--- _id: '8125' abstract: - lang: eng text: Context, such as behavioral state, is known to modulate memory formation and retrieval, but is usually ignored in associative memory models. Here, we propose several types of contextual modulation for associative memory networks that greatly increase their performance. In these networks, context inactivates specific neurons and connections, which modulates the effective connectivity of the network. Memories are stored only by the active components, thereby reducing interference from memories acquired in other contexts. Such networks exhibit several beneficial characteristics, including enhanced memory capacity, high robustness to noise, increased robustness to memory overloading, and better memory retention during continual learning. Furthermore, memories can be biased to have different relative strengths, or even gated on or off, according to contextual cues, providing a candidate model for cognitive control of memory and efficient memory search. An external context-encoding network can dynamically switch the memory network to a desired state, which we liken to experimentally observed contextual signals in prefrontal cortex and hippocampus. Overall, our work illustrates the benefits of organizing memory around context, and provides an important link between behavioral studies of memory and mechanistic details of neural circuits.SIGNIFICANCEMemory is context dependent — both encoding and recall vary in effectiveness and speed depending on factors like location and brain state during a task. We apply this idea to a simple computational model of associative memory through contextual gating of neurons and synaptic connections. Intriguingly, this results in several advantages, including vastly enhanced memory capacity, better robustness, and flexible memory gating. Our model helps to explain (i) how gating and inhibition contribute to memory processes, (ii) how memory access dynamically changes over time, and (iii) how context representations, such as those observed in hippocampus and prefrontal cortex, may interact with and control memory processes. article_processing_charge: No author: - first_name: William F. full_name: Podlaski, William F. last_name: Podlaski orcid: 0000-0001-6619-7502 - first_name: Everton J. full_name: Agnes, Everton J. last_name: Agnes orcid: 0000-0001-7184-7311 - first_name: Tim P full_name: Vogels, Tim P id: CB6FF8D2-008F-11EA-8E08-2637E6697425 last_name: Vogels orcid: 0000-0003-3295-6181 citation: ama: Podlaski WF, Agnes EJ, Vogels TP. High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating. bioRxiv. 2022. doi:10.1101/2020.01.08.898528 apa: Podlaski, W. F., Agnes, E. J., & Vogels, T. P. (2022). High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.01.08.898528 chicago: Podlaski, William F., Everton J. Agnes, and Tim P Vogels. “High Capacity and Dynamic Accessibility in Associative Memory Networks with Context-Dependent Neuronal and Synaptic Gating.” BioRxiv. Cold Spring Harbor Laboratory, 2022. https://doi.org/10.1101/2020.01.08.898528. ieee: W. F. Podlaski, E. J. Agnes, and T. P. Vogels, “High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating,” bioRxiv. Cold Spring Harbor Laboratory, 2022. ista: Podlaski WF, Agnes EJ, Vogels TP. 2022. High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating. bioRxiv, 10.1101/2020.01.08.898528. mla: Podlaski, William F., et al. “High Capacity and Dynamic Accessibility in Associative Memory Networks with Context-Dependent Neuronal and Synaptic Gating.” BioRxiv, Cold Spring Harbor Laboratory, 2022, doi:10.1101/2020.01.08.898528. short: W.F. Podlaski, E.J. Agnes, T.P. Vogels, BioRxiv (2022). date_created: 2020-07-16T12:24:28Z date_published: 2022-12-21T00:00:00Z date_updated: 2024-03-06T12:03:59Z day: '21' department: - _id: TiVo doi: 10.1101/2020.01.08.898528 language: - iso: eng locked: '1' main_file_link: - open_access: '1' url: 'https://doi.org/10.1101/2020.01.08.898528 ' month: '12' oa: 1 oa_version: Preprint publication: bioRxiv publication_status: published publisher: Cold Spring Harbor Laboratory status: public title: High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '7577' abstract: - lang: eng text: Weak convergence of inertial iterative method for solving variational inequalities is the focus of this paper. The cost function is assumed to be non-Lipschitz and monotone. We propose a projection-type method with inertial terms and give weak convergence analysis under appropriate conditions. Some test results are performed and compared with relevant methods in the literature to show the efficiency and advantages given by our proposed methods. acknowledgement: The project of the first author has received funding from the European Research Council (ERC) under the European Union's Seventh Framework Program (FP7 - 2007-2013) (Grant agreement No. 616160). article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Yekini full_name: Shehu, Yekini id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87 last_name: Shehu orcid: 0000-0001-9224-7139 - first_name: Olaniyi S. full_name: Iyiola, Olaniyi S. last_name: Iyiola citation: ama: Shehu Y, Iyiola OS. Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. 2022;101(1):192-216. doi:10.1080/00036811.2020.1736287 apa: Shehu, Y., & Iyiola, O. S. (2022). Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. Taylor & Francis. https://doi.org/10.1080/00036811.2020.1736287 chicago: Shehu, Yekini, and Olaniyi S. Iyiola. “Weak Convergence for Variational Inequalities with Inertial-Type Method.” Applicable Analysis. Taylor & Francis, 2022. https://doi.org/10.1080/00036811.2020.1736287. ieee: Y. Shehu and O. S. Iyiola, “Weak convergence for variational inequalities with inertial-type method,” Applicable Analysis, vol. 101, no. 1. Taylor & Francis, pp. 192–216, 2022. ista: Shehu Y, Iyiola OS. 2022. Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. 101(1), 192–216. mla: Shehu, Yekini, and Olaniyi S. Iyiola. “Weak Convergence for Variational Inequalities with Inertial-Type Method.” Applicable Analysis, vol. 101, no. 1, Taylor & Francis, 2022, pp. 192–216, doi:10.1080/00036811.2020.1736287. short: Y. Shehu, O.S. Iyiola, Applicable Analysis 101 (2022) 192–216. date_created: 2020-03-09T07:06:52Z date_published: 2022-01-01T00:00:00Z date_updated: 2024-03-05T14:01:52Z day: '01' ddc: - '510' - '515' - '518' department: - _id: VlKo doi: 10.1080/00036811.2020.1736287 ec_funded: 1 external_id: arxiv: - '2101.08057' isi: - '000518364100001' file: - access_level: open_access checksum: 869efe8cb09505dfa6012f67d20db63d content_type: application/pdf creator: dernst date_created: 2020-10-12T10:42:54Z date_updated: 2021-03-16T23:30:06Z embargo: 2021-03-15 file_id: '8648' file_name: 2020_ApplicAnalysis_Shehu.pdf file_size: 4282586 relation: main_file file_date_updated: 2021-03-16T23:30:06Z has_accepted_license: '1' intvolume: ' 101' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 192-216 project: - _id: 25FBA906-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '616160' name: 'Discrete Optimization in Computer Vision: Theory and Practice' publication: Applicable Analysis publication_identifier: eissn: - 1563-504X issn: - 0003-6811 publication_status: published publisher: Taylor & Francis quality_controlled: '1' scopus_import: '1' status: public title: Weak convergence for variational inequalities with inertial-type method type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 101 year: '2022' ... --- _id: '14355' abstract: - lang: eng text: 'Purpose: The mediator (MED) multisubunit-complex modulates the activity of the transcriptional machinery, and genetic defects in different MED subunits (17, 20, 27) have been implicated in neurologic diseases. In this study, we identified a recurrent homozygous variant in MED11 (c.325C>T; p.Arg109Ter) in 7 affected individuals from 5 unrelated families. Methods: To investigate the genetic cause of the disease, exome or genome sequencing were performed in 5 unrelated families identified via different research networks and Matchmaker Exchange. Deep clinical and brain imaging evaluations were performed by clinical pediatric neurologists and neuroradiologists. The functional effect of the candidate variant on both MED11 RNA and protein was assessed using reverse transcriptase polymerase chain reaction and western blotting using fibroblast cell lines derived from 1 affected individual and controls and through computational approaches. Knockouts in zebrafish were generated using clustered regularly interspaced short palindromic repeats/Cas9. Results: The disease was characterized by microcephaly, profound neurodevelopmental impairment, exaggerated startle response, myoclonic seizures, progressive widespread neurodegeneration, and premature death. Functional studies on patient-derived fibroblasts did not show a loss of protein function but rather disruption of the C-terminal of MED11, likely impairing binding to other MED subunits. A zebrafish knockout model recapitulates key clinical phenotypes. Conclusion: Loss of the C-terminal of MED subunit 11 may affect its binding efficiency to other MED subunits, thus implicating the MED-complex stability in brain development and neurodegeneration. (C) 2022 The Authors. Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.' article_processing_charge: No article_type: original author: - first_name: Elisa full_name: Cali, Elisa last_name: Cali - first_name: Sheng-Jia full_name: Lin, Sheng-Jia last_name: Lin - first_name: Clarissa full_name: Rocca, Clarissa last_name: Rocca - first_name: Yavuz full_name: Sahin, Yavuz last_name: Sahin - first_name: Aisha full_name: Al Shamsi, Aisha last_name: Al Shamsi - first_name: Salima full_name: El Chehadeh, Salima last_name: El Chehadeh - first_name: Myriam full_name: Chaabouni, Myriam last_name: Chaabouni - first_name: Kshitij full_name: Mankad, Kshitij last_name: Mankad - first_name: Evangelia full_name: Galanaki, Evangelia last_name: Galanaki - first_name: Stephanie full_name: Efthymiou, Stephanie last_name: Efthymiou - first_name: Sniya full_name: Sudhakar, Sniya last_name: Sudhakar - first_name: Alkyoni full_name: Athanasiou-Fragkouli, Alkyoni last_name: Athanasiou-Fragkouli - first_name: Tamer full_name: Celik, Tamer last_name: Celik - first_name: Nejat full_name: Narli, Nejat last_name: Narli - first_name: Sebastiano full_name: Bianca, Sebastiano last_name: Bianca - first_name: David full_name: Murphy, David last_name: Murphy - first_name: Francisco Martins De Carvalho full_name: Moreira, Francisco Martins De Carvalho last_name: Moreira - first_name: Andrea full_name: Accogli, Andrea last_name: Accogli - first_name: Cassidy full_name: Petree, Cassidy last_name: Petree - first_name: Kevin full_name: Huang, Kevin id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3 last_name: Huang orcid: 0000-0002-2512-7812 - first_name: Kamel full_name: Monastiri, Kamel last_name: Monastiri - first_name: Masoud full_name: Edizadeh, Masoud last_name: Edizadeh - first_name: Rosaria full_name: Nardello, Rosaria last_name: Nardello - first_name: Marzia full_name: Ognibene, Marzia last_name: Ognibene - first_name: Patrizia full_name: De Marco, Patrizia last_name: De Marco - first_name: Martino full_name: Ruggieri, Martino last_name: Ruggieri - first_name: Federico full_name: Zara, Federico last_name: Zara - first_name: Pasquale full_name: Striano, Pasquale last_name: Striano - first_name: Yavuz full_name: Sahin, Yavuz last_name: Sahin - first_name: Lihadh full_name: Al-Gazali, Lihadh last_name: Al-Gazali - first_name: Marie Therese Abi full_name: Warde, Marie Therese Abi last_name: Warde - first_name: Benedicte full_name: Gerard, Benedicte last_name: Gerard - first_name: Giovanni full_name: Zifarelli, Giovanni last_name: Zifarelli - first_name: Christian full_name: Beetz, Christian last_name: Beetz - first_name: Sara full_name: Fortuna, Sara last_name: Fortuna - first_name: Miguel full_name: Soler, Miguel last_name: Soler - first_name: Enza Maria full_name: Valente, Enza Maria last_name: Valente - first_name: Gaurav full_name: Varshney, Gaurav last_name: Varshney - first_name: Reza full_name: Maroofian, Reza last_name: Maroofian - first_name: Vincenzo full_name: Salpietro, Vincenzo last_name: Salpietro - first_name: Henry full_name: Houlden, Henry last_name: Houlden - first_name: SYNaPS Study full_name: Grp, SYNaPS Study last_name: Grp citation: ama: Cali E, Lin S-J, Rocca C, et al. A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease. Genetics in Medicine. 2022;24(10):2194-2203. doi:10.1016/j.gim.2022.07.013 apa: Cali, E., Lin, S.-J., Rocca, C., Sahin, Y., Al Shamsi, A., El Chehadeh, S., … Grp, Syn. S. (2022). A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease. Genetics in Medicine. Elsevier. https://doi.org/10.1016/j.gim.2022.07.013 chicago: Cali, Elisa, Sheng-Jia Lin, Clarissa Rocca, Yavuz Sahin, Aisha Al Shamsi, Salima El Chehadeh, Myriam Chaabouni, et al. “A Homozygous MED11 C-Terminal Variant Causes a Lethal Neurodegenerative Disease.” Genetics in Medicine. Elsevier, 2022. https://doi.org/10.1016/j.gim.2022.07.013. ieee: E. Cali et al., “A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease,” Genetics in Medicine, vol. 24, no. 10. Elsevier, pp. 2194–2203, 2022. ista: Cali E, Lin S-J, Rocca C, Sahin Y, Al Shamsi A, El Chehadeh S, Chaabouni M, Mankad K, Galanaki E, Efthymiou S, Sudhakar S, Athanasiou-Fragkouli A, Celik T, Narli N, Bianca S, Murphy D, Moreira FMDC, Accogli A, Petree C, Huang K, Monastiri K, Edizadeh M, Nardello R, Ognibene M, De Marco P, Ruggieri M, Zara F, Striano P, Sahin Y, Al-Gazali L, Warde MTA, Gerard B, Zifarelli G, Beetz C, Fortuna S, Soler M, Valente EM, Varshney G, Maroofian R, Salpietro V, Houlden H, Grp SynS. 2022. A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease. Genetics in Medicine. 24(10), 2194–2203. mla: Cali, Elisa, et al. “A Homozygous MED11 C-Terminal Variant Causes a Lethal Neurodegenerative Disease.” Genetics in Medicine, vol. 24, no. 10, Elsevier, 2022, pp. 2194–203, doi:10.1016/j.gim.2022.07.013. short: E. Cali, S.-J. Lin, C. Rocca, Y. Sahin, A. Al Shamsi, S. El Chehadeh, M. Chaabouni, K. Mankad, E. Galanaki, S. Efthymiou, S. Sudhakar, A. Athanasiou-Fragkouli, T. Celik, N. Narli, S. Bianca, D. Murphy, F.M.D.C. Moreira, A. Accogli, C. Petree, K. Huang, K. Monastiri, M. Edizadeh, R. Nardello, M. Ognibene, P. De Marco, M. Ruggieri, F. Zara, P. Striano, Y. Sahin, L. Al-Gazali, M.T.A. Warde, B. Gerard, G. Zifarelli, C. Beetz, S. Fortuna, M. Soler, E.M. Valente, G. Varshney, R. Maroofian, V. Salpietro, H. Houlden, Syn.S. Grp, Genetics in Medicine 24 (2022) 2194–2203. date_created: 2023-09-20T20:57:18Z date_published: 2022-10-01T00:00:00Z date_updated: 2023-09-25T08:57:07Z day: '01' ddc: - '570' department: - _id: GradSch doi: 10.1016/j.gim.2022.07.013 extern: '1' file: - access_level: open_access checksum: 8117175a89129eb5022d81ffe7625f9f content_type: application/pdf creator: dernst date_created: 2023-09-25T08:56:06Z date_updated: 2023-09-25T08:56:06Z file_id: '14371' file_name: 2022_GeneticsMedicine_Calin.pdf file_size: 1434037 relation: main_file success: 1 file_date_updated: 2023-09-25T08:56:06Z has_accepted_license: '1' intvolume: ' 24' issue: '10' keyword: - Human mediator complex - MED11 - MEDopathies language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 2194-2203 publication: Genetics in Medicine publication_identifier: issn: - 1098-3600 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease 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: 24 year: '2022' ... --- _id: '14356' abstract: - lang: eng text: Aminoacyl-tRNA synthetases (ARSs) are essential enzymes for faithful assignment of amino acids to their cognate tRNA. Variants in ARS genes are frequently associated with clinically heterogeneous phenotypes in humans and follow both autosomal dominant or recessive inheritance patterns in many instances. Variants in tryptophanyl-tRNA synthetase 1 (WARS1) cause autosomal dominantly inherited distal hereditary motor neuropathy and Charcot-Marie-Tooth disease. Presently, only one family with biallelic WARS1 variants has been described. We present three affected individuals from two families with biallelic variants (p.Met1? and p.(Asp419Asn)) in WARS1, showing varying severities of developmental delay and intellectual disability. Hearing impairment and microcephaly, as well as abnormalities of the brain, skeletal system, movement/gait, and behavior were variable features. Phenotyping of knocked down wars-1 in a Caenorhabditis elegans model showed depletion is associated with defects in germ cell development. A wars1 knockout vertebrate model recapitulates the human clinical phenotypes, confirms variant pathogenicity, and uncovers evidence implicating the p.Met1? variant as potentially impacting an exon critical for normal hearing. Together, our findings provide consolidating evidence for biallelic disruption of WARS1 as causal for an autosomal recessive neurodevelopmental syndrome and present a vertebrate model that recapitulates key phenotypes observed in patients. article_processing_charge: No article_type: original author: - first_name: Sheng-Jia full_name: Lin, Sheng-Jia last_name: Lin - first_name: Barbara full_name: Vona, Barbara last_name: Vona - first_name: Hillary M. full_name: Porter, Hillary M. last_name: Porter - first_name: Mahmoud full_name: Izadi, Mahmoud last_name: Izadi - first_name: Kevin full_name: Huang, Kevin id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3 last_name: Huang orcid: 0000-0002-2512-7812 - first_name: Yves full_name: Lacassie, Yves last_name: Lacassie - first_name: Jill A. full_name: Rosenfeld, Jill A. last_name: Rosenfeld - first_name: Saadullah full_name: Khan, Saadullah last_name: Khan - first_name: Cassidy full_name: Petree, Cassidy last_name: Petree - first_name: Tayyiba A. full_name: Ali, Tayyiba A. last_name: Ali - first_name: Nazif full_name: Muhammad, Nazif last_name: Muhammad - first_name: Sher A. full_name: Khan, Sher A. last_name: Khan - first_name: Noor full_name: Muhammad, Noor last_name: Muhammad - first_name: Pengfei full_name: Liu, Pengfei last_name: Liu - first_name: Marie-Louise full_name: Haymon, Marie-Louise last_name: Haymon - first_name: Franz full_name: Rueschendorf, Franz last_name: Rueschendorf - first_name: Il-Keun full_name: Kong, Il-Keun last_name: Kong - first_name: Linda full_name: Schnapp, Linda last_name: Schnapp - first_name: Natasha full_name: Shur, Natasha last_name: Shur - first_name: Lynn full_name: Chorich, Lynn last_name: Chorich - first_name: Lawrence full_name: Layman, Lawrence last_name: Layman - first_name: Thomas full_name: Haaf, Thomas last_name: Haaf - first_name: Ehsan full_name: Pourkarimi, Ehsan last_name: Pourkarimi - first_name: Hyung-Goo full_name: Kim, Hyung-Goo last_name: Kim - first_name: Gaurav K. full_name: Varshney, Gaurav K. last_name: Varshney citation: ama: Lin S-J, Vona B, Porter HM, et al. Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function. Human Mutation. 2022;43(10):1472-1489. doi:10.1002/humu.24435 apa: Lin, S.-J., Vona, B., Porter, H. M., Izadi, M., Huang, K., Lacassie, Y., … Varshney, G. K. (2022). Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function. Human Mutation. Wiley. https://doi.org/10.1002/humu.24435 chicago: Lin, Sheng-Jia, Barbara Vona, Hillary M. Porter, Mahmoud Izadi, Kevin Huang, Yves Lacassie, Jill A. Rosenfeld, et al. “Biallelic Variants in WARS1 Cause a Highly Variable Neurodevelopmental Syndrome and Implicate a Critical Exon for Normal Auditory Function.” Human Mutation. Wiley, 2022. https://doi.org/10.1002/humu.24435. ieee: S.-J. Lin et al., “Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function,” Human Mutation, vol. 43, no. 10. Wiley, pp. 1472–1489, 2022. ista: Lin S-J, Vona B, Porter HM, Izadi M, Huang K, Lacassie Y, Rosenfeld JA, Khan S, Petree C, Ali TA, Muhammad N, Khan SA, Muhammad N, Liu P, Haymon M-L, Rueschendorf F, Kong I-K, Schnapp L, Shur N, Chorich L, Layman L, Haaf T, Pourkarimi E, Kim H-G, Varshney GK. 2022. Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function. Human Mutation. 43(10), 1472–1489. mla: Lin, Sheng-Jia, et al. “Biallelic Variants in WARS1 Cause a Highly Variable Neurodevelopmental Syndrome and Implicate a Critical Exon for Normal Auditory Function.” Human Mutation, vol. 43, no. 10, Wiley, 2022, pp. 1472–89, doi:10.1002/humu.24435. short: S.-J. Lin, B. Vona, H.M. Porter, M. Izadi, K. Huang, Y. Lacassie, J.A. Rosenfeld, S. Khan, C. Petree, T.A. Ali, N. Muhammad, S.A. Khan, N. Muhammad, P. Liu, M.