Excerpts

Differences were considered to be significant at P < 0.05 and highly significant at P < 0.01.

Finally, when comparing media professionalization within screens and within reality, in both cases we obtained highly significant statistical differences, p <0.01.

The mutant showed poorer siderophore activity than the WT ( Figs 4C ), the difference was highly significant (P < 0.01).

Between different soil nutrients and stoichiometry, the SOC, TN and TP had an extremely significant positive correlation ( P < 0.01), and the correlation with SOC and TN was closer.

Calcium concentration in MO flowers showed highly significant ( p < 0.01) positive correlation with the Ca, Cu, Mg, and Se concentration in MO immature pods.

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 .

Brucellosis herd transmission risk score Univariable ordinal analyses showed highly significant associations between the brucellosis herd transmission risk score with District and ‘Heard about human brucellosis’ (both P < 0.01).

Additionally, a moderately significant positive correlation was found between the proportion of whole grains and TIR (Est. = 12.19, p = 0.01, Table 4 ).

Statistical results were considered significant p < 0.05 (*) or highly significant p < 0.01 (**).

The coefficient of PRIVATEPERCE is positive and highly significant coefficient (0.002, p < 0.01) suggests that greater levels of privatization are associated with enhanced intellectual capital development.

The difference between DOXY+RIBA and DOXY alone was statistically insignificant (One Way ANOVA, P>0.05); while it was highly significant (One Way ANOVA, P< 0.01) compared to RIBA.

The KMO measure of 0.648 and a highly significant Bartlett’s test of sphericity (χ2 = 1027.199, p < 0.01) confirm the suitability of the data for factor analysis.

The coefficient (−0.60) of the error correction term E C T t − 1 is negative and highly significant (p < 0.01) ( Table 5 ).

Distribution of Bryophytes along Altitudinal Gradient A humped relationship between bryophyte species number and the elevation is clear below 3,650 m a.s.l., while an increasing trend of species number above 3,650 m a.s.l. were observed ( R = 0.605, P = 0.01 ).

Data are represented as the mean ± SD of triplicate independent experiments and statistically extremely significant differences compared with the negative control (** P < 0.01).

Inhibition of protein catabolism, possibly associated with increased protein synthesis, was quite significant (p>0.01) in D2 conditions, likely due to the action of insulin triggered by high glucose levels.

Correlation analyses Both the root biomass and shoot biomass showed a highly significant ( P < 0.01) positive correlation with the chlorophyll a content, chlorophyll b content, total chlorophyll content, carotenoid content, POD activity, SOD activity, CAT activity, and soluble protein content, while showed a highly significant ( P < 0.01) negative correlation with the MDA content ( Table 7 ).

The correlation between number of rosette leaves and final biomass was highly significant (r = 0.84, p<0.01), agreeing with the model that the plant's final size is largely determined by energy capture in the previous growing season [16] .

During 2020, a significant negative trend was found for RSV (β3 = -0.170, P <0.01), and a positive trend for HAdV (β3 = 0.075, P <0.01).

Two-tailed tests of significance were considered to be significant at a p-value <0.05 and highly significant at p <0.01.

Consistent with these findings, additional analysis (see S7 Table ) found that the association between age-disparate partnerships and transactional sex was highly significant within urban areas (aOR: 4.14; p<0.01; 95%CI: 2.03–8.46), but not significantly different within rural areas (aOR: 1.04; p = 0.92; 95%CI: 0.42–2.58).

A significant difference was observed in bacteria survival with a significant effect of species (ANOVA, p < 0.05) and a highly significant effect of rehydration (ANOVA, p < 0.01).

Response of tef yield to nutrient types under irrigation production system Both grain and biomass yields showed highly significant (p ≤ 0.01) differences among treatments at all experimental sites under the irrigation production system.

AMOVA indicated a high level of interspecific variation (fixation index, Фst = 0.94061) within the species complex and, according to Фst values, interspecific variation was highly significant (p<0.01) for all species pairs.

One-way ANOVA of the virus accumulation in the control and treatment groups were highly significant, ( P <0.01) for DWV ( F = 11.83, df = 23 P = 0.00234; Cohen’s d = 1.473107, large effect size), and ( P <0.001) for VDV-1 ( F = 17.95, df = 23.