My internship focuses on the creation of a weighted scale that ranks different types of environmental disturbances, both natural (i.e. wildfires) and anthropogenic (i.e. seismic activity), by the level of transformation they incur in arctic tundra ecosystems. Currently, there is a lack of a widely used ranking system to help understand which types of environmental disturbances in the arctic are most severe.
This research proposal is in the field of decision making under uncertainty. More specifically, we focus upon improving decision making in adversarial, stochastic and/or partially observable situations. In any situation where there is more than one agent that can impact its current state, or any variable that is outside the control of the agent, we are in the presence of adversarial planning. Failing to recognize the impact of other agents on a situation leads to suboptimal solution.
Workplace incidents usually need to be reported and it is important to ensure that they are resolved in a timely manner. To understand the procedures involved in an emergency response to a workplace incident, we have started investigating the existing practices of the McGill University Safety office by interviewing their personnel. We focused our investigation on chemical spills that occur in the workplace, and found potential areas of improvement in their practices. These potential areas of improvement can be addressed by mobile sensing.
Declarative programming techniques have been used to make programming available to common users through introducing query languages such as SQL and spreadsheet programs such as Excel. The proposed industrial partner, LogicBlox, has developed software that enables highly-complex data analysis through the flexible and familiar form of spreadsheet computing. The main goal of this proposal is to increase and automate adaptivity of LogicBlox platform, and to evaluate proposed methodology through applications in local industry.
Blueberry leaves are gynaecological aids and inhibitors of advanced glycation endproducts (AGEs). AGEs cause atherosclerosis, kidney, vascular, and neurological diseases through an oxidative process and correlate with preeclampsia. Preeclampsia affects 2-7% of women and is a leading cause of maternal/perinatal mortality. A woman dies of preeclampsia every eight minutes worldwide. Unfortunately, randomized trials evaluating dietary, vitamin, mineral treatments showed minimal benefit in reducing preeclampsia. AGEs are associated with preeclampsia.
Current therapies to manage pain either result in side effects or are insufficient and the associated medical costs and loss of work days come pose a tremendous socioeconomic burden. We recently showed that T-type channel activity is aberrantly regulated in inflammatory and neuropathic pain by the deubiquitinase USP5, and we have begun to explore this mechanism as a new therapeutic avenue based on interfering TAT peptides. We now plan to test our TATpeptides in diabetic neuropathy and inflammatory bowel pain.
• The primary objective of this project is to construct and validate an interactive eye-tracking system that can be deployed at kiosk based automated consumer interfaces. This system will gather real-time idiosyncratic information about attention and current mental state, and use this to target messages to the consumer.
• Secondly, we will use a combination of eye tracking and magnetic resonance imaging (MRI) methods to develop eyegaze behavior algorithms that can be used as an index of true preference in consumers
For faking to occur, test takers must be both able and willing/motivated to provide false responses on a given test (Snell, Sydell, & Lueke, 1999). If ability is lacking, then the motivation to do so does not matter. Conversely one might be able to purposely alter their responses to elevate their scores, but may not be motivated to do so. Therefore it is important to understand both the ability (e.g., cognitive processes) and the motivation to fake in order to better understand how to prevent and detect faking behavior.
The Pathfinder Career System is a sophisticated psychological assessment tool that provides a high-definition portrait of an individual’s behavioural profile that focuses on the key attributes required for success in a specific job position. The purpose of this project is for Optimum Talent inc., a Human Resources Consulting firm, to be in a position to make optimal use of the test, by determining how it can be integrated into the current services offered by the firm and by pushing the tool further to respond to very specific client demands.