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Two PLS regression models were constructed between metabolite levels in urine and HOMA-IR separately at day 1 and at day 15 (Table 4).
Two PLS models were built, regressing urinary MS data in all volunteers from protocol 1 (n = 47) as independent variables at day 1 or day 15 (X matrix) against HOMA-IR values at day 2 or day 16 (Y matrix) respectively.
In order to determine the enhancing effects of GAS6-mediated signaling on the activation of AXL and its downstream effectors in DDLPS and PLS, two DDLPS cell lines (Lipo-246 and Lipo-863) and two PLS cell lines (LiSa2 and PLS-1) were cultured in low-serum conditions overnight, followed by acute exposure to GAS6.
The SPLSγ metric is capable of quantifying the degree of similarity between two PLS models.
Polychromix method generator v. 3.101 R2-64 software was used to build two PLS regression models for the determination of pH and DP using the reference data as measured using the traditional methods described above.
For instance, in this study, there are only two dimensions in the data matrix consisting of age, the year at examination, and the year of birth; consequently, only two PLS components can be extracted from the three variables.
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In the PL spectrum from the as-deposited specimen, two PL bands can be resolved.
One can see two PL bands around 2.1 and 3.25 eV, associated with Si-based nanostructures.
Also, the energy separation between the two PL peaks (Fig. 5) is around 50 meV.
The mapping of the two PL bands reveals the distribution of defects induced along the track of ions.
PL spectra of the sample show two PL peaks, originating from the GaAs core NWs and the GaInAs MQW shells.
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