The three selected models were compared using the AICc, Akaike weights (wi(AICc)) and ΔAICc (Table3). The analyses revealed that Model 3 is not only the most parsimonious of the three selected models, but has higherR2adjustedandFvalues (Table2), as well as a lower AIC and higher Akaik...
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First, the recorded concentrations of TIMP2 in tissues and biological fluids are much lower than the used concentrations in vitro experiments44. Second, TIMP2 is demonstrated to control cell fates through a proteolytic and a non-proteolytic mechanism44,48. In the non-proteolytic manner, TIMP2 ...
Next, we used the chi-square likelihood ratio test and Akaike’s information criterion (AIC) to test if the model that incorporated the grouping structure actually had a better fit to our data than the model without the grouping structure and included or ignored the grouping structure in all ...
The results of the hypothetical framework (confirmatory factor analysis) (the latent factors under study) indicated a close acceptable fit with the data (X2[999] = 2361.850, p < .000; RMSEA = 0.059 (95%CI = [0.056, 0.062]); CFI = 0.865; AIC = 47641.951). Speci...
Panel a. main effect of condition (craving>neutral) and b. main effect of time. 3.1.2. Main effect of time Several clusters in areas like the dorsolateral prefrontal (DLPFC), anterior insula cortex (AIC) and dorsal anterior cingulate cortex (dACC) show a negative main effect of time but ...
This research, for the first time, has uncovered that epicatechin can reverse the expression pattern of these miRNAs, potentially causing a cytostatic action at a lower concentration level.Various investigations have looked into apolipoprotein A-I (ApoA-I) as a potential marker for various forms of...
It has important implications for both sexes, because a genotype that produces a male phenotype with relatively high fitness (e.g. good food providers with low T producing heavy fledglings) will, on average, produce a phenotype with lower fitness when expressed in a female (worse food ...
Non-significant chi-squared statistics, higher GFI and AGFI (> 0.90), lower RMSEA (< 0.05), and lower AIC values indicated a good model fit. The significance level was set at p < 0.05; all statistical analyses were performed using R version 4.0.3, and path analysis was ...