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¹This work has been supported by Deutsche Forschungsgemeinschaft through Collaborative Research Center 910 "Control of self-organizing nonlinear systems: Theoretical methods and concepts of application".
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Funding This work was supported by the National Nature Science Foundation of China (No. 41807471) and the Open Research Fund Program of MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area (SZU51029202010).
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Acknowledgement: Partly supported by the Deutsche Forschungsgemeinschaft (DFG) and a Gay-Lussac Humboldt prize.
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Japan Society for the Promotion of Science (JSPS) provided funding to Satoshi Taniguchi under grant numbers 15K21645 and 11J02534. JSPS provided funding to Masayuki Shimojima under grant number 16K08041. Japan Agency for Medical Research and Development (AMED) provided funding to Masayuki Saijo under grant numbers 19fk0108072j0002. | assistance. This research was supported by Grant-in-aids from the Japan Society for the Promotion of Science KAKENHI (15K21645, 11J02534, and 16K08041).
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This work was supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) grant to G.C.D.
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This work is indebted to the volunteer developers producing FLOSS who have made their work available for inspection. We also gratefully acknowledge support from the Sloan Foundation through the Ford/Sloan Digital Infrastructure Initiative (Sloan Award 2018-113560 and the National Science Foundation (Grant IIS-2045055). This work was conducted using research computing resources at Northwestern University.
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This material is based upon work supported by the National Science Foundation under Grant No. 1116589.
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The research by Pavle V. M. Blagojević leading to these results has received funding from DFG via Collaborative Research Center TRR 109 "Discretization in Geometry and Dynamics." Also supported by the grant ON 174008 of the Serbian Ministry of Education and Science. | The research by Günter M. Ziegler received funding from DFG via the Research Training Group "Methods for Discrete Structures" and the Collaborative Research Center TRR 109 "Discretization in Geometry and Dynamics."
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This work was financially supported by the Key Agricultural Project of Guizhou Province (QHZC-[2016]2580 and QHZC-[2019]2382), the National Natural Science Foundation of China (31870002 and 31660010), the Guizhou University Introduced Talent Project (GZU RGHZ (2019)33) and the Qiankehe talents project ([2018]5781 and [2017]5788-11).
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N.B., T.M., and A.V. acknowledge support by the DFG cluster of excellence ORIGINS funded by the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy - EXC-2094390783311. The work of N.B. is supported by the DFG Grant No. BR 4058/5-1 "Open Quantum Sytems and Effective Field Theories for hard probes of hot and/or dense medium". N.B., T.M., and A.V. acknowledge support from STRONG-2020, European Union's Horizon 2020 research and innovation program under grant agreement No. 824093. M.S. was supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics (Nuclear Theory) under contract number DE-SC0013470. P.V.G. was supported by the U.S. Department of Energy Award No. DE-SC0019095. P.V.G. is grateful for the support and hospitality of the Fermilab theory group. Fermilab is operated by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the United States Department of Energy.
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This research was supported by National Institutes of Health DA017716 and DA016776 and the NIH/National Center for Research Resources UCSF-CTSI UL1 RR024131.
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Acknowledgments: The study was supported by the Slovak Research and Development Agency as part of the research project APVV-20-0387: "Psychological context of unfounded information and beliefs related to the COVID-19 pandemic". Materials for the whole project are publicly available at: https://osf.io/7yuhj/and data for this study are available at: https://osf.io/25gns/?view_only=3b76637ab3244f0f8da64aa81a98ea9f. | Acknowledgments: The study was supported by the Slovak Research and Development Agency as part of the research project APVV-20-0387: "Psychological context of unfounded information and beliefs related to the COVID-19 pandemic".
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This work was supported by NSTC of Taiwan under Grant 111-2628-E-002-005-MY2 and 113-2628-E-002-022-MY4, and NTU under Grant 113L7764, 113L891404, and 113L900902. The material in this paper was presented in part at the 2024 IEEE International Symposium on Information Theory, July 2024.
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*C.M.V.O., M.T.T.K., and B.F.T. were supported by MITRE's Financial Innovation Lab. E.R.C. was supported by the MITRE PhD Fellowship in Computational Finance within the Complex Systems Center at the University of Vermont.
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We would like to thank Jeremy Baier and members of the NANOGrav Detection Working group for useful comments on the manuscript. JPS, XS, and DRM are members of the NANOGrav Collaboration. The NANOGrav collaboration receives support from National Science Foundation (NSF) Physics Frontiers Center award No. 2020265. This work is also partly supported by the George and Hannah Bolinger Memorial Fund in the College of Science at Oregon State University.
