[{"oa":1,"title":"CCDC 1991959: Experimental Crystal Structure Determination","fulldoi":"https://doi.org/10.5517/ccdc.csd.cc24vsrk","status":"public","publisher":"CCDC","day":"22","date_created":"2021-08-06T07:41:07Z","article_processing_charge":"No","citation":{"chicago":"Schlemmer, Werner, Philipp Nothdurft, Alina Petzold, Gisbert Riess, Philipp Frühwirt, Max Schmallegger, Georg Gescheidt-Demner, et al. “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>.","ieee":"W. Schlemmer <i>et al.</i>, “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020.","apa":"Schlemmer, W., Nothdurft, P., Petzold, A., Riess, G., Frühwirt, P., Schmallegger, M., … Spirk, S. (2020). CCDC 1991959: Experimental Crystal Structure Determination. CCDC. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>","short":"W. Schlemmer, P. Nothdurft, A. Petzold, G. Riess, P. Frühwirt, M. Schmallegger, G. Gescheidt-Demner, R. Fischer, S.A. Freunberger, W. Kern, S. Spirk, (2020).","mla":"Schlemmer, Werner, et al. <i>CCDC 1991959: Experimental Crystal Structure Determination</i>. CCDC, 2020, doi:<a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>.","ama":"Schlemmer W, Nothdurft P, Petzold A, et al. CCDC 1991959: Experimental Crystal Structure Determination. 2020. doi:<a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>","ista":"Schlemmer W, Nothdurft P, Petzold A, Riess G, Frühwirt P, Schmallegger M, Gescheidt-Demner G, Fischer R, Freunberger SA, Kern W, Spirk S. 2020. CCDC 1991959: Experimental Crystal Structure Determination, CCDC, <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>."},"abstract":[{"text":"PADREV : 4,4'-dimethoxy[1,1'-biphenyl]-2,2',5,5'-tetrol\r\nSpace Group: C 2 (5), Cell: a 24.488(16)Å b 5.981(4)Å c 3.911(3)Å, α 90° β 91.47(3)° γ 90°","lang":"eng"}],"date_published":"2020-03-22T00:00:00Z","_id":"9780","doi":"10.5517/ccdc.csd.cc24vsrk","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","department":[{"_id":"StFr"}],"type":"research_data_reference","month":"03","main_file_link":[{"url":"https://dx.doi.org/10.5517/ccdc.csd.cc24vsrk","open_access":"1"}],"related_material":{"record":[{"relation":"used_in_publication","id":"8329","status":"public"}]},"date_updated":"2026-06-18T19:32:35Z","author":[{"last_name":"Schlemmer","full_name":"Schlemmer, Werner","first_name":"Werner"},{"first_name":"Philipp","full_name":"Nothdurft, Philipp","last_name":"Nothdurft"},{"first_name":"Alina","last_name":"Petzold","full_name":"Petzold, Alina"},{"full_name":"Riess, Gisbert","last_name":"Riess","first_name":"Gisbert"},{"full_name":"Frühwirt, Philipp","last_name":"Frühwirt","first_name":"Philipp"},{"last_name":"Schmallegger","full_name":"Schmallegger, Max","first_name":"Max"},{"first_name":"Georg","full_name":"Gescheidt-Demner, Georg","last_name":"Gescheidt-Demner"},{"first_name":"Roland","last_name":"Fischer","full_name":"Fischer, Roland"},{"orcid":"0000-0003-2902-5319","first_name":"Stefan Alexander","last_name":"Freunberger","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","full_name":"Freunberger, Stefan Alexander"},{"last_name":"Kern","full_name":"Kern, Wolfgang","first_name":"Wolfgang"},{"first_name":"Stefan","last_name":"Spirk","full_name":"Spirk, Stefan"}],"year":"2020","oa_version":"Published Version"},{"date_updated":"2026-06-18T19:05:02Z","related_material":{"record":[{"relation":"used_in_publication","id":"6467","status":"public"}]},"oa_version":"Published Version","year":"2020","author":[{"last_name":"Fraisse","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","full_name":"Fraisse, Christelle","orcid":"0000-0001-8441-5075","first_name":"Christelle"},{"first_name":"John J.","last_name":"Welch","full_name":"Welch, John J."}],"OA_type":"hybrid","user_id":"0043cee0-e5fc-11ee-9736-f83bc23afbf0","doi":"10.6084/m9.figshare.7957472.v1","month":"10","main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.7957472.v1"}],"type":"research_data_reference","department":[{"_id":"BeVi"},{"_id":"NiBa"}],"date_created":"2021-08-06T11:18:15Z","article_processing_charge":"No","citation":{"ama":"Fraisse C, Welch JJ. Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">10.6084/m9.figshare.7957472.v1</a>","mla":"Fraisse, Christelle, and John J. Welch. <i>Simulation Code for Fig S2 from the Distribution of Epistasis on Simple Fitness Landscapes</i>. Royal Society of London, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">10.6084/m9.figshare.7957472.v1</a>.","ista":"Fraisse C, Welch JJ. 2020. Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes, Royal Society of London, <a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">10.6084/m9.figshare.7957472.v1</a>.","short":"C. Fraisse, J.J. Welch, (2020).","apa":"Fraisse, C., &#38; Welch, J. J. (2020). Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes. Royal Society of London. <a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">https://doi.org/10.6084/m9.figshare.7957472.v1</a>","ieee":"C. Fraisse and J. J. Welch, “Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes.” Royal Society of London, 2020.","chicago":"Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S2 from the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of London, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">https://doi.org/10.6084/m9.figshare.7957472.v1</a>."},"abstract":[{"text":"Fitness interactions between mutations can influence a population’s evolution in many different ways. While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape and the distribution of mutations, and so is expected to vary in consistent ways between new mutations, standing variation and fixed mutations.","lang":"eng"}],"OA_place":"publisher","day":"15","publisher":"Royal Society of London","_id":"9798","date_published":"2020-10-15T00:00:00Z","oa":1,"title":"Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes","fulldoi":"https://doi.org/10.6084/m9.figshare.7957472.v1","status":"public"},{"department":[{"_id":"BeVi"},{"_id":"NiBa"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.7957469.v1"}],"type":"research_data_reference","month":"10","doi":"10.6084/m9.figshare.7957469.v1","user_id":"0043cee0-e5fc-11ee-9736-f83bc23afbf0","OA_type":"hybrid","author":[{"full_name":"Fraisse, Christelle","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","last_name":"Fraisse","orcid":"0000-0001-8441-5075","first_name":"Christelle"},{"first_name":"John J.","full_name":"Welch, John J.","last_name":"Welch"}],"year":"2020","oa_version":"Published Version","related_material":{"record":[{"id":"6467","relation":"used_in_publication","status":"public"}]},"date_updated":"2026-06-18T19:05:02Z","status":"public","fulldoi":"https://doi.org/10.6084/m9.figshare.7957469.v1","title":"Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes","oa":1,"date_published":"2020-10-15T00:00:00Z","_id":"9799","day":"15","publisher":"Royal Society of London","OA_place":"publisher","abstract":[{"lang":"eng","text":"Fitness interactions between mutations can influence a population’s evolution in many different ways. While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape and the distribution of mutations, and so is expected to vary in consistent ways between new mutations, standing variation and fixed mutations."}],"article_processing_charge":"No","date_created":"2021-08-06T11:26:57Z","citation":{"short":"C. Fraisse, J.J. Welch, (2020).","apa":"Fraisse, C., &#38; Welch, J. J. (2020). Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes. Royal Society of London. <a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">https://doi.org/10.6084/m9.figshare.7957469.v1</a>","ista":"Fraisse C, Welch JJ. 2020. Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes, Royal Society of London, <a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">10.6084/m9.figshare.7957469.v1</a>.","ama":"Fraisse C, Welch JJ. Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">10.6084/m9.figshare.7957469.v1</a>","mla":"Fraisse, Christelle, and John J. Welch. <i>Simulation Code for Fig S1 from the Distribution of Epistasis on Simple Fitness Landscapes</i>. Royal Society of London, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">10.6084/m9.figshare.7957469.v1</a>.","chicago":"Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S1 from the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of London, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">https://doi.org/10.6084/m9.figshare.7957469.v1</a>.","ieee":"C. Fraisse and J. J. Welch, “Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes.” Royal Society of London, 2020."}},{"language":[{"iso":"eng"}],"publication":"Random Matrices: Theory and Application","doi":"10.1142/S2010326320500069","scopus_import":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","quality_controlled":"1","publication_status":"published","day":"01","abstract":[{"lang":"eng","text":"We prove a central limit theorem for the difference of linear eigenvalue statistics of a sample covariance matrix W˜ and its minor W. We find that the fluctuation of this difference is much smaller than those of the individual linear statistics, as a consequence of the strong correlation between the eigenvalues of W˜ and W. Our result identifies the fluctuation of the spatial derivative of the approximate Gaussian field in the recent paper by Dumitru and Paquette. Unlike in a similar result for Wigner matrices, for sample covariance matrices, the fluctuation may entirely vanish."}],"date_published":"2020-07-01T00:00:00Z","publication_identifier":{"issn":["2010-3263"],"eissn":["2010-3271"]},"project":[{"_id":"258DCDE6-B435-11E9-9278-68D0E5697425","name":"Random matrices, universality and disordered quantum systems","grant_number":"338804","call_identifier":"FP7"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"}],"fulldoi":"https://doi.org/10.1142/S2010326320500069","ec_funded":1,"date_updated":"2025-07-10T11:53:26Z","article_number":"2050006","author":[{"last_name":"Cipolloni","id":"42198EFA-F248-11E8-B48F-1D18A9856A87","full_name":"Cipolloni, Giorgio","orcid":"0000-0002-4901-7992","first_name":"Giorgio"},{"orcid":"0000-0001-5366-9603","first_name":"László","last_name":"Erdös","id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","full_name":"Erdös, László"}],"oa_version":"Preprint","year":"2020","issue":"3","department":[{"_id":"LaEr"}],"main_file_link":[{"url":"https://arxiv.org/abs/1806.08751","open_access":"1"}],"month":"07","isi":1,"publisher":"World Scientific Publishing","article_processing_charge":"No","volume":9,"citation":{"chicago":"Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” <i>Random Matrices: Theory and Application</i>. World Scientific Publishing, 2020. <a href=\"https://doi.org/10.1142/S2010326320500069\">https://doi.org/10.1142/S2010326320500069</a>.","ieee":"G. Cipolloni and L. Erdös, “Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices,” <i>Random Matrices: Theory and Application</i>, vol. 9, no. 3. World Scientific Publishing, 2020.","short":"G. Cipolloni, L. Erdös, Random Matrices: Theory and Application 9 (2020).","apa":"Cipolloni, G., &#38; Erdös, L. (2020). Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. <i>Random Matrices: Theory and Application</i>. World Scientific Publishing. <a href=\"https://doi.org/10.1142/S2010326320500069\">https://doi.org/10.1142/S2010326320500069</a>","ama":"Cipolloni G, Erdös L. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. <i>Random Matrices: Theory and Application</i>. 2020;9(3). doi:<a href=\"https://doi.org/10.1142/S2010326320500069\">10.1142/S2010326320500069</a>","ista":"Cipolloni G, Erdös L. 2020. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. Random Matrices: Theory and Application. 9(3), 2050006.","mla":"Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” <i>Random Matrices: Theory and Application</i>, vol. 9, no. 3, 2050006, World Scientific Publishing, 2020, doi:<a href=\"https://doi.org/10.1142/S2010326320500069\">10.1142/S2010326320500069</a>."},"date_created":"2019-05-26T21:59:14Z","external_id":{"arxiv":["1806.08751"],"isi":["000547464400001"]},"article_type":"original","_id":"6488","title":"Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices","intvolume":"         9","oa":1,"status":"public","arxiv":1},{"status":"public","arxiv":1,"intvolume":"        20","title":"Are two given maps homotopic? An algorithmic viewpoint","oa":1,"external_id":{"arxiv":["1312.2337"],"isi":["000522437400004"]},"article_type":"original","_id":"6563","publisher":"Springer Nature","article_processing_charge":"No","date_created":"2019-06-16T21:59:14Z","citation":{"mla":"Filakovský, Marek, and Lukas Vokřínek. “Are Two given Maps Homotopic? An Algorithmic Viewpoint.” <i>Foundations of Computational Mathematics</i>, vol. 20, Springer Nature, 2020, pp. 311–30, doi:<a href=\"https://doi.org/10.1007/s10208-019-09419-x\">10.1007/s10208-019-09419-x</a>.","ama":"Filakovský M, Vokřínek L. Are two given maps homotopic? An algorithmic viewpoint. <i>Foundations of Computational Mathematics</i>. 2020;20:311-330. doi:<a href=\"https://doi.org/10.1007/s10208-019-09419-x\">10.1007/s10208-019-09419-x</a>","ista":"Filakovský M, Vokřínek L. 2020. Are two given maps homotopic? An algorithmic viewpoint. Foundations of Computational Mathematics. 20, 311–330.","apa":"Filakovský, M., &#38; Vokřínek, L. (2020). Are two given maps homotopic? An algorithmic viewpoint. <i>Foundations of Computational Mathematics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10208-019-09419-x\">https://doi.org/10.1007/s10208-019-09419-x</a>","short":"M. Filakovský, L. Vokřínek, Foundations of Computational Mathematics 20 (2020) 311–330.","ieee":"M. Filakovský and L. Vokřínek, “Are two given maps homotopic? An algorithmic viewpoint,” <i>Foundations of Computational Mathematics</i>, vol. 20. Springer Nature, pp. 311–330, 2020.","chicago":"Filakovský, Marek, and Lukas Vokřínek. “Are Two given Maps Homotopic? An Algorithmic Viewpoint.” <i>Foundations of Computational Mathematics</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s10208-019-09419-x\">https://doi.org/10.1007/s10208-019-09419-x</a>."},"volume":20,"department":[{"_id":"UlWa"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1312.2337"}],"month":"04","isi":1,"author":[{"first_name":"Marek","full_name":"Filakovský, Marek","id":"3E8AF77E-F248-11E8-B48F-1D18A9856A87","last_name":"Filakovský"},{"first_name":"Lukas","full_name":"Vokřínek, Lukas","last_name":"Vokřínek"}],"oa_version":"Preprint","year":"2020","date_updated":"2025-07-10T11:53:32Z","fulldoi":"https://doi.org/10.1007/s10208-019-09419-x","publication_identifier":{"issn":["1615-3375"],"eissn":["1615-3383"]},"project":[{"name":"Algorithms for Embeddings and Homotopy Theory","grant_number":"P31312","call_identifier":"FWF","_id":"26611F5C-B435-11E9-9278-68D0E5697425"}],"date_published":"2020-04-01T00:00:00Z","page":"311-330","day":"01","abstract":[{"text":"This paper presents two algorithms. The first decides the existence of a pointed homotopy between given simplicial maps 𝑓,𝑔:𝑋→𝑌, and the second computes the group [𝛴𝑋,𝑌]∗ of pointed homotopy classes of maps from a suspension; in both cases, the target Y is assumed simply connected. More generally, these algorithms work relative to 𝐴⊆𝑋.","lang":"eng"}],"quality_controlled":"1","type":"journal_article","publication_status":"published","doi":"10.1007/s10208-019-09419-x","scopus_import":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Foundations of Computational Mathematics","language":[{"iso":"eng"}]},{"publication":"Numerical Algorithms","language":[{"iso":"eng"}],"publication_status":"published","quality_controlled":"1","type":"journal_article","scopus_import":"1","doi":"10.1007/s11075-019-00758-y","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","file":[{"file_id":"6927","access_level":"open_access","checksum":"bb1a1eb3ebb2df380863d0db594673ba","date_created":"2019-10-01T13:14:10Z","date_updated":"2020-07-14T12:47:34Z","creator":"kschuh","content_type":"application/pdf","file_size":359654,"relation":"main_file","file_name":"ExtragradientMethodPaper.pdf"}],"date_published":"2020-05-01T00:00:00Z","page":"365-388","day":"01","abstract":[{"text":"We consider the monotone variational inequality problem in a Hilbert space and describe a projection-type method with inertial terms under the following properties: (a) The method generates a strongly convergent iteration sequence; (b) The method requires, at each iteration, only one projection onto the feasible set and two evaluations of the operator; (c) The method is designed for variational inequality for which the underline operator is monotone and uniformly continuous; (d) The method includes an inertial term. The latter is also shown to speed up the convergence in our numerical results. A comparison with some related methods is given and indicates that the new method is promising.","lang":"eng"}],"ec_funded":1,"fulldoi":"https://doi.org/10.1007/s11075-019-00758-y","corr_author":"1","publication_identifier":{"issn":["1017-1398"],"eissn":["1572-9265"]},"project":[{"_id":"25FBA906-B435-11E9-9278-68D0E5697425","grant_number":"616160","name":"Discrete Optimization in Computer Vision: Theory and Practice","call_identifier":"FP7"}],"author":[{"orcid":"0000-0001-9224-7139","first_name":"Yekini","id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","last_name":"Shehu","full_name":"Shehu, Yekini"},{"first_name":"Xiao-Huan","last_name":"Li","full_name":"Li, Xiao-Huan"},{"first_name":"Qiao-Li","last_name":"Dong","full_name":"Dong, Qiao-Li"}],"acknowledgement":"The research of this author is supported by the ERC grant at the IST.","oa_version":"Submitted Version","year":"2020","ddc":["000"],"date_updated":"2024-11-04T13:52:40Z","department":[{"_id":"VlKo"}],"isi":1,"month":"05","has_accepted_license":"1","external_id":{"isi":["000528979000015"]},"_id":"6593","article_type":"original","publisher":"Springer Nature","date_created":"2019-06-27T20:09:33Z","volume":84,"citation":{"mla":"Shehu, Yekini, et al. “An Efficient Projection-Type Method for Monotone Variational Inequalities in Hilbert Spaces.” <i>Numerical Algorithms</i>, vol. 84, Springer Nature, 2020, pp. 365–88, doi:<a href=\"https://doi.org/10.1007/s11075-019-00758-y\">10.1007/s11075-019-00758-y</a>.","ama":"Shehu Y, Li X-H, Dong Q-L. An efficient projection-type method for monotone variational inequalities in Hilbert spaces. <i>Numerical Algorithms</i>. 2020;84:365-388. doi:<a href=\"https://doi.org/10.1007/s11075-019-00758-y\">10.1007/s11075-019-00758-y</a>","ista":"Shehu Y, Li X-H, Dong Q-L. 2020. An efficient projection-type method for monotone variational inequalities in Hilbert spaces. Numerical Algorithms. 84, 365–388.","apa":"Shehu, Y., Li, X.-H., &#38; Dong, Q.-L. (2020). An efficient projection-type method for monotone variational inequalities in Hilbert spaces. <i>Numerical Algorithms</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s11075-019-00758-y\">https://doi.org/10.1007/s11075-019-00758-y</a>","short":"Y. Shehu, X.-H. Li, Q.-L. Dong, Numerical Algorithms 84 (2020) 365–388.","ieee":"Y. Shehu, X.-H. Li, and Q.-L. Dong, “An efficient projection-type method for monotone variational inequalities in Hilbert spaces,” <i>Numerical Algorithms</i>, vol. 84. Springer Nature, pp. 365–388, 2020.","chicago":"Shehu, Yekini, Xiao-Huan Li, and Qiao-Li Dong. “An Efficient Projection-Type Method for Monotone Variational Inequalities in Hilbert Spaces.” <i>Numerical Algorithms</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s11075-019-00758-y\">https://doi.org/10.1007/s11075-019-00758-y</a>."},"article_processing_charge":"No","status":"public","file_date_updated":"2020-07-14T12:47:34Z","oa":1,"intvolume":"        84","title":"An efficient projection-type method for monotone variational inequalities in Hilbert spaces"},{"abstract":[{"lang":"eng","text":"While Hartree–Fock theory is well established as a fundamental approximation for interacting fermions, it has been unclear how to describe corrections to it due to many-body correlations. In this paper we start from the Hartree–Fock state given by plane waves and introduce collective particle–hole pair excitations. These pairs can be approximately described by a bosonic quadratic Hamiltonian. We use Bogoliubov theory to construct a trial state yielding a rigorous Gell-Mann–Brueckner–type upper bound to the ground state energy. Our result justifies the random-phase approximation in the mean-field scaling regime, for repulsive, regular interaction potentials.