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Next-generation sequencing (NGS) technology is a promising tool for identifying and characterizing unknown pathogens, but its usefulness in time-critical biodefense and public health applications is currently limited by the lack of fast, efficient, and reliable automated DNA sample preparation methods. To address this limitation, we are developing a digital(More)
The traditional business intelligence (BI) is data-driven, which can support enterprise strategic decision-making but can not effectively support the business operations level decision-making. Its implementation requires the integrity of enterprise information system, which may cause passivity in application and make it difficult to integrate BI into(More)
We have designed, fabricated, and characterized a digital microfluidic (DMF) platform to function as a central hub for interfacing multiple lab-on-a-chip sample processing modules towards automating the preparation of clinicallyderived DNA samples for ultrahigh throughput sequencing (UHTS). The platform enables plug-and-play installation of a two-plate DMF(More)
In order to develop confidence in numerical models which are used for automotive crash simulations, results are often compared with test data, and in some cases the numerical models are adjusted in order to improve the correlation. Comparisons between the time history of acceleration responses from test and simulations are the most challenging. Computing(More)
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