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. …”

Passive sensing data. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

Surveys. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

Factors associated with the <i>SS</i> Positives. by Anuradha Rajamanickam (5278013)

“…<div><p><i>Strongyloides stercoralis (Ss)</i> is a parasitic infection affecting 50–100 million people globally, with significant immune and metabolic consequences, particularly in immunocompromised individuals. …”

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)

Mice in the NTC and MBC-005 treatment groups were evaluated for bioluminescent signaling at 6-, 13-, and 21-days after tumor inoculation. by Bryan S. Margulies (21492667)

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Inhibitor versus the normalized dose response curves. by Bryan S. Margulies (21492667)

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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)

Table 1_The development of the neurosurgery workforce in Austria over the past quarter century: is more always better?.xlsx by Mario Mischkulnig (11659318)

“…Growth in neurosurgeon density significantly outpaced both population growth (+ 14.3%) and the overall increase of specialist physicians (+ 77.4%, p = 0.001). …”