[{"scopus_import":"1","year":"2022","type":"journal_article","isi":1,"oa_version":"Published Version","pmid":1,"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.3389/fncel.2022.1022431","external_id":{"isi":["000886526600001"],"pmid":["36406752"]},"department":[{"_id":"GaNo"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","publication_status":"published","ddc":["570"],"_id":"12140","language":[{"iso":"eng"}],"publication_identifier":{"issn":["1662-5102"]},"file_date_updated":"2023-01-24T09:16:29Z","acknowledgement":"The write-up of the review was supported by Sapienza University of Rome (Fondi di Ateneo, grant numbers #MA32117A7B698029 and #PH12017270934C3C to SD), Regione Lazio (POR FSE 2014/20, grant number #19036AP000000019 to SD), Fulbright 2019 (grant number\r\n#FSP-P005556 to SD), Institute Pasteur Italia (Fondi Cenci Bolognetti #363 to DR), and Network of European Funding for Neuroscience Research (ERA-NET NEURON Transnational\r\nResearch Projects on Neurodevelopmental Disorders 2021, grant acronym #JTC2021-SHANKAstro to DR).","article_processing_charge":"No","abstract":[{"lang":"eng","text":"Microglia are dynamic cells, constantly surveying their surroundings and interacting with neurons and synapses. Indeed, a wealth of knowledge has revealed a critical role of microglia in modulating synaptic transmission and plasticity in the developing brain. In the past decade, novel pharmacological and genetic strategies have allowed the acute removal of microglia, opening the possibility to explore and understand the role of microglia also in the adult brain. In this review, we summarized and discussed the contribution of microglia depletion strategies to the current understanding of the role of microglia on synaptic function, learning and memory, and behavior both in physiological and pathological conditions. We first described the available microglia depletion methods highlighting their main strengths and weaknesses. We then reviewed the impact of microglia depletion on structural and functional synaptic plasticity. Next, we focused our analysis on the effects of microglia depletion on behavior, including general locomotor activity, sensory perception, motor function, sociability, learning and memory both in healthy animals and animal models of disease. Finally, we integrated the findings from the reviewed studies and discussed the emerging roles of microglia on the maintenance of synaptic function, learning, memory strength and forgetfulness, and the implications of microglia depletion in models of brain disease."}],"file":[{"checksum":"84696213ecf99182c58a9f34b9ff2e23","file_name":"2022_FrontiersNeuroscience_Basilico.pdf","success":1,"date_updated":"2023-01-24T09:16:29Z","access_level":"open_access","content_type":"application/pdf","date_created":"2023-01-24T09:16:29Z","file_id":"12352","relation":"main_file","creator":"dernst","file_size":6399987}],"citation":{"chicago":"Basilico, Bernadette, Laura Ferrucci, Azka Khan, Silvia Di Angelantonio, Davide Ragozzino, and Ingrid Reverte. “What Microglia Depletion Approaches Tell Us about the Role of Microglia on Synaptic Function and Behavior.” <i>Frontiers in Cellular Neuroscience</i>. Frontiers Media, 2022. <a href=\"https://doi.org/10.3389/fncel.2022.1022431\">https://doi.org/10.3389/fncel.2022.1022431</a>.","ama":"Basilico B, Ferrucci L, Khan A, Di Angelantonio S, Ragozzino D, Reverte I. What microglia depletion approaches tell us about the role of microglia on synaptic function and behavior. <i>Frontiers in Cellular Neuroscience</i>. 2022;16. doi:<a href=\"https://doi.org/10.3389/fncel.2022.1022431\">10.3389/fncel.2022.1022431</a>","ista":"Basilico B, Ferrucci L, Khan A, Di Angelantonio S, Ragozzino D, Reverte I. 2022. What microglia depletion approaches tell us about the role of microglia on synaptic function and behavior. Frontiers in Cellular Neuroscience. 16, 1022431.","mla":"Basilico, Bernadette, et al. “What Microglia Depletion Approaches Tell Us about the Role of Microglia on Synaptic Function and Behavior.” <i>Frontiers in Cellular Neuroscience</i>, vol. 16, 1022431, Frontiers Media, 2022, doi:<a href=\"https://doi.org/10.3389/fncel.2022.1022431\">10.3389/fncel.2022.1022431</a>.","short":"B. Basilico, L. Ferrucci, A. Khan, S. Di Angelantonio, D. Ragozzino, I. Reverte, Frontiers in Cellular Neuroscience 16 (2022).","apa":"Basilico, B., Ferrucci, L., Khan, A., Di Angelantonio, S., Ragozzino, D., &#38; Reverte, I. (2022). What microglia depletion approaches tell us about the role of microglia on synaptic function and behavior. <i>Frontiers in Cellular Neuroscience</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/fncel.2022.1022431\">https://doi.org/10.3389/fncel.2022.1022431</a>","ieee":"B. Basilico, L. Ferrucci, A. Khan, S. Di Angelantonio, D. Ragozzino, and I. Reverte, “What microglia depletion approaches tell us about the role of microglia on synaptic function and behavior,” <i>Frontiers in Cellular Neuroscience</i>, vol. 16. Frontiers Media, 2022."},"day":"04","date_updated":"2023-08-04T08:56:10Z","date_published":"2022-11-04T00:00:00Z","date_created":"2023-01-12T12:04:50Z","month":"11","has_accepted_license":"1","article_type":"original","volume":16,"publisher":"Frontiers Media","quality_controlled":"1","keyword":["Cellular and Molecular Neuroscience"],"intvolume":"        16","publication":"Frontiers in Cellular Neuroscience","oa":1,"author":[{"full_name":"Basilico, Bernadette","id":"36035796-5ACA-11E9-A75E-7AF2E5697425","first_name":"Bernadette","last_name":"Basilico","orcid":"0000-0003-1843-3173"},{"full_name":"Ferrucci, Laura","first_name":"Laura","last_name":"Ferrucci"},{"first_name":"Azka","last_name":"Khan","full_name":"Khan, Azka"},{"first_name":"Silvia","last_name":"Di Angelantonio","full_name":"Di Angelantonio, Silvia"},{"full_name":"Ragozzino, Davide","first_name":"Davide","last_name":"Ragozzino"},{"full_name":"Reverte, Ingrid","last_name":"Reverte","first_name":"Ingrid"}],"article_number":"1022431","title":"What microglia depletion approaches tell us about the role of microglia on synaptic function and behavior","status":"public"},{"scopus_import":"1","year":"2022","type":"journal_article","isi":1,"oa_version":"Published Version","doi":"10.1016/j.ajhg.2022.09.011","tmp":{"image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"MaRo"}],"external_id":{"isi":["000898683500006"]},"project":[{"grant_number":"PCEGP3_181181","_id":"9B8D11D6-BA93-11EA-9121-9846C619BF3A","name":"Improving estimation and prediction of common complex disease risk"}],"ddc":["570"],"publication_status":"published","_id":"12142","language":[{"iso":"eng"}],"acknowledgement":"This project was funded by an SNSF Eccellenza grant to M.R.R. (PCEGP3-181181), core funding from the Institute of Science and Technology Austria, and core funding from the Department of Computational Biology of the University of Lausanne. Z.K. was funded by the Swiss National Science Foundation (310030-189147). This research was supported by the Scientific Service Units (SSUs) of IST Austria through resources provided by Scientific Computing (SciComp). We would like to thank the participants of the UK Biobank.","article_processing_charge":"Yes (via OA deal)","publication_identifier":{"issn":["0002-9297"]},"file_date_updated":"2023-01-24T09:23:01Z","abstract":[{"text":"Theory for liability-scale models of the underlying genetic basis of complex disease provides an important way to interpret, compare, and understand results generated from biological studies. In particular, through estimation of the liability-scale heritability (LSH), liability models facilitate an understanding and comparison of the relative importance of genetic and environmental risk factors that shape different clinically important disease outcomes. Increasingly, large-scale biobank studies that link genetic information to electronic health records, containing hundreds of disease diagnosis indicators that mostly occur infrequently within the sample, are becoming available. Here, we propose an extension of the existing liability-scale model theory suitable for estimating LSH in biobank studies of low-prevalence disease. In a simulation study, we find that our derived expression yields lower mean square error (MSE) and is less sensitive to prevalence misspecification as compared to previous transformations for diseases with  =< 2% population prevalence and LSH of =< 0.45, especially if the biobank sample prevalence is less than that of the wider population. Applying our expression to 13 diagnostic outcomes of  =< 3% prevalence in the UK Biobank study revealed important differences in LSH obtained from the different theoretical expressions that impact the conclusions made when comparing LSH across disease outcomes. This demonstrates the importance of careful consideration for estimation and prediction of low-prevalence disease outcomes and facilitates improved inference of the underlying genetic basis of  =< 2% population prevalence diseases, especially where biobank sample ascertainment results in a healthier sample population.","lang":"eng"}],"date_updated":"2023-08-04T08:56:46Z","file":[{"checksum":"4cd7f12bfe21a8237bb095eedfa26361","date_updated":"2023-01-24T09:23:01Z","file_name":"2022_AJHG_Ojavee.pdf","success":1,"content_type":"application/pdf","access_level":"open_access","file_size":705195,"file_id":"12353","creator":"dernst","relation":"main_file","date_created":"2023-01-24T09:23:01Z"}],"day":"03","citation":{"chicago":"Ojavee, Sven E., Zoltan Kutalik, and Matthew Richard Robinson. “Liability-Scale Heritability Estimation for Biobank Studies of Low-Prevalence Disease.” <i>The American Journal of Human Genetics</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.ajhg.2022.09.011\">https://doi.org/10.1016/j.ajhg.2022.09.011</a>.","ama":"Ojavee SE, Kutalik Z, Robinson MR. Liability-scale heritability estimation for biobank studies of low-prevalence disease. <i>The American Journal of Human Genetics</i>. 2022;109(11):2009-2017. doi:<a href=\"https://doi.org/10.1016/j.ajhg.2022.09.011\">10.1016/j.ajhg.2022.09.011</a>","ista":"Ojavee SE, Kutalik Z, Robinson MR. 2022. Liability-scale heritability estimation for biobank studies of low-prevalence disease. The American Journal of Human Genetics. 109(11), 2009–2017.","mla":"Ojavee, Sven E., et al. “Liability-Scale Heritability Estimation for Biobank Studies of Low-Prevalence Disease.” <i>The American Journal of Human Genetics</i>, vol. 109, no. 11, Elsevier, 2022, pp. 2009–17, doi:<a href=\"https://doi.org/10.1016/j.ajhg.2022.09.011\">10.1016/j.ajhg.2022.09.011</a>.","apa":"Ojavee, S. E., Kutalik, Z., &#38; Robinson, M. R. (2022). Liability-scale heritability estimation for biobank studies of low-prevalence disease. <i>The American Journal of Human Genetics</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.ajhg.2022.09.011\">https://doi.org/10.1016/j.ajhg.2022.09.011</a>","short":"S.E. Ojavee, Z. Kutalik, M.R. Robinson, The American Journal of Human Genetics 109 (2022) 2009–2017.","ieee":"S. E. Ojavee, Z. Kutalik, and M. R. Robinson, “Liability-scale heritability estimation for biobank studies of low-prevalence disease,” <i>The American Journal of Human Genetics</i>, vol. 109, no. 11. Elsevier, pp. 2009–2017, 2022."},"month":"11","date_created":"2023-01-12T12:05:28Z","date_published":"2022-11-03T00:00:00Z","article_type":"original","volume":109,"has_accepted_license":"1","intvolume":"       109","publication":"The American Journal of Human Genetics","publisher":"Elsevier","page":"2009-2017","keyword":["Genetics (clinical)","Genetics"],"quality_controlled":"1","issue":"11","acknowledged_ssus":[{"_id":"ScienComp"}],"author":[{"first_name":"Sven E.","last_name":"Ojavee","full_name":"Ojavee, Sven E."