[{"article_number":"A38","status":"public","abstract":[{"text":"Asteroseismology provides global stellar parameters such as masses, radii, or surface gravities using mean global seismic parameters and effective temperature for thousands of low-mass stars (0.8 M⊙ < M < 3 M⊙). This methodology has been successfully applied to stars in which acoustic modes excited by turbulent convection are measured. Other methods such as the Flicker technique can also be used to determine stellar surface gravities, but only works for log g above 2.5 dex. In this work, we present a new metric called FliPer (Flicker in spectral power density, in opposition to the standard Flicker measurement which is computed in the time domain); it is able to extend the range for which reliable surface gravities can be obtained (0.1 < log g < 4.6 dex) without performing any seismic analysis for stars brighter than Kp < 14. FliPer takes into account the average variability of a star measured in the power density spectrum in a given range of frequencies. However, FliPer values calculated on several ranges of frequency are required to better characterize a star. Using a large set of asteroseismic targets it is possible to calibrate the behavior of surface gravity with FliPer through machine learning. This calibration made with a random forest regressor covers a wide range of surface gravities from main-sequence stars to subgiants and red giants, with very small uncertainties from 0.04 to 0.1 dex. FliPer values can be inserted in automatic global seismic pipelines to either give an estimation of the stellar surface gravity or to assess the quality of the seismic results by detecting any outliers in the obtained νmax values. FliPer also constrains the surface gravities of main-sequence dwarfs using only long-cadence data for which the Nyquist frequency is too low to measure the acoustic-mode properties.","lang":"eng"}],"extern":"1","keyword":["Space and Planetary Science","Astronomy and Astrophysics","asteroseismology / methods","data analysis / stars","oscillations"],"intvolume":"       620","citation":{"short":"L.A. Bugnet, R.A. García, G.R. Davies, S. Mathur, E. Corsaro, O.J. Hall, B.M. Rendle, Astronomy &#38; Astrophysics 620 (2018).","ama":"Bugnet LA, García RA, Davies GR, et al. FliPer: A global measure of power density to estimate surface gravities of main-sequence solar-like stars and red giants. <i>Astronomy &#38; Astrophysics</i>. 2018;620. doi:<a href=\"https://doi.org/10.1051/0004-6361/201833106\">10.1051/0004-6361/201833106</a>","apa":"Bugnet, L. A., García, R. A., Davies, G. R., Mathur, S., Corsaro, E., Hall, O. J., &#38; Rendle, B. M. (2018). FliPer: A global measure of power density to estimate surface gravities of main-sequence solar-like stars and red giants. <i>Astronomy &#38; Astrophysics</i>. EDP Sciences. <a href=\"https://doi.org/10.1051/0004-6361/201833106\">https://doi.org/10.1051/0004-6361/201833106</a>","ista":"Bugnet LA, García RA, Davies GR, Mathur S, Corsaro E, Hall OJ, Rendle BM. 2018. FliPer: A global measure of power density to estimate surface gravities of main-sequence solar-like stars and red giants. Astronomy &#38; Astrophysics. 620, A38.","chicago":"Bugnet, Lisa Annabelle, R. A. García, G. R. Davies, S. Mathur, E. Corsaro, O. J. Hall, and B. M. Rendle. “FliPer: A Global Measure of Power Density to Estimate Surface Gravities of Main-Sequence Solar-like Stars and Red Giants.” <i>Astronomy &#38; Astrophysics</i>. EDP Sciences, 2018. <a href=\"https://doi.org/10.1051/0004-6361/201833106\">https://doi.org/10.1051/0004-6361/201833106</a>.","ieee":"L. A. Bugnet <i>et al.</i>, “FliPer: A global measure of power density to estimate surface gravities of main-sequence solar-like stars and red giants,” <i>Astronomy &#38; Astrophysics</i>, vol. 620. EDP Sciences, 2018.","mla":"Bugnet, Lisa Annabelle, et al. “FliPer: A Global Measure of Power Density to Estimate Surface Gravities of Main-Sequence Solar-like Stars and Red Giants.” <i>Astronomy &#38; Astrophysics</i>, vol. 620, A38, EDP Sciences, 2018, doi:<a href=\"https://doi.org/10.1051/0004-6361/201833106\">10.1051/0004-6361/201833106</a>."},"day":"01","title":"FliPer: A global measure of power density to estimate surface gravities of main-sequence solar-like stars and red giants","oa":1,"publication_status":"published","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"12","_id":"11618","acknowledgement":"We thank the anonymous referee for the very useful comments. We would also like to thank M. Benbakoura for his help in analyzing the light curves of several binary systems included in our set of stars. L.B. and R.A.G. acknowledge the support from PLATO and GOLF CNES grants. S.M. acknowledges support from the National Aeronautics and Space Administration under Grant NNX15AF13G, the National Science Foundation grant AST-1411685, and the Ramon y Cajal fellowship no. RYC-2015-17697. E.C. is funded by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 664931. O.J.H and B.M.R. acknowledge the support of the UK Science and Technology Facilities Council (STFC). Funding for the Stellar Astrophysics Centre is provided by the Danish National Research Foundation (Grant DNRF106). This research has made use of NASA’s Astrophysics Data System. Data presented in this paper were obtained from the Mikulski Archive for Space Telescopes (MAST). STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555.","volume":620,"quality_controlled":"1","year":"2018","date_created":"2022-07-18T14:37:39Z","date_updated":"2022-08-22T07:41:07Z","publication_identifier":{"eissn":["1432-0746"],"issn":["0004-6361"]},"scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1809.05105"}],"article_processing_charge":"No","arxiv":1,"language":[{"iso":"eng"}],"type":"journal_article","doi":"10.1051/0004-6361/201833106","publisher":"EDP Sciences","publication":"Astronomy & Astrophysics","author":[{"orcid":"0000-0003-0142-4000","id":"d9edb345-f866-11ec-9b37-d119b5234501","last_name":"Bugnet","full_name":"Bugnet, Lisa Annabelle","first_name":"Lisa Annabelle"},{"last_name":"García","full_name":"García, R. A.","first_name":"R. A."