-L. Haymon, F. Rueschendorf, I.-K. Kong, L. Schnapp, N. Shur, L. Chorich, L. Layman, T. Haaf, E. Pourkarimi, H.-G. Kim, G.K. Varshney, Human Mutation 43 (2022) 1472–1489. date_created: 2023-09-20T20:58:24Z date_published: 2022-10-01T00:00:00Z date_updated: 2023-09-25T08:54:14Z day: '01' ddc: - '570' doi: 10.1002/humu.24435 extern: '1' file: - access_level: open_access checksum: 74b01d4e4084b2f64c30ed32b18ee928 content_type: application/pdf creator: dernst date_created: 2023-09-25T08:52:54Z date_updated: 2023-09-25T08:52:54Z file_id: '14370' file_name: 2022_HumanMutation_Lin.pdf file_size: 12131312 relation: main_file success: 1 file_date_updated: 2023-09-25T08:52:54Z has_accepted_license: '1' intvolume: ' 43' issue: '10' keyword: - autosomal recessive - biallelic variants - C - elegans - translation initiation sites - tryptophanyl-tRNA synthetase 1 (WARS1) - WHEP domain - zebrafish language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 1472-1489 publication: Human Mutation publication_identifier: issn: - 1059-7794 publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function 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: 43 year: '2022' ... --- _id: '14357' abstract: - lang: eng text: 'Aminoacylation of transfer RNA (tRNA) is a key step in protein biosynthesis, carried out by highly specific aminoacyl-tRNA synthetases (ARSs). ARSs have been implicated in autosomal dominant and autosomal recessive human disorders. Autosomal dominant variants in tryptophanyl-tRNA synthetase 1 (WARS1) are known to cause distal hereditary motor neuropathy and Charcot-Marie-Tooth disease, but a recessively inherited phenotype is yet to be clearly defined. Seryl-tRNA synthetase 1 (SARS1) has rarely been implicated in an autosomal recessive developmental disorder. Here, we report five individuals with biallelic missense variants in WARS1 or SARS1, who presented with an overlapping phenotype of microcephaly, developmental delay, intellectual disability, and brain anomalies. Structural mapping showed that the SARS1 variant is located directly within the enzyme’s active site, most likely diminishing activity, while the WARS1 variant is located in the N-terminal domain. We further characterize the identified WARS1 variant by showing that it negatively impacts protein abundance and is unable to rescue the phenotype of a CRISPR/Cas9 wars1 knockout zebrafish model. In summary, we describe two overlapping autosomal recessive syndromes caused by variants in WARS1 and SARS1, present functional insights into the pathogenesis of the WARS1-related syndrome and define an emerging disease spectrum: ARS-related developmental disorders with or without microcephaly.' article_processing_charge: No article_type: original author: - first_name: Nina full_name: Boegershausen, Nina last_name: Boegershausen - first_name: Hannah E. full_name: Krawczyk, Hannah E. last_name: Krawczyk - first_name: Rami A. full_name: Jamra, Rami A. last_name: Jamra - first_name: Sheng-Jia full_name: Lin, Sheng-Jia last_name: Lin - first_name: Goekhan full_name: Yigit, Goekhan last_name: Yigit - first_name: Irina full_name: Huening, Irina last_name: Huening - first_name: Anna M. full_name: Polo, Anna M. last_name: Polo - first_name: Barbara full_name: Vona, Barbara last_name: Vona - first_name: Kevin full_name: Huang, Kevin id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3 last_name: Huang orcid: 0000-0002-2512-7812 - first_name: Julia full_name: Schmidt, Julia last_name: Schmidt - first_name: Janine full_name: Altmueller, Janine last_name: Altmueller - first_name: Johannes full_name: Luppe, Johannes last_name: Luppe - first_name: Konrad full_name: Platzer, Konrad last_name: Platzer - first_name: Beate B. full_name: Doergeloh, Beate B. last_name: Doergeloh - first_name: Andreas full_name: Busche, Andreas last_name: Busche - first_name: Saskia full_name: Biskup, Saskia last_name: Biskup - first_name: Marisa full_name: Mendes, I, Marisa last_name: Mendes, I - first_name: Desiree E. C. full_name: Smith, Desiree E. C. last_name: Smith - first_name: Gajja S. full_name: Salomons, Gajja S. last_name: Salomons - first_name: Arne full_name: Zibat, Arne last_name: Zibat - first_name: Eva full_name: Bueltmann, Eva last_name: Bueltmann - first_name: Peter full_name: Nuernberg, Peter last_name: Nuernberg - first_name: Malte full_name: Spielmann, Malte last_name: Spielmann - first_name: Johannes R. full_name: Lemke, Johannes R. last_name: Lemke - first_name: Yun full_name: Li, Yun last_name: Li - first_name: Martin full_name: Zenker, Martin last_name: Zenker - first_name: Gaurav K. full_name: Varshney, Gaurav K. last_name: Varshney - first_name: Hauke S. full_name: Hillen, Hauke S. last_name: Hillen - first_name: Christian P. full_name: Kratz, Christian P. last_name: Kratz - first_name: Bernd full_name: Wollnik, Bernd last_name: Wollnik citation: ama: 'Boegershausen N, Krawczyk HE, Jamra RA, et al. WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly. Human Mutation. 2022;43(10):1454-1471. doi:10.1002/humu.24430' apa: 'Boegershausen, N., Krawczyk, H. E., Jamra, R. A., Lin, S.-J., Yigit, G., Huening, I., … Wollnik, B. (2022). WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly. Human Mutation. Wiley. https://doi.org/10.1002/humu.24430' chicago: 'Boegershausen, Nina, Hannah E. Krawczyk, Rami A. Jamra, Sheng-Jia Lin, Goekhan Yigit, Irina Huening, Anna M. Polo, et al. “WARS1 and SARS1: Two TRNA Synthetases Implicated in Autosomal Recessive Microcephaly.” Human Mutation. Wiley, 2022. https://doi.org/10.1002/humu.24430.' ieee: 'N. Boegershausen et al., “WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly,” Human Mutation, vol. 43, no. 10. Wiley, pp. 1454–1471, 2022.' ista: 'Boegershausen N, Krawczyk HE, Jamra RA, Lin S-J, Yigit G, Huening I, Polo AM, Vona B, Huang K, Schmidt J, Altmueller J, Luppe J, Platzer K, Doergeloh BB, Busche A, Biskup S, Mendes, I M, Smith DEC, Salomons GS, Zibat A, Bueltmann E, Nuernberg P, Spielmann M, Lemke JR, Li Y, Zenker M, Varshney GK, Hillen HS, Kratz CP, Wollnik B. 2022. WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly. Human Mutation. 43(10), 1454–1471.' mla: 'Boegershausen, Nina, et al. “WARS1 and SARS1: Two TRNA Synthetases Implicated in Autosomal Recessive Microcephaly.” Human Mutation, vol. 43, no. 10, Wiley, 2022, pp. 1454–71, doi:10.1002/humu.24430.' short: N. Boegershausen, H.E. Krawczyk, R.A. Jamra, S.-J. Lin, G. Yigit, I. Huening, A.M. Polo, B. Vona, K. Huang, J. Schmidt, J. Altmueller, J. Luppe, K. Platzer, B.B. Doergeloh, A. Busche, S. Biskup, M. Mendes, I, D.E.C. Smith, G.S. Salomons, A. Zibat, E. Bueltmann, P. Nuernberg, M. Spielmann, J.R. Lemke, Y. Li, M. Zenker, G.K. Varshney, H.S. Hillen, C.P. Kratz, B. Wollnik, Human Mutation 43 (2022) 1454–1471. date_created: 2023-09-20T20:59:33Z date_published: 2022-10-01T00:00:00Z date_updated: 2023-09-25T08:43:06Z day: '01' ddc: - '570' doi: 10.1002/humu.24430 extern: '1' external_id: pmid: - '35790048' file: - access_level: open_access checksum: c31fc91e0445c35b9da83eb911a9b552 content_type: application/pdf creator: dernst date_created: 2023-09-25T08:41:23Z date_updated: 2023-09-25T08:41:23Z file_id: '14367' file_name: 2022_HumanMutation_Boegershausen.pdf file_size: 4863605 relation: main_file success: 1 file_date_updated: 2023-09-25T08:41:23Z has_accepted_license: '1' intvolume: ' 43' issue: '10' keyword: - aminoacylation - aminoacyl-tRNA synthetase - ARS - CRISPR - Cas9 - intellectual disability - microcephaly - SARS1 - tRNA - WARS1 - zebrafish language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '10' oa: 1 oa_version: Published Version page: 1454-1471 pmid: 1 publication: Human Mutation publication_identifier: issn: - 1059-7794 publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: 'WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly' tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 43 year: '2022' ... --- _id: '14520' abstract: - lang: eng text: 'This dataset comprises all data shown in the figures of the submitted article "Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses" at arxiv.org/abs/2206.14104. Additional raw data are available from the corresponding author on reasonable request.' article_processing_charge: No author: - first_name: Martin full_name: Zemlicka, Martin id: 2DCF8DE6-F248-11E8-B48F-1D18A9856A87 last_name: Zemlicka - first_name: Elena full_name: Redchenko, Elena id: 2C21D6E8-F248-11E8-B48F-1D18A9856A87 last_name: Redchenko - first_name: Matilda full_name: Peruzzo, Matilda id: 3F920B30-F248-11E8-B48F-1D18A9856A87 last_name: Peruzzo orcid: 0000-0002-3415-4628 - first_name: Farid full_name: Hassani, Farid id: 2AED110C-F248-11E8-B48F-1D18A9856A87 last_name: Hassani orcid: 0000-0001-6937-5773 - first_name: Andrea full_name: Trioni, Andrea id: 42F71B44-F248-11E8-B48F-1D18A9856A87 last_name: Trioni - first_name: Shabir full_name: Barzanjeh, Shabir id: 2D25E1F6-F248-11E8-B48F-1D18A9856A87 last_name: Barzanjeh orcid: 0000-0003-0415-1423 - first_name: Johannes M full_name: Fink, Johannes M id: 4B591CBA-F248-11E8-B48F-1D18A9856A87 last_name: Fink orcid: 0000-0001-8112-028X citation: ama: 'Zemlicka M, Redchenko E, Peruzzo M, et al. Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses. 2022. doi:10.5281/ZENODO.8408897' apa: 'Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., & Fink, J. M. (2022). Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Zenodo. https://doi.org/10.5281/ZENODO.8408897' chicago: 'Zemlicka, Martin, Elena Redchenko, Matilda Peruzzo, Farid Hassani, Andrea Trioni, Shabir Barzanjeh, and Johannes M Fink. “Compact Vacuum Gap Transmon Qubits: Selective and Sensitive Probes for Superconductor Surface Losses.” Zenodo, 2022. https://doi.org/10.5281/ZENODO.8408897.' ieee: 'M. Zemlicka et al., “Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses.” Zenodo, 2022.' ista: 'Zemlicka M, Redchenko E, Peruzzo M, Hassani F, Trioni A, Barzanjeh S, Fink JM. 2022. Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses, Zenodo, 10.5281/ZENODO.8408897.' mla: 'Zemlicka, Martin, et al. Compact Vacuum Gap Transmon Qubits: Selective and Sensitive Probes for Superconductor Surface Losses. Zenodo, 2022, doi:10.5281/ZENODO.8408897.' short: M. Zemlicka, E. Redchenko, M. Peruzzo, F. Hassani, A. Trioni, S. Barzanjeh, J.M. Fink, (2022). date_created: 2023-11-13T08:09:10Z date_published: 2022-06-28T00:00:00Z date_updated: 2024-09-10T12:23:57Z day: '28' ddc: - '530' department: - _id: JoFi doi: 10.5281/ZENODO.8408897 has_accepted_license: '1' license: https://creativecommons.org/publicdomain/zero/1.0/ main_file_link: - open_access: '1' url: https://doi.org/10.5281/ZENODO.8408897 month: '06' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '14517' relation: used_in_publication status: public status: public title: 'Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses' tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '14597' abstract: - lang: eng text: "Phase-field models such as the Allen-Cahn equation may give rise to the formation and evolution of geometric shapes, a phenomenon that may be analyzed rigorously in suitable scaling regimes. In its sharp-interface limit, the vectorial Allen-Cahn equation with a potential with N≥3 distinct minima has been conjectured to describe the evolution of branched interfaces by multiphase mean curvature flow.\r\nIn the present work, we give a rigorous proof for this statement in two and three ambient dimensions and for a suitable class of potentials: As long as a strong solution to multiphase mean curvature flow exists, solutions to the vectorial Allen-Cahn equation with well-prepared initial data converge towards multiphase mean curvature flow in the limit of vanishing interface width parameter ε↘0. We even establish the rate of convergence O(ε1/2).\r\nOur approach is based on the gradient flow structure of the Allen-Cahn equation and its limiting motion: Building on the recent concept of \"gradient flow calibrations\" for multiphase mean curvature flow, we introduce a notion of relative entropy for the vectorial Allen-Cahn equation with multi-well potential. This enables us to overcome the limitations of other approaches, e.g. avoiding the need for a stability analysis of the Allen-Cahn operator or additional convergence hypotheses for the energy at positive times." article_processing_charge: No arxiv: 1 author: - first_name: Julian L full_name: Fischer, Julian L id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87 last_name: Fischer orcid: 0000-0002-0479-558X - first_name: Alice full_name: Marveggio, Alice id: 25647992-AA84-11E9-9D75-8427E6697425 last_name: Marveggio citation: ama: Fischer JL, Marveggio A. Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow. arXiv. doi:10.48550/ARXIV.2203.17143 apa: Fischer, J. L., & Marveggio, A. (n.d.). Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow. arXiv. https://doi.org/10.48550/ARXIV.2203.17143 chicago: Fischer, Julian L, and Alice Marveggio. “Quantitative Convergence of the Vectorial Allen-Cahn Equation towards Multiphase Mean Curvature Flow.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2203.17143. ieee: J. L. Fischer and A. Marveggio, “Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow,” arXiv. . ista: Fischer JL, Marveggio A. Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow. arXiv, 10.48550/ARXIV.2203.17143. mla: Fischer, Julian L., and Alice Marveggio. “Quantitative Convergence of the Vectorial Allen-Cahn Equation towards Multiphase Mean Curvature Flow.” ArXiv, doi:10.48550/ARXIV.2203.17143. short: J.L. Fischer, A. Marveggio, ArXiv (n.d.). date_created: 2023-11-23T09:30:02Z date_published: 2022-03-31T00:00:00Z date_updated: 2023-11-30T13:25:02Z day: '31' department: - _id: JuFi doi: 10.48550/ARXIV.2203.17143 ec_funded: 1 external_id: arxiv: - '2203.17143' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2203.17143 month: '03' oa: 1 oa_version: Preprint project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: arXiv publication_status: submitted related_material: record: - id: '14587' relation: dissertation_contains status: public status: public title: Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow type: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2022' ... --- _id: '14600' abstract: - lang: eng text: We study the problem of learning controllers for discrete-time non-linear stochastic dynamical systems with formal reach-avoid guarantees. This work presents the first method for providing formal reach-avoid guarantees, which combine and generalize stability and safety guarantees, with a tolerable probability threshold $p\in[0,1]$ over the infinite time horizon. Our method leverages advances in machine learning literature and it represents formal certificates as neural networks. In particular, we learn a certificate in the form of a reach-avoid supermartingale (RASM), a novel notion that we introduce in this work. Our RASMs provide reachability and avoidance guarantees by imposing constraints on what can be viewed as a stochastic extension of level sets of Lyapunov functions for deterministic systems. Our approach solves several important problems -- it can be used to learn a control policy from scratch, to verify a reach-avoid specification for a fixed control policy, or to fine-tune a pre-trained policy if it does not satisfy the reach-avoid specification. We validate our approach on $3$ stochastic non-linear reinforcement learning tasks. article_processing_charge: No arxiv: 1 author: - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X citation: ama: Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. arXiv. doi:10.48550/ARXIV.2210.05308 apa: Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (n.d.). Learning control policies for stochastic systems with reach-avoid guarantees. arXiv. https://doi.org/10.48550/ARXIV.2210.05308 chicago: Zikelic, Dorde, Mathias Lechner, Thomas A Henzinger, and Krishnendu Chatterjee. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2210.05308. ieee: D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” arXiv. . ista: Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. arXiv, 10.48550/ARXIV.2210.05308. mla: Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.” ArXiv, doi:10.48550/ARXIV.2210.05308. short: D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, ArXiv (n.d.). date_created: 2023-11-24T13:10:09Z date_published: 2022-11-29T00:00:00Z date_updated: 2025-07-14T09:10:02Z day: '29' department: - _id: KrCh - _id: ToHe doi: 10.48550/ARXIV.2210.05308 ec_funded: 1 external_id: arxiv: - '2210.05308' language: - iso: eng license: https://creativecommons.org/licenses/by-sa/4.0/ main_file_link: - open_access: '1' url: https://arxiv.org/abs/2210.05308 month: '11' oa: 1 oa_version: Preprint project: - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 62781420-2b32-11ec-9570-8d9b63373d4d call_identifier: H2020 grant_number: '101020093' name: Vigilant Algorithmic Monitoring of Software - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: arXiv publication_status: submitted related_material: record: - id: '14539' relation: dissertation_contains status: public - id: '14830' relation: later_version status: public status: public title: Learning control policies for stochastic systems with reach-avoid guarantees 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: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2022' ... --- _id: '14601' abstract: - lang: eng text: "In this work, we address the problem of learning provably stable neural\r\nnetwork policies for stochastic control systems. While recent work has\r\ndemonstrated the feasibility of certifying given policies using martingale\r\ntheory, the problem of how to learn such policies is little explored. Here, we\r\nstudy the effectiveness of jointly learning a policy together with a martingale\r\ncertificate that proves its stability using a single learning algorithm. We\r\nobserve that the joint optimization problem becomes easily stuck in local\r\nminima when starting from a randomly initialized policy. Our results suggest\r\nthat some form of pre-training of the policy is required for the joint\r\noptimization to repair and verify the policy successfully." article_processing_charge: No arxiv: 1 author: - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies in stochastic control systems. arXiv. doi:10.48550/arXiv.2205.11991 apa: Zikelic, D., Lechner, M., Chatterjee, K., & Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv. https://doi.org/10.48550/arXiv.2205.11991 chicago: Zikelic, Dorde, Mathias Lechner, Krishnendu Chatterjee, and Thomas A Henzinger. “Learning Stabilizing Policies in Stochastic Control Systems.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2205.11991. ieee: D. Zikelic, M. Lechner, K. Chatterjee, and T. A. Henzinger, “Learning stabilizing policies in stochastic control systems,” arXiv. . ista: Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies in stochastic control systems. arXiv, 10.48550/arXiv.2205.11991. mla: Zikelic, Dorde, et al. “Learning Stabilizing Policies in Stochastic Control Systems.” ArXiv, doi:10.48550/arXiv.2205.11991. short: D. Zikelic, M. Lechner, K. Chatterjee, T.A. Henzinger, ArXiv (n.d.). date_created: 2023-11-24T13:22:30Z date_published: 2022-05-24T00:00:00Z date_updated: 2025-07-14T09:10:00Z day: '24' department: - _id: KrCh - _id: ToHe doi: 10.48550/arXiv.2205.11991 ec_funded: 1 external_id: arxiv: - '2205.11991' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2205.11991 month: '05' oa: 1 oa_version: Preprint project: - _id: 62781420-2b32-11ec-9570-8d9b63373d4d call_identifier: H2020 grant_number: '101020093' name: Vigilant Algorithmic Monitoring of Software - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: arXiv publication_status: submitted related_material: record: - id: '14539' relation: dissertation_contains status: public status: public title: Learning stabilizing policies in stochastic control systems type: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2022' ... --- _id: '13064' abstract: - lang: eng text: Genetically informed, deep-phenotyped biobanks are an important research resource and it is imperative that the most powerful, versatile, and efficient analysis approaches are used. Here, we apply our recently developed Bayesian grouped mixture of regressions model (GMRM) in the UK and Estonian Biobanks and obtain the highest genomic prediction accuracy reported to date across 21 heritable traits. When compared to other approaches, GMRM accuracy was greater than annotation prediction models run in the LDAK or LDPred-funct