"batch measurements" is a grammatically correct phrase and can be used in written English.
It refers to a set of measurements that are taken together or at the same time. Example: The scientist recorded the batch measurements of temperature and humidity every hour for the duration of the experiment.
Briefly, it followed from examination of the class prediction scores by the OPLS-DA classifier (Fig. 3b) that the 10 samples measured in both batch measurements (or batch 1&2 samples) are spread over class 2 and 3 (the word batch here referring to a sample collection set).
It follows that the O2PLS-DA procedure was used in this study to consolidate separate batch measurements of the same samples as although the measuring technique was essentially the same, slight operational changes may have been introduced between the two batch measurements which were well separated in time.
Model parameters were estimated on the basis of some easily determined batch measurements.
A series of plastic heads (to be plugged on the optical fibers of each readout system) with glued on sensor spots were used for longtime batch measurements.
As known for a long time, noisy batch measurements do not allow unique and accurate estimation of the kinetic parameters of the Monod model.
Experimental tracer breakthrough data were used, in conjunction with mathematical models and batch measurements, to evaluate alternative hypotheses for observed deviations from linear equilibrium partitioning behavior.
To account for batch measurement effect, 10 fruits from the first sample collection were measured again along the 88 fruits from the second collection, resulting in 98 measured metabolic profiles (Table 1-B).
VRFT provides controller parameters tuning in a completely automatic way based on a single I/O batch measurement on the plant.
Our strategy for predicting the ripening states of dates from the first sample collection is here described: First, we used the OPLS-DA model previously trained on the DS2-immature samples to predict the development classes of batch 1&2 samples based on their DS2 data from the same batch measurement as the training set.
The ability of the proposed method to suppress the inherent variation in the solubility caused by batch-to-batch parametric drift and handle the noise in post-batch measurements is demonstrated by applying the proposed parameter estimation and control method to a kinetic Monte Carlo (kMC) simulation model of a batch crystallization process used to produce hen-egg-white (HEW) lysozyme crystals.
These predetermined constituents reduce the risk of failure associated with drying shrinkage and inaccurate batching measurements [2].
