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14. Memento: Localized Time‐Warping for Spatio‐Temporal Selection.

Author

Solteszova, V., Smit, N. N., Stoppel, S., Grüner, R., and Bruckner, S.

Subjects
SOUVENIRS (Keepsakes), TRANSFER functions, TIME travel, TIME series analysis
Abstract

Interaction techniques for temporal data are often focused on affecting the spatial aspects of the data, for instance through the use of transfer functions, camera navigation or clipping planes. However, the temporal aspect of the data interaction is often neglected. The temporal component is either visualized as individual time steps, an animation or a static summary over the temporal domain. When dealing with streaming data, these techniques are unable to cope with the task of re‐viewing an interesting local spatio‐temporal event, while continuing to observe the rest of the feed. We propose a novel technique that allows users to interactively specify areas of interest in the spatio‐temporal domain. By employing a time‐warp function, we are able to slow down time, freeze time or even travel back in time, around spatio‐temporal events of interest. The combination of such a (pre‐defined) time‐warp function and brushing directly in the data to select regions of interest allows for a detailed review of temporally and spatially localized events, while maintaining an overview of the global spatio‐temporal data. We demonstrate the utility of our technique with several usage scenarios. [ABSTRACT FROM AUTHOR]

Published
2020
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17. Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting

Author

Diehl, Alexandra, Pelorosso, L., Delrieux, Claudio Augusto, Saulo, Andrea Celeste, Ruiz, Juan Jose, Gröller, M. E., and Bruckner, S.

Subjects
Ciencias de la Computación e Información, Picture/image generation, Viewing algorithms, CIENCIAS NATURALES Y EXACTAS, Ciencias de la Computación
Abstract

Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a visualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose, we provide an interactive visualization interface that guides users from simple visual overviews to more advanced visualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an integrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram. Two key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The latter provides novel functionality that allows users to specify and search for meaningful patterns in the data. The visual interface of our solution allows users to detect both possible weather trends and errors in the weather forecast model. We illustrate the usage of our solution with a series of case studies that were designed and validated in collaboration with domain experts. Fil: Diehl, Alexandra. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina Fil: Pelorosso, L.. Universidad de Buenos Aires; Argentina Fil: Delrieux, Claudio Augusto. Universidad Nacional del Sur; Argentina Fil: Saulo, Andrea Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Gröller, M. E.. Vienna University of Technology; Austria Fil: Bruckner, S.. University Of Bergen; Noruega

Published
2015

23. Visualization and Quantification for Interactive Analysis of Neural Connectivity in Drosophila.

Author

Swoboda, N., Moosburner, J., Bruckner, S., Yu, J. Y., Dickson, B. J., and Bühler, K.

Subjects
DROSOPHILA genetics, NEURAL circuitry, VISUALIZATION, NEUROANATOMY, CONFOCAL microscopy
Abstract

Neurobiologists investigate the brain of the common fruit fly Drosophila melanogaster to discover neural circuits and link them to complex behaviour. Formulating new hypotheses about connectivity requires potential connectivity information between individual neurons, indicated by overlaps of arborizations of two or more neurons. As the number of higher order overlaps (i.e. overlaps of three or more arborizations) increases exponentially with the number of neurons under investigation, visualization is impeded by clutter and quantification becomes a burden. Existing solutions are restricted to visual or quantitative analysis of pairwise overlaps, as they rely on precomputed overlap data. We present a novel tool that complements existing methods for potential connectivity exploration by providing for the first time the possibility to compute and visualize higher order arborization overlaps on the fly and to interactively explore this information in both its spatial anatomical context and on a quantitative level. Qualitative evaluation by neuroscientists and non-experts demonstrated the utility and usability of the tool. [ABSTRACT FROM AUTHOR]

Published
2017
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26. Proinflammatory human 6-sulfo LacNAc-positive dendritic cells accumulate in intestinal acute graft-versus-host disease

Author

Sommer, U., primary, Larsson, B., additional, Tuve, S., additional, Wehner, R., additional, Zimmermann, N., additional, Kramer, M., additional, Kloss, A., additional, Gunther, C., additional, Babatz, J., additional, Schmelz, R., additional, Bruckner, S., additional, Schetelig, J., additional, Bornhauser, M., additional, Schakel, K., additional, Bachmann, M. P., additional, Aust, D., additional, Baretton, G., additional, and Schmitz, M., additional

Published
2014
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27. Diffractive jet production in deep-inelastic e+ p collisions at HERA