\r\n"}],"day":"01","page":"2097–2150","file":[{"creator":"dernst","relation":"main_file","file_name":"2019_CommMathPhysics_Benedikter.pdf","file_size":853289,"content_type":"application/pdf","checksum":"f9dd6dd615a698f1d3636c4a092fed23","access_level":"open_access","file_id":"6668","date_updated":"2020-07-14T12:47:35Z","date_created":"2019-07-24T07:19:10Z"}],"date_published":"2020-03-01T00:00:00Z","project":[{"_id":"3AC91DDA-15DF-11EA-824D-93A3E7B544D1","name":"FWF Open Access Fund","call_identifier":"FWF"},{"_id":"25C878CE-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Structure of the Excitation Spectrum for Many-Body Quantum Systems","grant_number":"P27533_N27"},{"call_identifier":"H2020","name":"Analysis of quantum many-body systems","grant_number":"694227","_id":"25C6DC12-B435-11E9-9278-68D0E5697425"}],"publication_identifier":{"eissn":["1432-0916"],"issn":["0010-3616"]},"fulldoi":"https://doi.org/10.1007/s00220-019-03505-5","corr_author":"1","ec_funded":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"language":[{"iso":"eng"}],"publication":"Communications in Mathematical Physics","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","doi":"10.1007/s00220-019-03505-5","scopus_import":"1","quality_controlled":"1","type":"journal_article","publication_status":"published","volume":374,"date_created":"2019-07-18T13:30:04Z","article_processing_charge":"No","citation":{"mla":"Benedikter, Niels P., et al. “Optimal Upper Bound for the Correlation Energy of a Fermi Gas in the Mean-Field Regime.” <i>Communications in Mathematical Physics</i>, vol. 374, Springer Nature, 2020, pp. 2097–2150, doi:<a href=\"https://doi.org/10.1007/s00220-019-03505-5\">10.1007/s00220-019-03505-5</a>.","ista":"Benedikter NP, Nam PT, Porta M, Schlein B, Seiringer R. 2020. Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime. Communications in Mathematical Physics. 374, 2097–2150.","ama":"Benedikter NP, Nam PT, Porta M, Schlein B, Seiringer R. Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime. <i>Communications in Mathematical Physics</i>. 2020;374:2097–2150. doi:<a href=\"https://doi.org/10.1007/s00220-019-03505-5\">10.1007/s00220-019-03505-5</a>","short":"N.P. Benedikter, P.T. Nam, M. Porta, B. Schlein, R. Seiringer, Communications in Mathematical Physics 374 (2020) 2097–2150.","apa":"Benedikter, N. P., Nam, P. T., Porta, M., Schlein, B., &#38; Seiringer, R. (2020). Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime. <i>Communications in Mathematical Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00220-019-03505-5\">https://doi.org/10.1007/s00220-019-03505-5</a>","ieee":"N. P. Benedikter, P. T. Nam, M. Porta, B. Schlein, and R. Seiringer, “Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime,” <i>Communications in Mathematical Physics</i>, vol. 374. Springer Nature, pp. 2097–2150, 2020.","chicago":"Benedikter, Niels P, Phan Thành Nam, Marcello Porta, Benjamin Schlein, and Robert Seiringer. “Optimal Upper Bound for the Correlation Energy of a Fermi Gas in the Mean-Field Regime.” <i>Communications in Mathematical Physics</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s00220-019-03505-5\">https://doi.org/10.1007/s00220-019-03505-5</a>."},"publisher":"Springer Nature","article_type":"original","_id":"6649","external_id":{"isi":["000527910700019"],"arxiv":["1809.01902"]},"title":"Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime","intvolume":"       374","oa":1,"file_date_updated":"2020-07-14T12:47:35Z","status":"public","arxiv":1,"date_updated":"2025-04-14T07:27:00Z","ddc":["530"],"year":"2020","oa_version":"Published Version","author":[{"first_name":"Niels P","orcid":"0000-0002-1071-6091","last_name":"Benedikter","id":"3DE6C32A-F248-11E8-B48F-1D18A9856A87","full_name":"Benedikter, Niels P"},{"first_name":"Phan Thành","full_name":"Nam, Phan Thành","last_name":"Nam"},{"last_name":"Porta","full_name":"Porta, Marcello","first_name":"Marcello"},{"full_name":"Schlein, Benjamin","last_name":"Schlein","first_name":"Benjamin"},{"id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","last_name":"Seiringer","full_name":"Seiringer, Robert","orcid":"0000-0002-6781-0521","first_name":"Robert"}],"has_accepted_license":"1","month":"03","isi":1,"department":[{"_id":"RoSe"}]},{"date_updated":"2024-10-21T06:02:33Z","year":"2020","oa_version":"Preprint","author":[{"last_name":"Javanmard","full_name":"Javanmard, Adel","first_name":"Adel"},{"first_name":"Marco","orcid":"0000-0002-3242-7020","last_name":"Mondelli","id":"27EB676C-8706-11E9-9510-7717E6697425","full_name":"Mondelli, Marco"},{"full_name":"Montanari, Andrea","last_name":"Montanari","first_name":"Andrea"}],"issue":"6","isi":1,"main_file_link":[{"url":"https://arxiv.org/abs/1901.01375","open_access":"1"}],"month":"12","department":[{"_id":"MaMo"}],"volume":48,"article_processing_charge":"No","date_created":"2019-07-31T09:39:42Z","citation":{"ieee":"A. Javanmard, M. Mondelli, and A. Montanari, “Analysis of a two-layer neural network via displacement convexity,” <i>Annals of Statistics</i>, vol. 48, no. 6. Institute of Mathematical Statistics, pp. 3619–3642, 2020.","chicago":"Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” <i>Annals of Statistics</i>. Institute of Mathematical Statistics, 2020. <a href=\"https://doi.org/10.1214/20-AOS1945\">https://doi.org/10.1214/20-AOS1945</a>.","mla":"Javanmard, Adel, et al. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” <i>Annals of Statistics</i>, vol. 48, no. 6, Institute of Mathematical Statistics, 2020, pp. 3619–42, doi:<a href=\"https://doi.org/10.1214/20-AOS1945\">10.1214/20-AOS1945</a>.","ista":"Javanmard A, Mondelli M, Montanari A. 2020. Analysis of a two-layer neural network via displacement convexity. Annals of Statistics. 48(6), 3619–3642.","ama":"Javanmard A, Mondelli M, Montanari A. Analysis of a two-layer neural network via displacement convexity. <i>Annals of Statistics</i>. 2020;48(6):3619-3642. doi:<a href=\"https://doi.org/10.1214/20-AOS1945\">10.1214/20-AOS1945</a>","short":"A. Javanmard, M. Mondelli, A. Montanari, Annals of Statistics 48 (2020) 3619–3642.","apa":"Javanmard, A., Mondelli, M., &#38; Montanari, A. (2020). Analysis of a two-layer neural network via displacement convexity. <i>Annals of Statistics</i>. Institute of Mathematical Statistics. <a href=\"https://doi.org/10.1214/20-AOS1945\">https://doi.org/10.1214/20-AOS1945</a>"},"publisher":"Institute of Mathematical Statistics","_id":"6748","article_type":"original","external_id":{"isi":["000598369200021"],"arxiv":["1901.01375"]},"oa":1,"intvolume":"        48","title":"Analysis of a two-layer neural network via displacement convexity","arxiv":1,"status":"public","language":[{"iso":"eng"}],"publication":"Annals of Statistics","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","doi":"10.1214/20-AOS1945","publication_status":"published","quality_controlled":"1","type":"journal_article","abstract":[{"text":"Fitting a function by using linear combinations of a large number N of `simple' components is one of the most fruitful ideas in statistical learning. This idea lies at the core of a variety of methods, from two-layer neural networks to kernel regression, to boosting. In general, the resulting risk minimization problem is non-convex and is solved by gradient descent or its variants. Unfortunately, little is known about global convergence properties of these approaches.\r\nHere we consider the problem of learning a concave function f on a compact convex domain Ω⊆ℝd, using linear combinations of `bump-like' components (neurons). The parameters to be fitted are the centers of N bumps, and the resulting empirical risk minimization problem is highly non-convex. We prove that, in the limit in which the number of neurons diverges, the evolution of gradient descent converges to a Wasserstein gradient flow in the space of probability distributions over Ω. Further, when the bump width δ tends to 0, this gradient flow has a limit which is a viscous porous medium equation. Remarkably, the cost function optimized by this gradient flow exhibits a special property known as displacement convexity, which implies exponential convergence rates for N→∞, δ→0. Surprisingly, this asymptotic theory appears to capture well the behavior for moderate values of δ,N. Explaining this phenomenon, and understanding the dependence on δ,N in a quantitative manner remains an outstanding challenge.","lang":"eng"}],"day":"11","page":"3619-3642","date_published":"2020-12-11T00:00:00Z","publication_identifier":{"issn":["1932-6157"],"eissn":["1941-7330"]},"fulldoi":"https://doi.org/10.1214/20-AOS1945"},{"fulldoi":"https://doi.org/10.1016/j.tcs.2019.06.031","project":[{"_id":"25F2ACDE-B435-11E9-9278-68D0E5697425","grant_number":"S11402-N23","name":"Rigorous Systems Engineering","call_identifier":"FWF"},{"_id":"25F42A32-B435-11E9-9278-68D0E5697425","name":"Formal methods for the design and analysis of complex systems","grant_number":"Z211","call_identifier":"FWF"},{"call_identifier":"FWF","grant_number":"M02369","name":"Formal Methods meets Algorithmic Game Theory","_id":"264B3912-B435-11E9-9278-68D0E5697425"}],"publication_identifier":{"issn":["0304-3975"]},"page":"42-55","file":[{"file_id":"8639","access_level":"open_access","checksum":"e86635417f45eb2cd75778f91382f737","date_created":"2020-10-09T06:31:22Z","date_updated":"2020-10-09T06:31:22Z","creator":"dernst","success":1,"content_type":"application/pdf","file_size":1413001,"relation":"main_file","file_name":"2020_TheoreticalCS_Avni.pdf"}],"date_published":"2020-02-06T00:00:00Z","abstract":[{"text":"In resource allocation games, selfish players share resources that are needed in order to fulfill their objectives. The cost of using a resource depends on the load on it. In the traditional setting, the players make their choices concurrently and in one-shot. That is, a strategy for a player is a subset of the resources. We introduce and study dynamic resource allocation games. In this setting, the game proceeds in phases. In each phase each player chooses one resource. A scheduler dictates the order in which the players proceed in a phase, possibly scheduling several players to proceed concurrently. The game ends when each player has collected a set of resources that fulfills his objective. The cost for each player then depends on this set as well as on the load on the resources in it – we consider both congestion and cost-sharing games. We argue that the dynamic setting is the suitable setting for many applications in practice. We study the stability of dynamic resource allocation games, where the appropriate notion of stability is that of subgame perfect equilibrium, study the inefficiency incurred due to selfish behavior, and also study problems that are particular to the dynamic setting, like constraints on the order in which resources can be chosen or the problem of finding a scheduler that achieves stability.","lang":"eng"}],"day":"06","quality_controlled":"1","type":"journal_article","publication_status":"published","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","doi":"10.1016/j.tcs.2019.06.031","scopus_import":"1","publication":"Theoretical Computer Science","related_material":{"record":[{"status":"public","id":"1341","relation":"earlier_version"}]},"language":[{"iso":"eng"}],"file_date_updated":"2020-10-09T06:31:22Z","status":"public","intvolume":"       807","title":"Dynamic resource allocation games","oa":1,"article_type":"original","_id":"6761","external_id":{"isi":["000512219400004"]},"date_created":"2019-08-04T21:59:20Z","volume":807,"citation":{"ama":"Avni G, Henzinger TA, Kupferman O. Dynamic resource allocation games. <i>Theoretical Computer Science</i>. 