“extremely significant”

The EE of RJ-III@HACC-SLNs did not significantly decrease ( P > 0.05), that RJ-III@SLNs had an extremely significant decrease ( P < 0.001), during 3 h incubated in SGF.

Statistical difference was set at p < .05, very significant difference was defined as P < 0.01, and extremely significant was set as p < .001 Results and discussion Solubility studies and formulation determination The SNEDDS formulation was prepared to improve the solubility and bioavailability of drug upon oral administration.

Using all 70 markers, GAP prediction in Q × RX showed an extremely significant positive correlation ( p < 0.001), r = 0.4819; using the 8 screened PIC > 0.25 and HWE-conforming markers, the correlation increased to r = 0.5755 ( p < 0.001); using the 10 significantly associated markers yielded a further increase to r = 0.5766 ( p < 0.001), representing the highest prediction accuracy among the populations.

As shown in Table 2 , during the simulated gastric intestinal continuous digestion process, the protein hydrolysis degree (DH) of different protein sources showed extremely significant differences in both digestion stages ( p < 0.001).

10 The overall meta-analysis study was extremely significant with a P value < 0.001 with a pooled estimate of 7.987 and CI (5.334, 10.639), confirming the significance of the results and the presence of the real effect of the use of the particulate systems on the pharmacodynamic responses of the investigated drugs, as revealed by AUEC.

Significant ( p < 0.05), very significant ( p < 0.01), and extremely significant ( p < 0.001) statistical differences were observed between the GD and OMFS practitioner groups’ antibiotic prophylactic frequencies for medically compromised patients.

Interestingly, the relative abundance of Mesorhizobium in the LC 20 dose group was extremely significant different from that in the control group ( p ≤ 0.001), while the LC 50 dose group was significantly different from that in the control group ( p < 0.01). 3.3.

solani cells was significantly lower than the control group (P < 0.05) and an extremely significant difference (P < 0.001).

This qualitative impression is confirmed from the linear model fit and ANOVA results ( Table 1 A(i)), where it is seen that a) there is an extremely significant ( p < 0.001) change of D period with x for CTR b) a very significant ( p < 0.01) reduction in the D-period intercept (at x = 0) for CPL compared to CTR and c) no significant difference between the slopes ( p = 0.24).

GSEA performed to evaluate concordance in transcriptional profile between the n = 238 genes included in the commercially available endometrial receptivity array and the LH + 7 versus LH + 2 UF-EV comparison demonstrated an extremely significant and consistent enrichment, with a normalized enrichment score (NES)=9.38 ( P < 0.001) for transcripts up-regulated in LH + 7 in the commercial array and enriched in LH + 7 UF-EVs, and a NES = −5.40 ( P < 0.001) for transcripts down-regulated in LH + 7 in the commercial array and depleted in LH + 7 UF-EVs.

Differences were considered as statistically significant with p ≤ 0.05 (*), very significant with p ≤ 0.01 (**), and extremely significant with p ≤ 0.001 (***) or marked as non-significant (ns).

Triglyceride level was also decreased at 100 and 150 mg/kg doses; which is extremely significant ( P < 0.001).

The difference is denoted in four levels, significant *p< 0.05, highly significant **p< 0.01, extremely significant ***p< 0.001, and highly extremely significant ****p< 0.0001.TBtools ( Chen et al., 2020 ), SPSS22.0, and GraphPad Prism (GraphPad Prism 8; GraphPad) were used to analyze and plot the data.

p < 0.05 was considered as statistically significant (*), p < 0.01 was considered highly significant (**), and p < 0.001 was considered extremely significant (***).

As shown in Table 4 , the p -value of this experimental model is much less than 0.0001, indicating that this model has a high degree of significance (significant at p < 0.05, extremely significant at p < 0.001), and the lack of fit p = 0.1225 > 0.05 indicates that the experimental processes are nearly not affected by other unknown factors.

Effect on latency to onset of seizures The latency to seizure onset score revealed extremely significant ( P < 0.001) rise in mice of group III as compared with that of score observed in toxic control that received pilocarpine only.

Two-way analysis of variance (ANOVA) or Student's t test was used in the analysis indicated by the figure legends (*P < 0.05, significant; **P < 0.01, highly significant; ***P < 0.001, extremely significant).

Differences between groups were considered significant if * p < 0.05, highly significant if ** p < 0.01 and extremely significant if *** p < 0.001.

In the figures, “*” denotes significant differences ( p < 0.05), “***” denotes extremely significant differences ( p < 0.001), and “ns” indicates no significant difference. 3.

There was no significant difference in FAK expression, but p-FAK expression showed an extremely significant difference ( P < 0.001).

After post hoc testing, the following significance levels were specified: extremely significant ( p < 0.001), highly significant ( p < 0.01), significant ( p < 0.05), and not significant ( p > 0.05).

A total of 12 lines showed extremely significant ( p ≤ 0.001) and stable higher SOC than recurrent parent ‘Emian22’ (Additional file 12 : Table S11), and 15 QTL were detected to be related to SOC using BLUPed data; of these QTL, 12 were firstly characterized and only two QTL for SOC have been reported previously in an interspecific population (Table 3 ) [ 43 ].

Compared to the control group, the egg hatch rate of offspring produced by irradiated males showed an extremely significant reduction ( p < 0.001).

A p -value < 0.05 was considered to indicate a significant difference, a p -value < 0.01 was considered to indicate a highly significant difference and a p -value of < 0.001 indicated an extremely significant difference.

Analysis of variance revealed extremely significant differences ( p < 0.001) among the genotypes, environments, and genotype × environment interactions, which indicated that there was a significant interaction effect between the genotype and the environment on the BOR.