William P. Smith

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To simulate long time and length scale processes involving DNA it is necessary to use a coarse-grained description. Here we provide an overview of different approaches to such coarse-graining, focussing on those at the nucleotide level that allow the self-assembly processes associated with DNA nanotechnology to be studied. OxDNA, our recently-developed(More)
There are an estimated 60,000 new cases of ductal carcinoma in situ (DCIS) each year. A lack of understanding in DCIS pathobiology has led to overtreatment of more than half of patients. We profiled the temporal molecular changes during DCIS transition to invasive ductal carcinoma (IDC) using in vivo DCIS progression models. These studies identified B cell(More)
While streaming data have become increasingly more popular in business and research communities, semantic models and processing software for streaming data have not kept pace. Traditional semantic solutions have not addressed transient data streams. Semantic web languages (e.g., RDF, OWL) have typically addressed static data settings and linked data(More)
Reasoning and querying over data streams rely on the ability to deliver a sequence of stream snapshots to the processing algorithms. These snapshots are typically provided using windows as views into streams and associated window management strategies. In this work, we explore a general notion of semantic importance that can be used for window management of(More)
BACKGROUND High prevalence of physical inactivity contributes to adverse health outcomes. Active transportation (cycling or walking) is associated with better health outcomes, and bike-sharing programs can help communities increase use of active transportation. COMMUNITY CONTEXT The Minneapolis Health Department funded the Nice Ride Minnesota bike share(More)
The NCHS GIS Guest Lecture Series has been presented continuously since 1988. Envision will be available to offsite CDC locations; Web access will be available on the Internet but only at the time of this presentation. Please contact Editor if you wish to view on the Web. Cosponsors to the NCHS Cartography and GIS Guest Lecture Series include CDC's(More)
Stream reasoning is an exciting multidisciplinary research area that combines stream processing and semantic reasoning. Its goal is to not only process a dynamic data stream, but also to extract explicit and implicit information on-the-fly. One of its challenges is managing history awareness: how much and which historical data should be held and for how(More)
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