--- _id: '9121' abstract: - lang: eng text: "We show that the energy gap for the BCS gap equation is\r\nΞ=μ(8e−2+o(1))exp(π2μ−−√a)\r\nin the low density limit μ→0. Together with the similar result for the critical temperature by Hainzl and Seiringer (Lett Math Phys 84: 99–107, 2008), this shows that, in the low density limit, the ratio of the energy gap and critical temperature is a universal constant independent of the interaction potential V. The results hold for a class of potentials with negative scattering length a and no bound states." acknowledgement: "Most of this work was done as part of the author’s master’s thesis. The author would like to thank Jan Philip Solovej for his supervision of this process.\r\nOpen Access funding provided by Institute of Science and Technology (IST Austria)" article_number: '20' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Asbjørn Bækgaard full_name: Lauritsen, Asbjørn Bækgaard id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1 last_name: Lauritsen orcid: 0000-0003-4476-2288 citation: ama: Lauritsen AB. The BCS energy gap at low density. Letters in Mathematical Physics. 2021;111. doi:10.1007/s11005-021-01358-5 apa: Lauritsen, A. B. (2021). The BCS energy gap at low density. Letters in Mathematical Physics. Springer Nature. https://doi.org/10.1007/s11005-021-01358-5 chicago: Lauritsen, Asbjørn Bækgaard. “The BCS Energy Gap at Low Density.” Letters in Mathematical Physics. Springer Nature, 2021. https://doi.org/10.1007/s11005-021-01358-5. ieee: A. B. Lauritsen, “The BCS energy gap at low density,” Letters in Mathematical Physics, vol. 111. Springer Nature, 2021. ista: Lauritsen AB. 2021. The BCS energy gap at low density. Letters in Mathematical Physics. 111, 20. mla: Lauritsen, Asbjørn Bækgaard. “The BCS Energy Gap at Low Density.” Letters in Mathematical Physics, vol. 111, 20, Springer Nature, 2021, doi:10.1007/s11005-021-01358-5. short: A.B. Lauritsen, Letters in Mathematical Physics 111 (2021). date_created: 2021-02-15T09:27:14Z date_published: 2021-02-12T00:00:00Z date_updated: 2023-09-05T15:17:16Z day: '12' ddc: - '510' department: - _id: GradSch doi: 10.1007/s11005-021-01358-5 external_id: isi: - '000617531900001' file: - access_level: open_access checksum: eaf1b3ff5026f120f0929a5c417dc842 content_type: application/pdf creator: dernst date_created: 2021-02-15T09:31:07Z date_updated: 2021-02-15T09:31:07Z file_id: '9122' file_name: 2021_LettersMathPhysics_Lauritsen.pdf file_size: 329332 relation: main_file success: 1 file_date_updated: 2021-02-15T09:31:07Z has_accepted_license: '1' intvolume: ' 111' isi: 1 keyword: - Mathematical Physics - Statistical and Nonlinear Physics language: - iso: eng month: '02' oa: 1 oa_version: Published Version project: - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund publication: Letters in Mathematical Physics publication_identifier: eissn: - 1573-0530 issn: - 0377-9017 publication_status: published publisher: Springer Nature quality_controlled: '1' status: public title: The BCS energy gap at low density tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 111 year: '2021' ... --- _id: '9234' abstract: - lang: eng text: In this paper, we present two new inertial projection-type methods for solving multivalued variational inequality problems in finite-dimensional spaces. We establish the convergence of the sequence generated by these methods when the multivalued mapping associated with the problem is only required to be locally bounded without any monotonicity assumption. Furthermore, the inertial techniques that we employ in this paper are quite different from the ones used in most papers. Moreover, based on the weaker assumptions on the inertial factor in our methods, we derive several special cases of our methods. Finally, we present some experimental results to illustrate the profits that we gain by introducing the inertial extrapolation steps. acknowledgement: 'The authors sincerely thank the Editor-in-Chief and anonymous referees for their careful reading, constructive comments and