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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Detaylı Bibliyografya
Yazar:	Raúl López-Martín (21386066) (author)
Diğer Yazarlar:	Massimiliano Zanin (340141) (author)
Baskı/Yayın Bilgisi:	2025
Konular:	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
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller

Graphical representation of the main components of the network of interactions in a single FIR for June 28<sup><i>th</i></sup>, 2019.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

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

Structure of the CSV files with information about interactions.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Flowchart of the trajectory pre-processing and interaction extraction.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Structure of the metadata CSV files.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Computational cost of the analyses.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Evolution of daily network metrics as a function of the total distance flown.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Topological properties of individual networks.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Time series of complex networks measurements extracted from interactions for planned trajectories over the whole European airspace.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Spatial and temporal distribution of interactions.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Temporal snapshots of a simulated interaction network reconstruction.
Yazar:: Raúl López-Martín (21386066)
Baskı/Yayın Bilgisi: (2025)

Transfer task (pre- and post-test) design and information alignment.
Yazar:: Denise Moerel (9080849)
Baskı/Yayın Bilgisi: (2025)

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>
Yazar:: Willams Oliveira (21442562)
Baskı/Yayın Bilgisi: (2025)

Functional enrichment analysis of the 28 DNB genes identified for ESCC.
Yazar:: Fatemeh Keikha (20917848)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Fatemeh Keikha (20917848)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Willams Oliveira (21442562)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Acute and convalescent serological data from Thai cohorts used in this analyses, colored by true infections status and prediction of infection during model testing.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

(A) Estimated intercept for titer boost when acute titers are initially low for each assay.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Comparison of accuracy metrics (sensitivity, specificity, and AUC ROC) of each model defined by what subset of data was used for training and testing.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by whether they are predicted as infections using Model 9.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (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.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Model comparisons for simulated data with differing amounts of observational noise.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Parameters found in Bayesian estimation framework, definition, and prior distribution.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Relative observational noise by assay and dataset.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Parameters for forward simulation using serosim [38].
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Acute and convalescent data for serological assays, colored by probability of.
Yazar:: Marco Hamins-Puértolas (15238661)
Baskı/Yayın Bilgisi: (2025)

Elevations of a 3D Model of the Pillar Tomb at Kua Ruins
Yazar:: Heinz Rüther (6040169)
Baskı/Yayın Bilgisi: (2025)

Elevations of a 3D Model of the Mosque 4 & 5 at Kua Ruins
Yazar:: Heinz Rüther (6040169)
Baskı/Yayın Bilgisi: (2025)

Elevations of a 3D Model of the Mosque 6 at Kua Ruins
Yazar:: Heinz Rüther (6040169)
Baskı/Yayın Bilgisi: (2025)

Elevations of a 3D Model of the Mosque 3 at Kua Ruins
Yazar:: Heinz Rüther (6040169)
Baskı/Yayın Bilgisi: (2025)

Elevations of a 3D Model of the Mosque 3 & Pillar Tomb at Kua Ruins
Yazar:: Heinz Rüther (6040169)
Baskı/Yayın Bilgisi: (2025)

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