Differences in estimated marginal means of normalized inconsistency between trials for problem size 10. by Vladimír Bureš (592379)

“…The negative indicates a decrease in the inconsistency between trials.…”

Differences in estimated marginal means of normalized inconsistency between trials for problem size 6. by Vladimír Bureš (592379)

“…The negative mean difference indicates a decrease in the inconsistency between trials.…”

Differences in estimated marginal means of normalized inconsistency between trials for problem size 3. by Vladimír Bureš (592379)

“…The negative mean difference indicates a decrease in the inconsistency between trials.…”

Differences in estimated marginal means of normalized inconsistency between trials for problem size 5. by Vladimír Bureš (592379)

“…The negative mean difference indicates a decrease in the inconsistency between trials.…”

Significant changes in mean phase synchrony from WR to LOC in each frequency band. by Adam B. Barrett (232486)

Indian Summer Monsoon Rainfall: Implications of Contrasting Trends in the Spatial Variability of Means and Extremes by Subimal Ghosh (2849657)

“…The spatial variability of extremes is attributed to the spatial variability of the convective rainfall component. Contrarily, the decrease in spatial variability of the mean rainfall over India poses a pertinent research question on the applicability of large scale inter-basin water transfer by river inter-linking to address the spatial variability of available water in India. …”

Dominant negative Rac1 and Rac1 siRNA both decrease H₂S-promoted cell migration and tube formation in HUVECs. by Li-Jia Zhang (308411)

The half-life of CtrACC in <i>C</i>. <i>crescentus</i> is considerably shorter than the generation time. by Oliver Leicht (8755473)

“…<p>(A) Immunoblot showing decrease in the level of CtrA_CC in <i>C</i>. …”

Increasing temperature does not increase the sensitivity of hatching to pre-incubation with rotenone for 5 d under anoxia. by Joseph A. Covi (3131166)

Concentration-dependent effect of pre-exposure with rotenone (method No. 1). by Joseph A. Covi (3131166)

Centrality analysis in 2012 and 2018. by Shifeng Wu (16612230)

“…The results show that: (1) Beijing, as the overall core area, act as a prominent role. Beijing strengthens the attraction to the superior resources of the surrounding areas, but the network of MICE cities tends to be unbalanced. (2) Overall space forms a subgroup from a single independent subgroup to a subgroup that is spatially separated from each other and acts as an intermediary channel to connect each other, and the core region decreases from 3 to 2. …”

Influencing factors of MICE city attractiveness. by Shifeng Wu (16612230)

“…The results show that: (1) Beijing, as the overall core area, act as a prominent role. Beijing strengthens the attraction to the superior resources of the surrounding areas, but the network of MICE cities tends to be unbalanced. (2) Overall space forms a subgroup from a single independent subgroup to a subgroup that is spatially separated from each other and acts as an intermediary channel to connect each other, and the core region decreases from 3 to 2. …”

Fig 3 - by Kohei Harada (6179354)

Empirical results from the behavioural online experiment. by James A. R. Marshall (7444412)

“…<p>Decreasing reaction times as a function of the magnitude of the equal alternatives. …”

Time-dependent effects of pre-exposure to rotenone. by Joseph A. Covi (3131166)

Analysis of cohesive subgroups in 2012 and 2018. by Shifeng Wu (16612230)

Core-edge structure diagrams in 2012 and 2018. by Shifeng Wu (16612230)

Spatial distribution of regression coefficients of spatio-temporal geographically weighted model in 2012 and 2018. by Shifeng Wu (16612230)

Contact intensity of Beijing-Tianjin-Hebei MICE cities in 2012 and 2018. by Shifeng Wu (16612230)

Map of the study area (Beijing, Tianjin and Hebei, China). by Shifeng Wu (16612230)