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The results showed that by means of the proposed cartridge, THP could significantly separate from the other structurally related compounds such as theobromine (THB) and caffeine (CAF).
Depending on the traits themselves, there is always going to be some sort of concern if numbers go into extremes or are significantly separate from the average-breed-EPD values.
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The response of the polymer films is significantly separated from that of the monomer species in solution.
As shown in Figure 1, the isolates from Spinifex littoreus (GenBank accession numbers of newly created LSU rDNA sequences JQ954465, JQ954463, KC920827, JQ954466, KC920828, KC920829) form a strongly supported clade which is significantly separated from sequences of other Sarocladium species.
Also, it is seen that the lowest peak corresponding to the ground bonding state in the cone-like structure is more significantly separated from other excited states than in two other structures.
Six of these clusters were very significantly separated from the others and could be divided into three pairs of antagonistic clusters.
In S. epigaea, only eL1 was significantly separated from eL2 and eL3, whereas in S. incrustans, all pairs of lineages had significant pairwise FST values and exact tests (Table 2a).
Moreover, the data from BZ and CZ neurons were clearly and significantly separated from each other (Fig. 4 G; 2-way analysis of variance on ranks followed by post hoc Tukey tests: P < 0.001 between BZ and CZ neurons for LTS bursts of 2 5 spikes, and P = 0.052 for LTS bursts of 6 spikes).
Employing miRNA array on 49 specimens from TNM stage II CRC patients, Schepeler et al (2008) showed a signature consisting of 4 miRNAs miR-142-3p miR-142-3p miR-142-3pd miR144) could significantly separate MSI from MSS tumours, with 92% sensitivity and 81% specificity.
A large amount of inter-individual variability was noted in the normal samples assessed for miR-150 and miR-923 expression which may account for the fact that they do not significantly separate the normal group from the disease groups.
At the univariate logistic regression analysis all MRI volumetric variables were able to significantly separate RRMS and HC (p ranging from 0.001 to 0.003), with NBV being able to best separate the two groups (accuracy 88%, Nagelkerke R2 = 0.84).
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