},{"full_name":"Kutalik, Zoltan","first_name":"Zoltan","last_name":"Kutalik"},{"id":"E5D42276-F5DA-11E9-8E24-6303E6697425","full_name":"Robinson, Matthew Richard","first_name":"Matthew Richard","orcid":"0000-0001-8982-8813","last_name":"Robinson"}],"oa":1,"status":"public","title":"Liability-scale heritability estimation for biobank studies of low-prevalence disease"},{"publisher":"Elsevier","quality_controlled":"1","page":"4064-4079.e13","keyword":["Cell Biology","Molecular Biology"],"intvolume":"        82","publication":"Molecular Cell","issue":"21","acknowledged_ssus":[{"_id":"EM-Fac"}],"oa":1,"author":[{"first_name":"David","last_name":"Zapletal","full_name":"Zapletal, David"},{"full_name":"Taborska, Eliska","last_name":"Taborska","first_name":"Eliska"},{"last_name":"Pasulka","first_name":"Josef","full_name":"Pasulka, Josef"},{"last_name":"Malik","first_name":"Radek","full_name":"Malik, Radek"},{"last_name":"Kubicek","first_name":"Karel","full_name":"Kubicek, Karel"},{"full_name":"Zanova, Martina","last_name":"Zanova","first_name":"Martina"},{"last_name":"Much","first_name":"Christian","full_name":"Much, Christian"},{"first_name":"Marek","last_name":"Sebesta","full_name":"Sebesta, Marek"},{"first_name":"Valeria","last_name":"Buccheri","full_name":"Buccheri, Valeria"},{"last_name":"Horvat","first_name":"Filip","full_name":"Horvat, Filip"},{"full_name":"Jenickova, Irena","first_name":"Irena","last_name":"Jenickova"},{"full_name":"Prochazkova, Michaela","last_name":"Prochazkova","first_name":"Michaela"},{"full_name":"Prochazka, Jan","last_name":"Prochazka","first_name":"Jan"},{"full_name":"Pinkas, Matyas","first_name":"Matyas","last_name":"Pinkas"},{"first_name":"Jiri","last_name":"Novacek","full_name":"Novacek, Jiri"},{"full_name":"Joseph, Diego F.","first_name":"Diego F.","last_name":"Joseph"},{"full_name":"Sedlacek, Radislav","last_name":"Sedlacek","first_name":"Radislav"},{"full_name":"Bernecky, Carrie A","id":"2CB9DFE2-F248-11E8-B48F-1D18A9856A87","last_name":"Bernecky","orcid":"0000-0003-0893-7036","first_name":"Carrie A"},{"first_name":"Dónal","last_name":"O’Carroll","full_name":"O’Carroll, Dónal"},{"full_name":"Stefl, Richard","last_name":"Stefl","first_name":"Richard"},{"last_name":"Svoboda","first_name":"Petr","full_name":"Svoboda, Petr"}],"title":"Structural and functional basis of mammalian microRNA biogenesis by Dicer","status":"public","file":[{"content_type":"application/pdf","access_level":"open_access","creator":"dernst","relation":"main_file","file_id":"12354","file_size":7368534,"date_created":"2023-01-24T09:29:02Z","checksum":"999e443b54e4fdaa2542ca5a97619731","date_updated":"2023-01-24T09:29:02Z","success":1,"file_name":"2022_MolecularCell_Zapletal.pdf"}],"citation":{"short":"D. Zapletal, E. Taborska, J. Pasulka, R. Malik, K. Kubicek, M. Zanova, C. Much, M. Sebesta, V. Buccheri, F. Horvat, I. Jenickova, M. Prochazkova, J. Prochazka, M. Pinkas, J. Novacek, D.F. Joseph, R. Sedlacek, C. Bernecky, D. O’Carroll, R. Stefl, P. Svoboda, Molecular Cell 82 (2022) 4064–4079.e13.","apa":"Zapletal, D., Taborska, E., Pasulka, J., Malik, R., Kubicek, K., Zanova, M., … Svoboda, P. (2022). Structural and functional basis of mammalian microRNA biogenesis by Dicer. <i>Molecular Cell</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.molcel.2022.10.010\">https://doi.org/10.1016/j.molcel.2022.10.010</a>","ieee":"D. Zapletal <i>et al.</i>, “Structural and functional basis of mammalian microRNA biogenesis by Dicer,” <i>Molecular Cell</i>, vol. 82, no. 21. Elsevier, p. 4064–4079.e13, 2022.","chicago":"Zapletal, David, Eliska Taborska, Josef Pasulka, Radek Malik, Karel Kubicek, Martina Zanova, Christian Much, et al. “Structural and Functional Basis of Mammalian MicroRNA Biogenesis by Dicer.” <i>Molecular Cell</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.molcel.2022.10.010\">https://doi.org/10.1016/j.molcel.2022.10.010</a>.","ista":"Zapletal D, Taborska E, Pasulka J, Malik R, Kubicek K, Zanova M, Much C, Sebesta M, Buccheri V, Horvat F, Jenickova I, Prochazkova M, Prochazka J, Pinkas M, Novacek J, Joseph DF, Sedlacek R, Bernecky C, O’Carroll D, Stefl R, Svoboda P. 2022. Structural and functional basis of mammalian microRNA biogenesis by Dicer. Molecular Cell. 82(21), 4064–4079.e13.","ama":"Zapletal D, Taborska E, Pasulka J, et al. Structural and functional basis of mammalian microRNA biogenesis by Dicer. <i>Molecular Cell</i>. 2022;82(21):4064-4079.e13. doi:<a href=\"https://doi.org/10.1016/j.molcel.2022.10.010\">10.1016/j.molcel.2022.10.010</a>","mla":"Zapletal, David, et al. “Structural and Functional Basis of Mammalian MicroRNA Biogenesis by Dicer.” <i>Molecular Cell</i>, vol. 82, no. 21, Elsevier, 2022, p. 4064–4079.e13, doi:<a href=\"https://doi.org/10.1016/j.molcel.2022.10.010\">10.1016/j.molcel.2022.10.010</a>."},"day":"03","date_updated":"2023-08-04T08:57:17Z","date_created":"2023-01-12T12:05:36Z","date_published":"2022-11-03T00:00:00Z","month":"11","has_accepted_license":"1","volume":82,"article_type":"original","external_id":{"pmid":["36332606"],"isi":["000898565300011"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"CaBe"}],"ddc":["570"],"publication_status":"published","_id":"12143","language":[{"iso":"eng"}],"publication_identifier":{"issn":["1097-2765"]},"file_date_updated":"2023-01-24T09:29:02Z","article_processing_charge":"No","acknowledgement":"We thank Kristian Vlahovicek (University of Zagreb) for support of bioinformatics analyses and Vladimir Benes (EMBL Sequencing Facility) and Genomics and Bioinformatics Core Facility at the Institute of Molecular Genetics for help with RNA sequencing. The main funding was provided by the Czech Science Foundation (EXPRO grant 20-03950X to P.S. and 22-19896S to R. Stefl). Early stages of the work were supported by European Research Council grants under the European Union’s Horizon 2020 Research and Innovation Programme (grants 647403 to P.S. and 649030 to R. Stefl). V.B., D.F.J., and F.H. were in part supported by PhD student fellowships from the Charles University; this work will be in part fulfilling requirements for a PhD degree as “school work.” Funding of D.Z. included the OP RDE project “Internal Grant Agency of Masaryk University” no. CZ.02.2.69/0.0/0.0/19_073/0016943. The Ministry of Education, Youth, and Sports of the Czech Republic (MEYS CR) provided institutional support for CEITEC 2020 project LQ1601. For technical support, we acknowledge EMBL Monterotondo’s genome engineering and transgenic core facilities, the Czech Centre for Phenogenomics at the Institute of Molecular Genetics (supported by RVO 68378050 from the Czech Academy of Sciences and LM2018126 and CZ.02.1.01/0.0/0.0/18_046/0015861 CCP Infrastructure Upgrade II from MEYS CR), the Cryo-EM and Proteomics Core Facilities (CEITEC, Masaryk University) supported by the CIISB research infrastructure (LM2018127 from MEYS CR), and support from the Scientific Service Units of ISTA through resources from the Electron Microscopy Facility. Computational resources included e-Infrastruktura CZ (LM2018140) and ELIXIR-CZ (LM2018131) projects by MEYS CR and the Croatian National Centres of Research Excellence in Personalized Healthcare (#KK.01.1.1.01.0010) and Data Science and Advanced Cooperative Systems (#KK.01.1.1.01.0009) projects funded by the European Structural and Investment Funds grants.","abstract":[{"text":"MicroRNA (miRNA) and RNA interference (RNAi) pathways rely on small RNAs produced by Dicer endonucleases. Mammalian Dicer primarily supports the essential gene-regulating miRNA pathway, but how it is specifically adapted to miRNA biogenesis is unknown. We show that the adaptation entails a unique structural role of Dicer’s DExD/H helicase domain. Although mice tolerate loss of its putative ATPase function, the complete absence of the domain is lethal because it assures high-fidelity miRNA biogenesis. Structures of murine Dicer⋅miRNA precursor complexes revealed that the DExD/H domain has a helicase-unrelated structural function. It locks Dicer in a closed state, which facilitates miRNA precursor selection. Transition to a cleavage-competent open state is stimulated by Dicer-binding protein TARBP2. Absence of the DExD/H domain or its mutations unlocks the closed state, reduces substrate selectivity, and activates RNAi. Thus, the DExD/H domain structurally contributes to mammalian miRNA biogenesis and underlies mechanistical partitioning of miRNA and RNAi pathways.","lang":"eng"}],"scopus_import":"1","type":"journal_article","isi":1,"year":"2022","oa_version":"Published Version","pmid":1,"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.1016/j.molcel.2022.10.010"},{"ec_funded":1,"abstract":[{"text":"The phytohormone auxin is the major coordinative signal in plant development1, mediating transcriptional reprogramming by a well-established canonical signalling pathway. TRANSPORT INHIBITOR RESPONSE 1 (TIR1)/AUXIN-SIGNALING F-BOX (AFB) auxin receptors are F-box subunits of ubiquitin ligase complexes. In response to auxin, they associate with Aux/IAA transcriptional repressors and target them for degradation via ubiquitination2,3. Here we identify adenylate cyclase (AC) activity as an additional function of TIR1/AFB receptors across land plants. Auxin, together with Aux/IAAs, stimulates cAMP production. Three separate mutations in the AC motif of the TIR1 C-terminal region, all of which abolish the AC activity, each render TIR1 ineffective in mediating gravitropism and sustained auxin-induced root growth inhibition, and also affect auxin-induced transcriptional regulation. These results highlight the importance of TIR1/AFB AC activity in canonical auxin signalling. They also identify a unique phytohormone receptor cassette combining F-box and AC motifs, and the role of cAMP as a second messenger in plants.","lang":"eng"}],"article_processing_charge":"No","acknowledgement":"This research was supported by the Lab Support Facility (LSF) and the Imaging and Optics Facility (IOF) of IST Austria. We thank C. Gehring for suggestions and advice; and K. U. Torii and G. Stacey for seeds and plasmids. This project was funded by a European Research Council Advanced Grant (ETAP-742985). M.F.K. and R.N. acknowledge the support of the EU MSCA-IF project CrysPINs (792329). M.K. was supported by the project POWR.03.05.00-00-Z302/17 Universitas Copernicana Thoruniensis in Futuro–IDS “Academia Copernicana”. CIDG acknowledges support from UKRI under Future Leaders Fellowship grant number MR/T020652/1.","publication_identifier":{"eissn":["1476-4687"],"issn":["0028-0836"]},"language":[{"iso":"eng"}],"_id":"12144","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"JiFr"}],"project":[{"grant_number":"742985","call_identifier":"H2020","_id":"261099A6-B435-11E9-9278-68D0E5697425","name":"Tracing Evolution of Auxin Transport and Polarity in Plants"}],"external_id":{"pmid":["36289340"],"isi":["000875061600013"]},"doi":"10.1038/s41586-022-05369-7","pmid":1,"oa_version":"Submitted Version","type":"journal_article","year":"2022","isi":1,"scopus_import":"1","status":"public","title":"Adenylate cyclase activity of TIR1/AFB auxin receptors in plants","author":[{"first_name":"Linlin","orcid":"0000-0001-5187-8401","last_name":"Qi","id":"44B04502-A9ED-11E9-B6FC-583AE6697425","full_name":"Qi, Linlin"},{"first_name":"Mateusz","last_name":"Kwiatkowski","full_name":"Kwiatkowski, Mateusz"},{"last_name":"Chen","first_name":"Huihuang","full_name":"Chen, Huihuang","id":"83c96512-15b2-11ec-abd3-b7eede36184f"},{"last_name":"Hörmayer","orcid":"0000-0001-8295-2926","first_name":"Lukas","full_name":"Hörmayer, Lukas","id":"2EEE7A2A-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Scott A","last_name":"Sinclair","orcid":"0000-0002-4566-0593","full_name":"Sinclair, Scott A","id":"2D99FE6A-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Zou, Minxia","id":"5c243f41-03f3-11ec-841c-96faf48a7ef9","last_name":"Zou","first_name":"Minxia"},{"last_name":"del Genio","first_name":"Charo I.","full_name":"del Genio, Charo I."},{"last_name":"Kubeš","first_name":"Martin F.","full_name":"Kubeš, Martin F."},{"full_name":"Napier, Richard","last_name":"Napier","first_name":"Richard"},{"first_name":"Krzysztof","last_name":"Jaworski","full_name":"Jaworski, Krzysztof"},{"full_name":"Friml, Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8302-7596","last_name":"Friml","first_name":"Jiří"}],"oa":1,"acknowledged_ssus":[{"_id":"LifeSc"},{"_id":"Bio"}],"issue":"7934","publication":"Nature","intvolume":"       611","quality_controlled":"1","page":"133-138","main_file_link":[{"open_access":"1","url":"http://wrap.warwick.ac.uk/168325/1/WRAP-denylate-cyclase-activity-TIR1-AFB-auxin-receptors-root-growth-22.pdf"}],"publisher":"Springer Nature","article_type":"original","volume":611,"month":"11","date_created":"2023-01-12T12:06:05Z","date_published":"2022-11-03T00:00:00Z","date_updated":"2023-10-03T11:04:53Z","day":"03","citation":{"ieee":"L. Qi <i>et al.</i>, “Adenylate cyclase activity of TIR1/AFB auxin receptors in plants,” <i>Nature</i>, vol. 611, no. 7934. Springer Nature, pp. 133–138, 2022.","short":"L. Qi, M. Kwiatkowski, H. Chen, L. Hörmayer, S.A. Sinclair, M. Zou, C.I. del Genio, M.F. Kubeš, R. Napier, K. Jaworski, J. Friml, Nature 611 (2022) 133–138.","apa":"Qi, L., Kwiatkowski, M., Chen, H., Hörmayer, L., Sinclair, S. A., Zou, M., … Friml, J. (2022). Adenylate cyclase activity of TIR1/AFB auxin receptors in plants. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-022-05369-7\">https://doi.org/10.1038/s41586-022-05369-7</a>","chicago":"Qi, Linlin, Mateusz Kwiatkowski, Huihuang Chen, Lukas Hörmayer, Scott A Sinclair, Minxia Zou, Charo I. del Genio, et al. “Adenylate Cyclase Activity of TIR1/AFB Auxin Receptors in Plants.” <i>Nature</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41586-022-05369-7\">https://doi.org/10.1038/s41586-022-05369-7</a>.","mla":"Qi, Linlin, et al. “Adenylate Cyclase Activity of TIR1/AFB Auxin Receptors in Plants.” <i>Nature</i>, vol. 611, no. 7934, Springer Nature, 2022, pp. 133–38, doi:<a href=\"https://doi.org/10.1038/s41586-022-05369-7\">10.1038/s41586-022-05369-7</a>.","ista":"Qi L, Kwiatkowski M, Chen H, Hörmayer L, Sinclair SA, Zou M, del Genio CI, Kubeš MF, Napier R, Jaworski K, Friml J. 2022. Adenylate cyclase activity of TIR1/AFB auxin receptors in plants. Nature. 