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An example is demonstrated to determine these points in intuitionistic fuzzy normed space.
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To determine these point occurrences we employ change point models.
After determining these points, radial augmentation index, rAI = (Pi −PD /(PS −PD) can be computed.
Target inhibition, dormancy of endothelial cells or vascular shutdown with subsequent tumour ischaemia are important biologial end points that have the potential to predict antitumour activity, but the only reliable source to determine these end points is the tumour.
The sample was analysed jointly to determine these cut-points, in view of the fact that between patients on PPI and patients off PPI there were no relevant differences in predictive factors of TS, nor substantial differences in the optimal cut-point of the RDQ scale for identifying TS in both groups of patients.
The data used to determine these cut-off points come from the Stichting HIV Monitoring (detectable viral load in the previous 3 years) and the prior RCT (suboptimal adherence) [ 18].
To determine the effect of cross protection δ p on the peak magnitude and time to peak, we also determined these data points for the case where cross reactivity provided no protection to individuals previously exposed to sH1N1 (δ p = 1), and only provided reduced illness and transmission.
Also, it is performed analytical and experimental investigations of the minimum and maximum relative frequency points of active input power and efficiency in order to determine how these points changed as the resistance load varied.
Therefore, careful experiments would be required for determining these transition points accurately.
We determined these cut-points using receiver operating characteristic (ROC) analyses of data from the 2nd and 3rd studies, and selected the values for postprandial and nocturnal integrated esophageal acidity and time esophageal pH < 4 that had optimal sensitivity and specificity for distinguishing between normal and GERD subjects (Table 1).
The validity of data needed to determine these criteria is another crucial point.
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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