Upwelling index series. by Antonio Bode (1473376)

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Upwelling index series. by Antonio Bode (1473376)

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Environmental variables and δ¹⁵N of <i>M. galloprovincialis</i> for the different zones in 2023. by Antonio Bode (1473376)

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Reference δ¹⁵N values of nitrate from different sources. by Antonio Bode (1473376)

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δ¹⁵N in <i>Fucus spiralis</i> vs. <i>F. vesiculosus.</i> by Antonio Bode (1473376)

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δ¹⁵N in <i>Fucus spp. vs. Bifurcaria bifurcata.</i> by Antonio Bode (1473376)

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Sampling locations. by Antonio Bode (1473376)

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Environmental variables and δ¹⁵N of <i>Fucus</i> spp. and <i>Mytilus galloprovincialis</i> averaged for sampling zones and upwelling periods. by Antonio Bode (1473376)

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Seasonality of δ¹⁵N in <i>Fucus spiralis.</i> by Antonio Bode (1473376)

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Multivariate linear regression analysis of scales. by Xiangyu Wang (341093)

Linear trends of the weekly total cost and cost components per capita for inpatients in the surgical group. by Chenxuan Zhu (22622476)

Scatterplot of observed barrier scores against knowledge scores (top) and confidence scores (bottom) with linear line of best fit. by Lisa Thiele (6468056)

Elevated concentrations of serum MMA among participants with decreased cognitive performance. by Yige Liu (11940344)

Principal Component Analysis (PCA) to illustrate the distribution of the significant lipid metabolites among the groups (NL, SS and MASH). by Laia Bertran (3685147)

ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

Differential Gene Expression Associated with Non-Alcoholic Fatty Liver Disease. by Jiyong Zhang (2498740)

Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”