611(7934), 133–138.","ama":"Qi L, Kwiatkowski M, Chen H, et al. Adenylate cyclase activity of TIR1/AFB auxin receptors in plants. <i>Nature</i>. 2022;611(7934):133-138. doi:<a href=\"https://doi.org/10.1038/s41586-022-05369-7\">10.1038/s41586-022-05369-7</a>"}},{"oa_version":"Preprint","doi":"10.1134/S1560354722050021","scopus_import":"1","year":"2022","arxiv":1,"type":"journal_article","isi":1,"article_processing_charge":"No","acknowledgement":"We are grateful to the anonymous referees for their careful reading and valuable remarks and\r\ncomments which helped to improve the paper significantly. We gratefully acknowledge support from the European Research Council (ERC) through the Advanced Grant “SPERIG” (#885707).","publication_identifier":{"issn":["1560-3547"],"eissn":["1468-4845"]},"ec_funded":1,"abstract":[{"lang":"eng","text":"In the class of strictly convex smooth boundaries each of which has no strip around its boundary foliated by invariant curves, we prove that the Taylor coefficients of the “normalized” Mather’s β-function are invariant under C∞-conjugacies. In contrast, we prove that any two elliptic billiard maps are C0-conjugate near their respective boundaries, and C∞-conjugate, near the boundary and away from a line passing through the center of the underlying ellipse. We also prove that, if the billiard maps corresponding to two ellipses are topologically conjugate, then the two ellipses are similar."}],"department":[{"_id":"VaKa"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","external_id":{"isi":["000865267300002"],"arxiv":["2105.14640"]},"project":[{"name":"Spectral rigidity and integrability for billiards and geodesic flows","_id":"9B8B92DE-BA93-11EA-9121-9846C619BF3A","grant_number":"885707","call_identifier":"H2020"}],"publication_status":"published","language":[{"iso":"eng"}],"_id":"12145","month":"10","date_created":"2023-01-12T12:06:49Z","date_published":"2022-10-03T00:00:00Z","article_type":"original","volume":27,"date_updated":"2023-08-04T08:59:14Z","day":"03","citation":{"apa":"Koudjinan, E., &#38; Kaloshin, V. (2022). On some invariants of Birkhoff billiards under conjugacy. <i>Regular and Chaotic Dynamics</i>. Springer Nature. <a href=\"https://doi.org/10.1134/S1560354722050021\">https://doi.org/10.1134/S1560354722050021</a>","short":"E. Koudjinan, V. Kaloshin, Regular and Chaotic Dynamics 27 (2022) 525–537.","ieee":"E. Koudjinan and V. Kaloshin, “On some invariants of Birkhoff billiards under conjugacy,” <i>Regular and Chaotic Dynamics</i>, vol. 27, no. 6. Springer Nature, pp. 525–537, 2022.","chicago":"Koudjinan, Edmond, and Vadim Kaloshin. “On Some Invariants of Birkhoff Billiards under Conjugacy.” <i>Regular and Chaotic Dynamics</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1134/S1560354722050021\">https://doi.org/10.1134/S1560354722050021</a>.","ista":"Koudjinan E, Kaloshin V. 2022. On some invariants of Birkhoff billiards under conjugacy. Regular and Chaotic Dynamics. 27(6), 525–537.","ama":"Koudjinan E, Kaloshin V. On some invariants of Birkhoff billiards under conjugacy. <i>Regular and Chaotic Dynamics</i>. 2022;27(6):525-537. doi:<a href=\"https://doi.org/10.1134/S1560354722050021\">10.1134/S1560354722050021</a>","mla":"Koudjinan, Edmond, and Vadim Kaloshin. “On Some Invariants of Birkhoff Billiards under Conjugacy.” <i>Regular and Chaotic Dynamics</i>, vol. 27, no. 6, Springer Nature, 2022, pp. 525–37, doi:<a href=\"https://doi.org/10.1134/S1560354722050021\">10.1134/S1560354722050021</a>."},"related_material":{"link":[{"relation":"erratum","url":"https://doi.org/10.1134/s1560354722060107"}]},"author":[{"first_name":"Edmond","last_name":"Koudjinan","orcid":"0000-0003-2640-4049","full_name":"Koudjinan, Edmond","id":"52DF3E68-AEFA-11EA-95A4-124A3DDC885E"},{"full_name":"Kaloshin, Vadim","id":"FE553552-CDE8-11E9-B324-C0EBE5697425","orcid":"0000-0002-6051-2628","last_name":"Kaloshin","first_name":"Vadim"}],"oa":1,"status":"public","title":"On some invariants of Birkhoff billiards under conjugacy","intvolume":"        27","publication":"Regular and Chaotic Dynamics","publisher":"Springer Nature","page":"525-537","keyword":["Mechanical Engineering","Applied Mathematics","Mathematical Physics","Modeling and Simulation","Statistical and Nonlinear Physics","Mathematics (miscellaneous)"],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2105.14640","open_access":"1"}],"quality_controlled":"1","issue":"6"},{"scopus_import":"1","type":"journal_article","isi":1,"year":"2022","oa_version":"Submitted Version","doi":"10.1063/5.0124152","department":[{"_id":"BjHo"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"isi":["000880665300024"]},"publication_status":"published","_id":"12146","language":[{"iso":"eng"}],"article_processing_charge":"No","acknowledgement":"This work was supported by the Spanish MINECO under Grant Nos. FIS2017-85794-P and PRX18/00179, the Spanish MICINN through Grant No. PID2020-114043GB-I00, and the\r\nGeneralitat de Catalunya under Grant No. 2017-SGR-785. B.W.’s research was also supported by the Chinese Scholarship Council through Grant CSC No. 201806440152.","publication_identifier":{"issn":["1070-6631"],"eissn":["1089-7666"]},"abstract":[{"lang":"eng","text":"In this paper, we explore the stability and dynamical relevance of a wide variety of steady, time-periodic, quasiperiodic, and chaotic flows arising between orthogonally stretching parallel plates. We first explore the stability of all the steady flow solution families formerly identified by Ayats et al. [“Flows between orthogonally stretching parallel plates,” Phys. Fluids 33, 024103 (2021)], concluding that only the one that originates from the Stokesian approximation is actually stable. When both plates are shrinking at identical or nearly the same deceleration rates, this Stokesian flow exhibits a Hopf bifurcation that leads to stable time-periodic regimes. The resulting time-periodic orbits or flows are tracked for different Reynolds numbers and stretching rates while monitoring their Floquet exponents to identify secondary instabilities. It is found that these time-periodic flows also exhibit Neimark–Sacker bifurcations, generating stable quasiperiodic flows (tori) that may sometimes give rise to chaotic dynamics through a Ruelle–Takens–Newhouse scenario. However, chaotic dynamics is unusually observed, as the quasiperiodic flows generally become phase-locked through a resonance mechanism before a strange attractor may arise, thus restoring the time-periodicity of the flow. In this work, we have identified and tracked four different resonance regions, also known as Arnold tongues or horns. In particular, the 1 : 4 strong resonance region is explored in great detail, where the identified scenarios are in very good agreement with normal form theory. "}],"date_updated":"2023-10-03T11:07:58Z","citation":{"apa":"Wang, B., Ayats López, R., Meseguer, A., &#38; Marques, F. (2022). Phase-locking flows between orthogonally stretching parallel plates. <i>Physics of Fluids</i>. AIP Publishing. <a href=\"https://doi.org/10.1063/5.0124152\">https://doi.org/10.1063/5.0124152</a>","short":"B. Wang, R. Ayats López, A. Meseguer, F. Marques, Physics of Fluids 34 (2022).","ieee":"B. Wang, R. Ayats López, A. Meseguer, and F. Marques, “Phase-locking flows between orthogonally stretching parallel plates,” <i>Physics of Fluids</i>, vol. 34, no. 11. AIP Publishing, 2022.","chicago":"Wang, B., Roger Ayats López, A. Meseguer, and F. Marques. “Phase-Locking Flows between Orthogonally Stretching Parallel Plates.” <i>Physics of Fluids</i>. AIP Publishing, 2022. <a href=\"https://doi.org/10.1063/5.0124152\">https://doi.org/10.1063/5.0124152</a>.","ama":"Wang B, Ayats López R, Meseguer A, Marques F. Phase-locking flows between orthogonally stretching parallel plates. <i>Physics of Fluids</i>. 2022;34(11). doi:<a href=\"https://doi.org/10.1063/5.0124152\">10.1063/5.0124152</a>","ista":"Wang B, Ayats López R, Meseguer A, Marques F. 2022. Phase-locking flows between orthogonally stretching parallel plates. Physics of Fluids. 34(11), 114111.","mla":"Wang, B., et al. “Phase-Locking Flows between Orthogonally Stretching Parallel Plates.” <i>Physics of Fluids</i>, vol. 34, no. 11, 114111, AIP Publishing, 2022, doi:<a href=\"https://doi.org/10.1063/5.0124152\">10.1063/5.0124152</a>."},"day":"04","month":"11","date_published":"2022-11-04T00:00:00Z","date_created":"2023-01-12T12:06:58Z","article_type":"original","volume":34,"intvolume":"        34","publication":"Physics of Fluids","publisher":"AIP Publishing","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://upcommons.upc.edu/handle/2117/385635"}],"keyword":["Condensed Matter Physics","Fluid Flow and Transfer Processes","Mechanics of Materials","Computational Mechanics","Mechanical Engineering"],"issue":"11","author":[{"last_name":"Wang","first_name":"B.","full_name":"Wang, B."},{"orcid":"0000-0001-6572-0621","last_name":"Ayats López","first_name":"Roger","id":"ab77522d-073b-11ed-8aff-e71b39258362","full_name":"Ayats López, Roger"},{"first_name":"A.","last_name":"Meseguer","full_name":"Meseguer, A."},{"first_name":"F.","last_name":"Marques","full_name":"Marques, F."}],"oa":1,"status":"public","article_number":"114111","title":"Phase-locking flows between orthogonally stretching parallel plates"},{"related_material":{"link":[{"relation":"erratum","url":"https://doi.org/10.1038/s42256-022-00597-y"}]},"citation":{"ista":"Hasani R, Lechner M, Amini A, Liebenwein L, Ray A, Tschaikowski M, Teschl G, Rus D. 2022. Closed-form continuous-time neural networks. Nature Machine Intelligence. 4(11), 992–1003.","ama":"Hasani R, Lechner M, Amini A, et al. Closed-form continuous-time neural networks. <i>Nature Machine Intelligence</i>. 2022;4(11):992-1003. doi:<a href=\"https://doi.org/10.1038/s42256-022-00556-7\">10.1038/s42256-022-00556-7</a>","mla":"Hasani, Ramin, et al. “Closed-Form Continuous-Time Neural Networks.” <i>Nature Machine Intelligence</i>, vol. 4, no. 11, Springer Nature, 2022, pp. 992–1003, doi:<a href=\"https://doi.org/10.1038/s42256-022-00556-7\">10.1038/s42256-022-00556-7</a>.","chicago":"Hasani, Ramin, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, and Daniela Rus. “Closed-Form Continuous-Time Neural Networks.” <i>Nature Machine Intelligence</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s42256-022-00556-7\">https://doi.org/10.1038/s42256-022-00556-7</a>.","short":"R. Hasani, M. Lechner, A. Amini, L. Liebenwein, A. Ray, M. Tschaikowski, G. Teschl, D. Rus, Nature Machine Intelligence 4 (2022) 992–1003.","apa":"Hasani, R., Lechner, M., Amini, A., Liebenwein, L., Ray, A., Tschaikowski, M., … Rus, D. (2022). Closed-form continuous-time neural networks. <i>Nature Machine Intelligence</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s42256-022-00556-7\">https://doi.org/10.1038/s42256-022-00556-7</a>","ieee":"R. Hasani <i>et al.</i>, “Closed-form continuous-time neural networks,” <i>Nature Machine Intelligence</i>, vol. 4, no. 11. Springer Nature, pp. 992–1003, 2022."