2020;807:42-55. doi:<a href=\"https://doi.org/10.1016/j.tcs.2019.06.031\">10.1016/j.tcs.2019.06.031</a>","ista":"Avni G, Henzinger TA, Kupferman O. 2020. Dynamic resource allocation games. Theoretical Computer Science. 807, 42–55.","mla":"Avni, Guy, et al. “Dynamic Resource Allocation Games.” <i>Theoretical Computer Science</i>, vol. 807, Elsevier, 2020, pp. 42–55, doi:<a href=\"https://doi.org/10.1016/j.tcs.2019.06.031\">10.1016/j.tcs.2019.06.031</a>.","short":"G. Avni, T.A. Henzinger, O. Kupferman, Theoretical Computer Science 807 (2020) 42–55.","apa":"Avni, G., Henzinger, T. A., &#38; Kupferman, O. (2020). Dynamic resource allocation games. <i>Theoretical Computer Science</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.tcs.2019.06.031\">https://doi.org/10.1016/j.tcs.2019.06.031</a>","ieee":"G. Avni, T. A. Henzinger, and O. Kupferman, “Dynamic resource allocation games,” <i>Theoretical Computer Science</i>, vol. 807. Elsevier, pp. 42–55, 2020.","chicago":"Avni, Guy, Thomas A Henzinger, and Orna Kupferman. “Dynamic Resource Allocation Games.” <i>Theoretical Computer Science</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.tcs.2019.06.031\">https://doi.org/10.1016/j.tcs.2019.06.031</a>."},"article_processing_charge":"No","publisher":"Elsevier","month":"02","isi":1,"department":[{"_id":"ToHe"}],"has_accepted_license":"1","year":"2020","oa_version":"Submitted Version","author":[{"full_name":"Avni, Guy","id":"463C8BC2-F248-11E8-B48F-1D18A9856A87","last_name":"Avni","orcid":"0000-0001-5588-8287","first_name":"Guy"},{"id":"40876CD8-F248-11E8-B48F-1D18A9856A87","last_name":"Henzinger","full_name":"Henzinger, Thomas A","first_name":"Thomas A","orcid":"0000−0002−2985−7724"},{"first_name":"Orna","full_name":"Kupferman, Orna","last_name":"Kupferman"}],"date_updated":"2026-04-16T09:35:15Z","ddc":["000"]},{"language":[{"iso":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"publication":"Hippocampus","user_id":"9947682f-b9fa-11ee-9c4a-b3ffaafe6614","doi":"10.1002/hipo.23144","scopus_import":"1","quality_controlled":"1","type":"journal_article","publication_status":"published","abstract":[{"text":"Nearby grid cells have been observed to express a remarkable degree of long-rangeorder, which is often idealized as extending potentially to infinity. Yet their strict peri-odic firing and ensemble coherence are theoretically possible only in flat environments, much unlike the burrows which rodents usually live in. Are the symmetrical, coherent grid maps inferred in the lab relevant to chart their way in their natural habitat? We consider spheres as simple models of curved environments and waiting for the appropriate experiments to be performed, we use our adaptation model to predict what grid maps would emerge in a network with the same type of recurrent connections, which on the plane produce coherence among the units. We find that on the sphere such connections distort the maps that single grid units would express on their own, and aggregate them into clusters. When remapping to a different spherical environment, units in each cluster maintain only partial coherence, similar to what is observed in disordered materials, such as spin glasses.","lang":"eng"}],"day":"01","page":"302-313","file":[{"file_name":"2019_Hippocampus_Stella.pdf","relation":"main_file","file_size":2370658,"content_type":"application/pdf","creator":"dernst","date_updated":"2020-07-14T12:47:40Z","date_created":"2019-08-12T07:53:33Z","checksum":"7b54d22bfbfc0d1188a9ea24d985bfb2","access_level":"open_access","file_id":"6800"}],"date_published":"2020-04-01T00:00:00Z","publication_identifier":{"issn":["1050-9631"],"eissn":["1098-1063"]},"fulldoi":"https://doi.org/10.1002/hipo.23144","date_updated":"2025-05-22T11:13:25Z","ddc":["570"],"oa_version":"Published Version","year":"2020","author":[{"full_name":"Stella, Federico","last_name":"Stella","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9439-3148","first_name":"Federico"},{"first_name":"Eugenio","last_name":"Urdapilleta","full_name":"Urdapilleta, Eugenio"},{"full_name":"Luo, Yifan","last_name":"Luo","first_name":"Yifan"},{"first_name":"Alessandro","full_name":"Treves, Alessandro","last_name":"Treves"}],"has_accepted_license":"1","issue":"4","month":"04","isi":1,"department":[{"_id":"JoCs"}],"volume":30,"article_processing_charge":"No","citation":{"short":"F. Stella, E. Urdapilleta, Y. Luo, A. Treves, Hippocampus 30 (2020) 302–313.","apa":"Stella, F., Urdapilleta, E., Luo, Y., &#38; Treves, A. (2020). Partial coherence and frustration in self-organizing spherical grids. <i>Hippocampus</i>. Wiley. <a href=\"https://doi.org/10.1002/hipo.23144\">https://doi.org/10.1002/hipo.23144</a>","ista":"Stella F, Urdapilleta E, Luo Y, Treves A. 2020. Partial coherence and frustration in self-organizing spherical grids. Hippocampus. 30(4), 302–313.","mla":"Stella, Federico, et al. “Partial Coherence and Frustration in Self-Organizing Spherical Grids.” <i>Hippocampus</i>, vol. 30, no. 4, Wiley, 2020, pp. 302–13, doi:<a href=\"https://doi.org/10.1002/hipo.23144\">10.1002/hipo.23144</a>.","ama":"Stella F, Urdapilleta E, Luo Y, Treves A. Partial coherence and frustration in self-organizing spherical grids. <i>Hippocampus</i>. 2020;30(4):302-313. doi:<a href=\"https://doi.org/10.1002/hipo.23144\">10.1002/hipo.23144</a>","chicago":"Stella, Federico, Eugenio Urdapilleta, Yifan Luo, and Alessandro Treves. “Partial Coherence and Frustration in Self-Organizing Spherical Grids.” <i>Hippocampus</i>. Wiley, 2020. <a href=\"https://doi.org/10.1002/hipo.23144\">https://doi.org/10.1002/hipo.23144</a>.","ieee":"F. Stella, E. Urdapilleta, Y. Luo, and A. Treves, “Partial coherence and frustration in self-organizing spherical grids,” <i>Hippocampus</i>, vol. 30, no. 4. Wiley, pp. 302–313, 2020."},"date_created":"2019-08-11T21:59:24Z","publisher":"Wiley","article_type":"original","_id":"6796","external_id":{"isi":["000477299600001"],"pmid":["31339190"]},"intvolume":"        30","title":"Partial coherence and frustration in self-organizing spherical grids","oa":1,"file_date_updated":"2020-07-14T12:47:40Z","pmid":1,"status":"public"},{"publication":"Methods","language":[{"iso":"eng"}],"quality_controlled":"1","type":"journal_article","publication_status":"published","doi":"10.1016/j.ymeth.2019.07.019","scopus_import":"1","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","date_published":"2020-03-01T00:00:00Z","page":"27-41","day":"01","abstract":[{"lang":"eng","text":"Super-resolution fluorescence microscopy has become an important catalyst for discovery in the life sciences. In STimulated Emission Depletion (STED) microscopy, a pattern of light drives fluorophores from a signal-emitting on-state to a non-signalling off-state. Only emitters residing in a sub-diffraction volume around an intensity minimum are allowed to fluoresce, rendering them distinguishable from the nearby, but dark fluorophores. STED routinely achieves resolution in the few tens of nanometers range in biological samples and is suitable for live imaging. Here, we review the working principle of STED and provide general guidelines for successful STED imaging. The strive for ever higher resolution comes at the cost of increased light burden. We discuss techniques to reduce light exposure and mitigate its detrimental effects on the specimen. These include specialized illumination strategies as well as protecting fluorophores from photobleaching mediated by high-intensity STED light. This opens up the prospect of volumetric imaging in living cells and tissues with diffraction-unlimited resolution in all three spatial dimensions."}],"fulldoi":"https://doi.org/10.1016/j.ymeth.2019.07.019","publication_identifier":{"issn":["1046-2023"]},"project":[{"name":"Optical control of synaptic function via adhesion molecules","grant_number":"I03600","call_identifier":"FWF","_id":"265CB4D0-B435-11E9-9278-68D0E5697425"},{"_id":"2668BFA0-B435-11E9-9278-68D0E5697425","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration","grant_number":"LT00057"}],"author":[{"first_name":"Wiebke","full_name":"Jahr, Wiebke","last_name":"Jahr","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87"},{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","last_name":"Velicky","full_name":"Velicky, Philipp","orcid":"0000-0002-2340-7431","first_name":"Philipp"},{"orcid":"0000-0001-8559-3973","first_name":"Johann G","full_name":"Danzl, Johann G","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Submitted Version","year":"2020","date_updated":"2025-04-14T09:39:25Z","department":[{"_id":"JoDa"}],"main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100895/","open_access":"1"}],"month":"03","isi":1,"issue":"3","external_id":{"pmid":["31344404"],"isi":["000525860400005"]},"article_type":"original","_id":"6808","publisher":"Elsevier","volume":174,"article_processing_charge":"No","citation":{"chicago":"Jahr, Wiebke, Philipp Velicky, and Johann G Danzl. “Strategies to Maximize Performance in STimulated Emission Depletion (STED) Nanoscopy of Biological Specimens.” <i>Methods</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.ymeth.2019.07.019\">https://doi.org/10.1016/j.ymeth.2019.07.019</a>.","ieee":"W. Jahr, P. Velicky, and J. G. Danzl, “Strategies to maximize performance in STimulated Emission Depletion (STED) nanoscopy of biological specimens,” <i>Methods</i>, vol. 174, no. 3. Elsevier, pp. 27–41, 2020.","short":"W. Jahr, P. Velicky, J.G. Danzl, Methods 174 (2020) 27–41.","apa":"Jahr, W., Velicky, P., &#38; Danzl, J. G. (2020). Strategies to maximize performance in STimulated Emission Depletion (STED) nanoscopy of biological specimens. <i>Methods</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.ymeth.2019.07.019\">https://doi.org/10.1016/j.ymeth.2019.07.019</a>","ista":"Jahr W, Velicky P, Danzl JG. 2020. Strategies to maximize performance in STimulated Emission Depletion (STED) nanoscopy of biological specimens. Methods. 174(3), 27–41.","ama":"Jahr W, Velicky P, Danzl JG. Strategies to maximize performance in STimulated Emission Depletion (STED) nanoscopy of biological specimens. <i>Methods</i>. 