Barely Significant
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slightly significant

1,751 sentences · 1,751 papers · 2,126 search hits before verification · confirmed specimen

Sighted at

p=0.06p=0.09

Listed by Hankins, posted since · Hankins (2013) · Otte et al. (2022)

In the literature

Using the Akaike information criterion (AIC) the ARFIMA–FIAPARCH model under the Student distribution was adjudged to be the best model in the case of platinum returns although the ARCH-effect was slightly significant while using the Schwarz information criterion (SIC) the ARFIMA–FIAPARCH under the Normal Distribution outperforms all the other models.
Based on egg quality evaluation, we reported significant shell thickness in the CE, ESE, and CAF groups compared to the C+; yolk index was reported slightly significant results in the AE and CAF groups; albumen index and HU were reported to increase significantly in the CAF group.
3.3.2 Analysis of variance From the F distribution table, it was determined that F 1-0.05 (2, 2) = 19.00; F 1-0.01 (2, 2) = 99.00; F 1-0.1 (2, 2) = 9.00, and the road surface deflection was a characteristic of the road surface The indicators of overall stiffness and strength are shown in Table 19 , F B = 24.00>F 1-0.05 (2,2) = 19.0, F A = 10.00>F 1-0.1 (2,2) = 9.00, F C <F 1-0.1 (2, 2) = 9.00,factor B (basalt fiber reinforced the dense gradation asphalt concrete AC-20,BFAC-20) was significant, factor A (basalt fiber reinforced the gap-graded asphalt concrete SMA-16,BFSMA-16) was slightly significant, and factor C (basalt fiber reinforced asphalt-treated permeable base ATB-25,BFATB-25) had no effect on the test results; under the maximum shear stress index, In Table 19 , F C = 323.51>F 1-0.01 (2,2) = 99.00, F B = 127.61>F 1-0.01 (2,2) = 99.00, and F A <F 1-0.1 (2,2) = 9.00, Factor C (BFATB-25) was highly significant, factor B (BFAC-20) was slightly significant, and factor A (BFSMA-16) had no effect on the test results.
The respondents were asked to answer the following question: ‘In your opinion, to what extent does the use of digital technologies based on artificial intelligence in educational practices affect the development of key professional competencies of an English-speaking translator, such as linguistic, digital, technical, information, communication, special, business, personal.’ (degree of influence: not significant, slightly significant, significant) (see Appendix 2 ).