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To study the impact of DOM on barrier performance, a series of batch experiments were performed by measuring naphthalene and phenanthrene sorption onto sand coated with cetylpyridinium chloride (CPC) and bentonite coated with hexadecyltrimethylammonium bromide (HDTMA) in the presence of various concentrations of DOM.
After demonstrating its good predictive performance, a series of parametric studies is performed to assess the influence of the main material properties, and ratio of bond area to cross sectional area of the CFRP profiles on the efficiency of the proposed system.
Thus, in order to account for any effects of this systematic difference on either accuracy and/or performance, a series of MMMvII runs were performed to identify the tolerance parameter α which would make the total sum of squared scores as close as possible to the original distribution of scores.
In order to demonstrate the effects of artifacts on classifier performance, a series of classification experiments are designed using a multi-channel decision fusion classification algorithm.
In order to search novel p-menthane type monoterpene derivatives in good performance, a series of novel cis-p-menthane type Schiff base derivatives were designed and synthesized.
In order to enhance its catalytic activity and electrochemical performance, a series of cobalt-substituted Sr2Fe1.5-xCoxMo0.5O6-δ (SFCM, x = 0, 0.75 0.75 and 1) were synthesized in this work.
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This year's festival is bigger than the last, offering several one-night-only cabaret performances, a series of lectures and classes and more than 20 productions by individuals and troupes from around the country, as well as from Canada, France, Germany, Italy, Spain and Britain.
We thus compared the generalization performance of a series of classifiers by plotting their performance on the test set in ROC space.
To assess the theoretical performance of our approach, we performed a series of simulation studies.
We evaluated the predictive performance of the top-ranked SNPs for each feature ranking method and dataset by measuring the performance of a series of classification models that were developed using progressively larger number of top-ranked SNPs.
The performance was a series of wonderful protean transformations.
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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