An effective data-acquiring procedure featured by recycling a large volume of liquid feed has been adopted after the steady state operation.
The data acquired from these procedures were relative measures of gene expression independent of larval size differences among the thermal stocks.
We then fit the data acquired in each fractile procedure using local data interpolation (i.e., splines, MATLAB SLM tool).
Stable isotope data acquired by the DS procedure cannot detect such effects because the data reduction assumes that the natural isotope fractionation is adequately described by a single kinetic mass fractionation curve, which connects sample and starting material (Siebert et al. [ 31]).
In this paper, we propose the use of type-2 SOFLCs for the automatic control of anesthesia during multistage surgical procedures, where the type-2 fuzzy sets are constructed using data acquired from real patients during surgical procedures.
In this study, we have revisited the well-established Logan plot and derived a procedure that corrects either the distribution volume or the distribution volume ratio for signal originating from blood vessels, and we evaluated the procedure on PET data acquired using two radioligands.
Curve fitting to the linear single-compartment model (Eqn 1) was performed using data acquired during the entire PEEP titration procedure.
In addition, the simplified set-up ensures better reproducibility of the data acquired and facilitates any post-processing procedures, making this a user-friendly methodology for both experts and non-specialists.
The interchangeability between highly selective excitation sources, also significantly simplifies the experimental set-up and the need to adjust the object or equipment between acquisitions, ensuring better reproducibility of the data acquired and facilitating any post-processing procedures.
The identification using data acquired during field flashing, a commissioning standard procedure, allows an initial estimation of the d-axis open-circuit transient time constant.
A standardised procedure to evaluate the complex data acquired by CGM, and to create patient-tailored recommendations has not yet been developed.
