[{"author":[{"last_name":"Varshney","first_name":"Atul","orcid":"0000-0002-3072-5999","id":"2A2006B2-F248-11E8-B48F-1D18A9856A87","full_name":"Varshney, Atul"},{"first_name":"Victor","last_name":"Steinberg","full_name":"Steinberg, Victor"}],"date_updated":"2023-09-13T08:57:05Z","date_created":"2018-12-11T11:44:10Z","volume":3,"acknowledgement":"This work was partially supported by the Israel Science Foundation (ISF; Grant No. 882/15) and the Binational USA-Israel Foundation (BSF; Grant No. 2016145).","year":"2018","publication_status":"published","department":[{"_id":"BjHo"}],"publisher":"American Physical Society","file_date_updated":"2020-07-14T12:45:04Z","ec_funded":1,"publist_id":"8039","article_number":"103303","doi":"10.1103/PhysRevFluids.3.103303","language":[{"iso":"eng"}],"oa":1,"external_id":{"isi":["000447469200001"]},"quality_controlled":"1","isi":1,"project":[{"grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships"}],"month":"10","pubrep_id":"1062","oa_version":"Submitted Version","file":[{"file_id":"5043","relation":"main_file","date_updated":"2020-07-14T12:45:04Z","date_created":"2018-12-12T10:13:56Z","checksum":"7fc0a2322214d1c04debef36d5bf2e8a","file_name":"IST-2018-1062-v1+1_PhysRevFluids.3.103303.pdf","access_level":"open_access","creator":"system","file_size":1838431,"content_type":"application/pdf"}],"_id":"16","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","ddc":["532"],"title":"Mixing layer instability and vorticity amplification in a creeping viscoelastic flow","intvolume":" 3","abstract":[{"lang":"eng","text":"We report quantitative evidence of mixing-layer elastic instability in a viscoelastic fluid flow between two widely spaced obstacles hindering a channel flow at Re 1 and Wi 1. Two mixing layers with nonuniform shear velocity profiles are formed in the region between the obstacles. The mixing-layer instability arises in the vicinity of an inflection point on the shear velocity profile with a steep variation in the elastic stress. The instability results in an intermittent appearance of small vortices in the mixing layers and an amplification of spatiotemporal averaged vorticity in the elastic turbulence regime. The latter is characterized through scaling of friction factor with Wi and both pressure and velocity spectra. Furthermore, the observations reported provide improved understanding of the stability of the mixing layer in a viscoelastic fluid at large elasticity, i.e., Wi 1 and Re 1 and oppose the current view of suppression of vorticity solely by polymer additives."}],"issue":"10","type":"journal_article","date_published":"2018-10-16T00:00:00Z","publication":"Physical Review Fluids","citation":{"ama":"Varshney A, Steinberg V. Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. 2018;3(10). doi:10.1103/PhysRevFluids.3.103303","apa":"Varshney, A., & Steinberg, V. (2018). Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. American Physical Society. https://doi.org/10.1103/PhysRevFluids.3.103303","ieee":"A. Varshney and V. Steinberg, “Mixing layer instability and vorticity amplification in a creeping viscoelastic flow,” Physical Review Fluids, vol. 3, no. 10. American Physical Society, 2018.","ista":"Varshney A, Steinberg V. 2018. Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. 3(10), 103303.","short":"A. Varshney, V. Steinberg, Physical Review Fluids 3 (2018).","mla":"Varshney, Atul, and Victor Steinberg. “Mixing Layer Instability and Vorticity Amplification in a Creeping Viscoelastic Flow.” Physical Review Fluids, vol. 3, no. 10, 103303, American Physical Society, 2018, doi:10.1103/PhysRevFluids.3.103303.","chicago":"Varshney, Atul, and Victor Steinberg. “Mixing Layer Instability and Vorticity Amplification in a Creeping Viscoelastic Flow.” Physical Review Fluids. American Physical Society, 2018. https://doi.org/10.1103/PhysRevFluids.3.103303."},"article_type":"original","day":"16","has_accepted_license":"1","article_processing_charge":"No","scopus_import":"1"},{"project":[{"grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020"}],"isi":1,"quality_controlled":"1","oa":1,"external_id":{"isi":["000447491300057"]},"language":[{"iso":"eng"}],"doi":"10.1073/pnas.1721061115","month":"10","department":[{"_id":"DaAl"}],"publisher":"National Academy of Sciences","publication_status":"published","year":"2018","acknowledgement":"J.R. and J.V.A. were also supported by the Academy of Finland Grants 1273253 and 267541.","volume":115,"date_created":"2018-12-11T11:44:19Z","date_updated":"2023-09-13T08:57:38Z","author":[{"orcid":"0000-0002-6432-6646","id":"334EFD2E-F248-11E8-B48F-1D18A9856A87","last_name":"Rybicki","first_name":"Joel","full_name":"Rybicki, Joel"},{"full_name":"Kisdi, Eva","first_name":"Eva","last_name":"Kisdi"},{"first_name":"Jani","last_name":"Anttila","full_name":"Anttila, Jani"}],"publist_id":"8011","ec_funded":1,"file_date_updated":"2020-07-14T12:46:26Z","page":"10690 - 10695","citation":{"chicago":"Rybicki, Joel, Eva Kisdi, and Jani Anttila. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” PNAS. National Academy of Sciences, 2018. https://doi.org/10.1073/pnas.1721061115.","short":"J. Rybicki, E. Kisdi, J. Anttila, PNAS 115 (2018) 10690–10695.","mla":"Rybicki, Joel, et al. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” PNAS, vol. 115, no. 42, National Academy of Sciences, 2018, pp. 10690–95, doi:10.1073/pnas.1721061115.","ieee":"J. Rybicki, E. Kisdi, and J. Anttila, “Model of bacterial toxin-dependent pathogenesis explains infective dose,” PNAS, vol. 115, no. 42. National Academy of Sciences, pp. 10690–10695, 2018.","apa":"Rybicki, J., Kisdi, E., & Anttila, J. (2018). Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1721061115","ista":"Rybicki J, Kisdi E, Anttila J. 2018. Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. 115(42), 10690–10695.","ama":"Rybicki J, Kisdi E, Anttila J. Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. 2018;115(42):10690-10695. doi:10.1073/pnas.1721061115"},"publication":"PNAS","date_published":"2018-10-02T00:00:00Z","scopus_import":"1","article_processing_charge":"No","has_accepted_license":"1","day":"02","intvolume":" 115","status":"public","ddc":["570","577"],"title":"Model of bacterial toxin-dependent pathogenesis explains infective dose","_id":"43","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","file":[{"checksum":"df7ac544a587c06b75692653b9fabd18","date_created":"2019-04-09T08:02:50Z","date_updated":"2020-07-14T12:46:26Z","file_id":"6258","relation":"main_file","creator":"dernst","file_size":4070777,"content_type":"application/pdf","access_level":"open_access","file_name":"2018_PNAS_Rybicki.pdf"}],"oa_version":"Submitted Version","pubrep_id":"1063","type":"journal_article","issue":"42","abstract":[{"lang":"eng","text":"The initial amount of pathogens required to start an infection within a susceptible host is called the infective dose and is known to vary to a large extent between different pathogen species. We investigate the hypothesis that the differences in infective doses are explained by the mode of action in the underlying mechanism of pathogenesis: Pathogens with locally acting mechanisms tend to have smaller infective doses than pathogens with distantly acting mechanisms. While empirical evidence tends to support the hypothesis, a formal theoretical explanation has been lacking. We give simple analytical models to gain insight into this phenomenon and also investigate a stochastic, spatially explicit, mechanistic within-host model for toxin-dependent bacterial infections. The model shows that pathogens secreting locally acting toxins have smaller infective doses than pathogens secreting diffusive toxins, as hypothesized. While local pathogenetic mechanisms require smaller infective doses, pathogens with distantly acting toxins tend to spread faster and may cause more damage to the host. The proposed model can serve as a basis for the spatially explicit analysis of various virulence factors also in the context of other problems in infection dynamics."}]},{"scopus_import":"1","day":"04","article_processing_charge":"No","has_accepted_license":"1","publication":"ACM Trans. Graph.","citation":{"short":"T. Alderighi, L. Malomo, D. Giorgi, N. Pietroni, B. Bickel, P. Cignoni, ACM Trans. Graph. 37 (2018).","mla":"Alderighi, Thomas, et al. “Metamolds: Computational Design of Silicone Molds.” ACM Trans. Graph., vol. 37, no. 4, 136, ACM, 2018, doi:10.1145/3197517.3201381.","chicago":"Alderighi, Thomas, Luigi Malomo, Daniela Giorgi, Nico Pietroni, Bernd Bickel, and Paolo Cignoni. “Metamolds: Computational Design of Silicone Molds.” ACM Trans. Graph. ACM, 2018. https://doi.org/10.1145/3197517.3201381.","ama":"Alderighi T, Malomo L, Giorgi D, Pietroni N, Bickel B, Cignoni P. Metamolds: Computational design of silicone molds. ACM Trans Graph. 2018;37(4). doi:10.1145/3197517.3201381","ieee":"T. Alderighi, L. Malomo, D. Giorgi, N. Pietroni, B. Bickel, and P. Cignoni, “Metamolds: Computational design of silicone molds,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.","apa":"Alderighi, T., Malomo, L., Giorgi, D., Pietroni, N., Bickel, B., & Cignoni, P. (2018). Metamolds: Computational design of silicone molds. ACM Trans. Graph. ACM. https://doi.org/10.1145/3197517.3201381","ista":"Alderighi T, Malomo L, Giorgi D, Pietroni N, Bickel B, Cignoni P. 2018. Metamolds: Computational design of silicone molds. ACM Trans. Graph. 37(4), 136."},"date_published":"2018-08-04T00:00:00Z","type":"journal_article","abstract":[{"text":"We propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require changing the shape or topology of the input objects, and only requires off-the- shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detail. © 2018 Association for Computing Machinery.","lang":"eng"}],"issue":"4","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"13","ddc":["004"],"status":"public","title":"Metamolds: Computational design of silicone molds","intvolume":" 37","pubrep_id":"1038","oa_version":"Submitted Version","file":[{"creator":"system","content_type":"application/pdf","file_size":91939066,"access_level":"open_access","file_name":"IST-2018-1038-v1+1_metamolds_authorversion.pdf","checksum":"61d46273dca4de626accef1d17a0aaad","date_created":"2018-12-12T10:18:52Z","date_updated":"2020-07-14T12:44:43Z","file_id":"5374","relation":"main_file"}],"month":"08","external_id":{"isi":["000448185000097"]},"oa":1,"isi":1,"quality_controlled":"1","project":[{"call_identifier":"H2020","name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","grant_number":"715767","_id":"24F9549A-B435-11E9-9278-68D0E5697425"}],"doi":"10.1145/3197517.3201381","language":[{"iso":"eng"}],"article_number":"136","file_date_updated":"2020-07-14T12:44:43Z","publist_id":"8043","ec_funded":1,"year":"2018","publication_status":"published","department":[{"_id":"BeBi"}],"publisher":"ACM","author":[{"last_name":"Alderighi","first_name":"Thomas","full_name":"Alderighi, Thomas"},{"full_name":"Malomo, Luigi","first_name":"Luigi","last_name":"Malomo"},{"full_name":"Giorgi, Daniela","last_name":"Giorgi","first_name":"Daniela"},{"full_name":"Pietroni, Nico","last_name":"Pietroni","first_name":"Nico"},{"full_name":"Bickel, Bernd","id":"49876194-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6511-9385","first_name":"Bernd","last_name":"Bickel"},{"full_name":"Cignoni, Paolo","first_name":"Paolo","last_name":"Cignoni"}],"related_material":{"link":[{"relation":"press_release","description":"News