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This project was supported by the NIHR HS&DR programme with grant number 131606. The views and opinions expressed herein are those of the authors and do not necessarily reflect those of the HS&DR programme.
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This work was supported by the National Key Research and Development Program of China (2020YFB1807700), and the National Natural Science Foundation of China (NSFC) under Grant No. 62071356 and No. 62201414, and the fundamental research funds for the central universities under grant ZYTS23175.
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Studies were supported by the National Institutes of Health (Grants R01-EY-027786 and P30-EY-026877), the Department of Defense (Grant W81XWH-19-1-0738), AFOSR (Grant FA9550-19-1-0402), Wu Tsai Institute of Neurosciences at Stanford, and unrestricted grant from Research to Prevent Blindness. Photovoltaic arrays were fabricated at the Stanford Nano Shared Facilities (SNSF) and Stanford Nanofabrication Facility (SNF), which are supported by the National Science Foundation award ECCS1542152. K.M. was supported by a Royal Academy of Engineering Chair in Emerging Technology, UK. We would like to thank Dr. Tong Ling for his help with the design and assembly of the optical system for prosthetic acuity measurements and its software.
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The present research is part of the activities of "Dipartimento di Eccellenza 2023-2027", MUR, Italy, Dipartimento di Matematica, Politecnico di Milano. R. Piersanti and L. Dede' have received support from the project PRIN2022, MUR, Italy, 2023-2025, 202232A8AN "Computational modeling of the heart: from efficient numerical solvers to cardiac digital twins". F. Regazzoni has received support from the project PRIN2022, MUR, Italy, 2023-2025, P2022N5ZNP "SIDDMs: shape-informed data-driven models for parametrized PDEs, with application to computational cardiology". The authors acknowledge their membership to INdAM GNCS - Gruppo Nazionale per il Calcolo Scientifico (National Group for Scientific Computing, Italy). This project has been partially supported by the INdAM-GNCS Project CUP E53C22001930001.
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Acknowledgments This work was supported mainly by the LIACS Media Lab at Leiden University and in part by the China Scholarship Council. We would like to thank NVIDIA for the donation of GPU cards.
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This material is based upon work supported by the National Science Foundation under grants no. PHY-1654219 and PHY-2116686. This work was supported in part by the National Science Foundation (NSF) within the framework of the MUSES collaboration, under grant number OAC-2103680, the US-DOE Nuclear Science Grant No. DE-SC0020633, US-DOE Office of Science, Office of Nuclear Physics, within the framework of the Beam Energy Scan Topical (BEST) Collaboration. J.N. is partially supported by the U.S. Department of Energy, Office of Science, Office for Nuclear Physics under Award No. DE-SC0021301.
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Part of this work was supported by JSPS KAKENHI Grant Numbers JP17H06101 and JP 17K00237.
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Two of us (L.Z. and N.Z.) would like to acknowledge the hospitality of the Abdus Salam ICTP (Trieste, Italy) during the progress of this work. Financial support from the Arab Fund is acknoledged by N.Z.
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This work was supported by the National Natural Science Foundation of China (42141019, 41831175, 91937302, 41721004, 41875083, and 42075029), Key Deployment Project of Centre for Ocean Mega-Research of Science, Chinese academy of science (COMS2019Q03), and Strategic Priority Research Program of Chinese Academy of Sciences (XDA20060501).
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This work was supported in part by the National Science Foundation through grant DMS-1312377, which is gratefully acknowledged.
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This research was supported by the Research Foundation - Flanders (FWO) [grant number 1SC2921N] and by the Flemish Government (AI Research Program).
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Fundação para a Ciência e Tecnologia (FCT) is acknowledged for financial support through several projects PTDC/MED-QUI/30591/2017 and UIDB/DTP/04138/2020 (FFUL), and UIDB/04423/2020 and UIDP/04423/2020 (FFUP). FCT and National Network for Advanced Computing (RNCA) are acknowledged for financial support through projects CPCA/A0/7304/2020 and 2021.09821.CPCA. This work also received financial support by national funds, and was co-financed by the European Union (FEDER) over PT2020 Agreement (UIDB/QUI/50006/2020 and POCI/01/0145/FEDER/007265). Cátia A. Bonito and Fernando Durães acknowledge FCT for their PhD grants SFRH/BD/130750/2017 and SFRH/BD/114681/2019, respectively. Professor doctor Emília Sousa and Fernando Durães acknowledge to the Interdisciplinary Centre of Marine and Environmental Research (CIIMAR). The authors are also grateful to Simon Lefevre (LBMC, UNamur) for its technical support in gathering ATPase assays data.
