Your English writing platform
Discover LudwigExact(1)
Thus, the above-chance extraction of the objective target location on 'Unseen-Incorrect' trials is not likely to reflect motor code, nor can the improved classification performance for 'Seen Correct' over 'Unseen Correct', since those trials involve exactly the same stimuli and responses.
Similar(59)
Indexing deals with the automatic extraction of information with the objective of automatically describing and organizing the content.
All above criteria were considered again, together with extraction of the following characteristics: research objective, design of the study, feature investigated (single, multiple, combined), method of investigation, control group, method of evaluation of outcome, conclusion and date of publication.
Because the orthodontic literature is deficient in studies on the stability of class II subdivision treatment with 3 premolar extractions, the objective of this study is to compare the stability of patients with class II subdivision malocclusions treated with either 3 or 4 premolar extractions, in the long-term.
This process leads to an objective extraction of the most relevant behavioral parameters to account for the effects of a specific experimental condition (Additional file 2 : Figure S6).
Economic extraction, the central objective of the colonial state, has become the means for the Angolan elite to assimilate into the Portuguese elite.
The automatic extraction of objective features from paintings, like brushstroke distribution, orientation, and shape, could be particularly useful for different artwork analyses and management tasks.
The probabilistic quantification allows for an objective and reproducible extraction of the ADC values in the different clusters.
We gratefully acknowledge the assistance of Stephanie Donovan and Renée Nossal with relevance assessments, and Ashley Page with extraction of objective data for this review.
"Today, the priority is extraction of the dead," he said.
In particular, the aggregation is obtained via Non-negative Sparse Principal Component Analysis (NSPCA), a feature extraction technique that provides linear combinations of the objectives, while explaining the variance in the data with few combinations and imposing a non-negative constraint on the obtained coefficients.
Write better and faster with AI suggestions while staying true to your unique style.
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