on IST Homepage","url":"https://ist.ac.at/en/news/metamolds-molding-a-mold/"}]},"date_created":"2018-12-11T11:44:09Z","date_updated":"2023-09-13T08:56:07Z","volume":37},{"type":"journal_article","abstract":[{"lang":"eng","text":"Fluorescent sensors are an essential part of the experimental toolbox of the life sciences, where they are used ubiquitously to visualize intra- and extracellular signaling. In the brain, optical neurotransmitter sensors can shed light on temporal and spatial aspects of signal transmission by directly observing, for instance, neurotransmitter release and spread. Here we report the development and application of the first optical sensor for the amino acid glycine, which is both an inhibitory neurotransmitter and a co-agonist of the N-methyl-d-aspartate receptors (NMDARs) involved in synaptic plasticity. Computational design of a glycine-specific binding protein allowed us to produce the optical glycine FRET sensor (GlyFS), which can be used with single and two-photon excitation fluorescence microscopy. We took advantage of this newly developed sensor to test predictions about the uneven spatial distribution of glycine in extracellular space and to demonstrate that extracellular glycine levels are controlled by plasticity-inducing stimuli."}],"issue":"9","title":"Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS","status":"public","intvolume":" 14","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"137","oa_version":"Submitted Version","scopus_import":"1","day":"30","article_processing_charge":"No","article_type":"original","page":"861 - 869","publication":"Nature Chemical Biology","citation":{"ista":"Zhang W, Herde M, Mitchell J, Whitfield J, Wulff A, Vongsouthi V, Sanchez-Romero I, Gulakova P, Minge D, Breithausen B, Schoch S, Janovjak HL, Jackson C, Henneberger C. 2018. Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. 14(9), 861–869.","ieee":"W. Zhang et al., “Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS,” Nature Chemical Biology, vol. 14, no. 9. Nature Publishing Group, pp. 861–869, 2018.","apa":"Zhang, W., Herde, M., Mitchell, J., Whitfield, J., Wulff, A., Vongsouthi, V., … Henneberger, C. (2018). Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/s41589-018-0108-2","ama":"Zhang W, Herde M, Mitchell J, et al. Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. 2018;14(9):861-869. doi:10.1038/s41589-018-0108-2","chicago":"Zhang, William, Michel Herde, Joshua Mitchell, Jason Whitfield, Andreas Wulff, Vanessa Vongsouthi, Inmaculada Sanchez-Romero, et al. “Monitoring Hippocampal Glycine with the Computationally Designed Optical Sensor GlyFS.” Nature Chemical Biology. Nature Publishing Group, 2018. https://doi.org/10.1038/s41589-018-0108-2.","mla":"Zhang, William, et al. “Monitoring Hippocampal Glycine with the Computationally Designed Optical Sensor GlyFS.” Nature Chemical Biology, vol. 14, no. 9, Nature Publishing Group, 2018, pp. 861–69, doi:10.1038/s41589-018-0108-2.","short":"W. Zhang, M. Herde, J. Mitchell, J. Whitfield, A. Wulff, V. Vongsouthi, I. Sanchez-Romero, P. Gulakova, D. Minge, B. Breithausen, S. Schoch, H.L. Janovjak, C. Jackson, C. Henneberger, Nature Chemical Biology 14 (2018) 861–869."},"date_published":"2018-07-30T00:00:00Z","publist_id":"7786","publication_status":"published","department":[{"_id":"HaJa"}],"publisher":"Nature Publishing Group","year":"2018","pmid":1,"date_updated":"2023-09-13T08:58:05Z","date_created":"2018-12-11T11:44:49Z","volume":14,"author":[{"full_name":"Zhang, William","last_name":"Zhang","first_name":"William"},{"first_name":"Michel","last_name":"Herde","full_name":"Herde, Michel"},{"full_name":"Mitchell, Joshua","last_name":"Mitchell","first_name":"Joshua"},{"last_name":"Whitfield","first_name":"Jason","full_name":"Whitfield, Jason"},{"full_name":"Wulff, Andreas","last_name":"Wulff","first_name":"Andreas"},{"first_name":"Vanessa","last_name":"Vongsouthi","full_name":"Vongsouthi, Vanessa"},{"full_name":"Sanchez Romero, Inmaculada","last_name":"Sanchez Romero","first_name":"Inmaculada","id":"3D9C5D30-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Gulakova, Polina","first_name":"Polina","last_name":"Gulakova"},{"last_name":"Minge","first_name":"Daniel","full_name":"Minge, Daniel"},{"last_name":"Breithausen","first_name":"Björn","full_name":"Breithausen, Björn"},{"full_name":"Schoch, Susanne","first_name":"Susanne","last_name":"Schoch"},{"full_name":"Janovjak, Harald L","first_name":"Harald L","last_name":"Janovjak","id":"33BA6C30-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8023-9315"},{"first_name":"Colin","last_name":"Jackson","full_name":"Jackson, Colin"},{"full_name":"Henneberger, Christian","last_name":"Henneberger","first_name":"Christian"}],"month":"07","isi":1,"quality_controlled":"1","project":[{"grant_number":"RGY0084/2012","_id":"255BFFFA-B435-11E9-9278-68D0E5697425","name":"In situ real-time imaging of neurotransmitter signaling using designer optical sensors (HFSP Young