},{"last_name":"Davies","first_name":"G. R.","full_name":"Davies, G. R."},{"first_name":"S.","full_name":"Mathur, S.","last_name":"Mathur"},{"last_name":"Corsaro","full_name":"Corsaro, E.","first_name":"E."},{"first_name":"O. J.","full_name":"Hall, O. J.","last_name":"Hall"},{"last_name":"Rendle","full_name":"Rendle, B. M.","first_name":"B. M."}],"oa_version":"Preprint","external_id":{"arxiv":["1809.05105"]},"date_published":"2018-12-01T00:00:00Z"},{"date_updated":"2022-08-22T08:41:55Z","year":"2018","date_created":"2022-07-21T07:05:23Z","abstract":[{"text":"The recently launched NASA Transiting Exoplanet Survey Satellite (TESS) mission is going to collect lightcurves for a few hundred million of stars and we expect to increase the number of pulsating stars to analyze compared to the few thousand stars observed by the CoRoT, Kepler and K2 missions. However, most of the TESS targets have not yet been properly classified and characterized. In order to improve the analysis of the TESS data, it is crucial to determine the type of stellar pulsations in a timely manner. We propose an automatic method to classify stars attending to their pulsation properties, in particular, to identify solar-like pulsators among all TESS targets. It relies on the use of the global amount of power contained in the power spectrum (already known as the FliPer method) as a key parameter, along with\r\nthe effective temperature, to feed into a machine learning classifier. Our study, based on TESS simulated datasets, shows that we are able to classify pulsators with a 98% accuracy.","lang":"eng"}],"extern":"1","article_number":"1811.12140","status":"public","article_processing_charge":"No","day":"29","citation":{"short":"L.A. Bugnet, R.A. García, G.R. Davies, S. Mathur, O.J. Hall, B.M. Rendle, ArXiv (n.d.).","ama":"Bugnet LA, García RA, Davies GR, Mathur S, Hall OJ, Rendle BM. FliPer: Classifying TESS pulsating stars. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.1811.12140\">10.48550/arXiv.1811.12140</a>","chicago":"Bugnet, Lisa Annabelle, R. A. García, G. R. Davies, S. Mathur, O. J. Hall, and B. M. Rendle. “FliPer: Classifying TESS Pulsating Stars.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.1811.12140\">https://doi.org/10.48550/arXiv.1811.12140</a>.","apa":"Bugnet, L. A., García, R. A., Davies, G. R., Mathur, S., Hall, O. J., &#38; Rendle, B. M. (n.d.). FliPer: Classifying TESS pulsating stars. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.1811.12140\">https://doi.org/10.48550/arXiv.1811.12140</a>","ista":"Bugnet LA, García RA, Davies GR, Mathur S, Hall OJ, Rendle BM. FliPer: Classifying TESS pulsating stars. arXiv, 1811.12140.","mla":"Bugnet, Lisa Annabelle, et al. “FliPer: Classifying TESS Pulsating Stars.” <i>ArXiv</i>, 1811.12140, doi:<a href=\"https://doi.org/10.48550/arXiv.1811.12140\">10.48550/arXiv.1811.12140</a>.","ieee":"L. A. Bugnet, R. A. García, G. R. Davies, S. Mathur, O. J. Hall, and B. M. Rendle, “FliPer: Classifying TESS pulsating stars,” <i>arXiv</i>. ."},"main_file_link":[{"url":" https://doi.org/10.48550/arXiv.1811.12140","open_access":"1"}],"keyword":["asteroseismology - methods","data analysis - stars","oscillations"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"11","_id":"11631","doi":"10.48550/arXiv.1811.12140","type":"preprint","oa":1,"title":"FliPer: Classifying TESS pulsating stars","arxiv":1,"language":[{"iso":"eng"}],"publication_status":"submitted","date_published":"2018-11-29T00:00:00Z","oa_version":"Preprint","external_id":{"arxiv":["1811.12140"]},"author":[{"last_name":"Bugnet","first_name":"Lisa Annabelle","full_name":"Bugnet, Lisa Annabelle","orcid":"0000-0003-0142-4000","id":"d9edb345-f866-11ec-9b37-d119b5234501"},{"last_name":"García","full_name":"García, R. A.","first_name":"R. A."},{"last_name":"Davies","first_name":"G. R.","full_name":"Davies, G. R."},{"full_name":"Mathur, S.","first_name":"S.","last_name":"Mathur"},{"full_name":"Hall, O. J.","first_name":"O. J.","last_name":"Hall"},{"full_name":"Rendle, B. M.","first_name":"B. M.","last_name":"Rendle"}],"publication":"arXiv"},{"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1711.02890","open_access":"1"}],"citation":{"ieee":"L. A. Bugnet, R. A. Garcia, G. R. Davies, S. Mathur, and E. Corsaro, “FliPer: Checking the reliability of global seismic parameters from automatic pipelines,” <i>arXiv</i>. .","mla":"Bugnet, Lisa Annabelle, et al. “FliPer: Checking the Reliability of Global Seismic Parameters from Automatic Pipelines.” <i>ArXiv</i>, 1711.02890, doi:<a href=\"https://doi.org/10.48550/arXiv.1711.02890\">10.48550/arXiv.1711.02890</a>.","chicago":"Bugnet, Lisa Annabelle, R. A. Garcia, G. R. Davies, S. Mathur, and E. Corsaro. “FliPer: Checking the Reliability of Global Seismic Parameters from Automatic Pipelines.