[{"article_number":"8006529","project":[{"grant_number":"682815","name":"Teaching Old Crypto New Tricks","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Skórski, Maciej. “On the Complexity of Estimating Rènyi Divergences.” 2017 IEEE International Symposium on Information Theory (ISIT), 8006529, IEEE, 2017, doi:10.1109/isit.2017.8006529.","apa":"Skórski, M. (2017). On the complexity of estimating Rènyi divergences. In 2017 IEEE International Symposium on Information Theory (ISIT). Aachen, Germany: IEEE. https://doi.org/10.1109/isit.2017.8006529","ama":"Skórski M. On the complexity of estimating Rènyi divergences. In: 2017 IEEE International Symposium on Information Theory (ISIT). IEEE; 2017. doi:10.1109/isit.2017.8006529","ieee":"M. Skórski, “On the complexity of estimating Rènyi divergences,” in 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 2017.","short":"M. Skórski, in:, 2017 IEEE International Symposium on Information Theory (ISIT), IEEE, 2017.","chicago":"Skórski, Maciej. “On the Complexity of Estimating Rènyi Divergences.” In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. https://doi.org/10.1109/isit.2017.8006529.","ista":"Skórski M. 2017. On the complexity of estimating Rènyi divergences. 2017 IEEE International Symposium on Information Theory (ISIT). ISIT: International Symposium on Information Theory, 8006529."},"title":"On the complexity of estimating Rènyi divergences","external_id":{"arxiv":["1702.01666"]},"author":[{"id":"EC09FA6A-02D0-11E9-8223-86B7C91467DD","first_name":"Maciej","last_name":"Skórski","full_name":"Skórski, Maciej"}],"oa":1,"quality_controlled":"1","publisher":"IEEE","publication":"2017 IEEE International Symposium on Information Theory (ISIT)","day":"09","year":"2017","date_created":"2019-06-06T12:53:09Z","doi":"10.1109/isit.2017.8006529","date_published":"2017-08-09T00:00:00Z","_id":"6526","status":"public","conference":{"name":"ISIT: International Symposium on Information Theory","location":"Aachen, Germany","end_date":"2017-06-30","start_date":"2017-06-25"},"type":"conference","date_updated":"2021-01-12T08:07:53Z","department":[{"_id":"KrPi"}],"oa_version":"Preprint","abstract":[{"lang":"eng","text":"This paper studies the complexity of estimating Rényi divergences of discrete distributions: p observed from samples and the baseline distribution q known a priori. Extending the results of Acharya et al. (SODA'15) on estimating Rényi entropy, we present improved estimation techniques together with upper and lower bounds on the sample complexity. We show that, contrarily to estimating Rényi entropy where a sublinear (in the alphabet size) number of samples suffices, the sample complexity is heavily dependent on events occurring unlikely in q, and is unbounded in general (no matter what an estimation technique is used). For any divergence of integer order bigger than 1, we provide upper and lower bounds on the number of samples dependent on probabilities of p and q (the lower bounds hold for non-integer orders as well). We conclude that the worst-case sample complexity is polynomial in the alphabet size if and only if the probabilities of q are non-negligible. This gives theoretical insights into heuristics used in the applied literature to handle numerical instability, which occurs for small probabilities of q. Our result shows that they should be handled with care not only because of numerical issues, but also because of a blow up in the sample complexity."}],"month":"08","main_file_link":[{"url":"https://arxiv.org/abs/1702.01666","open_access":"1"}],"scopus_import":1,"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["9781509040964"]},"ec_funded":1},{"_id":"655","pubrep_id":"904","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","ddc":["579"],"date_updated":"2021-01-12T08:07:55Z","department":[{"_id":"CaGu"}],"file_date_updated":"2020-07-14T12:47:33Z","oa_version":"Published Version","abstract":[{"text":"The bacterial flagellum is a self-assembling nanomachine. The external flagellar filament, several times longer than a bacterial cell body, is made of a few tens of thousands subunits of a single protein: flagellin. A fundamental problem concerns the molecular mechanism of how the flagellum grows outside the cell, where no discernible energy source is available. Here, we monitored the dynamic assembly of individual flagella using in situ labelling and real-time immunostaining of elongating flagellar filaments. We report that the rate of flagellum growth, initially ~1,700 amino acids per second, decreases with length and that the previously proposed chain mechanism does not contribute to the filament elongation dynamics. Inhibition of the proton motive force-dependent export apparatus revealed a major contribution of substrate injection in driving filament elongation. The combination of experimental and mathematical