},"day":"15","file":[{"file_name":"2022_NatureMachineIntelligence_Hasani.pdf","success":1,"date_updated":"2023-01-24T09:49:44Z","checksum":"b4789122ce04bfb4ac042390f59aaa8b","date_created":"2023-01-24T09:49:44Z","file_size":3259553,"file_id":"12355","relation":"main_file","creator":"dernst","access_level":"open_access","content_type":"application/pdf"}],"date_updated":"2023-08-04T09:00:10Z","has_accepted_license":"1","article_type":"original","volume":4,"date_created":"2023-01-12T12:07:21Z","date_published":"2022-11-15T00:00:00Z","month":"11","issue":"11","keyword":["Artificial Intelligence","Computer Networks and Communications","Computer Vision and Pattern Recognition","Human-Computer Interaction","Software"],"page":"992-1003","quality_controlled":"1","publisher":"Springer Nature","publication":"Nature Machine Intelligence","intvolume":"         4","title":"Closed-form continuous-time neural networks","status":"public","oa":1,"author":[{"full_name":"Hasani, Ramin","last_name":"Hasani","first_name":"Ramin"},{"last_name":"Lechner","first_name":"Mathias","full_name":"Lechner, Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Amini, Alexander","first_name":"Alexander","last_name":"Amini"},{"full_name":"Liebenwein, Lucas","first_name":"Lucas","last_name":"Liebenwein"},{"full_name":"Ray, Aaron","first_name":"Aaron","last_name":"Ray"},{"full_name":"Tschaikowski, Max","first_name":"Max","last_name":"Tschaikowski"},{"full_name":"Teschl, Gerald","last_name":"Teschl","first_name":"Gerald"},{"full_name":"Rus, Daniela","last_name":"Rus","first_name":"Daniela"}],"year":"2022","arxiv":1,"type":"journal_article","isi":1,"scopus_import":"1","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.1038/s42256-022-00556-7","oa_version":"Published Version","language":[{"iso":"eng"}],"_id":"12147","publication_status":"published","ddc":["000"],"project":[{"call_identifier":"FWF","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425","name":"The Wittgenstein Prize"}],"external_id":{"arxiv":["2106.13898"],"isi":["000884215600003"]},"department":[{"_id":"ToHe"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","abstract":[{"text":"Continuous-time neural networks are a class of machine learning systems that can tackle representation learning on spatiotemporal decision-making tasks. These models are typically represented by continuous differential equations. However, their expressive power when they are deployed on computers is bottlenecked by numerical differential equation solvers. This limitation has notably slowed down the scaling and understanding of numerous natural physical phenomena such as the dynamics of nervous systems. Ideally, we would circumvent this bottleneck by solving the given dynamical system in closed form. This is known to be intractable in general. Here, we show that it is possible to closely approximate the interaction between neurons and synapses—the building blocks of natural and artificial neural networks—constructed by liquid time-constant networks efficiently in closed form. To this end, we compute a tightly bounded approximation of the solution of an integral appearing in liquid time-constant dynamics that has had no known closed-form solution so far. This closed-form solution impacts the design of continuous-time and continuous-depth neural models. For instance, since time appears explicitly in closed form, the formulation relaxes the need for complex numerical solvers. Consequently, we obtain models that are between one and five orders of magnitude faster in training and inference compared with differential equation-based counterparts. More importantly, in contrast to ordinary differential equation-based continuous networks, closed-form networks can scale remarkably well compared with other deep learning instances. Lastly, as these models are derived from liquid networks, they show good performance in time-series modelling compared with advanced recurrent neural network models.","lang":"eng"}],"file_date_updated":"2023-01-24T09:49:44Z","publication_identifier":{"issn":["2522-5839"]},"article_processing_charge":"No","acknowledgement":"This research was supported in part by the AI2050 program at Schmidt Futures (grant G-22-63172), the Boeing Company, and the United States Air Force Research Laboratory and the United States Air Force Artificial Intelligence Accelerator and was accomplished under cooperative agreement number FA8750-19-2-1000. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the United States Air Force or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes, notwithstanding any copyright notation herein. This work was further supported by The Boeing Company and Office of Naval Research grant N00014-18-1-2830. M.T. is supported by the Poul Due Jensen Foundation, grant 883901. M.L. was supported in part by the Austrian Science Fund under grant Z211-N23 (Wittgenstein Award). A.A. was supported by the National Science Foundation Graduate Research Fellowship Program. We thank T.-H. Wang, P. Kao, M. Chahine, W. Xiao, X. Li, L. Yin and Y. Ben for useful suggestions and for testing of CfC models to confirm the results across other domains."},{"article_processing_charge":"No","acknowledgement":"L.E. acknowledges support by ERC Advanced Grant ‘RMTBeyond’ No. 101020331. D.S. acknowledges the support of Dr. Max Rössler, the Walter Haefner Foundation and the ETH Zürich Foundation.","file_date_updated":"2023-01-24T10:02:40Z","publication_identifier":{"issn":["2050-5094"]},"ec_funded":1,"abstract":[{"text":"We prove a general local law for Wigner matrices that optimally handles observables of arbitrary rank and thus unifies the well-known averaged and isotropic local laws. As an application, we prove a central limit theorem in quantum unique ergodicity (QUE): that is, we show that the quadratic forms of a general deterministic matrix A on the bulk eigenvectors of a Wigner matrix have approximately Gaussian fluctuation. For the bulk spectrum, we thus generalise our previous result [17] as valid for test matrices A of large rank as well as the result of Benigni and Lopatto [7] as valid for specific small-rank observables.","lang":"eng"}],"department":[{"_id":"LaEr"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","project":[{"grant_number":"101020331","call_identifier":"H2020","_id":"62796744-2b32-11ec-9570-940b20777f1d","name":"Random matrices beyond Wigner-Dyson-Mehta"}],"external_id":{"isi":["000873719200001"]},"_id":"12148","language":[{"iso":"eng"}],"ddc":["510"],"publication_status":"published","oa_version":"Published Version","doi":"10.1017/fms.2022.86","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"year":"2022","type":"journal_article","isi":1,"scopus_import":"1","author":[{"last_name":"Cipolloni","orcid":"0000-0002-4901-7992","first_name":"Giorgio","id":"42198EFA-F248-11E8-B48F-1D18A9856A87","full_name":"Cipolloni, Giorgio"},{"first_name":"László","orcid":"0000-0001-5366-9603","last_name":"Erdös","full_name":"Erdös, László","id":"4DBD5372-F248-11E8-B48F-1D18A9856A87"},{"id":"408ED176-F248-11E8-B48F-1D18A9856A87","full_name":"Schröder, Dominik J","last_name":"Schröder","orcid":"0000-0002-2904-1856","first_name":"Dominik J"}],"oa":1,"status":"public","title":"Rank-uniform local law for Wigner matrices","article_number":"e96","publication":"Forum of Mathematics, Sigma","intvolume":"        10","quality_controlled":"1","keyword":["Computational Mathematics","Discrete Mathematics and Combinatorics","Geometry and Topology","Mathematical Physics","Statistics and Probability","Algebra and Number Theory","Theoretical Computer Science","Analysis"],"publisher":"Cambridge University Press","month":"10","date_created":"2023-01-12T12:07:30Z","date_published":"2022-10-27T00:00:00Z","volume":10,"article_type":"original","has_accepted_license":"1","date_updated":"2023-08-04T09:00:35Z","citation":{"mla":"Cipolloni, Giorgio, et al. “Rank-Uniform Local Law for Wigner Matrices.” <i>Forum of Mathematics, Sigma</i>, vol. 10, e96, Cambridge University Press, 2022, doi:<a href=\"https://doi.org/10.1017/fms.2022.86\">10.1017/fms.2022.86</a>.","ama":"Cipolloni G, Erdös L, Schröder DJ. Rank-uniform local law for Wigner matrices. <i>Forum of Mathematics, Sigma</i>. 2022;10. doi:<a href=\"https://doi.org/10.1017/fms.2022.86\">10.1017/fms.2022.86</a>","ista":"Cipolloni G, Erdös L, Schröder DJ. 2022. Rank-uniform local law for Wigner matrices. Forum of Mathematics, Sigma. 10, e96.","chicago":"Cipolloni, Giorgio, László Erdös, and Dominik J Schröder. “Rank-Uniform Local Law for Wigner Matrices.” <i>Forum of Mathematics, Sigma</i>. Cambridge University Press, 2022. <a href=\"https://doi.org/10.1017/fms.2022.86\">https://doi.org/10.1017/fms.2022.86</a>.","ieee":"G. Cipolloni, L. Erdös, and D. J. Schröder, “Rank-uniform local law for Wigner matrices,” <i>Forum of Mathematics, Sigma</i>, vol. 10. Cambridge University Press, 2022.","apa":"Cipolloni, G., Erdös, L., &#38; Schröder, D. J. (2022). Rank-uniform local law for Wigner matrices. <i>Forum of Mathematics, Sigma</i>. Cambridge University Press. <a href=\"https://doi.org/10.1017/fms.2022.86\">https://doi.org/10.1017/fms.2022.86</a>","short":"G. Cipolloni, L. Erdös, D.J. Schröder, Forum of Mathematics, Sigma 10 (2022)."},"day":"27","file":[{"file_id":"12356","relation":"main_file","creator":"dernst","file_size":817089,"date_created":"2023-01-24T10:02:40Z","content_type":"application/pdf","access_level":"open_access","date_updated":"2023-01-24T10:02:40Z","file_name":"2022_ForumMath_Cipolloni.pdf","success":1,"checksum":"94a049aeb1eea5497aa097712a73c400"}]},{"date_created":"2023-01-12T12:07:39Z","date_published":"2022-10-26T00:00:00Z","month":"10","has_accepted_license":"1","article_type":"letter_note","volume":16,"day":"26","citation":{"chicago":"Gambino, Giuditta, Rebecca Bhik-Ghanie, Giuseppe Giglia, M. Victoria Puig, Juan F Ramirez Villegas, and Daniel Zaldivar. “Editorial: Neuromodulatory Ascending Systems: Their Influence at the Microscopic and Macroscopic Levels.” <i>Frontiers in Neural Circuits</i>. Frontiers Media, 2022. <a href=\"https://doi.org/10.3389/fncir.2022.1028154\">https://doi.org/10.3389/fncir.2022.1028154</a>.","mla":"Gambino, Giuditta, et al. “Editorial: Neuromodulatory Ascending Systems: Their Influence at the Microscopic and Macroscopic Levels.” <i>Frontiers in Neural Circuits</i>, vol. 16, 1028154, Frontiers Media, 2022, doi:<a href=\"https://doi.org/10.3389/fncir.2022.1028154\">10.3389/fncir.2022.1028154</a>.","ama":"Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar D. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. <i>Frontiers in Neural Circuits</i>. 2022;16. doi:<a href=\"https://doi.org/10.3389/fncir.2022.1028154\">10.3389/fncir.2022.1028154</a>","ista":"Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar D. 2022. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. Frontiers in Neural Circuits. 16, 1028154.","ieee":"G. Gambino, R. Bhik-Ghanie, G. Giglia, M. V. Puig, J. F. Ramirez Villegas, and D. Zaldivar, “Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels,” <i>Frontiers in Neural Circuits</i>, vol. 16. Frontiers Media, 2022.","apa":"Gambino, G., Bhik-Ghanie, R., Giglia, G., Puig, M. V., Ramirez Villegas, J. F., &#38; Zaldivar, D. (2022). Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. <i>Frontiers in Neural Circuits</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/fncir.2022.1028154\">https://doi.org/10.3389/fncir.2022.1028154</a>","short":"G. Gambino, R. Bhik-Ghanie, G. Giglia, M.V. Puig, J.F. Ramirez Villegas, D. Zaldivar, Frontiers in Neural Circuits 16 (2022)."},"file":[{"file_size":110031,"file_id":"12357","creator":"dernst","relation":"main_file","date_created":"2023-01-24T10:10:43Z","content_type":"application/pdf","access_level":"open_access","date_updated":"2023-01-24T10:10:43Z","success":1,"file_name":"2022_FrontiersNeuralCircuits_Gambino.pdf","checksum":"457aa00e1800847abb340853058531de"}],"date_updated":"2023-08-04T09:01:06Z","oa":1,"author":[{"last_name":"Gambino","first_name":"Giuditta","full_name":"Gambino, Giuditta"},{"full_name":"Bhik-Ghanie, Rebecca","last_name":"Bhik-Ghanie","first_name":"Rebecca"},{"full_name":"Giglia, Giuseppe","last_name":"Giglia","first_name":"Giuseppe"},{"full_name":"Puig, M. Victoria","first_name":"M. Victoria","last_name":"Puig"},{"first_name":"Juan F","last_name":"Ramirez Villegas","full_name":"Ramirez Villegas, Juan F","id":"44B06F76-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Zaldivar, Daniel","last_name":"Zaldivar","first_name":"Daniel"}],"title":"Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels","article_number":"1028154","status":"public","keyword":["Cellular and Molecular Neuroscience","Cognitive Neuroscience","Sensory Systems","Neuroscience (miscellaneous)"],"quality_controlled":"1","publisher":"Frontiers Media","publication":"Frontiers in Neural Circuits","intvolume":"        16","oa_version":"Published Version","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.3389/fncir.2022.1028154","isi":1,"type":"journal_article","year":"2022","scopus_import":"1","file_date_updated":"2023-01-24T10:10:43Z","publication_identifier":{"issn":["1662-5110"]},"article_processing_charge":"No","acknowledgement":"This work was supported by a DFG grant ZA990/1 to DZ. This work was supported by the MSCA EU proposal 841301 - DREAM, European Commission; Horizon 2020 - Research and Innovation Framework Programme to JFRV.","abstract":[{"text":"Editorial on the Research Topic","lang":"eng"}],"ec_funded":1,"project":[{"call_identifier":"H2020","grant_number":"841301","_id":"26BAE2E4-B435-11E9-9278-68D0E5697425","name":"The Brainstem-Hippocampus Network Uncovered: Dynamics, Reactivation and Memory Consolidation"}],"external_id":{"isi":["000886671400001"]},"department":[{"_id":"JoCs"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","language":[{"iso":"eng"}],"_id":"12149","publication_status":"published","ddc":["570"]},{"project":[{"name":"Analytic and machine learning approaches to composite quantum impurities","_id":"05A235A0-7A3F-11EA-A408-12923DDC885E","grant_number":"25681"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"},{"_id":"2688CF98-B435-11E9-9278-68D0E5697425","grant_number":"801770","call_identifier":"H2020","name":"Angulon: physics and applications of a new quasiparticle"}],"external_id":{"isi":["000875189100005"],"arxiv":["2105.15193"]},"department":[{"_id":"MiLe"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","language":[{"iso":"eng"}],"_id":"12150","publication_status":"published","publication_identifier":{"issn":["2469-9950"],"eissn":["2469-9969"]},"acknowledgement":"We acknowledge fruitful discussions with G. Bighin, G. Fabiani, A. Ghazaryan, C. Lampert, and A. Volosniev at various stages of this work. W.R. acknowledges support through a DOC Fellowship of the Austrian Academy of Sciences and has received funding from the EU Horizon 2020 programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. M.L. and J.H.M. acknowledge support by the European Research Council (ERC) Starting Grant No. 801770 (ANGULON) and Synergy Grant No. 856538 (3D-MAGiC), respectively. This work is part of the Shell-NWO/FOMinitiative “Computational sciences for energy research” of Shell and Chemical Sciences, Earth and Life Sciences, Physical Sciences, FOM and STW. ","article_processing_charge":"No","abstract":[{"lang":"eng","text":"Methods inspired from machine learning have recently attracted great interest in the computational study of quantum many-particle systems. So far, however, it has proven challenging to deal with microscopic models in which the total number of particles is not conserved. To address this issue, we propose a variant of neural network states, which we term neural coherent states. Taking the Fröhlich impurity model as a case study, we show that neural coherent states can learn the ground state of nonadditive systems very well. In particular, we recover exact diagonalization in all regimes tested and observe substantial improvement over the standard coherent state estimates in the most challenging intermediate-coupling regime. Our approach is generic and does not assume specific details of the system, suggesting wide applications."