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.1711.02890\">https://doi.org/10.48550/arXiv.1711.02890</a>.","apa":"Bugnet, L. A., Garcia, R. A., Davies, G. R., Mathur, S., &#38; Corsaro, E. (n.d.). FliPer: Checking the reliability of global seismic parameters from automatic pipelines. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.1711.02890\">https://doi.org/10.48550/arXiv.1711.02890</a>","ista":"Bugnet LA, Garcia RA, Davies GR, Mathur S, Corsaro E. FliPer: Checking the reliability of global seismic parameters from automatic pipelines. arXiv, 1711.02890.","ama":"Bugnet LA, Garcia RA, Davies GR, Mathur S, Corsaro E. FliPer: Checking the reliability of global seismic parameters from automatic pipelines. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.1711.02890\">10.48550/arXiv.1711.02890</a>","short":"L.A. Bugnet, R.A. Garcia, G.R. Davies, S. Mathur, E. Corsaro, ArXiv (n.d.)."},"keyword":["asteroseismology - methods","data analysis - stars","oscillations"],"article_processing_charge":"No","day":"08","extern":"1","abstract":[{"lang":"eng","text":"Our understanding of stars through asteroseismic data analysis is limited by our ability to take advantage of the huge amount of observed stars provided by space missions such as CoRoT, Kepler , K2, and soon TESS and PLATO. Global seismic pipelines provide global stellar parameters such as mass and radius using the mean seismic parameters, as well as the effective temperature. These pipelines are commonly used automatically on thousands of stars observed by K2 for 3 months (and soon TESS for at least ∼ 1 month). However, pipelines are not immune from misidentifying noise peaks and stellar oscillations. Therefore, new validation techniques are required to assess the quality of these results. We present a new metric called FliPer (Flicker in Power), which takes into account the average variability at all measured time scales. The proper calibration of FliPer enables us to obtain good estimations of global stellar parameters such as surface gravity that are robust against the influence of noise peaks and hence are an excellent way to find faults in asteroseismic pipelines."}],"status":"public","article_number":"1711.02890","date_updated":"2022-08-22T08:45:42Z","year":"2017","date_created":"2022-07-21T07:13:13Z","author":[{"id":"d9edb345-f866-11ec-9b37-d119b5234501","orcid":"0000-0003-0142-4000","full_name":"Bugnet, Lisa Annabelle","first_name":"Lisa Annabelle","last_name":"Bugnet"},{"last_name":"Garcia","first_name":"R. A.","full_name":"Garcia, R. A."},{"last_name":"Davies","full_name":"Davies, G. R.","first_name":"G. R."},{"last_name":"Mathur","full_name":"Mathur, S.","first_name":"S."},{"last_name":"Corsaro","first_name":"E.","full_name":"Corsaro, E."}],"publication":"arXiv","date_published":"2017-11-08T00:00:00Z","external_id":{"arxiv":["1711.02890"]},"oa_version":"Preprint","type":"preprint","arxiv":1,"language":[{"iso":"eng"}],"publication_status":"submitted","title":"FliPer: Checking the reliability of global seismic parameters from automatic pipelines","oa":1,"_id":"11633","doi":"10.48550/arXiv.1711.02890","month":"11","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"publication_identifier":{"issn":["0013-5585"],"eissn":["1862-278X"]},"pmid":1,"article_processing_charge":"No","volume":58,"file":[{"creator":"schloegl","file_size":149825,"checksum":"cdfc5339b530a25d6079f7223f0b1f16","relation":"main_file","date_updated":"2021-12-01T14:38:08Z","success":1,"access_level":"open_access","file_id":"10397","content_type":"application/pdf","date_created":"2021-12-01T14:38:08Z","file_name":"Schloegl_Abstract-BMT2013.pdf"}],"quality_controlled":"1","date_created":"2021-12-01T14:35:35Z","year":"2013","date_updated":"2021-12-02T12:51:12Z","publication":"Biomedical Engineering / Biomedizinische Technik","issue":"SI-1-Track-G","ddc":["005","610"],"author":[{"last_name":"Schlögl","full_name":"Schlögl, Alois","first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5621-8100"},{"orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","full_name":"Jonas, Peter M","last_name":"Jonas"},{"last_name":"Schmidt-Hieber","full_name":"Schmidt-Hieber, C.","first_name":"C."},{"full_name":"Guzman, S. J.","first_name":"S. J.","last_name":"Guzman"}],"conference":{"end_date":"2013-09-21","location":"Graz, Austria","start_date":"2013-09-19","name":"BMT: Biomedizinische Technik "},"external_id":{"pmid":["24042795"]},"oa_version":"Submitted Version","date_published":"2013-08-01T00:00:00Z","language":[{"iso":"eng"}],"file_date_updated":"2021-12-01T14:38:08Z","type":"journal_article","doi":"10.1515/bmt-2013-4181","publisher":"De Gruyter","keyword":["biomedical engineering","data analysis","free software"],"citation":{"ieee":"A. Schlögl, P. M. Jonas, C. Schmidt-Hieber, and S. J. Guzman, “Stimfit: A fast visualization and analysis environment for cellular neurophysiology,” <i>Biomedical Engineering / Biomedizinische Technik</i>, vol. 58, no. SI-1-Track-G. De Gruyter, 2013.","mla":"Schlögl, Alois, et al. “Stimfit: A Fast Visualization and Analysis Environment for Cellular Neurophysiology.” <i>Biomedical Engineering / Biomedizinische Technik</i>, vol. 58, no. SI-1-Track-G, 000010151520134181, De Gruyter, 2013, doi:<a href=\"https://doi.org/10.1515/bmt-2013-4181\">10.1515/bmt-2013-4181</a>.","chicago":"Schlögl, Alois, Peter M Jonas, C. Schmidt-Hieber, and S. J. Guzman. “Stimfit: A Fast Visualization and Analysis Environment for Cellular Neurophysiology.” <i>Biomedical Engineering / Biomedizinische Technik</i>. De Gruyter, 2013. <a href=\"https://doi.org/10.1515/bmt-2013-4181\">https://doi.org/10.1515/bmt-2013-4181</a>.","ista":"Schlögl A, Jonas PM, Schmidt-Hieber C, Guzman SJ. 2013. Stimfit: A fast visualization and analysis environment for cellular neurophysiology. Biomedical Engineering / Biomedizinische Technik. 