Statistica software version 7

Descriptive statistics are reported as mean ± SD for normally distributed continuous variables, or medians with 25th to 75th percentiles in the case of skewed distribution. Normality of distribution was tested by means of the nonparametric Kolmogorov‐Smirnov test. Differences between mean data were compared by means of a t test for Gaussian variables, using the F‐test to check the hypothesis of equality of variance. The Mann‐Whitney non‐parametric test was used to compare non‐Gaussian variables. Differences in proportions were compared by applying χ² analysis or Fisher's exact test, as appropriate. Odds ratios (ORs) with corresponding 95% confidence intervals (CIs) are reported. The cumulative probability of HF or death was displayed by the method of Kaplan‐Meier, and the log‐rank test was used to compare cumulative events. Hazard ratios (HRs) and their 95% CIs were computed by means of a Cox regression model, in which risk‐group variables were fixed covariates and deaths or cardiovascular hospitalizations were time‐dependent covariates. A two‐sided P‐value <.05 was considered statistically significant for single tests. All statistical analyses were performed by means of STATISTICA software, version 7.1 (StatSoft, Inc., Tulsa, OK).

Descriptive statistics are reported as means ± SD for normally distributed continuous variables, or medians with 25th to 75th percentiles in the case of skewed distribution. Normality of distribution was tested by means of the non-parametric Kolmogorov–Smirnov test. Differences between mean data were compared by means of a t-test for Gaussian variables, and the F-test was used to check the hypothesis of equality of variance. The Mann–Whitney non-parametric test was used to compare non-Gaussian variables. Differences in proportions were compared by applying χ² analysis or Fisher’s exact test, as appropriate. A p-value < 0.05 was considered significant for all tests. All statistical analyses were performed by means of STATISTICA software, version 7.1 (StatSoft, Inc., Tulsa, OK, USA).

The statistical analyses were performed using STATISTICA software version 7.1 (StatSoft, France). The assumption of data normality and homogeneity was assessed using Kolmogorov-Smirnov and Levene tests, respectively. Behavioral performance on the RNG task (Adjacency score) was analyzed with a 2 (group: high-fit vs. low-fit) × 2 (pace: fast vs. slow) ANOVA with group as a between-subject factor and pace as a within-subject factor with repeated measures. For each of the hemodynamic measures, Δ[HbO₂] and Δ[HHb], separate 2 (group: high-fit vs. low-fit) × 2 (task: RNG task vs. CNT task) × 2 (hemisphere: right vs. left) × 2 (pace: fast vs. slow) ANOVAs were performed, with group as a between-subject factor and task, hemisphere, and pace as within-subject factors with repeated measures. Mean comparisons were performed using Tukey’s HSD corrections for multiple comparisons. Finally, the relationships between executive performance, VO₂max level and hemodynamic measures were examined using partial correlation analyses. All data are expressed as the mean ± SD. The level of significance was set at p < 0.05. Partial estimated effect sizes ( ${\eta }_p^2$ ) were reported for significant results.

Plant roots and residues, soil agrochemical properties data were subjected to a three-way analysis of variance (location, floral sward strips and soil layer) (ANOVA), whereas plant aboveground biomass and soil physical properties data were subjected to a two-way analysis of variance (location, floral sward strips). Before analysis, the datasets were checked for normality (Shapiro–Wilk test) and homogeneity of variance (Levene test). Three-way ANOVA was performed considering the following factors: location (Joniškėlis and Akademija), sward strips (PGS, PLS, AFP, NGS) and winter wheat, and soil layer (0–25 and 25–50 cm). Significant differences between factors and interactions were determined using the F-test at p < 0.05 and p < 0.01 probability levels. Significantly differences in data were calculated using Tukey’s studentized range test at p < 0.05, where means with the same letter were not significantly different. Standard error (SE) of the mean was used to represent error values and error bars. Individual correlations between SOC and plant root and residues mass were analyzed using Pearson correlations at the p < 0.05 and p < 0.01 confidence levels. Statistical analyses were performed using Statistica software, version 7.1 (StatSoft Inc., Tulsa, OK, USA) and Addinsoft XLSTAT 2022 (Long Island, NY, USA).

Descriptive statistics are reported as means ± SD. Categorical variables are reported as percentages. Differences between mean data were compared by means of a t test for Gaussian variables, and by the Mann‐Whitney non‐parametric test for non‐Gaussian variables. Differences in proportions were compared by means of χ² analysis or Fisher's exact test, as appropriate. Logistic regression analysis was used to determine the association between successful conversion at the first shock and clinical characteristics and implantation variables and to estimate the odds ratios and the 95% confidence intervals. A P value <.05 was considered significant for all tests. All statistical analyses were performed by means of STATISTICA software, version 7.1 (StatSoft, Inc, Tulsa, Oklahoma).

Values were expressed as mean ± SD from three independent experiments (adhesion of L. pneumophila to differentiated THP-1 cells and A. castellanii). The results were statistically evaluated using the Mann-Whitney U test (STATISTICA software version 7.1, StatSoft Inc., Tulsa, OK, United States). P values of ≤0.05 were considered significant.