Investigator)"}],"oa":1,"main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pubmed/30061718","open_access":"1"}],"external_id":{"isi":["000442174500013"],"pmid":["30061718 "]},"language":[{"iso":"eng"}],"doi":"10.1038/s41589-018-0108-2"},{"publication_identifier":{"issn":["0091679X"]},"month":"07","isi":1,"quality_controlled":"1","external_id":{"pmid":["30165964"],"isi":["000452412300006"]},"language":[{"iso":"eng"}],"doi":"10.1016/bs.mcb.2018.07.004","publist_id":"7768","department":[{"_id":"MiSi"},{"_id":"NanoFab"}],"publisher":"Academic Press","publication_status":"published","pmid":1,"year":"2018","volume":147,"date_updated":"2023-09-13T08:56:35Z","date_created":"2018-12-11T11:44:54Z","author":[{"first_name":"Jörg","last_name":"Renkawitz","id":"3F0587C8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2856-3369","full_name":"Renkawitz, Jörg"},{"full_name":"Reversat, Anne","orcid":"0000-0003-0666-8928","id":"35B76592-F248-11E8-B48F-1D18A9856A87","last_name":"Reversat","first_name":"Anne"},{"full_name":"Leithner, Alexander F","last_name":"Leithner","first_name":"Alexander F","orcid":"0000-0002-1073-744X","id":"3B1B77E4-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Merrin, Jack","orcid":"0000-0001-5145-4609","id":"4515C308-F248-11E8-B48F-1D18A9856A87","last_name":"Merrin","first_name":"Jack"},{"full_name":"Sixt, Michael K","id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6620-9179","first_name":"Michael K","last_name":"Sixt"}],"scopus_import":"1","article_processing_charge":"No","day":"27","page":"79 - 91","citation":{"ama":"Renkawitz J, Reversat A, Leithner AF, Merrin J, Sixt MK. Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In: Methods in Cell Biology. Vol 147. Academic Press; 2018:79-91. doi:10.1016/bs.mcb.2018.07.004","apa":"Renkawitz, J., Reversat, A., Leithner, A. F., Merrin, J., & Sixt, M. K. (2018). Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In Methods in Cell Biology (Vol. 147, pp. 79–91). Academic Press. https://doi.org/10.1016/bs.mcb.2018.07.004","ieee":"J. Renkawitz, A. Reversat, A. F. Leithner, J. Merrin, and M. K. Sixt, “Micro-engineered ‘pillar forests’ to study cell migration in complex but controlled 3D environments,” in Methods in Cell Biology, vol. 147, Academic Press, 2018, pp. 79–91.","ista":"Renkawitz J, Reversat A, Leithner AF, Merrin J, Sixt MK. 2018.Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In: Methods in Cell Biology. vol. 147, 79–91.","short":"J. Renkawitz, A. Reversat, A.F. Leithner, J. Merrin, M.K. Sixt, in:, Methods in Cell Biology, Academic Press, 2018, pp. 79–91.","mla":"Renkawitz, Jörg, et al. “Micro-Engineered ‘Pillar Forests’ to Study Cell Migration in Complex but Controlled 3D Environments.” Methods in Cell Biology, vol. 147, Academic Press, 2018, pp. 79–91, doi:10.1016/bs.mcb.2018.07.004.","chicago":"Renkawitz, Jörg, Anne Reversat, Alexander F Leithner, Jack Merrin, and Michael K Sixt. “Micro-Engineered ‘Pillar Forests’ to Study Cell Migration in Complex but Controlled 3D Environments.” In Methods in Cell Biology, 147:79–91. Academic Press, 2018. https://doi.org/10.1016/bs.mcb.2018.07.004."},"publication":"Methods in Cell Biology","date_published":"2018-07-27T00:00:00Z","type":"book_chapter","abstract":[{"lang":"eng","text":"Cells migrating in multicellular organisms steadily traverse complex three-dimensional (3D) environments. To decipher the underlying cell biology, current experimental setups either use simplified 2D, tissue-mimetic 3D (e.g., collagen matrices) or in vivo environments. While only in vivo experiments are truly physiological, they do not allow for precise manipulation of environmental parameters. 2D in vitro experiments do allow mechanical and chemical manipulations, but increasing evidence demonstrates substantial differences of migratory mechanisms in 2D and 3D. Here, we describe simple, robust, and versatile “pillar forests” to investigate cell migration in complex but fully controllable 3D environments. Pillar forests are polydimethylsiloxane-based setups, in which two closely adjacent surfaces are interconnected by arrays of micrometer-sized pillars. Changing the pillar shape, size, height and the inter-pillar distance precisely manipulates microenvironmental parameters (e.g., pore sizes, micro-geometry, micro-topology), while being easily combined with chemotactic cues, surface coatings, diverse cell types and advanced imaging techniques. Thus, pillar forests combine the advantages of 2D cell migration assays with the precise definition of 3D environmental parameters."}],"intvolume":" 147","status":"public","title":"Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments","_id":"153","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa_version":"None"},{"doi":"10.1016/j.devcel.2018.09.014","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.devcel.2018.09.014"}],"external_id":{"isi":["000446579900002"]},"isi":1,"quality_controlled":"1","month":"10","author":[{"full_name":"Nunes Pinheiro, Diana C","orcid":"0000-0003-4333-7503","id":"2E839F16-F248-11E8-B48F-1D18A9856A87","last_name":"Nunes Pinheiro","first_name":"Diana C"},{"full_name":"Bellaïche, Yohanns","last_name":"Bellaïche","first_name":"Yohanns"}],"date_updated":"2023-09-13T08:54:38Z","date_created":"2018-12-11T11:44:23Z","volume":47,"year":"2018","acknowledgement":"Research in the Bellaïche laboratory is supported by the European Research Council (ERC Advanced, TiMoprh, 340784), the Fondation ARC pour la Recherche