[{"date_published":"2018-02-13T00:00:00Z","page":"1074 - 1077","citation":{"chicago":"Leithner, Alexander F, Jörg Renkawitz, Ingrid de Vries, Robert Hauschild, Hans Haecker, and Michael K Sixt. “Fast and Efficient Genetic Engineering of Hematopoietic Precursor Cells for the Study of Dendritic Cell Migration.” European Journal of Immunology. Wiley-Blackwell, 2018. https://doi.org/10.1002/eji.201747358.","mla":"Leithner, Alexander F., et al. “Fast and Efficient Genetic Engineering of Hematopoietic Precursor Cells for the Study of Dendritic Cell Migration.” European Journal of Immunology, vol. 48, no. 6, Wiley-Blackwell, 2018, pp. 1074–77, doi:10.1002/eji.201747358.","short":"A.F. Leithner, J. Renkawitz, I. de Vries, R. Hauschild, H. Haecker, M.K. Sixt, European Journal of Immunology 48 (2018) 1074–1077.","ista":"Leithner AF, Renkawitz J, de Vries I, Hauschild R, Haecker H, Sixt MK. 2018. Fast and efficient genetic engineering of hematopoietic precursor cells for the study of dendritic cell migration. European Journal of Immunology. 48(6), 1074–1077.","ieee":"A. F. Leithner, J. Renkawitz, I. de Vries, R. Hauschild, H. Haecker, and M. K. Sixt, “Fast and efficient genetic engineering of hematopoietic precursor cells for the study of dendritic cell migration,” European Journal of Immunology, vol. 48, no. 6. Wiley-Blackwell, pp. 1074–1077, 2018.","apa":"Leithner, A. F., Renkawitz, J., de Vries, I., Hauschild, R., Haecker, H., & Sixt, M. K. (2018). Fast and efficient genetic engineering of hematopoietic precursor cells for the study of dendritic cell migration. European Journal of Immunology. Wiley-Blackwell. https://doi.org/10.1002/eji.201747358","ama":"Leithner AF, Renkawitz J, de Vries I, Hauschild R, Haecker H, Sixt MK. Fast and efficient genetic engineering of hematopoietic precursor cells for the study of dendritic cell migration. European Journal of Immunology. 2018;48(6):1074-1077. doi:10.1002/eji.201747358"},"publication":"European Journal of Immunology","has_accepted_license":"1","article_processing_charge":"Yes (via OA deal)","day":"13","scopus_import":"1","file":[{"creator":"system","content_type":"application/pdf","file_size":590106,"file_name":"IST-2018-1067-v1+2_Leithner_et_al-2018-European_Journal_of_Immunology.pdf","access_level":"open_access","date_created":"2018-12-12T10:13:56Z","date_updated":"2020-07-14T12:46:27Z","checksum":"9d5b74cd016505aeb9a4c2d33bbedaeb","file_id":"5044","relation":"main_file"}],"oa_version":"Published Version","pubrep_id":"1067","intvolume":" 48","ddc":["570"],"title":"Fast and efficient genetic engineering of hematopoietic precursor cells for the study of dendritic cell migration","status":"public","_id":"437","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","issue":"6","abstract":[{"text":"Dendritic cells (DCs) are sentinels of the adaptive immune system that reside in peripheral organs of mammals. Upon pathogen encounter, they undergo maturation and up-regulate the chemokine receptor CCR7 that guides them along gradients of its chemokine ligands CCL19 and 21 to the next draining lymph node. There, DCs present peripherally acquired antigen to naïve T cells, thereby triggering adaptive immunity.","lang":"eng"}],"type":"journal_article","language":[{"iso":"eng"}],"acknowledged_ssus":[{"_id":"SSU"}],"doi":"10.1002/eji.201747358","project":[{"name":"Cellular navigation along spatial gradients","call_identifier":"H2020","_id":"25FE9508-B435-11E9-9278-68D0E5697425","grant_number":"724373"}],"quality_controlled":"1","isi":1,"tmp":{"name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)"},"oa":1,"external_id":{"isi":["000434963700016"]},"month":"02","volume":48,"date_updated":"2023-09-11T14:01:18Z","date_created":"2018-12-11T11:46:28Z","author":[{"full_name":"Leithner, Alexander F","first_name":"Alexander F","last_name":"Leithner","id":"3B1B77E4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1073-744X"},{"full_name":"Renkawitz, Jörg","first_name":"Jörg","last_name":"Renkawitz","id":"3F0587C8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2856-3369"},{"last_name":"De Vries","first_name":"Ingrid","id":"4C7D837E-F248-11E8-B48F-1D18A9856A87","full_name":"De Vries, Ingrid"},{"first_name":"Robert","last_name":"Hauschild","id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9843-3522","full_name":"Hauschild, Robert"},{"full_name":"Haecker, Hans","last_name":"Haecker","first_name":"Hans"},{"full_name":"Sixt, Michael K","first_name":"Michael K","last_name":"Sixt","id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6620-9179"}],"publisher":"Wiley-Blackwell","department":[{"_id":"MiSi"},{"_id":"Bio"}],"publication_status":"published","acknowledgement":"This work was supported by grants of the European Research Council (ERC CoG 724373) and the Austrian Science Fund (FWF) to M.S. We thank the scientific support units at IST Austria for excellent technical support.\r\nWe thank the scientific support units at IST Austria for excellent technical support. ","year":"2018","license":"https://creativecommons.org/licenses/by-nc/4.0/","ec_funded":1,"publist_id":"7386","file_date_updated":"2020-07-14T12:46:27Z"},{"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"617","title":"Genotype and diet affect resistance, survival, and fecundity but not fecundity tolerance","status":"public","intvolume":" 31","oa_version":"Published Version","type":"journal_article","abstract":[{"text":"Insects are exposed to a variety of potential pathogens in their environment, many of which can severely impact fitness and health. Consequently, hosts have evolved resistance and tolerance strategies to suppress or cope with infections. Hosts utilizing resistance improve fitness by clearing or reducing pathogen loads, and hosts utilizing tolerance reduce harmful fitness effects per pathogen load. To