--- OA_place: publisher _id: '14587' abstract: - lang: eng text: "This thesis concerns the application of variational methods to the study of evolution problems arising in fluid mechanics and in material sciences. The main focus is on weak-strong stability properties of some curvature driven interface evolution problems, such as the two-phase Navier–Stokes flow with surface tension and multiphase mean curvature flow, and on the phase-field approximation of the latter. Furthermore, we discuss a variational approach to the study of a class of doubly nonlinear wave equations.\r\nFirst, we consider the two-phase Navier–Stokes flow with surface tension within a bounded domain. The two fluids are immiscible and separated by a sharp interface, which intersects the boundary of the domain at a constant contact angle of ninety degree. We devise a suitable concept of varifolds solutions for the associated interface evolution problem and we establish a weak-strong uniqueness principle in case of a two dimensional ambient space. In order to focus on the boundary effects and on the singular geometry of the evolving domains, we work for simplicity in the regime of same viscosities for the two fluids.\r\nThe core of the thesis consists in the rigorous proof of the convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow for a suitable class of multi- well potentials and for well-prepared initial data. We even establish a rate of convergence. Our relative energy approach relies on the concept of gradient-flow calibration for branching singularities in multiphase mean curvature flow and thus enables us to overcome the limitations of other approaches. To the best of the author’s knowledge, our result is the first quantitative and unconditional one available in the literature for the vectorial/multiphase setting.\r\nThis thesis also contains a first study of weak-strong stability for planar multiphase mean curvature flow beyond the singularity resulting from a topology change. Previous weak-strong results are indeed limited to time horizons before the first topology change of the strong solution. We consider circular topology changes and we prove weak-strong stability for BV solutions to planar multiphase mean curvature flow beyond the associated singular times by dynamically adapting the strong solutions to the weak one by means of a space-time shift.\r\nIn the context of interface evolution problems, our proofs for the main results of this thesis are based on the relative energy technique, relying on novel suitable notions of relative energy functionals, which in particular measure the interface error. Our statements follow from the resulting stability estimates for the relative energy associated to the problem.\r\nAt last, we introduce a variational approach to the study of nonlinear evolution problems. This approach hinges on the minimization of a parameter dependent family of convex functionals over entire trajectories, known as Weighted Inertia-Dissipation-Energy (WIDE) functionals. We consider a class of doubly nonlinear wave equations and establish the convergence, up to subsequences, of the associated WIDE minimizers to a solution of the target problem as the parameter goes to zero." acknowledgement: The research projects contained in this thesis have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948819). alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Alice full_name: Marveggio, Alice id: 25647992-AA84-11E9-9D75-8427E6697425 last_name: Marveggio citation: ama: Marveggio A. Weak-strong stability and phase-field approximation of interface evolution problems in fluid mechanics and in material sciences. 2023. doi:10.15479/at:ista:14587 apa: Marveggio, A. (2023). Weak-strong stability and phase-field approximation of interface evolution problems in fluid mechanics and in material sciences. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14587 chicago: Marveggio, Alice. “Weak-Strong Stability and Phase-Field Approximation of Interface Evolution Problems in Fluid Mechanics and in Material Sciences.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:14587. ieee: A. Marveggio, “Weak-strong stability and phase-field approximation of interface evolution problems in fluid mechanics and in material sciences,” Institute of Science and Technology Austria, 2023. ista: Marveggio A. 2023. Weak-strong stability and phase-field approximation of interface evolution problems in fluid mechanics and in material sciences. Institute of Science and Technology Austria. mla: Marveggio, Alice. Weak-Strong Stability and Phase-Field Approximation of Interface Evolution Problems in Fluid Mechanics and in Material Sciences. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:14587. short: A. Marveggio, Weak-Strong Stability and Phase-Field Approximation of Interface Evolution Problems in Fluid Mechanics and in Material Sciences, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-11-21T11:41:05Z date_published: 2023-11-21T00:00:00Z date_updated: 2026-04-07T13:28:13Z day: '21' ddc: - '515' degree_awarded: PhD department: - _id: GradSch - _id: JuFi doi: 10.15479/at:ista:14587 ec_funded: 1 file: - access_level: open_access checksum: 6c7db4cc86da6cdc79f7f358dc7755d4 content_type: application/pdf creator: amarvegg date_created: 2023-11-29T09:09:31Z date_updated: 2023-11-29T09:09:31Z file_id: '14626' file_name: thesis_Marveggio.pdf file_size: 2881100 relation: main_file success: 1 - access_level: closed checksum: 52f28bdf95ec82cff39f3685f9c48e7d content_type: application/zip creator: amarvegg date_created: 2023-11-29T09:10:19Z date_updated: 2024-03-20T12:28:32Z file_id: '14627' file_name: Thesis_Marveggio.zip file_size: 10189696 relation: source_file file_date_updated: 2024-03-20T12:28:32Z has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-sa/4.0/ month: '11' oa: 1 oa_version: Published Version page: '228' project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '11842' relation: part_of_dissertation status: public - id: '14597' relation: part_of_dissertation status: public status: public supervisor: - first_name: Julian L full_name: Fischer, Julian L id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87 last_name: Fischer orcid: 0000-0002-0479-558X title: Weak-strong stability and phase-field approximation of interface evolution problems in fluid mechanics and in material sciences 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: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- OA_place: publisher _id: '14651' abstract: - lang: eng text: 'For self-incompatibility (SI) to be stable in a population, theory predicts that sufficient inbreeding depression (ID) is required: the fitness of offspring from self-mated individuals must be low enough to prevent the spread of self-compatibility (SC). Reviews of natural plant populations have supported this theory, with SI species generally showing high levels of ID. However, there is thought to be an under-sampling of self-incompatible taxa in the current literature. In this thesis, I study inbreeding depression in the SI plant species Antirrhinum majus using both greenhouse crosses and a large collected field dataset. Additionally, the gametophytic S-locus of A. majus is highly heterozygous and polymorphic, thus making assembly and discovery of S-alleles very difficult. Here, 206 new alleles of the male component SLFs are presented, along with a phylogeny showing the high conservation with alleles from another Antirrhinum species. Lastly, selected sites within the protein structure of SLFs are investigated, with one site in particular highlighted as potentially being involved in the SI recognition mechanism.' acknowledged_ssus: - _id: ScienComp alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Louise S full_name: Arathoon, Louise S id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87 last_name: Arathoon orcid: 0000-0003-1771-714X citation: ama: Arathoon LS. Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus. 2023. doi:10.15479/at:ista:14651 apa: Arathoon, L. S. (2023). Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14651 chicago: Arathoon, Louise S. “Investigating Inbreeding Depression and the Self-Incompatibility Locus of Antirrhinum Majus.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:14651. ieee: L. S. Arathoon, “Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus,” Institute of Science and Technology Austria, 2023. ista: Arathoon LS. 2023. Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus. Institute of Science and Technology Austria. mla: Arathoon, Louise S. Investigating Inbreeding Depression and the Self-Incompatibility Locus of Antirrhinum Majus. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:14651. short: L.S. Arathoon, Investigating Inbreeding Depression and the Self-Incompatibility Locus of Antirrhinum Majus, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-12-11T19:30:37Z date_published: 2023-12-12T00:00:00Z date_updated: 2026-04-07T13:28:30Z day: '12' ddc: - '570' degree_awarded: PhD department: - _id: GradSch - _id: NiBa doi: 10.15479/at:ista:14651 ec_funded: 1 file: - access_level: open_access checksum: 520bdb61e95e66070e02824947d2c5fa content_type: application/pdf creator: larathoo date_created: 2023-12-13T15:37:55Z date_updated: 2023-12-13T15:37:55Z file_id: '14684' file_name: Phd_Thesis_LA.pdf file_size: 34101468 relation: main_file success: 1 - access_level: closed checksum: d8e59afd0817c98fba2564a264508e5c content_type: application/zip creator: larathoo date_created: 2023-12-13T15:42:23Z date_updated: 2023-12-14T08:58:18Z file_id: '14685' file_name: Phd_Thesis_LA.zip file_size: 31052872 relation: source_file - access_level: closed checksum: 9a778c949932286f4519e1f1fca2820d content_type: application/zip creator: larathoo date_created: 2023-12-11T19:24:59Z date_updated: 2023-12-14T08:58:18Z file_id: '14681' file_name: Supplementary_Materials.zip file_size: 10713896 relation: supplementary_material file_date_updated: 2023-12-14T08:58:18Z has_accepted_license: '1' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: '96' 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 related_material: record: - id: '11411' 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 title: Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- OA_place: publisher _id: '12726' abstract: - lang: eng text: "Most motions of many-body systems at any scale in nature with sufficient degrees\r\nof freedom tend to be chaotic; reaching from the orbital motion of planets, the air\r\ncurrents in our atmosphere, down to the water flowing through our pipelines or\r\nthe movement of a population of bacteria. To the observer it is therefore intriguing\r\nwhen a moving collective exhibits order. Collective motion of flocks of birds, schools\r\nof fish or swarms of self-propelled particles or robots have been studied extensively\r\nover the past decades but the mechanisms involved in the transition from chaos to\r\norder remain unclear. Here, the interactions, that in most systems give rise to chaos,\r\nsustain order. In this thesis we investigate mechanisms that preserve, destabilize\r\nor lead to the ordered state. We show that endothelial cells migrating in circular\r\nconfinements transition to a collective rotating state and concomitantly synchronize\r\nthe frequencies of nucleating actin waves within individual cells. Consequently,\r\nthe frequency dependent cell migration speed uniformizes across the population.