2020;174(3):27-41. doi:<a href=\"https://doi.org/10.1016/j.ymeth.2019.07.019\">10.1016/j.ymeth.2019.07.019</a>","mla":"Jahr, Wiebke, et al. “Strategies to Maximize Performance in STimulated Emission Depletion (STED) Nanoscopy of Biological Specimens.” <i>Methods</i>, vol. 174, no. 3, Elsevier, 2020, pp. 27–41, doi:<a href=\"https://doi.org/10.1016/j.ymeth.2019.07.019\">10.1016/j.ymeth.2019.07.019</a>."},"date_created":"2019-08-12T16:36:32Z","status":"public","pmid":1,"title":"Strategies to maximize performance in STimulated Emission Depletion (STED) nanoscopy of biological specimens","intvolume":"       174","oa":1},{"department":[{"_id":"RoSe"}],"isi":1,"main_file_link":[{"url":"https://arxiv.org/abs/1812.03086","open_access":"1"}],"month":"06","acknowledgement":"We would like to thank P. T. Nam and R. Seiringer for several useful discussions and\r\nfor suggesting us to use the localization techniques from [9]. C. Boccato has received funding from the\r\nEuropean Research Council (ERC) under the programme Horizon 2020 (Grant Agreement 694227). B. Schlein gratefully acknowledges support from the NCCR SwissMAP and from the Swiss National Foundation of Science (Grant No. 200020_1726230) through the SNF Grant “Dynamical and energetic properties of Bose–Einstein condensates”.","author":[{"first_name":"Chiara","last_name":"Boccato","id":"342E7E22-F248-11E8-B48F-1D18A9856A87","full_name":"Boccato, Chiara"},{"first_name":"Christian","last_name":"Brennecke","full_name":"Brennecke, Christian"},{"first_name":"Serena","full_name":"Cenatiempo, Serena","last_name":"Cenatiempo"},{"last_name":"Schlein","full_name":"Schlein, Benjamin","first_name":"Benjamin"}],"year":"2020","oa_version":"Preprint","date_updated":"2025-04-14T07:27:00Z","arxiv":1,"status":"public","oa":1,"title":"Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime","intvolume":"       376","external_id":{"arxiv":["1812.03086"],"isi":["000536053300012"]},"_id":"6906","article_type":"original","publisher":"Springer","article_processing_charge":"No","date_created":"2019-09-24T17:30:59Z","citation":{"ista":"Boccato C, Brennecke C, Cenatiempo S, Schlein B. 2020. Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime. Communications in Mathematical Physics. 376, 1311–1395.","ama":"Boccato C, Brennecke C, Cenatiempo S, Schlein B. Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime. <i>Communications in Mathematical Physics</i>. 2020;376:1311-1395. doi:<a href=\"https://doi.org/10.1007/s00220-019-03555-9\">10.1007/s00220-019-03555-9</a>","mla":"Boccato, Chiara, et al. “Optimal Rate for Bose-Einstein Condensation in the Gross-Pitaevskii Regime.” <i>Communications in Mathematical Physics</i>, vol. 376, Springer, 2020, pp. 1311–95, doi:<a href=\"https://doi.org/10.1007/s00220-019-03555-9\">10.1007/s00220-019-03555-9</a>.","short":"C. Boccato, C. Brennecke, S. Cenatiempo, B. Schlein, Communications in Mathematical Physics 376 (2020) 1311–1395.","apa":"Boccato, C., Brennecke, C., Cenatiempo, S., &#38; Schlein, B. (2020). Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime. <i>Communications in Mathematical Physics</i>. Springer. <a href=\"https://doi.org/10.1007/s00220-019-03555-9\">https://doi.org/10.1007/s00220-019-03555-9</a>","ieee":"C. Boccato, C. Brennecke, S. Cenatiempo, and B. Schlein, “Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime,” <i>Communications in Mathematical Physics</i>, vol. 376. Springer, pp. 1311–1395, 2020.","chicago":"Boccato, Chiara, Christian Brennecke, Serena Cenatiempo, and Benjamin Schlein. “Optimal Rate for Bose-Einstein Condensation in the Gross-Pitaevskii Regime.” <i>Communications in Mathematical Physics</i>. Springer, 2020. <a href=\"https://doi.org/10.1007/s00220-019-03555-9\">https://doi.org/10.1007/s00220-019-03555-9</a>."},"volume":376,"publication_status":"published","type":"journal_article","quality_controlled":"1","scopus_import":"1","doi":"10.1007/s00220-019-03555-9","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publication":"Communications in Mathematical Physics","language":[{"iso":"eng"}],"fulldoi":"https://doi.org/10.1007/s00220-019-03555-9","ec_funded":1,"publication_identifier":{"eissn":["1432-0916"],"issn":["0010-3616"]},"project":[{"grant_number":"694227","name":"Analysis of quantum many-body systems","call_identifier":"H2020","_id":"25C6DC12-B435-11E9-9278-68D0E5697425"}],"date_published":"2020-06-01T00:00:00Z","page":"1311-1395","day":"01","abstract":[{"text":"We consider systems of bosons trapped in a box, in the Gross–Pitaevskii regime. We show that low-energy states exhibit complete Bose–Einstein condensation with an optimal bound on the number of orthogonal excitations. This extends recent results obtained in Boccato et al. (Commun Math Phys 359(3):975–1026, 2018), removing the assumption of small interaction potential.","lang":"eng"}]},{"status":"public","file_date_updated":"2020-07-14T12:47:45Z","oa":1,"intvolume":"       128","title":"KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications","external_id":{"isi":["000494406800001"]},"_id":"6944","article_type":"original","publisher":"Springer Nature","article_processing_charge":"Yes (via OA deal)","date_created":"2019-10-14T09:14:28Z","volume":128,"citation":{"chicago":"Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” <i>International Journal of Computer Vision</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s11263-019-01232-x\">https://doi.org/10.1007/s11263-019-01232-x</a>.","ieee":"R. Sun and C. Lampert, “KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications,” <i>International Journal of Computer Vision</i>, vol. 128, no. 4. Springer Nature, pp. 970–995, 2020.","apa":"Sun, R., &#38; Lampert, C. (2020). KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. <i>International Journal of Computer Vision</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s11263-019-01232-x\">https://doi.org/10.1007/s11263-019-01232-x</a>","short":"R. Sun, C. Lampert, International Journal of Computer Vision 128 (2020) 970–995.","ista":"Sun R, Lampert C. 2020. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 128(4), 970–995.","ama":"Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. <i>International Journal of Computer Vision</i>. 2020;128(4):970-995. doi:<a href=\"https://doi.org/10.1007/s11263-019-01232-x\">10.1007/s11263-019-01232-x</a>","mla":"Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” <i>International Journal of Computer Vision</i>, vol. 128, no. 4, Springer Nature, 2020, pp. 970–95, doi:<a href=\"https://doi.org/10.1007/s11263-019-01232-x\">10.1007/s11263-019-01232-x</a>."},"department":[{"_id":"ChLa"}],"isi":1,"month":"04","issue":"4","has_accepted_license":"1","author":[{"first_name":"Rémy","last_name":"Sun","full_name":"Sun, Rémy"},{"last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","first_name":"Christoph"}],"year":"2020","oa_version":"Published Version","ddc":["004"],"date_updated":"2025-04-15T07:10:25Z","fulldoi":"https://doi.org/10.1007/s11263-019-01232-x","corr_author":"1","ec_funded":1,"publication_identifier":{"eissn":["1573-1405"],"issn":["0920-5691"]},"project":[{"grant_number":"308036","name":"Lifelong Learning of Visual Scene Understanding","call_identifier":"FP7","_id":"2532554C-B435-11E9-9278-68D0E5697425"},{"_id":"B67AFEDC-15C9-11EA-A837-991A96BB2854","name":"IST Austria Open Access Fund"}],"file":[{"content_type":"application/pdf","file_size":1715072,"file_name":"2019_IJCV_Sun.pdf","relation":"main_file","creator":"dernst","date_created":"2019-11-26T10:30:02Z","date_updated":"2020-07-14T12:47:45Z","file_id":"7110","access_level":"open_access","checksum":"155e63edf664dcacb3bdc1c2223e606f"}],"date_published":"2020-04-01T00:00:00Z","page":"970-995","day":"01","abstract":[{"text":"We study the problem of automatically detecting if a given multi-class classifier operates outside of its specifications (out-of-specs), i.e. on input data from a different distribution than what it was trained for. This is an important problem to solve on the road towards creating reliable computer vision systems for real-world applications, because the quality of a classifier’s predictions cannot be guaranteed if it operates out-of-specs. Previously proposed methods for out-of-specs detection make decisions on the level of single inputs. This, however, is insufficient to achieve low false positive rate and high false negative rates at the same time. In this work, we describe a new procedure named KS(conf), based on statistical reasoning. Its main component is a classical Kolmogorov–Smirnov test that is applied to the set of predicted confidence values for batches of samples. Working with batches instead of single samples allows increasing the true positive rate without negatively affecting the false positive rate, thereby overcoming a crucial limitation of single sample tests. We show by extensive experiments using a variety of convolutional network architectures and datasets that KS(conf) reliably detects out-of-specs situations even under conditions where other tests fail. It furthermore has a number of properties that make it an excellent candidate for practical deployment: it is easy to implement, adds almost no overhead to the system, works with any classifier that outputs confidence scores, and requires no a priori knowledge about how the data distribution could change.","lang":"eng"}],"publication_status":"published","type":"journal_article","quality_controlled":"1","scopus_import":"1","doi":"10.1007/s11263-019-01232-x","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publication":"International Journal of Computer Vision","language":[{"iso":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"related_material":{"record":[{"relation":"earlier_version","id":"6482","status":"public"}],"link":[{"url":"https://doi.org/10.1007/s11263-019-01262-5","relation":"erratum"}]}},{"publisher":"Wiley","citation":{"ama":"Zhang Y, Friml J. Auxin guides roots to avoid obstacles during gravitropic growth. <i>New Phytologist</i>. 2020;225(3):1049-1052. doi:<a href=\"https://doi.org/10.1111/nph.16203\">10.1111/nph.16203</a>","ista":"Zhang Y, Friml J. 2020. Auxin guides roots to avoid obstacles during gravitropic growth. New Phytologist. 225(3), 1049–1052.","mla":"Zhang, Yuzhou, and Jiří Friml. “Auxin Guides Roots to Avoid Obstacles during Gravitropic Growth.” <i>New Phytologist</i>, vol. 225, no. 3, Wiley, 2020, pp. 1049–52, doi:<a href=\"https://doi.org/10.1111/nph.16203\">10.1111/nph.16203</a>.","short":"Y. Zhang, J. Friml, New Phytologist 225 (2020) 1049–1052.","apa":"Zhang, Y., &#38; Friml, J. (2020). Auxin guides roots to avoid obstacles during gravitropic growth. <i>New Phytologist</i>. Wiley. <a href=\"https://doi.org/10.1111/nph.16203\">https://doi.org/10.1111/nph.16203</a>","ieee":"Y. Zhang and J. Friml, “Auxin guides roots to avoid obstacles during gravitropic growth,” <i>New Phytologist</i>, vol. 225, no. 3. Wiley, pp. 1049–1052, 2020.","chicago":"Zhang, Yuzhou, and Jiří Friml. “Auxin Guides Roots to Avoid Obstacles during Gravitropic Growth.” <i>New Phytologist</i>. Wiley, 2020. <a href=\"https://doi.org/10.1111/nph.16203\">https://doi.org/10.1111/nph.16203</a>."