software by 15% (SE 7%) and 14% (SE 2%), respectively, and was 18% (SE 3%) greater than a baseline BayesR model without single-nucleotide polymorphism (SNP) markers grouped into minor allele frequency–linkage disequilibrium (MAF-LD) annotation categories. For height, the prediction accuracy R 2 was 47% in a UK Biobank holdout sample, which was 76% of the estimated h SNP 2 . We then extend our GMRM prediction model to provide mixed-linear model association (MLMA) SNP marker estimates for genome-wide association (GWAS) discovery, which increased the independent loci detected to 16,162 in unrelated UK Biobank individuals, compared to 10,550 from BoltLMM and 10,095 from Regenie, a 62 and 65% increase, respectively. The average χ2 value of the leading markers increased by 15.24 (SE 0.41) for every 1% increase in prediction accuracy gained over a baseline BayesR model across the traits. Thus, we show that modeling genetic associations accounting for MAF and LD differences among SNP markers, and incorporating prior knowledge of genomic function, is important for both genomic prediction and discovery in large-scale individual-level studies. article_processing_charge: No author: - first_name: Etienne full_name: Orliac, Etienne last_name: Orliac - first_name: Daniel full_name: Trejo Banos, Daniel last_name: Trejo Banos - first_name: Sven full_name: Ojavee, Sven last_name: Ojavee - first_name: Kristi full_name: Läll, Kristi last_name: Läll - first_name: Reedik full_name: Mägi, Reedik last_name: Mägi - first_name: Peter full_name: Visscher, Peter last_name: Visscher - first_name: Matthew Richard full_name: Robinson, Matthew Richard id: E5D42276-F5DA-11E9-8E24-6303E6697425 last_name: Robinson orcid: 0000-0001-8982-8813 citation: ama: Orliac E, Trejo Banos D, Ojavee S, et al. Improving genome-wide association discovery and genomic prediction accuracy in biobank data. 2022. doi:10.5061/DRYAD.GTHT76HMZ apa: Orliac, E., Trejo Banos, D., Ojavee, S., Läll, K., Mägi, R., Visscher, P., & Robinson, M. R. (2022). Improving genome-wide association discovery and genomic prediction accuracy in biobank data. Dryad. https://doi.org/10.5061/DRYAD.GTHT76HMZ chicago: Orliac, Etienne, Daniel Trejo Banos, Sven Ojavee, Kristi Läll, Reedik Mägi, Peter Visscher, and Matthew Richard Robinson. “Improving Genome-Wide Association Discovery and Genomic Prediction Accuracy in Biobank Data.” Dryad, 2022. https://doi.org/10.5061/DRYAD.GTHT76HMZ. ieee: E. Orliac et al., “Improving genome-wide association discovery and genomic prediction accuracy in biobank data.” Dryad, 2022. ista: Orliac E, Trejo Banos D, Ojavee S, Läll K, Mägi R, Visscher P, Robinson MR. 2022. Improving genome-wide association discovery and genomic prediction accuracy in biobank data, Dryad, 10.5061/DRYAD.GTHT76HMZ. mla: Orliac, Etienne, et al. Improving Genome-Wide Association Discovery and Genomic Prediction Accuracy in Biobank Data. Dryad, 2022, doi:10.5061/DRYAD.GTHT76HMZ. short: E. Orliac, D. Trejo Banos, S. Ojavee, K. Läll, R. Mägi, P. Visscher, M.R. Robinson, (2022). date_created: 2023-05-23T16:28:13Z date_published: 2022-09-02T00:00:00Z date_updated: 2023-08-03T12:40:37Z day: '02' ddc: - '570' department: - _id: MaRo doi: 10.5061/DRYAD.GTHT76HMZ main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.gtht76hmz month: '09' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '11733' relation: used_in_publication status: public status: public title: Improving genome-wide association discovery and genomic prediction accuracy in biobank data tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '13066' abstract: - lang: eng text: Chromosomal inversions have been shown to play a major role in local adaptation by suppressing recombination between alternative arrangements and maintaining beneficial allele combinations. However, so far, their importance relative to the remaining genome remains largely unknown. Understanding the genetic architecture of adaptation requires better estimates of how loci of different effect sizes contribute to phenotypic variation. Here, we used three Swedish islands where the marine snail Littorina saxatilis has repeatedly evolved into two distinct ecotypes along a habitat transition. We estimated the contribution of inversion polymorphisms to phenotypic divergence while controlling for polygenic effects in the remaining genome using a quantitative genetics framework. We confirmed the importance of inversions but showed that contributions of loci outside inversions are of similar magnitude, with variable proportions dependent on the trait and the population. Some inversions showed consistent effects across all sites, whereas others exhibited site-specific effects, indicating that the genomic basis for replicated phenotypic divergence is only partly shared. The contributions of sexual dimorphism as well as environmental factors to phenotypic variation were significant but minor compared to inversions and polygenic background. Overall, this integrated approach provides insight into the multiple mechanisms contributing to parallel phenotypic divergence. article_processing_charge: No author: - first_name: Eva full_name: Koch, Eva last_name: Koch - first_name: Mark full_name: Ravinet, Mark last_name: Ravinet - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Kerstin full_name: Jonannesson, Kerstin last_name: Jonannesson - first_name: Roger full_name: Butlin, Roger last_name: Butlin citation: ama: 'Koch E, Ravinet M, Westram AM, Jonannesson K, Butlin R. Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. 2022. doi:10.5061/DRYAD.M905QFV4B' apa: 'Koch, E., Ravinet, M., Westram, A. M., Jonannesson, K., & Butlin, R. (2022). Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. Dryad. https://doi.org/10.5061/DRYAD.M905QFV4B' chicago: 'Koch, Eva, Mark Ravinet, Anja M Westram, Kerstin Jonannesson, and Roger Butlin. “Data from: Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Ecotype Evolution.” Dryad, 2022. https://doi.org/10.5061/DRYAD.M905QFV4B.' ieee: 'E. Koch, M. Ravinet, A. M. Westram, K. Jonannesson, and R. Butlin, “Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution.” Dryad, 2022.' ista: 'Koch E, Ravinet M, Westram AM, Jonannesson K, Butlin R. 2022. Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution, Dryad, 10.5061/DRYAD.M905QFV4B.' mla: 'Koch, Eva, et al. Data from: Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Ecotype Evolution. Dryad, 2022, doi:10.5061/DRYAD.M905QFV4B.' short: E. Koch, M. Ravinet, A.M. Westram, K. Jonannesson, R. Butlin, (2022). date_created: 2023-05-23T16:33:12Z date_published: 2022-07-28T00:00:00Z date_updated: 2023-08-04T09:42:10Z day: '28' ddc: - '570' department: - _id: NiBa doi: 10.5061/DRYAD.M905QFV4B main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.m905qfv4b month: '07' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '12247' relation: used_in_publication status: public status: public title: 'Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution' tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '13076' abstract: - lang: eng text: "The source code for replicating experiments presented in the paper.\r\n\r\nThe implementation of the designed priority schedulers can be found in Galois-2.2.1/include/Galois/WorkList/:\r\nStealingMultiQueue.h is the StealingMultiQueue.\r\nMQOptimized/ contains MQ Optimized variants.\r\n\r\nWe provide images that contain all the dependencies and datasets. Images can be pulled from npostnikova/mq-based-schedulers repository, or downloaded from Zenodo. See readme for more detail." article_processing_charge: No author: - first_name: Anastasiia full_name: Postnikova, Anastasiia last_name: Postnikova - first_name: Nikita full_name: Koval, Nikita id: 2F4DB10C-F248-11E8-B48F-1D18A9856A87 last_name: Koval - first_name: Giorgi full_name: Nadiradze, Giorgi id: 3279A00C-F248-11E8-B48F-1D18A9856A87 last_name: Nadiradze - 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: Postnikova A, Koval N, Nadiradze G, Alistarh D-A. Multi-queues can be state-of-the-art priority schedulers. 2022. doi:10.5281/ZENODO.5733408 apa: Postnikova, A., Koval, N., Nadiradze, G., & Alistarh, D.-A. (2022). Multi-queues can be state-of-the-art priority schedulers. Zenodo. https://doi.org/10.5281/ZENODO.5733408 chicago: Postnikova, Anastasiia, Nikita Koval, Giorgi Nadiradze, and Dan-Adrian Alistarh. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Zenodo, 2022. https://doi.org/10.5281/ZENODO.5733408. ieee: A. Postnikova, N. Koval, G. Nadiradze, and D.-A. Alistarh, “Multi-queues can be state-of-the-art priority schedulers.” Zenodo, 2022. ista: Postnikova A, Koval N, Nadiradze G, Alistarh D-A. 2022. Multi-queues can be state-of-the-art priority schedulers, Zenodo, 10.5281/ZENODO.5733408. mla: Postnikova, Anastasiia, et al. Multi-Queues Can Be State-of-the-Art Priority Schedulers. Zenodo, 2022, doi:10.5281/ZENODO.5733408. short: A. Postnikova, N. Koval, G. Nadiradze, D.-A. Alistarh, (2022). date_created: 2023-05-23T17:05:40Z date_published: 2022-01-03T00:00:00Z date_updated: 2023-08-03T06:48:34Z day: '03' ddc: - '510' department: - _id: DaAl doi: 10.5281/ZENODO.5733408 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.5813846 month: '01' oa: 1 oa_version: Published Version publisher: Zenodo related_material: link: - relation: software url: https://github.com/npostnikova/mq-based-schedulers/tree/v1.1 record: - id: '11180' relation: used_in_publication status: public status: public title: Multi-queues can be state-of-the-art priority schedulers type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '13239' abstract: - lang: eng text: Brains are thought to engage in predictive learning - learning to predict upcoming stimuli - to construct an internal model of their environment. This is especially notable for spatial navigation, as first described by Tolman’s latent learning tasks. However, predictive learning has also been observed in sensory cortex, in settings unrelated to spatial navigation. Apart from normative frameworks such as active inference or efficient coding, what could be the utility of learning to predict the patterns of occurrence of correlated stimuli? Here we show that prediction, and thereby the construction of an internal model of sequential stimuli, can bootstrap the learning process of a working memory task in a recurrent neural network. We implemented predictive learning alongside working memory match-tasks, and networks emerged to solve the prediction task first by encoding information across time to predict upcoming stimuli, and then eavesdropped on this solution to solve the matching task. Eavesdropping was most beneficial when neural resources were limited. Hence, predictive learning acts as a general neural mechanism to learn to store sensory information that can later be essential for working memory tasks. acknowledgement: "The authors would like to thank members of the Vogels lab and Manohar lab, as well as Adam Packer, Andrew Saxe, Stefano Sarao Mannelli and Jacob Bakermans for fruitful discussions and comments on earlier versions of the manuscript.