fruitful suggestions that help improve the manuscript. The research of the first author is supported by the National Research Foundation (NRF) South Africa (S& F-DSI/NRF Free Standing Postdoctoral Fellowship; Grant Number: 120784). The first author also acknowledges the financial support from DSI/NRF, South Africa Center of Excellence in Mathematical and Statistical Sciences (CoE-MaSS) Postdoctoral Fellowship. The second author has received funding from the European Research Council (ERC) under the European Union’s Seventh Framework Program (FP7 - 2007-2013) (Grant agreement No. 616160). Open Access funding provided by Institute of Science and Technology (IST Austria).' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Chinedu full_name: Izuchukwu, Chinedu last_name: Izuchukwu - first_name: Yekini full_name: Shehu, Yekini id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87 last_name: Shehu orcid: 0000-0001-9224-7139 citation: ama: Izuchukwu C, Shehu Y. New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity. Networks and Spatial Economics. 2021;21(2):291-323. doi:10.1007/s11067-021-09517-w apa: Izuchukwu, C., & Shehu, Y. (2021). New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity. Networks and Spatial Economics. Springer Nature. https://doi.org/10.1007/s11067-021-09517-w chicago: Izuchukwu, Chinedu, and Yekini Shehu. “New Inertial Projection Methods for Solving Multivalued Variational Inequality Problems beyond Monotonicity.” Networks and Spatial Economics. Springer Nature, 2021. https://doi.org/10.1007/s11067-021-09517-w. ieee: C. Izuchukwu and Y. Shehu, “New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity,” Networks and Spatial Economics, vol. 21, no. 2. Springer Nature, pp. 291–323, 2021. ista: Izuchukwu C, Shehu Y. 2021. New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity. Networks and Spatial Economics. 21(2), 291–323. mla: Izuchukwu, Chinedu, and Yekini Shehu. “New Inertial Projection Methods for Solving Multivalued Variational Inequality Problems beyond Monotonicity.” Networks and Spatial Economics, vol. 21, no. 2, Springer Nature, 2021, pp. 291–323, doi:10.1007/s11067-021-09517-w. short: C. Izuchukwu, Y. Shehu, Networks and Spatial Economics 21 (2021) 291–323. date_created: 2021-03-10T12:18:47Z date_published: 2021-06-01T00:00:00Z date_updated: 2023-09-05T15:32:32Z day: '01' ddc: - '510' department: - _id: VlKo doi: 10.1007/s11067-021-09517-w ec_funded: 1 external_id: isi: - '000625002100001' file: - access_level: open_access checksum: 22b4253a2e5da843622a2df713784b4c content_type: application/pdf creator: kschuh date_created: 2021-08-11T12:44:16Z date_updated: 2021-08-11T12:44:16Z file_id: '9884' file_name: 2021_NetworksSpatialEconomics_Shehu.pdf file_size: 834964 relation: main_file success: 1 file_date_updated: 2021-08-11T12:44:16Z has_accepted_license: '1' intvolume: ' 21' isi: 1 issue: '2' keyword: - Computer Networks and Communications - Software - Artificial Intelligence language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 291-323 project: - _id: 25FBA906-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '616160' name: 'Discrete Optimization in Computer Vision: Theory and Practice' - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund publication: Networks and Spatial Economics publication_identifier: eissn: - 1572-9427 issn: - 1566-113X publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 21 year: '2021' ... --- _id: '9111' abstract: - lang: eng text: 'We study the probabilistic convergence between the mapper graph and the Reeb graph of a topological space X equipped with a continuous function f:X→R. We first give a categorification of the mapper graph and the Reeb graph by interpreting them in terms of cosheaves and stratified covers of the real line R. We then introduce a variant of the classic mapper graph of Singh et al. (in: Eurographics symposium on point-based graphics, 2007), referred to as the enhanced mapper graph, and demonstrate that such a construction approximates the Reeb graph of (X,f) when it is