“highly significant”

Compared to native mgR/mgR and Ad.hTIMP-1 treated WT aorta, the NI is highly significant greater in Ad.hTIMP-1 transduced mgR/mgR aorta (p = 0.001; p = 0.001).

An initial multivariate statistical analysis (perMANOVA) on fungal community structure related to compartments and sampling dates revealed highly significant differences between compartments (F = 0.29521, p = 0.001) and marginally significant differences between sampling dates (F = 0.21081, p = 0.052).

It indicated that there was highly significant association between the pain score and the length of occupational exposure ( P < .001), except for subjects with less then one year of job exposure.

Test contrasts (0.5–32%) showed a highly significant overall increase in heterogeneity for hit trials ( Figure 3c , paired t-test, p<0.001), but such modulations were absent for probe trials.

A 1-way ANOVA revealed a highly significant between-category difference ( F 2,81 =69.78; P< .001).

As expected, there was a highly significant main effect of tempo, with faster rates producing shorter ITIs [ F (2,100) = 9559.96, p < 0.001, η p 2 = 0.995].

Quality of life assessment Statistical analysis revealed a highly significant improved global health status after resection of benign liver tumor in our population (0.7 vs. 0.56, p < 0.001).

Group II exhibited a marked and highly significant decrease in immobility duration (*** p < 0.001), suggesting potent antidepressant‐like activity.

The average reduction was 59%, which was highly significant ( P < 0.001).

The results indicate that significant differences were found across all four variables (p < 0.01), with the following specific findings: Interior spatial design satisfaction: The differences among groups were highly significant (F = 437.234, p < 0.001).

We found that hMILAN , UICC-7 , vascular infiltration , and tumor grading were highly significant prognostic parameters ( χ 2 p < 0.001, Table 7 ), while neoadjuvant therapy and underlying diseases remained nonsignificant. 4.

The time of measurement and the treatment × time interaction were highly significant (monthly measurement: F 16,160 = 6.78, p < 0.001, treatment × time: F 16,160 = 3.36, p < 0.001), indicating that all populations were growing, and that there were time-dependent differences in growth rates in the inbred and outbred founded populations (see Figure 3 ).

Using the highly significant ( P ≤ 0.001) binding data [ 24 ], we calculated for each TF the pair-wise Pearson correlation coefficients among expression profiles of its target genes (i.e. the TF cohort).

Non-KPC strains (NDM/VIM/OXA-48; n = 48) showed lower resistance (<50%) to several agents and minimal resistance to tigecycline and CAZ-AVI (0–1.0%); resistance differences between KPC and non-KPC groups were highly significant ( p < 0.001).

Specifically, TNFSF4, TNFSF14, and IDO2 exhibited moderate significance (p < 0.01), while most others, including CD86, PDCD1, CTLA4, and TIGIT, showed highly significant differences (p < 0.001) ( Figure 8A ).

For males, these contrasts were highly significant (western lowland > Virunga, p < 0.001; Bwindi > Virunga, p < 0.001), while for females only western gorilla females were significantly longer than Virunga females (western lowland > Virunga, p < 0.05). 4.5.

Complete healing of the wounds receiving LLLT in combination with CoQ10 was highly significant on both days 13 and 15 compared with controls or wounds treated with LLLT or CoQ10 alone (p < 0.001), whereas no difference was found in the wounds treated with LLL alone, CoQ10 alone vs. sham treatment.

The difference between the two groups was highly significant (Mann-Whitney test, Z adj = 4.61, p < 0.001), thus showing that the silicon cover prevents olfactory detection and therefore learning.

Four-way ANOVA revealed highly significant interactions ( p < 0.001) with environmental condition as the dominant factor (partial η2 = 0.47).

All tests are two-sided; statistical significance was set at α = 0.05 (we denote p < 0.001 as highly significant).

Most of the genetic variation was between species (65.5% of the total genetic variation) and 24.9% within species, and all values were highly significant ( P < 0.001; Table 2 ).

Genetic diversity in the five European wildcat biogeographic groups The total genetic variability was significantly partitioned among the three cat subspecies ( ф ST = 0.159; F ST = 0.068; R ST = 0.392) and among the five European wildcats biogeographic groups ( ф ST = 0.103; F ST = 0.108; R ST = 0.143; AMOVA; all ф ST values highly significant with P < 0.001).

PTSS showed a highly significant change over time (F = 45.90, p <.001), indicating substantial variation across the three waves.

Cumulative N 2 O production, across the incubation, was controlled in majority by the applied moisture regime, which was highly significant ( p < 0.001) (Table 2 ).

3.3 Overall association between earthworm species and soil properties We observed a clear earthworm taxon–environment relationship, since the overall association between species and edaphic attributes was highly significant (RV coefficient = 0.194; p < 0.001).