},"volume":225,"date_created":"2019-11-12T11:41:32Z","article_processing_charge":"Yes (via OA deal)","external_id":{"isi":["000489638800001"],"pmid":["31603260"]},"article_type":"original","_id":"6997","title":"Auxin guides roots to avoid obstacles during gravitropic growth","intvolume":"       225","oa":1,"status":"public","file_date_updated":"2020-11-18T16:42:48Z","pmid":1,"ddc":["580"],"date_updated":"2025-04-14T07:45:04Z","author":[{"first_name":"Yuzhou","orcid":"0000-0003-2627-6956","full_name":"Zhang, Yuzhou","last_name":"Zhang","id":"3B6137F2-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-8302-7596","first_name":"Jiří","full_name":"Friml, Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87","last_name":"Friml"}],"oa_version":"Published Version","year":"2020","issue":"3","has_accepted_license":"1","department":[{"_id":"JiFr"}],"month":"02","isi":1,"day":"01","file":[{"relation":"main_file","file_name":"2020_NewPhytologist_Zhang.pdf","content_type":"application/pdf","file_size":717345,"success":1,"creator":"dernst","date_created":"2020-11-18T16:42:48Z","date_updated":"2020-11-18T16:42:48Z","checksum":"cd42ffdb381fd52812b9583d4d407139","file_id":"8772","access_level":"open_access"}],"date_published":"2020-02-01T00:00:00Z","page":"1049-1052","publication_identifier":{"eissn":["1469-8137"],"issn":["0028-646x"]},"project":[{"call_identifier":"H2020","grant_number":"742985","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","_id":"261099A6-B435-11E9-9278-68D0E5697425"},{"_id":"26538374-B435-11E9-9278-68D0E5697425","name":"Molecular mechanisms of endocytic cargo recognition in plants","grant_number":"I03630","call_identifier":"FWF"},{"call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"fulldoi":"https://doi.org/10.1111/nph.16203","corr_author":"1","ec_funded":1,"language":[{"iso":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"publication":"New Phytologist","doi":"10.1111/nph.16203","scopus_import":"1","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"journal_article","quality_controlled":"1","publication_status":"published"},{"department":[{"_id":"TaHa"}],"isi":1,"month":"06","main_file_link":[{"url":"https://arxiv.org/abs/1810.10402","open_access":"1"}],"date_updated":"2025-04-14T09:12:46Z","author":[{"first_name":"Miroslav","full_name":"Rapcak, Miroslav","last_name":"Rapcak"},{"full_name":"Soibelman, Yan","last_name":"Soibelman","first_name":"Yan"},{"last_name":"Yang","full_name":"Yang, Yaping","first_name":"Yaping"},{"full_name":"Zhao, Gufang","id":"2BC2AC5E-F248-11E8-B48F-1D18A9856A87","last_name":"Zhao","first_name":"Gufang"}],"oa_version":"Preprint","year":"2020","oa":1,"title":"Cohomological Hall algebras, vertex algebras and instantons","intvolume":"       376","arxiv":1,"status":"public","publisher":"Springer Nature","article_processing_charge":"No","citation":{"chicago":"Rapcak, Miroslav, Yan Soibelman, Yaping Yang, and Gufang Zhao. “Cohomological Hall Algebras, Vertex Algebras and Instantons.” <i>Communications in Mathematical Physics</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s00220-019-03575-5\">https://doi.org/10.1007/s00220-019-03575-5</a>.","ieee":"M. Rapcak, Y. Soibelman, Y. Yang, and G. Zhao, “Cohomological Hall algebras, vertex algebras and instantons,” <i>Communications in Mathematical Physics</i>, vol. 376. Springer Nature, pp. 1803–1873, 2020.","apa":"Rapcak, M., Soibelman, Y., Yang, Y., &#38; Zhao, G. (2020). Cohomological Hall algebras, vertex algebras and instantons. <i>Communications in Mathematical Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00220-019-03575-5\">https://doi.org/10.1007/s00220-019-03575-5</a>","short":"M. Rapcak, Y. Soibelman, Y. Yang, G. Zhao, Communications in Mathematical Physics 376 (2020) 1803–1873.","ista":"Rapcak M, Soibelman Y, Yang Y, Zhao G. 2020. Cohomological Hall algebras, vertex algebras and instantons. Communications in Mathematical Physics. 376, 1803–1873.","mla":"Rapcak, Miroslav, et al. “Cohomological Hall Algebras, Vertex Algebras and Instantons.” <i>Communications in Mathematical Physics</i>, vol. 376, Springer Nature, 2020, pp. 1803–73, doi:<a href=\"https://doi.org/10.1007/s00220-019-03575-5\">10.1007/s00220-019-03575-5</a>.","ama":"Rapcak M, Soibelman Y, Yang Y, Zhao G. Cohomological Hall algebras, vertex algebras and instantons. <i>Communications in Mathematical Physics</i>. 2020;376:1803-1873. doi:<a href=\"https://doi.org/10.1007/s00220-019-03575-5\">10.1007/s00220-019-03575-5</a>"},"volume":376,"date_created":"2019-11-12T14:01:27Z","external_id":{"arxiv":["1810.10402"],"isi":["000536255500004"]},"_id":"7004","article_type":"original","scopus_import":"1","doi":"10.1007/s00220-019-03575-5","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","publication_status":"published","quality_controlled":"1","type":"journal_article","language":[{"iso":"eng"}],"publication":"Communications in Mathematical Physics","publication_identifier":{"issn":["0010-3616"],"eissn":["1432-0916"]},"project":[{"name":"Arithmetic and physics of Higgs moduli spaces","grant_number":"320593","call_identifier":"FP7","_id":"25E549F4-B435-11E9-9278-68D0E5697425"}],"ec_funded":1,"fulldoi":"https://doi.org/10.1007/s00220-019-03575-5","day":"01","abstract":[{"lang":"eng","text":"We define an action of the (double of) Cohomological Hall algebra of Kontsevich and Soibelman on the cohomology of the moduli space of spiked instantons of Nekrasov. We identify this action with the one of the affine Yangian of gl(1). Based on that we derive the vertex algebra at the corner Wr1,r2,r3 of Gaiotto and Rapčák. We conjecture that our approach works for a big class of Calabi–Yau categories, including those associated with toric Calabi–Yau 3-folds."}],"date_published":"2020-06-01T00:00:00Z","page":"1803-1873"},{"title":"BAX-depleted retinal ganglion cells survive and become quiescent following optic nerve damage","intvolume":"        57","oa":1,"pmid":1,"status":"public","article_processing_charge":"No","volume":57,"date_created":"2019-11-18T14:18:39Z","citation":{"ieee":"R. Donahue, M. E. Maes, J. Grosser, and R. Nickells, “BAX-depleted retinal ganglion cells survive and become quiescent following optic nerve damage,” <i>Molecular Neurobiology</i>, vol. 57, no. 2. Springer Nature, pp. 1070–1084, 2020.","chicago":"Donahue, RJ, Margaret E Maes, JA Grosser, and RW Nickells. “BAX-Depleted Retinal Ganglion Cells Survive and Become Quiescent Following Optic Nerve Damage.” <i>Molecular Neurobiology</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s12035-019-01783-7\">https://doi.org/10.1007/s12035-019-01783-7</a>.","ista":"Donahue R, Maes ME, Grosser J, Nickells R. 2020. BAX-depleted retinal ganglion cells survive and become quiescent following optic nerve damage. Molecular Neurobiology. 57(2), 1070–1084.","mla":"Donahue, RJ, et al. “BAX-Depleted Retinal Ganglion Cells Survive and Become Quiescent Following Optic Nerve Damage.” <i>Molecular Neurobiology</i>, vol. 57, no. 2, Springer Nature, 2020, pp. 1070–1084, doi:<a href=\"https://doi.org/10.1007/s12035-019-01783-7\">10.1007/s12035-019-01783-7</a>.","ama":"Donahue R, Maes ME, Grosser J, Nickells R. BAX-depleted retinal ganglion cells survive and become quiescent following optic nerve damage. <i>Molecular Neurobiology</i>. 2020;57(2):1070–1084. doi:<a href=\"https://doi.org/10.1007/s12035-019-01783-7\">10.1007/s12035-019-01783-7</a>","apa":"Donahue, R., Maes, M. E., Grosser, J., &#38; Nickells, R. (2020). BAX-depleted retinal ganglion cells survive and become quiescent following optic nerve damage. <i>Molecular Neurobiology</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s12035-019-01783-7\">https://doi.org/10.1007/s12035-019-01783-7</a>","short":"R. Donahue, M.E. Maes, J. Grosser, R. Nickells, Molecular Neurobiology 57 (2020) 1070–1084."},"publisher":"Springer Nature","article_type":"original","_id":"7033","external_id":{"pmid":["31673950"],"isi":["000493754200001"]},"issue":"2","month":"02","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035206/","open_access":"1"}],"isi":1,"department":[{"_id":"SaSi"}],"date_updated":"2023-08-17T14:05:48Z","year":"2020","oa_version":"Submitted Version","author":[{"first_name":"RJ","last_name":"Donahue","full_name":"Donahue, RJ"},{"first_name":"Margaret E","orcid":"0000-0001-9642-1085","last_name":"Maes","id":"3838F452-F248-11E8-B48F-1D18A9856A87","full_name":"Maes, Margaret E"},{"full_name":"Grosser, JA","last_name":"Grosser","first_name":"JA"},{"first_name":"RW","full_name":"Nickells, RW","last_name":"Nickells"}],"acknowledgement":"This work was supported by National Eye Institute grants R01 EY012223 (RWN), R01 EY030123 (RWN), T32 EY027721 (Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison), and a Vision Science Core grant P30 EY016665 (Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison), an unrestricted funding grant from Research to Prevent Blindness (Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison), the Frederick A. Davis Endowment (RWN), and the Mr. and Mrs. George Taylor Foundation (RWN).","publication_identifier":{"issn":["0893-7648"],"eissn":["1559-1182"]},"fulldoi":"https://doi.org/10.1007/s12035-019-01783-7","abstract":[{"lang":"eng","text":"Removal of the Bax gene from mice completely protects the somas of retinal ganglion cells (RGCs) from apoptosis following optic nerve injury. This makes BAX a promising therapeutic target to prevent neurodegeneration. In this study, Bax+/− mice were used to test the hypothesis that lowering the quantity of BAX in RGCs would delay apoptosis following optic nerve injury. RGCs were damaged by performing optic nerve crush (ONC) and then immunostaining for phospho-cJUN, and quantitative PCR were used to monitor the status of the BAX activation mechanism in the months following injury. The apoptotic susceptibility of injured cells was directly tested by virally introducing GFP-BAX into Bax−/− RGCs after injury. The competency of quiescent RGCs to reactivate their BAX activation mechanism was tested by intravitreal injection of the JNK pathway agonist, anisomycin. Twenty-four weeks after ONC, Bax+/− mice had significantly less cell loss in their RGC layer than Bax+/+ mice 3 weeks after ONC. Bax+/− and Bax+/+ RGCs exhibited similar patterns of nuclear phospho-cJUN accumulation immediately after ONC, which persisted in Bax+/− RGCs for up to 7 weeks before abating. The transcriptional activation of BAX-activating genes was similar in Bax+/− and Bax+/+ RGCs following ONC. Intriguingly, cells deactivated their BAX activation mechanism between 7 and 12 weeks after crush. Introduction of GFP-BAX into Bax−/− cells at 4 weeks after ONC showed that these cells had a nearly normal capacity to activate this protein, but this capacity was lost 8 weeks after crush. Collectively, these data suggest that 8–12 weeks after crush, damaged cells no longer displayed increased susceptibility to BAX activation relative to their naïve counterparts. In this same timeframe, retinal glial activation and the signaling of the pro-apoptotic JNK pathway also abated. Quiescent RGCs did not show a timely reactivation of their JNK pathway following intravitreal injection with anisomycin. These findings demonstrate that lowering the quantity of BAX in RGCs is neuroprotective after acute injury. Damaged RGCs enter a quiescent state months after injury and are no longer responsive to an apoptotic stimulus. Quiescent RGCs will require rejuvenation to reacquire functionality."