}],"ec_funded":1,"arxiv":1,"year":"2022","isi":1,"type":"journal_article","scopus_import":"1","oa_version":"Preprint","doi":"10.1103/physrevb.106.155127","quality_controlled":"1","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2105.15193"}],"publisher":"American Physical Society","publication":"Physical Review B","intvolume":"       106","issue":"15","oa":1,"author":[{"last_name":"Rzadkowski","orcid":"0000-0002-1106-4419","first_name":"Wojciech","id":"48C55298-F248-11E8-B48F-1D18A9856A87","full_name":"Rzadkowski, Wojciech"},{"last_name":"Lemeshko","orcid":"0000-0002-6990-7802","first_name":"Mikhail","id":"37CB05FA-F248-11E8-B48F-1D18A9856A87","full_name":"Lemeshko, Mikhail"},{"full_name":"Mentink, Johan H.","first_name":"Johan H.","last_name":"Mentink"}],"title":"Artificial neural network states for nonadditive systems","article_number":"155127","status":"public","citation":{"chicago":"Rzadkowski, Wojciech, Mikhail Lemeshko, and Johan H. Mentink. “Artificial Neural Network States for Nonadditive Systems.” <i>Physical Review B</i>. American Physical Society, 2022. <a href=\"https://doi.org/10.1103/physrevb.106.155127\">https://doi.org/10.1103/physrevb.106.155127</a>.","mla":"Rzadkowski, Wojciech, et al. “Artificial Neural Network States for Nonadditive Systems.” <i>Physical Review B</i>, vol. 106, no. 15, 155127, American Physical Society, 2022, doi:<a href=\"https://doi.org/10.1103/physrevb.106.155127\">10.1103/physrevb.106.155127</a>.","ama":"Rzadkowski W, Lemeshko M, Mentink JH. Artificial neural network states for nonadditive systems. <i>Physical Review B</i>. 2022;106(15). doi:<a href=\"https://doi.org/10.1103/physrevb.106.155127\">10.1103/physrevb.106.155127</a>","ista":"Rzadkowski W, Lemeshko M, Mentink JH. 2022. Artificial neural network states for nonadditive systems. Physical Review B. 106(15), 155127.","ieee":"W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for nonadditive systems,” <i>Physical Review B</i>, vol. 106, no. 15. American Physical Society, 2022.","short":"W. Rzadkowski, M. Lemeshko, J.H. Mentink, Physical Review B 106 (2022).","apa":"Rzadkowski, W., Lemeshko, M., &#38; Mentink, J. H. (2022). Artificial neural network states for nonadditive systems. <i>Physical Review B</i>. American Physical Society. <a href=\"https://doi.org/10.1103/physrevb.106.155127\">https://doi.org/10.1103/physrevb.106.155127</a>"},"day":"15","date_updated":"2023-08-04T09:01:48Z","date_created":"2023-01-12T12:07:49Z","date_published":"2022-10-15T00:00:00Z","month":"10","article_type":"original","volume":106},{"date_published":"2022-11-23T00:00:00Z","date_created":"2023-01-12T12:07:59Z","month":"11","article_type":"original","volume":168,"day":"23","citation":{"ieee":"O. Cooley, M. Kang, and O. Pikhurko, “On a question of Vera T. Sós about size forcing of graphons,” <i>Acta Mathematica Hungarica</i>, vol. 168. Springer Nature, pp. 1–26, 2022.","short":"O. Cooley, M. Kang, O. Pikhurko, Acta Mathematica Hungarica 168 (2022) 1–26.","apa":"Cooley, O., Kang, M., &#38; Pikhurko, O. (2022). On a question of Vera T. Sós about size forcing of graphons. <i>Acta Mathematica Hungarica</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10474-022-01265-8\">https://doi.org/10.1007/s10474-022-01265-8</a>","mla":"Cooley, Oliver, et al. “On a Question of Vera T. Sós about Size Forcing of Graphons.” <i>Acta Mathematica Hungarica</i>, vol. 168, Springer Nature, 2022, pp. 1–26, doi:<a href=\"https://doi.org/10.1007/s10474-022-01265-8\">10.1007/s10474-022-01265-8</a>.","ista":"Cooley O, Kang M, Pikhurko O. 2022. On a question of Vera T. Sós about size forcing of graphons. Acta Mathematica Hungarica. 168, 1–26.","ama":"Cooley O, Kang M, Pikhurko O. On a question of Vera T. Sós about size forcing of graphons. <i>Acta Mathematica Hungarica</i>. 2022;168:1-26. doi:<a href=\"https://doi.org/10.1007/s10474-022-01265-8\">10.1007/s10474-022-01265-8</a>","chicago":"Cooley, Oliver, M. Kang, and O. Pikhurko. “On a Question of Vera T. Sós about Size Forcing of Graphons.” <i>Acta Mathematica Hungarica</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1007/s10474-022-01265-8\">https://doi.org/10.1007/s10474-022-01265-8</a>."},"date_updated":"2023-08-04T09:02:37Z","oa":1,"author":[{"id":"43f4ddd0-a46b-11ec-8df6-ef3703bd721d","full_name":"Cooley, Oliver","last_name":"Cooley","first_name":"Oliver"},{"full_name":"Kang, M.","first_name":"M.","last_name":"Kang"},{"full_name":"Pikhurko, O.","last_name":"Pikhurko","first_name":"O."}],"title":"On a question of Vera T. Sós about size forcing of graphons","status":"public","publisher":"Springer Nature","main_file_link":[{"url":" https://doi.org/10.48550/arXiv.2103.09114","open_access":"1"}],"page":"1-26","quality_controlled":"1","keyword":["graphon","k-sample","graphon forcing","graph container"],"intvolume":"       168","publication":"Acta Mathematica Hungarica","oa_version":"Preprint","doi":"10.1007/s10474-022-01265-8","scopus_import":"1","arxiv":1,"type":"journal_article","year":"2022","isi":1,"publication_identifier":{"eissn":["1588-2632"],"issn":["0236-5294"]},"article_processing_charge":"No","acknowledgement":"Supported by Austrian Science Fund (FWF) Grant I3747. Supported by ERC Advanced Grant 101020255 and Leverhulme Research Project Grant RPG-2018-424.\r\nAn extended abstract of this paper appeared in the Proceedings of the European Conference\r\non Combinatorics, Graph Theory and Applications (EuroComb 2021), CRM Research Perspectives, Springer.","abstract":[{"text":"The k-sample G(k,W) from a graphon W:[0,1]2→[0,1] is the random graph on {1,…,k}, where we sample x1,…,xk∈[0,1] uniformly at random and make each pair {i,j}⊆{1,…,k} an edge with probability W(xi,xj), with all these choices being mutually independent. Let the random variable Xk(W) be the number of edges in  G(k,W). Vera T. Sós asked in 2012 whether two graphons U, W are necessarily weakly isomorphic if the random variables Xk(U) and Xk(W) have the same distribution for every integer k≥2. This question when one of the graphons W is a constant function was answered positively by Endre Csóka and independently by Jacob Fox, Tomasz Łuczak and Vera T. Sós. Here we investigate the question when W is a 2-step graphon and prove that the answer is positive for a 3-dimensional family of such graphons. We also present some related results.","lang":"eng"}],"external_id":{"arxiv":["2103.09114"],"isi":["000886839900006"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"MaKw"}],"publication_status":"published","language":[{"iso":"eng"}],"_id":"12151"},{"abstract":[{"lang":"eng","text":"ESCRT-III filaments are composite cytoskeletal polymers that can constrict and cut cell membranes from the inside of the membrane neck. Membrane-bound ESCRT-III filaments undergo a series of dramatic composition and geometry changes in the presence of an ATP-consuming Vps4 enzyme, which causes stepwise changes in the membrane morphology. We set out to understand the physical mechanisms involved in translating the changes in ESCRT-III polymer composition into membrane deformation. We have built a coarse-grained model in which ESCRT-III polymers of different geometries and mechanical properties are allowed to copolymerise and bind to a deformable membrane. By modelling ATP-driven stepwise depolymerisation of specific polymers, we identify mechanical regimes in which changes in filament composition trigger the associated membrane transition from a flat to a buckled state, and then to a tubule state that eventually undergoes scission to release a small cargo-loaded vesicle. We then characterise how the location and kinetics of polymer loss affects the extent of membrane deformation and the efficiency of membrane neck scission. Our results identify the near-minimal mechanical conditions for the operation of shape-shifting composite polymers that sever membrane necks."}],"ec_funded":1,"file_date_updated":"2023-01-24T10:45:01Z","publication_identifier":{"issn":["1553-7358"]},"acknowledgement":"A.S . received an award from European Research Council (https://erc.europa.eu, “NEPA\"\r\n802960), and an award from the Royal Society (https://royalsociety.org, UF160266). L. H.-K.\r\nreceived an award from the Biotechnology and Biological Sciences Research Council (https://\r\nwww.ukri.org/councils/bbsrc/). E. L. received an award from the University College London (https://www.ucl.ac.uk/biophysics/news/2022/feb/applications-biop-brian-duff-and-ipls-summerundergraduate-studentships-now-open, Brian Duff Undergraduate Summer Research Studentship). B.B. and A.S. received an award from Volkswagen Foundation https://www.volkswagenstiftung.de/en/foundation, Az 96727), and an award from Medical Research Council (https://www.ukri.org/councils/mrc, MC_CF1226). A. R. received an\r\naward from the Swiss National Fund for Research (https://www.snf.ch/en, 31003A_130520,\r\n31003A_149975, and 31003A_173087) and an award from the European Research Council\r\nConsolidator (https://erc.europa.eu, 311536). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","article_processing_charge":"No","_id":"12152","language":[{"iso":"eng"}],"ddc":["570"],"publication_status":"published","project":[{"_id":"eba2549b-77a9-11ec-83b8-a81e493eae4e","grant_number":"802960","call_identifier":"H2020","name":"Non-Equilibrium Protein Assembly: from Building Blocks to Biological Machines"},{"grant_number":"96752","_id":"eba0f67c-77a9-11ec-83b8-cc8501b3e222","name":"The evolution of trafficking: from archaea to eukaryotes"}],"external_id":{"isi":["000924885500005"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"AnSa"}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.1371/journal.pcbi.1010586","oa_version":"Published Version","isi":1,"year":"2022","type":"journal_article","scopus_import":"1","title":"Modelling membrane reshaping by staged polymerization of ESCRT-III filaments","article_number":"e1010586","status":"public","oa":1,"author":[{"last_name":"Jiang","first_name":"Xiuyun","full_name":"Jiang, Xiuyun"},{"last_name":"Harker-Kirschneck","first_name":"Lena","full_name":"Harker-Kirschneck, Lena"},{"id":"3adeca52-9313-11ed-b1ac-c170b2505714","full_name":"Vanhille-Campos, Christian Eduardo","first_name":"Christian Eduardo","last_name":"Vanhille-Campos"},{"first_name":"Anna-Katharina","last_name":"Pfitzner","full_name":"Pfitzner, Anna-Katharina"},{"last_name":"Lominadze","first_name":"Elene","full_name":"Lominadze, Elene"},{"last_name":"Roux","first_name":"Aurélien","full_name":"Roux, Aurélien"},{"last_name":"Baum","first_name":"Buzz","full_name":"Baum, Buzz"},{"orcid":"0000-0002-7854-2139","last_name":"Šarić","first_name":"Anđela","id":"bf63d406-f056-11eb-b41d-f263a6566d8b","full_name":"Šarić, Anđela"}],"issue":"10","quality_controlled":"1","keyword":["Computational Theory and Mathematics","Cellular and Molecular Neuroscience","Genetics","Molecular Biology","Ecology","Modeling and Simulation","Ecology","Evolution","Behavior and Systematics"],"publisher":"Public Library of Science","publication":"PLOS Computational Biology","intvolume":"        18","has_accepted_license":"1","volume":18,"article_type":"original","date_created":"2023-01-12T12:08:10Z","date_published":"2022-10-17T00:00:00Z","month":"10","related_material":{"link":[{"relation":"software","url":"https://github.com/sharonJXY/3-filament-model"}]},"citation":{"ieee":"X. Jiang <i>et al.