“highly significant”

Cardiac function indicators post-intervention The LVEF notably increased to 54.11 ± 4.56% in the intervention group versus 51.85 ± 4.61% in the conventional group, with a highly significant P value of < 0.001.

The test yielded a highly significant result ( P < 0.001), confirming the presence of overdispersion and indicating that the negative binomial model provided a significantly better fit to the data.

Corresponding fungal RDA revealed even stronger explanatory power, as the first two axes accounted for 82.81% of fungal community variance (RDA1: 62.82%, RDA2: 19.99%) with a highly significant model fit (R 2 = 0.592, p = 0.001, F = 2.813).

The smooth term of the GAM was highly significant ( P < 0.001).

However, tryptophan inadequacy was significantly higher among female-headed households (17.4%) compared to male-headed households (13%), with a highly significant difference ( p < 0.001).

A highly significant association was found between atlanto-occipital assimilation and VA anomalies (100%, P < 0.001), with significant associations also for atlantoaxial dislocation ( P = 0.049) and os odontoideum ( P = 0.039).

A mixed-design ANOVA on the total efficacy score indicated a highly significant main effect of Time, F (1, 479) = 311.17, p < 0.001, η p 2 = 0.39.

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 ).

CLM-Net’s Kaplan-Meier curves again displayed a clear and consistent separation between the groups, with the log-rank test yielding a highly significant P value ( P <.001), confirming the model’s stability and discriminative power.

Near add power requirements decreased significantly in both groups, from 1.34 ± 0.33 DS to 0.95 ± 0.24 DS in Group A (29.7% reduction) and from 1.36 ± 0.38 DS to 0.84 ± 0.25 DS in Group B (37.8% reduction), with the between-group difference being 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.

Mandibular cortical index Chi-square analysis revealed a highly significant association between Mandibular Cortical Index (MCI) categories and study groups ( p < 0.001) (Table 2 ).

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.

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).

These coefficients were highly significant (all p<0.001).

However, chi-square analysis revealed highly significant regional disparities in the proportion of claims routed to verified centers ( p <.001 for all regions).

Logistic regression revealed a highly significant temporal trend ( p <.001) with substantial increases in female representation across decades.

The analysis revealed a highly significant effect of age ( LR (5) = 652.50, p < 0.001).

The analysis of chi-square test showed that the difference in the distribution of condylar shapes between the groups is very highly significant (Yates χ 2 = 43.069, df =3, P <0.001) and there was a clearly different pattern in the distribution of condylar shapes between the groups.

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).

Data was tabulated and statistical analysis was performed using SPSS software version 20.0. P-value less than 0.05 was considered significant while p-value less than 0.001 was considered as highly significant. p<0.001 for alteration in cholesterol (CHL) and low density lipoprotein (LDL) levels (one-way ANOVA), while p>0.05 for triglyceride (TG), high density lipoprotein (HDL) and very low density lipoprotein (VLDL) level alterations.

There was a highly significant difference ( p < 0.001) between inpatients and outpatients.

Type-III ANOVA identified highly significant main effects of grazing (F = 62.67, P < 0.001, partial η 2 = 0.68) and fertilization (F = 14.44, P < 0.001, partial η 2 = 0.49), with a moderate interaction effect (F = 4.00, P = 0.029, partial η 2 = 0.21; Supplementary Table 1 ).

Statistical significance was defined as p < 0.05 (significant), p < 0.01 (highly significant), and p < 0.001 (very highly significant). 3.