--- _id: '14711' abstract: - lang: eng text: "In nature, different species find their niche in a range of environments, each with its unique characteristics. While some thrive in uniform (homogeneous) landscapes where environmental conditions stay relatively consistent across space, others traverse the complexities of spatially heterogeneous terrains. Comprehending how species are distributed and how they interact within these landscapes holds the key to gaining insights into their evolutionary dynamics while also informing conservation and management strategies.\r\n\r\nFor species inhabiting heterogeneous landscapes, when the rate of dispersal is low compared to spatial fluctuations in selection pressure, localized adaptations may emerge. Such adaptation in response to varying selection strengths plays an important role in the persistence of populations in our rapidly changing world. Hence, species in nature are continuously in a struggle to adapt to local environmental conditions, to ensure their continued survival. Natural populations can often adapt in time scales short enough for evolutionary changes to influence ecological dynamics and vice versa, thereby creating a feedback between evolution and demography. The analysis of this feedback and the relative contributions of gene flow, demography, drift, and natural selection to genetic variation and differentiation has remained a recurring theme in evolutionary biology. Nevertheless, the effective role of these forces in maintaining variation and shaping patterns of diversity is not fully understood. Even in homogeneous environments devoid of local adaptations, such understanding remains elusive. Understanding this feedback is crucial, for example in determining the conditions under which extinction risk can be mitigated in peripheral populations subject to deleterious mutation accumulation at the edges of species’ ranges\r\nas well as in highly fragmented populations.\r\n\r\nIn this thesis we explore both uniform and spatially heterogeneous metapopulations, investigating and providing theoretical insights into the dynamics of local adaptation in the latter and examining the dynamics of load and extinction as well as the impact of joint ecological and evolutionary (eco-evolutionary) dynamics in the former. The thesis is divided into 5 chapters.\r\n\r\nChapter 1 provides a general introduction into the subject matter, clarifying concepts and ideas used throughout the thesis. In chapter 2, we explore how fast a species distributed across a heterogeneous landscape adapts to changing conditions marked by alterations in carrying capacity, selection pressure, and migration rate.\r\n\r\nIn chapter 3, we investigate how migration selection and drift influences adaptation and the maintenance of variation in a metapopulation with three habitats, an extension of previous models of adaptation in two habitats. We further develop analytical approximations for the critical threshold required for polymorphism to persist.\r\n\r\nThe focus of chapter 4 of the thesis is on understanding the interplay between ecology and evolution as coupled processes. We investigate how eco-evolutionary feedback between migration, selection, drift, and demography influences eco-evolutionary outcomes in marginal populations subject to deleterious mutation accumulation. Using simulations as well as theoretical approximations of the coupled dynamics of population size and allele frequency, we analyze how gene flow from a large mainland source influences genetic load and population size on an island (i.e., in a marginal population) under genetically realistic assumptions. Analyses of this sort are important because small isolated populations, are repeatedly affected by complex interactions between ecological and evolutionary processes, which can lead to their death. Understanding these interactions can therefore provide an insight into the conditions under which extinction risk can be mitigated in peripheral populations thus, contributing to conservation and restoration efforts.\r\n\r\nChapter 5 extends the analysis in chapter 4 to consider the dynamics of load (due to deleterious mutation accumulation) and extinction risk in a metapopulation. We explore the role of gene flow, selection, and dominance on load and extinction risk and further pinpoint critical thresholds required for metapopulation persistence.\r\n\r\nOverall this research contributes to our understanding of ecological and evolutionary mechanisms that shape species’ persistence in fragmented landscapes, a crucial foundation for successful conservation efforts and biodiversity management." acknowledged_ssus: - _id: SSU alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Oluwafunmilola O full_name: Olusanya, Oluwafunmilola O id: 41AD96DC-F248-11E8-B48F-1D18A9856A87 last_name: Olusanya orcid: 0000-0003-1971-8314 citation: ama: Olusanya OO. Local adaptation, genetic load and extinction in metapopulations. 