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R. Konda (rkonda@ucsb.edu), R. Chandan, D. Grimsman and J. R. Marden are with the Department of Electrical and Computer Engineering at the University of California, Santa Barbara, CA. This work is supported by ONR Grant #N00014-20-1-2359 and AFOSR Grant #FA9550-20-1-0054.
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M.W.S.'s efforts on this paper were partially supported by the National Institute of Mental Health under award number K23MH126211. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institute of Health.
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The research was supported in part by the DAAD funded by the Bundesministeriums für Bildung und Forschung (BMBF) (PPP USA 2018, 57387214) as well as the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 812954.
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We thank the funding support from Michigan Soybean Promotion Committee, USDA National Institute of Food and Agriculture (Hatch project 1011788) and AgBioResearch at Michigan State University (Project No. MICL02013). We are also thankful to the Overseas Training Program for Young-Backbone Teachers of Hebei Agricultural University to WL. We are also thankful to University Grants Commission (UGC), India, for providing Raman Postdoctoral Fellowship (5-20/2016(IC)) to SHW. We also thank PJC, ZW, YB, RT, and SZ for their help in creating and maintaining the mapping populations.
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This work was equally supported by a National Research Foundation of Korea (NRF) grant (2016R1A5A2945889 to I.H. and J.Y.A.) funded by the Ministry of Science and ICT (MSIT) of Korea and the Technology Innovation Program (20008413 to J.Z., Z.C., J.H., and S.P.) funded by the Ministry of Trade, Industry, & Energy (MOTIE) of Korea, and the Fostering Global Talents for Innovative Growth Program (P0008746 to W.L.) supervised by the Korea Institute for Advancement of Technology (KIAT).
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This work was supported by the European Research Council (EVOBREED) [322621] and a Gatsby Fellowship [AT3273/GLE].
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We thank Alex M. Ganose for insightful discussions regarding the electronic band structures of these compounds. W.Z.D, K.B.S, and D.O.S acknowledge support from the European Research Council (grant 758345). S.R.K. acknowledges the EPSRC Centre for Doctoral Training in the Advanced Characterisation of Materials (EP/S023259/1) for a PhD studentship. W.Z.D and M.Z acknowledge the support of the National Key R&D Program of China (2022YFF0708800), the Natural Science Foundation of Zhejiang Province (LZ22A040004), and the National Natural Science Foundation of China (11674042). W.Z.D acknowledges the support of the international joint doctoral education fund of Beihang University. W.Z.D, K.B.S, S.R.K and D.O.S acknowledge the support of the UCL Myriad and Kathleen High-Performance Computing Facilities (Myriad@UCL, Kathleen@UCL). K.B.S, S.R.K and D.O.S acknowledge the support of the ARCHER2 UK National Supercomputing Service (https://www.archer2.ac.uk) via our membership of the UK's HEC Materials Chemistry Consortium, which is funded by the EPSRC (EP/L000202, EP/R029431 and EP/T022213), the UK Materials and Molecular Modelling (MMM) Hub (Young EP/T022213). W.Z.D and M.Z acknowledge the support of the High-Performance Supercomputing Center of Zhongfa Aviation Institute of Beihang University and the Center for High-Performance Computing of Beihang University (BHHPC). K.B.S and D.O.S acknowledge the University of Birmingham's BlueBEAR HPC service (http://www.birmingham.ac.uk/bear); the Baskerville Tier 2 HPC service (https://www.baskerville.ac.uk/), which was funded by the EPSRC and UKRI through the World Class Labs scheme (EP/T022221/1) and the Digital Research Infrastructure programme (EP/W032244/1) and is operated by Advanced Research Computing at the University of Birmingham; and the Sulis Tier 2 HPC platform hosted by the Scientific Computing Research Technology Platform at the University of Warwick, which is funded by EPSRC Grant EP/T022108/1 and the HPC Midlands+ consortium.
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We thank all members of the Gilad lab for helpful discussions, Kristen Patterson for experimental assistance, and the Genomics Core Facility at the University of Chicago for sequencing the RNA-seq libraries. We thank The Genotype-Tissue Expression (GTEx) Project, supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS, for providing data. The data used for the analyses described in this manuscript were obtained from the GTEx portal v7 on May 24th 2018. M.C.W is supported by an EMBO Long-Term Fellowship (ALTF 751-2014), and the European Commission Marie Curie Actions. This work was funded by NIH grants GM120167 and HL139447.