58(SI-1-Track-G), 000010151520134181.","apa":"Schlögl, A., Jonas, P. M., Schmidt-Hieber, C., &#38; Guzman, S. J. (2013). Stimfit: A fast visualization and analysis environment for cellular neurophysiology. <i>Biomedical Engineering / Biomedizinische Technik</i>. Graz, Austria: De Gruyter. <a href=\"https://doi.org/10.1515/bmt-2013-4181\">https://doi.org/10.1515/bmt-2013-4181</a>","ama":"Schlögl A, Jonas PM, Schmidt-Hieber C, Guzman SJ. Stimfit: A fast visualization and analysis environment for cellular neurophysiology. <i>Biomedical Engineering / Biomedizinische Technik</i>. 2013;58(SI-1-Track-G). doi:<a href=\"https://doi.org/10.1515/bmt-2013-4181\">10.1515/bmt-2013-4181</a>","short":"A. Schlögl, P.M. Jonas, C. Schmidt-Hieber, S.J. Guzman, Biomedical Engineering / Biomedizinische Technik 58 (2013)."},"intvolume":"        58","day":"01","has_accepted_license":"1","article_number":"000010151520134181","status":"public","abstract":[{"lang":"eng","text":"Stimfit is a free cross-platform software package for viewing and analyzing electrophysiological data. It supports most standard file types for cellular neurophysiology and other biomedical formats. Its analysis algorithms have been used and validated in several experimental laboratories. Its embedded Python scripting interface makes Stimfit highly extensible and customizable."}],"department":[{"_id":"PeJo"}],"oa":1,"title":"Stimfit: A fast visualization and analysis environment for cellular neurophysiology","publication_status":"published","article_type":"original","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","_id":"10396","month":"08"},{"extern":"1","abstract":[{"text":"Segmentation is the process of partitioning digital images into meaningful regions. The analysis of biological high content images often requires segmentation as a first step. We propose ilastik as an easy-to-use tool which allows the user without expertise in image processing to perform segmentation and classification in a unified way. ilastik learns from labels provided by the user through a convenient mouse interface. Based on these labels, ilastik infers a problem specific segmentation. A random forest classifier is used in the learning step, in which each pixel's neighborhood is characterized by a set of generic (nonlinear) features. ilastik supports up to three spatial plus one spectral dimension and makes use of all dimensions in the feature calculation. ilastik provides realtime feedback that enables the user to interactively refine the segmentation result and hence further fine-tune the classifier. An uncertainty measure guides the user to ambiguous regions in the images. Real time performance is achieved by multi-threading which fully exploits the capabilities of modern multi-core machines. Once a classifier has been trained on a set of representative images, it can be exported and used to automatically process a very large number of images (e.g. using the CellProfiler pipeline). ilastik is an open source project and released under the BSD license at www.ilastik.org.","lang":"eng"}],"status":"public","date_updated":"2023-02-23T14:13:38Z","year":"2011","date_created":"2021-08-19T11:49:58Z","quality_controlled":"1","citation":{"ama":"Sommer CM, Straehle C, Köthe U, Hamprecht FA. Ilastik: Interactive learning and segmentation toolkit. In: <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers; 2011. doi:<a href=\"https://doi.org/10.1109/isbi.2011.5872394\">10.1109/isbi.2011.5872394</a>","short":"C.M. Sommer, C. Straehle, U. Köthe, F.A. Hamprecht, in:, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro, Institute of Electrical and Electronics Engineers, 2011.","mla":"Sommer, Christoph M., et al. “Ilastik: Interactive Learning and Segmentation Toolkit.” <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>, Institute of Electrical and Electronics Engineers, 2011, doi:<a href=\"https://doi.org/10.1109/isbi.2011.5872394\">10.1109/isbi.2011.5872394</a>.","ieee":"C. M. Sommer, C. Straehle, U. Köthe, and F. A. Hamprecht, “Ilastik: Interactive learning and segmentation toolkit,” in <i>2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro</i>, Chicago, Illinois, USA, 2011.","apa":"Sommer, C. M., Straehle, C., Köthe, U., &#38; Hamprecht, F. A. (2011). Ilastik: Interactive learning and segmentation toolkit. In <i>2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro</i>. Chicago, Illinois, USA: Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/isbi.2011.5872394\">https://doi.org/10.1109/isbi.2011.5872394</a>","ista":"Sommer CM, Straehle C, Köthe U, Hamprecht FA. 2011. Ilastik: Interactive learning and segmentation toolkit. 2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro. ISBI: International Symposium on Biomedical Imaging.","chicago":"Sommer, Christoph M, Christoph Straehle, Ullrich Köthe, and Fred A. Hamprecht. “Ilastik: Interactive Learning and Segmentation Toolkit.” In <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers, 2011. <a href=\"https://doi.org/10.1109/isbi.2011.5872394\">https://doi.org/10.1109/isbi.2011.5872394</a>."