Excerpts

The Tables 5 , and 6 indicate highly significant discriminant function ( p < 0.01) with the values of Wilks’ Lambda, i.e. 0.328 and 0.388 for slum and non slum analysis respectively.

Highly significant correlations (**: P ≤ 0.01) were found between total plant height and leaf area (R = 0.95), dry grain yield and leaf area (R = 90), leaf area and the chlorophyll content (R = 0.70).

PB analysis revealed that solid–liquid ratio (X1), enzymatic hydrolysis time (X4), and ultrasonic time (X7) had highly significant effects on CIP yield ( p < 0.01), whereas enzyme ratio (X3) and pH (X5) did not exhibit significant main effects ( p > 0.05) within the tested operational ranges.

Similarly, highly significant relationships were observed between TH+ cell number and NeuN+ cell number in the ipsilateral SNc ( r = .932; p < 0.01) and TH+ fibre density in the striatum ( r = .943; p < 0.01).

* *on the bars indicate significant differences ( P <0.05) and *** indicate extremely significant differences ( P <0.01) between DSP and YY breeds.

According to the analysis variance ( Table 6 ), the effect of factor A on hydrolytic activity was highly significant ( p < 0.01), that of factor C was significant ( p < 0.05), and that of factor B was not significant ( p > 0.05).

The iAs and Mn coexposure group exhibited a clear trend of elevated IL-1β mRNA expression compared with the control group (p < 0.01, 0.001; see S3 Table, panel B and Fig 3B ).

Genes Related to Epigenetic Regulatory Mechanisms Regardless of treatment, a two-way ANOVA showed that the differences between hepatic and intestinal levels of expression of five target genes related to epigenetic regulatory mechanisms were statistically significant ( P <0.05) or highly significant ( P <0.01; P <0.001) ( Table 3 and S3 Table ), being in general higher in the intestine.

The gastrocnemius showed a highly significant difference in female athletes (P < 0.01, ES = 1.03).

The α-proteobacteria could be further classified into three dominant families (relative abundance >1%) of Hyphomicrobiaceae, Rhodospirillaceae, and Sphingomonadaceae ( Figure S1 ), among which the relative abundances of the first two families (1.84~4.98% and 1.03~3.68%) showed increasing trends with the increase in reclamation years, and they all showed highly significant positive correlations with SOC, DOC, TN, AN, NO 3 − -N, and AP ( p < 0.01) ( Figure S2 ).

The differences in infection intensity and rate between the lpg2 − and the WT were statistically highly significant ( P <0.01).

Significant differences were analyzed using one-way ANOVA and are presented as significant ( p < 0.05) and highly significant ( p < 0.01).

Statistically, these difference were highly significant for the numbers of affected lung lobes and lung-associated lymph nodes, as well as the lymph node, lung, and total pathology scores (P<0.01).

Although this difference was apparent at almost all time-points tested, it reached statistical significance at week 8 post-infection (P<0.01).

However if you grouped by UNOS 1 and 2 there was a significant trend (p = .01, r2 = .9 ) toward increase urgency the higher the CIT.

Differences were considered statistically significant at p < 0.05 and extremely significant at p < 0.01.

The reduction in EREFS at each evaluation, compared to the baseline EREFS at week 0 was shown to be highly significant ( p < 0.01) ( Figure 2 ).

Regarding the overall sample, the Spearman rank correlation proves a highly significant relation between the score of the Correction scale and the parameter value of the other validity scales or that of the Dissimulation Index, respectively (all p≤0.01 between the K- and the F-scale with correlation coefficient (r)=–0.51; between the L-scale and the F-scale with (r)=–0.29 and between the Dissimulation Index (F-K) and the F-scale with (r)=0.71).

Additionally, ALB levels exhibited an increasing trend in the ARNI group and were notably higher than at baseline after treatment in the ARNI group [37.5 ± 4.7 g/L vs. 39.3 ± 5.4 g/L, P < 0.01].

There were extremely significant difference between the two groups ( p < 0.01 ) in Se level and the activity of SOD, GSH-Px and CAT; but significant difference ( p < 0.05 ) between the two groups in the concentration of MDA (see Additional file 1 ).

Genes were only considered in the analysis of over-represented biological themes if the differential expression was highly significant ( P <0.01).

Concerning anger-in the differences were significant confirming that socially anxious individuals report moderate-sized higher levels of anger-in ( F = 35.687, p < 0.001, d = 0.59). Intercorrelations between study variables In the next step of analysis we calculated intercorrelations between our study variables in both groups (Table 2 and Table 3 ). Regarding individuals with SAD social anxiety (SPIN) showed highly significant correlations ( p < 0.01) with secure, preoccupied and fearful attachment style as well as state anger, trait anger, anger-in and depression.

All measures of MCA blood flow velocity showed a trend towards increase across days before IA infusion, whereas they were consistently reduced across days after the treatment (day x infusion interaction p < 0.01 for all measures; Fig 2 .

RESULTS Body weight comparison From week 15 to 29, a highly significant reduction (20.5%) of body weight was observed in S. haematobium eggs+BBN (36.3±7.2 g; P <0.01) and S. haematobium eggs+NDMA (11.6%) with weight loss (40.3±8.5 g; P <0.01) groups compared to the control group (45.6±8.3 g), also in NDMA group (42.7±9.1; P <0.01), and BBN group (42.2±7.3; P <0.01), but not in S. haematobium eggs group (43.4±9.7; P =0.12).

Repressed genes were involved in regulating processing, stability, and translation of RNAs, with “ribosome biogenesis,” “nucleosome organization,” and “RNA splicing” as highly significant ontology groups ( P < 0.01).