understand variation in, and selective pressures on, resistance and tolerance, we asked to what degree they are shaped by host genetic background, whether plasticity in these responses depends upon dietary environment, and whether there are interactions between these two factors. Females from ten wild-type Drosophila melanogaster genotypes were kept on high- or low-protein (yeast) diets and infected with one of two opportunistic bacterial pathogens, Lactococcus lactis or Pseudomonas entomophila. We measured host resistance as the inverse of bacterial load in the early infection phase. The relationship (slope) between fly fecundity and individual-level bacteria load provided our fecundity tolerance measure. Genotype and dietary yeast determined host fecundity and strongly affected survival after infection with pathogenic P. entomophila. There was considerable genetic variation in host resistance, a commonly found phenomenon resulting from for example varying resistance costs or frequency-dependent selection. Despite this variation and the reproductive cost of higher P. entomophila loads, fecundity tolerance did not vary across genotypes. The absence of genetic variation in tolerance may suggest that at this early infection stage, fecundity tolerance is fixed or that any evolved tolerance mechanisms are not expressed under these infection conditions.","lang":"eng"}],"issue":"1","publication":"Journal of Evolutionary Biology","citation":{"ieee":"M. Kutzer, J. Kurtz, and S. Armitage, “Genotype and diet affect resistance, survival, and fecundity but not fecundity tolerance,” Journal of Evolutionary Biology, vol. 31, no. 1. Wiley, pp. 159–171, 2018.","apa":"Kutzer, M., Kurtz, J., & Armitage, S. (2018). Genotype and diet affect resistance, survival, and fecundity but not fecundity tolerance. Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.13211","ista":"Kutzer M, Kurtz J, Armitage S. 2018. Genotype and diet affect resistance, survival, and fecundity but not fecundity tolerance. Journal of Evolutionary Biology. 31(1), 159–171.","ama":"Kutzer M, Kurtz J, Armitage S. Genotype and diet affect resistance, survival, and fecundity but not fecundity tolerance. Journal of Evolutionary Biology. 2018;31(1):159-171. doi:10.1111/jeb.13211","chicago":"Kutzer, Megan, Joachim Kurtz, and Sophie Armitage. “Genotype and Diet Affect Resistance, Survival, and Fecundity but Not Fecundity Tolerance.” Journal of Evolutionary Biology. Wiley, 2018. https://doi.org/10.1111/jeb.13211.","short":"M. Kutzer, J. Kurtz, S. Armitage, Journal of Evolutionary Biology 31 (2018) 159–171.","mla":"Kutzer, Megan, et al. “Genotype and Diet Affect Resistance, Survival, and Fecundity but Not Fecundity Tolerance.” Journal of Evolutionary Biology, vol. 31, no. 1, Wiley, 2018, pp. 159–71, doi:10.1111/jeb.13211."},"article_type":"original","page":"159 - 171","date_published":"2018-01-01T00:00:00Z","scopus_import":"1","day":"01","article_processing_charge":"No","acknowledgement":"We would like to thank Susann Wicke for performing the genome-wide SNP/indel analyses, as well as Veronica Alves, Kevin Ferro, Momir Futo, Barbara Hasert, Dafne Maximo, Nora Schulz, Marlene Sroka, and Barth Wieczorek for technical help. We thank Brian Lazzaro for the L. lactis strain and Bruno Lemaitre for the Pseudomonas entomophila strain. We would like to thank two anonymous reviewers for their helpful comments. We are grateful to the Deutsche Forschungsgemeinschaft (DFG) priority programme 1399 ‘Host parasite coevolution’ for funding this project (AR 872/1-1). ","year":"2018","pmid":1,"publication_status":"published","publisher":"Wiley","department":[{"_id":"SyCr"}],"author":[{"first_name":"Megan","last_name":"Kutzer","id":"29D0B332-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8696-6978","full_name":"Kutzer, Megan"},{"last_name":"Kurtz","first_name":"Joachim","full_name":"Kurtz, Joachim"},{"first_name":"Sophie","last_name":"Armitage","full_name":"Armitage, Sophie"}],"date_updated":"2023-09-11T14:06:04Z","date_created":"2018-12-11T11:47:31Z","volume":31,"publist_id":"7187","external_id":{"pmid":["29150962"],"isi":["000419307000014"]},"oa":1,"main_file_link":[{"url":"https://doi.org/10.1111/jeb.13211","open_access":"1"}],"quality_controlled":"1","isi":1,"doi":"10.1111/jeb.13211","language":[{"iso":"eng"}],"month":"01","publication_identifier":{"eissn":["1420-9101"],"issn":["1010-061X"]}},{"article_number":"100","file_date_updated":"2020-07-14T12:47:13Z","license":"https://creativecommons.org/licenses/by/4.0/","pmid":1,"year":"2018","department":[{"_id":"GaNo"}],"publisher":"Springer Nature","publication_status":"published","author":[{"first_name":"Dora-Clara","last_name":"Tarlungeanu","id":"2ABCE612-F248-11E8-B48F-1D18A9856A87","full_name":"Tarlungeanu, Dora-Clara"},{"last_name":"Novarino","first_name":"Gaia","orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","full_name":"Novarino, Gaia"}],"volume":50,"date_created":"2019-01-27T22:59:11Z","date_updated":"2023-09-11T14:04:41Z","publication_identifier":{"issn":["2092-6413"]},"month":"08","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"},"external_id":{"pmid":["30089840"],"isi":["000441266700006"]},"oa":1,"quality_controlled":"1","isi":1,"doi":"10.1038/s12276-018-0129-7","language":[{"iso":"eng"}],"type":"journal_article","issue":"8","abstract":[{"lang":"eng","text":"Despite the remarkable number of scientific breakthroughs of the last 100 years, the treatment of neurodevelopmental\r\ndisorders (e.g., autism spectrum disorder, intellectual disability) remains a great challenge. Recent advancements in\r\ngenomics, such as whole-exome or whole-genome sequencing, have enabled scientists to identify numerous\r\nmutations underlying neurodevelopmental disorders. Given the few hundred risk genes that have been discovered,\r\nthe etiological variability and the heterogeneous clinical presentation, the need for genotype — along with phenotype-\r\nbased diagnosis of individual patients has become a requisite. In this review we look at recent advancements in\r\ngenomic analysis and their translation into clinical practice."