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The level of association between the PI and the study variables was determined using Chi-squared test for a confidence interval (CI) of 95%: (0 1.36) The bivariate analysis of the PI quality showed that of all variables, the ones with statistical significance were the number of diagnoses per prescription (95% CI: 0.1804 2.7424); p <0.000) and number of drugs (95% CI: 0.3085 3.8029); p <0.000).
Analysis of the Pi fraction (resin, NaHCO3-Pi, NaOH-Pi, and HCl-Pi) revealed that the major part of mineral phosphorus (66.6 89.7% of total mineral phosphorus) was composed of Al + Fe phosphates (extracted by NaOH-Pi) (Table 2).
To evaluate whether our genomic model is able to discriminate IPF patients from healthy individuals, we conducted the ROC analysis of the PI by plotting the true positive (sensitivity) versus false alarm (1-specificity).
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Through a detailed theoretical and spectroscopic analysis of the PIs we have shown that the phenomenon we discovered can be well rationalized by a number of crucial parameters, e.g., lifetime, transition energy, and oscillator strength of the photoinduced species.
For instance, it is possible that some glycolytic enzymes were not considered in this analysis because of the pI or the molecular weight ranges employed, comigration phenomena and problems of saturation staining.
An alternative model considered that the mitochondrial Pi carrier would form the PTP following its interaction with CyP-D and ANT [53]; however, this model still awaits genetic testing, while results obtained by patch-clamp analysis of the reconstituted Pi carrier do not match with electrophysiological PTP features.
We started with a detailed analysis of both the PI-103-sensitive cyclin D2-expressing MM1S line and the PI-103-resistant, cyclin D1-expressing KMS12-BM line.
Last, the analysis of the Int-PI dataset confirmed these outcomes.
The expression analysis of these Pi-responsive genes together with RSA analyses during Pi starvation on hydroponics demonstrate the high performance of our system for plant growing and for analyzing molecular responses to nutrimental deficiency.
Analysis and design of the PI observer are then discussed in detail.
First, we obtain preliminary results that are needed for the analysis of the average measure (pi _{t}^{M times N}).
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