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2016-08-08
Campbell, Sandy, Kung, Janice Yu Chen
The rise of academic library involvement in research data management has presented numerous challenges for academic libraries. While libraries and archives have always had collection development policies that defined what they would or would not collect, policies for selecting research data for...
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Spring 2014
Introduction: “Pain coping” refers to cognitive and behavioral pain management methods. Little is known about the determinants of coping style. Objective: To investigate factors predicting coping in whiplash-associated disorders (WAD) and onset of severe neck/low back pain. Methods: In secondary...
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2016-03-30
Schick-Makaroff, K., MacDonald, M., Plummer, M., Burgess, J., Neander, W.
Background: When we began this process, we were doctoral students and a faculty member in a research methods course. As students, we were facing a review of the literature for our dissertations. We encountered several different ways of conducting a review but were unable to locate any resources...
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2014-03-07
Overview of the state of access to public information produced by the Government of Canada at the beginning of 2014.
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What the Puck? The Gentle Wind Project, a Quasi-Religious New Age Alternative Healing Organization
DownloadFall 2015
The quasi-religious space is important for examining groups and organizations that exhibit qualities of both the sacred and the secular, particularly when groups have a vested interest in being perceived as either secular or sacred. The purpose of this thesis is to examine the Gentle Wind...
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What to do When Everyone Wants You to Collaborate: Managing the Demand for Library Support in Systematic Review Searching
Download2015-01-01
Dorgan, Marlene, Campbell, Sandy
The demand for systematic review support in academic health sciences libraries is increasing. To manage the demand, the John W. Scott Health Sciences Library at the University of Alberta has created an action plan consisting of eight strategies. The results of implementing these strategies have...
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Fall 2023
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and training of binary networks. Still, these discrete problems are combinatorial in nature and are also not amenable to...