}],"_id":"5888","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","intvolume":" 50","title":"Genomics in neurodevelopmental disorders: an avenue to personalized medicine","status":"public","ddc":["570"],"file":[{"access_level":"open_access","file_name":"2018_EMM_Tarlungeanu.pdf","content_type":"application/pdf","file_size":1237482,"creator":"dernst","relation":"main_file","file_id":"5893","checksum":"4498301c8c53097c9a1a8ef990936eb5","date_created":"2019-01-28T15:18:02Z","date_updated":"2020-07-14T12:47:13Z"}],"oa_version":"Published Version","scopus_import":"1","has_accepted_license":"1","article_processing_charge":"No","day":"07","citation":{"ama":"Tarlungeanu D-C, Novarino G. Genomics in neurodevelopmental disorders: an avenue to personalized medicine. Experimental & Molecular Medicine. 2018;50(8). doi:10.1038/s12276-018-0129-7","apa":"Tarlungeanu, D.-C., & Novarino, G. (2018). Genomics in neurodevelopmental disorders: an avenue to personalized medicine. Experimental & Molecular Medicine. Springer Nature. https://doi.org/10.1038/s12276-018-0129-7","ieee":"D.-C. Tarlungeanu and G. Novarino, “Genomics in neurodevelopmental disorders: an avenue to personalized medicine,” Experimental & Molecular Medicine, vol. 50, no. 8. Springer Nature, 2018.","ista":"Tarlungeanu D-C, Novarino G. 2018. Genomics in neurodevelopmental disorders: an avenue to personalized medicine. Experimental & Molecular Medicine. 50(8), 100.","short":"D.-C. Tarlungeanu, G. Novarino, Experimental & Molecular Medicine 50 (2018).","mla":"Tarlungeanu, Dora-Clara, and Gaia Novarino. “Genomics in Neurodevelopmental Disorders: An Avenue to Personalized Medicine.” Experimental & Molecular Medicine, vol. 50, no. 8, 100, Springer Nature, 2018, doi:10.1038/s12276-018-0129-7.","chicago":"Tarlungeanu, Dora-Clara, and Gaia Novarino. “Genomics in Neurodevelopmental Disorders: An Avenue to Personalized Medicine.” Experimental & Molecular Medicine. Springer Nature, 2018. https://doi.org/10.1038/s12276-018-0129-7."},"publication":"Experimental & Molecular Medicine","date_published":"2018-08-07T00:00:00Z"},{"type":"journal_article","issue":"11","abstract":[{"lang":"eng","text":"We prove upper and lower bounds on the ground-state energy of the ideal two-dimensional anyon gas. Our bounds are extensive in the particle number, as for fermions, and linear in the statistics parameter (Formula presented.). The lower bounds extend to Lieb–Thirring inequalities for all anyons except bosons."}],"_id":"295","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","intvolume":" 108","title":"Fermionic behavior of ideal anyons","ddc":["510"],"status":"public","oa_version":"Published Version","file":[{"file_id":"5698","relation":"main_file","date_updated":"2020-07-14T12:45:55Z","date_created":"2018-12-17T12:14:17Z","checksum":"8beb9632fa41bbd19452f55f31286a31","file_name":"2018_LettMathPhys_Lundholm.pdf","access_level":"open_access","creator":"dernst","file_size":551996,"content_type":"application/pdf"}],"scopus_import":"1","article_processing_charge":"No","has_accepted_license":"1","day":"11","citation":{"ama":"Lundholm D, Seiringer R. Fermionic behavior of ideal anyons. Letters in Mathematical Physics. 2018;108(11):2523-2541. doi:10.1007/s11005-018-1091-y","ista":"Lundholm D, Seiringer R. 2018. Fermionic behavior of ideal anyons. Letters in Mathematical Physics. 108(11), 2523–2541.","apa":"Lundholm, D., & Seiringer, R. (2018). Fermionic behavior of ideal anyons. Letters in Mathematical Physics. Springer. https://doi.org/10.1007/s11005-018-1091-y","ieee":"D. Lundholm and R. Seiringer, “Fermionic behavior of ideal anyons,” Letters in Mathematical Physics, vol. 108, no. 11. Springer, pp. 2523–2541, 2018.","mla":"Lundholm, Douglas, and Robert Seiringer. “Fermionic Behavior of Ideal Anyons.” Letters in Mathematical Physics, vol. 108, no. 11, Springer, 2018, pp. 2523–41, doi:10.1007/s11005-018-1091-y.","short":"D. Lundholm, R. Seiringer, Letters in Mathematical Physics 108 (2018) 2523–2541.","chicago":"Lundholm, Douglas, and Robert Seiringer. “Fermionic Behavior of Ideal Anyons.” Letters in Mathematical Physics. Springer, 2018. https://doi.org/10.1007/s11005-018-1091-y."},"publication":"Letters in Mathematical Physics","page":"2523-2541","date_published":"2018-05-11T00:00:00Z","publist_id":"7586","ec_funded":1,"file_date_updated":"2020-07-14T12:45:55Z","year":"2018","acknowledgement":"Financial support from the Swedish Research Council, grant no. 2013-4734 (D. L.), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694227, R. S.), and by the Austrian Science Fund (FWF), project Nr. P 27533-N27 (R. S.), is gratefully acknowledged.","publisher":"Springer","department":[{"_id":"RoSe"}],"publication_status":"published","author":[{"first_name":"Douglas","last_name":"Lundholm","full_name":"Lundholm, Douglas"},{"orcid":"0000-0002-6781-0521","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","last_name":"Seiringer","first_name":"Robert","full_name":"Seiringer, Robert"}],"volume":108,"date_updated":"2023-09-11T14:01:57Z","date_created":"2018-12-11T11:45:40Z","month":"05","external_id":{"isi":["000446491500008"],"arxiv":["1712.06218"]},"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,"project":[{"call_identifier":"H2020","name":"Analysis of quantum many-body systems","_id":"25C6DC12-B435-11E9-9278-68D0E5697425","grant_number":"694227"},{"grant_number":"P27533_N27","_id":"25C878CE-B435-11E9-9278-68D0E5697425","name":"Structure of the Excitation Spectrum for Many-Body Quantum