</i>, “Modelling membrane reshaping by staged polymerization of ESCRT-III filaments,” <i>PLOS Computational Biology</i>, vol. 18, no. 10. Public Library of Science, 2022.","short":"X. Jiang, L. Harker-Kirschneck, C.E. Vanhille-Campos, A.-K. Pfitzner, E. Lominadze, A. Roux, B. Baum, A. Šarić, PLOS Computational Biology 18 (2022).","apa":"Jiang, X., Harker-Kirschneck, L., Vanhille-Campos, C. E., Pfitzner, A.-K., Lominadze, E., Roux, A., … Šarić, A. (2022). Modelling membrane reshaping by staged polymerization of ESCRT-III filaments. <i>PLOS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1010586\">https://doi.org/10.1371/journal.pcbi.1010586</a>","mla":"Jiang, Xiuyun, et al. “Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments.” <i>PLOS Computational Biology</i>, vol. 18, no. 10, e1010586, Public Library of Science, 2022, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010586\">10.1371/journal.pcbi.1010586</a>.","ista":"Jiang X, Harker-Kirschneck L, Vanhille-Campos CE, Pfitzner A-K, Lominadze E, Roux A, Baum B, Šarić A. 2022. Modelling membrane reshaping by staged polymerization of ESCRT-III filaments. PLOS Computational Biology. 18(10), e1010586.","ama":"Jiang X, Harker-Kirschneck L, Vanhille-Campos CE, et al. Modelling membrane reshaping by staged polymerization of ESCRT-III filaments. <i>PLOS Computational Biology</i>. 2022;18(10). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010586\">10.1371/journal.pcbi.1010586</a>","chicago":"Jiang, Xiuyun, Lena Harker-Kirschneck, Christian Eduardo Vanhille-Campos, Anna-Katharina Pfitzner, Elene Lominadze, Aurélien Roux, Buzz Baum, and Anđela Šarić. “Modelling Membrane Reshaping by Staged Polymerization of ESCRT-III Filaments.” <i>PLOS Computational Biology</i>. Public Library of Science, 2022. <a href=\"https://doi.org/10.1371/journal.pcbi.1010586\">https://doi.org/10.1371/journal.pcbi.1010586</a>."},"day":"17","file":[{"date_created":"2023-01-24T10:45:01Z","file_size":2641067,"file_id":"12359","creator":"dernst","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_name":"2022_PLoSCompBio_Jiang.pdf","success":1,"date_updated":"2023-01-24T10:45:01Z","checksum":"bada6a7865e470cf42bbdfa67dd471d2"}],"date_updated":"2023-08-04T09:03:21Z"},{"date_updated":"2023-08-09T10:13:17Z","citation":{"apa":"Salasnich, L., Cappellaro, A., Furutani, K., Tononi, A., &#38; Bighin, G. (2022). First and second sound in two-dimensional bosonic and fermionic superfluids. <i>Symmetry</i>. MDPI. <a href=\"https://doi.org/10.3390/sym14102182\">https://doi.org/10.3390/sym14102182</a>","short":"L. Salasnich, A. Cappellaro, K. Furutani, A. Tononi, G. Bighin, Symmetry 14 (2022).","ieee":"L. Salasnich, A. Cappellaro, K. Furutani, A. Tononi, and G. Bighin, “First and second sound in two-dimensional bosonic and fermionic superfluids,” <i>Symmetry</i>, vol. 14, no. 10. MDPI, 2022.","ama":"Salasnich L, Cappellaro A, Furutani K, Tononi A, Bighin G. First and second sound in two-dimensional bosonic and fermionic superfluids. <i>Symmetry</i>. 2022;14(10). doi:<a href=\"https://doi.org/10.3390/sym14102182\">10.3390/sym14102182</a>","ista":"Salasnich L, Cappellaro A, Furutani K, Tononi A, Bighin G. 2022. First and second sound in two-dimensional bosonic and fermionic superfluids. Symmetry. 14(10), 2182.","mla":"Salasnich, Luca, et al. “First and Second Sound in Two-Dimensional Bosonic and Fermionic Superfluids.” <i>Symmetry</i>, vol. 14, no. 10, 2182, MDPI, 2022, doi:<a href=\"https://doi.org/10.3390/sym14102182\">10.3390/sym14102182</a>.","chicago":"Salasnich, Luca, Alberto Cappellaro, Koichiro Furutani, Andrea Tononi, and Giacomo Bighin. “First and Second Sound in Two-Dimensional Bosonic and Fermionic Superfluids.” <i>Symmetry</i>. MDPI, 2022. <a href=\"https://doi.org/10.3390/sym14102182\">https://doi.org/10.3390/sym14102182</a>."},"day":"17","file":[{"checksum":"9b6bd0e484834dd76d7b26e3c5fba8bd","file_name":"2022_Symmetry_Salsnich.pdf","success":1,"date_updated":"2023-01-24T10:56:12Z","access_level":"open_access","content_type":"application/pdf","date_created":"2023-01-24T10:56:12Z","file_size":843723,"creator":"dernst","relation":"main_file","file_id":"12361"}],"article_type":"original","volume":14,"has_accepted_license":"1","month":"10","date_published":"2022-10-17T00:00:00Z","date_created":"2023-01-12T12:08:31Z","issue":"10","publication":"Symmetry","intvolume":"        14","keyword":["Physics and Astronomy (miscellaneous)","General Mathematics","Chemistry (miscellaneous)","Computer Science (miscellaneous)"],"quality_controlled":"1","publisher":"MDPI","status":"public","title":"First and second sound in two-dimensional bosonic and fermionic superfluids","article_number":"2182","author":[{"first_name":"Luca","last_name":"Salasnich","full_name":"Salasnich, Luca"},{"first_name":"Alberto","last_name":"Cappellaro","orcid":"0000-0001-6110-2359","full_name":"Cappellaro, Alberto","id":"9d13b3cb-30a2-11eb-80dc-f772505e8660"},{"full_name":"Furutani, Koichiro","last_name":"Furutani","first_name":"Koichiro"},{"first_name":"Andrea","last_name":"Tononi","full_name":"Tononi, Andrea"},{"last_name":"Bighin","orcid":"0000-0001-8823-9777","first_name":"Giacomo","full_name":"Bighin, Giacomo","id":"4CA96FD4-F248-11E8-B48F-1D18A9856A87"}],"oa":1,"type":"journal_article","year":"2022","isi":1,"scopus_import":"1","doi":"10.3390/sym14102182","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"oa_version":"Published Version","language":[{"iso":"eng"}],"_id":"12154","publication_status":"published","ddc":["530"],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"MiLe"}],"external_id":{"isi":["000875039200001"]},"abstract":[{"text":"We review our theoretical results of the sound propagation in two-dimensional (2D) systems of ultracold fermionic and bosonic atoms. In the superfluid phase, characterized by the spontaneous symmetry breaking of the U(1) symmetry, there is the coexistence of first and second sound. In the case of weakly-interacting repulsive bosons, we model the recent measurements of the sound velocities of 39K atoms in 2D obtained in the weakly-interacting regime and around the Berezinskii–Kosterlitz–Thouless (BKT) superfluid-to-normal transition temperature. In particular, we perform a quite accurate computation of the superfluid density and show that it is reasonably consistent with the experimental results. For superfluid attractive fermions, we calculate the first and second sound velocities across the whole BCS-BEC crossover. In the low-temperature regime, we reproduce the recent measurements of first-sound speed with 6Li atoms. We also predict that there is mixing between sound modes only in the finite-temperature BEC regime.","lang":"eng"}],"acknowledgement":"This research is partially supported by University of Padova, BIRD grant “Ultracold atoms\r\nin curved geometries”. KF is supported by Fondazione CARIPARO with a PhD fellowship. AT is\r\npartially supported by French National Research Agency ANR Grant Droplets N. ANR-19-CE30-0003-02. LS thanks Herwig Ott and Sandro Wimberger for their kind invitation to the\r\nInternational Workshop “Quantum Transport with ultracold atoms” (2022).","article_processing_charge":"Yes","file_date_updated":"2023-01-24T10:56:12Z","publication_identifier":{"issn":["2073-8994"]}},{"doi":"10.1039/d2ee02408j","oa_version":"None","isi":1,"type":"journal_article","year":"2022","scopus_import":"1","abstract":[{"lang":"eng","text":"The growing demand of thermal management in various fields such as miniaturized 5G chips has motivated researchers to develop new and high-performance solid-state refrigeration technologies, typically including multicaloric and thermoelectric (TE) cooling. Among them, TE cooling has attracted huge attention owing to its advantages of rapid response, large cooling temperature difference, high stability, and tunable device size. Bi2Te3-based alloys have long been the only commercialized TE cooling materials, while novel systems SnSe and Mg3(Bi,Sb)2 have recently been discovered as potential candidates. However, challenges and problems still require to be summarized and further resolved for realizing better cooling performance. In this review, we systematically investigate TE cooling from its internal mechanism, crucial parameters, to device design and applications. Furthermore, we summarize the current optimization strategies for existing TE cooling materials, and finally provide some personal prospects especially the material-planification concept on future research on establishing better TE cooling."}],"article_processing_charge":"No","acknowledgement":"We acknowledge support from the National Key Research and Development Program of China (2018YFA0702100), the National Natural Science Foundation of China (51571007, 51772012, 52002011 and 52002042), the Basic Science Center Project of National Natural Science Foundation of China (51788104), Beijing Natural Science Foundation (JQ18004), 111 Project (B17002), and the National Science Fund for Distinguished Young Scholars (51925101).","publication_identifier":{"issn":["1754-5692"],"eissn":["1754-5706"]},"_id":"12155","language":[{"iso":"eng"}],"publication_status":"published","department":[{"_id":"MaIb"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"isi":["000863642400001"]},"volume":15,"article_type":"original","month":"11","date_created":"2023-01-12T12:08:41Z","date_published":"2022-11-01T00:00:00Z","related_material":{"link":[{"url":"https://doi.org/10.1039/d3ee90067c","relation":"erratum"}]},"date_updated":"2024-01-22T08:13:43Z","citation":{"apa":"Qin, Y., Qin, B., Wang, D., Chang, C., &#38; Zhao, L.-D. (2022). Solid-state cooling: Thermoelectrics. <i>Energy &#38; Environmental Science</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d2ee02408j\">https://doi.org/10.1039/d2ee02408j</a>","short":"Y. Qin, B. Qin, D. Wang, C. Chang, L.-D. Zhao, Energy &#38; Environmental Science 15 (2022) 4527–4541.","ieee":"Y. Qin, B. Qin, D. Wang, C. Chang, and L.-D. Zhao, “Solid-state cooling: Thermoelectrics,” <i>Energy &#38; Environmental Science</i>, vol. 15, no. 11. Royal Society of Chemistry, pp. 4527–4541, 2022.","chicago":"Qin, Yongxin, Bingchao Qin, Dongyang Wang, Cheng Chang, and Li-Dong Zhao. “Solid-State Cooling: Thermoelectrics.” <i>Energy &#38; Environmental Science</i>. Royal Society of Chemistry, 2022. <a href=\"https://doi.org/10.1039/d2ee02408j\">https://doi.org/10.1039/d2ee02408j</a>.","ama":"Qin Y, Qin B, Wang D, Chang C, Zhao L-D. Solid-state cooling: Thermoelectrics. <i>Energy &#38; Environmental Science</i>. 2022;15(11):4527-4541. doi:<a href=\"https://doi.org/10.1039/d2ee02408j\">10.1039/d2ee02408j</a>","ista":"Qin Y, Qin B, Wang D, Chang C, Zhao L-D. 2022. Solid-state cooling: Thermoelectrics. Energy &#38; Environmental Science. 15(11), 4527–4541.","mla":"Qin, Yongxin, et al. “Solid-State Cooling: Thermoelectrics.” <i>Energy &#38; Environmental Science</i>, vol. 15, no. 11, Royal Society of Chemistry, 2022, pp. 4527–41, doi:<a href=\"https://doi.org/10.1039/d2ee02408j\">10.1039/d2ee02408j</a>."