\r\nTLvdP was supported by funding from the Biotechnology and Biological Sciences Research Council (BBSRC) [grant number BB/M011224/1]. TPV was supported by an ERC Consolidator Grant (SYNAPSEEK). SGM was funded by a MRC Clinician Scientist Fellowship MR/P00878X and Leverhulme Grant RPG-2018-310." article_processing_charge: No author: - first_name: Thijs L. full_name: Van Der Plas, Thijs L. last_name: Van Der Plas - first_name: Tim P full_name: Vogels, Tim P id: CB6FF8D2-008F-11EA-8E08-2637E6697425 last_name: Vogels orcid: 0000-0003-3295-6181 - first_name: Sanjay G. full_name: Manohar, Sanjay G. last_name: Manohar citation: ama: 'Van Der Plas TL, Vogels TP, Manohar SG. Predictive learning enables neural networks to learn complex working memory tasks. In: Proceedings of Machine Learning Research. Vol 199. ML Research Press; 2022:518-531.' apa: Van Der Plas, T. L., Vogels, T. P., & Manohar, S. G. (2022). Predictive learning enables neural networks to learn complex working memory tasks. In Proceedings of Machine Learning Research (Vol. 199, pp. 518–531). ML Research Press. chicago: Van Der Plas, Thijs L., Tim P Vogels, and Sanjay G. Manohar. “Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks.” In Proceedings of Machine Learning Research, 199:518–31. ML Research Press, 2022. ieee: T. L. Van Der Plas, T. P. Vogels, and S. G. Manohar, “Predictive learning enables neural networks to learn complex working memory tasks,” in Proceedings of Machine Learning Research, 2022, vol. 199, pp. 518–531. ista: Van Der Plas TL, Vogels TP, Manohar SG. 2022. Predictive learning enables neural networks to learn complex working memory tasks. Proceedings of Machine Learning Research. vol. 199, 518–531. mla: Van Der Plas, Thijs L., et al. “Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks.” Proceedings of Machine Learning Research, vol. 199, ML Research Press, 2022, pp. 518–31. short: T.L. Van Der Plas, T.P. Vogels, S.G. Manohar, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 518–531. date_created: 2023-07-16T22:01:12Z date_published: 2022-12-01T00:00:00Z date_updated: 2023-07-18T06:36:28Z day: '01' ddc: - '000' department: - _id: TiVo ec_funded: 1 file: - access_level: open_access checksum: 7530a93ef42e10b4db1e5e4b69796e93 content_type: application/pdf creator: dernst date_created: 2023-07-18T06:32:38Z date_updated: 2023-07-18T06:32:38Z file_id: '13243' file_name: 2022_PMLR_vanderPlas.pdf file_size: 585135 relation: main_file success: 1 file_date_updated: 2023-07-18T06:32:38Z has_accepted_license: '1' intvolume: ' 199' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: 518-531 project: - _id: 0aacfa84-070f-11eb-9043-d7eb2c709234 call_identifier: H2020 grant_number: '819603' name: Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning. publication: Proceedings of Machine Learning Research publication_identifier: eissn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: Predictive learning enables neural networks to learn complex working memory tasks type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 199 year: '2022' ... --- _id: '13240' abstract: - lang: eng text: Ustilago maydis is a biotrophic phytopathogenic fungus that causes corn smut disease. As a well-established model system, U. maydis is genetically fully accessible with large omics datasets available and subject to various biological questions ranging from DNA-repair, RNA-transport, and protein secretion to disease biology. For many genetic approaches, tight control of transgene regulation is important. Here we established an optimised version of the Tetracycline-ON (TetON) system for U. maydis. We demonstrate the Tetracycline concentration-dependent expression of fluorescent protein transgenes and the system’s suitability for the induced expression of the toxic protein BCL2 Associated X-1 (Bax1). The Golden Gate compatible vector system contains a native minimal promoter from the mating factor a-1 encoding gene, mfa with ten copies of the tet-regulated operator (tetO) and a codon optimised Tet-repressor (tetR*) which is translationally fused to the native transcriptional corepressor Mql1 (UMAG_05501). The metabolism-independent transcriptional regulator system is functional both, in liquid culture as well as on solid media in the presence of the inducer and can become a useful tool for toxin-antitoxin studies, identification of antifungal proteins, and to study functions of toxic gene products in Ustilago maydis. acknowledgement: "The research leading to these results received funding from the European Research Council under the European Union’s Seventh Framework Programme ERC-2013-STG (grant agreement: 335691), the Austrian Science Fund (I 3033-B22), the Austrian Academy of Sciences, and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC-2070-390732324 (PhenoRob) and DFG grant (DJ 64/5-1).\r\nWe would like to thank the GMI/IMBA/IMP core facilities for their excellent technical support. We would like to acknowledge Dr. Sinéad A. O’Sullivan from DZNE, University of Bonn for providing anti-GFP antibodies. The authors are thankful to the Excellence University of Bonn for providing infrastructure and instrumentation facilities at the INRES-Plant Pathology department." article_number: '1029114' article_processing_charge: Yes article_type: original author: - first_name: Kishor D. full_name: Ingole, Kishor D. last_name: Ingole - first_name: Nithya full_name: Nagarajan, Nithya last_name: Nagarajan - first_name: Simon full_name: Uhse, Simon last_name: Uhse - first_name: Caterina full_name: Giannini, Caterina id: e3fdddd5-f6e0-11ea-865d-ca99ee6367f4 last_name: Giannini - first_name: Armin full_name: Djamei, Armin last_name: Djamei citation: ama: Ingole KD, Nagarajan N, Uhse S, Giannini C, Djamei A. Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. 2022;3. doi:10.3389/ffunb.2022.1029114 apa: Ingole, K. D., Nagarajan, N., Uhse, S., Giannini, C., & Djamei, A. (2022). Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. Frontiers Media. https://doi.org/10.3389/ffunb.2022.1029114 chicago: Ingole, Kishor D., Nithya Nagarajan, Simon Uhse, Caterina Giannini, and Armin Djamei. “Tetracycline-Controlled (TetON) Gene Expression System for the Smut Fungus Ustilago Maydis.” Frontiers in Fungal Biology. Frontiers Media, 2022. https://doi.org/10.3389/ffunb.2022.1029114. ieee: K. D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, and A. Djamei, “Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis,” Frontiers in Fungal Biology, vol. 3. Frontiers Media, 2022. ista: Ingole KD, Nagarajan N, Uhse S, Giannini C, Djamei A. 2022. Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. 3, 1029114. mla: Ingole, Kishor D., et al. “Tetracycline-Controlled (TetON) Gene Expression System for the Smut Fungus Ustilago Maydis.” Frontiers in Fungal Biology, vol. 3, 1029114, Frontiers Media, 2022, doi:10.3389/ffunb.2022.1029114. short: K.D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, A. Djamei, Frontiers in Fungal Biology 3 (2022). date_created: 2023-07-16T22:01:12Z date_published: 2022-10-19T00:00:00Z date_updated: 2024-03-06T14:01:57Z day: '19' ddc: - '579' department: - _id: JiFr doi: 10.3389/ffunb.2022.1029114 file: - access_level: open_access checksum: 2254e0119c0749d6f7237084fefcece6 content_type: application/pdf creator: dernst date_created: 2023-07-17T11:46:34Z date_updated: 2023-07-17T11:46:34Z file_id: '13242' file_name: 2023_FrontiersFungalBio_Ingole.pdf file_size: 27966699 relation: main_file success: 1 file_date_updated: 2023-07-17T11:46:34Z has_accepted_license: '1' intvolume: ' 3' language: - iso: eng month: '10' oa: 1 oa_version: Published Version publication: Frontiers in Fungal Biology publication_identifier: eissn: - 2673-6128 publication_status: published publisher: Frontiers Media quality_controlled: '1' scopus_import: '1' status: public title: Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis 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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 3 year: '2022' ... --- _id: '13241' abstract: - lang: eng text: Addressing fairness concerns about machine learning models is a crucial step towards their long-term adoption in real-world automated systems. Many approaches for training fair models from data have been developed and an implicit assumption about such algorithms is that they are able to recover a fair model, despite potential historical biases in the data. In this work we show a number of impossibility results that indicate that there is no learning algorithm that can recover a fair model when a proportion of the dataset is subject to arbitrary manipulations. Specifically, we prove that there are situations in which an adversary can force any learner to return a biased classifier, with or without degrading accuracy, and that the strength of this bias increases for learning problems with underrepresented protected groups in the data. Our results emphasize on the importance of studying further data corruption models of various strength and of establishing stricter data collection practices for fairness-aware learning. acknowledgement: "This paper is a shortened, workshop version of Konstantinov and Lampert (2021),\r\nhttps://arxiv.org/abs/2102.06004. For further results, including an analysis of algorithms achieving the lower bounds from this paper, we refer to the full version." article_processing_charge: No arxiv: 1 author: - first_name: Nikola H full_name: Konstantinov, Nikola H id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87 