\r\nComplementary to the WAVE dependent nucleation of traveling actin waves, we\r\nshow that in leukocytes the actin polymerization depending on WASp generates\r\npushing forces locally at stationary patches. Next, in pipe flows, we study methods\r\nto disrupt the self–sustaining cycle of turbulence and therefore relaminarize the\r\nflow. While we find in pulsating flow conditions that turbulence emerges through a\r\nhelical instability during the decelerating phase. Finally, we show quantitatively in\r\nbrain slices of mice that wild-type control neurons can compensate the migratory\r\ndeficits of a genetically modified neuronal sub–population in the developing cortex." acknowledged_ssus: - _id: M-Shop - _id: Bio alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Michael full_name: Riedl, Michael id: 3BE60946-F248-11E8-B48F-1D18A9856A87 last_name: Riedl orcid: 0000-0003-4844-6311 citation: ama: Riedl M. Synchronization in collectively moving active matter. 2023. doi:10.15479/at:ista:12726 apa: Riedl, M. (2023). Synchronization in collectively moving active matter. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12726 chicago: Riedl, Michael. “Synchronization in Collectively Moving Active Matter.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12726. ieee: M. Riedl, “Synchronization in collectively moving active matter,” Institute of Science and Technology Austria, 2023. ista: Riedl M. 2023. Synchronization in collectively moving active matter. Institute of Science and Technology Austria. mla: Riedl, Michael. Synchronization in Collectively Moving Active Matter. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12726. short: M. Riedl, Synchronization in Collectively Moving Active Matter, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-03-15T13:22:13Z date_published: 2023-03-23T00:00:00Z date_updated: 2026-04-07T13:29:13Z day: '23' ddc: - '530' degree_awarded: PhD department: - _id: GradSch - _id: BjHo doi: 10.15479/at:ista:12726 file: - access_level: closed checksum: eba0e19fe57a8c15e7aeab55a845efb7 content_type: application/pdf creator: cchlebak date_created: 2023-03-23T12:49:23Z date_updated: 2023-11-24T11:57:46Z description: the main file is missing the bibliography. See new thesis record 14530 for updated files. file_id: '12745' file_name: Thesis_Riedl_2023.pdf file_size: 63734746 relation: main_file - access_level: closed checksum: 0eb7b650cc8ae843bcec7c8a6109ae03 content_type: application/octet-stream creator: cchlebak date_created: 2023-03-23T12:54:34Z date_updated: 2023-09-24T22:30:03Z embargo_to: open_access file_id: '12746' file_name: Thesis_Riedl_2023_source.rar file_size: 339473651 relation: source_file file_date_updated: 2023-11-24T11:57:46Z has_accepted_license: '1' language: - iso: eng month: '03' oa_version: None page: '260' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '461' relation: part_of_dissertation status: public - id: '10791' relation: part_of_dissertation status: public - id: '7932' relation: part_of_dissertation status: public - id: '10703' relation: part_of_dissertation status: public - id: '14530' relation: new_edition status: public status: public supervisor: - first_name: Björn full_name: Hof, Björn id: 3A374330-F248-11E8-B48F-1D18A9856A87 last_name: Hof orcid: 0000-0003-2057-2754 title: Synchronization in collectively moving active matter type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- OA_place: publisher _id: '14530' abstract: - lang: eng text: 'Most motions of many-body systems at any scale in nature with sufficient degrees of freedom tend to be chaotic; reaching from the orbital motion of planets, the air currents in our atmosphere, down to the water flowing through our pipelines or the movement of a population of bacteria. To the observer it is therefore intriguing when a moving collective exhibits order. Collective motion of flocks of birds, schools of fish or swarms of self-propelled particles or robots have been studied extensively over the past decades but the mechanisms involved in the transition from chaos to order remain unclear. Here, the interactions, that in most systems give rise to chaos, sustain order. In this thesis we investigate mechanisms that preserve, destabilize or lead to the ordered state. We show that endothelial cells migrating in circular confinements transition to a collective rotating state and concomitantly synchronize the frequencies of nucleating actin waves within individual cells. Consequently, the frequency dependent cell migration speed uniformizes across the population. Complementary to the WAVE dependent nucleation of traveling actin waves, we show that in leukocytes the actin polymerization depending on WASp generates pushing forces locally at stationary patches. Next, in pipe flows, we study methods to disrupt the self--sustaining cycle of turbulence and therefore relaminarize the flow. While we find in pulsating flow conditions that turbulence emerges through a helical instability during the decelerating phase. Finally, we show quantitatively in brain slices of mice that wild-type control neurons can compensate the migratory deficits of a genetically modified neuronal sub--population in the developing cortex. ' acknowledged_ssus: - _id: M-Shop - _id: Bio alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Michael full_name: Riedl, Michael id: 3BE60946-F248-11E8-B48F-1D18A9856A87 last_name: Riedl orcid: 0000-0003-4844-6311 citation: ama: Riedl M. Synchronization in collectively moving active matter. 2023. doi:10.15479/14530 apa: Riedl, M. (2023). Synchronization in collectively moving active matter. Institute of Science and Technology Austria. https://doi.org/10.15479/14530 chicago: Riedl, Michael. “Synchronization in Collectively Moving Active Matter.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/14530. ieee: M. Riedl, “Synchronization in collectively moving active matter,” Institute of Science and Technology Austria, 2023. ista: Riedl M. 2023. Synchronization in collectively moving active matter. Institute of Science and Technology Austria. mla: Riedl, Michael. Synchronization in Collectively Moving Active Matter. Institute of Science and Technology Austria, 2023, doi:10.15479/14530. short: M. Riedl, Synchronization in Collectively Moving Active Matter, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-11-15T09:59:03Z date_published: 2023-11-16T00:00:00Z date_updated: 2026-04-07T13:29:13Z day: '16' ddc: - '530' - '570' degree_awarded: PhD department: - _id: GradSch - _id: MiSi doi: 10.15479/14530 file: - access_level: open_access checksum: 52e1d0ab6c1abe59c82dfe8c9ff5f83a content_type: application/pdf creator: mriedl date_created: 2023-11-15T09:52:54Z date_updated: 2023-11-15T09:52:54Z file_id: '14536' file_name: Thesis_Riedl_2023_corr.pdf file_size: 36743942 relation: main_file success: 1 file_date_updated: 2023-11-15T09:52:54Z has_accepted_license: '1' keyword: - Synchronization - Collective Movement - Active Matter - Cell Migration - Active Colloids language: - iso: eng month: '11' oa: 1 oa_version: Updated Version page: '260' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '461' relation: part_of_dissertation status: public - id: '10791' relation: part_of_dissertation status: public - id: '7932' relation: part_of_dissertation status: public - id: '10703' relation: part_of_dissertation status: public - id: '12726' relation: old_edition status: public status: public supervisor: - first_name: Björn full_name: Hof, Björn id: 3A374330-F248-11E8-B48F-1D18A9856A87 last_name: Hof orcid: 0000-0003-2057-2754 title: Synchronization in collectively moving active matter type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- OA_place: publisher _id: '13331' abstract: - lang: eng text: "The extension of extremal combinatorics to the setting of exterior algebra is a work\r\nin progress that gained attention recently. In this thesis, we study the combinatorial structure of exterior algebra by introducing a dictionary that translates the notions from the set systems into the framework of exterior algebra. We show both generalizations of celebrated Erdös--Ko--Rado theorem and Hilton--Milner theorem to the setting of exterior algebra in the simplest non-trivial case of two-forms.\r\n" alternative_title: - ISTA Master's Thesis article_processing_charge: No author: - first_name: Seyda full_name: Köse, Seyda id: 8ba3170d-dc85-11ea-9058-c4251c96a6eb last_name: Köse orcid: 0009-0008-0457-9730 citation: ama: Köse S. Exterior algebra and combinatorics. 2023. doi:10.15479/at:ista:13331 apa: Köse, S. (2023). Exterior algebra and combinatorics. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13331 chicago: Köse, Seyda. “Exterior Algebra and Combinatorics.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:13331. ieee: S. Köse, “Exterior algebra and combinatorics,” Institute of Science and Technology Austria, 2023. ista: Köse S. 2023. Exterior algebra and combinatorics. Institute of Science and Technology Austria. mla: Köse, Seyda. Exterior Algebra and Combinatorics. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13331. short: S. Köse, Exterior Algebra and Combinatorics, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-07-31T10:20:55Z date_published: 2023-07-31T00:00:00Z date_updated: 2026-04-07T13:29:29Z day: '31' ddc: - '510' - '516' degree_awarded: MS department: - _id: GradSch - _id: UlWa doi: 10.15479/at:ista:13331 file: - access_level: closed checksum: 96ee518d796d02af71395622c45de03c content_type: application/x-zip-compressed creator: skoese date_created: 2023-07-31T10:16:32Z date_updated: 2023-07-31T10:16:32Z file_id: '13333' file_name: Exterior Algebra and Combinatorics.zip file_size: 28684 relation: source_file - access_level: open_access checksum: f610f4713f88bc477de576aaa46b114e content_type: application/pdf creator: skoese date_created: 2023-08-03T15:28:55Z date_updated: 2023-08-03T15:28:55Z file_id: '13480' file_name: thesis-pdfa.pdf file_size: 4953418 relation: main_file success: 1 file_date_updated: 2023-08-03T15:28:55Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: '26' publication_identifier: issn: - 2791-4585 publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '12680' relation: part_of_dissertation status: public status: public supervisor: - first_name: Uli full_name: Wagner, Uli id: 36690CA2-F248-11E8-B48F-1D18A9856A87 last_name: Wagner orcid: 0000-0002-1494-0568 title: Exterior algebra and combinatorics type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- _id: '12680' abstract: - lang: eng text: The celebrated Erdős–Ko–Rado theorem about the maximal size of an intersecting family of r-element subsets of was extended to the setting of exterior algebra in [5, Theorem 2.3] and in [6, Theorem 1.4]. However, the equality case has not been settled yet. In this short note, we show that the extension of the Erdős–Ko–Rado theorem and the characterization of the equality case therein, as well as those of the Hilton–Milner theorem to the setting of exterior algebra in the simplest non-trivial case of two-forms follow from a folklore puzzle about possible arrangements of an intersecting family of lines. article_number: '113363' article_processing_charge: No article_type: letter_note arxiv: 1 author: - first_name: Grigory full_name: Ivanov, Grigory id: 87744F66-5C6F-11EA-AFE0-D16B3DDC885E last_name: Ivanov orcid: 0000-0002-5021-3982 - first_name: Seyda full_name: Köse, Seyda id: 8ba3170d-dc85-11ea-9058-c4251c96a6eb last_name: Köse orcid: 0009-0008-0457-9730 citation: ama: Ivanov G, Köse S. Erdős-Ko-Rado and Hilton-Milner theorems for two-forms. Discrete Mathematics. 