Author

Adloff, C, Andreev, V, Andrieu, B, Anthonis, T, Arkadov, V, Astvatsatourov, A, Ayyaz, I, Babaev, A, Bahr, J, Baranov, P, Barrelet, E, Bartel, S, Bate, P, Beglarian, A, Behnke, O, Beier, C, Belousov, A, Benisch, T, Berger, C, Berndt, T, Bizot, JC, Boudry, V, Braunschweig, W, Brisson, V, Broker, HB, Brown, DP, Bruckner, S, Bruel, P, Bruncko, D, Burger, J, Busser, FW, Bunyatyan, A, Burkhardt, H, Burrage, A, Buschhorn, G, Campbell, AJ, Cao, J, Carli, T, Caron, S, Chabert, E, Clarke, D, Clerbaux, B, Collard, C, Contreras, JG, Coppens, YR, Coughlan, JA, Cousinou, MC, Cox, BE, Cozzika, G, Cvach, J, Dainton, JB, Dau, WD, Daum, K, Davidsson, M, Delcourt, B, Delerue, N, Demirchyan, R, De Roeck, A, De Wolf, EA, Diaconu, C, Dixon, P, Dodonov, V, Dowell, JD, Droutskoi, A, Duprel, D, Eckerlin, G, Eckstein, D, Efremenko, V, Egli, S, Eichler, R, Eisele, F, Eisenhandler, E, Ellerbrock, M, Elsen, E, Erdmann, M, Erdmann, W, Faulkner, PJW, Favart, L, Fedotov, A, Felst, R, Ferencei, J, Ferron, S, Fleischer, M, Fleming, YH, Flugge, G, Fomenko, A, Foresti, I, Formanek, J, Foster, JM, Franke, G, Gabathuler, E, Gabathuler, K, Garvey, J, Gassner, J, Gayler, J, Gerhards, R, Ghazaryan, S, Goerlich, L, Gogitidze, N, Goldberg, M, Goodwin, C, Crab, C, Grassler, H, Greenshaw, T, Grindhammer, G, Hadig, T, Haidt, D, Hajduk, L, Haynes, WJ, Heinemann, B, Heinzelmann, G, Henderson, RCW, Hengstmann, S, Henschel, H, Heremans, N, Herrera, G, Herynek, I, Hildebrandt, M, Hilgers, M, Hiller, KH, Hladky, J, Hoting, P, Hoffmann, D, Horisberger, R, Hurling, S, Ibbotson, M, Issever, C, Jacquet, M, Jaffre, M, Janauschek, L, Jansen, DM, Janssen, X, Jemanov, V, Jonsson, L, Johnson, DP, Jones, MAS, Jung, A, Kastli, HK, Kant, D, Kapichine, I, Karlsson, M, Karschnick, O, Keil, F, Keller, N, Kennedy, J, Kenyon, IR, Kermiche, S, Kiesling, C, Kjellberg, P, Klein, M, Kleinwort, C, Knies, G, Koblitz, B, Kolya, SD, Korbel, V, Kostka, P, Kotelnikov, SK, Koutouev, R, Koutov, A, Krasny, MW, Krehbiel, R, Kroseberg, J, Kruger, K, Kupper, A, Kuhr, T, Kurca, T, Lahmann, R, Lamb, D, Landon, MPJ, Lange, W, Lastovicka, T, Laycock, P, Lebailly, E, Lebedev, A, Leissner, B, Lemrani, R, Lendermann, V, Levonian, S, Lindstroem, M, List, B, Lobodzinska, E, Lobodzinski, B, Loginov, A, Loktionova, N, Lubimov, V, Luders, S, Luke, D, Lytkin, L, Magnussen, N, Mahlke-Kruger, H, Malden, N, Malinovski, E, Malinovski, I, Maracek, R, Marage, P, Marks, J, Marshall, R, Martyn, HU, Martyniak, J, Maxfield, SJ, Mehta, A, Meier, K, Merkel, P, Meyer, AB, Meyer, H, Meyer, J, Meyer, PO, Mikocki, S, Milstead, D, Mkrtchyan, T, Mohr, R, Mohrdieck, S, Mondragon, MN, Moreau, F, Morozov, A, Morris, JV, Muller, K, Murin, P, Nagovizin, V, Naroska, B, Naumann, J, Naumann, T, Nellen, G, Newman, PR, Nicholls, TC, Niebergall, F, Niebuhr, C, Nix, O, Nowak, G, Nunnemann, T, Olsson, JE, Ozerov, D, Panassik, V, Pascaud, C, Patel, GD, Perez, E, Phillips, JP, Pitzl, D, Poschl, R, Potachnikova, I, Povh, B, Rabbertz, K, Radel, G, Rauschenberger, J, Reimer, P, Reisert, B, Reyna, D, Riess, S, Risler, C, Rizvi, E, Robmann, P, Roosen, K, Rostovtsev, A, Royon, C, Rusakov, S, Rybicki, K, Sankey, DPC, Scheins, J, Schilling, FP, Schleper, P, Schmidt, D, Schmitt, S, Schoeffel, L, Schoning, A, Schorner, T, Schroder, V, Schultz-Coulon, HC, Schwanenberger, C, Sedlak, K, Sefkow, F, Shekelyan, V, Sheviakov, I, Shtarkov, LN, Sievers, P, Sirois, Y, Sloan, T, Smirnov, P, Solochenko, V, Soloviev, Y, Spaskov, V, Specka, A, Spitzer, H, Stamen, R, Steinhart, J, Stella, B, Stellberger, A, Stiewe, J, Straumann, U, Struczinski, W, Swart, M, Tasevsky, M, Tchernyshov, V, Tchetchelnitski, S, Thompson, G, Thompson, PD, Tobien, N, Traynor, D, Truol, P, Tsipolitis, G, Tsurin, I, Turnau, J, Turney, JE, Tzamariudaki, E, Udluft, S, Usik, A, Valkar, S, Valkarova, A, Vallee, C, Van Mechelen, P, Vassiliev, S, Vazdik, Y, Vichnevski, A, Wacker, K, Wallny, R, Walter, T, Waugh, B, Weber, G, Weber, M, Wegener, D, Werner, M, White, G, Wiesand, S, Wilksen, T, Winde, M, Winter, GG, Wissing, C, Wobisch, M, Wollatz, H, Wunsch, E, Wyatt, AC, Zacek, H, Zalesak, J, Zhang, Z, Zhokin, A, Zomer, F, Zsembery, J, zur Nedden, M, Collaboration, H, Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), H1, H1 Collaboration, Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), and Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11)

