Excerpts

There was a highly significant negative correlation between ADC-value and the Gleason score in the tumor-positive tissue probes ( n = 62, ρ = −0.405, P = .001).

The difference between the initial average (6.84 mm) and the follow-up average (8.16 mm) was contrasted using the Student’s t-test for repeated measures, resulting in a highly significant change ( p <0.001) accompanied by a significant effect size (0.793 mm).

Two items had strong loadings on care quality at the admission stage (i.e., their coefficients were highly significant): the provider encourages the companion to assist the delivery ( β = 0.62; p < 0.001) and the provider measures the woman’s temperature ( β = 0.66; p < 0.001).

In SOIL, Cr showed significant correlations with other HMs, except Ni and Pb ( p < 0.05), and Pb exhibited an extremely significant correlation with Cd ( p < 0.001, Figure 2 B).

Regarding the percentage of compressions with a correct depth, on the log odds ratio scale, there was a significant trend in the five last compressions before ventilation ( b = 0.0913), z = 269.030, p < 0.001, indicating that the percentage of compressions with a correct depth increased significantly with each compression before ventilation ( Figure 4B ).

However, sampling location was highly significant (p < 0.001) ( Table 2 ).

Statistical significance thresholds were established as follows: * P<0.05 (significant), ** P<0.01 (highly significant), and *** P<0.001 (extremely significant).

Furthermore, waterlogging duration had a highly significant ( P < 0.001) effect on root dry mass for all three genotypes ( Table 3 ).

Increasing maternal education attainment and maternal BMI were associated with a significant trend towards decreasing proportions of childhood stunting (p<0.001, respectively) and underweight (p<0.001, respectively), and increasing proportions of childhood overweight/obesity (p = 0.052 and p = 0.004, respectively).

To handle possible regression toward the mean biases, we also checked these changes with ANCOVA using the baseline value as a covariate; the cluster differences remained clearly significant ( P <0.001) for the changes related to both time points for NRS-7d, pain severity, pain interference, and life control.

Tuberculosis showed a highly significant association with granulomatous inflammation, present in 15 of 22 cases (68.2%) (χ 2 = 84.77, p < 0.001) and with caseous necrosis, seen in 20 of 22 cases (90.9%) (χ 2 = 102.14, p < 0.001).

Except for the factor loadings of the first indicator of each latent variable (e.g., PC1, IN1, CU1), which are set to a fixed value of 1.000 to achieve model recognition, the nonstandardized path coefficients of the remaining observed variables are statistically highly significant ( p < 0.001).

In Saudi females, six equations (hand and finger measurements) were all highly significant ( p < 0.001), with R values from 0.593 to 0.904.

(In none of the individual blocks of trials was this difference significant according to simple effects.) Across the 3 cohorts, there was a highly significant effect of trial block, with lower overall exploration levels (novel plus familiar) for the final block of trials, F (3, 168) = 37.6, p < .001 ( Figure 7 ).

Paired samples t‐test showed a highly significant difference ( p ≤ 0.001; N = 14) in the I. anglicana activity‐densities between the two summer periods.

The results show that age and sex do not have a statistically significant influence on ceramide levels, while the HAM-D score had a highly significant correlation with levels of ceramide ( p < 0.001).

On assessment of the unadjusted associations we selected 35 which were highly significant (P<0.001).

Tables 3 and 4 show statistically significant ( P < 0.05) or highly significant ( P < 0.001) associations between overall QoL and its domains with several sociodemographic and clinical variables, including age, education level, tumor size at diagnosis, income, health insurance, mastectomy, presence of metastases, cancer stage, and treatment type.

For each parameter, the pattern of results was remarkably similar across the two groups and the four experimental conditions, with a systematic, highly significant main effect of trial in each of the 16 plots (always p<0.001).

5, p = 0.010)], negative perception toward DD [schizophrenia (β = 0.43, p < 0.001), ASD (β = 0.38, p < 0.001), and ADHD (β = 0.40, p < 0.001)], the perception of the child psychiatrist of parents as being in opposition to the diagnosis [(schizophrenia: β = 0.48, p < 0.001; ASD: β = 0.23, p = 0.038, marginally significant after Bonferroni correction; ADHD: β = 0.35, p < 0.001)], and the presence of siblings with one of the three diagnoses in the patient's family [(schizophrenia: β = 0.46, p < 0.001; ASD: β = 0.28, p = 0.019, marginally significant; ADHD: β = 0.28, p = 0.009)].

In-hospital mortality rates for patients with hypertension, DM, LC, CKD, and malignancy were 25.5%, 25.2%, 34.5%, 28.0%, and 33.3%, respectively, showing a decreasing trend over time ( P < 0.001).

The association between this variable and motivation levels was highly significant [ χ 2 (16) = 105.58, p < 0.001, Cramér’s V = 0.14], supporting the hypothesis that ‘higher usage frequency leads to stronger learning motivation’, which aligns with the theoretical connotations of the “Relevance” and “Satisfaction” dimensions in the ARCS model.

Specifically, it demonstrated the largest and most highly significant positive predictive effect on both Social Responsibility ( β = 0.344, p < 0.001 ) and Prosocial Behavior ( β = 0.271, p < 0.001 ).

Before PCA was done, various assumptions on inter-correlations of the 25 DHI items were tested [ 17 ]: The Determinant has to be > 0.00001 and Bartlett's test highly significant (p < 0.001).

In particular, highly significant (P < 0.001) differences in both POD and CAT activities were observed between the two genotypes.