2024. doi:10.15479/at:ista:14711 apa: Olusanya, O. O. (2024). Local adaptation, genetic load and extinction in metapopulations. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14711 chicago: Olusanya, Oluwafunmilola O. “Local Adaptation, Genetic Load and Extinction in Metapopulations.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:14711. ieee: O. O. Olusanya, “Local adaptation, genetic load and extinction in metapopulations,” Institute of Science and Technology Austria, 2024. ista: Olusanya OO. 2024. Local adaptation, genetic load and extinction in metapopulations. Institute of Science and Technology Austria. mla: Olusanya, Oluwafunmilola O. Local Adaptation, Genetic Load and Extinction in Metapopulations. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:14711. short: O.O. Olusanya, Local Adaptation, Genetic Load and Extinction in Metapopulations, Institute of Science and Technology Austria, 2024. date_created: 2023-12-26T22:49:53Z date_published: 2024-01-19T00:00:00Z date_updated: 2024-01-26T12:00:54Z day: '19' ddc: - '576' degree_awarded: PhD department: - _id: NiBa - _id: GradSch doi: 10.15479/at:ista:14711 ec_funded: 1 file: - access_level: closed checksum: de179b1c6758f182ff0c70d8b38c1501 content_type: application/zip creator: oolusany date_created: 2024-01-03T18:30:13Z date_updated: 2024-01-03T18:30:13Z file_id: '14730' file_name: FinalSubmission_Thesis_OLUSANYA.zip file_size: 16986244 relation: source_file - access_level: open_access checksum: 0e331585e3cd4823320aab4e69e64ccf content_type: application/pdf creator: oolusany date_created: 2024-01-03T18:31:34Z date_updated: 2024-01-03T18:31:34Z file_id: '14731' file_name: FinalSubmission2_Thesis_OLUSANYA.pdf file_size: 6460403 relation: main_file success: 1 file_date_updated: 2024-01-03T18:31:34Z has_accepted_license: '1' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: '183' project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8 grant_number: P32896 name: Causes and consequences of population fragmentation - _id: 34c872fe-11ca-11ed-8bc3-8534b82131e6 grant_number: '26380' name: Polygenic Adaptation in a Metapopulation publication_identifier: issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '10658' relation: part_of_dissertation status: public - id: '10787' relation: part_of_dissertation status: public - id: '14732' relation: part_of_dissertation status: public status: public supervisor: - 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: Jitka full_name: Polechova, Jitka last_name: Polechova - first_name: Himani full_name: Sachdeva, Himani last_name: Sachdeva title: Local adaptation, genetic load and extinction in metapopulations tmp: image: /images/cc_by_nc_sa.png legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) short: CC BY-NC-SA (4.0) type: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '14821' alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Heloisa full_name: Chiossi, Heloisa id: 2BBA502C-F248-11E8-B48F-1D18A9856A87 last_name: Chiossi citation: ama: Chiossi HSC. Adaptive hierarchical representations in the hippocampus. 2024. doi:10.15479/at:ista:14821 apa: Chiossi, H. S. C. (2024). Adaptive hierarchical representations in the hippocampus. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14821 chicago: Chiossi, Heloisa S. C. “Adaptive Hierarchical Representations in the Hippocampus.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:14821. ieee: H. S. C. Chiossi, “Adaptive hierarchical representations in the hippocampus,” Institute of Science and Technology Austria, 2024. ista: Chiossi HSC. 2024. Adaptive hierarchical representations in the hippocampus. Institute of Science and Technology Austria. mla: Chiossi, Heloisa S. C. Adaptive Hierarchical Representations in the Hippocampus. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:14821. short: H.S.C. Chiossi, Adaptive Hierarchical Representations in the Hippocampus, Institute of Science and Technology Austria, 2024. date_created: 2024-01-16T14:25:21Z date_published: 2024-01-19T00:00:00Z date_updated: 2024-02-01T09:50:29Z day: '19' ddc: - '570' degree_awarded: PhD department: - _id: GradSch - _id: JoCs doi: 10.15479/at:ista:14821 ec_funded: 1 file: - access_level: closed checksum: d3fa3de1abd5af5204c13e9d55375615 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: hchiossi date_created: 2024-01-19T11:04:05Z date_updated: 2024-01-19T11:04:05Z file_id: '14838' file_name: PhD_Thesis_190124.docx file_size: 8656268 relation: source_file - access_level: closed checksum: 13adc8dcfb5b6b18107f89f0a98fa8bd content_type: application/pdf creator: hchiossi date_created: 2024-01-19T11:03:59Z date_updated: 2024-01-19T11:03:59Z embargo: 2025-01-19 embargo_to: open_access file_id: '14839' file_name: PhD_Thesis_190124.pdf file_size: 6567275 relation: main_file file_date_updated: 2024-01-19T11:04:05Z has_accepted_license: '1' language: - iso: eng month: '01' oa_version: Published Version page: '89' project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication_identifier: issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria status: public supervisor: - first_name: Jozsef L full_name: Csicsvari, Jozsef L id: 3FA14672-F248-11E8-B48F-1D18A9856A87 last_name: Csicsvari orcid: 0000-0002-5193-4036 title: Adaptive hierarchical representations in the hippocampus type: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '15020' abstract: - lang: eng text: "This thesis consists of four distinct pieces of work within theoretical biology, with two themes in common: the concept of optimization in biological systems, and the use of information-theoretic tools to quantify biological stochasticity and statistical uncertainty.\r\nChapter 2 develops a statistical framework for studying biological systems which we believe to be optimized for a particular utility function, such as retinal neurons conveying information about visual stimuli. We formalize such beliefs as maximum-entropy Bayesian priors, constrained by the expected utility. We explore how such priors aid inference of system parameters with limited data and enable optimality hypothesis testing: is the utility higher than by chance?\r\nChapter 3 examines the ultimate biological optimization process: evolution by natural selection. As some individuals survive and reproduce more successfully than others, populations evolve towards fitter genotypes and phenotypes. We formalize this as accumulation of genetic information, and use population genetics theory to study how much such information can be accumulated per generation and maintained in the face of random mutation and genetic drift. We identify the population size and fitness variance as the key quantities that control information accumulation and maintenance.\r\nChapter 4 reuses the concept of genetic information from Chapter 3, but from a different perspective: we ask how much genetic information organisms actually need, in particular in the context of gene regulation. For example, how much information is needed to bind transcription factors at correct locations within the genome? Population genetics provides us with a refined answer: with an increasing population size, populations achieve higher fitness by maintaining more genetic information. Moreover, regulatory parameters experience selection pressure to optimize the fitness-information trade-off, i.e. minimize the information needed for a given fitness. This provides an evolutionary derivation of the optimization priors introduced in Chapter 2.\r\nChapter 5 proves an upper bound on mutual information between a signal and a communication channel output (such as neural activity). Mutual information is an important utility measure for biological systems, but its practical use can be difficult due to the large dimensionality of many biological channels. Sometimes, a lower bound on mutual information is computed by replacing the high-dimensional channel outputs with decodes (signal estimates). Our result provides a corresponding upper bound, provided that the decodes are the maximum posterior estimates of the signal." acknowledged_ssus: - _id: ScienComp alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Michal full_name: Hledik, Michal id: 4171253A-F248-11E8-B48F-1D18A9856A87 last_name: Hledik citation: ama: Hledik M. Genetic information and biological optimization. 2024. doi:10.15479/at:ista:15020 apa: Hledik, M. (2024). Genetic information and biological optimization. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15020 chicago: Hledik, Michal. “Genetic Information and Biological Optimization.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15020. ieee: M. Hledik, “Genetic information and biological optimization,” Institute of Science and Technology Austria, 2024. ista: Hledik M. 2024. Genetic information and biological optimization. Institute of Science and Technology Austria. mla: Hledik, Michal. Genetic Information and Biological Optimization. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:15020. short: M. Hledik, Genetic Information and Biological Optimization, Institute of Science and Technology Austria, 2024. date_created: 2024-02-23T14:02:04Z date_published: 2024-02-23T00:00:00Z date_updated: 2024-03-06T14:22:52Z day: '23' ddc: - '576' - '519' degree_awarded: PhD department: - _id: GradSch - _id: NiBa - _id: GaTk doi: 10.15479/at:ista:15020 ec_funded: 1 file: - access_level: open_access checksum: b2d3da47c98d481577a4baf68944fe41 content_type: application/pdf creator: mhledik date_created: 2024-02-23T13:50:53Z date_updated: 2024-02-23T13:50:53Z file_id: '15021' file_name: hledik thesis pdfa 2b.pdf file_size: 7102089 relation: main_file success: 1 - access_level: closed checksum: eda9b9430da2610fee7ce1c1419a479a content_type: application/zip creator: mhledik date_created: 2024-02-23T13:50:54Z date_updated: 2024-02-23T14:20:16Z file_id: '15022' file_name: hledik thesis source.zip file_size: 14014790 relation: source_file file_date_updated: 2024-02-23T14:20:16Z has_accepted_license: '1' keyword: - Theoretical biology - Optimality - Evolution - Information language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: '158' project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 2665AAFE-B435-11E9-9278-68D0E5697425 grant_number: RGP0034/2018 name: Can evolution minimize spurious signaling crosstalk to reach optimal performance? - _id: bd6958e0-d553-11ed-ba76-86eba6a76c00 grant_number: '101055327' name: Understanding the evolution of continuous genomes publication_identifier: issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '7553' relation: part_of_dissertation status: public - id: '12081' relation: part_of_dissertation status: public - id: '7606' relation: part_of_dissertation status: public status: public supervisor: - 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: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 title: Genetic information and biological optimization type: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '15101' acknowledged_ssus: - _id: EM-Fac alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: JingJing full_name: Chen, JingJing id: 2C4E65C8-F248-11E8-B48F-1D18A9856A87 last_name: Chen citation: ama: Chen J. Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse. 2024. doi:10.15479/at:ista:15101 apa: Chen, J. (2024). Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15101 chicago: Chen, JingJing. “Developmental Transformation of Nanodomain Coupling between Ca2+ Channels and Release Sensors at a Central GABAergic Synapse.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15101. ieee: J. Chen, “Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse,” Institute of Science and Technology Austria, 2024. ista: Chen J. 2024. Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse. Institute of Science and Technology Austria. mla: Chen, JingJing. Developmental Transformation of Nanodomain Coupling between Ca2+ Channels and Release Sensors at a Central GABAergic Synapse. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:15101. short: J. Chen, Developmental Transformation of Nanodomain Coupling between Ca2+ Channels and Release Sensors at a Central GABAergic Synapse, Institute of Science and Technology Austria, 2024. date_created: 2024-03-11T10:09:54Z date_published: 2024-03-11T00:00:00Z date_updated: 2024-03-14T13:14:19Z day: '11' ddc: - '570' degree_awarded: PhD department: - _id: GradSch - _id: PeJo doi: 10.15479/at:ista:15101 ec_funded: 1 file: - access_level: closed checksum: db4947474ffa271e66c254b6fe876a55 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: jchen date_created: 2024-03-11T14:10:58Z date_updated: 2024-03-12T07:12:17Z file_id: '15104' file_name: Thesis_Jingjing CHEN.docx file_size: 11271363 relation: source_file - access_level: closed checksum: a5eeae8b5702cd540f5d03469bc33dde content_type: application/pdf creator: jchen date_created: 2024-03-11T14:11:06Z date_updated: 2024-03-11T14:11:06Z embargo: 2024-04-01 embargo_to: open_access file_id: '15105' file_name: Thesis_Jingjing CHEN_merged.pdf file_size: 16627311 relation: main_file file_date_updated: 2024-03-12T07:12:17Z has_accepted_license: '1' language: - iso: eng month: '03' oa_version: Published Version page: '84' project: - _id: 25B7EB9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '692692' name: Biophysics and circuit function of a giant cortical glumatergic synapse - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: The Wittgenstein Prize - _id: bd88be38-d553-11ed-ba76-81d5a70a6ef5 grant_number: P36232 name: Mechanisms of GABA release in hippocampal circuits - _id: 26B66A3E-B435-11E9-9278-68D0E5697425 grant_number: '25383' name: Development of nanodomain coupling between Ca2+ channels and release sensors at a central inhibitory synapse publication_identifier: issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '14843' relation: part_of_dissertation status: public status: public supervisor: - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 title: Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse 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: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ... --- _id: '15094' abstract: - lang: eng text: "Point sets, geometric networks, and arrangements of hyperplanes are fundamental objects in\r\ndiscrete geometry that have captivated mathematicians for centuries, if not millennia. This\r\nthesis seeks to cast new light on these structures by illustrating specific instances where a\r\ntopological perspective, specifically through discrete Morse theory and persistent homology,\r\nprovides valuable insights.