2023;346(6). doi:10.1016/j.disc.2023.113363 apa: Ivanov, G., & Köse, S. (2023). Erdős-Ko-Rado and Hilton-Milner theorems for two-forms. Discrete Mathematics. Elsevier. https://doi.org/10.1016/j.disc.2023.113363 chicago: Ivanov, Grigory, and Seyda Köse. “Erdős-Ko-Rado and Hilton-Milner Theorems for Two-Forms.” Discrete Mathematics. Elsevier, 2023. https://doi.org/10.1016/j.disc.2023.113363. ieee: G. Ivanov and S. Köse, “Erdős-Ko-Rado and Hilton-Milner theorems for two-forms,” Discrete Mathematics, vol. 346, no. 6. Elsevier, 2023. ista: Ivanov G, Köse S. 2023. Erdős-Ko-Rado and Hilton-Milner theorems for two-forms. Discrete Mathematics. 346(6), 113363. mla: Ivanov, Grigory, and Seyda Köse. “Erdős-Ko-Rado and Hilton-Milner Theorems for Two-Forms.” Discrete Mathematics, vol. 346, no. 6, 113363, Elsevier, 2023, doi:10.1016/j.disc.2023.113363. short: G. Ivanov, S. Köse, Discrete Mathematics 346 (2023). corr_author: '1' date_created: 2023-02-26T23:01:00Z date_published: 2023-06-01T00:00:00Z date_updated: 2026-04-07T13:29:28Z day: '01' department: - _id: UlWa - _id: GradSch doi: 10.1016/j.disc.2023.113363 external_id: arxiv: - '2201.10892' isi: - '001189844500001' intvolume: ' 346' isi: 1 issue: '6' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2201.10892' month: '06' oa: 1 oa_version: Preprint publication: Discrete Mathematics publication_identifier: issn: - 0012-365X publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '13331' relation: dissertation_contains status: public scopus_import: '1' status: public title: Erdős-Ko-Rado and Hilton-Milner theorems for two-forms type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 346 year: '2023' ... --- OA_place: publisher _id: '13074' abstract: - lang: eng text: "Deep learning has become an integral part of a large number of important applications, and many of the recent breakthroughs have been enabled by the ability to train very large models, capable to capture complex patterns and relationships from the data. At the same time, the massive sizes of modern deep learning models have made their deployment to smaller devices more challenging; this is particularly important, as in many applications the users rely on accurate deep learning predictions, but they only have access to devices with limited memory and compute power. One solution to this problem is to prune neural networks, by setting as many of their parameters as possible to zero, to obtain accurate sparse models with lower memory footprint. Despite the great research progress in obtaining sparse models that preserve accuracy, while satisfying memory and computational constraints, there are still many challenges associated with efficiently training sparse models, as well as understanding their generalization properties.\r\n\r\nThe focus of this thesis is to investigate how the training process of sparse models can be made more efficient, and to understand the differences between sparse and dense models in terms of how well they can generalize to changes in the data distribution. We first study a method for co-training sparse and dense models, at a lower cost compared to regular training. With our method we can obtain very accurate sparse networks, and dense models that can recover the baseline accuracy. Furthermore, we are able to more easily analyze the differences, at prediction level, between the sparse-dense model pairs. Next, we investigate the generalization properties of sparse neural networks in more detail, by studying how well different sparse models trained on a larger task can adapt to smaller, more specialized tasks, in a transfer learning scenario. Our analysis across multiple pruning methods and sparsity levels reveals that sparse models provide features that can transfer similarly to or better than the dense baseline. However, the choice of the pruning method plays an important role, and can influence the results when the features are fixed (linear finetuning), or when they are allowed to adapt to the new task (full finetuning). Using sparse models with fixed masks for finetuning on new tasks has an important practical advantage, as it enables training neural networks on smaller devices. However, one drawback of current pruning methods is that the entire training cycle has to be repeated to obtain the initial sparse model, for every sparsity target; in consequence, the entire training process is costly and also multiple models need to be stored. In the last part of the thesis we propose a method that can train accurate dense models that are compressible in a single step, to multiple sparsity levels, without additional finetuning. Our method results in sparse models that can be competitive with existing pruning methods, and which can also successfully generalize to new tasks." acknowledged_ssus: - _id: ScienComp alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Elena-Alexandra full_name: Peste, Elena-Alexandra id: 32D78294-F248-11E8-B48F-1D18A9856A87 last_name: Peste citation: ama: Krumes A. Efficiency and generalization of sparse neural networks. 2023. doi:10.15479/at:ista:13074 apa: Krumes, A. (2023). Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13074 chicago: Krumes, Alexandra. “Efficiency and Generalization of Sparse Neural Networks.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:13074. ieee: A. Krumes, “Efficiency and generalization of sparse neural networks,” Institute of Science and Technology Austria, 2023. ista: Krumes A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria. mla: Krumes, Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074. short: A. Krumes, Efficiency and Generalization of Sparse Neural Networks, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-05-23T17:07:53Z date_published: 2023-05-23T00:00:00Z date_updated: 2026-04-07T13:30:20Z day: '23' ddc: - '000' degree_awarded: PhD department: - _id: GradSch - _id: DaAl - _id: ChLa doi: 10.15479/at:ista:13074 ec_funded: 1 file: - access_level: open_access checksum: 6b3354968403cb9d48cc5a83611fb571 content_type: application/pdf creator: epeste date_created: 2023-05-24T16:11:16Z date_updated: 2023-05-24T16:11:16Z file_id: '13087' file_name: PhD_Thesis_Alexandra_Peste_final.pdf file_size: 2152072 relation: main_file success: 1 - access_level: closed checksum: 8d0df94bbcf4db72c991f22503b3fd60 content_type: application/zip creator: epeste date_created: 2023-05-24T16:12:59Z date_updated: 2023-05-24T16:12:59Z file_id: '13088' file_name: PhD_Thesis_APeste.zip file_size: 1658293 relation: source_file file_date_updated: 2023-05-24T16:12:59Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '147' project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '13053' relation: part_of_dissertation status: public - id: '11458' relation: part_of_dissertation status: public - id: '12299' relation: part_of_dissertation status: public status: public supervisor: - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X title: Efficiency and generalization of sparse neural networks type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- _id: '13053' abstract: - lang: eng text: 'Deep neural networks (DNNs) often have to be compressed, via pruning and/or quantization, before they can be deployed in practical settings. In this work we propose a new compression-aware minimizer dubbed CrAM that modifies the optimization step in a principled way, in order to produce models whose local loss behavior is stable under compression operations such as pruning. Thus, dense models trained via CrAM should be compressible post-training, in a single step, without significant accuracy loss. Experimental results on standard benchmarks, such as residual networks for ImageNet classification and BERT models for language modelling, show that CrAM produces dense models that can be more accurate than the standard SGD/Adam-based baselines, but which are stable under weight pruning: specifically, we can prune models in one-shot to 70-80% sparsity with almost no accuracy loss, and to 90% with reasonable (∼1%) accuracy loss, which is competitive with gradual compression methods. Additionally, CrAM can produce sparse models which perform well for transfer learning, and it also works for semi-structured 2:4 pruning patterns supported by GPU hardware. The code for reproducing the results is available at this https URL .' acknowledged_ssus: - _id: ScienComp acknowledgement: "AP, EK, DA received funding from the European Research Council (ERC) under the European\r\nUnion’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). AV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-21-CE48-0016 (project COMCOPT). We further acknowledge the support from the Scientific Service Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp)." article_processing_charge: No arxiv: 1 author: - first_name: Elena-Alexandra full_name: Peste, Elena-Alexandra id: 32D78294-F248-11E8-B48F-1D18A9856A87 last_name: Peste - first_name: Adrian full_name: Vladu, Adrian last_name: Vladu - first_name: Eldar full_name: Kurtic, Eldar id: 47beb3a5-07b5-11eb-9b87-b108ec578218 last_name: Kurtic - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Krumes A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. In: 11th International Conference on Learning Representations . OpenReview; 2023.' apa: 'Krumes, A., Vladu, A., Kurtic, E., Lampert, C., & Alistarh, D.-A. (2023). CrAM: A Compression-Aware Minimizer. In 11th International Conference on Learning Representations . Kigali, Rwanda : OpenReview.' chicago: 'Krumes, Alexandra, Adrian Vladu, Eldar Kurtic, Christoph Lampert, and Dan-Adrian Alistarh. “CrAM: A Compression-Aware Minimizer.” In 11th International Conference on Learning Representations . OpenReview, 2023.' ieee: 'A. Krumes, A. Vladu, E. Kurtic, C. Lampert, and D.-A. Alistarh, “CrAM: A Compression-Aware Minimizer,” in 11th International Conference on Learning Representations , Kigali, Rwanda , 2023.' ista: 'Krumes A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. 2023. CrAM: A Compression-Aware Minimizer. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.' mla: 'Krumes, Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations , OpenReview, 2023.' short: A. Krumes, A. Vladu, E. Kurtic, C. Lampert, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , OpenReview, 2023. conference: end_date: 2023-05-05 location: 'Kigali, Rwanda ' name: 'ICLR: International Conference on Learning Representations' start_date: 2023-05-01 corr_author: '1' date_created: 2023-05-23T11:36:18Z date_published: 2023-05-01T00:00:00Z date_updated: 2026-04-07T13:30:19Z day: '01' ddc: - '000' department: - _id: GradSch - _id: DaAl - _id: ChLa ec_funded: 1 external_id: arxiv: - '2207.14200' file: - access_level: open_access checksum: a6eec897e13a91cdc3eeaf309801752c content_type: application/pdf creator: dernst date_created: 2024-07-22T09:09:45Z date_updated: 2024-07-22T09:09:45Z file_id: '17294' file_name: 2023_ICLR_Peste.pdf file_size: 458201 relation: main_file success: 1 file_date_updated: 2024-07-22T09:09:45Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://openreview.net/pdf?id=_eTZBs-yedr month: '05' oa: 1 oa_version: Published Version project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: '11th International Conference on Learning Representations ' publication_status: published publisher: OpenReview quality_controlled: '1' related_material: link: - relation: software url: https://github.com/IST-DASLab/CrAM record: - id: '13074' relation: dissertation_contains status: public status: public title: 'CrAM: A Compression-Aware Minimizer' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: publisher _id: '14641' abstract: - lang: eng text: "Mutation rates represent the net result of complex interactions among various\r\ncellular processes and can dramatically influence the evolutionary fate of\r\nmicrobial populations. However, many popular techniques used to study\r\nmutations are subject to the confounding effects of heredity and the subtleties\r\nof adaptation to selection, all of which make it difficult to observe any dynamic\r\nresponses of mutation rates to fitness challenges. Furthermore, in spite of the\r\nubiquity of quorum sensing systems across the bacterial domain and relevance\r\nfor many physiological behaviors, the effects of such mechanisms on mutation\r\nrate and adaptation remain poorly understood. In the following work, I\r\npresent the development of a microfluidic droplet-based method to measure\r\nsingle base-pair mutation rates in growing populations of the bacterium\r\nEscherichia coli. I use this method to observe a stress-induced increase in\r\nmutation rate that is mediated by luxS, a highly conserved bacterial quorum\r\nsensing component. I also show that the aforementioned increase in mutation\r\nrate, and its associated control by luxS, corresponds to a higher degree of\r\nadaptability under competitive environments." acknowledged_ssus: - _id: LifeSc - _id: Bio - _id: CampIT alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Mike full_name: Hennessey-Wesen, Mike id: 3F338C72-F248-11E8-B48F-1D18A9856A87 last_name: Hennessey-Wesen citation: ama: Hennessey-Wesen M. Adaptive mutation in E. coli modulated by luxS. 2023. doi:10.15479/at:ista:14641 apa: Hennessey-Wesen, M. (2023). Adaptive mutation in E. coli modulated by luxS. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14641 chicago: Hennessey-Wesen, Mike. “Adaptive Mutation in E. Coli Modulated by LuxS.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:14641. ieee: M. Hennessey-Wesen, “Adaptive mutation in E. coli modulated by luxS,” Institute of Science and Technology Austria, 2023. ista: Hennessey-Wesen M. 2023. Adaptive mutation in E. coli modulated by luxS. Institute of Science and Technology Austria. mla: Hennessey-Wesen, Mike. Adaptive Mutation in E. Coli Modulated by LuxS. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:14641. short: M. Hennessey-Wesen, Adaptive Mutation in E. Coli Modulated by LuxS, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-12-04T13:17:37Z date_published: 2023-11-30T00:00:00Z date_updated: 2026-04-07T13:29:59Z day: '30' ddc: - '570' degree_awarded: PhD department: - _id: GradSch - _id: BjHo doi: 10.15479/at:ista:14641 ec_funded: 1 file: - access_level: closed checksum: 4127c285b34f4bf7fb31ef24f9d14c25 content_type: application/vnd.oasis.opendocument.text creator: mhenness date_created: 2023-12-06T13:13:26Z date_updated: 2024-11-30T23:30:05Z embargo_to: open_access file_id: '14648' file_name: mike_thesis_v06-12-2023.odt file_size: 46405919 relation: source_file - access_level: closed checksum: f5203a61eddaf35235bbc51904d73982 content_type: application/pdf creator: mhenness date_created: 2023-12-06T13:14:15Z date_updated: 2025-07-17T11:20:25Z embargo: 2026-07-18 embargo_to: open_access file_id: '14649' file_name: mike_thesis_v06-12-2023.pdf file_size: 21282155 relation: main_file - access_level: closed checksum: 902102d26d30e74dbd6cdd70a65820c3 content_type: application/pdf creator: cchlebak date_created: 2025-05-20T12:59:12Z date_updated: 2025-05-20T22:31:34Z description: for printing purposes only embargo_to: open_access file_id: '19720' file_name: 2023_Hennessey_Michael_Thesis_print.pdf file_size: 45847968 relation: other title: Print version file_date_updated: 2025-07-17T11:20:25Z has_accepted_license: '1' keyword: - microfluidics - miceobiology - mutations - quorum sensing language: - iso: eng month: '11' oa_version: Published Version page: '104' 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: Björn full_name: Hof, Björn id: 3A374330-F248-11E8-B48F-1D18A9856A87 last_name: Hof orcid: 0000-0003-2057-2754 title: Adaptive mutation in E. coli modulated by luxS type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- OA_place: publisher _id: '14506' abstract: - lang: eng text: "Payment channel networks are a promising approach to improve the scalability bottleneck\r\nof cryptocurrencies. Two design principles behind payment channel networks are\r\nefficiency and privacy. Payment channel networks improve efficiency by allowing users\r\nto transact in a peer-to-peer fashion along multi-hop routes in the network, avoiding\r\nthe lengthy process of consensus on the blockchain. Transacting over payment channel\r\nnetworks also improves privacy as these transactions are not broadcast to the blockchain.\r\nDespite the influx of recent protocols built on top of payment channel networks and\r\ntheir analysis, a common shortcoming of many of these protocols is that they typically\r\nfocus only on either improving efficiency or privacy, but not both. Another limitation\r\non the efficiency front is that the models used to model actions, costs and utilities of\r\nusers are limited or come with unrealistic assumptions.\r\nThis thesis aims to address some of the shortcomings of recent protocols and algorithms\r\non payment channel networks, particularly in their privacy and efficiency aspects. We\r\nfirst present a payment route discovery protocol based on hub labelling and private\r\ninformation retrieval that hides the route query and is also efficient. We then present\r\na rebalancing protocol that formulates the rebalancing problem as a linear program\r\nand solves the linear program using multiparty computation so as to hide the channel\r\nbalances. The rebalancing solution as output by our protocol is also globally optimal.\r\nWe go on to develop more realistic models of the action space, costs, and utilities of\r\nboth existing and new users that want to join the network. In each of these settings,\r\nwe also develop algorithms to optimise the utility of these users with good guarantees\r\non the approximation and competitive ratios." alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Michelle X full_name: Yeo, Michelle X id: 2D82B818-F248-11E8-B48F-1D18A9856A87 last_name: Yeo orcid: 0009-0001-3676-4809 citation: ama: Yeo MX. Advances in efficiency and privacy in payment channel network analysis. 2023. doi:10.15479/14506 apa: Yeo, M. X. (2023). Advances in efficiency and privacy in payment channel network analysis. Institute of Science and Technology Austria. https://doi.org/10.15479/14506 chicago: Yeo, Michelle X. “Advances in Efficiency and Privacy in Payment Channel Network Analysis.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/14506. ieee: M. X. Yeo, “Advances in efficiency and privacy in payment channel network analysis,” Institute of Science and Technology Austria, 2023. ista: Yeo MX. 2023. Advances in efficiency and privacy in payment channel network analysis. Institute of Science and Technology Austria. mla: Yeo, Michelle X. Advances in Efficiency and Privacy in Payment Channel Network Analysis. Institute of Science and Technology Austria, 2023, doi:10.15479/14506. short: M.X. Yeo, Advances in Efficiency and Privacy in Payment Channel Network Analysis, Institute of Science and Technology Austria, 2023. corr_author: '1' date_created: 2023-11-10T08:10:43Z date_published: 2023-11-10T00:00:00Z date_updated: 2026-04-07T13:29:45Z day: '10' ddc: - '000' degree_awarded: PhD department: - _id: GradSch - _id: KrPi doi: 10.15479/14506 ec_funded: 1 file: - access_level: closed checksum: 521c72818d720a52b377207b2ee87b6a content_type: application/x-zip-compressed creator: cchlebak date_created: 2023-11-23T10:29:55Z date_updated: 2023-11-23T10:29:55Z file_id: '14598' file_name: thesis_yeo.zip file_size: 3037720 relation: source_file - access_level: open_access checksum: 0ed5d16899687aecf13d843c9878c9f2 content_type: application/pdf creator: cchlebak date_created: 2023-11-23T10:30:08Z date_updated: 2023-11-23T10:30:08Z file_id: '14599' file_name: thesis_yeo.pdf file_size: 2717256 relation: main_file success: 1 file_date_updated: 2023-11-23T10:30:08Z has_accepted_license: '1' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: '162' 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 related_material: record: - id: '13238' relation: part_of_dissertation status: deleted - id: '9969' relation: part_of_dissertation status: public - id: '14490' relation: part_of_dissertation status: public status: public supervisor: - first_name: Krzysztof Z full_name: Pietrzak, Krzysztof Z id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87 last_name: Pietrzak orcid: 0000-0002-9139-1654 title: Advances in efficiency and privacy in payment channel network analysis type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- _id: '14490' abstract: - lang: eng text: Payment channel networks (PCNs) are a promising solution to the scalability problem of cryptocurrencies. Any two users connected by a payment channel in the network can theoretically send an unbounded number of instant, costless transactions between them. Users who are not directly connected can also transact with each other in a multi-hop fashion. In this work, we study the incentive structure behind the creation of payment channel networks, particularly from the point of view of a single user that wants to join the network. We define a utility function for a new user in terms of expected revenue, expected fees, and the cost of creating channels, and then provide constant factor approximation algorithms that optimise the utility function given a certain budget. Additionally, we take a step back from a single user to the whole network and examine the parameter spaces under which simple graph topologies form a Nash equilibrium. acknowledgement: The work was partially supported by the Austrian Science Fund (FWF) through the project CoRaF (grant 2020388). It was also partially supported by NCN Grant 2019/35/B/ST6/04138 and ERC Grant 885666. article_processing_charge: No arxiv: 1 author: - first_name: Zeta full_name: Avarikioti, Zeta last_name: Avarikioti - first_name: Tomasz full_name: Lizurej, Tomasz last_name: Lizurej - first_name: Tomasz full_name: Michalak, Tomasz last_name: Michalak - first_name: Michelle X full_name: Yeo, Michelle X id: 2D82B818-F248-11E8-B48F-1D18A9856A87 last_name: Yeo orcid: 0009-0001-3676-4809 citation: ama: 'Avarikioti Z, Lizurej T, Michalak T, Yeo MX. Lightning creation games. In: 43rd International Conference on Distributed Computing Systems. Vol 2023. IEEE; 2023:603-613. doi:10.1109/ICDCS57875.2023.00037' apa: 'Avarikioti, Z., Lizurej, T., Michalak, T., & Yeo, M. X. (2023). Lightning creation games. In 43rd International Conference on Distributed Computing Systems (Vol. 2023, pp. 603–613). Hong Kong, China: IEEE. https://doi.org/10.1109/ICDCS57875.2023.00037' chicago: Avarikioti, Zeta, Tomasz Lizurej, Tomasz Michalak, and Michelle X Yeo. “Lightning Creation Games.” In 43rd International Conference on Distributed Computing Systems, 2023:603–13. IEEE, 2023. https://doi.org/10.1109/ICDCS57875.2023.00037. ieee: Z. Avarikioti, T. Lizurej, T. Michalak, and M. X. Yeo, “Lightning creation games,” in 43rd International Conference on Distributed Computing Systems, Hong Kong, China, 2023, vol. 2023, pp. 603–613. ista: 'Avarikioti Z, Lizurej T, Michalak T, Yeo MX. 2023. Lightning creation games. 