Earlham College, Richmond, IN - Earlham Computer Science ...
Earlham College, Richmond, IN - Earlham Computer Science ...
Earlham College, Richmond, IN - Earlham Computer Science ...
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URPC Proceedings<br />
Refining the IVBSS<br />
Matthew Jackson, Dillan Funkhouser † , Mary Lynn Buonarosa †<br />
UMTRI (University of Michigan Transportation Research Institute)<br />
mcjacks08@earlham.edu<br />
The IVBSS (Integrated Vehicle Based Safety Systems) is a crash warning system capable<br />
of forward collision, lateral drift, lane-change merge, and curve speed warnings. Cars<br />
equipped with this system as well as some audio and video recording equipment was given<br />
to just over 100 subjects. The goal of this study was to evaluate the effect of the system<br />
on the subjects driving, to determine the how frequently drivers performed secondary tasks<br />
and if drivers tended to perform secondary tasks during low or high risk situations. The<br />
video and audio data was sorted and coded in order to achieve these goals.<br />
Refining the Annotations of Malaria Genomes<br />
Emmalee Adelman, Alisha Harms, Janell Jensen, Chris Meserve, Martin<br />
Tinkerhess, William Vincent, Xander Rowland, Alfred Simkin, Lindsey<br />
Howlett,Gaya Hettiarachchi, Doug Armour, Caroline Hackett, David Courtney,<br />
Doug Hardesty, and Peter L. Blair †<br />
Biology Department<br />
<strong>Earlham</strong> <strong>College</strong><br />
<strong>Richmond</strong>, Indiana<br />
blairpe@earlham.edu<br />
Malaria remains a global scourge to human life and existence and is responsible for<br />
up to 500 million cases and 3 million deaths annually. Therefore the need to establish<br />
and design novel malaria drug and vaccine strategies is crucial yet remains challenged, in<br />
part, due to the current status of malaria gene annotations. While the human malaria (P.<br />
falciparum) genome deserves the majority of attention, the accuracy of the rodent model (P.<br />
yoelii) genome is imperative for the traditional pipeline of drug/vaccine development and<br />
validity studies. Our research utilizes published large-scale datasets, notably Expressed<br />
Sequence Tags (ESTs), comparative genomics, and bioinformatic approaches to resolve<br />
and correct the current P. yoelii gene annotations. To date our research group has examined<br />
1585 genes, 20.2<br />
URPC-4