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The Gartner Hype Cycle has Big Data sliding into the long, deep "trough of disillusionment".
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Summarising the data using sliding windows: The data can be searched for genome regions of defined interest using a sliding-window approach.
Data slides aren't really about the data.
I didn't even get into any of the data slides, but.
Data slide "Effect on Elasticity" "Radiation-induced void swelling decreases elasticity" It states the finding rather than the method.
Data slide "RT-qPCR" "RNAi knocked down the target gene 100-fold" It states the finding rather than the method.
Data slides should also be rethought.
Otherwise, consider that the data slide should not be about the data display but about the meaning of the data.
In 2012, recognizing that there might be hidden photographic gems among all the data slides in ecologists' collections, the journal BMC Ecology established a photo contest.
We have weekly data/journal club meetings, all in Japanese, although for the first 6 months we spoke in English, and even now data slides are usually written in English.
We further divided mini lectures into core message slides, country specific data slides, and optional slides so that faculty could choose how much they would present on a particular tobacco-related topic.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com