The goal of the project is to evaluate the pedagogical impact of Pearson’s Knewton-enhanced MyLab products in comparison to their regular MyLab products. Our focus will be on Knewton-enhanced MyMathLab and MyStatsLab. This project will deploy Knewton’s adaptive learning technology in our Data Analysis in Psychology course, a course dominated by second year students (approximately 90%). The course is a requirement for all Psychology students and offered every Fall semester. The assessment will occur in Fall 2013 and will provide data from over 300 students.
The objective of this project is to design a Visual Systemic ‘Risk Map’ as one possible prototype to address some of the issues of risk identification and analysis in the context of global financial systems. We propose the design concept of the ‘Risk Map’ using principles of Cognitive Systems Engineering (instrumental papers in this field are Rasmussen et al. 1994; Vicente and Rasmussen, 1990; Woods and Roth, 1988), which is suited to engineering for complex systems.
There are two interconnected processes required for this project to succeed: a process of consultation and engagement of the public and stakeholder groups, and the more technical development of measures. Both areas involve key methods for applied research and knowledge mobilization within the social sciences.
Recent research at the University of Calgary has focused on shear walls and on evaluating the influence of various parameters on in-plane shear capacity. The reason for this is that, for example, while it is recognized by most researchers that compression on walls increases the shear strength of masonry, the quantification of this effect has been reported to vary from 40 to 70% [1,8] and the factors adopted by various design standards range from 0.25 up to 0.4.
Our immune system Is designed to protect us from harmful agents. It must initiate a rapid potent inflammatory response to eliminate invading pathogens. Although similar to the eradication of pathogens, the inflammatory response can also occur following a sterile injury and is required for tissue repair and wound healing. This includes trauma, ischaemia-reperfusion injury, autoimmunity or burn induced injury that occurs in the absence of any microorganisms.
Prolonged morphine treatment is known to cause an up-regulation of ORL1 receptors in the spinal cord (12, 13), which in turn is believed to contribute to the development of morphine tolerance by altering ?-opioid receptor mediate modulation of N-type calcium channels. Indeed, ORL1 antagonists can reverse the development of tolerance, and ORL1 knockout can mediate resistance to tolerance with no changes on the acute analgesic effects of morphine (14, 15). Our lab has shown that ORL1 receptors and Cav2.2 channels form a physical signaling complex that results in tonic G??
Objective 1. Develop KOA microsimulation model: To develop and validate a Knee-OA population-based microsimulation model (POHEM-KOA) using the previously developed POHEM-OA model.
Objective 2. Perform cost-effectiveness analysis of non-pharmacological therapies for KOA: To use POHEM-KOA in conducting a cost-effectiveness analysis of treatment strategies, including exercise therapy and weight reduction, targeted at obese and overweight early OA patients in Canada over the next 20 years [2013, 2033].
We have developed a software tool that could be used as stand-alone software, or could be implemented in a vascular diagnostic suite (for example within the post-processing software that accompanies most CT and MR scanners). The tool would allow surgeons and radiologists to better evaluate the current state of the aorta under examination and the likelihood of rapid enlargement, rupture or dissection. This added tool would be used together with the existing vascular diagnostic tools, such as diameter and rate of growth providing an improved and more effective diagnosis.
For so many years, industries that are heavily reliant on geospatial data have been working with paper maps unfolded on tables. Some of these companies are still using paper maps to analyze huge amounts of data despite the current availability of geographic information system (GSI) for storing and managing geospatial data. Data management tasks using these traditional methods are asynchronous and very tedious. Delays in updating these maps can pose a safety risk for field workers who may be guided based on outdated information.