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Rather, such inferences are based on a collection of measurable data points and the machine's interpretation thereof.
The scoring system, which contained more contributing measurable data points, was higher than any of the individual parameters (Fig. 2b; Table 2).
Indeed, generating hypotheses in small-scale contexts is preferable to doing so across large multisite samples because the former is more amenable to qualitative studies of the different ways in which a large number of factors interact with one another, whereas the latter is more suited to testing hypotheses about a limited number of well-defined, measurable data points.
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For the calculation of the detection limit, we repeated our lowest measurable data point, 100 nM of Zn, for 7× and obtained the standard deviation.
Values for area under the concentration vs time curve (AUC) were calculated using the linear trapezoidal rule up to the last measurable data point (AUC0− t ), or extrapolated to infinity (AUC0−∞).
The parameters were calculated using the following equations: was calculated by the trapezoidal rule to the last measurable data point: λz: first-order rate constant associated with terminal portion of the curve) Antitumour activity was evaluated using nude mice implanted with a human gastric cancer cell line MKN-4.
Then descriptive pharmacokinetic parameters were derived, including maximum plasma concentration normalized by the injected activity (Cmax/D), area under concentration vs time curve from zero up to the last measurable data point normalized by the injected activity (AUC0-tlast/D) and blood to plasma ratio of total radioactivity.
So, you focus on numbers, points, calories, all measurable data that give you reassurance that you are "on the right track," giving you the illusion that your issues are under control.
This final down-selection removes data points over the strongest magnetic anomalies without a measurable loss cone, times with tenuous magnetic connection to the surface, and poor/noisy data.
"By then there is no measurable data".
Existing systems have various data points - what time a member of staff arrives and leaves, how they are progressing towards previously established and measurable goals - but these are very rarely joined up.
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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