Assessing the suitability of Unmanned Aerial Vehicles for data collection

The research project intends to test various aspects of data collection using a UAV (unmanned aerial vehicle) in order to assess the suitability for small sites (~1 ha). Ideal conditions for UAV based mapping will be determined and compared to other traditional methods. To identify suitable conditions, the relationship between accuracy and several factors (the flying height, observational angle) will be assessed as well as limitations such as the effect of wind and distance to target. Various software will be utilized to address the accuracy of image stitching.

Keyword Search in Relational Databases for Business Users Year Two

Much of the world's high-quality data remains under lock in relational databases. Access is gained through relational query languages. This can suffice for people who are well versed in both SQL and in the schemas of databases. However, anyone who does not know SQL or who is not well versed in the schema is effectively locked out. Keyword search over relational databases was proposed a decade ago to offer an alternative way to query a database. While the general approach has merit, many refinements are needed, before it can be an effective product.

Health economics and modeling collaboration between sanofi Pasteur and York: pertussis study

Pertussis, caused by the strict human pathogen B. pertussis or Bordetella parapertussis, is a highly contagious, potentially life-threatening respiratory tract illness when it occurs in unprotected infants. Despite the introduction of acellular pertussis (aP) vaccines and great initial success of the immunization program, pertussis outbreaks were reported in adolescents and adults in Canada since 1993. This trend was demonstrated as shift in pertussis epidemiology from infants and young children.

The importance of Adiponectin signaling during cardiac remodeling

Many reports have established a correlation between obesity and diabetes with cardiovascular complications such as heart failure. This occurs due to changes in the structure and function of the heart, yet the precise mechanisms responsible for regulating these changes in diabetes remain to be determined. This project will focus on the role played by a substance (adiponectin) which is released from fat cells. Upon release, adiponectin can travel in the bloodstream to have effects in the heart.

Multiscale Data Assimilation and Modeling for Nowcasting and Beyond Year Two

Nowcasting encompasses a detailed description of the current weather along with forecasts during the next several hours. Most current nowcasting techniques, such as MAPLE (the McGill Algorithm for Prediction by Lagrangian Extrapolation) used in The Weather Network/Pelmorex Media Inc., are based on temporal extrapolation of radar and satellite imagery. Recent advances in observation networks, high-resolution numerical models, and in particular the data assimilation methods have great potentials to improve nowcasting accuracy.

Effect of influenza vaccination with high-dose antigen on geriatric population

Vaccination is an important preventive measure against influenza infection during both seasonal epidemics and pandemic outbreaks. This research aims to evaluate the health benefits and costs associated with a new vaccine developed by Sanofi for seasonal influenza. This vaccine provides better efficacy and higher protection for individuals over 65 years of age. The vaccine is expected to reduce severe illness and hospitalization in this age group.

Keyword Search in Relational Databases for Business Users

Much of the world's high-quality data remains under lock in relational databases. Access is gained through relational query languages. This can suffice for people who are well versed in both SQL and in the schemas of databases. However, anyone who does not know SQL or who is not well versed in the schema is effectively locked out. Keyword search over relational databases was proposed a decade ago to offer an alternative way to query a database. While the general approach has merit, many refinements are needed, before it can be an effective product.

Multiscale Data Assimilation and Modeling for Nowcasting and Beyond

The strategic plan is to improve storm nowcasting by using an advanced multiscale data assimilation and modeling system.

How Teachers Understand Self-Regulation: Connecting the Canadian Self-Regulation Initiative with Pearson Canada Inc

The notion of ‘self-regulation’ in the development of children and young people and the health of adults has taken on considerable importance, especially in education, as the science investigating this feature has made significant advances over the last decade. One nationwide initiative, the Canadian Self-Regulation Initiative (CSRI), has been working since 2012 to support educators’ understanding about self-regulation and their ability to integrate these ideas into their practice.

ExomeAnnotator: Developing a system biology approach to genome annotation for disease risk assessment

Understanding the underlying factors that cause inherited diseases to develop is an important step in improving the health status of individuals, and identifying effective prevention and control measures. This project aims to apply fundamental know of genetics, genome sequence analysis, modeling and simulations, and bio-informatics to uncover the relationship between these factors and assess the risk of such diseases.

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