applied to points randomly sampled from a probability density function concentrated on (X,f). Our techniques are based on the interleaving distance of constructible cosheaves and topological estimation via kernel density estimates. Following Munch and Wang (In: 32nd international symposium on computational geometry, volume 51 of Leibniz international proceedings in informatics (LIPIcs), Dagstuhl, Germany, pp 53:1–53:16, 2016), we first show that the mapper graph of (X,f), a constructible R-space (with a fixed open cover), approximates the Reeb graph of the same space. We then construct an isomorphism between the mapper of (X,f) to the mapper of a super-level set of a probability density function concentrated on (X,f). Finally, building on the approach of Bobrowski et al. (Bernoulli 23(1):288–328, 2017b), we show that, with high probability, we can recover the mapper of the super-level set given a sufficiently large sample. Our work is the first to consider the mapper construction using the theory of cosheaves in a probabilistic setting. It is part of an ongoing effort to combine sheaf theory, probability, and statistics, to support topological data analysis with random data.' acknowledgement: "AB was supported in part by the European Union’s Horizon 2020 research and innovation\r\nprogramme under the Marie Sklodowska-Curie GrantAgreement No. 754411 and NSF IIS-1513616. OB was supported in part by the Israel Science Foundation, Grant 1965/19. BW was supported in part by NSF IIS-1513616 and DBI-1661375. EM was supported in part by NSF CMMI-1800466, DMS-1800446, and CCF-1907591.We would like to thank the Institute for Mathematics and its Applications for hosting a workshop titled Bridging Statistics and Sheaves in May 2018, where this work was conceived.\r\nOpen Access funding provided by Institute of Science and Technology (IST Austria)." article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Adam full_name: Brown, Adam id: 70B7FDF6-608D-11E9-9333-8535E6697425 last_name: Brown - first_name: Omer full_name: Bobrowski, Omer last_name: Bobrowski - first_name: Elizabeth full_name: Munch, Elizabeth last_name: Munch - first_name: Bei full_name: Wang, Bei last_name: Wang citation: ama: Brown A, Bobrowski O, Munch E, Wang B. Probabilistic convergence and stability of random mapper graphs. Journal of Applied and Computational Topology. 2021;5(1):99-140. doi:10.1007/s41468-020-00063-x apa: Brown, A., Bobrowski, O., Munch, E., & Wang, B. (2021). Probabilistic convergence and stability of random mapper graphs. Journal of Applied and Computational Topology. Springer Nature. https://doi.org/10.1007/s41468-020-00063-x chicago: Brown, Adam, Omer Bobrowski, Elizabeth Munch, and Bei Wang. “Probabilistic Convergence and Stability of Random Mapper Graphs.” Journal of Applied and Computational Topology. Springer Nature, 2021. https://doi.org/10.1007/s41468-020-00063-x. ieee: A. Brown, O. Bobrowski, E. Munch, and B. Wang, “Probabilistic convergence and stability of random mapper graphs,” Journal of Applied and Computational Topology, vol. 5, no. 1. Springer Nature, pp. 99–140, 2021. ista: Brown A, Bobrowski O, Munch E, Wang B. 2021. Probabilistic convergence and stability of random mapper graphs. Journal of Applied and Computational Topology. 5(1), 99–140. mla: Brown, Adam, et al. “Probabilistic Convergence and Stability of Random Mapper Graphs.” Journal of Applied and Computational Topology, vol. 5, no. 1, Springer Nature, 2021, pp. 99–140, doi:10.1007/s41468-020-00063-x. short: A. Brown, O. Bobrowski, E. Munch, B. Wang, Journal of Applied and Computational Topology 5 (2021) 99–140. date_created: 2021-02-11T14:41:02Z date_published: 2021-03-01T00:00:00Z date_updated: 2023-09-05T15:37:56Z day: '01' ddc: - '510' department: - _id: HeEd doi: 10.1007/s41468-020-00063-x ec_funded: 1 external_id: arxiv: - '1909.03488' file: - access_level: open_access checksum: 3f02e9d47c428484733da0f588a3c069 content_type: application/pdf creator: dernst date_created: 2021-02-11T14:43:59Z date_updated: 2021-02-11T14:43:59Z