how best to achieve the translation of research evidence into routine policy and practice remains an enduring challenge in health systems across the world. the complexities associated with changing behaviour at an individual, team, organizational and system level have led many academics to conclude that tailored, multifaceted strategies provide the most effective approach to knowledge translati...

The role of universities in knowledge production has changed. Although most higher learning still takes place universities, is increasingly produced collaborative networks comprising partners from different sectors (Välimaa, Papatsiba, and Hoffman, 2016. “Higher Education Networked Knowledge Societies.” In Re-becoming Universities, Changing Academy – Academic Profession International Comparativ...

The goal of this paper is to demonstrate that usual evaluation methods for text segmentation are not adapted for every task linked to text segmentation. To do so we differentiated the task of finding text boundaries in a corpus of concatenated texts from the task of finding transitions between topics inside the same text. We worked on a corpus of twenty two French political discourses trying to...

Proper determination of bed boundaries in layered reservoirs is vital ‎for accurate petrophysical interpretation of conventional logs. In the ‎wellbore, logs continuously measure physical properties of reservoir ‎while the properties change stepwise. This continuous representation ‎of logs may lead to ignorance of some high potential reservoir zones. ‎The main reasons for continuous nature of l...

[1] Auroral boundary algorithms for SuperDARN ionospheric convection observations are introduced. Both the equatorward boundary of scatter (EBS) and the convection reversal boundary (CRB) are found and compared with boundaries based on DMSP particle precipitation observations. These comparisons provide an intercalibration between the two schemes and insight into the relationship between dispara...

Edge detection has made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level performance on standard benchmarks. We provide a systematical study of these detector outputs, and show that they failed to accurately localize edges, which can be adversarial for tasks that require crisp edge inputs. In addition, we propose a ...