Systems","call_identifier":"FWF"}],"quality_controlled":"1","isi":1,"doi":"10.1007/s11005-018-1091-y","language":[{"iso":"eng"}]},{"external_id":{"isi":["000443661300011"]},"main_file_link":[{"url":"http://eprints.whiterose.ac.uk/125524/","open_access":"1"}],"oa":1,"quality_controlled":"1","isi":1,"doi":"10.1016/j.sbi.2017.12.002","language":[{"iso":"eng"}],"month":"06","acknowledgement":"This work was supported by the European Research Council [Starting Grant 306435 ‘JELLY’; to RPR], the Spanish Ministry of Competitiveness and Innovation [MAT2014-54867-R, to RPR], the EPSRC Centre for Doctoral Training in Tissue Engineering and Regenerative Medicine — Innovation in Medical and Biological Engineering [EP/L014823/1, to JCFK], the Royal Society [RG160410, to JCFK], Wings for Life [WFL-UK-008/15, to JCFK] and the European Union, the Operational Programme Research, Development and Education in the framework of the project ‘Centre of Reconstructive Neuroscience’ [CZ.02.1.01/0.0./0.0/15_003/0000419, to JCFK]. AJD would like to thank Arthritis Research UK [16539, 19489] and the MRC [76445, G0900538] for funding his work on GAG–protein interactions.\r\n","year":"2018","department":[{"_id":"MaLo"}],"publisher":"Elsevier","publication_status":"published","author":[{"last_name":"Richter","first_name":"Ralf","full_name":"Richter, Ralf"},{"last_name":"Baranova","first_name":"Natalia","orcid":"0000-0002-3086-9124","id":"38661662-F248-11E8-B48F-1D18A9856A87","full_name":"Baranova, Natalia"},{"full_name":"Day, Anthony","first_name":"Anthony","last_name":"Day"},{"full_name":"Kwok, Jessica","last_name":"Kwok","first_name":"Jessica"}],"volume":50,"date_updated":"2023-09-11T14:07:03Z","date_created":"2018-12-11T11:47:09Z","publist_id":"7259","citation":{"ama":"Richter R, Baranova NS, Day A, Kwok J. Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. 2018;50:65-74. doi:10.1016/j.sbi.2017.12.002","apa":"Richter, R., Baranova, N. S., Day, A., & Kwok, J. (2018). Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. Elsevier. https://doi.org/10.1016/j.sbi.2017.12.002","ieee":"R. Richter, N. S. Baranova, A. Day, and J. Kwok, “Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets?,” Current Opinion in Structural Biology, vol. 50. Elsevier, pp. 65–74, 2018.","ista":"Richter R, Baranova NS, Day A, Kwok J. 2018. Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. 50, 65–74.","short":"R. Richter, N.S. Baranova, A. Day, J. Kwok, Current Opinion in Structural Biology 50 (2018) 65–74.","mla":"Richter, Ralf, et al. “Glycosaminoglycans in Extracellular Matrix Organisation: Are Concepts from Soft Matter Physics Key to Understanding the Formation of Perineuronal Nets?” Current Opinion in Structural Biology, vol. 50, Elsevier, 2018, pp. 65–74, doi:10.1016/j.sbi.2017.12.002.","chicago":"Richter, Ralf, Natalia S. Baranova, Anthony Day, and Jessica Kwok. “Glycosaminoglycans in Extracellular Matrix Organisation: Are Concepts from Soft Matter Physics Key to Understanding the Formation of Perineuronal Nets?” Current Opinion in Structural Biology. Elsevier, 2018. https://doi.org/10.1016/j.sbi.2017.12.002."},"publication":"Current Opinion in Structural Biology","page":"65 - 74","article_type":"original","date_published":"2018-06-01T00:00:00Z","scopus_import":"1","article_processing_charge":"No","day":"01","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"555","intvolume":" 50","status":"public","title":"Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets?","oa_version":"Submitted Version","type":"journal_article","abstract":[{"text":"Conventional wisdom has it that proteins fold and assemble into definite structures, and that this defines their function. Glycosaminoglycans (GAGs) are different. In most cases the structures they form have a low degree of order, even when interacting with proteins. Here, we discuss how physical features common to all GAGs — hydrophilicity, charge, linearity and semi-flexibility — underpin the overall properties of GAG-rich matrices. By integrating soft matter physics concepts (e.g. polymer brushes and phase separation) with our molecular understanding of GAG–protein interactions, we can better comprehend how GAG-rich matrices assemble, what their properties are, and how they function. Taking perineuronal nets (PNNs) — a GAG-rich matrix enveloping neurons — as a relevant example, we propose that microphase separation determines the holey PNN anatomy that is pivotal to PNN functions.","lang":"eng"}]},{"quality_controlled":"1","isi":1,"external_id":{"isi":["000426559600026"]},"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,"language":[{"iso":"eng"}],"doi":"10.1038/s41559-017-0459-1","month":"02","publication_status":"published","department":[{"_id":"BeVi"}],"publisher":"Springer Nature","acknowledgement":"We thank O. Niehuis for allowing use of the unpublished E. danica genome, J. Gadau and C. Smith for comments and advice on the manuscript, and J. Schmitz for assistance with analyses and proofreading the manuscript. J.K. thanks Charles Darwin University (Australia), especially S. Garnett and the Horticulture and Aquaculture team, for providing logistic support to collect C. secundus. The Parks and Wildlife Commission, Northern Territory, the Department of the Environment, Water, Heritage and the Arts gave permission to collect (Permit number 36401) and export (Permit WT2010-6997) the termites. USDA is an equal opportunity provider and employer. M.C.H. and E.J. are supported by DFG grant BO2544/11-1 to E.B.-B. J.K. is supported by University of Osnabrück and DFG grant KO1895/16-1. X.B. and M.-D.P. are supported by Spanish Ministerio de Economía y Competitividad (CGL2012-36251 and CGL2015-64727-P to X.B., and CGL2016-76011-R to M.