file_id: '9112' file_name: 2020_JourApplCompTopology_Brown.pdf file_size: 2090265 relation: main_file success: 1 file_date_updated: 2021-02-11T14:43:59Z has_accepted_license: '1' intvolume: ' 5' issue: '1' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 99-140 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Journal of Applied and Computational Topology publication_identifier: eissn: - 2367-1734 issn: - 2367-1726 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Probabilistic convergence and stability of random mapper graphs tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 5 year: '2021' ... --- _id: '9252' abstract: - lang: eng text: 'This paper analyses the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat‐dependent directional selection. Our analysis is based on the diffusion approximation and accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.' acknowledgement: We thank the reviewers for their helpful comments, and also our colleagues, for illuminating discussions over the long gestation of this paper. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Eniko full_name: Szep, Eniko id: 485BB5A4-F248-11E8-B48F-1D18A9856A87 last_name: Szep - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Szep E, Sachdeva H, Barton NH. Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary model. Evolution. 2021;75(5):1030-1045. doi:10.1111/evo.14210' apa: 'Szep, E., Sachdeva, H., & Barton, N. H. (2021). Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary model. Evolution. Wiley. https://doi.org/10.1111/evo.14210' chicago: 'Szep, Eniko, Himani Sachdeva, and Nicholas H Barton. “Polygenic Local Adaptation in Metapopulations: A Stochastic Eco‐evolutionary Model.” Evolution. Wiley, 2021. https://doi.org/10.1111/evo.14210.' ieee: 'E. Szep, H. Sachdeva, and N. H. Barton, “Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary model,” Evolution, vol. 75, no. 5. Wiley, pp. 1030–1045, 2021.' ista: 'Szep E, Sachdeva H, Barton NH. 2021. Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary model. Evolution. 75(5), 1030–1045.' mla: 'Szep, Eniko, et al. “Polygenic Local Adaptation in Metapopulations: A Stochastic Eco‐evolutionary Model.” Evolution, vol. 75, no. 5, Wiley, 2021, pp. 1030–45, doi:10.1111/evo.14210.' short: E. Szep, H. Sachdeva, N.H. Barton, Evolution 75 (2021) 1030–1045. date_created: 2021-03-20T08:22:10Z date_published: 2021-05-01T00:00:00Z date_updated: 2023-09-05T15:44:06Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/evo.14210 external_id: isi: - '000636966300001' file: - access_level: open_access checksum: b90fb5767d623602046fed03725e16ca content_type: application/pdf creator: kschuh date_created: 2021-08-11T13:39:19Z date_updated: 2021-08-11T13:39:19Z file_id: '9886' file_name: 2021_Evolution_Szep.pdf file_size: 734102 relation: main_file success: 1 file_date_updated: 2021-08-11T13:39:19Z has_accepted_license: '1' intvolume: ' 75' isi: 1 issue: '5' keyword: - Genetics - Ecology - Evolution - Behavior and Systematics - General Agricultural and Biological Sciences language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '05' oa: 1 oa_version: Published Version page: 1030-1045 publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '13062' relation: research_data status: public scopus_import: '1' status: public title: 'Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary model' tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 75 year: '2021' ... --- _id: '9374' abstract: - lang: eng text: If there are no constraints on the process of speciation, then the number of species might be expected to match the number of available niches and this number might be indefinitely large. One possible constraint is the opportunity for allopatric divergence. In 1981, Felsenstein used a simple and elegant model to ask if there might also be genetic constraints. He showed that progress towards speciation could be described by the build‐up of linkage disequilibrium among divergently selected loci and between these loci and those contributing to other