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Observatory (ForestGEO) Plot Project. This project was supported by a Webster Groves Nature Study Society (WGNSS) Bo Koster Scholarship to ACW, George Hayward Plant Biology Graduate Fellowship to ACW, Maxwell/Hanrahan Foundation Field Work Grant from the Missouri Botanical Garden to ACW, National Science Foundation grants DEB 1557094 and DEB 2240431 to JAM, the International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, ForestGEO, Washington University in St. Louis' Provost's Office, and Tyson Research Center.
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This work is supported by NSFC (22076122) and Shanghai government (19SG42, 19520710700 and 18230742500).
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†Department of Statistics and Actuarial Science, University of Waterloo, Canada. wang@uwaterloo.ca. RW acknowledges financial support from the Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-03823 and CRC-2022-00141.
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This work was supported by the Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, ROC, Ministry of Science and Technology, Taipei, Taiwan, ROC and National Health Research Institutes (109-1901-01-19-07), Taiwan, Republic of China. | The authors would like to express their immense gratitude to the Institute of Biomedical Engineering, National Taiwan University, Ministry of Science and Technology and the National Health Research Institutes for their financial support.
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This research has been supported by grant TIN2016-77206-R from the Spanish Government, co-financed by the European Regional Development Fund. IP received a predoctoral grant and RSC a postdoctoral grant from UNED, both co-financed by the Regional Government of Madrid with funds from the Youth Employment Initiative (YEI) of the European Union.
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F.J. Aragón was supported by MINECO of Spain and ERDF of EU, as part of the Ramón y Cajal program (RYC-2013-13327) and the I+D grant MTM2014-59179-C2-1-P. M. Ahookhosh, R.M.T. Fleming, and P.T. Vuong were supported by the U.S. Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant #DE-SC0010429. P.T. Vuong was also supported by the Austrian Science Foundation (FWF), grant I 2419-N32.
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An acknowledgment section references the writing of the paper in Aarhus University, Denmark, and mentions financial support for the research. the RFFI grant No 11-01-00458 and by project SPbGU No 11.38.215.2014.
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R.E.A.G., S.C. and C-S.L. contributed equally to this work. D.D.J would like to thank the EPSRC (EP/J015318/1 and EP/V048147/1) for supporting this work. We gratefully acknowledge financial support from the U.S. Air Force Office of Scientific Research under award FA8655-21-1-7003. R.E.A.G. was supported by the Biotechnology and Biological Sciences Research Council-funded South West Biosciences Doctoral Training Partnership [training grant reference BB/M009122/1]. S.C. acknowledges support from the Program for College Research of the Fonds de recherche du Québec – Nature et technologie (FRQ-NT #275304 and #321076). K.R. was supported by Wellcome Trust Institutional Strategic Support Fund (grant reference AC1910IF14) awarded to D.D.J. The authors would like to thank the Cardiff School of Biosciences Protein Technology Hub for helping with the production and analysis of proteins. The BLIP2, TEM-1 and KPC-2 containing
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We thank Y. Xu for helpful discussions. This research was funded by the National Natural Science Foundations of China (Grant No. 12034004, No. 11774061, and No. 11774306), the Shanghai Municipal Science and Technology (Major Project Grant No. 2019SHZDZX01 and No. 20ZR1405300), the National Research and Development Program of China, No. 2016YFA0300503, and the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDB28000000).
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The authors were partially supported by the NSF grant DMS-1517583. We thank the anonymous referees for many helpful comments which greatly improve the quality of the paper.
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This work was supported by grants from the Natural Science Foundation of Guangdong Province (2022A1515012103), and the National Natural Science Foundation of China (81870222, 32070813).
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We thank Drs. Peter Narins, Hyle Park and Xiaohui Lin. This work was supported by NIH/NIDCD R01DC011506, R21DC019998, and VA Merit Award C2296-R to W.D.
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We thank the anonymous referees for helpful comments and suggestions. We thank B.M. Broderick, B.T. Draine, B.A. McGuire, and E.F. van Dishoeck for stimulating discussions. KJL and TTF are supported by the National Key R\&D Program of China under No. 2017YFA0402600, and the NSFC grants 11890692, 12133008, and 12221003, as well as CMS-CSST-2021-A04. XJY is supported in part by NSFC 12333005 and 12122302 and CMS-CSST-2021-A09.
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*Weizmann Institute of Science, Israel. Work partially supported by ONR Award N00014-18-1-2364, the Israel Science Foundation grant #1086/18, and a Minerva Foundation grant. Email: robert.krauthgamer@weizmann.ac.il | †University of Washington, Seattle, WA. Work supported by NSF grants CCF-1616297 and CCF-1407779 and a Simons Investigator Award. Email: jrl@cs.washington.edu
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This work was supported by the DFG, project GO 3250/2-1 A.G. and C.G.L..
