collections library; and 2) to utilize this database in order to perform a literary study of nineteenth-century colonial fiction. […]
Quantifying predictive value of biological data types in machine learning models of cancer outcome
Samantha Jensen, Stephen Piccolo, Biology Precision medicine is a growing movement toward utilizing molecular diagnostics to guide medical decisions. It is particularly useful when applied to cancer treatment, as knowing details about cancer stage, genetic pathology, and tumor type can inform life-saving decisions. Increasingly, physicians may use genetic, proteomic, epigenetic, and expression data to determine treatment […]
Japanese Grammar Tool and Database
John A. Dinkel, Steven Moody, East Asian Languages Creating a useable database required a lot more work than I originally expected. While we completed a major part of the project, the creation of the database, the coding and formatting of the tool was simply beyond the scale we could handle. However, in our attempts to code […]
Determining Commercial Viability of Battery via Visual Database
Sterling Baird and Dr. Robert Davis, Department of Physics and Astronomy Batteries have applications in medical, defense, communication, transportation, and a host of other technologies. In the last several years of conducting experimental energy storage research, I began noticing gaps between what literature research was reporting and the criteria industry uses to assess the commercial […]
Estimating Seasonal Onsets and Peaks of Bronchiolitis with Temporally Uncertain Data
Sierra Pugh and Dr. Matthew Heaton, Department of Statistics Introduction Bronchiolitis (an acute lower respiratory tract viral infection in infants) is the most common cause of infant hospitalizations in the United States. The only preventative intervention currently available is monthly injections of immunoprophylaxis. However, this treatment is expensive and needs to be administered simultaneously with […]
A User Friendly Tool to Allow Easy Access to Big Biological Data
PJ Tatlow and Faculty Mentor Stephen Piccolo, Department of Biology Over the course of the past year I have been able to put a lot of work into creating a tool for scientists, those with computational background and without, that provides a simple web interface for downloading data from large, publically available datasets. It allows […]
pVAAST Anallysis of Alzheimer’s Disease Sequencing Project Pedigree Data
Kristen Crofts and John S. K. Kauwe Brigham Young University, Biology December 31, 2016 pVAAST Analysis of Alzheimer’s Disease Sequencing Project Pedigree Data Introduction Alzheimer’s disease is a progressive brain disorder affecting more than 10 percent of Americans over the age of 65 (1). This disease destroys memory and thinking skills and is a leading […]
How Well Can Machine-learning Algorithms Predict Biomedical Outcomes Based on Gene-expression Data?
Anna Guyer and Stephen Piccolo, Department of Biology Introduction Biomedical data are increasing in size and complexity. To make sense of these data, biomedical researchers often use “machine-learning” algorithms, which are developed by the computer-science community. Our goal was to perform a systematic comparison of many of these algorithms across 100 data sets to identify […]
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