}],"day":"01","page":"1070–1084","date_published":"2020-02-01T00:00:00Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","doi":"10.1007/s12035-019-01783-7","scopus_import":"1","quality_controlled":"1","type":"journal_article","publication_status":"published","language":[{"iso":"eng"}],"publication":"Molecular Neurobiology"},{"publication":"SIAM Journal on Mathematical Analysis","language":[{"iso":"eng"}],"publication_status":"published","type":"journal_article","quality_controlled":"1","scopus_import":"1","doi":"10.1137/19M1243440","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-10-01T00:00:00Z","page":"2759-2802","day":"01","abstract":[{"lang":"eng","text":"We consider dynamical transport metrics for probability measures on discretisations of a bounded convex domain in ℝd. These metrics are natural discrete counterparts to the Kantorovich metric 𝕎2, defined using a Benamou-Brenier type formula. Under mild assumptions we prove an asymptotic upper bound for the discrete transport metric Wt in terms of 𝕎2, as the size of the mesh T tends to 0. However, we show that the corresponding lower bound may fail in general, even on certain one-dimensional and symmetric two-dimensional meshes. In addition, we show that the asymptotic lower bound holds under an isotropy assumption on the mesh, which turns out to be essentially necessary. This assumption is satisfied, e.g., for tilings by convex regular polygons, and it implies Gromov-Hausdorff convergence of the transport metric."}],"fulldoi":"https://doi.org/10.1137/19M1243440","publication_identifier":{"issn":["0036-1410"],"eissn":["1095-7154"]},"author":[{"full_name":"Gladbach, Peter","last_name":"Gladbach","first_name":"Peter"},{"first_name":"Eva","full_name":"Kopfer, Eva","last_name":"Kopfer"},{"full_name":"Maas, Jan","last_name":"Maas","id":"4C5696CE-F248-11E8-B48F-1D18A9856A87","first_name":"Jan","orcid":"0000-0002-0845-1338"}],"oa_version":"Preprint","year":"2020","publist_id":"7983","date_updated":"2025-07-10T11:54:14Z","department":[{"_id":"JaMa"}],"isi":1,"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1809.01092"}],"month":"10","issue":"3","external_id":{"isi":["000546975100017"],"arxiv":["1809.01092"]},"_id":"71","article_type":"original","publisher":"Society for Industrial and Applied Mathematics","article_processing_charge":"No","date_created":"2018-12-11T11:44:28Z","volume":52,"citation":{"short":"P. Gladbach, E. Kopfer, J. Maas, SIAM Journal on Mathematical Analysis 52 (2020) 2759–2802.","apa":"Gladbach, P., Kopfer, E., &#38; Maas, J. (2020). Scaling limits of discrete optimal transport. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial and Applied Mathematics. <a href=\"https://doi.org/10.1137/19M1243440\">https://doi.org/10.1137/19M1243440</a>","mla":"Gladbach, Peter, et al. “Scaling Limits of Discrete Optimal Transport.” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 3, Society for Industrial and Applied Mathematics, 2020, pp. 2759–802, doi:<a href=\"https://doi.org/10.1137/19M1243440\">10.1137/19M1243440</a>.","ama":"Gladbach P, Kopfer E, Maas J. Scaling limits of discrete optimal transport. <i>SIAM Journal on Mathematical Analysis</i>. 2020;52(3):2759-2802. doi:<a href=\"https://doi.org/10.1137/19M1243440\">10.1137/19M1243440</a>","ista":"Gladbach P, Kopfer E, Maas J. 2020. Scaling limits of discrete optimal transport. SIAM Journal on Mathematical Analysis. 52(3), 2759–2802.","chicago":"Gladbach, Peter, Eva Kopfer, and Jan Maas. “Scaling Limits of Discrete Optimal Transport.” <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial and Applied Mathematics, 2020. <a href=\"https://doi.org/10.1137/19M1243440\">https://doi.org/10.1137/19M1243440</a>.","ieee":"P. Gladbach, E. Kopfer, and J. Maas, “Scaling limits of discrete optimal transport,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 3. Society for Industrial and Applied Mathematics, pp. 2759–2802, 2020."},"arxiv":1,"status":"public","oa":1,"intvolume":"        52","title":"Scaling limits of discrete optimal transport"},{"publication":"Current Opinion in Plant Biology","language":[{"iso":"eng"}],"related_material":{"record":[{"id":"11626","relation":"dissertation_contains","status":"public"}]},"type":"journal_article","quality_controlled":"1","publication_status":"published","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","doi":"10.1016/j.pbi.2019.10.003","scopus_import":"1","page":"43-49","date_published":"2020-02-01T00:00:00Z","abstract":[{"lang":"eng","text":"The phytohormone auxin acts as an amazingly versatile coordinator of plant growth and development. With its morphogen-like properties, auxin controls sites and timing of differentiation and/or growth responses both, in quantitative and qualitative terms. Specificity in the auxin response depends largely on distinct modes of signal transmission, by which individual cells perceive and convert auxin signals into a remarkable diversity of responses. The best understood, or so-called canonical mechanism of auxin perception ultimately results in variable adjustments of the cellular transcriptome, via a short, nuclear signal transduction pathway. Additional findings that accumulated over decades implied that an additional, presumably, cell surface-based auxin perception mechanism mediates very rapid cellular responses and decisively contributes to the cell's overall hormonal response. Recent investigations into both, nuclear and cell surface auxin signalling challenged this assumed partition of roles for different auxin signalling pathways and revealed an unexpected complexity in transcriptional and non-transcriptional cellular responses mediated by auxin."}],"day":"01","ec_funded":1,"fulldoi":"https://doi.org/10.1016/j.pbi.2019.10.003","corr_author":"1","project":[{"_id":"261099A6-B435-11E9-9278-68D0E5697425","grant_number":"742985","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","call_identifier":"H2020"}],"publication_identifier":{"eissn":["1879-0356"],"issn":["1369-5266"]},"year":"2020","oa_version":"None","author":[{"orcid":"0000-0003-1286-7368","first_name":"Michelle C","last_name":"Gallei","id":"35A03822-F248-11E8-B48F-1D18A9856A87","full_name":"Gallei, Michelle C"},{"first_name":"Christian","full_name":"Luschnig, Christian","last_name":"Luschnig"},{"id":"4159519E-F248-11E8-B48F-1D18A9856A87","last_name":"Friml","full_name":"Friml, Jiří","first_name":"Jiří","orcid":"0000-0002-8302-7596"}],"acknowledgement":"Research in J.F. laboratory is funded by the European Union's Horizon 2020 program (ERC grant agreement n° 742985); C.L. is supported by the Austrian Science Fund (FWF grant P 31493).","date_updated":"2026-04-07T14:18:57Z","month":"02","isi":1,"department":[{"_id":"JiFr"}],"issue":"2","article_type":"original","_id":"7142","external_id":{"isi":["000521120600007"],"pmid":["31760231"]},"article_processing_charge":"No","citation":{"chicago":"Gallei, Michelle C, Christian Luschnig, and Jiří Friml. “Auxin Signalling in Growth: Schrödinger’s Cat out of the Bag.” <i>Current Opinion in Plant Biology</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.pbi.2019.10.003\">https://doi.org/10.1016/j.pbi.2019.10.003</a>.","ieee":"M. C. Gallei, C. Luschnig, and J. Friml, “Auxin signalling in growth: Schrödinger’s cat out of the bag,” <i>Current Opinion in Plant Biology</i>, vol. 53, no. 2. Elsevier, pp. 43–49, 2020.","apa":"Gallei, M. C., Luschnig, C., &#38; Friml, J. (2020). Auxin signalling in growth: Schrödinger’s cat out of the bag. <i>Current Opinion in Plant Biology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.pbi.2019.10.003\">https://doi.org/10.1016/j.pbi.2019.10.003</a>","short":"M.C. Gallei, C. Luschnig, J. Friml, Current Opinion in Plant Biology 53 (2020) 43–49.","mla":"Gallei, Michelle C., et al. “Auxin Signalling in Growth: Schrödinger’s Cat out of the Bag.” <i>Current Opinion in Plant Biology</i>, vol. 53, no. 2, Elsevier, 2020, pp. 43–49, doi:<a href=\"https://doi.org/10.1016/j.pbi.2019.10.003\">10.1016/j.pbi.2019.10.003</a>.","ama":"Gallei MC, Luschnig C, Friml J. Auxin signalling in growth: Schrödinger’s cat out of the bag. <i>Current Opinion in Plant Biology</i>. 2020;53(2):43-49. doi:<a href=\"https://doi.org/10.1016/j.pbi.2019.10.003\">10.1016/j.pbi.2019.10.003</a>","ista":"Gallei MC, Luschnig C, Friml J. 2020. Auxin signalling in growth: Schrödinger’s cat out of the bag. Current Opinion in Plant Biology. 53(2), 43–49."