sur le Cancer (SL220130607097), the Agence Nationale de la Recherche (ANR lLabex DEEP; 11-LBX-0044, ANR-10-IDEX-0001-02), the Centre National de la Recherche Scientifique, the Institut National de la Santé et de la Recherche Médicale, and Institut Curie and PSL Research University funding or grants.","publication_status":"published","department":[{"_id":"CaHe"}],"publisher":"Cell Press","publist_id":"8000","date_published":"2018-10-08T00:00:00Z","publication":"Developmental Cell","citation":{"ama":"Nunes Pinheiro DC, Bellaïche Y. Mechanical force-driven adherents junction remodeling and epithelial dynamics. Developmental Cell. 2018;47(1):3-19. doi:10.1016/j.devcel.2018.09.014","ista":"Nunes Pinheiro DC, Bellaïche Y. 2018. Mechanical force-driven adherents junction remodeling and epithelial dynamics. Developmental Cell. 47(1), 3–19.","ieee":"D. C. Nunes Pinheiro and Y. Bellaïche, “Mechanical force-driven adherents junction remodeling and epithelial dynamics,” Developmental Cell, vol. 47, no. 1. Cell Press, pp. 3–19, 2018.","apa":"Nunes Pinheiro, D. C., & Bellaïche, Y. (2018). Mechanical force-driven adherents junction remodeling and epithelial dynamics. Developmental Cell. Cell Press. https://doi.org/10.1016/j.devcel.2018.09.014","mla":"Nunes Pinheiro, Diana C., and Yohanns Bellaïche. “Mechanical Force-Driven Adherents Junction Remodeling and Epithelial Dynamics.” Developmental Cell, vol. 47, no. 1, Cell Press, 2018, pp. 3–19, doi:10.1016/j.devcel.2018.09.014.","short":"D.C. Nunes Pinheiro, Y. Bellaïche, Developmental Cell 47 (2018) 3–19.","chicago":"Nunes Pinheiro, Diana C, and Yohanns Bellaïche. “Mechanical Force-Driven Adherents Junction Remodeling and Epithelial Dynamics.” Developmental Cell. Cell Press, 2018. https://doi.org/10.1016/j.devcel.2018.09.014."},"article_type":"review","page":"3 - 19","day":"08","article_processing_charge":"No","scopus_import":"1","oa_version":"Published Version","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"54","status":"public","title":"Mechanical force-driven adherents junction remodeling and epithelial dynamics","intvolume":" 47","abstract":[{"lang":"eng","text":"During epithelial tissue development, repair, and homeostasis, adherens junctions (AJs) ensure intercellular adhesion and tissue integrity while allowing for cell and tissue dynamics. Mechanical forces play critical roles in AJs’ composition and dynamics. Recent findings highlight that beyond a well-established role in reinforcing cell-cell adhesion, AJ mechanosensitivity promotes junctional remodeling and polarization, thereby regulating critical processes such as cell intercalation, division, and collective migration. Here, we provide an integrated view of mechanosensing mechanisms that regulate cell-cell contact composition, geometry, and integrity under tension and highlight pivotal roles for mechanosensitive AJ remodeling in preserving epithelial integrity and sustaining tissue dynamics."}],"issue":"1","type":"journal_article"},{"department":[{"_id":"MiSi"}],"publisher":"Public Library of Science","publication_status":"published","year":"2018","acknowledgement":"This work was supported by the Swiss National Science Foundation (MD-PhD fellowships, 323530_164221 to C.F.; and 323630_151483 to A.J.; grant PZ00P3_144863 to M.R, grant 31003A_156431 to T.S.; PZ00P3_148000 to C.T.B.; PZ00P3_154733 to M.M.), a Novartis “FreeNovation” grant to M.M. and T.S. and an EMBO long-term fellowship (ALTF 1396-2014) co-funded by the European Commission (LTFCOFUND2013, GA-2013-609409) to J.R.. M.R. was supported by the Gebert Rüf Foundation (GRS 058/14). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","volume":13,"date_created":"2018-12-11T11:45:34Z","date_updated":"2023-09-13T09:00:15Z","author":[{"full_name":"Frick, Corina","first_name":"Corina","last_name":"Frick"},{"full_name":"Dettinger, Philip","last_name":"Dettinger","first_name":"Philip"},{"first_name":"Jörg","last_name":"Renkawitz","id":"3F0587C8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2856-3369","full_name":"Renkawitz, Jörg"},{"last_name":"Jauch","first_name":"Annaïse","full_name":"Jauch, Annaïse"},{"full_name":"Berger, Christoph","last_name":"Berger","first_name":"Christoph"},{"full_name":"Recher, Mike","last_name":"Recher","first_name":"Mike"},{"first_name":"Timm","last_name":"Schroeder","full_name":"Schroeder, Timm"},{"full_name":"Mehling, Matthias","first_name":"Matthias","last_name":"Mehling"}],"article_number":"e0198330","publist_id":"7626","file_date_updated":"2020-07-14T12:45:45Z","quality_controlled":"1","isi":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"external_id":{"isi":["000434384900031"]},"language":[{"iso":"eng"}],"doi":"10.1371/journal.pone.0198330","month":"06","intvolume":" 13","ddc":["570"],"title":"Nano-scale microfluidics to study 3D chemotaxis at the single cell level","status":"public","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"276","oa_version":"Published Version","file":[{"access_level":"open_access","file_name":"2018_Plos_Frick.pdf","creator":"dernst","file_size":7682167,"content_type":"application/pdf","file_id":"5709","relation":"main_file","checksum":"95fc5dc3938b3ad3b7697d10c83cc143","date_updated":"2020-07-14T12:45:45Z","date_created":"2018-12-17T14:10:32Z"}],"type":"journal_article","issue":"6","abstract":[{"lang":"eng","text":"Directed migration of cells relies on their ability to sense directional guidance cues and to interact with pericellular structures in order to