-D.P.), including FEDER funds, and by Catalan Government (2014 SGR 619). C.S. is supported by grants from the US Department of Housing and Urban Development (NCHHU-0017-13), the National Science Foundation (IOS-1557864), the Alfred P. Sloan Foundation (2013-5-35 MBE), the National Institute of Environmental Health Sciences (P30ES025128) to the Center for Human Health and the Environment, and the Blanton J. Whitmire Endowment. M.P. is supported by a Villum Kann Rasmussen Young Investigator Fellowship (VKR10101).","year":"2018","date_created":"2018-12-11T11:46:32Z","date_updated":"2023-09-11T14:10:57Z","volume":2,"author":[{"full_name":"Harrison, Mark","first_name":"Mark","last_name":"Harrison"},{"first_name":"Evelien","last_name":"Jongepier","full_name":"Jongepier, Evelien"},{"full_name":"Robertson, Hugh","first_name":"Hugh","last_name":"Robertson"},{"first_name":"Nicolas","last_name":"Arning","full_name":"Arning, Nicolas"},{"full_name":"Bitard Feildel, Tristan","first_name":"Tristan","last_name":"Bitard Feildel"},{"last_name":"Chao","first_name":"Hsu","full_name":"Chao, Hsu"},{"last_name":"Childers","first_name":"Christopher","full_name":"Childers, Christopher"},{"full_name":"Dinh, Huyen","first_name":"Huyen","last_name":"Dinh"},{"last_name":"Doddapaneni","first_name":"Harshavardhan","full_name":"Doddapaneni, Harshavardhan"},{"last_name":"Dugan","first_name":"Shannon","full_name":"Dugan, Shannon"},{"last_name":"Gowin","first_name":"Johannes","full_name":"Gowin, Johannes"},{"full_name":"Greiner, Carolin","last_name":"Greiner","first_name":"Carolin"},{"full_name":"Han, Yi","last_name":"Han","first_name":"Yi"},{"full_name":"Hu, Haofu","first_name":"Haofu","last_name":"Hu"},{"last_name":"Hughes","first_name":"Daniel","full_name":"Hughes, Daniel"},{"full_name":"Huylmans, Ann K","last_name":"Huylmans","first_name":"Ann K","orcid":"0000-0001-8871-4961","id":"4C0A3874-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Kemena","first_name":"Karsten","full_name":"Kemena, Karsten"},{"full_name":"Kremer, Lukas","last_name":"Kremer","first_name":"Lukas"},{"full_name":"Lee, Sandra","first_name":"Sandra","last_name":"Lee"},{"last_name":"López Ezquerra","first_name":"Alberto","full_name":"López Ezquerra, Alberto"},{"full_name":"Mallet, Ludovic","first_name":"Ludovic","last_name":"Mallet"},{"last_name":"Monroy Kuhn","first_name":"Jose","full_name":"Monroy Kuhn, Jose"},{"first_name":"Annabell","last_name":"Moser","full_name":"Moser, Annabell"},{"first_name":"Shwetha","last_name":"Murali","full_name":"Murali, Shwetha"},{"full_name":"Muzny, Donna","last_name":"Muzny","first_name":"Donna"},{"full_name":"Otani, Saria","first_name":"Saria","last_name":"Otani"},{"last_name":"Piulachs","first_name":"Maria","full_name":"Piulachs, Maria"},{"first_name":"Monica","last_name":"Poelchau","full_name":"Poelchau, Monica"},{"full_name":"Qu, Jiaxin","last_name":"Qu","first_name":"Jiaxin"},{"last_name":"Schaub","first_name":"Florentine","full_name":"Schaub, Florentine"},{"first_name":"Ayako","last_name":"Wada Katsumata","full_name":"Wada Katsumata, Ayako"},{"full_name":"Worley, Kim","last_name":"Worley","first_name":"Kim"},{"first_name":"Qiaolin","last_name":"Xie","full_name":"Xie, Qiaolin"},{"first_name":"Guillem","last_name":"Ylla","full_name":"Ylla, Guillem"},{"last_name":"Poulsen","first_name":"Michael","full_name":"Poulsen, Michael"},{"last_name":"Gibbs","first_name":"Richard","full_name":"Gibbs, Richard"},{"full_name":"Schal, Coby","last_name":"Schal","first_name":"Coby"},{"last_name":"Richards","first_name":"Stephen","full_name":"Richards, Stephen"},{"last_name":"Belles","first_name":"Xavier","full_name":"Belles, Xavier"},{"full_name":"Korb, Judith","first_name":"Judith","last_name":"Korb"},{"full_name":"Bornberg Bauer, Erich","last_name":"Bornberg Bauer","first_name":"Erich"}],"related_material":{"record":[{"status":"public","relation":"research_data","id":"9841"}]},"file_date_updated":"2020-07-14T12:46:30Z","publist_id":"7375","page":"557-566","publication":"Nature Ecology and Evolution","citation":{"mla":"Harrison, Mark, et al. “Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality.” Nature Ecology and Evolution, vol. 2, no. 3, Springer Nature, 2018, pp. 557–66, doi:10.1038/s41559-017-0459-1.","short":"M. Harrison, E. Jongepier, H. Robertson, N. Arning, T. Bitard Feildel, H. Chao, C. Childers, H. Dinh, H. Doddapaneni, S. Dugan, J. Gowin, C. Greiner, Y. Han, H. Hu, D. Hughes, A.K. Huylmans, K. Kemena, L. Kremer, S. Lee, A. López Ezquerra, L. Mallet, J. Monroy Kuhn, A. Moser, S. Murali, D. Muzny, S. Otani, M. Piulachs, M. Poelchau, J. Qu, F. Schaub, A. Wada Katsumata, K. Worley, Q. Xie, G. Ylla, M. Poulsen, R. Gibbs, C. Schal, S. Richards, X. Belles, J. Korb, E. Bornberg Bauer, Nature Ecology and Evolution 2 (2018) 557–566.","chicago":"Harrison, Mark, Evelien Jongepier, Hugh Robertson, Nicolas Arning, Tristan Bitard Feildel, Hsu Chao, Christopher Childers, et al. “Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality.” Nature Ecology and Evolution. Springer Nature, 2018. https://doi.org/10.1038/s41559-017-0459-1.","ama":"Harrison M, Jongepier E, Robertson H, et al. Hemimetabolous genomes reveal molecular basis of termite eusociality. Nature Ecology and Evolution. 2018;2(3):557-566. doi:10.1038/s41559-017-0459-1","ista":"Harrison M, Jongepier E, Robertson H, Arning N, Bitard Feildel T, Chao H, Childers C, Dinh H, Doddapaneni H, Dugan S, Gowin J, Greiner C, Han Y, Hu H, Hughes D, Huylmans AK, Kemena K, Kremer L, Lee S, López Ezquerra A, Mallet L, Monroy Kuhn J, Moser A, Murali S, Muzny D, Otani S, Piulachs M, Poelchau M, Qu J, Schaub F, Wada Katsumata A, Worley K, Xie Q, Ylla G, Poulsen M, Gibbs R, Schal C, Richards S, Belles X, Korb J, Bornberg Bauer E. 2018. Hemimetabolous genomes reveal molecular basis of termite eusociality. Nature Ecology and Evolution. 