University of Guelph

About: University of Guelph is a education organization based out in Guelph, Ontario, Canada. It is known for research contribution in the topics: Population & Gene. The organization has 26542 authors who have published 50553 publications receiving 1715255 citations. The organization is also known as: U of G & Guelph University.

The ABC's of Pollutant Bioassay Using Fish

Abstract: This is a recommended method for tests of acute toxicity of pollutants to fish. Improved procedures are recommended: chiefly, more frequent observations of mortality and simple statistical treatment. The four-day lethal concentration or the lethal threshold concentration should be used as the final expression of the test result. Toxicity curves should be constructed as the experiment progresses, for the information of the investigator. Tests should provide at least two liters, and preferably three liters of test water per gram of fish per day, whether the test is static or continuous-flow. Tests should not be aerated. Standard species such as rainbow trout are recommended. Effects of mixtures should be assessed by adding toxicant concentrations which have been expressed as fractions of the lethal concentration. Some suggestions are made for using the standard bioassay technique in experiments on sublethal and chronic effects.

The Einstein Toolkit: A Community Computational Infrastructure for Relativistic Astrophysics

Abstract: We describe the Einstein Toolkit, a community-driven, freely accessible computational infrastructure intended for use in numerical relativity, relativistic astrophysics, and other applications. The Toolkit, developed by a collaboration involving researchers from multiple institutions around the world, combines a core set of components needed to simulate astrophysical objects such as black holes, compact objects, and collapsing stars, as well as a full suite of analysis tools. The Einstein Toolkit is currently based on the Cactus Framework for high-performance computing and the Carpet adaptive mesh refinement driver. It implements spacetime evolution via the BSSN evolution system and general-relativistic hydrodynamics in a finite-volume discretization. The toolkit is under continuous development and contains many new code components that have been publicly released for the first time and are described in this article. We discuss the motivation behind the release of the toolkit, the philosophy underlying its development, and the goals of the project. A summary of the implemented numerical techniques is included, as are results of numerical test covering a variety of sample astrophysical problems.

Affect Regulation and Temperament in Children with Autism Spectrum Disorder

Abstract: Affect regulation (AR) and temperament were examined in children with Autism Spectrum Disorder (ASD). To determine AR, children were exposed to a mildly frustrating situation. Temperament was assessed by the Children's Behavior Questionnaire (CBQ). Children with ASD showed greater variability in AR and used less effective AR strategies compared to controls. Lower academic ability was associated with less effective AR strategies for the ASD while for the controls older age predicted more effective AR strategies. Those with ASD were lower than controls in Attention Focusing, Inhibitory Control, and Soothability. Of the three overarching temperament factors of the CBQ, only Effortful Control but not Negative Affectivity and Surgency/Extraversion distinguished those with ASD from controls. For the ASD group, higher academic ability predicted higher Negative Affectivity. Fewer symptoms and older chronological age predicted higher Effortful Control.