cometadata/test-preprints-extracted-funding huggingface dataset:
? D. Del Rey Fernandez was partially supported by a NSERC Postdoctoral Fellowship, and gratefully acknowledges this support. Associated with this paper is a NASA TM report that includes many of the proofs which were omitted for brevity.
Special thanks are extended to Dr. Mujeeb R. Malik for partially funding this work as part of NASA's 'Transformational Tools and Technologies' ( T 3 ) project. The research reported in this publication was also supported by funds from King Abdullah University of Science and Technology (KAUST). We are thankful for the computing resources of the Supercomputing Laboratory and the Extreme Computing Research Center at KAUST. Gregor Gassner and Lucas Friedrich has been supported by the European Research Council (ERC) under the European Unions Eights Framework Program Horizon 2020 with the research project Extreme, ERC grant agreement no. 714487.
∗ John Paige was supported by The National Science Foundation Graduate Research Fellowship Program under award DGE-1256082, and Jon Wakefield was supported by the National Institute of Health under award R01CAO95994.
∗ John Paige was supported by The National Science Foundation Graduate Research Fellowship Program under award DGE-1256082, and Jon Wakefield was supported by the National Institutes of Health under award R01CAO95994.
This work was supported in part by the DFG via the German Israeli Project Cooperation (DIP), in part by the Israel Science Foundation (ISF), in part by the Cyber Center at Ben-Gurion University of the Negev, and in part by the WIN consortium via the Israel minister of economy and science. The work of O. Sabag has been partially supported by the ISEF postdoctoral fellowship. The work of S. Shamai has also been supported by the European Union's Horizon 2020 Research And Innovation Programme, grant agreement no. 694630. The work of N. Kashyap was supported in part by a MATRICS grant (no. MTR/2017/000368) administered by the Science and Engineering Research Board (SERB), Govt. of India. This paper was presented in part at the 2019 IEEE International Symposium on Information Theory [1].
Support from the UK EPSRC is acknowledged, through grant nos. EP/N017188/1, EP/M014452/1, EP/P027156/1 and EP/N03337X/1. Support from the European Commission is provided by the FET Open project 767187 QuIET. A.I is grateful for financial assistance from Tikrit University (Iraq), and the Iraqi Ministry of Higher Education (SL-20). NL is grateful for a Royal Society Wolfson Research Merit Award. LC and X.W acknowledge FSRF funding.
This project was initiated during an extended visit by Pecastaing to the University of Maryland supported by GEAR Network grant DMS-1107452, 1107263, 1107367 from the NSF. Melnick gratefully acknowledges support from NSF grant DMS-1255462 and from the Max-Planck-Institut für Mathematik in Bonn, where she was a Visiting Scientist during much of the research for this paper. Pecastaing was also partially supported by FNR grants INTER/ANR/15/11211745 and OPEN/16/11405402 while a Postdoctoral Researcher at the University of Luxembourg during much of the research and the writing of this paper. We thank A. Zeghib for suggesting this problem many years ago. We thank A. Chatzistamatiou and C. Frances for helpful conversations.
Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Another part of the data for this project was provided by the Cambridge Centre for Ageing and Neuroscience (CamCAN). CamCAN funding was provided by the UK Biotechnology and Biological Sciences Research Council (grant number BB/H008217/1), together with support from the UK Medical Research Council and University of Cambridge, UK.
We thank members of the CNNP lab ( www.cnnp-lab.com ) for discussions on the analysis and manuscript. P.N.T. and Y.W. gratefully acknowledge funding from Wellcome Trust (208940/Z/17/Z and 210109/Z/18/Z). J.H.N. was supported by the Reece Foundation. M.K. was supported by Wellcome Trust (102037), Engineering and Physical Sciences Research Council (NS/A000026/1, EP/N031962/1), Medical Research Council (MR/T004347/1), and the Guangci Professorship Program of Ruijin Hospital (Shanghai Jiao Tong Univ.). The
Acknowledgement. This research was partially supported by the DAAD-Tempus PPP Grant 57448965 titled ,,Harmonic Analysis and Extremal Problems'.
