Text Relatedness Using Word and Phrase Relatedness Method (TrWP) is a text relatedness measure that computes semantic similarity between words and phrases utilizing aggregated statistics from the Google Web-1T corpus. The ...

K-means is a commonly used method for clustering in applications that require fast response time due to its speed. As data becomes large (millions of data points), the classical implementation may not achieve the performance ...

Under the word RAM model, we design three data structures that can be constructed in $O(n\sqrt{\lg n})$ time over $n$ points in an $n \times n$ grid. The first data structure is an $O(n\lg^{\epsilon} n)$-word structure ...

Since 2003, Health Canada has been undergoing regulatory modernization to “ensure that Canadians have faster access to the safe drugs they need.” As national health agencies develop policies to modernize the regulation ...

Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used to treat and prevent illness. Land application of biosolids is one potential source of NSAIDs into agricultural soils and enter as mixtures into the environment. ...

Geotextile tube dewatering is a pre-treatment method frequently utilized in the remediation of high-water content materials. Given the association that some contaminants (e.g. dioxins and furans) have with the particulate ...

Following application in the spring to a sandy loam soil, residues of glyphosate (N-phosphonomethyl glycine) decreased rapidly and degraded into aminomethylphosphonic acid which also was short lived. Analysis for glyphosate ...