evidence demonstrates that a simple, injection-diffusion mechanism controls bacterial flagella growth outside the cell.","lang":"eng"}],"intvolume":" 6","month":"03","scopus_import":1,"language":[{"iso":"eng"}],"file":[{"date_created":"2018-12-12T10:08:53Z","file_name":"IST-2017-904-v1+1_elife-23136-v2.pdf","date_updated":"2020-07-14T12:47:33Z","file_size":5520359,"creator":"system","checksum":"39e1c3e82ddac83a30422fa72fa1a383","file_id":"4716","content_type":"application/pdf","access_level":"open_access","relation":"main_file"},{"checksum":"a6d542253028f52e00aa29739ddffe8f","file_id":"4717","access_level":"open_access","relation":"main_file","content_type":"application/pdf","date_created":"2018-12-12T10:08:54Z","file_name":"IST-2017-904-v1+2_elife-23136-figures-v2.pdf","creator":"system","date_updated":"2020-07-14T12:47:33Z","file_size":11242920}],"publication_status":"published","publication_identifier":{"issn":["2050084X"]},"license":"https://creativecommons.org/licenses/by/4.0/","volume":6,"article_number":"e23136","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"short":"T. Renault, A. Abraham, T. Bergmiller, G. Paradis, S. Rainville, E. Charpentier, C.C. Guet, Y. Tu, K. Namba, J. Keener, T. Minamino, M. Erhardt, ELife 6 (2017).","ieee":"T. Renault et al., “Bacterial flagella grow through an injection diffusion mechanism,” eLife, vol. 6. eLife Sciences Publications, 2017.","ama":"Renault T, Abraham A, Bergmiller T, et al. Bacterial flagella grow through an injection diffusion mechanism. eLife. 2017;6. doi:10.7554/eLife.23136","apa":"Renault, T., Abraham, A., Bergmiller, T., Paradis, G., Rainville, S., Charpentier, E., … Erhardt, M. (2017). Bacterial flagella grow through an injection diffusion mechanism. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.23136","mla":"Renault, Thibaud, et al. “Bacterial Flagella Grow through an Injection Diffusion Mechanism.” ELife, vol. 6, e23136, eLife Sciences Publications, 2017, doi:10.7554/eLife.23136.","ista":"Renault T, Abraham A, Bergmiller T, Paradis G, Rainville S, Charpentier E, Guet CC, Tu Y, Namba K, Keener J, Minamino T, Erhardt M. 2017. Bacterial flagella grow through an injection diffusion mechanism. eLife. 6, e23136.","chicago":"Renault, Thibaud, Anthony Abraham, Tobias Bergmiller, Guillaume Paradis, Simon Rainville, Emmanuelle Charpentier, Calin C Guet, et al. “Bacterial Flagella Grow through an Injection Diffusion Mechanism.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.23136."},"title":"Bacterial flagella grow through an injection diffusion mechanism","author":[{"full_name":"Renault, Thibaud","last_name":"Renault","first_name":"Thibaud"},{"first_name":"Anthony","last_name":"Abraham","full_name":"Abraham, Anthony"},{"last_name":"Bergmiller","full_name":"Bergmiller, Tobias","orcid":"0000-0001-5396-4346","id":"2C471CFA-F248-11E8-B48F-1D18A9856A87","first_name":"Tobias"},{"first_name":"Guillaume","last_name":"Paradis","full_name":"Paradis, Guillaume"},{"first_name":"Simon","last_name":"Rainville","full_name":"Rainville, Simon"},{"full_name":"Charpentier, Emmanuelle","last_name":"Charpentier","first_name":"Emmanuelle"},{"full_name":"Guet, Calin C","orcid":"0000-0001-6220-2052","last_name":"Guet","id":"47F8433E-F248-11E8-B48F-1D18A9856A87","first_name":"Calin C"},{"last_name":"Tu","full_name":"Tu, Yuhai","first_name":"Yuhai"},{"full_name":"Namba, Keiichi","last_name":"Namba","first_name":"Keiichi"},{"full_name":"Keener, James","last_name":"Keener","first_name":"James"},{"full_name":"Minamino, Tohru","last_name":"Minamino","first_name":"Tohru"},{"full_name":"Erhardt, Marc","last_name":"Erhardt","first_name":"Marc"}],"publist_id":"7082","oa":1,"publisher":"eLife Sciences Publications","quality_controlled":"1","publication":"eLife","day":"06","year":"2017","has_accepted_license":"1","date_created":"2018-12-11T11:47:44Z","date_published":"2017-03-06T00:00:00Z","doi":"10.7554/eLife.23136"},{"title":"Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo","external_id":{"pmid":["28265057"]},"publist_id":"7076","author":[{"last_name":"Möller","full_name":"Möller, Barbara","first_name":"Barbara"},{"full_name":"Ten Hove, Colette","last_name":"Ten Hove","first_name":"Colette"},{"last_name":"Xiang","full_name":"Xiang, Daoquan","first_name":"Daoquan"},{"first_name":"Nerys","full_name":"Williams, Nerys","last_name":"Williams"},{"last_name":"López","full_name":"López, Lorena","first_name":"Lorena"},{"first_name":"Saiko","id":"2E46069C-F248-11E8-B48F-1D18A9856A87","last_name":"Yoshida","full_name":"Yoshida, Saiko"},{"last_name":"Smit","full_name":"Smit, Margot","first_name":"Margot"},{"last_name":"Datla","full_name":"Datla, Raju","first_name":"Raju"},{"full_name":"Weijers, Dolf","last_name":"Weijers","first_name":"Dolf"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Möller, Barbara, Colette Ten Hove, Daoquan Xiang, Nerys Williams, Lorena López, Saiko Yoshida, Margot Smit, Raju Datla, and Dolf Weijers. “Auxin Response Cell Autonomously Controls Ground Tissue Initiation in the Early Arabidopsis Embryo.” PNAS. National Academy of Sciences, 2017. https://doi.org/10.1073/pnas.1616493114.","ista":"Möller B, Ten Hove C, Xiang D, Williams N, López L, Yoshida S, Smit M, Datla R, Weijers D. 2017. Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo. PNAS. 114(12), E2533–E2539.","mla":"Möller, Barbara, et al. “Auxin Response Cell Autonomously Controls Ground Tissue Initiation in the Early Arabidopsis Embryo.” PNAS, vol. 114, no. 12, National Academy of Sciences, 2017, pp. E2533–39, doi:10.1073/pnas.1616493114.","short":"B. Möller, C. Ten Hove, D. Xiang, N. Williams, L. López, S. Yoshida, M. Smit, R. Datla, D. Weijers, PNAS 114 (2017) E2533–E2539.","ieee":"B. Möller et al., “Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo,” PNAS, vol. 114, no. 12. National Academy of Sciences, pp. E2533–E2539, 2017.","ama":"Möller B, Ten Hove C, Xiang D, et al. Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo. PNAS. 2017;114(12):E2533-E2539. doi:10.1073/pnas.1616493114","apa":"Möller, B., Ten Hove, C., Xiang, D., Williams, N., López, L., Yoshida, S., … Weijers, D. (2017). Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1616493114"},"oa":1,"publisher":"National Academy of Sciences","quality_controlled":"1","date_created":"2018-12-11T11:47:45Z","date_published":"2017-03-21T00:00:00Z","doi":"10.1073/pnas.1616493114","page":"E2533 - E2539","publication":"PNAS","day":"21","year":"2017","status":"public","type":"journal_article","_id":"657","department":[{"_id":"JiFr"}],"date_updated":"2021-01-12T08:08:02Z","intvolume":" 114","month":"03","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373392/","open_access":"1"}],"scopus_import":1,"oa_version":"Submitted Version","pmid":1,"abstract":[{"lang":"eng","text":"Plant organs are typically organized into three main tissue layers. The middle ground tissue layer comprises the majority of the plant body and serves a wide range of functions, including photosynthesis, selective nutrient uptake and storage, and gravity sensing. Ground tissue patterning and maintenance in Arabidopsis are controlled by a well-established gene network revolving around the key regulator SHORT-ROOT (SHR). In contrast, it is completely unknown how ground tissue identity is first specified from totipotent precursor cells in the embryo. The plant signaling molecule auxin, acting through AUXIN RESPONSE FACTOR (ARF) transcription factors, is critical for embryo patterning. The auxin effector ARF5/MONOPTEROS (MP) acts both cell-autonomously and noncell-autonomously to control embryonic vascular tissue formation and root initiation, respectively. Here we show that auxin response and ARF activity cell-autonomously control the asymmetric division of the first ground tissue cells. By identifying embryonic target genes, we show that MP transcriptionally initiates the ground tissue lineage and acts upstream of the regulatory network that controls ground tissue patterning and maintenance. Strikingly, whereas the SHR network depends on MP, this MP function is, at least in part, SHR independent. Our study therefore identifies auxin response as a regulator of ground tissue specification in the embryonic root, and reveals that ground tissue initiation and maintenance use different regulators and mechanisms. Moreover, our data provide a framework for the simultaneous formation of multiple cell types by the same transcriptional regulator."}],"issue":"12","volume":114,"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"issn":["00278424"]}},{"citation":{"ista":"Novarino G. 2017. Modeling Alzheimer’s disease in mice with human neurons. Science Translational Medicine. 9(381), eaam9867.","chicago":"Novarino, Gaia. “Modeling Alzheimer’s Disease in Mice with Human Neurons.” Science Translational Medicine. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/scitranslmed.aam9867.","ieee":"G. Novarino, “Modeling Alzheimer’s disease in mice with human neurons,” Science Translational Medicine, vol. 9, no. 381. American Association for the Advancement of Science, 2017.","short":"G. Novarino, Science Translational Medicine 9 (2017).","ama":"Novarino G. Modeling Alzheimer’s disease in mice with human neurons. Science Translational Medicine. 2017;9(381). doi:10.1126/scitranslmed.aam9867","apa":"Novarino, G. (2017). Modeling Alzheimer’s disease in mice with human neurons. Science Translational Medicine. American Association for the Advancement of Science. https://doi.org/10.1126/scitranslmed.aam9867","mla":"Novarino, Gaia. “Modeling Alzheimer’s Disease in Mice with Human Neurons.” Science Translational Medicine, vol. 9, no. 381, eaam9867, American Association for the Advancement of Science, 2017, doi:10.1126/scitranslmed.aam9867."