2(3), 557–566.","apa":"Harrison, M., Jongepier, E., Robertson, H., Arning, N., Bitard Feildel, T., Chao, H., … Bornberg Bauer, E. (2018). Hemimetabolous genomes reveal molecular basis of termite eusociality. Nature Ecology and Evolution. Springer Nature. https://doi.org/10.1038/s41559-017-0459-1","ieee":"M. Harrison et al., “Hemimetabolous genomes reveal molecular basis of termite eusociality,” Nature Ecology and Evolution, vol. 2, no. 3. Springer Nature, pp. 557–566, 2018."},"date_published":"2018-02-05T00:00:00Z","scopus_import":"1","day":"05","has_accepted_license":"1","article_processing_charge":"No","ddc":["576"],"title":"Hemimetabolous genomes reveal molecular basis of termite eusociality","status":"public","intvolume":" 2","_id":"448","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa_version":"Published Version","file":[{"relation":"main_file","file_id":"4731","date_updated":"2020-07-14T12:46:30Z","date_created":"2018-12-12T10:09:08Z","checksum":"874953136ac125e65f37971d3cabc5b7","file_name":"IST-2018-969-v1+1_2018_Huylmans_Hemimetabolous_genomes.pdf","access_level":"open_access","file_size":3730583,"content_type":"application/pdf","creator":"system"}],"pubrep_id":"969","type":"journal_article","abstract":[{"text":"Around 150 million years ago, eusocial termites evolved from within the cockroaches, 50 million years before eusocial Hymenoptera, such as bees and ants, appeared. Here, we report the 2-Gb genome of the German cockroach, Blattella germanica, and the 1.3-Gb genome of the drywood termite Cryptotermes secundus. We show evolutionary signatures of termite eusociality by comparing the genomes and transcriptomes of three termites and the cockroach against the background of 16 other eusocial and non-eusocial insects. Dramatic adaptive changes in genes underlying the production and perception of pheromones confirm the importance of chemical communication in the termites. These are accompanied by major changes in gene regulation and the molecular evolution of caste determination. Many of these results parallel molecular mechanisms of eusocial evolution in Hymenoptera. However, the specific solutions are remarkably different, thus revealing a striking case of convergence in one of the major evolutionary transitions in biological complexity.","lang":"eng"}],"issue":"3"},{"month":"05","oa":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"},"external_id":{"isi":["000428239300010"]},"project":[{"grant_number":"618091","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation","call_identifier":"FP7"}],"quality_controlled":"1","isi":1,"doi":"10.1007/s00453-017-0369-2","language":[{"iso":"eng"}],"publist_id":"6957","ec_funded":1,"file_date_updated":"2020-07-14T12:47:54Z","year":"2018","publisher":"Springer","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"publication_status":"published","author":[{"full_name":"Oliveto, Pietro","first_name":"Pietro","last_name":"Oliveto"},{"full_name":"Paixao, Tiago","first_name":"Tiago","last_name":"Paixao","id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2361-3953"},{"full_name":"Pérez Heredia, Jorge","last_name":"Pérez Heredia","first_name":"Jorge"},{"first_name":"Dirk","last_name":"Sudholt","full_name":"Sudholt, Dirk"},{"orcid":"0000-0002-6873-2967","id":"42302D54-F248-11E8-B48F-1D18A9856A87","last_name":"Trubenova","first_name":"Barbora","full_name":"Trubenova, Barbora"}],"volume":80,"date_created":"2018-12-11T11:48:09Z","date_updated":"2023-09-11T14:11:35Z","scopus_import":"1","has_accepted_license":"1","article_processing_charge":"No","day":"01","citation":{"apa":"Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2018). How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. Springer. https://doi.org/10.1007/s00453-017-0369-2","ieee":"P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How to escape local optima in black box optimisation when non elitism outperforms elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.","ista":"Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. 80(5), 1604–1633.","ama":"Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape local optima in black box optimisation when non elitism outperforms elitism. 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Using the metaphor of a fitness landscape, local optima correspond to hills separated by fitness valleys that have to be overcome. We define a class of fitness valleys of tunable difficulty by considering their length, representing the Hamming path between the two optima and their depth, the drop in fitness. For this function class we present a runtime comparison between stochastic search algorithms using different search strategies. The (1+1) EA is a simple and well-studied evolutionary algorithm that has to jump across the valley to a point of higher fitness because it does not accept worsening moves (elitism). In contrast, the Metropolis algorithm and the Strong Selection Weak Mutation (SSWM) algorithm, a famous process in population genetics, are both able to cross the fitness valley by accepting worsening moves. We show that the runtime of the (1+1) EA depends critically on the length of the valley while the runtimes of the non-elitist algorithms depend crucially on the depth of the valley. Moreover, we show that both SSWM and Metropolis can also efficiently optimise a rugged function consisting of consecutive valleys.","lang":"eng"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"723","intvolume":" 80","title":"How to escape local optima in black box optimisation when non elitism outperforms elitism","ddc":["576"],"status":"public","pubrep_id":"1014","file":[{"file_id":"4674","relation":"main_file","date_updated":"2020-07-14T12:47:54Z","date_created":"2018-12-12T10:08:14Z","checksum":"7d92f5d7be81e387edeec4f06442791c","file_name":"IST-2018-1014-v1+1_2018_Paixao_Escape.pdf","access_level":"open_access","creator":"system","content_type":"application/pdf","file_size":691245}],"oa_version":"Published