University of Windsor

About: University of Windsor is a education organization based out in Windsor, Ontario, Canada. It is known for research contribution in the topics: Population & Argumentation theory. The organization has 10654 authors who have published 22307 publications receiving 435906 citations. The organization is also known as: UWindsor & Assumption University of Windsor.

Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) processing speed scores as measures of noncredible responding: The third generation of embedded performance validity indicators

Abstract: Research suggests that select processing speed measures can also serve as embedded validity indicators (EVIs). The present study examined the diagnostic utility of Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) subtests as EVIs in a mixed clinical sample of 205 patients medically referred for neuropsychological assessment (53.3% female, mean age = 45.1). Classification accuracy was calculated against 3 composite measures of performance validity as criterion variables. A PSI ≤79 produced a good combination of sensitivity (.23-.56) and specificity (.92-.98). A Coding scaled score ≤5 resulted in good specificity (.94-1.00), but low and variable sensitivity (.04-.28). A Symbol Search scaled score ≤6 achieved a good balance between sensitivity (.38-.64) and specificity (.88-.93). A Coding-Symbol Search scaled score difference ≥5 produced adequate specificity (.89-.91) but consistently low sensitivity (.08-.12). A 2-tailed cutoff on the Coding/Symbol Search raw score ratio (≤1.41 or ≥3.57) produced acceptable specificity (.87-.93), but low sensitivity (.15-.24). Failing ≥2 of these EVIs produced variable specificity (.81-.93) and sensitivity (.31-.59). Failing ≥3 of these EVIs stabilized specificity (.89-.94) at a small cost to sensitivity (.23-.53). Results suggest that processing speed based EVIs have the potential to provide a cost-effective and expedient method for evaluating the validity of cognitive data. Given their generally low and variable sensitivity, however, they should not be used in isolation to determine the credibility of a given response set. They also produced unacceptably high rates of false positive errors in patients with moderate-to-severe head injury. Combining evidence from multiple EVIs has the potential to improve overall classification accuracy. (PsycINFO Database Record

Use of DNA barcoding to detect invertebrate invasive species from diapausing eggs

Abstract: The global transhipment of ballast water and associated flora and fauna by cargo vessels has increased dramatically in recent decades. Invertebrate species are frequently carried in ballast water and sediment, although identification of diapausing eggs can be extremely problematic. Here we test the application of DNA barcoding using mitochondrial cytochrome c oxidase subunit I and 16S rDNA to identify species from diapausing eggs collected in ballast sediment of ships. The accuracy of DNA barcoding identification was tested by comparing results from the molecular markers against each other, and by comparing barcoding results to traditional morphological identification of individuals hatched from diapausing eggs. Further, we explored two public genetic databases to determine the broader applicability of DNA barcodes. Of 289 diapausing eggs surveyed, sufficient DNA for barcoding was obtained from 96 individuals (33%). Unsuccessful DNA extractions from 67% of eggs in our study were most likely due to degraded condition of eggs. Of 96 eggs with successful DNA extraction, 61 (64%) were identified to species level, while 36% were identified to possible family/order level. Species level identifications were always consistent between methodologies. DNA barcoding was suitable for a wide range of taxa, including Branchiopoda, Copepoda, Rotifera, Bryozoa and Ascidia. Branchiopoda and Copepoda were respectively the best and worst represented groups in genetic databases. Though genetic databases remain incomplete, DNA barcoding resolved nearly double the number of species identified by traditional taxonomy (19 vs. 10). Notorious invaders are well represented in existing databases, rendering these NIS detectable using molecular methods. DNA barcoding provides a rapid and accurate approach to identification of invertebrate diapausing eggs that otherwise would be very difficult to identify.