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Developing Global Leaders for Research, Regulation and Stewardship of Crop Protection Chemistry in the 21st Century
(ACS Publications, 2015-04-09)
To provide sufficient food and fiber to the increasing global population, the technologies associated with crop protection are growing ever more sophisticated but, at the same time, societal expectations for the safe use ...
BULK DEPOSITION OF PESTICIDES IN A CANADIAN CITY: PART 1 GLYPHOSATE AND OTHER AGRICULTURAL PESTICIDES
(2015-03)
Winnipeg is a city in the Canadian Prairies with a population of about 600,000. Like many other cities and towns in this region of Canada, the city is surrounded by agriculture. Weekly bulk deposition samples were collected ...
Factors influencing H1N1 vaccine behavior among Manitoba Metis in Canada: a qualitative study
(2015-02-12)
Abstract
Background
During the first wave of the H1N1 influenza pandemic in 2009, Aboriginal populations in Canada experienced disproportionate rates of infection, particularly ...
Impact of automation on drivers' performance in agricultural semi-autonomous vehicles
(ASABE, 2015)
Drivers inadequate mental workload has been reported as one of the nega- tive effects of driving assistant systems and in-vehicle automation. The increasing trend of automation in agricultural vehicles raises some concerns ...
Past, Present and Future of Respiratory Research: A Survey of Canadian Health Care Professionals
(2015-1-1)
BACKGROUND: The Canadian Respiratory Health Professionals (CRHP) is the multidisciplinary health care professional group of the Canadian Lung Association. Although the CRHP has a growing number of highly qualified researchers, ...
A data analytic algorithm for managing, querying, and processing uncertain big data in cloud environments
(MDPI, 2015-12)
Big data are everywhere as high volumes of varieties of valuable precise and uncertain data can be easily collected or generated at high velocity in various real-life applications. Embedded in these big data are rich sets ...
Edge-based mining of frequent subgraphs from graph streams
(Elsevier, 2015)
In the current era of Big data, high volumes of valuable data can be generated at a high velocity from high-varieties of data sources in various real-life applications ranging from sensor networks to social networks, from ...
Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data
(Elsevier, 2015)
Knowledge discovery and data mining generally discovers implicit, previously unknown, and useful knowledge from data. As one of the popular knowledge discovery and data mining tasks, frequent itemset mining, in particular, ...
Frequent subgraph mining from streams of linked graph structured data
(CEUR Workshop Proceedings, 2015)
Nowadays, high volumes of high-value data (e.g., semantic web data) can be generated and published at a high velocity. A collection of these data can be viewed as a big, interlinked, dynamic graph structure of linked ...