Gaal was supported by the National Research, Development and Innovation Office - NKFIH Reg. No.'s K-115383 and K-128972, and also by the Ministry for Innovation and Technology, Hungary throughout Grant TUDFO/47138-1/2019-ITM.
Zsuzsanna Nagy-Csiha was supported by the ´ UNKP-19-3 New National Excellence Program of the Ministry for Innovation and Technology.
Mitsuo Izuki was partially supported by Grand-in-Aid for Scientific Research (C), No.15K04928, for Japan Society for the Promotion of Science. Takahiro Noi was partially supported by Grand-in-Aid for Young Scientists (B), No. 17K14207, for Japan Society for the Promotion of Science. Yoshihiro Sawano was partially supported by Grand-in-Aid for Scientific Research (C), No. 19K03546, for Japan Society for the Promotion of Science. This work was partly supported by Osaka City University Advanced Mathematical Institute (MEXT Joint Usage/Research Center on Mathematics and Theoretical Physics).
AR acknowledges the support from the Analytical Chemistry Trust Fund for her CAMSUK Fellowship and from Imperial College London for her Imperial College Research Fellowship. NF acknowledges support from the Engineering and Physical Sciences Research Council (EP/L015277/1). This work was partly funded by the Austrian Research Promotion Agency (FFG, Project No. 863947). J.M.K. and J.L. acknowledge support from EPRSC under Grant No. EP/R002010/1. This work was carried out with the support of the Diamond Light Source, beamline I09 (proposal SI19885-1). The authors would like to thank Dave McCue, I09 beamline technician, for his support of the experiments. We would like to thank Joseph Woicik and Conan Weiland from the Materials Measurement Science Division at the National Institute of Standards and Technology and Alexander L. Shluger from University College London for fruitful
The work was started while the first author was a Postdoc at the MPI in Bonn and the second author a visiting scientist. We thank the MPI for the ideal working enviroment. We would also like to thank Henning Haar Andersen, Kevin Coulembier, Pavel Etingof, Jens Carsten Jantzen, Thorge Jensen, Hankyung Ko, Catharina Stroppel and Daniel Tubbenhauer for helpful discussions. We would like to thank the referee for a very helpful review. The research of T.H. was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2047/1 - 390685813.
This paper was presented in part at ISIT'15 [1] and Sigmetrics'17 [2]. M. Aktas ¸ and E. Soljanin are at Rutgers University, NJ 08854, USA, emails: mfatihaktas@gmail.com, emina.soljanin@rutgers.edu, S. Kadhe is at UC Berkeley, CA 94720, USA, email: swnanand.kadhe@berkeley.edu, and A. Sprintson is at Texas A&amp;M University, TX 77843, USA. This material is based upon work supported by the NSF under Grant No. CIF-1717314 and CIF-1718658. The work of Alex Sprintson (while serving at NSF) was supported by the NSF. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.
Part of the calculations was performed in the Computing Center of the Slovak Academy of Sciences using the supercomputing infrastructure acquired in project ITMS 26230120002 and 26210120002 (Slovak infrastructure for high-performance computing) supported by the Research &amp; Development Operational Programme funded by the ERDF.
This work was supported by the Slovak Research and Development Agency, contract No. APVV-15-0105, and Slovak Grant Agency VEGA under the contract no. 1/0777/19.
Acknowledgements. EF and NK acknowledge funding from the Independent Research Fund of Denmark. The project was started while NK was at MPI, MIS Leipzig and further developed while NK was at the University of Copenhagen. TdW and OY acknowledge the funding from the DFG grant WO 2206/1-1. Bernd Sturmfels is gratefully acknowledged for useful discussions and for bringing the authors together. Alicia Dickenstein and Carsten Wiuf are thanked for comments on the manuscript.
The authors would like to thank the CMS and HGCAL colleagues for the many suggestions received in the development of this work. The authors would like to thank Vincenzo Innocente for the suggestions and guidance while developing the clustering algorithm. The authors would also like to thank Benjamin Kilian and George Adamov for their helpful discussion during the development of CLUE. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences Energy Frontier Research Centers program under Award Number DE-SP0035530, and the European project with CUP H92H18000110006, within the Innovative research fellowships with industrial characterization in the National Operational Program FSE-ERDF Research and Innovation 2014-2020, Axis I, Action I.1.
