“highly significant”

Farmers Were Exposed to Prolonged Heat Stress and Agrochemicals Occupationally Farmers experienced the highest heat exposure (6 ± 1 h/d) compared with laborers (4 ± 0.5 h/d) and others (2 ± 1 h/d), with a highly significant difference ( P < 0.001).

The Kruskal-Wallis method was used to test the difference in utilization of laboratory investigations in different age groups and it was found that there were highly significant differences statistically among the age groups with respect to utilization of laboratory investigations (p = 0.001).

According to the results, there is a positive and highly significant impact of Job Security on Depression (β = 0.293; p <0.001) and Anxiety (β = 0.213; p = 0.001).

These differences between the two groups were highly significant (P<0.001).

SAC effects were highly significant (inclusion of column processes: χ 2 (df = 2) = 179.7, P < 0.001) and explained 36% of the variance ( Fig. 3B ).

In addition, there was a low-to-moderate significant difference when 0.05 ≥ p > 0.001 and a highly significant difference when p ≤ 0.001.

Ether extract digestibility exhibited a more complex pattern, with no significant linear effect but a highly significant quadratic effect ( p < 0.001). 3.3.

The results unambiguously support that perceived closeness reacts to the treatment manipulation: future managers feel closer to their fellow, with an average closeness equal to 3.96, than to subjects from the other school (3.09, the difference is highly significant, p < 0.001, according to paired-sample Wilcoxon rank sum test).

The difference in contact times between bendiocarb-powdered electrostatic netting (mean: 397.2 sec, median: 276.4 sec) and untreated netting (mean: 181.3 sec, median: 26.3 sec; Figure 9a ) was highly significant (p<0.001).

The results obtained were considered highly significant for P < 0.001, significant for P < 0.05 and insignificant for P > 0.05.

Statistical differences among groups were assessed by one-way ANOVA, with p < 0.05 considered statistically significant, p < 0.01 highly significant, and p < 0.001 extremely significant. 3 Results and discussion 3.1 Preparation and phase composition of Sr-Doped calcium silicate coatings This study employed sol-gel EPD to fabricate a strontium-doped calcium silicate (Sr-CaSiO 3 ) coating on a titanium substrate ( Figure 1 ).

The multiple logistic regression models showed highly significant P values for the likelihood ratio tests ( P < 0.001).

The wound contracting potential of animals treated with an ointment containing 0.5 percent (w/w) ethanolic extract on day 16 (94.33 ± 0.43) was found to be highly significant ( p < 0.001 ) compared to the control group.

The models used were highly significant with p <0.001 and had a predictive value between 0.114 and 0.311 according to Nagelkerke ( R 2 ).

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

Specifically, there were highly significant positive correlations between hypocotyl length and TPC as well as hypocotyl length and TIC ( p < 0.001), and a significant positive correlation was found between hypocotyl length and saponin content ( p < 0.05).

We observed a highly significant reduction of evoked EPSCs in burst firing neurons (to 45±6% of baseline levels, p<0.001; control: 374±21 pA vs.

Varietal differences were highly significant ( P < 0.001) for the majority of all parameters.

All factor loadings are highly significant and substantively large (e.g., Health Insurance Satisfaction → Perceived Coverage Quality: λ = 1 . 383 , z = 12 . 388 , p < 0 . 001 ; Cost-Driven Care Avoidance → Health Access Cost Experience: λ = 1 . 073 , z = 11 . 984 , p < 0 . 001 ), confirming reliable measurement of the latent dimensions.

The 3 × 3 ANOVA revealed a highly significant main effect for buildings, F (2, 99) = 19.175, p < 0.001, showing that there were overall differences in absolute elevator use between the different intervention buildings.

Statistically highly significant differences ( p < 0.001) were observed within the categories of HCPs comparing perception about COVID-19 between doctors versus MLSS, and nurses versus MLSS, not between doctors versus nurses.

These decreases were statistically highly significant as determined by One-way ANOVA analysis (P < 0.001).

The dosimetric gains associated with spacer implantation were highly significant (p<0.001) for most variables.

All path coefficients (direct effects), except between Psychological distress and Pain intensity ( p = 0.054), were highly significant (all other p -values <0.001).

This shift in the steatosis grade is highly significant in our population ( p <0·001) ( Fig. 1 C). 3.2.