Information about number of flights deleted during the pre-processing of the trajectory data, for June 28<sup><i>th</i></sup>, 2019.

Information about number of flights deleted during the pre-processing of the trajectory data, for June 28<sup><i>th</i></sup>, 2019.

<p>Information about number of flights deleted during the pre-processing of the trajectory data, for June 28<sup><i>th</i></sup>, 2019.</p>

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書目詳細資料
主要作者:	Raúl López-Martín (21386066) (author)
其他作者:	Massimiliano Zanin (340141) (author)
出版:	2025
主題:	Developmental Biology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified encompassing topics like develop new tools database may act 854 days spanning 708 network representations scale data set real data sets comparing aircraft positions data source scale structure many real world studies vast area study willing spreading processes processing trajectories pairwise fashion major enablers complex systems
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Graphical representation of the main components of the network of interactions in a single FIR for June 28<sup><i>th</i></sup>, 2019.
由: Raúl López-Martín (21386066)
出版: (2025)

Initial five rows from the interaction CSV file for executed trajectories of 2019-06-28. Distances are rounded to 10<sup>−3</sup>.
由: Raúl López-Martín (21386066)
出版: (2025)

Initial five rows from the metadata CSV file for executed trajectories of 2019-06-28. Distances and entropies are rounded to 10<sup>−3</sup>.
由: Raúl López-Martín (21386066)
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Structure of the CSV files with information about interactions.
由: Raúl López-Martín (21386066)
出版: (2025)

Flowchart of the trajectory pre-processing and interaction extraction.
由: Raúl López-Martín (21386066)
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Structure of the metadata CSV files.
由: Raúl López-Martín (21386066)
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Computational cost of the analyses.
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Evolution of daily network metrics as a function of the total distance flown.
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Topological properties of individual networks.
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Time series of complex networks measurements extracted from interactions for planned trajectories over the whole European airspace.
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Spatial and temporal distribution of interactions.
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Temporal snapshots of a simulated interaction network reconstruction.
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Transfer task (pre- and post-test) design and information alignment.
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The 60 leading crops cultivated in Brazil, the economic value of pollination (EVP) of the harvest in 2019 and the degree of pollination dependence. Information on the degree of cropland dependence on pollinators are sourced from Klein et al. (2007), much of which are reiterated in Roubik (2018)<sup>1</sup>; Giannini et al. (2015)<sup>2</sup>; Campbell et al. (2018)<sup>3</sup> and Dorneles <i>et al</i>. (2013)<sup>4.</sup>
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Functional enrichment analysis of the 28 DNB genes identified for ESCC.
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UMAP visualizations of extracted CD8<sup> + </sup> T and CD4<sup> + </sup> T cell barcodes, employed for downstream subsequent single-cell trajectory and classification analyses.
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Estimated total production value, economic value of pollination (EVP) for the entire country and within each biome domain. Values refer to the leading crops in the 2019 harvest. <sup>1</sup>Source: IBGE.
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Comparison of each accuracy metric (sensitivity, specificity, F1, and area under the curve for reporter operator curve (AUC ROC)) on each model. Models are defined by which assays were incorporated (i.e., HAI, IgG, and/or IgM). Bolded values represent the best performing model for the infection definition and metric of interest.
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Characteristics for Kamphaeng Phet cohort studies split by source (KPS1 and KFCS) as well as across the entire dataset. Information on age, hospitalization as well as serological assay results for RT-PCR, haemagglutination inhibition assay (HAI), and enzyme immunoassay (EIA) are presented.
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Acute and convalescent serological data from Thai cohorts used in this analyses, colored by true infections status and prediction of infection during model testing.
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Simulated serological data using serosim and subsequent results using the full mixture model on (a) HAI, (b) IgG and (c) IgM data with additional observational noise.
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Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.
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(A) Estimated intercept for titer boost when acute titers are initially low for each assay.
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Comparison between simulation based estimates for boosts in GM HAI, IgG, and IgM that is experienced after an infection event as a function of acute GM HAI, IgG, and IgM titers individuals under the varying levels of observational noise.
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Comparison of accuracy metrics (sensitivity, specificity, and AUC ROC) of each model defined by what subset of data was used for training and testing.
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Acute and convalescent data for serological assays, colored by probability of infection found during model testing for Model 9. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent sera samples.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by whether they are predicted as infections using Model 9.
由: Marco Hamins-Puértolas (15238661)
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Relationship between estimated probability of a dengue virus infection (DENV) found during model testing for Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent serum samples.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Distribution of paired serological data that fall into probability buckets when using Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Model comparisons for simulated data with differing amounts of observational noise.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Parameters found in Bayesian estimation framework, definition, and prior distribution.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Relative observational noise by assay and dataset.
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Parameters for forward simulation using serosim [38].
由: Marco Hamins-Puértolas (15238661)
出版: (2025)

Acute and convalescent data for serological assays, colored by probability of.
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出版: (2025)

Elevations of a 3D Model of the Pillar Tomb at Kua Ruins
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Elevations of a 3D Model of the Mosque 4 & 5 at Kua Ruins
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Elevations of a 3D Model of the Mosque 6 at Kua Ruins
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Elevations of a 3D Model of the Mosque 3 at Kua Ruins
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Elevations of a 3D Model of the Mosque 3 & Pillar Tomb at Kua Ruins
由: Heinz Rüther (6040169)
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