“a positive trend”

However, the average egg weight was significantly increased ( p < 0.05) during weeks 56–67, and a positive trend was observed during weeks 56–59 and 60–63 ( p < 0.1).

Specifically, there was a positive association between VMR SCC and RSQ SCC ( r = 0.21, p < 0.05) and a positive trend for VMR DC and RSQ DC ( r = 0.16, p < 0.10); unexpectedly VMR PCC and RSQ PCC did not show a significant correlation.

The analysis of the correlation between PGC-1α expression and morphology parameters i.e., both M/C ratio and cristae cross-sectional area revealed a positive trend ( r = 0.3, p = 0.1).

For GOHAI, while total scores showed a positive trend ( p < 0.10), the psychosocial domain was significantly superior in the intervention group at both 1 month (Adjusted p = 0.008) and 3 months (Adjusted p = 0.010) with a moderate effect size ( η p 2 ≈ 0.10).

Although not statistically significant, Correlation analysis indicated a positive trend toward increasing ESR with advancing age in both the healthy and disease groups (0.05 ≤ p < 0.10). 3.4.

For Zambia, no child development or parenting outcomes were statistically significant; however, a positive trend ( p < 0.1) was detected for telling the child stories (β = 0.65, 95% CI: −0.03–1.32, p = 0.06) and talking to the child during meals (β = 0.65, 95% CI: −0.07–1.37, p = 0.08).

Conversely, despite a positive trend, pre‐emptive analgesia did not bring about any significant benefits within the first six postoperative hours ( P = 0.1).

For ethnicity, Hispanic patients showed a positive trend (β = 0.02, p = 0.50), whereas non-Hispanic patients showed a negative trend (β = −0.005, p = 0.10).

In conjunction with the increasing flammable days, a positive trend (20.1 kha year −2 , P < 0.1) of burned area was found in human-ignited large fires (Fig. 3 c), ∼2.6 times larger than that of lightning-caused large fires (5.6 kha year −2 , P > 0.1).

Finally, for the measures related to medical decision-making, the DIGS-S had a significant, positive correlation with the PSDM ( r = .37, p < .001) and a positive trend with the API ( r = .13, p < .10).

Regarding lymphocytes and plasma cells, a positive trend was seen in the relationship between the amount of these cells and the presence of macrophages in the SupraSeal ® group ( r > 0.6, p < 0.1).

Model B3 combined both sets of predictors and explained the most variance overall (McFadden R 2 = 0.273); PLF Awareness retained a positive point estimate ( OR = 3.85, p < 0.05 under standard SE; p _robust = 0.153 under HC3) and being male showed a positive trend ( OR = 8.03, p < 0.10 under standard SE; p _robust = 0.303 under HC3) that did not survive HC3 adjustment.

(HIV DNA levels were not correlated between those 2 measurements, although a positive trend was evident [ Supplementary Figure 2 ] [ r = 0.41; P = .10]).

Only a positive trend on P2 latency in the apical electrode ( R = 0.3, p = 0.1) was observed.

A positive trend was also observed in semantic verbal fluency (SMD = 0.288, 95% CI [-0.033, 0.609], p = 0.10; small) and visuoconstruction (SMD = 0.378, 95% CI [-0.072, 0.829], p = 0.079; small).

Stratification by sex identified no significant differential changes in medial RUNX2, although males demonstrated a negative trend and females a positive trend after denervation (male: 0.13% ± 0.1% [denervated] vs 1.1% ± 0.7% [sham]; P = .10; female: 0.85% ± 0.3% [denervated] vs 0.23% ± 0.09% [sham]; P = .10) ( Fig 3 , G ).

Spearman’s rank correlations were positive between cows’ milk retinol and mothers’ blood retinol, where R = 0.43 ( n = 20, P = 0.05), between mothers’ blood retinol and mother’s milk retinol, where R = 0.24 ( n = 38, P = 0.01), between mothers’ milk retinol and infant blood retinol, where R = 0.49 ( n = 38, P = 0.001), and a positive trend between cows’ milk and mothers’ milk, where R = 0.48 ( n = 11, P = 0.1).

A positive trend was observed between the T-score and the energy absorbed by the soft tissues ( r = 0.55, p -value = 0.10) while a negative trend between the T-score and the fracture energy ( r = − 0.51, p -value = 0.30).

We, however, did not see a positive trend for OLs ( p = 0.1, rho = 0.50).

When evaluating their role as individual variables, HER3 resulted a significant negative predictor of OS time ( t = –2.54, p = 0.01), whereas HER4 showed a positive trend ( t = 1.53, p = 0.1).

No other correlations were significant (all p values > .10); however, the correlation of WMC with spatial cueing produced a positive trend, r = .224, p = .101, suggesting possible shared variance among feature cueing, spatial attention, and WMC.

Similarly, although hope showed a positive trend, it was not statistically significant in this model (OR = 1.073, p = 0.101).

Log 10 (SASHB) showed a positive trend with Gensini score ( r = 0.185, P = 0.101; Fig. 1 e), and patients with high SASHB (≥15 min%/h) had higher Gensini scores than those with low SASHB (<15 min%/h) (33.0 vs. 19.5, P = 0.040; Fig. 1 f).

For example, “protective” bacteria such as Clostridia vadinBB60 group showed a positive trend with the SI ratio (ρ = 0.394, p = 0.102), as well as significant positive associations with the surface area and ZO-1 (ρ ≤ 0.510, p ≤ 0.050).

A tendency toward a positive trend in adherence rates was identified in the period 2019–2021 among subjects with humerus or wrist (Supplementary Fig. 3 , panel b, test for trend p = 0.102) and vertebra (panel c, test for trend p = 0.602) index FFs, while the trend remained even more blunted among subjects with hip index FFs (panel d, test for trend p = 0.107).