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Inclusion Of Women In Computer Science, Naomi Johnson, Dr. Kevin Seppi Jun 2019

Inclusion Of Women In Computer Science, Naomi Johnson, Dr. Kevin Seppi

Journal of Undergraduate Research

Since the 1980’s, the percentage of computer science degrees awarded to women in the United States has fallen dramatically. There are growing numbers of men earning bachelor’s degrees in CS, and the numbers of women are increasing very slowly. For decades, researchers have been studying recruitment and retention of women and other minorities in CS, yet it is still not apparent what departments, professors, or students can do in order to get the numbers of women earning degrees in CS up again.


Validation Of Quantitative Regional Atrophy Dementia Classification In A Large Clinical Mri Sample, Samantha Sanders, Christophe Girdaud-Carrier Apr 2015

Validation Of Quantitative Regional Atrophy Dementia Classification In A Large Clinical Mri Sample, Samantha Sanders, Christophe Girdaud-Carrier

Journal of Undergraduate Research

Introduction Psychiatrists at the University of Utah developed a regional quantitative brain atrophy map that they hoped to be able to use to find biomarkers for diagnosis of probable Alzheimer’s disease (AD) versus frontotemporal dementia (FTD). This brain atrophy map divides the brain into 20 regions and when a brain scan is taken, they measure the brain density, or atrophy, of each of the 20 regions. We used machine learning techniques with a set of mapped fMRI brain scans to find biomarkers corresponding to the map as well as developing a predictive model for the diagnosis of AD and FTD.


Extraction Of Genealogical Information From The Internet, Troy Walker, Dr. David Embley Jan 2014

Extraction Of Genealogical Information From The Internet, Troy Walker, Dr. David Embley

Journal of Undergraduate Research

Data extraction is a rapidly growing area of computer science. It focuses on the extraction of pertinent data from large stores of knowledge such as databases or the internet. Data extraction allows us to use existing stores of data in new ways. One application for data extraction is genealogical research. Various commercial and non-profit groups make genealogical data available on line. In addition to these, hundreds of personal web pages contain personal family trees. I wanted to enable the extraction of information from these sources by computer. BYU’s Data Extraction Group (DEG) has developed tools for extracting data from web …