},"date_updated":"2021-01-12T08:07:59Z","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","publist_id":"7079","author":[{"first_name":"Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","last_name":"Novarino"}],"title":"Modeling Alzheimer's disease in mice with human neurons","department":[{"_id":"GaNo"}],"_id":"656","article_number":"eaam9867","type":"journal_article","status":"public","publication_status":"published","year":"2017","publication_identifier":{"issn":["19466234"]},"publication":"Science Translational Medicine","language":[{"iso":"eng"}],"day":"15","date_created":"2018-12-11T11:47:45Z","issue":"381","date_published":"2017-03-15T00:00:00Z","volume":9,"doi":"10.1126/scitranslmed.aam9867","abstract":[{"lang":"eng","text":"Human neurons transplanted into a mouse model for Alzheimer’s disease show human-specific vulnerability to β-amyloid plaques and may help to identify new therapeutic targets."}],"oa_version":"None","publisher":"American Association for the Advancement of Science","scopus_import":1,"quality_controlled":"1","intvolume":" 9","month":"03"},{"ddc":["006"],"date_updated":"2021-01-12T08:08:04Z","file_date_updated":"2020-07-14T12:47:33Z","department":[{"_id":"ChLa"},{"_id":"GaTk"}],"_id":"658","pubrep_id":"903","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","language":[{"iso":"eng"}],"file":[{"file_size":8439566,"date_updated":"2020-07-14T12:47:33Z","creator":"system","file_name":"IST-2017-903-v1+1_fnbot-11-00008.pdf","date_created":"2018-12-12T10:18:49Z","content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_id":"5371","checksum":"b1bc43f96d1df3313c03032c2a46388d"}],"publication_status":"published","publication_identifier":{"issn":["16625218"]},"ec_funded":1,"issue":"MAR","volume":11,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"With the accelerated development of robot technologies, control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of specific objectives for the task at hand. While very successful in many applications, self-organized control schemes seem to be favored in large complex systems with unknown dynamics or which are difficult to model. Reasons are the expected scalability, robustness, and resilience of self-organizing systems. The paper presents a self-learning neurocontroller based on extrinsic differential plasticity introduced recently, applying it to an anthropomorphic musculoskeletal robot arm with attached objects of unknown physical dynamics. The central finding of the paper is the following effect: by the mere feedback through the internal dynamics of the object, the robot is learning to relate each of the objects with a very specific sensorimotor pattern. Specifically, an attached pendulum pilots the arm into a circular motion, a half-filled bottle produces axis oriented shaking behavior, a wheel is getting rotated, and wiping patterns emerge automatically in a table-plus-brush setting. By these object-specific dynamical patterns, the robot may be said to recognize the object's identity, or in other words, it discovers dynamical affordances of objects. Furthermore, when including hand coordinates obtained from a camera, a dedicated hand-eye coordination self-organizes spontaneously. These phenomena are discussed from a specific dynamical system perspective. Central is the dedicated working regime at the border to instability with its potentially infinite reservoir of (limit cycle) attractors "waiting" to be excited. Besides converging toward one of these attractors, variate behavior is also arising from a self-induced attractor morphing driven by the learning rule. We claim that experimental investigations with this anthropomorphic, self-learning robot not only generate interesting and potentially useful behaviors, but may also help to better understand what subjective human muscle feelings are, how they can be rooted in sensorimotor patterns, and how these concepts may feed back on robotics."}],"intvolume":" 11","month":"03","scopus_import":1,"user_id":"2EBD1598-F248-11E8-B48F-1D18A9856A87","citation":{"ista":"Der R, Martius GS. 2017. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 11(MAR), 00008.","chicago":"Der, Ralf, and Georg S Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.” Frontiers in Neurorobotics. Frontiers Research Foundation, 2017. https://doi.org/10.3389/fnbot.2017.00008.","ama":"Der R, Martius GS. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 2017;11(MAR). doi:10.3389/fnbot.2017.00008","apa":"Der, R., & Martius, G. S. (2017). Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. Frontiers Research Foundation. https://doi.org/10.3389/fnbot.2017.00008","short":"R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).","ieee":"R. Der and G. S. Martius, “Self organized behavior generation for musculoskeletal robots,” Frontiers in Neurorobotics, vol. 11, no. MAR. Frontiers Research Foundation, 2017.","mla":"Der, Ralf, and Georg S. Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.” Frontiers in Neurorobotics, vol. 11, no. MAR, 00008, Frontiers Research Foundation, 2017, doi:10.3389/fnbot.2017.00008."},"title":"Self organized behavior generation for musculoskeletal robots","article_processing_charge":"Yes","author":[{"first_name":"Ralf","full_name":"Der, Ralf","last_name":"Der"},{"last_name":"Martius","full_name":"Martius, Georg S","id":"3A276B68-F248-11E8-B48F-1D18A9856A87","first_name":"Georg S"}],"publist_id":"7078","article_number":"00008","project":[{"call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425","name":"International IST Postdoc Fellowship Programme","grant_number":"291734"}],"publication":"Frontiers in Neurorobotics","day":"16","year":"2017","has_accepted_license":"1","date_created":"2018-12-11T11:47:45Z","date_published":"2017-03-16T00:00:00Z","doi":"10.3389/fnbot.2017.00008","oa":1,"quality_controlled":"1","publisher":"Frontiers Research Foundation"},{"volume":8,"publication_identifier":{"issn":["20411723"]},"publication_status":"published","file":[{"date_created":"2018-12-12T10:14:21Z","file_name":"IST-2017-902-v1+1_Kage_et_al-2017-Nature_Communications.pdf","date_updated":"2020-07-14T12:47:34Z","file_size":9523746,"creator":"system","file_id":"5072","checksum":"dae30190291c3630e8102d8714a8d23e","content_type":"application/pdf","access_level":"open_access","relation":"main_file"}],"language":[{"iso":"eng"}],"scopus_import":1,"month":"03","intvolume":" 8","abstract":[{"lang":"eng","text":"Migration frequently involves Rac-mediated protrusion of lamellipodia, formed by Arp2/3 complex-dependent branching thought to be crucial for force generation and stability of these networks. The formins FMNL2 and FMNL3 are Cdc42 effectors targeting to the lamellipodium tip and shown here to nucleate and elongate actin filaments with complementary activities in vitro. In migrating B16-F1 melanoma cells, both formins contribute to the velocity of lamellipodium protrusion. Loss of FMNL2/3 function in melanoma cells and fibroblasts reduces lamellipodial width, actin filament density and -bundling, without changing patterns of Arp2/3 complex incorporation. Strikingly, in melanoma cells, FMNL2/3 gene inactivation almost completely abolishes protrusion forces exerted by lamellipodia and modifies their ultrastructural organization. Consistently, CRISPR/Cas-mediated depletion of FMNL2/3 in fibroblasts reduces both migration and capability of cells to move against viscous media. Together, we conclude that force generation in lamellipodia strongly depends on FMNL formin activity, operating in addition to Arp2/3 complex-dependent filament branching."}],"oa_version":"Published Version","file_date_updated":"2020-07-14T12:47:34Z","department":[{"_id":"MiSi"}],"date_updated":"2021-01-12T08:08:06Z","ddc":["570"],"type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","pubrep_id":"902","_id":"659","date_published":"2017-03-22T00:00:00Z","doi":"10.1038/ncomms14832","date_created":"2018-12-11T11:47:46Z","has_accepted_license":"1","year":"2017","day":"22","publication":"Nature Communications","publisher":"Nature Publishing Group","quality_controlled":"1","oa":1,"publist_id":"7075","author":[{"first_name":"Frieda","last_name":"Kage","full_name":"Kage, Frieda"},{"first_name":"Moritz","last_name":"Winterhoff","full_name":"Winterhoff, Moritz"},{"first_name":"Vanessa","full_name":"Dimchev, Vanessa","last_name":"Dimchev"},{"id":"AD07FDB4-0F61-11EA-8158-C4CC64CEAA8D","first_name":"Jan","last_name":"Müller","full_name":"Müller, Jan"},{"first_name":"Tobias","last_name":"Thalheim","full_name":"Thalheim, Tobias"},{"full_name":"Freise, Anika","last_name":"Freise","first_name":"Anika"},{"first_name":"Stefan","last_name":"Brühmann","full_name":"Brühmann, Stefan"},{"first_name":"Jana","last_name":"Kollasser","full_name":"Kollasser, Jana"},{"first_name":"Jennifer","full_name":"Block, Jennifer","last_name":"Block"},{"last_name":"Dimchev","full_name":"Dimchev, Georgi A","first_name":"Georgi A"},{"last_name":"Geyer","full_name":"Geyer, Matthias","first_name":"Matthias"},{"first_name":"Hams","full_name":"Schnittler, Hams","last_name":"Schnittler"},{"first_name":"Cord","last_name":"Brakebusch","full_name":"Brakebusch, Cord"},{"last_name":"Stradal","full_name":"Stradal, Theresia","first_name":"Theresia"},{"full_name":"Carlier, Marie","last_name":"Carlier","first_name":"Marie"},{"full_name":"Sixt, Michael K","orcid":"0000-0002-6620-9179","last_name":"Sixt","first_name":"Michael K","id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Josef","last_name":"Käs","full_name":"Käs, Josef"},{"full_name":"Faix, Jan","last_name":"Faix","first_name":"Jan"},{"first_name":"Klemens","full_name":"Rottner, Klemens","last_name":"Rottner"}],"article_processing_charge":"No","title":"FMNL formins boost lamellipodial force generation","citation":{"mla":"Kage, Frieda, et al. “FMNL Formins Boost Lamellipodial Force Generation.” Nature Communications, vol. 8, 14832, Nature Publishing Group, 2017, doi:10.1038/ncomms14832.","ama":"Kage F, Winterhoff M, Dimchev V, et al. FMNL formins boost lamellipodial force generation. Nature Communications. 