The first author was supported by INdAM, more precisely he was 'titolare di una borsa per l'estero dell'Istituto Nazionale di Alta Matematica' and 'titolare di un Assegno di Ricerca dell'Istituto Nazionale di Alta Matematica'. The second author was supported by Spanish Ministerio de Ciencia e Innovacion Project PID2019-104844GB-100.
C.T.M.-M. and J.A.M.-B. thank partial support by VIEP-BUAP (Grant No. MEBJ-EXC18-G), Fondo Institucional PIFCA (Grant No. BUAP-CA169), and CONACyT (Grant No. CB-2013/220624), Mexico. J.M.R. and J.M.S. were supported in part by two grants from Ministerio de Econom´ ıa y Competitividad, Agencia Estatal de Investigaci´ øn (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) (MTM2016-78227-C2-1-P and MTM201790584-REDT), Spain.
† Department of Mathematics, Technion, Haifa 32000, Israel. e-mail: meshulam@technion.ac.il . Supported by ISF grant 686/20.
∗ Einstein Institute of Mathematics, Hebrew University, Jerusalem 91904, Israel, and Efi Arazy School of Computer Science, IDC, Herzliya. e-mail: kalai@math.huji.ac.il . Supported by by ISF grant 1612/17.
A.V., A.B. and J.V. acknowledge funding through FWO project G093417N ('Compressed sensing enabling low dose imaging in transmission electron microscopy') from the Flanders Research Fund. M.N. received support for this work from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 838001. J.V acknowledges funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 823717 - ESTEEM3.
The first author has been supported by Samsung Science Technology Foundation under project number SSTF-BA1301-03 and a KIAS Individual Grant (CG079801) at Korea Institute for Advanced Study. The second author has been supported by Samsung Science Technology Foundation under project number SSTF-BA1301-03, NRF of Korea grants 2018R1D1A1A02085584 and 2021R1A2C1009639, and a KIAS Individual Grant (6G091801) at Korea Institute for Advanced Study.
F.G. acknowledges support from the Deutsche Forschungsgemeinschaft through the Collaborative Research Center 1060. D.O.S. is supported by the EPSRC New Investigator Award 'Sharp Fourier Restriction Theory', grant no. EP/T001364/1. J.P.G.R. acknowledges financial support from the Deutscher Akademischer Austauschdienst. The authors are indebted to the anonymous referees for careful reading and valuable suggestions.
Acknowledgements: PA is partially supported by FAPERJ (Grant # E-26/ 201.609/2018) and CAPES - Brazil. GR is also supported by CAPES - Brazil. MS is supported by the CONACyT-Mexico. This study was financed in part by the Coordena¸ c˜ ao de Aperfei¸ coamento de Pessoal de N´ ıvel Superior - Brazil (CAPES) - Finance Code 001.
This work made use of the data from the Insight-HXMT mission, a project funded by China National Space Administration (CNSA) and the Chinese Academy of Sciences (CAS). The authors thank supports from the National Program on Key Research and Development Project (Grants No. 2016YFA0400802, 2016YFF0200802), the National Natural Science Foundation of China under Grants No. U1838202, U1838201, U1838110, U1838113 and U1838104, and the Strategic Priority Research Program on Space Science, the Chinese Academy of Sciences, Grant No. XDB23040400. The authors are grateful to Dmitry Frederiks and the KW team for providing the KW data and their efforts to perform the joint fitting. We thank Kazutaka Yamaoka for his helpful discussions.
The authors acknowledge the work by the cyclotron and ion-source groups at KVI for delivering a highquality beam used in these measurements. The present work has been performed with financial support from the 'Nederlandse Organisatie voor Wetenschappelijk Onderzoek' (NWO). This work was also partly supported by the Polish National Science Centre under Grant No. 2012/05/B/ST2/02556 and 2016/22/M/ST2/00173. A.D. acknowledges support by the Alexander von Humboldt Foundation under Grant No. LTU-1185721-HFST-E.
