“highly significant”

as shown in Figure 8A , high risk score group revealed a highly significant difference in worse prognosis ( P < 0.0001).

The linear regression fitted to log length and number of oysters per sack was highly significant (adjusted r 2 = 0.93, F 58 = 809, p < 0.0001), and yielded the following predictive relationship between the number of oysters in a known volume and the mean oyster length: h = 10 (−0.3537 log b + 2.8361) , where h is SH (from umbo to growth edge) in millimetres, and b is the number of oysters in a 52.85 l volume (standard Louisiana sack).

In general I-PTH and Bio-PTH showed highly significant correlation (r = 0.952, p < 0.0001).

The test for trend across the time points showed that this increase was highly significant (p < 0.0001).

The first component explained the largest portion of the variance, accounting for 41.144% with an eigenvalue of 9.463224, and was highly significant (chi-square = 30699.3, p < 0.0001).

A two-way ANOVA revealed a very highly significant difference in cytotoxicity between GSE and GSE-TiO2NPs ( P < 0.0001 ) across all concentrations (Fig. 10 ).

Both APP mutations resulted in a highly significant reduction in sAPP total secretion ( p < 0.0001; Figures 2A,B ).

The second-order similarity (i.e., correlation between pairwise cosine similarity matrices) between the McRae norms and the CSLB norms is highly significant (Spearman rho; for all 415 items, rho = .624, p < .0001).

The main effect of ROIs was highly significant at the three thresholds ( F (5,233) = 18.99, p < 0.0001; F (5,201) = 12.80, p < 0.0001 and F (5,107) = 4.36, p < 0.0001), and interactions were observed between Age Group and ROIs in all but the most stringent threshold ( F (1,233) = 14.99, p = 0.0001; F (1,201) = 7.85, p = 0.006 and F (1,107) = 0.03, p = 0.864).

Comparing the two groups in a mixed model the blocking was highly significant (p < 0.0001) and a significant difference was present during all time points investigated.

A two-way ANOVA analysis showed that the ratio of activated carbon to AC-1 had a highly significant impact on the recovery rate of immobilized AC-1 strains over 120 days of storage ( F = 6.842, p < 0.0001), while the variance analysis results between the bacterial suspension and fermentation broth were significant ( F = 3.274, p < 0.01) ( Figure 1 ).

Caries was more prevalent in adolescents and adults compared to children, with a highly significant difference (p = 0.0001).

There were no significant effects of dropping the “treatment” × “stage” interaction ( χ 2 = 0.62, Δdf = 3, P = 0.89) nor of dropping “stage” ( χ 2 = 2.23, Δdf = 1, P = 0.14) but again dropping “treatment” had a highly significant effect upon model fit ( χ 2 = 48.52, Δdf = 3, P < 0.0001; Table 3 , experiment 2).

We observed a highly significant inverse correlation between these parameters with both Pearson’s and Spearman’s tests (r = −0.617 and r = −0.611, respectively; P <0.0001) (Figure 2 ).

Except for the physical summary score of the SF36 questionnaire, all the subjective scores indicated a highly significant ( P < 0.0001) improvement in the participants' ability to cope with stress.

Kaplan Meier analysis (Figure 3 a) showed the difference in DSS between risk groups to be highly significant (P = 0.0001, HR: 2.23 95 % CI: 1.46 to 3.50).

A highly significant regression ( R = 0.71, P < 0.0001) was detected between these two variables, justifying the use of ANCOVA.

The results show highly significant (P<0.0001) inputs on the outputs as the delta-PSI, MR, and the SN values according to the statistical significance (P, 2 tail) analysis, as seen before in the sensitivity analysis.

Similarly, post-treatment analysis revealed a highly significant correlation between the scores measured by two different questionnaires (Spearman coefficient 0.73, p < 0.0001).

teguina ( n = 24), the effect of body mass on dominant frequency was marginal ( F 1,23 4.7, P = 0.04), but highly significant for minimum frequency ( F 1,23 37.1, P <0.0001) and maximum frequency ( F 1,23 16.3, P = 0.0006).

Our results manifest a highly significant correlation between longer surgical durations (≥3 h) and elevated incidence rates of SSIs ( p < 0.0001).

For the PMHS, the KMO amounted to 0.955 and Bartlett’s Test of Sphericity was highly significant ( p < 0.0001).

There were highly significant differences (P < 0001) between the analysed mean Hg, As and turbidity levels and the permissible levels in surface water with the potential of affecting ecosystem services including water for drinking, water for recreational, water for irrigational, and water for aqua culture purposes.

Among the linear terms, only extraction time (X 2 ) was significant ( p < 0.0001), while all interaction (X1X2, X1X3, X2X3) and quadratic (X12, X22, X32) terms were highly significant ( p < 0.0001).

Nevertheless, important differences in plasma cytokine levels were observed in HAT patients as compared to endemic, uninfected controls, with highly significant differences (p<0.0001) for IL1β, IL2, IL4, and IL10 and to a lesser extent for INFγ (p = 0.01).