Subjects
Physics, Particle physics, Photon, Luminosity (scattering theory), Physics and Astronomy (miscellaneous), 010308 nuclear & particles physics, Scattering, Hadron, FOS: Physical sciences, HERA, Jet (particle physics), 01 natural sciences, High Energy Physics - Experiment, Gluon, High Energy Physics - Experiment (hep-ex), 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Rapidity, High Energy Physics::Experiment, 010306 general physics, Engineering (miscellaneous)
Abstract

A measurement is presented of dijet and 3-jet cross sections in low-|t| diffractive deep-inelastic scattering interactions of the type ep -> eXY, where the system X is separated by a large rapidity gap from a low-mass baryonic system Y. Data taken with the H1 detector at HERA, corresponding to an integrated luminosity of 18.0 pb^(-1), are used to measure hadron level single and double differential cross sections for 44 GeV. The energy flow not attributed to jets is also investigated. The measurements are consistent with a factorising diffractive exchange with trajectory intercept close to 1.2 and tightly constrain the dominating diffractive gluon distribution. Viewed in terms of the diffractive scattering of partonic fluctuations of the photon, the data require the dominance of qqbarg over qqbar states. Soft colour neutralisation models in their present form cannot simultaneously reproduce the shapes and the normalisations of the differential cross sections. Models based on 2-gluon exchange are able to reproduce the shapes of the cross sections at low x_pom values., Comment: 35 pages, 12 figures, 7 tables

Published
2001

28. ViviSection: Skeleton-based Volume Editing

Author

Karimov, A., primary, Mistelbauer, G., additional, Schmidt, J., additional, Mindek, P., additional, Schmidt, E., additional, Sharipov, T., additional, Bruckner, S., additional, and Gröller, E., additional

Published
2013
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30. Development of a 'Decision Support Tool' (DST) for the pork supply chain

Author

Kreyenschmidt, J., Aabo, Søren, Bruckner, S., Christensen, Bjarke Bak, Gkisakis, V., Hansen, T. B., Kampmann, Y., Lettmann, T., Raab, V., van Beek, P., Petersen, B., Kreyenschmidt, J., Aabo, Søren, Bruckner, S., Christensen, Bjarke Bak, Gkisakis, V., Hansen, T. B., Kampmann, Y., Lettmann, T., Raab, V., van Beek, P., and Petersen, B.

Published
2007

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