transduce contractile cytoskeletal- into mechanical forces. These biomechanical processes depend highly on microenvironmental factors such as exposure to 2D surfaces or 3D matrices. In vivo, the majority of cells are exposed to 3D environments. Data on 3D cell migration are mostly derived from intravital microscopy or collagen-based in vitro assays. Both approaches offer only limited controlla-bility of experimental conditions. Here, we developed an automated microfluidic system that allows positioning of cells in 3D microenvironments containing highly controlled diffusion-based chemokine gradients. Tracking migration in such gradients was feasible in real time at the single cell level. Moreover, the setup allowed on-chip immunocytochemistry and thus linking of functional with phenotypical properties in individual cells. Spatially defined retrieval of cells from the device allows down-stream off-chip analysis. Using dendritic cells as a model, our setup specifically allowed us for the first time to quantitate key migration characteristics of cells exposed to identical gradients of the chemokine CCL19 yet placed on 2D vs in 3D environments. Migration properties between 2D and 3D migration were distinct. Morphological features of cells migrating in an in vitro 3D environment were similar to those of cells migrating in animal tissues, but different from cells migrating on a surface. Our system thus offers a highly controllable in vitro-mimic of a 3D environment that cells traffic in vivo."}],"article_type":"original","citation":{"ieee":"C. Frick et al., “Nano-scale microfluidics to study 3D chemotaxis at the single cell level,” PLoS One, vol. 13, no. 6. Public Library of Science, 2018.","apa":"Frick, C., Dettinger, P., Renkawitz, J., Jauch, A., Berger, C., Recher, M., … Mehling, M. (2018). Nano-scale microfluidics to study 3D chemotaxis at the single cell level. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0198330","ista":"Frick C, Dettinger P, Renkawitz J, Jauch A, Berger C, Recher M, Schroeder T, Mehling M. 2018. Nano-scale microfluidics to study 3D chemotaxis at the single cell level. PLoS One. 13(6), e0198330.","ama":"Frick C, Dettinger P, Renkawitz J, et al. Nano-scale microfluidics to study 3D chemotaxis at the single cell level. PLoS One. 2018;13(6). doi:10.1371/journal.pone.0198330","chicago":"Frick, Corina, Philip Dettinger, Jörg Renkawitz, Annaïse Jauch, Christoph Berger, Mike Recher, Timm Schroeder, and Matthias Mehling. “Nano-Scale Microfluidics to Study 3D Chemotaxis at the Single Cell Level.” PLoS One. Public Library of Science, 2018. https://doi.org/10.1371/journal.pone.0198330.","short":"C. Frick, P. Dettinger, J. Renkawitz, A. Jauch, C. Berger, M. Recher, T. Schroeder, M. Mehling, PLoS One 13 (2018).","mla":"Frick, Corina, et al. “Nano-Scale Microfluidics to Study 3D Chemotaxis at the Single Cell Level.” PLoS One, vol. 13, no. 6, e0198330, Public Library of Science, 2018, doi:10.1371/journal.pone.0198330."},"publication":"PLoS One","date_published":"2018-06-07T00:00:00Z","scopus_import":"1","has_accepted_license":"1","article_processing_charge":"No","day":"07"},{"date_published":"2018-06-08T00:00:00Z","citation":{"mla":"Ceinos, Rosa Maria, et al. “Mutations in Blind Cavefish Target the Light Regulated Circadian Clock Gene Period 2.” Scientific Reports, vol. 8, no. 1, 8754, Nature Publishing Group, 2018, doi:10.1038/s41598-018-27080-2.","short":"R.M. Ceinos, E. Frigato, C. Pagano, N. Frohlich, P. Negrini, N. Cavallari, D. Vallone, S. Fuselli, C. Bertolucci, N.S. Foulkes, Scientific Reports 8 (2018).","chicago":"Ceinos, Rosa Maria, Elena Frigato, Cristina Pagano, Nadine Frohlich, Pietro Negrini, Nicola Cavallari, Daniela Vallone, Silvia Fuselli, Cristiano Bertolucci, and Nicholas S Foulkes. “Mutations in Blind Cavefish Target the Light Regulated Circadian Clock Gene Period 2.” Scientific Reports. Nature Publishing Group, 2018. https://doi.org/10.1038/s41598-018-27080-2.","ama":"Ceinos RM, Frigato E, Pagano C, et al. Mutations in blind cavefish target the light regulated circadian clock gene period 2. Scientific Reports. 2018;8(1). doi:10.1038/s41598-018-27080-2","ista":"Ceinos RM, Frigato E, Pagano C, Frohlich N, Negrini P, Cavallari N, Vallone D, Fuselli S, Bertolucci C, Foulkes NS. 2018. Mutations in blind cavefish target the light regulated circadian clock gene period 2. Scientific Reports. 8(1), 8754.","apa":"Ceinos, R. M., Frigato, E., Pagano, C., Frohlich, N., Negrini, P., Cavallari, N., … Foulkes, N. S. (2018). Mutations in blind cavefish target the light regulated circadian clock gene period 2. Scientific Reports. Nature Publishing Group. https://doi.org/10.1038/s41598-018-27080-2","ieee":"R. M. Ceinos et al., “Mutations in blind cavefish target the light regulated circadian clock gene period 2,” Scientific Reports, vol. 8, no. 1. Nature Publishing Group, 2018."