“highly significant”

Clinical parameters such as PI and CAL were highly significant in Group C ( P < 0.001).

The analysis revealed a highly significant group × time interaction ( F [1, 41] = 208.58, p < 0.001), indicating that the recovery trajectory of the IMT group was significantly superior to that of the control group.

For both disease-related traits, developmental stage had a highly significant and large effect (AUDPS: p < 0.001, η p 2 = 0.987; AUSIPS: p < 0.001, η p 2 = 0.967), with mature postbolting plants having significantly larger values for both variables ( post hoc sequential Bonferroni tests: p < 0.001), followed by bolting and juvenile prebolting, being equal for the two variables ( post hoc sequential Bonferroni tests: p ≥ 0.455).

Furthermore, the same model was applied jointly for DNH and Umbergaon (n = 140), which was overall highly significant (p ≤ 0.001).

In this case, the regression between the base 10 logarithm of the amount of copies per milliliter and the number of infected individuals is highly significant (Y = 1.24 (±0.13) + 0.08 (±0.01)X; r2 = 0.81; F 1,12 = 50.8; P < 0.001).

The initial DFA model, which included 14 characters measured from 137 scorpions, confirmed that morphological differences between the sexes were highly significant (Wilks’ Λ = 0.12, χ 2 = 266.87, df = 14, P < 0.001, canonical correlation = 0.936), with means for the discriminant function scores of-2.22 (range = -0.38 –-4.33) and 3.12 (range = 1.25–6.01) for females and males, respectively.

A highly significant correlation was observed between alteration in lesional AD and RD ( r = 0.88, P < 0.001) ( Fig. 2 ), indicating a concomitant rise of parallel and perpendicular diffusivity.

Rivaroxaban dose-dependently inhibited the TF-induced increase in TAT levels over a broad dose range (0.001–0.3 mg kg −1 ); the effect was highly significant at doses ≥ 0.03 mg kg −1 ( P < 0.001), with complete inhibition at 0.3 mg kg −1 rivaroxaban (Fig. 5 A).

The direct effect of PSP on RS was highly significant for females (Effect = 0.123, p <0.001) and marginally significant for males (Effect = 0.0538, p = 0.0505), and OB significantly predicted RS only in the female group.

In each case, posthoc comparisons showed that the deviation of preterm infants from full-term infants was larger and highly significant in nWM ( p < 0.001 for all parameters).

Paired t -test analysis demonstrated a highly significant difference between the two groups ( p < 0.001; Cohen’s dz = 1.62).

Differences in ITS sequences were highly significant among the three geographical regions ( F CT = 0.89, p < .001, AMOVA; Table 1 ), between populations within regions ( F SC = 0.98, p < .001), and among all populations ( F ST = 0.99, p < .001).

decomposition forest inoculation microorganism mineralization soil organic matter thermal adaptation National Natural Science Foundation of China 31470623 3.2 Changes in soil C mineralization and temperature sensitivity The treatment factors and interactions all had highly significant effects ( p < .001) on the daily R s and significant effects ( p < .05) on R cum (Table 2 ).

Therefore, the analysis of variance depicted that the attributes with a highly significant difference ( p < 0.001) were: “package size”, “lentils”, “rice”, “claim—low fat”, “claim—vegan”, “sunflower oil” and, “without oil”.

The estimate for sertraline was highly significant ( p < 0.001), meaning the null hypothesis can be rejected on the basis of the theoretical model.

A one-way ANOVA across the seven methods at ε = 2 cm confirmed that the differences among methods were highly significant (F = 8.9 × 10 4 , p < 10 −3 ), and the EB-HC-3D advantage over EB-HC corresponded to a very large effect size (Cohen’s d = 7.16).

Plant height The overall linear mixed-effects model (LMM) for the spring (Experiment 1) revealed a highly significant main effect of time on plant height (F(8, 360) = 523.91, p < 0.001), whereas the main effect of treatment was marginally non-significant (F(4, 45) = 2.37, p = 0.07).

p < 0.01→ highly significant. p < 0.001→ very highly significant. p > 0.05 → fail to reject the null hypothesis (not statistically significant—the difference could just be due to random variation).

Using a linear regression model employing age, serum folate, vitamin B12, gender and eGFR as independent and Hcy or MMA as dependent variables revealed a highly significant (p < 0.001) inverse relationship of both Hcy and MMA with eGFR.

Abnormal ejaculation was observed in 9.8% of patients in tamsulosin group and 1.6% of patients in tadalafil group with a highly significant difference ( P < 0.001) [ Table 3 ].

Specific comparisons between the Delta variants and other variants grouped as one were made and were highly significant ( p <0.001, data not shown) concerning those two variables.

Two-way ANOVA showed that the main effects of elevation on MBC, MBN, MBP, DOM, MNC, POC, and MAOC were not significant ( p > 0.05), whereas both cover treatment and the elevation × cover treatment interaction had highly significant effects ( p < 0.001).

The differences among these four groups were highly significant (one-way analysis of variance F = 18.73, p < 0.001, and eta-squared = 0.77; the Tukey HSD post hoc results are shown in Table 2 and Figure 3 B).

Highly significant differences were observed for all quadratic terms of the three factors ( p < 0.001), suggesting the existence of obvious nonlinear relationships.

A regression between centroid size and PC1 (from the PCA uncorrected for allometry) is highly significant ( r 2 = 0.80, p < 0.001, figure 2 c ).