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In this contribution we propose a method to synthesize DLNMs to simpler summaries, expressed by a reduced set of parameters of one-dimensional functions, which are compatible with current multivariate meta-analytical techniques.
In the next section, we provide a brief recap of the algebraic development of DLNMs and multivariate meta-analysis, and then describe the main statistical development, establishing a method to reduce the fit of a DLNM to summaries expressed in a single dimension.
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Conciseness is related to the length of the key-summary, while the coverage evaluation is based on comparison between computed key-frames summary and ground-truth summary, expressed by the recall rate, precision rate, CUS A and CUS E. Most evaluation metrics reviewed above were developed for 2D video.
Descriptive summaries are expressed as the mean (standard deviations) for continuous measurements and as the number (percentage) for categories.
In summary, differentially expressed proteins have been identified by proteome and gene expression analyses, suggesting that upregulation of VIM/ vim, GSTP1/ gstp1 and CKB/ ckb, and downregulation of KRT8/ krt8 and KRT19/ krt19 are related to MEK5/Erk5-mediated TNF-α resistance in an established MCF-7 cell line.
In summary, we expressed each of the nine mGlu1 mutant receptors, identified as GRM1 mutations associated with schizophrenia, into stable cell lines and assessed their pharmacology.
In summary, we expressed and purified mammalian Syt1 in insect cells at levels amenable to biochemical studies and characterized the purified protein in unprecedented detail.
The demographic and baseline outcomes were recapitulated using descriptive summary measures expressed as the sum, mean, median and standard deviation for continuous variables and percentages for categorical variables.
In summary, we expressed the HPV 11 L1 NLS- gene in two different plants, upon which we found that in A. thaliana VLPs were formed.
Descriptive summary measures expressed as mean (SD) or median (IQR) will be used for continuous variables and number (per cent) for categorical variables, in order to provide a summary estimate of patient demographics and baseline characteristics.
The results of patient demographics and baseline characteristics will be summarised using descriptive summary measures: expressed as mean (SD) or median (minimum maximum) for continuous variables and number (per cent) for categorical variables.
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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