2017;8. doi:10.1038/ncomms14832","apa":"Kage, F., Winterhoff, M., Dimchev, V., Müller, J., Thalheim, T., Freise, A., … Rottner, K. (2017). FMNL formins boost lamellipodial force generation. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms14832","short":"F. Kage, M. Winterhoff, V. Dimchev, J. Müller, T. Thalheim, A. Freise, S. Brühmann, J. Kollasser, J. Block, G.A. Dimchev, M. Geyer, H. Schnittler, C. Brakebusch, T. Stradal, M. Carlier, M.K. Sixt, J. Käs, J. Faix, K. Rottner, Nature Communications 8 (2017).","ieee":"F. Kage et al., “FMNL formins boost lamellipodial force generation,” Nature Communications, vol. 8. Nature Publishing Group, 2017.","chicago":"Kage, Frieda, Moritz Winterhoff, Vanessa Dimchev, Jan Müller, Tobias Thalheim, Anika Freise, Stefan Brühmann, et al. “FMNL Formins Boost Lamellipodial Force Generation.” Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/ncomms14832.","ista":"Kage F, Winterhoff M, Dimchev V, Müller J, Thalheim T, Freise A, Brühmann S, Kollasser J, Block J, Dimchev GA, Geyer M, Schnittler H, Brakebusch C, Stradal T, Carlier M, Sixt MK, Käs J, Faix J, Rottner K. 2017. FMNL formins boost lamellipodial force generation. Nature Communications. 8, 14832."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","article_number":"14832"},{"date_updated":"2021-01-12T08:08:09Z","department":[{"_id":"MaLo"}],"_id":"660","status":"public","type":"journal_article","language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"issn":["00278424"]},"issue":"13","volume":114,"pmid":1,"oa_version":"Submitted Version","abstract":[{"text":"Growing microtubules are protected from depolymerization by the presence of a GTP or GDP/Pi cap. End-binding proteins of the EB1 family bind to the stabilizing cap, allowing monitoring of its size in real time. The cap size has been shown to correlate with instantaneous microtubule stability. Here we have quantitatively characterized the properties of cap size fluctuations during steadystate growth and have developed a theory predicting their timescale and amplitude from the kinetics of microtubule growth and cap maturation. In contrast to growth speed fluctuations, cap size fluctuations show a characteristic timescale, which is defined by the lifetime of the cap sites. Growth fluctuations affect the amplitude of cap size fluctuations; however, cap size does not affect growth speed, indicating that microtubules are far from instability during most of their time of growth. Our theory provides the basis for a quantitative understanding of microtubule stability fluctuations during steady-state growth.","lang":"eng"}],"intvolume":" 114","month":"03","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380103/","open_access":"1"}],"scopus_import":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ieee":"J. Rickman, C. F. Düllberg, N. Cade, L. Griffin, and T. Surrey, “Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation,” PNAS, vol. 114, no. 13. National Academy of Sciences, pp. 3427–3432, 2017.","short":"J. Rickman, C.F. Düllberg, N. Cade, L. Griffin, T. Surrey, PNAS 114 (2017) 3427–3432.","apa":"Rickman, J., Düllberg, C. F., Cade, N., Griffin, L., & Surrey, T. (2017). Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1620274114","ama":"Rickman J, Düllberg CF, Cade N, Griffin L, Surrey T. Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. PNAS. 2017;114(13):3427-3432. doi:10.1073/pnas.1620274114","mla":"Rickman, Jamie, et al. “Steady State EB Cap Size Fluctuations Are Determined by Stochastic Microtubule Growth and Maturation.” PNAS, vol. 114, no. 13, National Academy of Sciences, 2017, pp. 3427–32, doi:10.1073/pnas.1620274114.","ista":"Rickman J, Düllberg CF, Cade N, Griffin L, Surrey T. 2017. Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. PNAS. 114(13), 3427–3432.","chicago":"Rickman, Jamie, Christian F Düllberg, Nicholas Cade, Lewis Griffin, and Thomas Surrey. “Steady State EB Cap Size Fluctuations Are Determined by Stochastic Microtubule Growth and Maturation.” PNAS. National Academy of Sciences, 2017. https://doi.org/10.1073/pnas.1620274114."