“highly significant”

Comparative analysis with existing CGM methods reveals that our paper’s KNN model exhibits lower RMSE and MARD at 0.11 and 8.96%, respectively, and the fNIRS data were highly significant positive correlation with actual blood glucose levels ( r = 0.995, p < 0.000).

Of those who had perceived stress during the past month, almost half students (50.8%) had poor quality of sleep, which was highly significant statistically (x 2 = 27.303, p = 0.000) (Table 4 ).

A total of 82.4% of patients were stable or improved, with a very highly significant difference (P= 0.000).

There was a highly significant, positive linear correlation between the isokinetic peak torque of the right hamstrings and the isokinetic peak torque of the right quadriceps (r=0.848, p=0.000).

While the overlap of 735 genes is highly significant (fold enrichment = 6.9; p = 0), in both gene sets, there were also many significantly upregulated genes that were not identified by the other experiment (685 and 776 genes).

emotion elicitation film clips IAPS pictures media effects movies Negative stimuli—effects of stimulus condition and gender The ANOVA for negative stimuli suggested the stimulus condition main effect was highly significant, F (1.6,223.5) = 196.3, p < 0.000, partial η 2 = 0.589.

It is worth noting that the difference with the control group was highly significant with combo ( p = 0.000) (Fig. 2 C, Supplementary Table S3 ).

The difference in scores was highly significant according to the Mann-Whitney U test (p = 0.000).

A Kruskal-Wallis test indicated a highly significant difference among the four experimental groups (p = 0.000).

The between-group differences in coefficient variation are also highly significant (SS = 0.018, df = 1, MS = 0.018, F = 61.490, p = 0.000, η 2 = 0.400), whereas the within-group differences are relatively smaller (SS = 0.027, df = 94, MS = 0.000).

The correlation between FNA-Tg and FNA-TgAb was found to be highly significant (P = 0.000; Spearman correlation coefficient = 0.537) ( Figure 3 , Table 6 ). 4.

The results demonstrated that watering frequency and illumination had a significant positive effect (P=0.049, three-factor ANOVA) and a highly significant, complicated effect (P=0.000, three-factor ANOVA), respectively, on the plant density of bryophytes, and a highly significant positive effect on the chlorophyll a and exopolysaccharide contents (P=0.000, P=0.000; P=0.000, P=0.000; one-way ANOVA).

This study attempts to analyze this difference and uses it to devise and validate an equation by which one can estimate the correct distance. The results of our study demonstrate a very strong, highly significant linear relationship between predicted and actual values of X ( r = 0.97, P = 0.000).

Both of these changes were statistically highly significant ( P = 0.000).

The one-way ANOVA revealed a highly significant difference in microbial counts among the three control groups (p = 0.000, F = 1905.58).

This notion is in agreement with our data, where the regression analysis demonstrated a highly significant positive correlation between the galactose content and anti-cancer activity (R 2 = 0.58, p = 0.000 for B16F10 cell adhesion; R 2 = 0.95, p = 0.000 for anchorage-independent growth of HT-29 cells).

There was a highly significant correlation between the levels of HBV DNA in serum and the degree of expression of HBcAg in the nucleus for HBeAg-positive( p =0.000) and negative patients( p =0.04).

For the toy example, a highly significant result was obtained in step 1 (p-value = 0), thus, we proceeded with the grid search (Fig. 2b ) showing that the most frequently returned and therefore selected K -value is 2.

The statistical methods assumed a significance level of p < 0.05 and a highly significant level of p < 0.00.

In this study, the difference in hyperopia between both groups is highly significant with high hyperopic eyes representing 26% vs 8.6% for albino and non-albino groups, respectively (P=0.000) Wildsoet et al reported a range of refractive error in OCA patients from −10.50 D to +9.13D 2 and from −11.00D to +7.00D 23 in Bhari et al study.

The R-squared of 0.42 indicates that 42% of the variance in spa types is explained by the sample’s membership in either the meat or human category and that the differences observed when communities of stores and households are sorted on this factor is highly significant (p = 0.000).

In this study, the biomass regression model ( Table 5 ) was highly significant ( F =35.12; P =0.000) with an adjusted R 2 of 94.29%, indicating that only 5.71% of the variability in the response is not explainable by the model.

The analyses performed using the Mann–Kendall test for the proportion of TB/HIV coinfection among men ( Figure 13 a,b) revealed a highly significant upward trend ( p < 0.000).

Employing binary logistic regression to assess the association between various potential factors and vaccine acceptance, the study revealed that out of 10 predictors, ‘safety’ and ‘efficacy’ had highly significant positive associations with vaccine acceptance in both cohorts ( P = 0.000, P = 0.005) . ‘Political roles’ was found to have varied effects– a significant ( P = 0.02) negative and a significant positive ( P = 0.002) association with vaccine acceptance in PuU and PrU students, respectively.

A highly significant linear regression (P < 0.00) was found as PC1 = 5.2935-0.1179*LT.