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This shows that one of the core predictions of simulation and common coding theories is correct: a pattern classifier that has learnt to decode which action was heard based on the pattern of brain activity in the premotor cortex during action perception trials can successfully deduce which action was executed in action execution trials.
We also test core predictions of the COPI vesicular model for anterograde transport among static cisternae.
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These results confirm the core prediction of our computational model, and provide a new perspective on neural dynamics in the BG and their effects on motor selection and cognitive disorders.
Although based on cross-sectional data, our findings provide support for a core prediction of the ADAPT model, that is, that undermining of the core psychosocial foundations of society brought about by mass conflict and displacement exerts an indirect and moderating influence on PTSD symptoms.
A core prediction of the vesicular transport model is that COPI vesicles are responsible for trafficking anterograde cargoes forward.
A core prediction of digestive theory [sensu [ 18, 21] is that the consumption of food with a high content of indigestible material results in an increase in gut dimensions.
The uniqueness of our core predictions suggests that the technique we have developed provides added value over a straightforward multi-species prediction tools.
The fact that none of the core predictions overlaps, but marginal ones do highlights the fact that different techniques were used to define orthologs.
For each experimental growth prediction, all of the strains with experimental data had to be positive for growth or not determined for a positive growth prediction to compare with in silico ancestral core predictions.
At its core is prediction of phenotype: even when phenotype is observed, there are advantages in using a predicted 'true' phenotype adjusted for environmental and noise effects.
Because TFBS is always short, i.e., a 6-8 bp core sequence, prediction of TFBS in a single species may have a much higher false positive rate than that based on conservation across multiple species.
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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