},"publication":"Scientific Reports","has_accepted_license":"1","article_processing_charge":"No","day":"08","scopus_import":"1","oa_version":"Published Version","file":[{"creator":"dernst","content_type":"application/pdf","file_size":1855324,"file_name":"2018_ScientificReports_Ceinos.pdf","access_level":"open_access","date_created":"2018-12-17T13:04:46Z","date_updated":"2020-07-14T12:45:49Z","checksum":"9c3942d772f84f3df032ffde0ed9a8ea","file_id":"5707","relation":"main_file"}],"intvolume":" 8","ddc":["570"],"status":"public","title":"Mutations in blind cavefish target the light regulated circadian clock gene period 2","_id":"283","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","issue":"1","abstract":[{"lang":"eng","text":"Light represents the principal signal driving circadian clock entrainment. However, how light influences the evolution of the clock remains poorly understood. The cavefish Phreatichthys andruzzii represents a fascinating model to explore how evolution under extreme aphotic conditions shapes the circadian clock, since in this species the clock is unresponsive to light. We have previously demonstrated that loss-of-function mutations targeting non-visual opsins contribute in part to this blind clock phenotype. Here, we have compared orthologs of two core clock genes that play a key role in photic entrainment, cry1a and per2, in both zebrafish and P. andruzzii. We encountered aberrantly spliced variants for the P. andruzzii per2 transcript. The most abundant transcript encodes a truncated protein lacking the C-terminal Cry binding domain and incorporating an intronic, transposon-derived coding sequence. We demonstrate that the transposon insertion leads to a predominantly cytoplasmic localization of the cavefish Per2 protein in contrast to the zebrafish ortholog which is distributed in both the nucleus and cytoplasm. Thus, it seems that during evolution in complete darkness, the photic entrainment pathway of the circadian clock has been subject to mutation at multiple levels, extending from opsin photoreceptors to nuclear effectors."}],"type":"journal_article","language":[{"iso":"eng"}],"doi":"10.1038/s41598-018-27080-2","quality_controlled":"1","isi":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"external_id":{"isi":["000434640800008"]},"month":"06","volume":8,"date_created":"2018-12-11T11:45:36Z","date_updated":"2023-09-13T08:59:27Z","author":[{"full_name":"Ceinos, Rosa Maria","last_name":"Ceinos","first_name":"Rosa Maria"},{"full_name":"Frigato, Elena","last_name":"Frigato","first_name":"Elena"},{"last_name":"Pagano","first_name":"Cristina","full_name":"Pagano, Cristina"},{"full_name":"Frohlich, Nadine","last_name":"Frohlich","first_name":"Nadine"},{"first_name":"Pietro","last_name":"Negrini","full_name":"Negrini, Pietro"},{"full_name":"Cavallari, Nicola","last_name":"Cavallari","first_name":"Nicola","id":"457160E6-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Vallone, Daniela","last_name":"Vallone","first_name":"Daniela"},{"last_name":"Fuselli","first_name":"Silvia","full_name":"Fuselli, Silvia"},{"full_name":"Bertolucci, Cristiano","last_name":"Bertolucci","first_name":"Cristiano"},{"last_name":"Foulkes","first_name":"Nicholas S","full_name":"Foulkes, Nicholas S"}],"publisher":"Nature Publishing Group","department":[{"_id":"EvBe"}],"publication_status":"published","year":"2018","publist_id":"7616","file_date_updated":"2020-07-14T12:45:49Z","article_number":"8754"},{"date_updated":"2023-09-13T08:58:34Z","date_created":"2018-12-11T11:44:31Z","volume":11022,"author":[{"id":"4A2E9DBA-F248-11E8-B48F-1D18A9856A87","last_name":"Elgyütt","first_name":"Adrian","full_name":"Elgyütt, Adrian"},{"full_name":"Ferrere, Thomas","id":"40960E6E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5199-3143","first_name":"Thomas","last_name":"Ferrere"},{"first_name":"Thomas A","last_name":"Henzinger","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","orcid":"0000−0002−2985−7724","full_name":"Henzinger, Thomas A"}],"publication_status":"published","department":[{"_id":"ToHe"}],"publisher":"Springer","year":"2018","file_date_updated":"2020-10-09T06:24:21Z","publist_id":"7973","language":[{"iso":"eng"}],"conference":{"name":"FORMATS: Formal Modeling and Analysis of Timed Systems","end_date":"2018-09-06","start_date":"2018-09-04","location":"Beijing, China"},"doi":"10.1007/978-3-030-00151-3_4","isi":1,"quality_controlled":"1","project":[{"call_identifier":"FWF","name":"Moderne Concurrency Paradigms","_id":"25F5A88A-B435-11E9-9278-68D0E5697425","grant_number":"S11402-N23"},{"call_identifier":"FWF","name":"The Wittgenstein Prize","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425"}],"oa":1,"external_id":{"isi":["000884993200004"]},"month":"08","oa_version":"Submitted Version","file":[{"access_level":"open_access","file_name":"2018_LNCS_Elgyuett.pdf","content_type":"application/pdf","file_size":537219,"creator":"dernst","relation":"main_file","file_id":"8638","checksum":"e5d81c9b50a6bd9d8a2c16953aad7e23","success":1,"date_created":"2020-10-09T06:24:21Z","date_updated":"2020-10-09T06:24:21Z"}],"ddc":["000"],"title":"Monitoring temporal logic with clock variables","status":"public","intvolume":" 11022","_id":"81","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","abstract":[{"lang":"eng","text":"We solve the offline monitoring problem for timed propositional temporal logic (TPTL), interpreted over dense-time Boolean signals. The variant of TPTL we consider extends linear temporal logic (LTL) with clock variables and reset quantifiers, providing a mechanism to specify real-time constraints. We first describe a general monitoring algorithm based on an exhaustive computation of the set of satisfying clock assignments as a finite union of zones. We then propose a specialized monitoring algorithm for the one-variable case using a partition of the time domain based on the notion of region equivalence, whose complexity is linear in the length of the signal, thereby generalizing a known result regarding the monitoring of metric temporal logic (MTL). The region and zone