},"date_created":"2019-12-02T12:05:26Z","volume":53,"publisher":"Elsevier","pmid":1,"status":"public","title":"Auxin signalling in growth: Schrödinger's cat out of the bag","intvolume":"        53"},{"abstract":[{"text":"In the cerebellum, GluD2 is exclusively expressed in Purkinje cells, where it regulates synapse formation and regeneration, synaptic plasticity, and motor learning. Delayed cognitive development in humans with GluD2 gene mutations suggests extracerebellar functions of GluD2. However, extracerebellar expression of GluD2 and its relationship with that of GluD1 are poorly understood. GluD2 mRNA and protein were widely detected, with relatively high levels observed in the olfactory glomerular layer, medial prefrontal cortex, cingulate cortex, retrosplenial granular cortex, olfactory tubercle, subiculum, striatum, lateral septum, anterodorsal thalamic nucleus, and arcuate hypothalamic nucleus. These regions were also enriched for GluD1, and many individual neurons coexpressed the two GluDs. In the retrosplenial granular cortex, GluD1 and GluD2 were selectively expressed at PSD‐95‐expressing glutamatergic synapses, and their coexpression on the same synapses was shown by SDS‐digested freeze‐fracture replica labeling. Biochemically, GluD1 and GluD2 formed coimmunoprecipitable complex formation in HEK293T cells and in the cerebral cortex and hippocampus. We further estimated the relative protein amount by quantitative immunoblotting using GluA2/GluD2 and GluA2/GluD1 chimeric proteins as standards for titration of GluD1 and GluD2 antibodies. Intriguingly, the relative amount of GluD2 was almost comparable to that of GluD1 in the postsynaptic density fraction prepared from the cerebral cortex and hippocampus. In contrast, GluD2 was overwhelmingly predominant in the cerebellum. Thus, we have determined the relative extracerebellar expression of GluD1 and GluD2 at regional, neuronal, and synaptic levels. These data provide a molecular–anatomical basis for possible competitive and cooperative interactions of GluD family members at synapses in various brain regions.","lang":"eng"}],"day":"01","page":"1003-1027","date_published":"2020-04-01T00:00:00Z","publication_identifier":{"issn":["0021-9967"],"eissn":["1096-9861"]},"fulldoi":"https://doi.org/10.1002/cne.24792","language":[{"iso":"eng"}],"publication":"Journal of Comparative Neurology","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","scopus_import":"1","doi":"10.1002/cne.24792","publication_status":"published","type":"journal_article","quality_controlled":"1","citation":{"short":"C. Nakamoto, K. Konno, T. Miyazaki, E. Nakatsukasa, R. Natsume, M. Abe, M. Kawamura, Y. Fukazawa, R. Shigemoto, M. Yamasaki, K. Sakimura, M. Watanabe, Journal of Comparative Neurology 528 (2020) 1003–1027.","apa":"Nakamoto, C., Konno, K., Miyazaki, T., Nakatsukasa, E., Natsume, R., Abe, M., … Watanabe, M. (2020). Expression mapping, quantification, and complex formation of GluD1 and GluD2 glutamate receptors in adult mouse brain. <i>Journal of Comparative Neurology</i>. Wiley. <a href=\"https://doi.org/10.1002/cne.24792\">https://doi.org/10.1002/cne.24792</a>","ista":"Nakamoto C, Konno K, Miyazaki T, Nakatsukasa E, Natsume R, Abe M, Kawamura M, Fukazawa Y, Shigemoto R, Yamasaki M, Sakimura K, Watanabe M. 2020. Expression mapping, quantification, and complex formation of GluD1 and GluD2 glutamate receptors in adult mouse brain. Journal of Comparative Neurology. 528(6), 1003–1027.","ama":"Nakamoto C, Konno K, Miyazaki T, et al. Expression mapping, quantification, and complex formation of GluD1 and GluD2 glutamate receptors in adult mouse brain. <i>Journal of Comparative Neurology</i>. 2020;528(6):1003-1027. doi:<a href=\"https://doi.org/10.1002/cne.24792\">10.1002/cne.24792</a>","mla":"Nakamoto, Chihiro, et al. “Expression Mapping, Quantification, and Complex Formation of GluD1 and GluD2 Glutamate Receptors in Adult Mouse Brain.” <i>Journal of Comparative Neurology</i>, vol. 528, no. 6, Wiley, 2020, pp. 1003–27, doi:<a href=\"https://doi.org/10.1002/cne.24792\">10.1002/cne.24792</a>.","chicago":"Nakamoto, Chihiro, Kohtarou Konno, Taisuke Miyazaki, Ena Nakatsukasa, Rie Natsume, Manabu Abe, Meiko Kawamura, et al. “Expression Mapping, Quantification, and Complex Formation of GluD1 and GluD2 Glutamate Receptors in Adult Mouse Brain.” <i>Journal of Comparative Neurology</i>. Wiley, 2020. <a href=\"https://doi.org/10.1002/cne.24792\">https://doi.org/10.1002/cne.24792</a>.","ieee":"C. Nakamoto <i>et al.</i>, “Expression mapping, quantification, and complex formation of GluD1 and GluD2 glutamate receptors in adult mouse brain,” <i>Journal of Comparative Neurology</i>, vol. 528, no. 6. Wiley, pp. 1003–1027, 2020."},"volume":528,"date_created":"2019-12-04T16:09:29Z","article_processing_charge":"No","publisher":"Wiley","_id":"7148","article_type":"original","external_id":{"isi":["000496410200001"],"pmid":["31625608"]},"title":"Expression mapping, quantification, and complex formation of GluD1 and GluD2 glutamate receptors in adult mouse brain","intvolume":"       528","pmid":1,"status":"public","date_updated":"2023-08-17T14:06:50Z","ddc":["571","599"],"oa_version":"None","year":"2020","acknowledgement":"This study was supported by Grants-in-Aid for Scientific Research to K.K. (18K06813), Y.M. (17K08503, 17H0631319), and K.S. (16H04650) and a grant for Scientific Research on Innovative Areas to K.S (16H06276) from the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT). We thank K. Akashi, I. Watanabe-Iida, Y. Suzuki, and H. Azechi for technical assistance and advice, and H. Uchida for valuable discussions. We thank E. Kushiya,I. Yabe, C. Ohori, Y. Mochizuki, Y. Ishikawa, and N. Ishimoto for technical assistance in generating GluD1-KO mice.","author":[{"last_name":"Nakamoto","full_name":"Nakamoto, Chihiro","first_name":"Chihiro"},{"first_name":"Kohtarou","full_name":"Konno, Kohtarou","last_name":"Konno"},{"full_name":"Miyazaki, Taisuke","last_name":"Miyazaki","first_name":"Taisuke"},{"first_name":"Ena","full_name":"Nakatsukasa, Ena","last_name":"Nakatsukasa"},{"full_name":"Natsume, Rie","last_name":"Natsume","first_name":"Rie"},{"first_name":"Manabu","full_name":"Abe, Manabu","last_name":"Abe"},{"first_name":"Meiko","last_name":"Kawamura","full_name":"Kawamura, Meiko"},{"first_name":"Yugo","full_name":"Fukazawa, Yugo","last_name":"Fukazawa"},{"last_name":"Shigemoto","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","full_name":"Shigemoto, Ryuichi","first_name":"Ryuichi","orcid":"0000-0001-8761-9444"},{"first_name":"Miwako","full_name":"Yamasaki, Miwako","last_name":"Yamasaki"},{"full_name":"Sakimura, Kenji","last_name":"Sakimura","first_name":"Kenji"},{"first_name":"Masahiko","last_name":"Watanabe","full_name":"Watanabe, Masahiko"}],"has_accepted_license":"1","issue":"6","isi":1,"month":"04","department":[{"_id":"RySh"}]},{"publication":"Clinical Genetics","language":[{"iso":"eng"}],"publication_status":"published","quality_controlled":"1","type":"journal_article","scopus_import":"1","doi":"10.1111/cge.13674","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","date_published":"2020-01-01T00:00:00Z","page":"3-11","day":"01","abstract":[{"lang":"eng","text":"In recent years, many genes have been associated with chromatinopathies classified as “Cornelia de Lange Syndrome‐like.” It is known that the phenotype of these patients becomes less recognizable, overlapping to features characteristic of other syndromes caused by genetic variants affecting different regulators of chromatin structure and function. Therefore, Cornelia de Lange syndrome diagnosis might be arduous due to the seldom discordance between unexpected molecular diagnosis and clinical evaluation. Here, we review the molecular features of Cornelia de Lange syndrome, supporting the hypothesis that “CdLS‐like syndromes” are part of a larger “rare disease family” sharing multiple clinical features and common disrupted molecular pathways."}],"fulldoi":"https://doi.org/10.1111/cge.13674","publication_identifier":{"eissn":["1399-0004"],"issn":["0009-9163"]},"author":[{"last_name":"Avagliano","full_name":"Avagliano, Laura","first_name":"Laura"},{"first_name":"Ilaria","full_name":"Parenti, Ilaria","id":"D93538B0-5B71-11E9-AC62-02EBE5697425","last_name":"Parenti"},{"full_name":"Grazioli, Paolo","last_name":"Grazioli","first_name":"Paolo"},{"last_name":"Di Fede","full_name":"Di Fede, Elisabetta","first_name":"Elisabetta"},{"last_name":"Parodi","full_name":"Parodi, Chiara","first_name":"Chiara"},{"first_name":"Milena","full_name":"Mariani, Milena","last_name":"Mariani"},{"first_name":"Frank J.","full_name":"Kaiser, Frank J.","last_name":"Kaiser"},{"first_name":"Angelo","last_name":"Selicorni","full_name":"Selicorni, Angelo"},{"last_name":"Gervasini","full_name":"Gervasini, Cristina","first_name":"Cristina"},{"first_name":"Valentina","full_name":"Massa, Valentina","last_name":"Massa"}],"acknowledgement":" Dipartimento DiSS, Università degli Studi di Milano, Grant/Award Number: Linea 2; Fondazione Cariplo, Grant/Award Number: 2015-0783; German Federal Ministry of Education and Research (BMBF), Grant/Award Number: CHROMATIN-Net; Medical Faculty of the University of Lübeck, Grant/Award Number: J09-2017; Nickel & Co S.p.A.; Università degli Studi di Milano, Grant/Award Numbers: Molecular & Translational Medicine PhD Scholarship, Translational Medicine PhD Scholarship","year":"2020","oa_version":"None","date_updated":"2023-08-17T14:06:20Z","department":[{"_id":"GaNo"}],"isi":1,"month":"01","issue":"1","external_id":{"pmid":["31721174"],"isi":["000562561800001"]},"_id":"7149","article_type":"review","publisher":"Wiley","date_created":"2019-12-04T16:10:59Z","volume":97,"citation":{"chicago":"Avagliano, Laura, Ilaria Parenti, Paolo Grazioli, Elisabetta Di Fede, Chiara Parodi, Milena Mariani, Frank J. Kaiser, Angelo Selicorni, Cristina Gervasini, and Valentina Massa. “Chromatinopathies: A Focus on Cornelia de Lange Syndrome.” <i>Clinical Genetics</i>. Wiley, 2020. <a href=\"https://doi.org/10.1111/cge.13674\">https://doi.org/10.1111/cge.13674</a>.","ieee":"L. Avagliano <i>et al.</i>, “Chromatinopathies: A focus on Cornelia de Lange syndrome,” <i>Clinical Genetics</i>, vol. 97, no. 1. Wiley, pp. 3–11, 2020.","short":"L. Avagliano, I. Parenti, P. Grazioli, E. Di Fede, C. Parodi, M. Mariani, F.J. Kaiser, A. Selicorni, C. Gervasini, V. Massa, Clinical Genetics 97 (2020) 3–11.","apa":"Avagliano, L., Parenti, I., Grazioli, P., Di Fede, E., Parodi, C., Mariani, M., … Massa, V. (2020). Chromatinopathies: A focus on Cornelia de Lange syndrome. <i>Clinical Genetics</i>. Wiley. <a href=\"https://doi.org/10.1111/cge.13674\">https://doi.org/10.1111/cge.13674</a>","ama":"Avagliano L, Parenti I, Grazioli P, et al. Chromatinopathies: A focus on Cornelia de Lange syndrome. <i>Clinical Genetics</i>. 2020;97(1):3-11. doi:<a href=\"https://doi.org/10.1111/cge.13674\">10.1111/cge.13674</a>","mla":"Avagliano, Laura, et al. “Chromatinopathies: A Focus on Cornelia de Lange Syndrome.” <i>Clinical Genetics</i>, vol. 97, no. 1, Wiley, 2020, pp. 3–11, doi:<a href=\"https://doi.org/10.1111/cge.13674\">10.1111/cge.13674</a>.","ista":"Avagliano L, Parenti I, Grazioli P, Di Fede E, Parodi C, Mariani M, Kaiser FJ, Selicorni A, Gervasini C, Massa V. 2020. Chromatinopathies: A focus on Cornelia de Lange syndrome. Clinical Genetics. 97(1), 3–11."},"article_processing_charge":"No","status":"public","pmid":1,"intvolume":"        97","title":"Chromatinopathies: A focus on Cornelia de Lange syndrome"}]