Map showing the intervention and control LGAs. by Chinwe C. Eze (8787503)

“…However, post-intervention, the adjusted mean SARI Stigma Score significantly decreased in the intervention group compared to the control group, with an adjusted mean difference of 37.72 (95% CI: 36.01–39.43, p < 0.000).…”

Consort diagram. by Chinwe C. Eze (8787503)

“…However, post-intervention, the adjusted mean SARI Stigma Score significantly decreased in the intervention group compared to the control group, with an adjusted mean difference of 37.72 (95% CI: 36.01–39.43, p < 0.000).…”

Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

Modulation of performance during learning. by Daniel Ramandi (10047543)

“…(B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”

Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

“…This observation suggests that the myogenic response is potentially linearly potentiated with increasing WT; however, the decreased constriction ability of muscles in the sloped phase, is proven to be advantageous for the vasculature, as it prevents reduced blood flow in deeper layers at high ABNP values. …”

Balance test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Mechanism analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Endogenous test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Heterogeneity analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Robustness test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Baseline results of the impact of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

The influencing factors of RLM. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Variable definitions and basic statistics. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Contribution of individual models to the ensemble performance on the Lazzarotto <i>et al</i>. (2020) GUIDE-seq dataset. by Kai Kimata (22608153)

The percentage of studies that resulted in insect death increased over time. by Craig D. Perl (3326880)

“…There was a significant decrease in the proportion of studies reporting just invasive handling (without death) over time (linear regression; t_20,18 = 4.00, p = 0.001, R²= 0.44). …”

Study sample. by Nipaporn Butsing (19470003)

“…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”

Comparison of dot gain across paper types and screen frequency. by Xiaoli Liu (165371)

“…Dot gain curves for 133 lpi and 175 lpi show a consistent non-linear trend, rising to a maximum in the mid-tone range (40%–60% dot area) before decreasing. …”

Functional iKIR do not consistently modify detrimental genotypes. by Laura Mora-Bitria (20477525)

“…In the corresponding permutation test the p-value becomes even less significant (P <b>=</b> 0.19). We conclude that there is no evidence that detrimental class II drivers are modified by functional iKIR.…”

Comparison of DSIMC generating co-cultures in the second week of incubation on days 9, 12 and 14. by Nils Ågren (21474419)