Excerpts

Dropping out and psychological consultation due to burnout showed highly significant associations with all burnout dimensions (p < 0.0001).

However, a strong and highly significant inverse correlation between percentage of Tregs and Tmax emerged (p<0.0001, r = −0.56) ( Figure 3a ).

Moreover, 40 subjects with samples from two subsequent years showed a highly significant (p<0.0001) increase in cathelicidin concentration from visit one to visit two.

Although differentiation among subgroups was highly significant (P<0.0001), 76.95% of total genetic variance was attributed to the difference within subgroups and 1.51% within individuals.

There was a highly significant correlation (P<0.0001) between rice content and inorganic arsenic concentration across all infant foods.

The group treated with VP2.51 from day 1 after treatment with L-BMAA (L-BMAA + VP2.51 PT1) ( S3 Movie ) presented highly significant differences in the evolution of the neurological evaluation from the group treated only with L-BMAA (F = 89.34, p <0.0001) ( Fig 3 ).

A highly significant relationship was found between the number of CDS they contained and the number of repeated CDS (r 2 Pearson = 0.87, p<0.0001 at 70% sequence similarity; r 2 Pearson = 0.82, p<0.0001 at 90% sequence similarity level).

The model was highly significant ( P < 0.0001) with a non-significant lack of fit ( P = 0.09 > 0.05), confirming the model’s reliability and predictive validity for process optimization.

The full factorial ANOVA was highly significant (F 59,660 = 43.082, p < 0.0001), with only the interaction between year and precipitation level being non-significant ( Table 3 ).

The random effects for feed and COM, the zero inflation parameter, and the square root concentration effect were all highly significant (p<0.0001).

The difference with control cells was highly significant (one-tailed Fisher’s exact test, p<0.0001).

Risk Group As shown in Table 3 , the main effect of risk group was highly significant [ F = 20.83; p < 0.0001], showing that HR subjects [2.96 (0.01)] manifested significantly lower theta power than their LR counterparts [3.10 (0.03)].

Cells expressing the control CYC1 3′UTR reporter showed little difference in the population mean fluorescence intensity (MFI) when Ssd1 was absent (0.87-fold change in expression in ssd1Δ compared to SSD1 ), while cells containing the test CTS1 3′UTR construct exhibited a nearly three-fold, highly significant increase (p<0.0001) in MFI in ssd1Δ cells compared to SSD1 cells ( Figure S1A ).

Further, subgroup analysis based on the different assessments of IADL showed a significant trend toward higher difficulty in IADL in studies that used self-reported assessment (OR = 2.07, 95% CI 1.72–2.49, p < 0.0001, I 2 = 97%, p < 0.0001) compared with studies that objectively assessed IADL (OR = 1.60, 95% CI 1.28–2.00, p < 0.0001, I 2 = 81%, p < 0.0001) (test for subgroup difference: Chi 2 = 3.05, p = 0.08) ( Fig 13 ).

We observed a highly significant correlation between genetic (Fst) and geographical distances (Mantel’s test, P-value < 0.0001, S3 Fig ) between populations (sites) of B. tabaci SSA1 SG1 U SG2 (this Mantel test was not performed on B. tabaci SG3 or SSA2 ∪ SSA3 due to low sample sizes).

A clear trend was apparent, as each concentration of C . pallidum caused a marked significant increase ( p < 0.0001 for all) in mineralisation level.

A highly significant decrease in RTP volume by median of 2.1 μl from 33.3 μl in the cold state to 31.2 μl after heating was measured (p<0.0001).

However, there was a highly significant intra-subject correlation between pre- and post-treatment irisin concentrations (R = 0.82, P<0.0001).

398 genes were shared between the groups, showing highly significant (p<0.0001, Chi-square test) enrichment of genes regulated by ΔNp63α re-expression among differentially expressed genes during EMT.

Similarly, the relationship between airway resistance and airflow into the lungs was highly significant, following a logarithmic curve (p<0.0001; Fig. 1C ).

Overall, an increasing trend in malaria positivity was observed from 2010 to 2012 (chi-square for trend = 663.55; P<0.0001).

All LLR values were positive and the difference from zero was highly significant ( p <0.0001), indicating that the power law provided the better fit to the data.

A highly significant correlation [r = .95 (p <.0001)] was observed for channel 4 ( Fig 6 ).

Prevalence among HC accounted for only 7% and the results were highly significant ( p <0.0001; Fig 1B ).

Distribution of δ 15 N and δ 13 C in the different age groups displays highly significant differences ( F (5, 405) = 8.21, p < 0.0001 and F (5, 405) = 5.06, p = 0.0002, respectively).