43rd International Conference on Distributed Computing Systems. ICDCS: International Conference on Distributed Computing Systems vol. 2023, 603–613.' mla: Avarikioti, Zeta, et al. “Lightning Creation Games.” 43rd International Conference on Distributed Computing Systems, vol. 2023, IEEE, 2023, pp. 603–13, doi:10.1109/ICDCS57875.2023.00037. short: Z. Avarikioti, T. Lizurej, T. Michalak, M.X. Yeo, in:, 43rd International Conference on Distributed Computing Systems, IEEE, 2023, pp. 603–613. conference: end_date: 2023-07-21 location: Hong Kong, China name: 'ICDCS: International Conference on Distributed Computing Systems' start_date: 2023-07-18 date_created: 2023-11-05T23:00:54Z date_published: 2023-10-11T00:00:00Z date_updated: 2026-04-07T13:29:44Z day: '11' department: - _id: KrPi doi: 10.1109/ICDCS57875.2023.00037 external_id: arxiv: - '2306.16006' isi: - '001081242600053' intvolume: ' 2023' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2306.16006 month: '10' oa: 1 oa_version: Preprint page: 603-613 publication: 43rd International Conference on Distributed Computing Systems publication_identifier: eissn: - 2575-8411 isbn: - '9798350339864' publication_status: published publisher: IEEE quality_controlled: '1' related_material: record: - id: '14506' relation: dissertation_contains status: public scopus_import: '1' status: public title: Lightning creation games type: conference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 2023 year: '2023' ... --- _id: '13128' abstract: - lang: eng text: "Given \U0001D434 ⊆\U0001D43A⁡\U0001D43F2⁡(\U0001D53D\U0001D45E), we prove that there exist disjoint subsets \U0001D435,\U0001D436 ⊆\U0001D434 such that \U0001D434 =\U0001D435 ⊔\U0001D436 and their additive and multiplicative energies satisfying\r\nmax⁡{\U0001D438+⁡(\U0001D435),\U0001D438×⁡(\U0001D436)}≪|\U0001D434|3/\U0001D440⁡(|\U0001D434|), where\r\n\U0001D440⁡(|\U0001D434|)=min⁡{\U0001D45E4/3/|\U0001D434|1/3⁢(log⁡|\U0001D434|)2/3, |\U0001D434|4/5/\U0001D45E13/5⁢(log⁡|\U0001D434|)27/10}.\r\n \r\nWe also study some related questions on moderate expanders over matrix rings, namely, for \U0001D434,\U0001D435,\U0001D436 ⊆\U0001D43A⁡\U0001D43F2⁡(\U0001D53D\U0001D45E), we have\r\n|\U0001D434⁢\U0001D435+\U0001D436|, |(\U0001D434+\U0001D435)⁢\U0001D436|≫\U0001D45E4,\r\n whenever |\U0001D434|⁢|\U0001D435|⁢|\U0001D436| ≫\U0001D45E10+1/2. These improve earlier results due to Karabulut, Koh, Pham, Shen, and Vinh ([2019], Expanding phenomena over matrix rings, \U0001D439⁡\U0001D45C⁢\U0001D45F⁢\U0001D462⁢\U0001D45A⁢\U0001D440⁢\U0001D44E⁢\U0001D461⁢ℎ., 31, 951–970)." article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Ali full_name: Mohammadi, Ali last_name: Mohammadi - first_name: Thang full_name: Pham, Thang last_name: Pham - first_name: Yiting full_name: Wang, Yiting id: 1917d194-076e-11ed-97cd-837255f88785 last_name: Wang orcid: 0000-0002-2856-767X citation: ama: Mohammadi A, Pham T, Wang Y. An energy decomposition theorem for matrices and related questions. Canadian Mathematical Bulletin. 2023;66(4):1280-1295. doi:10.4153/S000843952300036X apa: Mohammadi, A., Pham, T., & Wang, Y. (2023). An energy decomposition theorem for matrices and related questions. Canadian Mathematical Bulletin. Cambridge University Press. https://doi.org/10.4153/S000843952300036X chicago: Mohammadi, Ali, Thang Pham, and Yiting Wang. “An Energy Decomposition Theorem for Matrices and Related Questions.” Canadian Mathematical Bulletin. Cambridge University Press, 2023. https://doi.org/10.4153/S000843952300036X. ieee: A. Mohammadi, T. Pham, and Y. Wang, “An energy decomposition theorem for matrices and related questions,” Canadian Mathematical Bulletin, vol. 66, no. 4. Cambridge University Press, pp. 1280–1295, 2023. ista: Mohammadi A, Pham T, Wang Y. 2023. An energy decomposition theorem for matrices and related questions. Canadian Mathematical Bulletin. 66(4), 1280–1295. mla: Mohammadi, Ali, et al. “An Energy Decomposition Theorem for Matrices and Related Questions.” Canadian Mathematical Bulletin, vol. 66, no. 4, Cambridge University Press, 2023, pp. 1280–95, doi:10.4153/S000843952300036X. short: A. Mohammadi, T. Pham, Y. Wang, Canadian Mathematical Bulletin 66 (2023) 1280–1295. date_created: 2023-06-11T22:00:40Z date_published: 2023-12-01T00:00:00Z date_updated: 2026-04-08T13:04:49Z day: '01' department: - _id: GradSch doi: 10.4153/S000843952300036X external_id: arxiv: - '2106.07328' isi: - '001011963000001' intvolume: ' 66' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2106.07328 month: '12' oa: 1 oa_version: Preprint page: 1280-1295 publication: Canadian Mathematical Bulletin publication_identifier: eissn: - 1496-4287 issn: - 0008-4395 publication_status: published publisher: Cambridge University Press quality_controlled: '1' scopus_import: '1' status: public title: An energy decomposition theorem for matrices and related questions type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 66 year: '2023' ... --- _id: '12679' abstract: - lang: eng text: How to generate a brain of correct size and with appropriate cell-type diversity during development is a major question in Neuroscience. In the developing neocortex, radial glial progenitor (RGP) cells are the main neural stem cells that produce cortical excitatory projection neurons, glial cells, and establish the prospective postnatal stem cell niche in the lateral ventricles. RGPs follow a tightly orchestrated developmental program that when disrupted can result in severe cortical malformations such as microcephaly and megalencephaly. The precise cellular and molecular mechanisms instructing faithful RGP lineage progression are however not well understood. This review will summarize recent conceptual advances that contribute to our understanding of the general principles of RGP lineage progression. acknowledgement: "I wish to thank all current and past members of the Hippenmeyer laboratory at ISTA for exciting discussions on the subject of this review. I apologize to colleagues whose work I could not cite and/or discuss in the frame of the available space. Work in the Hippenmeyer laboratory on the\r\ndiscussed topic is supported by ISTA institutional funds, FWF SFB F78 to S.H., and the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (grant agree-ment no. 725780 LinPro) to SH." article_number: '102695' article_processing_charge: Yes (via OA deal) article_type: review author: - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 citation: ama: 'Hippenmeyer S. Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. Current Opinion in Neurobiology. 2023;79(4). doi:10.1016/j.conb.2023.102695' apa: 'Hippenmeyer, S. (2023). Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. Current Opinion in Neurobiology. Elsevier. https://doi.org/10.1016/j.conb.2023.102695' chicago: 'Hippenmeyer, Simon. “Principles of Neural Stem Cell Lineage Progression: Insights from Developing Cerebral Cortex.” Current Opinion in Neurobiology. Elsevier, 2023. https://doi.org/10.1016/j.conb.2023.102695.' ieee: 'S. Hippenmeyer, “Principles of neural stem cell lineage progression: Insights from developing cerebral cortex,” Current Opinion in Neurobiology, vol. 79, no. 4. Elsevier, 2023.' ista: 'Hippenmeyer S. 2023. Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. Current Opinion in Neurobiology. 79(4), 102695.' mla: 'Hippenmeyer, Simon. “Principles of Neural Stem Cell Lineage Progression: Insights from Developing Cerebral Cortex.” Current Opinion in Neurobiology, vol. 79, no. 4, 102695, Elsevier, 2023, doi:10.1016/j.conb.2023.102695.' short: S. Hippenmeyer, Current Opinion in Neurobiology 79 (2023). corr_author: '1' date_created: 2023-02-26T12:24:21Z date_published: 2023-04-01T00:00:00Z date_updated: 2025-04-15T08:23:06Z day: '01' ddc: - '570' department: - _id: SiHi doi: 10.1016/j.conb.2023.102695 ec_funded: 1 external_id: isi: - '000953497700001' pmid: - '36842274' file: - access_level: open_access checksum: 4d11c4ca87e6cbc4d2ac46d3225ea615 content_type: application/pdf creator: dernst date_created: 2023-08-16T12:29:06Z date_updated: 2023-08-16T12:29:06Z file_id: '14071' file_name: 2023_CurrentOpinionNeurobio_Hippenmeyer.pdf file_size: 1787894 relation: main_file success: 1 file_date_updated: 2023-08-16T12:29:06Z has_accepted_license: '1' intvolume: ' 79' isi: 1 issue: '4' keyword: - General Neuroscience language: - iso: eng month: '04' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 059F6AB4-7A3F-11EA-A408-12923DDC885E grant_number: F7805 name: Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular Mechanisms of Neural Stem Cell Lineage Progression - _id: 260018B0-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '725780' name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development publication: Current Opinion in Neurobiology publication_identifier: issn: - 0959-4388 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: 'Principles of neural stem cell lineage progression: Insights from developing cerebral cortex' 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 79 year: '2023' ... --- _id: '13126' abstract: - lang: eng text: Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here, we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease. acknowledged_ssus: - _id: ScienComp - _id: Bio - _id: PreCl - _id: LifeSc - _id: M-Shop - _id: E-Lib acknowledgement: "We thank Jakob Vorlaufer, Nathalie Agudelo-Dueñas, Wiebke Jahr, Andreas Wartak for microscope maintenance and troubleshooting, Caroline Kreuzinger, Anna Freeman, and Irene Erber for technical assistance and Matthias Tomschik for support with obtaining human samples. We gratefully acknowledge Eder Miguel for setting up webKnossos and Marek Šuplata for computational support and hardware control. We are grateful to Ryuichi Shigemoto and Bernd Bickel for generous support, and Michael Sixt and Scott Boyd (Stanford University) for discussions and critical reading of the manuscript. PSD95-HaloTag mice were kindly provided by Seth Grant (University of Edinburgh). We acknowledge expert support by IST Austria’s scientific computing, imaging and optics, preclinical, and lab support facilities, and by the Library and Miba machine shop.\r\nWe gratefully acknowledge funding by the following sources: \r\nAustrian Science Fund (FWF) grant I3600-B27 (JGD)\r\nAustrian Science Fund (FWF) grant DK W1232 (JGD, JMM)\r\nAustrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award (PJ)\r\nAustrian Science Funds (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27 (RH)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 715508 – REVERSEAUTISM (GN)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 692692 – GIANTSYN (PJ)\r\nMarie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (JMM, JL)\r\nMarie Skłodowska-Curie Actions Individual Fellowship 101026635 under the EU Horizon 2020 program (JFW)" article_processing_charge: No author: - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 citation: ama: Danzl JG. Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” 2023. doi:10.15479/AT:ISTA:13126 apa: Danzl, J. G. (2023). Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:13126 chicago: Danzl, Johann G. “Research Data for the Publication ‘Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.’” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/AT:ISTA:13126. ieee: J. G. Danzl, “Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales.’” Institute of Science and Technology Austria, 2023. ista: Danzl JG. 2023. Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:13126. mla: Danzl, Johann G. Research Data for the Publication “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” Institute of Science and Technology Austria, 2023, doi:10.15479/AT:ISTA:13126. short: J.G. Danzl, (2023). contributor: - first_name: Julia M id: 443DB6DE-F248-11E8-B48F-1D18A9856A87 last_name: Michalska - first_name: Julia id: 46E28B80-F248-11E8-B48F-1D18A9856A87 last_name: Lyudchik - first_name: Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 - first_name: Hana id: ee3cb6ca-ec98-11ea-ae11-ff703e2254ed last_name: Stefanickova - first_name: Jake id: 63836096-4690-11EA-BD4E-32803DDC885E last_name: Watson orcid: 0000-0002-8698-3823 - first_name: Alban id: 9ac8f577-2357-11eb-997a-e566c5550886 last_name: Cenameri - first_name: Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Nicole id: 4CD6AAC6-F248-11E8-B48F-1D18A9856A87 last_name: Amberg orcid: 0000-0002-3183-8207 - first_name: Alessandro id: 41CB84B2-F248-11E8-B48F-1D18A9856A87 last_name: Venturino orcid: 0000-0003-2356-9403 - first_name: Karl last_name: Roessler - first_name: Thomas last_name: Czech - first_name: Romana last_name: Höftberger - first_name: Sandra id: 36ACD32E-F248-11E8-B48F-1D18A9856A87 last_name: Siegert orcid: 0000-0001-8635-0877 - first_name: Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 corr_author: '1' date_created: 2023-06-07T07:15:12Z date_published: 2023-08-04T00:00:00Z date_updated: 2026-04-14T08:34:35Z day: '04' ddc: - '610' department: - _id: JoDa - _id: SaSi - _id: GaNo - _id: PeJo - _id: Bio - _id: RySh doi: 10.15479/AT:ISTA:13126 ec_funded: 1 file: - access_level: open_access checksum: 6f18ce9b89b47ce5abeb379869ff5c49 content_type: text/plain creator: jdanzl date_created: 2023-08-04T13:19:47Z date_updated: 2023-08-04T13:19:47Z file_id: '13961' file_name: Readme_Michalska_2023.txt file_size: 541 relation: main_file success: 1 - access_level: open_access checksum: 2098e8c5285c5e86cb69075e1b5dcf39 content_type: image/tiff creator: jdanzl date_created: 2023-08-03T11:29:29Z date_updated: 2023-08-03T11:29:29Z file_id: '13482' file_name: Fig1_b_top-left.tif file_size: 64582744 relation: main_file success: 1 - 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_id: 265CB4D0-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: I03600 name: Optical control of synaptic function via adhesion molecules - _id: 26AA4EF2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: W1232-B24 name: Molecular Drug Targets - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: Synaptic communication in neuronal microcircuits - _id: 23889792-32DE-11EA-91FC-C7463DDC885E grant_number: LS18-022 name: High content imaging to decode human immune cell interactions in health and allergic disease - _id: 25444568-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715508' name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models - _id: 25B7EB9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '692692' name: Biophysics and circuit function of a giant cortical glutamatergic synapse - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9 call_identifier: H2020 grant_number: '101026635' name: Synaptic computations of the hippocampal CA3 circuitry publisher: Institute of Science and Technology Austria related_material: link: - description: 'Original data for Fig. 5d, Fig. 5d (N2V) and Fig. 5f-i, provided via an external link due to the large size (>10GB) of the datasets. ' relation: research_data url: https://pub.ista.ac.at/group_danzl/data/CATS/ record: - id: '14257' relation: used_in_publication status: public status: public title: Research data for the publication "Imaging brain tissue architecture across millimeter to nanometer scales" 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: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: publisher OA_type: hybrid _id: '13267' abstract: - lang: eng text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue. acknowledged_ssus: - _id: ScienComp - _id: Bio - _id: PreCl - _id: E-Lib - _id: LifeSc - _id: M-Shop acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata for hardware control support and M. Cunha dos Santos for initial exploration of software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt, S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L. Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and optics, preclinical, library and laboratory support facilities and by the Miba machine shop. We gratefully acknowledge funding by the following sources: Austrian Science Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.) and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D. and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.); and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)." article_processing_charge: Yes (in subscription journal) article_type: original author: - first_name: Philipp full_name: Velicky, Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 - first_name: Eder full_name: Miguel Villalba, Eder id: 3FB91342-F248-11E8-B48F-1D18A9856A87 last_name: Miguel Villalba orcid: 0000-0001-5665-0430 - first_name: Julia M full_name: Michalska, Julia M id: 443DB6DE-F248-11E8-B48F-1D18A9856A87 last_name: Michalska orcid: 0000-0003-3862-1235 - first_name: Julia full_name: Lyudchik, Julia id: 46E28B80-F248-11E8-B48F-1D18A9856A87 last_name: Lyudchik - first_name: Donglai full_name: Wei, Donglai last_name: Wei - first_name: Zudi full_name: Lin, Zudi last_name: Lin - first_name: Jake full_name: Watson, Jake id: 63836096-4690-11EA-BD4E-32803DDC885E last_name: Watson orcid: 0000-0002-8698-3823 - first_name: Jakob full_name: Troidl, Jakob last_name: Troidl - first_name: Johanna full_name: Beyer, Johanna last_name: Beyer - first_name: Yoav full_name: Ben Simon, Yoav id: 43DF3136-F248-11E8-B48F-1D18A9856A87 last_name: Ben Simon - first_name: Christoph M full_name: Sommer, Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Wiebke full_name: Jahr, Wiebke id: 425C1CE8-F248-11E8-B48F-1D18A9856A87 last_name: Jahr orcid: 0000-0003-0201-2315 - first_name: Alban full_name: Cenameri, Alban id: 9ac8f577-2357-11eb-997a-e566c5550886 last_name: Cenameri - first_name: Johannes full_name: Broichhagen, Johannes last_name: Broichhagen - first_name: Seth G.N. full_name: Grant, Seth G.N. last_name: Grant - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Hanspeter full_name: Pfister, Hanspeter last_name: Pfister - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 citation: ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6 apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6 chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6. ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain tissue,” Nature Methods, vol. 20. Springer Nature, pp. 1256–1265, 2023. ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265. mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6. short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, Nature Methods 20 (2023) 1256–1265. corr_author: '1' date_created: 2023-07-23T22:01:13Z date_published: 2023-08-01T00:00:00Z date_updated: 2026-04-07T12:58:30Z day: '01' ddc: - '570' department: - _id: PeJo - _id: GaNo - _id: BeBi - _id: JoDa - _id: Bio doi: 10.1038/s41592-023-01936-6 ec_funded: 1 external_id: isi: - '001025621500001' pmid: - '37429995' file: - access_level: open_access checksum: a68e845780a82ea36d0d4d3212a87c10 content_type: application/pdf creator: dernst date_created: 2025-02-26T08:01:57Z date_updated: 2025-02-26T08:01:57Z file_id: '19088' file_name: 2023_NatureMethods_Velicky.pdf file_size: 14103039 relation: main_file success: 1 file_date_updated: 2025-02-26T08:01:57Z has_accepted_license: '1' intvolume: ' 20' isi: 1 language: - iso: eng month: '08' oa: 1 oa_version: Published Version page: 1256-1265 pmid: 1 project: - _id: 265CB4D0-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: I03600 name: Optical control of synaptic function via adhesion molecules - _id: 2548AE96-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: W1232 name: Molecular Drug Targets - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: Synaptic communication in neuronal microcircuits - _id: 23889792-32DE-11EA-91FC-C7463DDC885E grant_number: LS18-022 name: High content imaging to decode human immune cell interactions in health and allergic disease - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 24F9549A-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715767' name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling' - _id: 25444568-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715508' name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models - _id: 25B7EB9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '692692' name: Biophysics and circuit function of a giant cortical glutamatergic synapse - _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9 call_identifier: H2020 grant_number: '101026635' name: Synaptic computations of the hippocampal CA3 circuitry - _id: 2668BFA0-B435-11E9-9278-68D0E5697425 grant_number: LT00057 name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: software url: https://github.com/danzllab/LIONESS record: - id: '12817' relation: research_data status: public - id: '14770' relation: shorter_version status: public - id: '11943' relation: earlier_version status: public - id: '18674' relation: dissertation_contains status: public scopus_import: '1' status: public title: Dense 4D nanoscale reconstruction of living brain tissue 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 20 year: '2023' ... --- _id: '12817' abstract: - lang: eng text: 3D-reconstruction of living brain tissue down to individual synapse level would create opportunities for decoding the dynamics and structure-function relationships of the brain’s complex and dense information processing network. However, it has been hindered by insufficient 3D-resolution, inadequate signal-to-noise-ratio, and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine learning technology, LIONESS (Live Information-Optimized Nanoscopy Enabling Saturated Segmentation). It leverages optical modifications to stimulated emission depletion (STED) microscopy in comprehensively, extracellularly labelled tissue and prior information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise-ratio, and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D-reconstruction at synapse level incorporating molecular, activity, and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue. acknowledged_ssus: - _id: ScienComp - _id: Bio - _id: PreCl - _id: LifeSc - _id: M-Shop - _id: E-Lib acknowledgement: 'We thank J. Vorlaufer, N. Agudelo, A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, and M. Šuplata for hardware control support, and Márcia Cunha dos Santos for initial exploration of software. We thank Paul Henderson for advice on deep-learning training and Michael Sixt, Scott Boyd, and Tamara Weiss for discussions and critical reading of the manuscript. Luke Lavis (Janelia Research Campus) generously provided JF585-HaloTag ligand. ' article_processing_charge: No author: - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 citation: ama: Danzl JG. Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” 2023. doi:10.15479/AT:ISTA:12817 apa: Danzl, J. G. (2023). Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12817 chicago: Danzl, Johann G. “Research Data for the Publication ‘Dense 4D Nanoscale Reconstruction of Living Brain Tissue.’” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/AT:ISTA:12817. ieee: J. G. Danzl, “Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue.’” Institute of Science and Technology Austria, 2023. ista: Danzl JG. 2023. Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:12817. mla: Danzl, Johann G. Research Data for the Publication “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Institute of Science and Technology Austria, 2023, doi:10.15479/AT:ISTA:12817. short: J.G. Danzl, (2023). contributor: - first_name: Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 - first_name: Eder id: 3FB91342-F248-11E8-B48F-1D18A9856A87 last_name: Miguel Villalba - first_name: Julia M id: 443DB6DE-F248-11E8-B48F-1D18A9856A87 last_name: Michalska - first_name: Julia id: 46E28B80-F248-11E8-B48F-1D18A9856A87 last_name: Lyudchik - first_name: Donglai last_name: Wei - first_name: Zudi last_name: Lin - first_name: Jake id: 63836096-4690-11EA-BD4E-32803DDC885E last_name: Watson orcid: 0000-0002-8698-3823 - first_name: Jakob last_name: Troidl - first_name: Johanna last_name: Beyer - first_name: Yoav id: 43DF3136-F248-11E8-B48F-1D18A9856A87 last_name: Ben Simon - first_name: Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Wiebke id: 425C1CE8-F248-11E8-B48F-1D18A9856A87 last_name: Jahr - first_name: Alban id: 9ac8f577-2357-11eb-997a-e566c5550886 last_name: Cenameri - first_name: Johannes last_name: Broichhagen - first_name: 'Seth G. N. 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access_level: open_access checksum: 47db2185ff2c6ba9b059c9b1a8882832 content_type: application/zip creator: jdanzl date_created: 2023-05-18T15:03:10Z date_updated: 2023-05-18T15:03:10Z file_id: '13000' file_name: Segmentation model.zip file_size: 19052980 relation: main_file success: 1 file_date_updated: 2023-05-18T19:51:52Z has_accepted_license: '1' license: https://creativecommons.org/licenses/by-sa/4.0/ month: '05' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '13267' relation: used_in_publication status: public status: public title: Research data for the publication "Dense 4D nanoscale reconstruction of living brain tissue" tmp: image: /images/cc_by_sa.png legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) short: CC BY-SA (4.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- _id: '14770' abstract: - lang: eng text: We developed LIONESS, a technology that leverages improvements to optical super-resolution microscopy and prior information on sample structure via machine learning to overcome the limitations (in 3D-resolution, signal-to-noise ratio and light exposure) of optical microscopy of living biological specimens. LIONESS enables dense reconstruction of living brain tissue and morphodynamics visualization at the nanoscale. article_processing_charge: No article_type: letter_note author: - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 - first_name: Philipp full_name: Velicky, Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 citation: ama: Danzl JG, Velicky P. LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. 2023;20(8):1141-1142. doi:10.1038/s41592-023-01937-5 apa: Danzl, J. G., & Velicky, P. (2023). LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01937-5 chicago: Danzl, Johann G, and Philipp Velicky. “LIONESS Enables 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01937-5. ieee: J. G. Danzl and P. Velicky, “LIONESS enables 4D nanoscale reconstruction of living brain tissue,” Nature Methods, vol. 20, no. 8. Springer Nature, pp. 1141–1142, 2023. ista: Danzl JG, Velicky P. 2023. LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20(8), 1141–1142. mla: Danzl, Johann G., and Philipp Velicky. “LIONESS Enables 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods, vol. 20, no. 8, Springer Nature, 2023, pp. 1141–42, doi:10.1038/s41592-023-01937-5. short: J.G. Danzl, P. Velicky, Nature Methods 20 (2023) 1141–1142. corr_author: '1' date_created: 2024-01-10T08:07:15Z date_published: 2023-08-01T00:00:00Z date_updated: 2026-04-14T08:34:34Z day: '01' department: - _id: JoDa doi: 10.1038/s41592-023-01937-5 external_id: isi: - '001025621500002' intvolume: ' 20' isi: 1 issue: '8' keyword: - Cell Biology - Molecular Biology - Biochemistry - Biotechnology language: - iso: eng month: '08' oa_version: None page: 1141-1142 publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13267' relation: extended_version status: public scopus_import: '1' status: public title: LIONESS enables 4D nanoscale reconstruction of living brain tissue type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 20 year: '2023' ... --- OA_place: publisher _id: '13107' abstract: - lang: eng text: "Within the human body, the brain exhibits the highest rate of energy consumption amongst all organs, with the majority of generated ATP being utilized to sustain neuronal activity. Therefore, the metabolism of the mature cerebral cortex is geared towards preserving metabolic homeostasis whilst generating significant amounts of energy. This requires a precise interplay between diverse metabolic pathways, spanning from a tissue-wide scale to the level of individual neurons. Disturbances to this delicate metabolic equilibrium, such as those resulting from maternal malnutrition\r\nor mutations affecting metabolic enzymes, often result in neuropathological variants of neurodevelopment. For instance, mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), have been associated with autism and microcephaly. However, despite recent progress in the field, the extent of metabolic restructuring that occurs within the developing brain and the corresponding alterations in nutrient demands during various critical periods remain largely unknown. To investigate this, we performed metabolomic profiling of the murine cerebral cortex to characterize the metabolic state of the forebrain at different developmental stages. We found that the developing cortex undergoes substantial metabolic reprogramming, with specific sets of metabolites displaying stage-specific changes. According to our observations, we determined a distinct temporal period in postnatal development during which the cortex displays heightened reliance on LNAAs. Hence, using a conditional knock-out mouse model, we deleted Slc7a5 in neural cells, allowing us to monitor the impact of a perturbed neuronal metabolic state across multiple developmental stages of corticogenesis. We found that manipulating the levels of essential LNAAs in cortical neurons in vivo affects one particular perinatal developmental period critical for cortical network refinement. Abnormally low intracellular LNAA levels result in cell-autonomous alterations in neuronal lipid metabolism, excitability, and survival during this particular time window. Although most of the effects of Slc7a5 deletion on neuronal physiology are transient, derailment of these processes during this brief but crucial window leads to long-term circuit dysfunction in mice. In conclusion, out data indicate that the cerebral cortex undergoes significant metabolic reorganization during development. This process involves the intricate integration of multiple metabolic pathways to ensure optimal neuronal function throughout different developmental stages. Our findings offer a paradigm for understanding how neurons synchronize the expression of nutrient-related genes with their activity to allow proper brain maturation. Further, our results demonstrate that disruptions in these precisely calibrated metabolic processes during critical periods of brain development may result in neuropathological outcomes in mice and in humans." acknowledged_ssus: - _id: PreCl - _id: Bio - _id: EM-Fac alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Lisa full_name: Knaus, Lisa id: 3B2ABCF4-F248-11E8-B48F-1D18A9856A87 last_name: Knaus citation: ama: 'Knaus L. The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival. 2023. doi:10.15479/at:ista:13107' apa: 'Knaus, L. (2023). The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13107' chicago: 'Knaus, Lisa. “The Metabolism of the Developing Brain : How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:13107.' ieee: 'L. Knaus, “The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival,” Institute of Science and Technology Austria, 2023.' ista: 'Knaus L. 2023. The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival. Institute of Science and Technology Austria.' mla: 'Knaus, Lisa. The Metabolism of the Developing Brain : How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13107.' short: 'L. Knaus, The Metabolism of the Developing Brain : How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival, Institute of Science and Technology Austria, 2023.' corr_author: '1' date_created: 2023-06-01T09:05:24Z date_published: 2023-05-31T00:00:00Z date_updated: 2026-04-14T08:34:36Z day: '31' ddc: - '570' degree_awarded: PhD department: - _id: GradSch - _id: GaNo doi: 10.15479/at:ista:13107 ec_funded: 1 file: - access_level: closed checksum: 4b69a4ac0bbf4163d59c0b58dcb4f2c3 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: lknaus date_created: 2023-06-01T13:48:41Z date_updated: 2023-06-01T13:48:41Z file_id: '13112' file_name: Thesis_Lisa Knaus_approved_final.docx file_size: 12991551 relation: source_file - access_level: open_access checksum: 6903d152aa01181d87a696085af31c83 content_type: application/pdf creator: lknaus date_created: 2023-06-02T09:47:29Z date_updated: 2023-06-07T08:41:49Z file_id: '13114' file_name: Thesis_Lisa Knaus_approved_final_pdfa2b.pdf file_size: 9309015 relation: main_file file_date_updated: 2023-06-07T08:41:49Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '147' project: - _id: 25444568-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715508' name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models - _id: 2548AE96-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: W1232 name: Molecular Drug Targets publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '12802' relation: part_of_dissertation status: public status: public supervisor: - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 title: 'The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival' type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2023' ... --- _id: '12802' abstract: - lang: eng text: Little is known about the critical metabolic changes that neural cells have to undergo during development and how temporary shifts in this program can