},"day":"01","status":"public","title":"Solid-state cooling: Thermoelectrics","author":[{"full_name":"Qin, Yongxin","last_name":"Qin","first_name":"Yongxin"},{"first_name":"Bingchao","last_name":"Qin","full_name":"Qin, Bingchao"},{"full_name":"Wang, Dongyang","last_name":"Wang","first_name":"Dongyang"},{"first_name":"Cheng","last_name":"Chang","orcid":"0000-0002-9515-4277","id":"9E331C2E-9F27-11E9-AE48-5033E6697425","full_name":"Chang, Cheng"},{"full_name":"Zhao, Li-Dong","first_name":"Li-Dong","last_name":"Zhao"}],"issue":"11","publication":"Energy & Environmental Science","intvolume":"        15","quality_controlled":"1","page":"4527-4541","keyword":["Pollution","Nuclear Energy and Engineering","Renewable Energy","Sustainability and the Environment","Environmental Chemistry"],"publisher":"Royal Society of Chemistry"},{"oa":1,"author":[{"full_name":"Zoller, Benjamin","last_name":"Zoller","first_name":"Benjamin"},{"last_name":"Gregor","first_name":"Thomas","full_name":"Gregor, Thomas"},{"last_name":"Tkačik","orcid":"1","first_name":"Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","full_name":"Tkačik, Gašper"}],"article_number":"100435","title":"Eukaryotic gene regulation at equilibrium, or non?","status":"public","publisher":"Elsevier","quality_controlled":"1","keyword":["Applied Mathematics","Computer Science Applications","Drug Discovery","General Biochemistry","Genetics and Molecular Biology","Modeling and Simulation"],"intvolume":"        31","publication":"Current Opinion in Systems Biology","issue":"9","date_published":"2022-09-01T00:00:00Z","date_created":"2023-01-12T12:08:51Z","month":"09","has_accepted_license":"1","article_type":"original","volume":31,"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","file_id":"12362","creator":"dernst","file_size":2214944,"date_created":"2023-01-24T12:14:10Z","checksum":"97ef01e0cc60cdc84f45640a0f248fb0","date_updated":"2023-01-24T12:14:10Z","file_name":"2022_CurrentBiology_Zoller.pdf","success":1}],"day":"01","citation":{"ieee":"B. Zoller, T. Gregor, and G. Tkačik, “Eukaryotic gene regulation at equilibrium, or non?,” <i>Current Opinion in Systems Biology</i>, vol. 31, no. 9. Elsevier, 2022.","apa":"Zoller, B., Gregor, T., &#38; Tkačik, G. (2022). Eukaryotic gene regulation at equilibrium, or non? <i>Current Opinion in Systems Biology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.coisb.2022.100435\">https://doi.org/10.1016/j.coisb.2022.100435</a>","short":"B. Zoller, T. Gregor, G. Tkačik, Current Opinion in Systems Biology 31 (2022).","mla":"Zoller, Benjamin, et al. “Eukaryotic Gene Regulation at Equilibrium, or Non?” <i>Current Opinion in Systems Biology</i>, vol. 31, no. 9, 100435, Elsevier, 2022, doi:<a href=\"https://doi.org/10.1016/j.coisb.2022.100435\">10.1016/j.coisb.2022.100435</a>.","ista":"Zoller B, Gregor T, Tkačik G. 2022. Eukaryotic gene regulation at equilibrium, or non? Current Opinion in Systems Biology. 31(9), 100435.","ama":"Zoller B, Gregor T, Tkačik G. Eukaryotic gene regulation at equilibrium, or non? <i>Current Opinion in Systems Biology</i>. 2022;31(9). doi:<a href=\"https://doi.org/10.1016/j.coisb.2022.100435\">10.1016/j.coisb.2022.100435</a>","chicago":"Zoller, Benjamin, Thomas Gregor, and Gašper Tkačik. “Eukaryotic Gene Regulation at Equilibrium, or Non?” <i>Current Opinion in Systems Biology</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.coisb.2022.100435\">https://doi.org/10.1016/j.coisb.2022.100435</a>."},"date_updated":"2023-02-13T09:20:34Z","publication_identifier":{"issn":["2452-3100"]},"file_date_updated":"2023-01-24T12:14:10Z","acknowledgement":"This work was supported through the Center for the Physics of Biological Function (PHYe1734030) and by National Institutes of Health Grants R01GM097275 and U01DK127429 (TG). GT acknowledges the support of the Austrian Science Fund grant FWF P28844 and the Human Frontiers Science Program. ","article_processing_charge":"Yes (via OA deal)","abstract":[{"text":"Models of transcriptional regulation that assume equilibrium binding of transcription factors have been less successful at predicting gene expression from sequence in eukaryotes than in bacteria. This could be due to the non-equilibrium nature of eukaryotic regulation. Unfortunately, the space of possible non-equilibrium mechanisms is vast and predominantly uninteresting. The key question is therefore how this space can be navigated efficiently, to focus on mechanisms and models that are biologically relevant. In this review, we advocate for the normative role of theory—theory that prescribes rather than just describes—in providing such a focus. Theory should expand its remit beyond inferring mechanistic models from data, towards identifying non-equilibrium gene regulatory schemes that may have been evolutionarily selected, despite their energy consumption, because they are precise, reliable, fast, or otherwise outperform regulation at equilibrium. We illustrate our reasoning by toy examples for which we provide simulation code.","lang":"eng"}],"project":[{"name":"Biophysics of information processing in gene regulation","_id":"254E9036-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P28844-B27"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"GaTk"}],"publication_status":"published","ddc":["570"],"language":[{"iso":"eng"}],"_id":"12156","oa_version":"Published Version","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.1016/j.coisb.2022.100435","scopus_import":"1","year":"2022","type":"journal_article"},{"status":"public","title":"Polygenic adaptation after a sudden change in environment","article_number":"66697","author":[{"first_name":"Laura","last_name":"Hayward","id":"fc885ee5-24bf-11eb-ad7b-bcc5104c0c1b","full_name":"Hayward, Laura"},{"first_name":"Guy","last_name":"Sella","full_name":"Sella, Guy"}],"oa":1,"publication":"eLife","intvolume":"        11","keyword":["General Immunology and Microbiology","General Biochemistry","Genetics and Molecular Biology","General Medicine","General Neuroscience"],"quality_controlled":"1","publisher":"eLife Sciences Publications","article_type":"original","volume":11,"has_accepted_license":"1","month":"09","date_created":"2023-01-12T12:09:00Z","date_published":"2022-09-26T00:00:00Z","date_updated":"2023-08-04T09:04:58Z","citation":{"short":"L. Hayward, G. Sella, ELife 11 (2022).","apa":"Hayward, L., &#38; Sella, G. (2022). Polygenic adaptation after a sudden change in environment. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/elife.66697\">https://doi.org/10.7554/elife.66697</a>","ieee":"L. Hayward and G. Sella, “Polygenic adaptation after a sudden change in environment,” <i>eLife</i>, vol. 11. eLife Sciences Publications, 2022.","ama":"Hayward L, Sella G. Polygenic adaptation after a sudden change in environment. <i>eLife</i>. 2022;11. doi:<a href=\"https://doi.org/10.7554/elife.66697\">10.7554/elife.66697</a>","ista":"Hayward L, Sella G. 2022. Polygenic adaptation after a sudden change in environment. eLife. 11, 66697.","mla":"Hayward, Laura, and Guy Sella. “Polygenic Adaptation after a Sudden Change in Environment.” <i>ELife</i>, vol. 11, 66697, eLife Sciences Publications, 2022, doi:<a href=\"https://doi.org/10.7554/elife.66697\">10.7554/elife.66697</a>.","chicago":"Hayward, Laura, and Guy Sella. “Polygenic Adaptation after a Sudden Change in Environment.” <i>ELife</i>. eLife Sciences Publications, 2022. <a href=\"https://doi.org/10.7554/elife.66697\">https://doi.org/10.7554/elife.66697</a>."},"day":"26","file":[{"file_size":18935612,"file_id":"12363","creator":"dernst","relation":"main_file","date_created":"2023-01-24T12:21:32Z","content_type":"application/pdf","access_level":"open_access","date_updated":"2023-01-24T12:21:32Z","success":1,"file_name":"2022_eLife_Hayward.pdf","checksum":"28de155b231ac1c8d4501c98b2fb359a"}],"abstract":[{"text":"Polygenic adaptation is thought to be ubiquitous, yet remains poorly understood. Here, we model this process analytically, in the plausible setting of a highly polygenic, quantitative trait that experiences a sudden shift in the fitness optimum. We show how the mean phenotype changes over time, depending on the effect sizes of loci that contribute to variance in the trait, and characterize the allele dynamics at these loci. Notably, we describe the two phases of the allele dynamics: The first is a rapid phase, in which directional selection introduces small frequency differences between alleles whose effects are aligned with or opposed to the shift, ultimately leading to small differences in their probability of fixation during a second, longer phase, governed by stabilizing selection. As we discuss, key results should hold in more general settings and have important implications for efforts to identify the genetic basis of adaptation in humans and other species.","lang":"eng"}],"article_processing_charge":"No","acknowledgement":"We thank Guy Amster, Jeremy Berg, Nick Barton, Yuval Simons and Molly Przeworski for many helpful discussions, and Jeremy Berg, Graham Coop, Joachim Hermisson, Guillaume Martin, Will Milligan, Peter Ralph, Yuval Simons, Leo Speidel and Molly Przeworski for comments on the manuscript.\r\nNational Institutes of Health GM115889 Laura Katharine Hayward Guy Sella \r\nNational Institutes of Health GM121372 Laura Katharine Hayward","file_date_updated":"2023-01-24T12:21:32Z","publication_identifier":{"eissn":["2050-084X"]},"language":[{"iso":"eng"}],"_id":"12157","ddc":["570"],"publication_status":"published","department":[{"_id":"NiBa"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","external_id":{"isi":["000890735600001"]},"doi":"10.7554/elife.66697","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"oa_version":"Published Version","isi":1,"year":"2022","type":"journal_article","scopus_import":"1"},{"author":[{"full_name":"De la Rocha, Alfonso","first_name":"Alfonso","last_name":"De la Rocha"},{"last_name":"Kokoris Kogias","first_name":"Eleftherios","full_name":"Kokoris Kogias, Eleftherios","id":"f5983044-d7ef-11ea-ac6d-fd1430a26d30"},{"full_name":"Soares, Jorge M.","first_name":"Jorge M.","last_name":"Soares"},{"first_name":"Marko","last_name":"Vukolic","full_name":"Vukolic, Marko"}],"status":"public","title":"Hierarchical consensus: A horizontal scaling framework for blockchains","intvolume":"      2022","publication":"42nd International Conference on Distributed Computing Systems Workshops","publisher":"Institute of Electrical and Electronics Engineers","page":"45-52","quality_controlled":"1","month":"11","date_published":"2022-11-29T00:00:00Z","date_created":"2023-01-12T12:09:28Z","volume":2022,"date_updated":"2023-08-04T09:06:02Z","day":"29","citation":{"chicago":"De la Rocha, Alfonso, Eleftherios Kokoris Kogias, Jorge M. Soares, and Marko Vukolic. “Hierarchical Consensus: A Horizontal Scaling Framework for Blockchains.” In <i>42nd International Conference on Distributed Computing Systems Workshops</i>, 2022:45–52. Institute of Electrical and Electronics Engineers, 2022. <a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">https://doi.org/10.1109/icdcsw56584.2022.00018</a>.","mla":"De la Rocha, Alfonso, et al. “Hierarchical Consensus: A Horizontal Scaling Framework for Blockchains.” <i>42nd International Conference on Distributed Computing Systems Workshops</i>, vol. 2022, Institute of Electrical and Electronics Engineers, 2022, pp. 45–52, doi:<a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">10.1109/icdcsw56584.2022.00018</a>.","ama":"De la Rocha A, Kokoris Kogias E, Soares JM, Vukolic M. Hierarchical consensus: A horizontal scaling framework for blockchains. In: <i>42nd International Conference on Distributed Computing Systems Workshops</i>. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:45-52. doi:<a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">10.1109/icdcsw56584.2022.00018</a>","ista":"De la Rocha A, Kokoris Kogias E, Soares JM, Vukolic M. 2022. Hierarchical consensus: A horizontal scaling framework for blockchains. 42nd International Conference on Distributed Computing Systems Workshops. ICDCSW: International Conference on Distributed Computing Systems Workshop vol. 2022, 45–52.","ieee":"A. De la Rocha, E. Kokoris Kogias, J. M. Soares, and M. Vukolic, “Hierarchical consensus: A horizontal scaling framework for blockchains,” in <i>42nd International Conference on Distributed Computing Systems Workshops</i>, Bologna, Italy, 2022, vol. 2022, pp. 45–52.","apa":"De la Rocha, A., Kokoris Kogias, E., Soares, J. M., &#38; Vukolic, M. (2022). Hierarchical consensus: A horizontal scaling framework for blockchains. In <i>42nd International Conference on Distributed Computing Systems Workshops</i> (Vol. 2022, pp. 45–52). Bologna, Italy: Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/icdcsw56584.2022.00018\">https://doi.org/10.1109/icdcsw56584.2022.00018</a>","short":"A. De la Rocha, E. Kokoris Kogias, J.M. Soares, M. Vukolic, in:, 42nd International Conference on Distributed Computing Systems Workshops, Institute of Electrical and Electronics Engineers, 2022, pp. 45–52."