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The main purpose of this study is not to show the superiority of LOR to traditional methods, rather to present that LOR is an alternative option in VS and has its advantages to be extended for screening molecules on novel target as well as its utility in data integration.
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Although our aim is to provide a controlled comparison of standard and empirical methods, rather than to attempt to replicate the exact prediction and annotation methods of the previous studies, these results show that most functional categories reported to be enriched in the literature would not remain so after correction for bias.
This turns out to be mentioned almost in passing in subsection "Replay is enhanced by spatial working memory demand", and is easy to miss because it refers to the supplemental figure in Materials and Methods, rather than to presented data.
However, studies focused on this issue reported no association between comorbidity and functional decline, which speaks to the lack of validated measurement methods rather than to the real absence of relationships.
Big money continues to go to big landowners, who often use intensive, soil-degrading and water-polluting methods, rather than to struggling hill farmers making goat's cheese.
The aim of this human evaluation was to get a feel for the merits of our methods rather than to get quantitative assessment of the strategies tested.
Our aim was not to compare methods, but rather to find a method able to recapitulate to an acceptable level of accuracy the classifications within these data sets.
Students' comments about usefulness, combined with their on-site attendance levels, make the point that they did not want to use online methods to replace on-site methods but rather to augment them.
So it is possible that this nice fit is due to our methods, rather than due to the law Weisburd imagines.
The following sections do not attempt at describing the technicalities of the modelling methods, but rather to depict the applicability, practicality and benefits/limitations of these methods.
Jack Rodgers, from TV Guide said that his "favorite thing about this episode was the sly parallel that connects the three love stories" and "Michael's obsession with sticking to his old methods rather than learning to change and embrace technology".
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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