A highly significant shift in the abundance of Enterobacteriaceae , from 0.047% to 2.454% ( p < 0.01), and Escherichia coli / Shigella was seen, although all dogs were healthy (Sandri et al., 2017 ).
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The coefficients ( X 1 , X 2 , X 3 ) and quadratic term coefficient ( X 2 2 ) were highly significant ( P <0.01); moreover, the interaction term coefficient ( X 2 X 3 ) was significant ( P <0.05).
The shear force value and intramuscular fat (IMF) content of meat samples increased with age, with the shear force value showing highly significant variation ( P < 0.01).
Moderately significant (P < 0.01) variations were also observed in the abundance of M0 macrophages and helper follicular T cells between the two groups.
The linear regression model to predict total earnings was not statistically significant (R 2 = 0.26, F(8,34) = 1.492, p = 0.2), but the auction price was a moderately significant predictor for higher total career earnings (β = 0.506, t(99) = 2.982, p < 0.01).
Differences were considered statistically significant at ∗P < 0.05, and highly significant at ∗∗P < 0.01, ∗∗∗P < 0.001, and nonsignificant differences were denoted as ns. 3.
Protein Extraction, Quantification, and Enzymatic Hydrolysis Based on the serum immune factor determinations ( Section 2.6 ), spleen tissue specimens from animals exhibiting highly significant inter-group differences in immune indicators ( p < 0.01) were selected for proteomic analysis ( n = 5 per group).
The overall pooled analysis, combining both designs, yielded a nominally significant result (RR = 0.45, 95% CI: 0.24–0.84; P = 0.01; I2 = 61%) ( Figure 3A ); however, this finding is driven entirely by the non-randomized studies and should be interpreted with caution given the lack of confirmation in RCTs and the methodological limitations of pooling disparate designs.
However, after an increasing trend since 2004, cervical SCC incidence rates decreased 6% annually from 2018 to 2023 (95% confidence interval [CI], −9.9 to −1.9; P < .01).
A highly significant difference was defined as P <0.01 (two-tailed). 3.
Differences were considered significant at P < 0.05 ( * ) or highly significant at P < 0.01 ( * * ).
the resistance was statistically highly significant against 7 antibiotics, p value<0.01 (Ampicillin, amoxicillin clavulanic acid, Cephalothin, Imipenem, Ciprofloxacin, Levofloxacin and Ofloxacin) while it was significant for 5 antibiotics with p value <0.05 (Piperacillin, Ticarcillin clavulanic acid, Cefepime, Ceftriaxon and Aztreonam), yet it was insignificant, p value >0.05 against 7 antibiotics (Cefotaxim, Ceftazidime, Gentamycin, Amikacin, Tetracycline, Nalidixic acid and Chloramphenicol).
A positive and moderately significant correlation was found between exercise health beliefs, happiness and quality of life (r=0.31–0.38, p<0.01).
Differences between groups were assessed with the Student’s t -test or by one-way analysis of variance and were considered statistically significant at P < 0.05 and highly significant at P < 0.01.
The mean interval between hospital admissions was 172 days for CD (approximately 5.7 months) vs 487 days for UC (approximately 16.2 months), a difference that was highly significant (p<0.01).
2 ) and the differences were highly significant ( p < 0.01).
Significance levels were defined as significant “*” at p ‐values of <0.05, highly significant “**” at p ‐values < 0.01, and extremely significant “***” with p ‐values < 0.001.
Sensory Attributes All the main factors (variety, location, and harvesting time) were highly significant ( P < 0.01) for all sensory traits, and the interactions between those factors were significant too.
Differences were considered significant when P < 0.05 and extremely significant when P < 0.01.
In Supplementary Tables S1–S4 , we considered differences as statistically significant for p < 0.05 and highly significant for p < 0.01.
A total of 46 VOCs showed significant ( p < 0.05) or highly significant ( p < 0.01) correlations with various climatic parameters.
Specifically, APP , TREM1 , PTEN , and LYVE1 showed extremely significant differences (p < 0.001), NFKB1 was highly significant (p < 0.01), and AHR was statistically significant (p < 0.05).
The overall stain- ing intensity between different tumours was compared by incorporating a standard positive tumour into each run and Statistical analysis (Table II) The Chi-squared test showed a highly significant correlation between positive p53 staining and allele loss at 17p13 (P<0.01).
Table 3 presents evidence that non-subsidized firms had a significantly higher exit rate (3.73%) compared to subsidized firms (2.41%), resulting in a mean difference of −1.38%, with a highly significant t-statistic of −7.05 (p < 0.01).
Cores originally from the lower site that spent 17 years at the upper site had very little temperature sensitivity ( Q 10 = 1.12; Fig 2 ); this effect was highly significant ( P = 0.010).