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The authors acknowledge funding of this research by Canada Research Chairs program.
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The first author was partially supported by NSF grant DMS-0757907 and by the Alfried Krupp prize. The final details of the paper were completed at the AIM workshop “Mock modular forms in combinatorics and arithmetic geometry.” The authors would like to thank AIM for their support and for supplying a stimulating work environment.
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This work was partially supported by a Grant-in-Aid for JSPS Fellows Grant Number JP19J12159, JSPS KAKENHI Grant Number JP20H00230, and JST [Moonshot R&D] [Grant Number JPMJMS2032].
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This publication was made possible by NPRP grant # NPRP9-224-1-049 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
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Acknowledgments. Thanks are due to B. Kostant for kindly answering some basic questions concerning stabilisers of semisimple Lie algebra elements. This research is partially supported by ANR grants 08-BLAN-0317-01/02 (SEDIGA), 05-BLAN-0029-01 (GIMP).
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This work is supported by CME Group. We thank them for providing us with valuable data and we are grateful for their donation of the Maxeler FPGA hardware. We especially acknowledge Ryan Eavy, Executive Director, Architectures at CME Group for his support and introduction to Maxeler.
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Funding: This work was supported by an SNF grant (S-41260-01-01) to T.K and a Deutsche Forschungsgemeinschaft grant Lu375/15-1 to H.J.L.
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This research was financially supported by the National Key Research and Development Program of China (2016YFD0101802), the National Natural Science Foundation of China (31600216), the Natural Science Foundation of Hebei Province, China (C2017301066), and the HAAFS Agriculture Science and Technology Innovation Project (2019-4-8-1). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
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Funding: KSB, JA, TD, and RT were supported by the Cancer Research United Kingdom (grant no. C8221/A29017). HBS and AVS are funded by The Swedish Cancer Society (Grants 20 0990). RMM is a National Institute for Health Research Senior Investigator (NIHR202411). RMM is supported by a Cancer Research UK 25 (C18281/A29019) programme grant (the Integrative Cancer Epidemiology Programme). RMM is also supported by the NIHR Bristol Biomedical Research Centre which is funded by the NIHR (BRC-1215-20011) and is a partnership between University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. RMM is affiliated with the Medical Research Council Integrative Epidemiology Unit at the University of Bristol which is supported by the Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4) and the University of Bristol. Department of Health and Social Care disclaimer: The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
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This study was financially supported by Liao Ning Revitalization Talents Program (XLYC1905010) and Key R&D Program of Liao Ning Province (2019JH2/10200004). XXW is supported by State Key Laboratory of North China Crop Improvement and Regulation.
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This work was supported by the Washington Research Foundation and by a Data Science Environments project award from the Gordon and Betty Moore Foundation (Award #2013-10-29) and the Alfred P. Sloan Foundation (Award 3835) to the University of Washington eScience Institute.
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This work is supported in part by gifts from the Intel Corporation and in part by the Naval Supply Systems Command award under the Naval Postgraduate School Agreements No. N00244-15-0050 and No. N00244-16-1-0018.
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T. Kulczycki was supported by the National Science Centre, Poland, grant no. 2019/33/B/ST1/02494.
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Funding This study was funded by Grant NIH/NIA RF1AG069121 and Grant NIH/NIA 1R01AG073474-01A1.
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O.B would like to acknowledge the European Union's Horizon 2020 - EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility under the Marie Sklodowska-Curie individual fellowship MSCA-IF-2017, MetaBioMec, Grant agreement ID:796405. The authors would like to thank Mrs. Silvia Bassini for iconographic material. Hussein Rappel was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1 and EPSRC Grant EP/W006022/1, particularly the "Digital twins for complex systems engineering" theme within those grants and The Alan Turing Institute. Mark Girolami acknowledges support from the UK Engineering and Physical Sciences Research Council (grant nos. EP/T000414/1, EP/R018413/2, EP/P020720/2, EP/R034710/1, EP/R004889/1), as well as a Research Chair supported by the Royal Academy of Engineering and Lloyds Register Foundation.
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The first author acknowledges supports from Louisiana Board of Regents, grant # LEQSF(2017-19)-ENH-TR-25. The second author is partially supported by grant 101.04-2019.313 of the Vietnam National Foundation for Science and Technology Development.
