blocksize. The third-level low-pass subbands produce a correlation peak that varies with translation from 0.7 and 1.0 with an average in excess of 0.9. Translation sensitivity is limited to the high-pass subband and even this subband is potentially useful. The correlation peak for high-pass subbands derived

that automatically translates Datalog programs into highly efficient BDD implementations. We used this approach to develop a variety of context-sensitive algorithms including side effect analysis, type analysis, and escape analysis.

The synthesis of protein from messenger RNA during translation is a highly dynamic process that plays a key role in controlling the efficiency and fidelity of genome-wide protein expression. The availability of aminoacylated transfer RNA (tRNA) is a major factor influencing the speed of ribosomal

Correspondence should be addressed to W.G. page 1 Summary Sequence similarity between a translated nucleotide sequence and a known biological protein can provide strong evidence for the presence of a homologous coding region, and such similarities can often be identified even between distantly

that achieves the best energy savings possible under the mobile device’s current connectivity constrains. In our evaluation, we show that MAUI enables: 1) a resource-intensive face recognition application that consumes an order of magnitude less energy, 2) a latency-sensitive arcade game application

network in order to produce a single measure of con®dence in the proposed prediction. The speed of the method, along with its sensitivity and very low false-positive rate makes it ideal for automatically predicting the structure of all the proteins in a translated bacterial genome (proteome). The method

, compared for various depths, and analyzed with regard to the degree of accuracy. Thus the sensitivity of the radiometer is determined; its threshold being 240 r-disintegratlon (quant)/min/l or 2- 10-10 Curie.

appears to be a widely-held intuition, our experimental results reveal that it is possible to train a face detector without having to label images as containingafaceornot. Controlexperiments show that this feature detector is robust not only to translation but also to scaling and out-of-plane rotation. We

to deliver in neurophysiological laboratory situations requiring hundreds of daily trials. Animals are also sensitive to other, nonvegetative rewards, such as touch to the skin or fur and presentation of novel objects and situations eliciting exploratory responses, but these again are difficult

of security vulnerabilities in Web applications. We propose a static analysis approach based on a scalable and precise points-to analysis. In our system, user-provided specifications of vulnerabilities are automatically translated into static analyzers. Our approach finds all vulnerabilities matching a