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“highly significant”

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p=0.09

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highly significantp<0.0010.0× alphaqualifiedgold
The correlation between measured and simulated FT4 values was highly significant (Spearman’s rho=0.882, p<0.001, see Figure 4 ). 3.3 Computer Aided Thyroid Treatment Framework The established mathematical model was implemented in software packages to perform numerical simulation studies.
highly significantp < 0.0010.0× alphaqualifiedgold
Model Validation and Extraction Efficiency The statistical robustness of the experimental design was validated via ANOVA, confirming that the second-order polynomial models for TPC, TFC, FRAP, and DPPH were highly significant ( p < 0.001) across all leaf morphologies and extraction techniques.
highly significantP < 0.0010.0× alphaqualifiedgold
On intergroup comparison, it was found that there was a statistically significant difference in terms of marginal adaptation ( P = 0.024) and retention ( P = 0.023), while a highly significant difference was observed in terms of surface texture and anatomic form ( P < 0.001) at the end of 1 year [ Table 1 ].
highly significantp ≤ 0.0010.0× alphaqualifiedgold
Incidence of Citrus Canker and Huanglongbing In regard to citrus canker incidence on harvested fruits, a highly significant ( p ≤ 0.001) interaction was observed between the 19 late-season sweet orange selections and the two assessed harvest seasons, 2020 and 2021 ( Table 8 ).
highly significantP < 0.0010.0× alphaqualifiedgold
Physicochemical Parameters There was a highly significant overall variation on dissolved oxygen ( F (6,56) = 33.85; P < 0.001) but not in temperature ( F (6,56) = 2.15; P > 0.05), pH ( F (6, 56) = 0.83; P > 0.05), and vertical transparency ( F (6, 56) = 0.47; P > 0.05) among the sampling sites (Tables 2 and 3 ).
highly significantp < 0.0010.0× alphaqualifiedgold
In the normal-flow subgroup, between-arm differences were pronounced and highly significant across all three outcomes: VSC (Δ −20.2 ± 33.2 standard vs. −55.1 ± 42.7 probiotic vs. −85.7 ± 34.0 zinc; p < 0.001), organoleptic (Δ −0.2 ± 0.7 vs. −0.9 ± 0.8 vs. −1.3 ± 0.8; p < 0.001), and HALT (Δ −11.4 ± 7.0 vs. −17.5 ± 7.0 vs. −22.8 ± 7.0; p < 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
Analysis of variance (ANOVA) showed that the quadratic regression models for both systems were highly significant ( p < 0.001), while the lack-of-fit terms were not significant ( p > 0.05), indicating good model fit and accurate prediction of interactions among multiple components.