},"main_file_link":[{"url":"https://www.researchgate.net/publication/224241106_Ilastik_Interactive_learning_and_segmentation_toolkit","open_access":"1"}],"publication_identifier":{"isbn":["978-1-4244-4127-3"],"eissn":["1945-8452"],"issn":["1945-7928"]},"keyword":["image segmentation","biomedical imaging","three dimensional displays","neurons","retina","observers","image color analysis"],"article_processing_charge":"No","day":"09","type":"conference","publication_status":"published","language":[{"iso":"eng"}],"title":"Ilastik: Interactive learning and segmentation toolkit","oa":1,"publisher":"Institute of Electrical and Electronics Engineers","doi":"10.1109/isbi.2011.5872394","_id":"9943","month":"06","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","author":[{"orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","full_name":"Sommer, Christoph M","first_name":"Christoph M"},{"first_name":"Christoph","full_name":"Straehle, Christoph","last_name":"Straehle"},{"last_name":"Köthe","full_name":"Köthe, Ullrich","first_name":"Ullrich"},{"last_name":"Hamprecht","full_name":"Hamprecht, Fred A.","first_name":"Fred A."}],"publication":"2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro","department":[{"_id":"Bio"}],"date_published":"2011-06-09T00:00:00Z","conference":{"end_date":"2011-04-02","location":"Chicago, Illinois, USA","start_date":"2011-03-30","name":"ISBI: International Symposium on Biomedical Imaging"},"oa_version":"Preprint"},{"abstract":[{"text":"The purpose of this paper is to construct examples of diffusion for E-Hamiltonian perturbations\r\nof completely integrable Hamiltonian systems in 2d-dimensional phase space, with d large.\r\nIn the first part of the paper, simple and explicit examples are constructed illustrating absence\r\nof ‘long-time’ stability for size E Hamiltonian perturbations of quasi-convex integrable systems\r\nalready when the dimension 2d of phase space becomes as large as log 1/E . We first produce\r\nthe example in Gevrey class and then a real analytic one, with some additional work.\r\nIn the second part, we consider again E-Hamiltonian perturbations of completely integrable\r\nHamiltonian system in 2d-dimensional space with E-small but not too small, |E| > exp(−d), with\r\nd the number of degrees of freedom assumed large. It is shown that for a class of analytic\r\ntime-periodic perturbations, there exist linearly diffusing trajectories. The underlying idea for\r\nboth examples is similar and consists in coupling a fixed degree of freedom with a large\r\nnumber of them. The procedure and analytical details are however significantly different. As\r\nmentioned, the construction in Part I is totally elementary while Part II is more involved, relying\r\nin particular on the theory of normally hyperbolic invariant manifolds, methods of generating\r\nfunctions, Aubry–Mather theory, and Mather’s variational methods.","lang":"eng"}],"volume":229,"extern":"1","status":"public","date_updated":"2021-01-12T08:19:49Z","page":"1-61","quality_controlled":"1","year":"2005","date_created":"2020-09-18T10:49:06Z","intvolume":"       229","citation":{"ista":"Bourgain J, Kaloshin V. 2005. On diffusion in high-dimensional Hamiltonian systems. Journal of Functional Analysis. 229(1), 1–61.","apa":"Bourgain, J., &#38; Kaloshin, V. (2005). On diffusion in high-dimensional Hamiltonian systems. <i>Journal of Functional Analysis</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jfa.2004.09.006\">https://doi.org/10.1016/j.jfa.2004.09.006</a>","chicago":"Bourgain, Jean, and Vadim Kaloshin. “On Diffusion in High-Dimensional Hamiltonian Systems.” <i>Journal of Functional Analysis</i>. Elsevier, 2005. <a href=\"https://doi.org/10.1016/j.jfa.2004.09.006\">https://doi.org/10.1016/j.jfa.2004.09.006</a>.","mla":"Bourgain, Jean, and Vadim Kaloshin. “On Diffusion in High-Dimensional Hamiltonian Systems.” <i>Journal of Functional Analysis</i>, vol. 229, no. 1, Elsevier, 2005, pp. 1–61, doi:<a href=\"https://doi.org/10.1016/j.jfa.2004.09.006\">10.1016/j.jfa.2004.09.006</a>.","ieee":"J. Bourgain and V. Kaloshin, “On diffusion in high-dimensional Hamiltonian systems,” <i>Journal of Functional Analysis</i>, vol. 229, no. 1. Elsevier, pp. 1–61, 2005.","short":"J. Bourgain, V. Kaloshin, Journal of Functional Analysis 229 (2005) 1–61.","ama":"Bourgain J, Kaloshin V. On diffusion in high-dimensional Hamiltonian systems. <i>Journal of Functional Analysis</i>. 2005;229(1):1-61. doi:<a href=\"https://doi.org/10.1016/j.jfa.2004.09.006\">10.1016/j.jfa.2004.09.006</a>"},"keyword":["Analysis"],"publication_identifier":{"issn":["0022-1236"]},"article_processing_charge":"No","day":"01","article_type":"original","type":"journal_article","title":"On diffusion in high-dimensional Hamiltonian systems","language":[{"iso":"eng"}],"publication_status":"published","publisher":"Elsevier","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1016/j.jfa.2004.09.006","_id":"8516","month":"12","author":[{"first_name":"Jean","full_name":"Bourgain, Jean","last_name":"Bourgain"},{"orcid":"0000-0002-6051-2628","id":"FE553552-CDE8-11E9-B324-C0EBE5697425","first_name":"Vadim","full_name":"Kaloshin, Vadim","last_name":"Kaloshin"}],"publication":"Journal of Functional