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Although the taxonomy developed by Johnson-Glenberg et al. (2014) enables us to assess whether bodily resources are involved in a learning setting, the semantic nature of actions, and whether the learning environment offers immersive qualities, we consider other factors to be at least as important for determining whether and how a learning task can be regarded as being influenced by EC.
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We identified a 275-gene GES associated with RFS in a learning set and validated its robustness in an independent validation set.
We identified a 275-gene GES (gene expression signature) predictive of RFS in a learning set and validated its robustness in an independent set.
The formula and the cut-off values of the SI were generated based on the expression (i.e. the percentage of positive cells by immunostaining) of the three markers p-ERK, HP1 γ and PAI-1 in low-proliferating areas (arbitrarily defined as <12 Ki67-positive in an area of 100 cells) in a learning set of five adenoma samples.
To design and develop two RLOs on meta-analysis 2. To evaluate the educational and media attributes of the RLOs with students on a postgraduate diploma in nursing (PGN) course and a Master's in Public Health (MPH) course in a blended learning setting.
Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting.
Furthermore, they demonstrated that NGD can be used in a supervised learning setting to accurately classify words into categories in the WordNet database.
They also obtain temporal behavior patterns for students in a blended learning setting.
In this study we found no evidence supporting that students' learning styles, according to ILS, influence the choice to use the web-based ECG-interpretation programme or not in a blended learning setting.
Using social media (Facebook, blogs, Twitter, Wikis) in a formal learning setting, for example, has been shown to promote the development of informal and formal learning communities, where students feel that they are a part of a classroom in which their opinions matter [ 32].
The approach used for the Legionella strain data was as follows: First, the data set was split in two: a learning set of 133 samples was used for creating a predictive model and a reserved validation set consisting of 213 samples was kept apart for testing of the model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com