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Funding This work was supported by the Fundação para a Ciência e a Tecnologia (Grant UI/BD/150716/2020). | This work was funded by the Fundação para a Ciência e a Tecnologia (Grant UI/BD/150716/2020).Warm thanks go to it as well as to my supervisor, Prof. Carlos Smaniotto Costa, for his support and insightful comments, and to the research laboratories in education and in urbanism of the CeiED (Interdisciplinary Research Centre on Education and Development) that hosted me at Lusófona university.
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We thank the reviewers for their valuable comments. Yong Jiang and Lijie Wen are the corresponding authors. Xuming Hu, Aiwei Liu and Lijie Wen were partially supported by the National Key Research and Development Program of China (No. 2019YFB1704003), the National Nature Science Foundation of China (No. 62021002), Tsinghua BN Rist and Beijing Key Laboratory of Industrial Bigdata System and Application. Philip S. Yu was partially supported by the NSF under grants III-1763325, III-1909323, III-2106758, SaTC-1930941.
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This work is funded in part by National Science Foundation Smart and Connected Communities grant NSF-1831698.
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This study was supported by the National Natural Science Foundation of China (42207275). | This study was supported by the National Natural Science Foundation of China (42207275).
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This work was supported by the U.S. Department of Energy under Contract No. DE-SC0012704 and by Laboratory Directed Research and Development (LDRD) funds from Brookhaven Science Associates.
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We would like to thank Matthias Rieckher for supplying us the videos of the CSB-1 dataset, as well as Xiao-Liu Chu for supplying the Mating Dataset video. We thank everyone who helped us annotating the data used in this publication. Maurice Deserno and Katarzyna Bozek were supported by the North Rhine-Westphalia return program (311-8.03.03.02-147635), BMBF program Junior Group Consortia in Systems Medicine (01ZX1917B) and hosted by the Center for Molecular Medicine Cologne. We thank the Regional Computing Center of the University of Cologne (RRZK) for providing computing time on the DFG-funded (Funding number: INST 216/512/1FUGG) High Performance Computing (HPC) system CHEOPS as well as support.
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This research is supported by the Science and Technology Development Fund of Macau SAR (File no. 0021/2022/ITP, 0081/2022/A2, SKL-IoTSC(UM)-2021-2023/ORP/GA08/2022, SKL-IoTSC(UM)-2024-2026/ORP/GA06/2023), and University of Macau (SRG2023-00037-IOTSC). We extend our gratitude to the Institute for Advanced Studies in Humanities and Social Sciences (IAS) for their valuable assistance. For any correspondence regarding this paper, please contact Dr. Zhenning Li at zhenningli@um.edu.mo or Dr. Chengzhong Xu at czxu@um.edu.mo.
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We are grateful to British Telecommunications PLC who are supporting the PhD research of the first author in the UK EPSRC CASE scheme, giving invaluable guidance on the needs and possibilities of intelligent security tools and their evaluation. Part of this paper draws on the 2019 MSc dissertation of the second author. Nikola Pavlov helped with some of the earlier implementation. The third author was supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 and the Office of Naval Research ONR NICOP award N62909-17-1-2065.
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This research is supported by the National Research Foundation, Singapore under its AI Singapore Programme (AISG Award No: AISG2-RP-2021-025), its NRFF award NRF-NRFF15-2023-0001. We also acknowledge Mengmi Zhang's Startup Grant from Agency for Science, Technology, and Research (A*STAR), and Early Career Investigatorship from Center for Frontier AI Research (CFAR), A*STAR.
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I would like to thank Tatiana Odzijewicz, for a careful and thoughtful reading of the manuscript. This work was supported by Portuguese funds through the CIDMA - Center for Research and Development in Mathematics and Applications, and the Portuguese Foundation for Science and Technology (FCT-Fundaç\~ao para a Ciência e a Tecnologia), within project UID/MAT/04106/2013.
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This work was partially supported by NSERC Canada, Brain Canada, NSF China and CSC China. | W.L. Scholarship was Council supported (Grant by No. K. C. 201408330402), Wong Magna Found and the in Ningbo Ningbo Natural University, Science the China Foundation (2016A610078). T.L. was supported by Brain Canada and NSF China (Grant Nos. 61221063 and 71371129). R.G. was supported by NSERC Canada. G.L. was supported by NSERC Canada and NSF China (Grant No. 61672323).
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BMN and TBHG were supported by Aidsfonds (P-11118), European Research Council, Advanced grant (670424). BML is supported by the Indonesian Endowment Fund for Education (grant no. 20150822023688). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Funding: This research was funded by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, grant number 2007/54241-8), and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, grant 310648/2022-0).
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Acknowledgements: A.V. is a research fellow supported by the Sarnoff Cardiovascular Research Fellowship.