last_name: Konstantinov - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Konstantinov NH, Lampert C. On the impossibility of fairness-aware learning from corrupted data. In: Proceedings of Machine Learning Research. Vol 171. ML Research Press; 2022:59-83.' apa: Konstantinov, N. H., & Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In Proceedings of Machine Learning Research (Vol. 171, pp. 59–83). ML Research Press. chicago: Konstantinov, Nikola H, and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” In Proceedings of Machine Learning Research, 171:59–83. ML Research Press, 2022. ieee: N. H. Konstantinov and C. Lampert, “On the impossibility of fairness-aware learning from corrupted data,” in Proceedings of Machine Learning Research, 2022, vol. 171, pp. 59–83. ista: Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83. mla: Konstantinov, Nikola H., and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” Proceedings of Machine Learning Research, vol. 171, ML Research Press, 2022, pp. 59–83. short: N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83. date_created: 2023-07-16T22:01:13Z date_published: 2022-12-01T00:00:00Z date_updated: 2023-09-26T10:44:37Z day: '01' department: - _id: ChLa external_id: arxiv: - '2102.06004' intvolume: ' 171' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2102.06004 month: '12' oa: 1 oa_version: Preprint page: 59-83 publication: Proceedings of Machine Learning Research publication_identifier: eissn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: record: - id: '10802' relation: extended_version status: public scopus_import: '1' status: public title: On the impossibility of fairness-aware learning from corrupted data type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 171 year: '2022' ... --- _id: '13345' abstract: - lang: eng text: The self-assembly of inorganic nanoparticles (NPs) into ordered structures (superlattices) has led to a wide range of nanomaterials with unique optical, magnetic, electronic, and catalytic properties. Various interactions have been employed to direct the crystallization of NPs, including van der Waals forces, hydrogen bonding, as well as electric and magnetic dipolar interactions. Among them, Coulombic interactions—ubiquitous in nature and the main driving force behind the formation of many minerals, such as fluorite or rock salt—have remained largely underexplored, owing to the rapid charge exchange between NPs bearing high densities of opposite charges (superionic NPs). Here, we worked with superionic NPs under conditions (room temperature, concentrated salt solutions) that preserved their native surface charge density. We demonstrate that under these conditions, the Coulombic interactions between superionic NPs are reminiscent of short-range intermolecular interactions. Our methodology was used to assemble oppositely charged NPs into high-quality superlattices exhibiting Catalan shapes. Depending on their size ratio, the NPs assembled into either rhombic dodecahedra or triakis tetrahedra with structures mimicking those of the ionic solids CsCl and Th3P4, respectively. We envision that the methodology described here can be applied to a wide range of charged NPs of various sizes, shapes, and compositions, thus facilitating the discovery of new nanomaterials. article_processing_charge: No author: - first_name: Tong full_name: Bian, Tong last_name: Bian - first_name: Ivan full_name: Lobato, Ivan last_name: Lobato - first_name: Ji full_name: Wang, Ji last_name: Wang - first_name: Tara A. full_name: Nitka, Tara A. last_name: Nitka - first_name: Tzuf Shay full_name: Peled, Tzuf Shay last_name: Peled - first_name: Byeongdu full_name: Lee, Byeongdu last_name: Lee - first_name: Sandra full_name: Van Aert, Sandra last_name: Van Aert - first_name: Sara full_name: Bals, Sara last_name: Bals - first_name: Lela full_name: Vuković, Lela last_name: Vuković - first_name: Thomas full_name: Altantzis, Thomas last_name: Altantzis - first_name: Petr full_name: Král, Petr last_name: Král - first_name: Rafal full_name: Klajn, Rafal id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b last_name: Klajn citation: ama: Bian T, Lobato I, Wang J, et al. Catalan solids from superionic nanoparticles. ChemRxiv. doi:10.26434/chemrxiv-2022-klncg apa: Bian, T., Lobato, I., Wang, J., Nitka, T. A., Peled, T. S., Lee, B., … Klajn, R. (n.d.). Catalan solids from superionic nanoparticles. ChemRxiv. https://doi.org/10.26434/chemrxiv-2022-klncg chicago: Bian, Tong, Ivan Lobato, Ji Wang, Tara A. Nitka, Tzuf Shay Peled, Byeongdu Lee, Sandra Van Aert, et al. “Catalan Solids from Superionic Nanoparticles.” ChemRxiv, n.d. https://doi.org/10.26434/chemrxiv-2022-klncg. ieee: T. Bian et al., “Catalan solids from superionic nanoparticles,” ChemRxiv. . ista: Bian T, Lobato I, Wang J, Nitka TA, Peled TS, Lee B, Van Aert S, Bals S, Vuković L, Altantzis T, Král P, Klajn R. Catalan solids from superionic nanoparticles. ChemRxiv, 10.26434/chemrxiv-2022-klncg. mla: Bian, Tong, et al. “Catalan Solids from Superionic Nanoparticles.” ChemRxiv, doi:10.26434/chemrxiv-2022-klncg. short: T. Bian, I. Lobato, J. Wang, T.A. Nitka, T.S. Peled, B. Lee, S. Van Aert, S. Bals, L. Vuković, T. Altantzis, P. Král, R. Klajn, ChemRxiv (n.d.). date_created: 2023-08-01T09:30:08Z date_published: 2022-04-08T00:00:00Z date_updated: 2023-08-02T06:48:27Z day: '08' doi: 10.26434/chemrxiv-2022-klncg extern: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.26434/chemrxiv-2022-klncg month: '04' oa: 1 oa_version: Preprint publication: ChemRxiv publication_status: submitted status: public title: Catalan solids from superionic nanoparticles type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '13347' abstract: - lang: eng text: Confining molecules within well-defined nanosized spaces can profoundly alter their physicochemical characteristics. For example, the controlled aggregation of chromophores into discrete oligomers has been shown to tune their optical properties whereas encapsulation of reactive species within molecular hosts can increase their stability. The resazurin/resorufin pair has been widely used for detecting redox processes in biological settings; yet, how tight confinement affects the properties of these two dyes remains to be explored. Here, we show that a flexible PdII6L4 coordination cage can efficiently encapsulate both resorufin and resazurin in the form of dimers, dramatically modulating their optical properties. Furthermore, binding within the cage significantly decreases the reduction rate of resazurin to resorufin, and the rate of the subsequent reduction of resorufin to dihydroresorufin. During our studies, we also found that upon dilution, the PdII6L4 cage disassembles to afford PdII2L2 species, which lacks the ability to form inclusion complexes – a process that can be reversed upon the addition of the strongly binding resorufin/resazurin guests. We expect that the herein disclosed ability of a water-soluble cage to reversibly modulate the optical and chemical properties of a molecular redox probe will expand the versatility of synthetic fluorescent probes in biologically relevant environments. article_number: '44' article_processing_charge: No article_type: original author: - first_name: Oksana full_name: Yanshyna, Oksana last_name: Yanshyna - first_name: Michał J. full_name: Białek, Michał J. last_name: Białek - first_name: Oleg V. full_name: Chashchikhin, Oleg V. last_name: Chashchikhin - first_name: Rafal full_name: Klajn, Rafal id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b last_name: Klajn citation: ama: Yanshyna O, Białek MJ, Chashchikhin OV, Klajn R. Encapsulation within a coordination cage modulates the reactivity of redox-active dyes. Communications Chemistry. 2022;5. doi:10.1038/s42004-022-00658-8 apa: Yanshyna, O., Białek, M. J., Chashchikhin, O. V., & Klajn, R. (2022). Encapsulation within a coordination cage modulates the reactivity of redox-active dyes. Communications Chemistry. Springer Nature. https://doi.org/10.1038/s42004-022-00658-8 chicago: Yanshyna, Oksana, Michał J. Białek, Oleg V. Chashchikhin, and Rafal Klajn. “Encapsulation within a Coordination Cage Modulates the Reactivity of Redox-Active Dyes.” Communications Chemistry. Springer Nature, 2022. https://doi.org/10.1038/s42004-022-00658-8. ieee: O. Yanshyna, M. J. Białek, O. V. Chashchikhin, and R. Klajn, “Encapsulation within a coordination cage modulates the reactivity of redox-active dyes,” Communications Chemistry, vol. 5. Springer Nature, 2022. ista: Yanshyna O, Białek MJ, Chashchikhin OV, Klajn R. 2022. Encapsulation within a coordination cage modulates the reactivity of redox-active dyes. Communications Chemistry. 5, 44. mla: Yanshyna, Oksana, et al. “Encapsulation within a Coordination Cage Modulates the Reactivity of Redox-Active Dyes.” Communications Chemistry, vol. 5, 44, Springer Nature, 2022, doi:10.1038/s42004-022-00658-8. short: O. Yanshyna, M.J. Białek, O.V. Chashchikhin, R. Klajn, Communications Chemistry 5 (2022). date_created: 2023-08-01T09:30:47Z date_published: 2022-03-30T00:00:00Z date_updated: 2023-08-02T06:41:54Z day: '30' doi: 10.1038/s42004-022-00658-8 extern: '1' intvolume: ' 5' keyword: - Materials Chemistry - Biochemistry - Environmental Chemistry - General Chemistry language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1038/s42004-022-00658-8 month: '03' oa: 1 oa_version: Published Version publication: Communications Chemistry publication_identifier: eissn: - 2399-3669 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Encapsulation within a coordination cage modulates the reactivity of redox-active dyes type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 5 year: '2022' ... --- _id: '13348' abstract: - lang: eng text: Molecular confinement effects can profoundly alter the physicochemical properties of the confined species. A plethora of organic molecules were encapsulated within the cavities of supramolecular hosts, and the impact of the cavity size and polarity was widely investigated. However, the extent to which the properties of the confined guests can be affected by the symmetry of the cage─which dictates the shape of the cavity─remains to be understood. Here we show that cage symmetry has a dramatic effect on