},"title":"Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation","external_id":{"pmid":["28280102"]},"publist_id":"7073","author":[{"last_name":"Rickman","full_name":"Rickman, Jamie","first_name":"Jamie"},{"last_name":"Düllberg","orcid":"0000-0001-6335-9748","full_name":"Düllberg, Christian F","first_name":"Christian F","id":"459064DC-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Cade","full_name":"Cade, Nicholas","first_name":"Nicholas"},{"first_name":"Lewis","full_name":"Griffin, Lewis","last_name":"Griffin"},{"first_name":"Thomas","full_name":"Surrey, Thomas","last_name":"Surrey"}],"publication":"PNAS","day":"28","year":"2017","date_created":"2018-12-11T11:47:46Z","date_published":"2017-03-28T00:00:00Z","doi":"10.1073/pnas.1620274114","page":"3427 - 3432","acknowledgement":"We thank Philippe Cluzel for helpful discussions and Gunnar Pruessner for data analysis advice. This work was supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK Grant FC001163, Medical Research Council Grant FC001163, and Wellcome Trust Grant FC001163. This work was also supported by European Research Council Advanced Grant Project 323042 (to C.D. and T.S.).","oa":1,"publisher":"National Academy of Sciences","quality_controlled":"1"},{"oa_version":"Submitted Version","abstract":[{"text":"We report a direct-numerical-simulation study of the Taylor-Couette flow in the quasi-Keplerian regime at shear Reynolds numbers up to (105). Quasi-Keplerian rotating flow has been investigated for decades as a simplified model system to study the origin of turbulence in accretion disks that is not fully understood. The flow in this study is axially periodic and thus the experimental end-wall effects on the stability of the flow are avoided. Using optimal linear perturbations as initial conditions, our simulations find no sustained turbulence: the strong initial perturbations distort the velocity profile and trigger turbulence that eventually decays.","lang":"eng"}],"month":"04","intvolume":" 29","scopus_import":1,"main_file_link":[{"url":"https://arxiv.org/abs/1703.01714","open_access":"1"}],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["10706631"]},"publication_status":"published","issue":"4","volume":29,"_id":"662","status":"public","type":"journal_article","date_updated":"2021-01-12T08:08:15Z","department":[{"_id":"BjHo"}],"quality_controlled":"1","publisher":"American Institute of Physics","oa":1,"day":"01","publication":"Physics of Fluids","year":"2017","date_published":"2017-04-01T00:00:00Z","doi":"10.1063/1.4981525","date_created":"2018-12-11T11:47:47Z","article_number":"044107","project":[{"grant_number":"SFB 963 TP A8","name":"Astrophysical instability of currents and turbulences","_id":"2511D90C-B435-11E9-9278-68D0E5697425"}],"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Shi, Liang, et al. “Hydrodynamic Turbulence in Quasi Keplerian Rotating Flows.” Physics of Fluids, vol. 29, no. 4, 044107, American Institute of Physics, 2017, doi:10.1063/1.4981525.","short":"L. Shi, B. Hof, M. Rampp, M. Avila, Physics of Fluids 29 (2017).","ieee":"L. Shi, B. Hof, M. Rampp, and M. Avila, “Hydrodynamic turbulence in quasi Keplerian rotating flows,” Physics of Fluids, vol. 29, no. 4. American Institute of Physics, 2017.","apa":"Shi, L., Hof, B., Rampp, M., & Avila, M. (2017). Hydrodynamic turbulence in quasi Keplerian rotating flows. Physics of Fluids. American Institute of Physics. https://doi.org/10.1063/1.4981525","ama":"Shi L, Hof B, Rampp M, Avila M. Hydrodynamic turbulence in quasi Keplerian rotating flows. Physics of Fluids. 2017;29(4). doi:10.1063/1.4981525","chicago":"Shi, Liang, Björn Hof, Markus Rampp, and Marc Avila. “Hydrodynamic Turbulence in Quasi Keplerian Rotating Flows.” Physics of Fluids. American Institute of Physics, 2017. https://doi.org/10.1063/1.4981525.","ista":"Shi L, Hof B, Rampp M, Avila M. 2017. Hydrodynamic turbulence in quasi Keplerian rotating flows. Physics of Fluids. 29(4), 044107."},"title":"Hydrodynamic turbulence in quasi Keplerian rotating flows","publist_id":"7072","author":[{"full_name":"Shi, Liang","last_name":"Shi","first_name":"Liang"},{"last_name":"Hof","full_name":"Hof, Björn","orcid":"0000-0003-2057-2754","first_name":"Björn","id":"3A374330-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Markus","last_name":"Rampp","full_name":"Rampp, Markus"},{"first_name":"Marc","full_name":"Avila, Marc","last_name":"Avila"}]},{"title":"Safety verification of nonlinear hybrid systems based on invariant clusters","publist_id":"7067","author":[{"last_name":"Kong","orcid":"0000-0002-3066-6941","full_name":"Kong, Hui","id":"3BDE25AA-F248-11E8-B48F-1D18A9856A87","first_name":"Hui"},{"full_name":"Bogomolov, Sergiy","orcid":"0000-0002-0686-0365","last_name":"Bogomolov","first_name":"Sergiy"},{"first_name":"Christian","full_name":"Schilling, Christian","last_name":"Schilling"},{"first_name":"Yu","full_name":"Jiang, Yu","last_name":"Jiang"},{"orcid":"0000−0002−2985−7724","full_name":"Henzinger, Thomas A","last_name":"Henzinger","first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Kong, Hui, Sergiy Bogomolov, Christian Schilling, Yu Jiang, and Thomas A Henzinger. “Safety Verification of Nonlinear Hybrid Systems Based on Invariant Clusters.” In Proceedings of the 20th International