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*This research was supported by the National Natural Science Foundation of China (Grants #10325101 and #11171076), and by Science and Technology Commission, Shanghai Municipality (Grant No.14XD1400400). The author would like to thank his advisor, Prof. Shanjian Tang from Fudan University, for helpful comments and discussions.
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We thank the laboratory of Dr. Sven Traxel (Merck Element Analytics) for conducting and evaluating the ICP-MS analyses; the Chemical Synthesis Centre for Doctoral Training (funded by EPSRC (EP/L015366/1), AstraZeneca, GlaxoSmithKline, Syngenta, UCB, Ziylo and the University of Bristol) for the provision of a PhD studentship (BJSR); the EPSRC for a part studentship and AstraZeneca for CASE top-up funding (H.M.O'B.), the Technology Enhanced Chemical Synthesis Centre for Doctoral Training, funded by EPSRC (EP/S024107/1), [AstraZeneca, Astex, Bayer, GlaxoSmithKline, Syngenta, Vertex] and the University of Bristol, for the provision of a PhD studentship (P.R.D.-D.) and the UK Catalysis Hub for resources and support provided via our membership of the UK Catalysis Hub Consortium and funded by EPSRC grant: EP/R026939/1, EP/R026815/1, EP/R026645/1, EP/R027129/1 or EP/M013219/1(biocatalysis)).
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We thank G. Rose, M. Kotkamp, M. Brewer, and J. Robinson for their efforts to maintain and calibrate the WVMS instruments at Mauna Loa, Table Mountain, and Lauder. This work was supported by the NASA Earth Sciences Division Upper Atmosphere Research Program and by the Office of Naval Research. Work at the Jet Propulsion Laboratory, California Institute of Technology, was carried out under a contract with the National Aeronautics and Space Administration. We thank M. Heney for making the daily GMA:GEOS5 temperature data at each site available in a convenient form.
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This study was supported by the National Natural Science Foundation of China (82060551; 82060666).
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Acknowledgments We acknowledge the funding support from the National Natural Science Foundation of China (Grant No. 52174088). The authors would like to thank the anonymous reviewers and editors for their constructive suggestions which greatly improve the quality of this paper. | Funding This research received no external funding.
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This research work was funded by the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology.
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This material is based on research sponsored by DARPA under agreements FA8750-19-C-0003 and HR0011-18-C-0060, and by a gift from Intel Corp. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. This research has also been sponsored by the Amazon Machine Learning Research Awards program and a GPU grant from Nvidia Corp. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA, the U.S. Government, or the other sponsors.
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We would like to thank the referees for their invaluable comments and suggestions. We are also grateful to Dr. Yunwen Lei for pointing out a bug in the proof of Lemma 5 in an early version of the paper and providing Lemma 6 to us. The work by D. X. Zhou described in this paper is supported by a grant from the Research Grants Council of Hong Kong [Project No. CityU 105011].
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We thank Hsuan-Chi Liu, Chin-Kun Fu, and Shih-Yao Mao for helping with participant recruitment and experiment preparation. We also thank Felix B. Kern and Amit Yaron for proofreading. This study was supported by Japan Society for the Promotion of Science, Japan (to Y.T.H), Ministry of Science and Technology of Taiwan, Taiwan (MOST 106-2420-H-002 -008-MY2 and MOST 109-2410-H-002-106-MY3) (to C.W), and World Premier International Research Center Initiative (WPI), MEXT, Japan (to Z.C.C.).
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The first author was partially supported by Conicyt (Programa de Inserción de Capital Humano Avanzado, PAI 79140019). The second author was partially supported by Fondecyt (Grant No. 1141254). The research of the third author has been cofinanced by the European Union (European Social Fund—ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF)—Research Funding Program: THALES: Reinforcement of the interdisciplinary and/or inter-institutional research and innovation.
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The authors thank Yoichi Miyawaki, Yasuhito Sawahata, Makoto Takemiya, and Kei Majima for helpful comments on the manuscript; and Mitsuaki Tsukamoto for help with data collection. Guohua Shen for help with implementing codes for generating preferred images. This research was supported by grants from JSPS KAKENHI Grant number JP26119536, JP26870935, JP15H05920, JP15H05710, a contract with the Ministry of Internal Affairs and Communications entitled "Novel and innovative R&D making use of brain structures", ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), and the New Energy and Industrial Technology Development Organization (NEDO).
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The author would like to thank Kazuhiro Sakai for useful discussions. This work was supported in part by JSPS KAKENHI Grant No. 19K03845.