the equilibrium between two isomers of the encapsulated spiropyran guests. Working with two Pd-based coordination cages featuring similarly sized but differently shaped hydrophobic cavities, we found a highly selective stabilization of the isomer whose shape matches that of the cavity of the cage. A Td-symmetric cage stabilized the spiropyrans’ colorless form and rendered them photochemically inert. In contrast, a D2h-symmetric cage favored the colored isomer, while maintaining reversible photoswitching between the two states of the encapsulated spiropyrans. We also show that the switching kinetics strongly depend on the substitution pattern on the spiropyran scaffold. This finding was used to fabricate a time-sensitive information storage medium with tunable lifetimes of the encoded messages. article_processing_charge: No article_type: original author: - first_name: Jinhua full_name: Wang, Jinhua last_name: Wang - first_name: Liat full_name: Avram, Liat last_name: Avram - first_name: Yael full_name: Diskin-Posner, Yael last_name: Diskin-Posner - first_name: Michał J. full_name: Białek, Michał J. last_name: Białek - first_name: Wojciech full_name: Stawski, Wojciech last_name: Stawski - first_name: Moran full_name: Feller, Moran last_name: Feller - first_name: Rafal full_name: Klajn, Rafal id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b last_name: Klajn citation: ama: Wang J, Avram L, Diskin-Posner Y, et al. Altering the properties of spiropyran switches using coordination cages with different symmetries. Journal of the American Chemical Society. 2022;144(46):21244-21254. doi:10.1021/jacs.2c08901 apa: Wang, J., Avram, L., Diskin-Posner, Y., Białek, M. J., Stawski, W., Feller, M., & Klajn, R. (2022). Altering the properties of spiropyran switches using coordination cages with different symmetries. Journal of the American Chemical Society. American Chemical Society. https://doi.org/10.1021/jacs.2c08901 chicago: Wang, Jinhua, Liat Avram, Yael Diskin-Posner, Michał J. Białek, Wojciech Stawski, Moran Feller, and Rafal Klajn. “Altering the Properties of Spiropyran Switches Using Coordination Cages with Different Symmetries.” Journal of the American Chemical Society. American Chemical Society, 2022. https://doi.org/10.1021/jacs.2c08901. ieee: J. Wang et al., “Altering the properties of spiropyran switches using coordination cages with different symmetries,” Journal of the American Chemical Society, vol. 144, no. 46. American Chemical Society, pp. 21244–21254, 2022. ista: Wang J, Avram L, Diskin-Posner Y, Białek MJ, Stawski W, Feller M, Klajn R. 2022. Altering the properties of spiropyran switches using coordination cages with different symmetries. Journal of the American Chemical Society. 144(46), 21244–21254. mla: Wang, Jinhua, et al. “Altering the Properties of Spiropyran Switches Using Coordination Cages with Different Symmetries.” Journal of the American Chemical Society, vol. 144, no. 46, American Chemical Society, 2022, pp. 21244–54, doi:10.1021/jacs.2c08901. short: J. Wang, L. Avram, Y. Diskin-Posner, M.J. Białek, W. Stawski, M. Feller, R. Klajn, Journal of the American Chemical Society 144 (2022) 21244–21254. date_created: 2023-08-01T09:31:01Z date_published: 2022-11-15T00:00:00Z date_updated: 2023-08-02T06:39:50Z day: '15' doi: 10.1021/jacs.2c08901 extern: '1' intvolume: ' 144' issue: '46' keyword: - Colloid and Surface Chemistry - Biochemistry - General Chemistry - Catalysis language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1021/jacs.2c08901 month: '11' oa: 1 oa_version: Published Version page: 21244-21254 publication: Journal of the American Chemical Society publication_identifier: eissn: - 1520-5126 issn: - 0002-7863 publication_status: published publisher: American Chemical Society quality_controlled: '1' scopus_import: '1' status: public title: Altering the properties of spiropyran switches using coordination cages with different symmetries type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 144 year: '2022' ... --- _id: '13350' abstract: - lang: eng text: Confinement within molecular cages can dramatically modify the physicochemical properties of the encapsulated guest molecules, but such host-guest complexes have mainly been studied in a static context. Combining confinement effects with fast guest exchange kinetics could pave the way toward stimuli-responsive supramolecular systems—and ultimately materials—whose desired properties could be tailored “on demand” rapidly and reversibly. Here, we demonstrate rapid guest exchange between inclusion complexes of an open-window coordination cage that can simultaneously accommodate two guest molecules. Working with two types of guests, anthracene derivatives and BODIPY dyes, we show that the former can substantially modify the optical properties of the latter upon noncovalent heterodimer formation. We also studied the light-induced covalent dimerization of encapsulated anthracenes and found large effects of confinement on reaction rates. By coupling the photodimerization with the rapid guest exchange, we developed a new way to modulate fluorescence using external irradiation. article_processing_charge: No article_type: original author: - first_name: Julius full_name: Gemen, Julius last_name: Gemen - first_name: Michał J. full_name: Białek, Michał J. last_name: Białek - first_name: Miri full_name: Kazes, Miri last_name: Kazes - first_name: Linda J.W. full_name: Shimon, Linda J.W. last_name: Shimon - first_name: Moran full_name: Feller, Moran last_name: Feller - first_name: Sergey N. full_name: Semenov, Sergey N. last_name: Semenov - first_name: Yael full_name: Diskin-Posner, Yael last_name: Diskin-Posner - first_name: Dan full_name: Oron, Dan last_name: Oron - first_name: Rafal full_name: Klajn, Rafal id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b last_name: Klajn citation: ama: Gemen J, Białek MJ, Kazes M, et al. Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence. Chem. 2022;8(9):2362-2379. doi:10.1016/j.chempr.2022.05.008 apa: Gemen, J., Białek, M. J., Kazes, M., Shimon, L. J. W., Feller, M., Semenov, S. N., … Klajn, R. (2022). Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence. Chem. Elsevier. https://doi.org/10.1016/j.chempr.2022.05.008 chicago: Gemen, Julius, Michał J. Białek, Miri Kazes, Linda J.W. Shimon, Moran Feller, Sergey N. Semenov, Yael Diskin-Posner, Dan Oron, and Rafal Klajn. “Ternary Host-Guest Complexes with Rapid Exchange Kinetics and Photoswitchable Fluorescence.” Chem. Elsevier, 2022. https://doi.org/10.1016/j.chempr.2022.05.008. ieee: J. Gemen et al., “Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence,” Chem, vol. 8, no. 9. Elsevier, pp. 2362–2379, 2022. ista: Gemen J, Białek MJ, Kazes M, Shimon LJW, Feller M, Semenov SN, Diskin-Posner Y, Oron D, Klajn R. 2022. Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence. Chem. 8(9), 2362–2379. mla: Gemen, Julius, et al. “Ternary Host-Guest Complexes with Rapid Exchange Kinetics and Photoswitchable Fluorescence.” Chem, vol. 8, no. 9, Elsevier, 2022, pp. 2362–79, doi:10.1016/j.chempr.2022.05.008. short: J. Gemen, M.J. Białek, M. Kazes, L.J.W. Shimon, M. Feller, S.N. Semenov, Y. Diskin-Posner, D. Oron, R. Klajn, Chem 8 (2022) 2362–2379. date_created: 2023-08-01T09:32:14Z date_published: 2022-09-08T00:00:00Z date_updated: 2023-08-02T09:39:35Z day: '08' doi: 10.1016/j.chempr.2022.05.008 extern: '1' external_id: pmid: - '36133801' intvolume: ' 8' issue: '9' keyword: - Materials Chemistry - Biochemistry (medical) - General Chemical Engineering - Environmental Chemistry - Biochemistry - General Chemistry language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1016/j.chempr.2022.05.008 month: '09' oa: 1 oa_version: Published Version page: 2362-2379 pmid: 1 publication: Chem publication_identifier: eissn: - 2451-9294 issn: - 2451-9308 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 8 year: '2022' ... --- _id: '13351' abstract: - lang: eng text: 'Molecular recognition is at the heart of the noncovalent synthesis of supramolecular assemblies and, at higher length scales, supramolecular materials. In a recent publication in Nature, Stoddart and co-workers demonstrate that the formation of host-guest complexes can be catalyzed by one of the simplest possible catalysts: the electron.' article_processing_charge: No article_type: original author: - first_name: Julius full_name: Gemen, Julius last_name: Gemen - first_name: Rafal full_name: Klajn, Rafal id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b last_name: Klajn citation: ama: Gemen J, Klajn R. Electron catalysis expands the supramolecular chemist’s toolbox. Chem. 2022;8(5):1183-1186. doi:10.1016/j.chempr.2022.04.022 apa: Gemen, J., & Klajn, R. (2022). Electron catalysis expands the supramolecular chemist’s toolbox. Chem. Elsevier. https://doi.org/10.1016/j.chempr.2022.04.022 chicago: Gemen, Julius, and Rafal Klajn. “Electron Catalysis Expands the Supramolecular Chemist’s Toolbox.” Chem. Elsevier, 2022. https://doi.org/10.1016/j.chempr.2022.04.022. ieee: J. Gemen and R. Klajn, “Electron catalysis expands the supramolecular chemist’s toolbox,” Chem, vol. 8, no. 5. Elsevier, pp. 1183–1186, 2022. ista: Gemen J, Klajn R. 2022. Electron catalysis expands the supramolecular chemist’s toolbox. Chem. 8(5), 1183–1186. mla: Gemen, Julius, and Rafal Klajn. “Electron Catalysis Expands the Supramolecular Chemist’s Toolbox.” Chem, vol. 8, no. 5, Elsevier, 2022, pp. 1183–86, doi:10.1016/j.chempr.2022.04.022. short: J. Gemen, R. Klajn, Chem 8 (2022) 1183–1186. date_created: 2023-08-01T09:32:27Z date_published: 2022-05-12T00:00:00Z date_updated: 2023-08-02T07:24:57Z day: '12' doi: 10.1016/j.chempr.2022.04.022 extern: '1' intvolume: ' 8' issue: '5' keyword: - Materials Chemistry - Biochemistry (medical) - General Chemical Engineering - Environmental Chemistry - Biochemistry - General Chemistry language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1016/j.chempr.2022.04.022 month: '05' oa: 1 oa_version: Published Version page: 1183-1186 publication: Chem publication_identifier: eissn: - 2451-9294 issn: - 2451-9308 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Electron catalysis expands the supramolecular chemist’s toolbox type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 8 year: '2022' ...