Descriptive statistics of outcomes at baseline, post-intervention, and follow-up and estimates of the linear mixed effects model for the outcomes. by Ana Beato (20489933)

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... by Teagan McMahon (20108036)

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional... by Teagan McMahon (20108036)

Detailed information of the observation datasets. by Weidong Ji (129916)

“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

Sociodemographic and employment baseline characteristics. by Beatriz Arregui-Gallego (21553735)

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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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Baseline comparison of posttraumatic stress symptomatology according to sociodemographic and occupational variables. by Beatriz Arregui-Gallego (21553735)

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Psychological and coping factors baseline characteristics. by Beatriz Arregui-Gallego (21553735)

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Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

Results of weighted arcsine-transformed linear regression of the age-and sex-standardised epilepsy prevalence (y) and age- and sex-standardised anti-Ov16 seroprevalence (x<sub>1</s... by Luís-Jorge Amaral (16406704)

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Linear mixed model results, fixed effects for time points, group, time points x group and univariate effects in the neck-specific exercise with internet support (NSEIT) group and t... by Anneli Peolsson (7867601)

Modeling the relationship between cancer level in hemolymph and MarBTN in tank eDNA. by Rachael M. Giersch (22331947)

Summary of the expected results with corresponding hypotheses. by Marcel F. Hinss (14675457)

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The Ishihara test for colourblindness [41] encompasses stimuli that can determine the degree and type of colourblindness a person has. by Marcel F. Hinss (14675457)

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The demographics questionnaire includes questions about age, education, gender and employment. by Marcel F. Hinss (14675457)

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