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This publication has emanated from research conducted with the financial support of Science Foundation Ireland under Grant number 19/FFP/7005(T).
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We are grateful to all colleagues for participating in the research and express our gratitude to the 20-20 project of Samsung Medical Center and the National Research Foundation of Korea (NRF-2017R1A2B4005136). | This study was supported by a grant from the Basic Science Research Program through the National Research Foundation of Korea (NRF), which is funded by the Ministry of Education, Science, and Technology (NRF-2017R1A2B4005136). The experiments of this study including immunohistochemistry and cytokine measurements were funded by the aforementioned grant. However, there was no role of the funding body in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
{ "entities": { "funder_name": [ "Samsung Medical Center", "National Research Foundation of Korea (NRF)", "Ministry of Education, Science, and Technology" ], "funding_scheme": [ "20-20 project", "Basic Science Research Program" ], "award_ids": [ "NRF-2017R1A2B4005136" ], "award_title": [] } }
We thank funding support from National Institute of Food and Agriculture (Agriculture and Food Research Initiative grant 2015-67017- 23142) and U.S. Department of Agriculture (agreement no. 58-8050-4-003). The funding sources were not involved in the study design, conduct of the study, or collection, management, analysis, or interpretation of the data or in the preparation or review of the manuscript and had no right to approve or disapprove of the submitted manuscript. | Supported by Agriculture and Food Research Initiative grant 2015-67017- 23142 from National Institute of Food and Agriculture to SLF, Clinical and Translational Science Awards UL1TR002544 from National Institutes of Health to Tufts Clinical and Translational Science Institute, and the U.S. Department of Agriculture under agreement no. 58-8050-4-003 to Jean Mayer USDA Human Nutrition Research Center on Aging.
{ "entities": { "funder_name": [ "National Institute of Food and Agriculture", "U.S. Department of Agriculture", "National Institutes of Health" ], "funding_scheme": [ "Agriculture and Food Research Initiative", "Clinical and Translational Science Awards" ], "award_ids": [ "2015-67017- 23142", "58-8050-4-003", "UL1TR002544" ], "award_title": [] } }
The analysis described in this paper was supported by the Ministry of Science and Technology (MOST), Taiwan, under grant numbers 112-2811-M-845-001 and 111-2111-M-845-001. We are grateful to Professor Tim Li for his valuable comments. We also wish to express our gratitude to Mr. HC Liang for his assistance in downloading the model outputs used. This manuscript was edited by Wallace Academic Editing.
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Acknowledgments This work was started at Dubna in August of 2009, when both of us were participating at Bogolyubov Conference on Quantum Field Theory and Elementary Particle Physics. We are grateful to K.G. Chetyrkin for discussions during this Conference. We also wish to thank V.M.Braun and D.J. Broadhurst for useful communications prior and after this event. One of us (ALK) is grateful to his colleagues for creating rather stimulating atmosphere during his stay at Th Unit of CERN up to 24 October, 2009 and to the Members of Organizing Committee of RADCOR-2009 for the invitation, hospitality and financial support during his stay at this important Symposium. The work of both of us was supported in part by the RFBR grant No. 08-01-00686, while the work of ALK in part by the grant of President of RF NS-1616.2008.2 as well.
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Funding. RH is supported by the German space agency (Deutsches Zentrum für Luft- und Raumfahrt) under PLATO Data Center grant 50OO1501. JPD and JR acknowledge support from the DFG SPP 1833 "Building a Habitable Earth" (DU 1450/3-1, DU 1450/3-2, and RE 665/42-2).
{ "entities": { "funder_name": [ "German space agency (Deutsches Zentrum für Luft- und Raumfahrt)", "DFG" ], "funding_scheme": [ "SPP 1833 \"Building a Habitable Earth\"" ], "award_ids": [ "50OO1501", "DU 1450/3-1, DU 1450/3-2, RE 665/42-2" ], "award_title": [] } }
This research was supported by the Korea Institute of Science and Technology (KIST) Institutional Program [grant number 2E30170] and the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (Information & Communication Technology) [grant number NRF-2020M1A2A2080847].
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The presented was supported by a research grant from Smith & Nephew. The main author ML has served scientific consultant for the preparation of the manuscript. Author ML has performed educational activities for Smith and Nephew. Stacey Leake-Gardner is employed by Smith & Nephew. The other authors has no conflicts of interest in relation to the present study. | The study was supported by a research grant from smith & Nephew. Grant # 15000946.
{ "entities": { "funder_name": [ "Smith & Nephew" ], "funding_scheme": [], "award_ids": [ "15000946" ], "award_title": [] } }
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