representations of time constraints are known from timed automata verification and can also be used in the discrete-time case. Our prototype implementation appears to outperform previous discrete-time implementations of TPTL monitoring,"}],"alternative_title":["LNCS"],"type":"conference","date_published":"2018-08-26T00:00:00Z","page":"53 - 70","citation":{"chicago":"Elgyütt, Adrian, Thomas Ferrere, and Thomas A Henzinger. “Monitoring Temporal Logic with Clock Variables,” 11022:53–70. Springer, 2018. https://doi.org/10.1007/978-3-030-00151-3_4.","short":"A. Elgyütt, T. Ferrere, T.A. Henzinger, in:, Springer, 2018, pp. 53–70.","mla":"Elgyütt, Adrian, et al. Monitoring Temporal Logic with Clock Variables. Vol. 11022, Springer, 2018, pp. 53–70, doi:10.1007/978-3-030-00151-3_4.","ieee":"A. Elgyütt, T. Ferrere, and T. A. Henzinger, “Monitoring temporal logic with clock variables,” presented at the FORMATS: Formal Modeling and Analysis of Timed Systems, Beijing, China, 2018, vol. 11022, pp. 53–70.","apa":"Elgyütt, A., Ferrere, T., & Henzinger, T. A. (2018). Monitoring temporal logic with clock variables (Vol. 11022, pp. 53–70). Presented at the FORMATS: Formal Modeling and Analysis of Timed Systems, Beijing, China: Springer. https://doi.org/10.1007/978-3-030-00151-3_4","ista":"Elgyütt A, Ferrere T, Henzinger TA. 2018. Monitoring temporal logic with clock variables. FORMATS: Formal Modeling and Analysis of Timed Systems, LNCS, vol. 11022, 53–70.","ama":"Elgyütt A, Ferrere T, Henzinger TA. Monitoring temporal logic with clock variables. In: Vol 11022. Springer; 2018:53-70. doi:10.1007/978-3-030-00151-3_4"},"day":"26","has_accepted_license":"1","article_processing_charge":"No","scopus_import":"1"},{"month":"09","language":[{"iso":"eng"}],"doi":"10.1007/s00446-018-0342-6","project":[{"_id":"B67AFEDC-15C9-11EA-A837-991A96BB2854","name":"IST Austria Open Access Fund"}],"quality_controlled":"1","isi":1,"external_id":{"isi":["000475627800005"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"publist_id":"7978","file_date_updated":"2020-07-14T12:48:01Z","date_updated":"2023-09-13T09:01:06Z","date_created":"2018-12-11T11:44:30Z","author":[{"full_name":"Lenzen, Christoph","first_name":"Christoph","last_name":"Lenzen"},{"full_name":"Rybicki, Joel","id":"334EFD2E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6432-6646","first_name":"Joel","last_name":"Rybicki"}],"department":[{"_id":"DaAl"}],"publisher":"Springer","publication_status":"published","year":"2018","article_processing_charge":"Yes (via OA deal)","has_accepted_license":"1","day":"12","scopus_import":"1","date_published":"2018-09-12T00:00:00Z","citation":{"ama":"Lenzen C, Rybicki J. Near-optimal self-stabilising counting and firing squads. Distributed Computing. 2018. doi:10.1007/s00446-018-0342-6","ista":"Lenzen C, Rybicki J. 2018. Near-optimal self-stabilising counting and firing squads. Distributed Computing.","ieee":"C. Lenzen and J. Rybicki, “Near-optimal self-stabilising counting and firing squads,” Distributed Computing. Springer, 2018.","apa":"Lenzen, C., & Rybicki, J. (2018). Near-optimal self-stabilising counting and firing squads. Distributed Computing. Springer. https://doi.org/10.1007/s00446-018-0342-6","mla":"Lenzen, Christoph, and Joel Rybicki. “Near-Optimal Self-Stabilising Counting and Firing Squads.” Distributed Computing, Springer, 2018, doi:10.1007/s00446-018-0342-6.","short":"C. Lenzen, J. Rybicki, Distributed Computing (2018).","chicago":"Lenzen, Christoph, and Joel Rybicki. “Near-Optimal Self-Stabilising Counting and Firing Squads.” Distributed Computing. Springer, 2018. https://doi.org/10.1007/s00446-018-0342-6."},"publication":"Distributed Computing","abstract":[{"lang":"eng","text":"Consider a fully-connected synchronous distributed system consisting of n nodes, where up to f nodes may be faulty and every node starts in an arbitrary initial state. In the synchronous C-counting problem, all nodes need to eventually agree on a counter that is increased by one modulo C in each round for given C>1. In the self-stabilising firing squad problem, the task is to eventually guarantee that all non-faulty nodes have simultaneous responses to external inputs: if a subset of the correct nodes receive an external “go” signal as input, then all correct nodes should agree on a round (in the not-too-distant future) in which to jointly output a “fire” signal. Moreover, no node should generate a “fire” signal without some correct node having previously received a “go” signal as input. We present a framework reducing both tasks to binary consensus at very small cost. For example, we obtain a deterministic algorithm for self-stabilising Byzantine firing squads with optimal resilience f<n/3, asymptotically optimal stabilisation and response time O(f), and message size O(log f). As our framework does not restrict the type of consensus routines used, we also obtain efficient randomised solutions."}],"type":"journal_article","file":[{"content_type":"application/pdf","file_size":799337,"creator":"dernst","file_name":"2018_DistributedComputing_Lenzen.pdf","access_level":"open_access","date_created":"2018-12-17T14:21:22Z","date_updated":"2020-07-14T12:48:01Z","checksum":"872db70bba9b401500abe3c6ae2f1a61","relation":"main_file","file_id":"5711"}],"oa_version":"Published Version","title":"Near-optimal self-stabilising counting and firing squads","status":"public","ddc":["000"],"_id":"76","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1"}]