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High-resolution photos taken with newer camera models can amount to eight megabytes of data, and some digital cameras can now shoot eight frames per second.
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To this end, the nub of devising an efficient ligand-based classification model can amount to developing a mathematical algorithm that "learns" the chemical structure-biological activity relationships (if any) from a given set of reference ligand chemical structures, a predefined set of target proteins and a bipartite activity relation between the reference ligands and targets.
Therefore, this model can decrease amount of calculation and has the capability of real time analysis.
While these models can accurately predict the amount of NPs remaining in dispersion as a function of time [f A (t)], the models fail to account for NP-cellular interactions that will occur within the suspension culture before sedimentation processes remove NPs from the dispersion.
Conclusions Inclusion of a diagnosis based patient morbidity measure in prescribing models can explain a large amount of variability, both between practices and within practices.
Inclusion of a diagnosis based patient morbidity measure into prescribing models can explain a large amount of variability at both patient and practice levels.
By using phylogenetic analysis and structural analysis of mutated proteins using hypothetical models can provide a fair amount of information with recognizable precision.
Models can allow a large amount of evidence to be considered simultaneously, by combining and integrating into a coherent whole different types of data from controlled trials, routine surveillance and expert consensus[ 10].
Once Deep Learning learned unsupervised data (Big Data) more traditional models can be trained with less amount of labeled data [79 81].
PSFM models can therefore contain a considerable amount of uncertainty.
Regression models can be used to generate large amount of data with limited number of thermal –hydraulic code runs.
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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