Error Correction in DNA Computing: Misclassification and Strand Loss

We present a method of transforming an extract-based DNA computation that is error-prone into one that is relatively error-free. These improvements in error rates are achieved without the supposition of any improvements in the reliability of the underlying laboratory techniques. We assume that only two types of errors are possible: a DNA strand may be incorrectly processed or it may be lost entirely. We show to deal with each of these errors individually and then analyze the tradeoff when both must be optimized simultaneously

Transparency in Complex Computational Systems

Scientists depend on complex computational systems that are often ineliminably opaque, to the detriment of our ability to give scientific explanations and detect artifacts. Some philosophers have s..

Spartan Daily, May 14, 2007

Volume 128, Issue 57https://scholarworks.sjsu.edu/spartandaily/10371/thumbnail.jp

2014 Annual Report

In FY 2014 Chicago Foundation for Women granted out $2,113,731 to 99 organisations for 150 grants to support 3 issue areas: 24$24 million in grants

The Struggle of Sound Archives in the United States

published or submitted for publicatio