Version"},{"file_date_updated":"2020-07-14T12:46:03Z","publist_id":"7544","year":"2018","publication_status":"published","department":[{"_id":"ChLa"}],"publisher":"IEEE","author":[{"last_name":"Darrell","first_name":"Trevor","full_name":"Darrell, Trevor"},{"full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","last_name":"Lampert","first_name":"Christoph"},{"last_name":"Sebe","first_name":"Nico","full_name":"Sebe, Nico"},{"first_name":"Ying","last_name":"Wu","full_name":"Wu, Ying"},{"first_name":"Yan","last_name":"Yan","full_name":"Yan, Yan"}],"date_updated":"2023-09-11T14:07:54Z","date_created":"2018-12-11T11:45:48Z","volume":40,"month":"05","oa":1,"external_id":{"isi":["000428901200001"]},"isi":1,"quality_controlled":"1","doi":"10.1109/TPAMI.2018.2804998","language":[{"iso":"eng"}],"type":"journal_article","abstract":[{"lang":"eng","text":"The twelve papers in this special section focus on learning systems with shared information for computer vision and multimedia communication analysis. In the real world, a realistic setting for computer vision or multimedia recognition problems is that we have some classes containing lots of training data and many classes containing a small amount of training data. Therefore, how to use frequent classes to help learning rare classes for which it is harder to collect the training data is an open question. Learning with shared information is an emerging topic in machine learning, computer vision and multimedia analysis. There are different levels of components that can be shared during concept modeling and machine learning stages, such as sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, etc. Regarding the specific methods, multi-task learning, transfer learning and deep learning can be seen as using different strategies to share information. These learning with shared information methods are very effective in solving real-world large-scale problems."}],"issue":"5","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"321","ddc":["000"],"status":"public","title":"Guest editors' introduction to the special section on learning with Shared information for computer vision and multimedia analysis","intvolume":" 40","file":[{"file_id":"7835","relation":"main_file","date_created":"2020-05-14T12:50:48Z","date_updated":"2020-07-14T12:46:03Z","checksum":"b19c75da06faf3291a3ca47dfa50ef63","file_name":"2018_IEEE_Darrell.pdf","access_level":"open_access","creator":"dernst","content_type":"application/pdf","file_size":141724}],"oa_version":"Published Version","scopus_import":"1","day":"01","has_accepted_license":"1","article_processing_charge":"No","publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","citation":{"ama":"Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 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Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5), 1029–1031.","short":"T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.","mla":"Darrell, Trevor, et al. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998.","chicago":"Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2018. https://doi.org/10.1109/TPAMI.2018.2804998."},"article_type":"original","page":"1029 - 1031","date_published":"2018-05-01T00:00:00Z"},{"day":"12","month":"12","article_processing_charge":"No","doi":"10.5061/dryad.51d4r","date_published":"2018-12-12T00:00:00Z","citation":{"ieee":"M. C. Harrison et al., “Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality.” Dryad, 2018.","apa":"Harrison, M. C., Jongepier, E., Robertson, H. M., Arning, N., Bitard-Feildel, T., Chao, H., … Bornberg-Bauer, E. (2018). Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. 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Childers, et al. “Data from: Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality.” Dryad, 2018. https://doi.org/10.5061/dryad.51d4r.","short":"M.C. Harrison, E. Jongepier, H.M. Robertson, N. Arning, T. Bitard-Feildel, H. Chao, C.P. Childers, H. Dinh, H. Doddapaneni, S. Dugan, J. Gowin, C. Greiner, Y. Han, H. Hu, D.S.T. Hughes, A.K. Huylmans, C. Kemena, L.P.M. Kremer, S.L. Lee, A. Lopez-Ezquerra, L. Mallet, J.M. Monroy-Kuhn, A. Moser, S.C. Murali, D.M. Muzny, S. Otani, M.-D. Piulachs, M. Poelchau, J. Qu, F. Schaub, A. Wada-Katsumata, K.C. Worley, Q. Xie, G. Ylla, M. Poulsen, R.A. Gibbs, C. Schal, S. Richards, X. Belles, J. Korb, E. Bornberg-Bauer, (2018).","mla":"Harrison, Mark C., et al. Data from: Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality. 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However, the specific solutions are remarkably different, thus revealing a striking case of convergence in one of the major evolutionary transitions in biological complexity."}],"type":"research_data_reference","date_created":"2021-08-09T13:13:48Z","date_updated":"2023-09-11T14:10:56Z","oa_version":"Published Version","author":[{"full_name":"Harrison, Mark C.","first_name":"Mark C.","last_name":"Harrison"},{"full_name":"Jongepier, Evelien","last_name":"Jongepier","first_name":"Evelien"},{"last_name":"Robertson","first_name":"Hugh M.","full_name":"Robertson, Hugh M."},{"full_name":"Arning, Nicolas","last_name":"Arning","first_name":"Nicolas"},{"last_name":"Bitard-Feildel","first_name":"Tristan","full_name":"Bitard-Feildel, Tristan"},{"last_name":"Chao","first_name":"Hsu","full_name":"Chao, Hsu"},{"full_name":"Childers, Christopher P.","last_name":"Childers","first_name":"Christopher P."},{"full_name":"Dinh, Huyen","first_name":"Huyen","last_name":"Dinh"},{"first_name":"Harshavardhan","last_name":"Doddapaneni","full_name":"Doddapaneni, Harshavardhan"},{"last_name":"Dugan","first_name":"Shannon","full_name":"Dugan, Shannon"},{"last_name":"Gowin","first_name":"Johannes","full_name":"Gowin, Johannes"},{"last_name":"Greiner","first_name":"Carolin","full_name":"Greiner, Carolin"},{"last_name":"Han","first_name":"Yi","full_name":"Han, Yi"},{"first_name":"Haofu","last_name":"Hu","full_name":"Hu, Haofu"},{"full_name":"Hughes, Daniel S. 