},"conference":{"end_date":"2022-07-10","start_date":"2022-07-10","location":"Bologna, Italy","name":"ICDCSW: International Conference on Distributed Computing Systems Workshop"},"article_processing_charge":"No","publication_identifier":{"eissn":["2332-5666"],"eisbn":["9781665488792"]},"abstract":[{"text":"We present the Filecoin Hierarchical Consensus framework, which aims to overcome the throughput challenges of blockchain consensus by horizontally scaling the network. Unlike traditional sharding designs, based on partitioning the state of the network, our solution centers on the concept of subnets -which are organized hierarchically- and can be spawned on-demand to manage new state. Child sub nets are firewalled from parent subnets, have their own specific policies, and run a different consensus algorithm, increasing the network capacity and enabling new applications. Moreover, they benefit from the security of parent subnets by periodically checkpointing state. In this paper, we introduce the overall system architecture, our detailed designs for cross-net transaction handling, and the open questions that we are still exploring.","lang":"eng"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"ElKo"}],"external_id":{"isi":["000895984800009"]},"publication_status":"published","_id":"12160","language":[{"iso":"eng"}],"oa_version":"None","doi":"10.1109/icdcsw56584.2022.00018","scopus_import":"1","isi":1,"type":"conference","year":"2022"},{"department":[{"_id":"ChLa"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","external_id":{"isi":["000897707602018"],"arxiv":["2206.05181"]},"publication_status":"published","_id":"12161","language":[{"iso":"eng"}],"article_processing_charge":"No","publication_identifier":{"eisbn":["9781665490627"],"eissn":["2831-7475"]},"abstract":[{"text":"We introduce LIMES, a new method for learning with non-stationary streaming data, inspired by the recent success of meta-learning. The main idea is not to attempt to learn a single classifier that would have to work well across all occurring data distributions, nor many separate classifiers, but to exploit a hybrid strategy: we learn a single set of model parameters from which a specific classifier for any specific data distribution is derived via classifier adaptation. Assuming a multiclass classification setting with class-prior shift, the adaptation step can be performed analytically with only the classifier’s bias terms being affected. Another contribution of our work is an extrapolation step that predicts suitable adaptation parameters for future time steps based on the previous data. In combination, we obtain a lightweight procedure for learning from streaming data with varying class distribution that adds no trainable parameters and almost no memory or computational overhead compared to training a single model. Experiments on a set of exemplary tasks using Twitter data show that LIMES achieves higher accuracy than alternative approaches, especially with respect to the relevant real-world metric of lowest within-day accuracy.","lang":"eng"}],"scopus_import":"1","arxiv":1,"year":"2022","type":"conference","isi":1,"oa_version":"Preprint","doi":"10.1109/icpr56361.2022.9956195","intvolume":"      2022","publication":"26th International Conference on Pattern Recognition","publisher":"Institute of Electrical and Electronics Engineers","quality_controlled":"1","page":"2128-2134","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2206.05181","open_access":"1"}],"author":[{"full_name":"Tomaszewska, Paulina","first_name":"Paulina","last_name":"Tomaszewska"},{"full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph","orcid":"0000-0001-8622-7887","last_name":"Lampert"}],"oa":1,"status":"public","title":"Lightweight conditional model extrapolation for streaming data under class-prior shift","date_updated":"2023-08-04T09:06:34Z","day":"29","citation":{"chicago":"Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.” In <i>26th International Conference on Pattern Recognition</i>, 2022:2128–34. Institute of Electrical and Electronics Engineers, 2022. <a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">https://doi.org/10.1109/icpr56361.2022.9956195</a>.","mla":"Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.” <i>26th International Conference on Pattern Recognition</i>, vol. 2022, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–34, doi:<a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">10.1109/icpr56361.2022.9956195</a>.","ama":"Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for streaming data under class-prior shift. In: <i>26th International Conference on Pattern Recognition</i>. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2128-2134. doi:<a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">10.1109/icpr56361.2022.9956195</a>","ista":"Tomaszewska P, Lampert C. 2022. Lightweight conditional model extrapolation for streaming data under class-prior shift. 26th International Conference on Pattern Recognition. ICPR: International Conference on Pattern Recognition vol. 2022, 2128–2134.","ieee":"P. Tomaszewska and C. Lampert, “Lightweight conditional model extrapolation for streaming data under class-prior shift,” in <i>26th International Conference on Pattern Recognition</i>, Montreal, Canada, 2022, vol. 2022, pp. 2128–2134.","apa":"Tomaszewska, P., &#38; Lampert, C. (2022). Lightweight conditional model extrapolation for streaming data under class-prior shift. In <i>26th International Conference on Pattern Recognition</i> (Vol. 2022, pp. 2128–2134). Montreal, Canada: Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/icpr56361.2022.9956195\">https://doi.org/10.1109/icpr56361.2022.9956195</a>","short":"P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–2134."},"conference":{"end_date":"2022-08-25","location":"Montreal, Canada","start_date":"2022-08-21","name":"ICPR: International Conference on Pattern Recognition"},"month":"11","date_published":"2022-11-29T00:00:00Z","date_created":"2023-01-12T12:09:38Z","volume":2022},{"doi":"10.1111/mec.16779","oa_version":"Published Version","type":"journal_article","year":"2022","isi":1,"scopus_import":"1","abstract":[{"lang":"eng","text":"Kerstin Johannesson is a marine ecologist and evolutionary biologist based at the Tjärnö Marine Laboratory of the University of Gothenburg, which is situated in the beautiful Kosterhavet National Park on the Swedish west coast. Her work, using marine periwinkles (especially Littorina saxatilis and L. fabalis) as main model systems, has made a remarkable contribution to marine evolutionary biology and our understanding of local adaptation and its genetic underpinnings."}],"publication_identifier":{"eissn":["1365-294X"],"issn":["0962-1083"]},"article_processing_charge":"No","language":[{"iso":"eng"}],"_id":"12166","publication_status":"published","external_id":{"isi":["000892168800001"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"NiBa"}],"volume":32,"article_type":"letter_note","date_published":"2022-11-28T00:00:00Z","date_created":"2023-01-12T12:10:28Z","month":"11","citation":{"short":"A.M. Westram, R. Butlin, Molecular Ecology 32 (2022) 26–29.","apa":"Westram, A. M., &#38; Butlin, R. (2022). Professor Kerstin Johannesson–winner of the 2022 Molecular Ecology Prize. <i>Molecular Ecology</i>. Wiley. <a href=\"https://doi.org/10.1111/mec.16779\">https://doi.org/10.1111/mec.16779</a>","ieee":"A. M. Westram and R. Butlin, “Professor Kerstin Johannesson–winner of the 2022 Molecular Ecology Prize,” <i>Molecular Ecology</i>, vol. 32, no. 1. Wiley, pp. 26–29, 2022.","ista":"Westram AM, Butlin R. 2022. Professor Kerstin Johannesson–winner of the 2022 Molecular Ecology Prize. Molecular Ecology. 32(1), 26–29.","ama":"Westram AM, Butlin R. Professor Kerstin Johannesson–winner of the 2022 Molecular Ecology Prize. <i>Molecular Ecology</i>. 2022;32(1):26-29. doi:<a href=\"https://doi.org/10.1111/mec.16779\">10.1111/mec.16779</a>","mla":"Westram, Anja M., and Roger Butlin. “Professor Kerstin Johannesson–Winner of the 2022 Molecular Ecology Prize.” <i>Molecular Ecology</i>, vol. 32, no. 1, Wiley, 2022, pp. 26–29, doi:<a href=\"https://doi.org/10.1111/mec.16779\">10.1111/mec.16779</a>.","chicago":"Westram, Anja M, and Roger Butlin. “Professor Kerstin Johannesson–Winner of the 2022 Molecular Ecology Prize.” <i>Molecular Ecology</i>. Wiley, 2022. <a href=\"https://doi.org/10.1111/mec.16779\">https://doi.org/10.1111/mec.16779</a>."},"day":"28","date_updated":"2023-08-04T09:09:15Z","title":"Professor Kerstin Johannesson–winner of the 2022 Molecular Ecology Prize","status":"public","oa":1,"author":[{"first_name":"Anja M","orcid":"0000-0003-1050-4969","last_name":"Westram","full_name":"Westram, Anja M","id":"3C147470-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Roger","last_name":"Butlin","full_name":"Butlin, Roger"}],"issue":"1","page":"26-29","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1111/mec.16779"}],"keyword":["Genetics","Ecology","Evolution","Behavior and Systematics"],"quality_controlled":"1","publisher":"Wiley","publication":"Molecular Ecology","intvolume":"        32"},{"publication":"Financial Cryptography and Data Security","intvolume":"     13411","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2110.08848"}],"quality_controlled":"1","page":"358-373","publisher":"Springer Nature","author":[{"id":"c20482a0-3b89-11eb-9862-88cf6404b88c","full_name":"Avarikioti, Georgia","last_name":"Avarikioti","first_name":"Georgia"},{"first_name":"Krzysztof Z","orcid":"0000-0002-9139-1654","last_name":"Pietrzak","full_name":"Pietrzak, Krzysztof Z","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Salem, Iosif","first_name":"Iosif","last_name":"Salem"},{"full_name":"Schmid, Stefan","first_name":"Stefan","last_name":"Schmid"},{"last_name":"Tiwari","first_name":"Samarth","full_name":"Tiwari, Samarth"},{"first_name":"Michelle X","last_name":"Yeo","id":"2D82B818-F248-11E8-B48F-1D18A9856A87","full_name":"Yeo, Michelle X"}],"oa":1,"status":"public","title":"Hide & Seek: Privacy-preserving rebalancing on payment channel networks","date_updated":"2023-09-05T15:10:57Z","day":"22","citation":{"ieee":"G. Avarikioti, K. Z. Pietrzak, I. Salem, S. Schmid, S. Tiwari, and M. X. Yeo, “Hide &#38; Seek: Privacy-preserving rebalancing on payment channel networks,” in <i>Financial Cryptography and Data Security</i>, Grenada, 2022, vol. 13411, pp. 358–373.","apa":"Avarikioti, G., Pietrzak, K. Z., Salem, I., Schmid, S., Tiwari, S., &#38; Yeo, M. X. (2022). Hide &#38; Seek: Privacy-preserving rebalancing on payment channel networks. In <i>Financial Cryptography and Data Security</i> (Vol. 13411, pp. 358–373). Grenada: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-031-18283-9_17\">https://doi.org/10.1007/978-3-031-18283-9_17</a>","short":"G. Avarikioti, K.Z. Pietrzak, I. Salem, S. Schmid, S. Tiwari, M.X. Yeo, in:, Financial Cryptography and Data Security, Springer Nature, 2022, pp. 358–373.","chicago":"Avarikioti, Georgia, Krzysztof Z Pietrzak, Iosif Salem, Stefan Schmid, Samarth Tiwari, and Michelle X Yeo. “Hide &#38; Seek: Privacy-Preserving Rebalancing on Payment Channel Networks.” In <i>Financial Cryptography and Data Security</i>, 13411:358–73. Springer Nature, 2022. <a href=\"https://doi.org/10.1007/978-3-031-18283-9_17\">https://doi.org/10.1007/978-3-031-18283-9_17</a>.","mla":"Avarikioti, Georgia, et al. “Hide &#38; Seek: Privacy-Preserving Rebalancing on Payment Channel Networks.” <i>Financial Cryptography and Data Security</i>, vol. 13411, Springer Nature, 2022, pp. 358–73, doi:<a href=\"https://doi.org/10.1007/978-3-031-18283-9_17\">10.1007/978-3-031-18283-9_17</a>.","ista":"Avarikioti G, Pietrzak KZ, Salem I, Schmid S, Tiwari S, Yeo MX. 2022. Hide &#38; Seek: Privacy-preserving rebalancing on payment channel networks. Financial Cryptography and Data Security. FC: Financial Cryptography and Data Security, LNCS, vol. 13411, 358–373.","ama":"Avarikioti G, Pietrzak KZ, Salem I, Schmid S, Tiwari S, Yeo MX. Hide &#38; Seek: Privacy-preserving rebalancing on payment channel networks. In: <i>Financial Cryptography and Data Security</i>. Vol 13411. Springer Nature; 2022:358-373. doi:<a href=\"https://doi.org/10.1007/978-3-031-18283-9_17\">10.1007/978-3-031-18283-9_17</a>"},"conference":{"name":"FC: Financial Cryptography and Data Security","end_date":"2022-05-06","start_date":"2022-05-02","location":"Grenada"},"month":"10","date_published":"2022-10-22T00:00:00Z","date_created":"2023-01-12T12:10:38Z","volume":13411,"department":[{"_id":"KrPi"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","external_id":{"arxiv":["2110.08848"]},"_id":"12167","language":[{"iso":"eng"}],"publication_status":"published","article_processing_charge":"No","alternative_title":["LNCS"],"publication_identifier":{"isbn":["9783031182822"],"eissn":["1611-3349"],"issn":["0302-9743"],"eisbn":["9783031182839"]},"abstract":[{"lang":"eng","text":"Payment channels effectively move the transaction load off-chain thereby successfully addressing the inherent scalability problem most cryptocurrencies face. A major drawback of payment channels is the need to “top up” funds on-chain when a channel is depleted. Rebalancing was proposed to alleviate this issue, where parties with depleting channels move their funds along a cycle to replenish their channels off-chain. Protocols for rebalancing so far either introduce local solutions or compromise privacy.\r\nIn this work, we present an opt-in rebalancing protocol that is both private and globally optimal, meaning our protocol maximizes the total amount of rebalanced funds. We study rebalancing from the framework of linear programming. To obtain full privacy guarantees, we leverage multi-party computation in solving the linear program, which is executed by selected participants to maintain efficiency. Finally, we efficiently decompose the rebalancing solution into incentive-compatible cycles which conserve user balances when executed atomically."}],"arxiv":1,"type":"conference","year":"2022","scopus_import":"1","oa_version":"Preprint","doi":"10.1007/978-3-031-18283-9_17"}]