Conference on Hybrid Systems, 163–72. ACM, 2017. https://doi.org/10.1145/3049797.3049814.","ista":"Kong H, Bogomolov S, Schilling C, Jiang Y, Henzinger TA. 2017. Safety verification of nonlinear hybrid systems based on invariant clusters. Proceedings of the 20th International Conference on Hybrid Systems. HSCC: Hybrid Systems Computation and Control , 163–172.","mla":"Kong, Hui, et al. “Safety Verification of Nonlinear Hybrid Systems Based on Invariant Clusters.” Proceedings of the 20th International Conference on Hybrid Systems, ACM, 2017, pp. 163–72, doi:10.1145/3049797.3049814.","short":"H. Kong, S. Bogomolov, C. Schilling, Y. Jiang, T.A. Henzinger, in:, Proceedings of the 20th International Conference on Hybrid Systems, ACM, 2017, pp. 163–172.","ieee":"H. Kong, S. Bogomolov, C. Schilling, Y. Jiang, and T. A. Henzinger, “Safety verification of nonlinear hybrid systems based on invariant clusters,” in Proceedings of the 20th International Conference on Hybrid Systems, Pittsburgh, PA, United States, 2017, pp. 163–172.","ama":"Kong H, Bogomolov S, Schilling C, Jiang Y, Henzinger TA. Safety verification of nonlinear hybrid systems based on invariant clusters. In: Proceedings of the 20th International Conference on Hybrid Systems. ACM; 2017:163-172. doi:10.1145/3049797.3049814","apa":"Kong, H., Bogomolov, S., Schilling, C., Jiang, Y., & Henzinger, T. A. (2017). Safety verification of nonlinear hybrid systems based on invariant clusters. In Proceedings of the 20th International Conference on Hybrid Systems (pp. 163–172). Pittsburgh, PA, United States: ACM. https://doi.org/10.1145/3049797.3049814"},"oa":1,"quality_controlled":"1","publisher":"ACM","date_created":"2018-12-11T11:47:47Z","date_published":"2017-04-01T00:00:00Z","doi":"10.1145/3049797.3049814","page":"163 - 172","publication":"Proceedings of the 20th International Conference on Hybrid Systems","day":"01","year":"2017","has_accepted_license":"1","pubrep_id":"817","status":"public","conference":{"start_date":"2017-04-18","location":"Pittsburgh, PA, United States","end_date":"2017-04-20","name":"HSCC: Hybrid Systems Computation and Control "},"type":"conference","_id":"663","department":[{"_id":"ToHe"}],"file_date_updated":"2020-07-14T12:47:34Z","ddc":["000"],"date_updated":"2021-01-12T08:08:17Z","month":"04","scopus_import":1,"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"In this paper, we propose an approach to automatically compute invariant clusters for nonlinear semialgebraic hybrid systems. An invariant cluster for an ordinary differential equation (ODE) is a multivariate polynomial invariant g(u→, x→) = 0, parametric in u→, which can yield an infinite number of concrete invariants by assigning different values to u→ so that every trajectory of the system can be overapproximated precisely by the intersection of a group of concrete invariants. For semialgebraic systems, which involve ODEs with multivariate polynomial right-hand sides, given a template multivariate polynomial g(u→, x→), an invariant cluster can be obtained by first computing the remainder of the Lie derivative of g(u→, x→) divided by g(u→, x→) and then solving the system of polynomial equations obtained from the coefficients of the remainder. Based on invariant clusters and sum-of-squares (SOS) programming, we present a new method for the safety verification of hybrid systems. Experiments on nonlinear benchmark systems from biology and control theory show that our approach is efficient. 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The antisocial side of antibiotics. Science Translational Medicine. 2017;9(387). doi:10.1126/scitranslmed.aan2786","apa":"Novarino, G. (2017). The antisocial side of antibiotics. Science Translational Medicine. American Association for the Advancement of Science. https://doi.org/10.1126/scitranslmed.aan2786","ieee":"G. Novarino, “The antisocial side of antibiotics,” Science Translational Medicine, vol. 9, no. 387. American Association for the Advancement of Science, 2017.","short":"G. Novarino, Science Translational Medicine 9 (2017).","mla":"Novarino, Gaia. “The Antisocial Side of Antibiotics.” Science Translational Medicine, vol. 9, no. 387, 2786, American Association for the Advancement of Science, 2017, doi:10.1126/scitranslmed.aan2786.","ista":"Novarino G. 2017. The antisocial side of antibiotics. Science Translational Medicine. 9(387), 2786.","chicago":"Novarino, Gaia. “The Antisocial Side of Antibiotics.” Science Translational Medicine. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/scitranslmed.aan2786."},"date_updated":"2021-01-12T08:08:30Z","title":"The antisocial side of antibiotics","department":[{"_id":"GaNo"}],"publist_id":"7060","author":[{"last_name":"Novarino","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","first_name":"Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87"}]}]