Data for subjects with significant slopes (regional progression or recovery colour coded, non-significant regions white) for the 4 data types over the study period. by Faran Sabeti (6166766)

S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Va... by Sonsawan Sangprasert (22772538)

Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

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Estimated marginal means of the MF per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

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Significant interactions from mixed linear models of ECM colonization (Table 1). by Laura García de Jalón (8939456)

Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. by William C. Barley (8915282)

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The summarized graph for the values of the coefficients of significant linear trends. by Ekaterina Ivanova (230383)

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

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Effects of s-ketamine and midazolam on respiratory parameters. by Oscar F. C. van den Bosch (22184246)

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Flow chart of the study participants. by Oscar F. C. van den Bosch (22184246)

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Significant variation exists in patient encounters based on sociodemographic factors. by Han Ye (4673098)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Significant parameter level coding table. by Tao Chen (75911)

Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

The mean and standard deviation of outcome measures. by Soheila Qanbari (20455173)

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Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

Evolution of mean values of posttraumatic stress symptomatology according to sociodemographic and occupational variables from baseline to 12-month. by Beatriz Arregui-Gallego (21553735)

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Linear regression coefficients to explain IgG in different age groups. by Hiromi Yamaguchi (2396248)

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The source code of LazyAct. by Hongjie Zhang (136127)

“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”

Mean decrease Gini score by Tweet and user characteristics. by Gray Babbs (16648894)