\r\n\r\nAt first glance, the topology of these geometric objects might seem uneventful: point sets\r\nessentially lack of topology, arrangements of hyperplanes are a decomposition of Rd, which\r\nis a contractible space, and the topology of a network primarily involves the enumeration\r\nof connected components and cycles within the network. However, beneath this apparent\r\nsimplicity, there lies an array of intriguing structures, a small subset of which will be uncovered\r\nin this thesis.\r\n\r\nFocused on three case studies, each addressing one of the mentioned objects, this work\r\nwill showcase connections that intertwine topology with diverse fields such as combinatorial\r\ngeometry, algorithms and data structures, and emerging applications like spatial biology.\r\n\r\n" alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Sebastiano full_name: Cultrera di Montesano, Sebastiano id: 34D2A09C-F248-11E8-B48F-1D18A9856A87 last_name: Cultrera di Montesano orcid: 0000-0001-6249-0832 citation: ama: Cultrera di Montesano S. Persistence and Morse theory for discrete geometric structures. 2024. doi:10.15479/at:ista:15094 apa: Cultrera di Montesano, S. (2024). Persistence and Morse theory for discrete geometric structures. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15094 chicago: Cultrera di Montesano, Sebastiano. “Persistence and Morse Theory for Discrete Geometric Structures.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15094. ieee: S. Cultrera di Montesano, “Persistence and Morse theory for discrete geometric structures,” Institute of Science and Technology Austria, 2024. ista: Cultrera di Montesano S. 2024. Persistence and Morse theory for discrete geometric structures. Institute of Science and Technology Austria. mla: Cultrera di Montesano, Sebastiano. Persistence and Morse Theory for Discrete Geometric Structures. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:15094. short: S. Cultrera di Montesano, Persistence and Morse Theory for Discrete Geometric Structures, Institute of Science and Technology Austria, 2024. date_created: 2024-03-08T15:28:10Z date_published: 2024-03-08T00:00:00Z date_updated: 2024-03-20T09:36:57Z day: '08' ddc: - '514' - '500' - '516' degree_awarded: PhD department: - _id: GradSch - _id: HeEd doi: 10.15479/at:ista:15094 ec_funded: 1 file: - access_level: open_access checksum: 1e468bfa42a7dcf04d89f4dadc621c87 content_type: application/pdf creator: scultrer date_created: 2024-03-14T08:55:07Z date_updated: 2024-03-14T08:55:07Z file_id: '15112' file_name: Thesis Sebastiano.pdf file_size: 4106872 relation: main_file success: 1 - access_level: closed checksum: bcbd213490f5a7e68855a092bbce93f1 content_type: application/zip creator: scultrer date_created: 2024-03-14T08:56:24Z date_updated: 2024-03-14T14:14:35Z file_id: '15113' file_name: Thesis (1).zip file_size: 4746234 relation: source_file file_date_updated: 2024-03-14T14:14:35Z has_accepted_license: '1' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: '108' project: - _id: 266A2E9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '788183' name: Alpha Shape Theory Extended - _id: 268116B8-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00342 name: The Wittgenstein Prize - _id: 0aa4bc98-070f-11eb-9043-e6fff9c6a316 grant_number: I4887 name: Discretization in Geometry and Dynamics - _id: 2561EBF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: I02979-N35 name: Persistence and stability of geometric complexes publication_identifier: issn: - 2663 - 337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '11660' relation: part_of_dissertation status: public - id: '11658' relation: part_of_dissertation status: public - id: '13182' relation: part_of_dissertation status: public - id: '15090' relation: part_of_dissertation status: public - id: '15091' relation: part_of_dissertation status: public - id: '15093' relation: part_of_dissertation status: public status: public supervisor: - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 title: Persistence and Morse theory for discrete geometric structures tmp: image: /images/cc_by_nc_sa.png legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) short: CC BY-NC-SA (4.0) type: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2024' ...