Analysis","issue":"1","date_published":"2005-12-01T00:00:00Z","oa_version":"None"},{"status":"public","abstract":[{"text":"We give a short survey of the use of hyperlink analysis in web search engine ranking and sketch other applications of hyperlink analysis in the web space.","lang":"eng"}],"extern":"1","page":"1-3","quality_controlled":"1","year":"2005","date_created":"2022-07-29T10:47:23Z","date_updated":"2023-02-09T11:54:40Z","keyword":["Hyperlink Analysis","World Wide Web"],"publication_identifier":{"isbn":["9781595931689"]},"scopus_import":"1","citation":{"short":"M.H. Henzinger, in:, Proceedings of the 16th ACM Conference on Hypertext and Hypermedia, Association for Computing Machinery, 2005, pp. 1–3.","ama":"Henzinger MH. Hyperlink analysis on the world wide web. In: <i>Proceedings of the 16th ACM Conference on Hypertext and Hypermedia</i>. Association for Computing Machinery; 2005:1-3. doi:<a href=\"https://doi.org/10.1145/1083356.1083357\">10.1145/1083356.1083357</a>","chicago":"Henzinger, Monika H. “Hyperlink Analysis on the World Wide Web.” In <i>Proceedings of the 16th ACM Conference on Hypertext and Hypermedia</i>, 1–3. Association for Computing Machinery, 2005. <a href=\"https://doi.org/10.1145/1083356.1083357\">https://doi.org/10.1145/1083356.1083357</a>.","apa":"Henzinger, M. H. (2005). Hyperlink analysis on the world wide web. In <i>Proceedings of the 16th ACM conference on Hypertext and hypermedia</i> (pp. 1–3). Salzburg, Austria: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/1083356.1083357\">https://doi.org/10.1145/1083356.1083357</a>","ista":"Henzinger MH. 2005. Hyperlink analysis on the world wide web. Proceedings of the 16th ACM conference on Hypertext and hypermedia. HYPERTEXT: Conference on Hypertext and Hypermedia, 1–3.","ieee":"M. H. Henzinger, “Hyperlink analysis on the world wide web,” in <i>Proceedings of the 16th ACM conference on Hypertext and hypermedia</i>, Salzburg, Austria, 2005, pp. 1–3.","mla":"Henzinger, Monika H. “Hyperlink Analysis on the World Wide Web.” <i>Proceedings of the 16th ACM Conference on Hypertext and Hypermedia</i>, Association for Computing Machinery, 2005, pp. 1–3, doi:<a href=\"https://doi.org/10.1145/1083356.1083357\">10.1145/1083356.1083357</a>."},"day":"06","article_processing_charge":"No","title":"Hyperlink analysis on the world wide web","publication_status":"published","language":[{"iso":"eng"}],"type":"conference","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"11698","doi":"10.1145/1083356.1083357","month":"09","publisher":"Association for Computing Machinery","publication":"Proceedings of the 16th ACM conference on Hypertext and hypermedia","author":[{"id":"540c9bbd-f2de-11ec-812d-d04a5be85630","orcid":"0000-0002-5008-6530","first_name":"Monika H","full_name":"Henzinger, Monika H","last_name":"Henzinger"}],"oa_version":"None","conference":{"start_date":"2005-09-06","name":"HYPERTEXT: Conference on Hypertext and Hypermedia","end_date":"2005-09-09","location":"Salzburg, Austria"},"date_published":"2005-09-06T00:00:00Z"},{"title":"Average-case analysis of dynamic graph algorithms","related_material":{"record":[{"status":"public","relation":"earlier_version","id":"11928"}]},"publication_status":"published","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"11680","month":"01","acknowledgement":"The authors would like to thank Emo Welzl for helpful discussions.","status":"public","abstract":[{"lang":"eng","text":"We present a model for edge updates with restricted randomness in dynamic graph algorithms and a general technique for analyzing the expected running time of an update operation. This model is able to capture the average case in many applications, since (1) it allows restrictions on the set of edges which can be used for insertions and (2) the type (insertion or deletion) of each update operation is arbitrary, i.e., not random. We use our technique to analyze existing and new dynamic algorithms for the following problems: maximum cardinality matching, minimum spanning forest, connectivity, 2-edge connectivity, k -edge connectivity, k -vertex connectivity, and bipartiteness. Given a random graph G with m 0 edges and n vertices and a sequence of l update operations such that the graph contains m i edges after operation i , the expected time for performing the updates for any l is O(llogn+∑li=1n/m−−√i) in the case of minimum spanning forests, connectivity, 2-edge connectivity, and bipartiteness. The expected time per update operation is O(n) in the case of maximum matching. We also give improved bounds for k -edge and k -vertex connectivity. Additionally we give an insertions-only algorithm for maximum cardinality matching with worst-case O(n) amortized time per insertion."}],"extern":"1","keyword":["Dynamic graph algorithm","Average-case analysis","Minimum spanning forest","Connectivity","Bipartiteness","Maximum matching."],"intvolume":"        20","citation":{"short":"D. Alberts, M.H. Henzinger, Algorithmica 20 (1998) 31–60.","ama":"Alberts D, Henzinger MH. Average-case analysis of dynamic graph algorithms. <i>Algorithmica</i>. 1998;20:31-60. doi:<a href=\"https://doi.org/10.1007/pl00009186\">10.1007/pl00009186</a>","ista":"Alberts D, Henzinger MH. 1998. Average-case analysis of dynamic graph algorithms. Algorithmica. 