influence brain circuitries and behavior. Inspired by the discovery that mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), lead to autism, we employed metabolomic profiling to study the metabolic states of the cerebral cortex across different developmental stages. We found that the forebrain undergoes significant metabolic remodeling throughout development, with certain groups of metabolites showing stage-specific changes, but what are the consequences of perturbing this metabolic program? By manipulating Slc7a5 expression in neural cells, we found that the metabolism of LNAAs and lipids are interconnected in the cortex. Deletion of Slc7a5 in neurons affects the postnatal metabolic state, leading to a shift in lipid metabolism. Additionally, it causes stage- and cell-type-specific alterations in neuronal activity patterns, resulting in a long-term circuit dysfunction. acknowledged_ssus: - _id: PreCl - _id: EM-Fac - _id: Bio - _id: LifeSc acknowledgement: We thank A. Freeman and V. Voronin for technical assistance, S. Deixler, A. Stichelberger, M. Schunn, and the Preclinical Facility for managing our animal colony. We thank L. Andersen and J. Sonntag, who were involved in generating the MADM lines. We thank the ISTA LSF Mass Spectrometry Core Facility for assistance with the proteomic analysis, as well as the ISTA electron microscopy and Imaging and Optics facility for technical support. Metabolomics LC-MS/MS analysis was performed by the Metabolomics Facility at Vienna BioCenter Core Facilities (VBCF). We acknowledge the support of the EMBL Metabolomics Core Facility (MCF) for lipidomics and intracellular metabolomics mass spectrometry data acquisition and analysis. RNA sequencing was performed by the Next Generation Sequencing Facility at VBCF. Schematics were generated using Biorender.com. This work was supported by the Austrian Science Fund (FWF, DK W1232-B24) and by the European Union’s Horizon 2020 research and innovation program (ERC) grant 725780 (LinPro) to S.H. and 715508 (REVERSEAUTISM) to G.N. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Lisa full_name: Knaus, Lisa id: 3B2ABCF4-F248-11E8-B48F-1D18A9856A87 last_name: Knaus - first_name: Bernadette full_name: Basilico, Bernadette id: 36035796-5ACA-11E9-A75E-7AF2E5697425 last_name: Basilico orcid: 0000-0003-1843-3173 - first_name: Daniel full_name: Malzl, Daniel last_name: Malzl - first_name: Maria full_name: Gerykova Bujalkova, Maria last_name: Gerykova Bujalkova - first_name: Mateja full_name: Smogavec, Mateja last_name: Smogavec - first_name: Lena A. full_name: Schwarz, Lena A. last_name: Schwarz - first_name: Sarah full_name: Gorkiewicz, Sarah id: f141a35d-15a9-11ec-9fb2-fef6becc7b6f last_name: Gorkiewicz - first_name: Nicole full_name: Amberg, Nicole id: 4CD6AAC6-F248-11E8-B48F-1D18A9856A87 last_name: Amberg orcid: 0000-0002-3183-8207 - first_name: Florian full_name: Pauler, Florian id: 48EA0138-F248-11E8-B48F-1D18A9856A87 last_name: Pauler orcid: 0000-0002-7462-0048 - first_name: Christian full_name: Knittl-Frank, Christian last_name: Knittl-Frank - first_name: Marianna full_name: Tassinari, Marianna id: 7af593f1-d44a-11ed-bf94-a3646a6bb35e last_name: Tassinari - first_name: Nuno full_name: Maulide, Nuno last_name: Maulide - first_name: Thomas full_name: Rülicke, Thomas last_name: Rülicke - first_name: Jörg full_name: Menche, Jörg last_name: Menche - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 citation: ama: Knaus L, Basilico B, Malzl D, et al. Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 2023;186(9):1950-1967.e25. doi:10.1016/j.cell.2023.02.037 apa: Knaus, L., Basilico, B., Malzl, D., Gerykova Bujalkova, M., Smogavec, M., Schwarz, L. A., … Novarino, G. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. Elsevier. https://doi.org/10.1016/j.cell.2023.02.037 chicago: Knaus, Lisa, Bernadette Basilico, Daniel Malzl, Maria Gerykova Bujalkova, Mateja Smogavec, Lena A. Schwarz, Sarah Gorkiewicz, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” Cell. Elsevier, 2023. https://doi.org/10.1016/j.cell.2023.02.037. ieee: L. Knaus et al., “Large neutral amino acid levels tune perinatal neuronal excitability and survival,” Cell, vol. 186, no. 9. Elsevier, p. 1950–1967.e25, 2023. ista: Knaus L, Basilico B, Malzl D, Gerykova Bujalkova M, Smogavec M, Schwarz LA, Gorkiewicz S, Amberg N, Pauler F, Knittl-Frank C, Tassinari M, Maulide N, Rülicke T, Menche J, Hippenmeyer S, Novarino G. 2023. Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 186(9), 1950–1967.e25. mla: Knaus, Lisa, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” Cell, vol. 186, no. 9, Elsevier, 2023, p. 1950–1967.e25, doi:10.1016/j.cell.2023.02.037. short: L. Knaus, B. Basilico, D. Malzl, M. Gerykova Bujalkova, M. Smogavec, L.A. Schwarz, S. Gorkiewicz, N. Amberg, F. Pauler, C. Knittl-Frank, M. Tassinari, N. Maulide, T. Rülicke, J. Menche, S. Hippenmeyer, G. Novarino, Cell 186 (2023) 1950–1967.e25. corr_author: '1' date_created: 2023-04-05T08:15:40Z date_published: 2023-04-27T00:00:00Z date_updated: 2026-04-14T08:34:36Z day: '27' ddc: - '570' department: - _id: SiHi - _id: GaNo doi: 10.1016/j.cell.2023.02.037 ec_funded: 1 external_id: isi: - '000991468700001' pmid: - '36996814' file: - access_level: open_access checksum: 47e94fbe19e86505b429cb7a5b503ce6 content_type: application/pdf creator: dernst date_created: 2023-05-02T09:26:21Z date_updated: 2023-05-02T09:26:21Z file_id: '12889' file_name: 2023_Cell_Knaus.pdf file_size: 15712841 relation: main_file success: 1 file_date_updated: 2023-05-02T09:26:21Z has_accepted_license: '1' intvolume: ' 186' isi: 1 issue: '9' keyword: - General Biochemistry - Genetics and Molecular Biology language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 1950-1967.e25 pmid: 1 project: - _id: 2548AE96-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: W1232 name: Molecular Drug Targets - _id: 260018B0-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '725780' name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development - _id: 25444568-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715508' name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models publication: Cell publication_identifier: issn: - 0092-8674 publication_status: published publisher: Elsevier quality_controlled: '1' related_material: link: - description: News on ISTA Website relation: press_release url: https://ista.ac.at/en/news/feed-them-or-lose-them/ record: - id: '19557' relation: dissertation_contains status: public - id: '13107' relation: dissertation_contains status: public scopus_import: '1' status: public title: Large neutral amino acid levels tune perinatal neuronal excitability and survival 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 186 year: '2023' ... --- _id: '14484' abstract: - lang: eng text: Intercellular signaling molecules, known as morphogens, act at a long range in developing tissues to provide spatial information and control properties such as cell fate and tissue growth. The production, transport, and removal of morphogens shape their concentration profiles in time and space. Downstream signaling cascades and gene regulatory networks within cells then convert the spatiotemporal morphogen profiles into distinct cellular responses. Current challenges are to understand the diverse molecular and cellular mechanisms underlying morphogen gradient formation, as well as the logic of downstream regulatory circuits involved in morphogen interpretation. This knowledge, combining experimental and theoretical results, is essential to understand emerging properties of morphogen-controlled systems, such as robustness and scaling. acknowledgement: We are grateful to Zena Hadjivasiliou for comments on this article. A.K. is supported by grants from the European Research Council under the European Union (EU) Horizon 2020 research and innovation program (680037) and Horizon Europe (101044579), and the Austrian Science Fund (F78) (Stem Cell Modulation). J.B. is supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK (CC001051), the UK Medical Research Council (CC001051), and the Wellcome Trust (CC001051), and by a grant from the European Research Council under the EU Horizon 2020 research and innovation program (742138). article_processing_charge: Yes (in subscription journal) article_type: review author: - first_name: Anna full_name: Kicheva, Anna id: 3959A2A0-F248-11E8-B48F-1D18A9856A87 last_name: Kicheva orcid: 0000-0003-4509-4998 - first_name: James full_name: Briscoe, James last_name: Briscoe citation: ama: Kicheva A, Briscoe J. Control of tissue development by morphogens. Annual Review of Cell and Developmental Biology. 2023;39:91-121. doi:10.1146/annurev-cellbio-020823-011522 apa: Kicheva, A., & Briscoe, J. (2023). Control of tissue development by morphogens. Annual Review of Cell and Developmental Biology. Annual Reviews. https://doi.org/10.1146/annurev-cellbio-020823-011522 chicago: Kicheva, Anna, and James Briscoe. “Control of Tissue Development by Morphogens.” Annual Review of Cell and Developmental Biology. Annual Reviews, 2023. https://doi.org/10.1146/annurev-cellbio-020823-011522. ieee: A. Kicheva and J. Briscoe, “Control of tissue development by morphogens,” Annual Review of Cell and Developmental Biology, vol. 39. Annual Reviews, pp. 91–121, 2023. ista: Kicheva A, Briscoe J. 2023. Control of tissue development by morphogens. Annual Review of Cell and Developmental Biology. 39, 91–121. mla: Kicheva, Anna, and James Briscoe. “Control of Tissue Development by Morphogens.” Annual Review of Cell and Developmental Biology, vol. 39, Annual Reviews, 2023, pp. 91–121, doi:10.1146/annurev-cellbio-020823-011522. short: A. Kicheva, J. Briscoe, Annual Review of Cell and Developmental Biology 39 (2023) 91–121. corr_author: '1' date_created: 2023-11-05T23:00:53Z date_published: 2023-10-16T00:00:00Z date_updated: 2025-12-30T10:57:08Z day: '16' ddc: - '570' department: - _id: AnKi doi: 10.1146/annurev-cellbio-020823-011522 ec_funded: 1 external_id: isi: - '001082823000006' pmid: - '37418774' file: - access_level: open_access checksum: 461726014cf5907010afbd418d3c13ec content_type: application/pdf creator: dernst date_created: 2023-11-06T09:47:50Z date_updated: 2023-11-06T09:47:50Z file_id: '14491' file_name: 2023_AnnualReviews_Kicheva.pdf file_size: 434819 relation: main_file success: 1 file_date_updated: 2023-11-06T09:47:50Z has_accepted_license: '1' intvolume: ' 39' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 91-121 pmid: 1 project: - _id: B6FC0238-B512-11E9-945C-1524E6697425 call_identifier: H2020 grant_number: '680037' name: Coordination of Patterning And Growth In the Spinal Cord - _id: bd7e737f-d553-11ed-ba76-d69ffb5ee3aa grant_number: '101044579' name: Mechanisms of tissue size regulation in spinal cord development - _id: 059DF620-7A3F-11EA-A408-12923DDC885E grant_number: F7802 name: Stem Cell Modulation in Neural Development and Regeneration/ P02-Morphogen control of growth and pattern in the spinal cord publication: Annual Review of Cell and Developmental Biology publication_identifier: eissn: - 1530-8995 issn: - 1081-0706 publication_status: published publisher: Annual Reviews quality_controlled: '1' scopus_import: '1' status: public title: Control of tissue development by morphogens 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 39 year: '2023' ...