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M."},{"last_name":"Lee","first_name":"Sandra L.","full_name":"Lee, Sandra L."},{"full_name":"Lopez-Ezquerra, Alberto","first_name":"Alberto","last_name":"Lopez-Ezquerra"},{"full_name":"Mallet, Ludovic","last_name":"Mallet","first_name":"Ludovic"},{"last_name":"Monroy-Kuhn","first_name":"Jose M.","full_name":"Monroy-Kuhn, Jose M."},{"first_name":"Annabell","last_name":"Moser","full_name":"Moser, Annabell"},{"full_name":"Murali, Shwetha C.","first_name":"Shwetha C.","last_name":"Murali"},{"full_name":"Muzny, Donna M.","first_name":"Donna M.","last_name":"Muzny"},{"full_name":"Otani, Saria","last_name":"Otani","first_name":"Saria"},{"last_name":"Piulachs","first_name":"Maria-Dolors","full_name":"Piulachs, Maria-Dolors"},{"last_name":"Poelchau","first_name":"Monica","full_name":"Poelchau, Monica"},{"full_name":"Qu, Jiaxin","last_name":"Qu","first_name":"Jiaxin"},{"last_name":"Schaub","first_name":"Florentine","full_name":"Schaub, Florentine"},{"full_name":"Wada-Katsumata, Ayako","last_name":"Wada-Katsumata","first_name":"Ayako"},{"last_name":"Worley","first_name":"Kim C.","full_name":"Worley, Kim C."},{"last_name":"Xie","first_name":"Qiaolin","full_name":"Xie, Qiaolin"},{"full_name":"Ylla, Guillem","first_name":"Guillem","last_name":"Ylla"},{"full_name":"Poulsen, Michael","last_name":"Poulsen","first_name":"Michael"},{"full_name":"Gibbs, Richard A.","first_name":"Richard A.","last_name":"Gibbs"},{"full_name":"Schal, Coby","first_name":"Coby","last_name":"Schal"},{"full_name":"Richards, Stephen","first_name":"Stephen","last_name":"Richards"},{"last_name":"Belles","first_name":"Xavier","full_name":"Belles, Xavier"},{"full_name":"Korb, Judith","first_name":"Judith","last_name":"Korb"},{"first_name":"Erich","last_name":"Bornberg-Bauer","full_name":"Bornberg-Bauer, Erich"}],"related_material":{"record":[{"id":"448","status":"public","relation":"used_in_publication"}]},"status":"public","title":"Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality","department":[{"_id":"BeVi"}],"publisher":"Dryad","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","_id":"9841","year":"2018"},{"article_processing_charge":"No","day":"10","scopus_import":"1","date_published":"2018-02-10T00:00:00Z","citation":{"short":"M. Arbel Raviv, T.A. Brown, in:, ACM, 2018, pp. 14–27.","mla":"Arbel Raviv, Maya, and Trevor A. Brown. Harnessing Epoch-Based Reclamation for Efficient Range Queries. Vol. 53, no. 1, ACM, 2018, pp. 14–27, doi:10.1145/3178487.3178489.","chicago":"Arbel Raviv, Maya, and Trevor A Brown. “Harnessing Epoch-Based Reclamation for Efficient Range Queries,” 53:14–27. ACM, 2018. https://doi.org/10.1145/3178487.3178489.","ama":"Arbel Raviv M, Brown TA. Harnessing epoch-based reclamation for efficient range queries. In: Vol 53. ACM; 2018:14-27. doi:10.1145/3178487.3178489","ieee":"M. Arbel Raviv and T. A. Brown, “Harnessing epoch-based reclamation for efficient range queries,” presented at the PPoPP: Principles and Practice of Parallel Programming, Vienna, Austria, 2018, vol. 53, no. 1, pp. 14–27.","apa":"Arbel Raviv, M., & Brown, T. A. (2018). Harnessing epoch-based reclamation for efficient range queries (Vol. 53, pp. 14–27). Presented at the PPoPP: Principles and Practice of Parallel Programming, Vienna, Austria: ACM. https://doi.org/10.1145/3178487.3178489","ista":"Arbel Raviv M, Brown TA. 2018. Harnessing epoch-based reclamation for efficient range queries. PPoPP: Principles and Practice of Parallel Programming, PPoPP, vol. 53, 14–27."},"page":"14 - 27","issue":"1","abstract":[{"lang":"eng","text":"Concurrent sets with range query operations are highly desirable in applications such as in-memory databases. However, few set implementations offer range queries. Known techniques for augmenting data structures with range queries (or operations that can be used to build range queries) have numerous problems that limit their usefulness. For example, they impose high overhead or rely heavily on garbage collection. In this work, we show how to augment data structures with highly efficient range queries, without relying on garbage collection. We identify a property of epoch-based memory reclamation algorithms that makes them ideal for implementing range queries, and produce three algorithms, which use locks, transactional memory and lock-free techniques, respectively. Our algorithms are applicable to more data structures than previous work, and are shown to be highly efficient on a large scale Intel system. "}],"type":"conference","alternative_title":["PPoPP"],"oa_version":"None","_id":"397","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","intvolume":" 53","title":"Harnessing epoch-based reclamation for efficient range queries","status":"public","publication_identifier":{"isbn":["978-1-4503-4982-6"]},"month":"02","doi":"10.1145/3178487.3178489","conference":{"name":"PPoPP: Principles and Practice of Parallel Programming","location":"Vienna, Austria","start_date":"2018-02-24","end_date":"2018-02-28"},"language":[{"iso":"eng"}],"external_id":{"isi":["000446161100002"]},"isi":1,"quality_controlled":"1","publist_id":"7430","author":[{"last_name":"Arbel Raviv","first_name":"Maya","full_name":"Arbel Raviv, Maya"},{"full_name":"Brown, Trevor A","last_name":"Brown","first_name":"Trevor A","id":"3569F0A0-F248-11E8-B48F-1D18A9856A87"}],"volume":53,"date_updated":"2023-09-11T14:10:25Z","date_created":"2018-12-11T11:46:14Z","year":"2018","department":[{"_id":"DaAl"}],"publisher":"ACM","publication_status":"published"}]