20, 31–60.","chicago":"Alberts, D., and Monika H Henzinger. “Average-Case Analysis of Dynamic Graph Algorithms.” <i>Algorithmica</i>. Springer Nature, 1998. <a href=\"https://doi.org/10.1007/pl00009186\">https://doi.org/10.1007/pl00009186</a>.","apa":"Alberts, D., &#38; Henzinger, M. H. (1998). Average-case analysis of dynamic graph algorithms. <i>Algorithmica</i>. Springer Nature. <a href=\"https://doi.org/10.1007/pl00009186\">https://doi.org/10.1007/pl00009186</a>","ieee":"D. Alberts and M. H. Henzinger, “Average-case analysis of dynamic graph algorithms,” <i>Algorithmica</i>, vol. 20. Springer Nature, pp. 31–60, 1998.","mla":"Alberts, D., and Monika H. Henzinger. “Average-Case Analysis of Dynamic Graph Algorithms.” <i>Algorithmica</i>, vol. 20, Springer Nature, 1998, pp. 31–60, doi:<a href=\"https://doi.org/10.1007/pl00009186\">10.1007/pl00009186</a>."},"day":"01","language":[{"iso":"eng"}],"type":"journal_article","doi":"10.1007/pl00009186","publisher":"Springer Nature","publication":"Algorithmica","author":[{"last_name":"Alberts","first_name":"D.","full_name":"Alberts, D."},{"orcid":"0000-0002-5008-6530","id":"540c9bbd-f2de-11ec-812d-d04a5be85630","first_name":"Monika H","full_name":"Henzinger, Monika H","last_name":"Henzinger"}],"oa_version":"None","date_published":"1998-01-01T00:00:00Z","volume":20,"page":"31-60","quality_controlled":"1","date_created":"2022-07-28T06:50:51Z","year":"1998","date_updated":"2023-02-21T16:33:27Z","publication_identifier":{"eissn":["1432-0541"],"issn":["0178-4617"]},"scopus_import":"1","article_processing_charge":"No"},{"status":"public","extern":"1","volume":31,"abstract":[{"text":"In the present paper, we give a definition of prevalent (\"metrically prevalent\" ) sets in nonlinear function\r\nspaces. A subset of a Euclidean space is said to be metrically prevalent if its complement has measure zero.\r\nThere is no natural way to generalize the definition of a set of measure zero in a finite-dimensional space\r\nto the infinite-dimensional case [6]. Therefore, it is necessary to give a special definition of a metrically\r\nprevalent set (set of full measure) in an infinite-dimensional space. There are various ways to do so. We\r\nsuggest one of the possible ways to define the class of metrically prevalent sets in the space of smooth maps\r\nof one smooth manifold into another. It is shown in this paper that the class of metrically prevalent sets\r\nhas natural properties; in particular, the intersection of finitely many metrically prevalent sets is metrically\r\nprevalent. The main result of the paper is a prevalent version of Thorn's transversality theorem.\r\nIt is common practice in singularity theory and the theory of dynamical systems to say that a property\r\nholds for \"almost every\" map (or flow) if it holds for a residual set, i.e., a set that contains a countable\r\nintersection of open dense sets in the corresponding function space. However, even in finite-dimensional\r\nspaces such a set can have arbitrarily small (say, zero) Lebesgue measure. We prove that Thorn's transversality theorem holds for an essentially \"thicker\" set than a residual set. It seems reasonable to revise from\r\nthe prevalent point of view the classical results of singularity theory and theory of dynamical systems,\r\nincluding the multijet transversality theorem, Mather's stability theorem, Kupka-Smale's theorem for dynamical systems, etc. We shall do this elsewhere. The notion of prevalence in linear Banach spaces was\r\nintroduced and investigated in [8]. One of the possible ways to define a class of prevalent sets in the space\r\nof smooth maps of manifolds, which essentially differs from that presented in this paper, is given in [7].\r\nDefinitions of typicalness based on the Lebesgue measure in a finite-dimensional space were suggested\r\nby Kolmogorov [10] and Arnold [11]. These definitions were cited and discussed in [9]. Here we only point\r\nout that the finite-dimensional analog of Arnold's definition allows prevalent sets to have arbitrarily small\r\nmeasure, whereas the prevalent sets in the sense of the finite-dimensional analog of the definition given in\r\nthe present paper are necessarily of full measure. Our definition is a modification of that due to Arnold.\r\nI wish to thank Yu. S. Illyashenko for constant attention to this work and useful discussions and\r\nR. I. Bogdanov for help in the preparation of this paper. ","lang":"eng"}],"date_created":"2020-09-18T10:50:54Z","year":"1997","quality_controlled":"1","page":"95-99","date_updated":"2021-01-12T08:19:54Z","publication_identifier":{"issn":["0016-2663","1573-8485"]},"keyword":["Applied Mathematics","Analysis"],"intvolume":"        31","citation":{"short":"V. Kaloshin, Functional Analysis and Its Applications 31 (1997) 95–99.","ama":"Kaloshin V. Prevalence in the space of finitely smooth maps. <i>Functional Analysis and Its Applications</i>. 1997;31(2):95-99. doi:<a href=\"https://doi.org/10.1007/bf02466014\">10.1007/bf02466014</a>","ista":"Kaloshin V. 1997. Prevalence in the space of finitely smooth maps. Functional Analysis and Its Applications. 31(2), 95–99.","apa":"Kaloshin, V. (1997). Prevalence in the space of finitely smooth maps. <i>Functional Analysis and Its Applications</i>. Springer Nature. <a href=\"https://doi.org/10.1007/bf02466014\">https://doi.org/10.1007/bf02466014</a>","chicago":"Kaloshin, Vadim. “Prevalence in the Space of Finitely Smooth Maps.” <i>Functional Analysis and Its Applications</i>. Springer Nature, 1997. <a href=\"https://doi.org/10.1007/bf02466014\">https://doi.org/10.1007/bf02466014</a>.","ieee":"V. Kaloshin, “Prevalence in the space of finitely smooth maps,” <i>Functional Analysis and Its Applications</i>, vol. 31, no. 2. Springer Nature, pp. 95–99, 1997.","mla":"Kaloshin, Vadim. “Prevalence in the Space of Finitely Smooth Maps.” <i>Functional Analysis and Its Applications</i>, vol. 31, no. 2, Springer Nature, 1997, pp. 95–99, doi:<a href=\"https://doi.org/10.1007/bf02466014\">10.1007/bf02466014</a>."