forms of reproductive isolation. Therefore, speciation is opposed by recombination, because it tends to break down linkage disequilibria. Felsenstein then introduced a crucial distinction between “two‐allele” models, which are subject to this effect, and “one‐allele” models, which are free from the recombination constraint. These fundamentally important insights have been the foundation for both empirical and theoretical studies of speciation ever since. acknowledgement: RKB was funded by the Natural Environment Research Council (NE/P012272/1 & NE/P001610/1), the European Research Council (693030 BARRIERS), and the Swedish Research Council (VR) (2018‐03695). MRS was funded by the National Science Foundation (Grant No. DEB1939290). article_processing_charge: No article_type: original author: - first_name: Roger K. full_name: Butlin, Roger K. last_name: Butlin - first_name: Maria R. full_name: Servedio, Maria R. last_name: Servedio - first_name: Carole M. full_name: Smadja, Carole M. last_name: Smadja - first_name: Claudia full_name: Bank, Claudia last_name: Bank - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Samuel M. full_name: Flaxman, Samuel M. last_name: Flaxman - first_name: Tatiana full_name: Giraud, Tatiana last_name: Giraud - first_name: Robin full_name: Hopkins, Robin last_name: Hopkins - first_name: Erica L. full_name: Larson, Erica L. last_name: Larson - first_name: Martine E. full_name: Maan, Martine E. last_name: Maan - first_name: Joana full_name: Meier, Joana last_name: Meier - first_name: Richard full_name: Merrill, Richard last_name: Merrill - first_name: Mohamed A. F. full_name: Noor, Mohamed A. F. last_name: Noor - first_name: Daniel full_name: Ortiz‐Barrientos, Daniel last_name: Ortiz‐Barrientos - first_name: Anna full_name: Qvarnström, Anna last_name: Qvarnström citation: ama: Butlin RK, Servedio MR, Smadja CM, et al. Homage to Felsenstein 1981, or why are there so few/many species? Evolution. 2021;75(5):978-988. doi:10.1111/evo.14235 apa: Butlin, R. K., Servedio, M. R., Smadja, C. M., Bank, C., Barton, N. H., Flaxman, S. M., … Qvarnström, A. (2021). Homage to Felsenstein 1981, or why are there so few/many species? Evolution. Wiley. https://doi.org/10.1111/evo.14235 chicago: Butlin, Roger K., Maria R. Servedio, Carole M. Smadja, Claudia Bank, Nicholas H Barton, Samuel M. Flaxman, Tatiana Giraud, et al. “Homage to Felsenstein 1981, or Why Are There so Few/Many Species?” Evolution. Wiley, 2021. https://doi.org/10.1111/evo.14235. ieee: R. K. Butlin et al., “Homage to Felsenstein 1981, or why are there so few/many species?,” Evolution, vol. 75, no. 5. Wiley, pp. 978–988, 2021. ista: Butlin RK, Servedio MR, Smadja CM, Bank C, Barton NH, Flaxman SM, Giraud T, Hopkins R, Larson EL, Maan ME, Meier J, Merrill R, Noor MAF, Ortiz‐Barrientos D, Qvarnström A. 2021. Homage to Felsenstein 1981, or why are there so few/many species? Evolution. 75(5), 978–988. mla: Butlin, Roger K., et al. “Homage to Felsenstein 1981, or Why Are There so Few/Many Species?” Evolution, vol. 75, no. 5, Wiley, 2021, pp. 978–88, doi:10.1111/evo.14235. short: R.K. Butlin, M.R. Servedio, C.M. Smadja, C. Bank, N.H. Barton, S.M. Flaxman, T. Giraud, R. Hopkins, E.L. Larson, M.E. Maan, J. Meier, R. Merrill, M.A.F. Noor, D. Ortiz‐Barrientos, A. Qvarnström, Evolution 75 (2021) 978–988. date_created: 2021-05-06T04:34:47Z date_published: 2021-04-19T00:00:00Z date_updated: 2023-09-05T15:44:33Z day: '19' department: - _id: NiBa doi: 10.1111/evo.14235 external_id: isi: - '000647224000001' intvolume: ' 75' isi: 1 issue: '5' keyword: - Genetics - Ecology - Evolution - Behavior and Systematics - General Agricultural and Biological Sciences language: - iso: eng main_file_link: - open_access: '1' url: https://onlinelibrary.wiley.com/doi/10.1111/evo.14235 month: '04' oa: 1 oa_version: Published Version page: 978-988 publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: Homage to Felsenstein 1981, or why are there so few/many species? tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 75 year: '2021' ...