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If you're going to tell a story about bad things happening to good people, you've got to offer an explanation, and, when you make your arguments through characters, your reader will expect that explanation in the form of characters.
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Fundamentally, gene essentiality is a network-level property, so it is to be expected that explanations will rely on the network as a whole.
It is expected that explanations for the absence of reports may vary between different settings, as every organisation has its own particular policy and culture.
We expect that this alternative explanation will be more likely to explain the decreased inclination of charitable giving among those of older age that have experienced a strong cognitive decline, compared with moderate cognitive decline, as they are most likely to have lost financial control.
If the mechanisms behind volunteering in older age are to some extent similar to the mechanisms behind charitable giving, one might expect that an additional explanation for the decline in volunteering at older ages could be the decline in religious participation.
It seems reasonable to expect that there is no single explanation.
But as the neuro doubters make plain, we may be asking too much of neuroscience, expecting that its explanations will be definitive.
It was expected that the self-explanation condition would generate a substantial amount of cognitive load when considering all the cognitive processes involved in this activity.
When considering example-based learning with worked examples, it can be expected that adding self-explanation, in particular, would promote far transfer [ 66].
It was expected that the self-explanation and concept map study activities would be most effective in fostering problem-solving skills and conceptual knowledge, respectively.
From your explanation I expected that the only way something can be a "false positive" is if it gets called imprinted from RNA-seq data, but fails to validate with pyroseq data.
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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