},"day":"30","article_processing_charge":"No","publication_status":"published","language":[{"iso":"eng"}],"title":"Prevalence in the space of finitely smooth maps","type":"journal_article","article_type":"original","_id":"8528","doi":"10.1007/bf02466014","month":"03","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Springer Nature","publication":"Functional Analysis and Its Applications","issue":"2","author":[{"last_name":"Kaloshin","full_name":"Kaloshin, Vadim","first_name":"Vadim","orcid":"0000-0002-6051-2628","id":"FE553552-CDE8-11E9-B324-C0EBE5697425"}],"oa_version":"None","date_published":"1997-03-30T00:00:00Z"},{"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"6161","month":"10","oa":1,"title":"Evolution of sex determination in Caenorhabditis: Unusually high divergence of tra-1 and its functional consequences","publication_status":"published","abstract":[{"lang":"eng","text":"The tra-1 gene is a terminal regulator of somatic sex in Caenorhabditis elegans: high tra-1 activity elicits female development, low tra-1 activity elicits male development. To investigate the function and evolution of tra- 1, we examined the tra-1 gene from the closely related nematode C. briggsae. Ce-tra-1 and Cb-tra-1 are unusually divergent. Each gene generates two transcripts, but only one of these is present in both species. This common transcript encodes TRA-1A, which shows only 44% amino acid identity between the species, a figure much lower than that for previously compared genes. A Cb-tra-1 transgene rescues many tissues of tra-1(null) mutants of C. elegans but not the somatic gonad or germ line. This transgene also causes nongonadal feminization of XO animals, indicating incorrect sexual regulation. Alignment of Ce-TRA-1A and Cb-TRA-1A defined several conserved regions likely to be important for tra-1 function. The phenotype differences between Ce-tra- 1(null) mutants rescued by Cb-tra-1 transgenes and wild-type C. elegans indicate significant divergence of regulatory regions. These molecular and functional studies suggest that evolution of sex determination in nematodes is rapid and genetically complex."}],"extern":"1","status":"public","day":"01","intvolume":"       144","citation":{"ista":"de Bono M, Hodgkin J. 1996. Evolution of sex determination in Caenorhabditis: Unusually high divergence of tra-1 and its functional consequences. Genetics. 144(2), 587–595.","apa":"de Bono, M., &#38; Hodgkin, J. (1996). Evolution of sex determination in Caenorhabditis: Unusually high divergence of tra-1 and its functional consequences. <i>Genetics</i>. Genetics Society of America.","chicago":"Bono, Mario de, and J. Hodgkin. “Evolution of Sex Determination in Caenorhabditis: Unusually High Divergence of Tra-1 and Its Functional Consequences.” <i>Genetics</i>. Genetics Society of America, 1996.","ieee":"M. de Bono and J. Hodgkin, “Evolution of sex determination in Caenorhabditis: Unusually high divergence of tra-1 and its functional consequences,” <i>Genetics</i>, vol. 144, no. 2. Genetics Society of America, pp. 587–595, 1996.","mla":"de Bono, Mario, and J. Hodgkin. “Evolution of Sex Determination in Caenorhabditis: Unusually High Divergence of Tra-1 and Its Functional Consequences.” <i>Genetics</i>, vol. 144, no. 2, Genetics Society of America, 1996, pp. 587–95.","short":"M. de Bono, J. Hodgkin, Genetics 144 (1996) 587–595.","ama":"de Bono M, Hodgkin J. Evolution of sex determination in Caenorhabditis: Unusually high divergence of tra-1 and its functional consequences. <i>Genetics</i>. 1996;144(2):587-595."},"keyword":["amino acid sequence","article","caenorhabditis elegans","evolution","genetic variability","nonhuman","priority journal","sex determination","Amino Acid Sequence","Animals","Animals","Genetically Modified","Base Sequence","Caenorhabditis","Caenorhabditis elegans","Caenorhabditis elegans Proteins","DNA","Helminth","DNA-Binding Proteins","Evolution","Molecular","Female","Helminth Proteins","Membrane Proteins","Molecular Sequence Data","Mutagenesis","RNA","Messenger","Sequence Homology","Amino Acid","Sex Determination (Analysis)","Transcription Factors","Transgenes","Turner Syndrome","Animalia","Caenorhabditis","Caenorhabditis briggsae","Caenorhabditis elegans","Nematoda"],"publisher":"Genetics Society of America","type":"journal_article","language":[{"iso":"eng"}],"date_published":"1996-10-01T00:00:00Z","oa_version":"Published Version","external_id":{"pmid":["8889522"]},"author":[{"last_name":"de Bono","full_name":"de Bono, Mario","first_name":"Mario","orcid":"0000-0001-8347-0443","id":"4E3FF80E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"J.","full_name":"Hodgkin, J.","last_name":"Hodgkin"}],"issue":"2","publication":"Genetics","date_updated":"2021-01-12T08:06:28Z","quality_controlled":"1","page":"587-595","date_created":"2019-03-21T11:50:37Z","year":"1996","volume":144,"pmid":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1207552/"}],"publication_identifier":{"issn":["00166731"]}}]