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Previous studies have shown the difficulty to identify parameters predicting the outcome of COPD patients treated by invasive MV.
Several studies have shown the difficulty to identify clinical and functional parameters predicting the outcome of these COPD patients treated by invasive MV [ 3, 4].
4 Several studies have shown the difficulty to clearly correlate the sensitivity to L‐ASNase with any one parameter like ASNS in ALL, 4, 5, 6, 7 while ASNS mRNA levels correlate well with L‐ASNase sensitivity among Asn‐dependent NK cell tumor samples.
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Also, these examples show the difficulty to find an example where construction of a physically realizable least mean squares estimator is feasible.
It also shows the difficulty to identify factors with general significance acting on a very variable phenomenon, based on a study made one year in one region.
In the case of highly temporally correlated channel estimates, results showed the difficulty to reduce the error bounds, even for a large number of observations (high values of K) or when multiple antennas were used.
This agreed with other studies showing the difficulty to retrieve the monophyly of Plantae, even with much larger datasets (e.g., [ 66]).
That individuals in some patient subgroups differed about the importance of indicators, stresses the relevance of a tailor-made presentation approach for comparative healthcare information [ 16, 48], but also shows the difficulty to create this kind of information.
The comparisons with the predictions show the difficulties to estimate the fatigue life on structures presenting high stress gradient due to scale effects.
Results of the model simulation in open loop showed the difficulties to control the system, such as: strong interaction among the input and output variables, non linearity and inverse response.
Comparison of the data between rat and mouse have been made and showed the difficulties to compare the different zones of these two mammalians epididymis, even using similar microarray technology [ 20, 45].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com