´ A.J.-G. and M.I. acknowledge support from the Deutsche Forschungsgemeinschaft (DFG) Quantum Dynamics in Tailored Intense Fields (QUTIF) grant IV 152/6-1. R.E.F.S. acknowledges support from the European Research Council Starting Grant (ERC-2016STG714870). O.S. acknowledges support from the DFG Schwerpunktprogramm 1840 Quantum Dynamics in Tailored Intense Fields project SM 292/5-1, and Molecular Electron Dynamics Investigated by Intense Fields and Attosecond Pulses (MEDEA) project, which has received funding from the European Unions Horizon 2020 research
A.F. and Y.A. thank Stefan Mastel and Andreas Huber (Neaspec co.) and Michael Serge (Andor co.) for many discussions and assistance in the initial development of the TERS/TEPL setup. Funding: A.F., S. K., Y. G. and Y.A. acknowledge support from Air Force Office of Scientific Research (AFOSR) Grant FA9559-16-1-0172. And the National Science Foundation (NSF) CAREER (for Y.A.) Grant No. 1553251. T.Z., E.K., K.F. and M.T. acknowledge support from the AFOSR through grant No. FA9550-18-1-0072 and the NSF-IUCRC Center for Atomically Thin Multifunctional Coatings (ATOMIC). W.S. and L.Y. are supported by the NSF CAREER Grant No. DMR-1455346 and the AFOSR Grant No. FA9550-17-1-0304. The computational resources have been provided by the Stampede of TeraGrid at the Texas Advanced Computing Center (TACC) through XSEDE
Acknowledgments: Pepe Vila's work was done while at Microsoft Research. We would like to thank David Chisnall, Muntaquim Chowdhury, Matthew Fernandez, Cedric Fournet, Carlos Rozas, and Gururaj Saileshwar for feedback and discussions. This work was supported by a grant from Intel Corporation, Atraccion de Talento Investigador grant 2018T2/TIC-11732A, Juan de la Cierva-Formacion grant FJC2018036513-I, Spanish project RTI2018-102043-B-I00 SCUM, and Madrid regional project S2018/TCS-4339 BLOQUES.
The author would like to acknowledge the anonymous reviewers for their revision of the manuscript. The author would like to give special thanks to Wen Mei Hwu from the University of Illinois for interesting ideas in the GPU implementation of the methods, and Nacho Navarro and Rosa Badia from the Barcelona Supercomputing Center (BSC) for his help. This work was partially supported by the national research grant TIN2016-80347-R. In addition, this work was supported by NVIDIA through the Polytechnical University of Catalonia / Barcelona Supercomputing Center (UPC/BSC) GPU Center of Excellence.
We thank Alejandro Cabo, Anamar´ ıa Font, Vishnu Jejjala, Albrecht Klemm, Challenger Mishra and Fernando Quevedo for useful discussions and comments. We thank Miguel Sabido for kind support through the Data Lab at University of Guanajuato. N.C.B. and O.L.B. are supported by the project CIIC 290/2020 UGTO, CONACyT Project A1-S- 37752 and CONACyT Project CB-2015-01-258982 . C.D. is supported by CONACyT through the S.N.I. program, and D.K.M.P. by DAIP Universidad de Guanajuato under project CIIC 344/2019 and by the Simons Foundation Mathematical and Physical Sciences Targeted Grants to Institutes, Award ID:509116. J.A.M.B. thanks the National Council of Science and Technology (CONACyT), Mexico, for his Assistantship No. CVU- 736083.
G.V. is member of the 'National Group for Scientific Computation (GNCS-INDAM)' and acknowledges support by MUR (Ministry of University and Research) PRIN2017 project number 2017KKJP4X.
The authors thank the Deutsche Forschungsgemeinschaft (DFG, German Re- search Foundation) for the financial support through 20021702/GRK2326, 333849990/IRTG-2379, HE5386/15,18-1,19-1,22-1,23-1 and under Germany's Excellence Strategy EXC-2023 Internet of Produc- tion 390621612. The funding through HIDSS-004 is acknowledged.
This work has been initiated during the workshop 'Stochastic dynamics for complex networks and systems' hosted at the University of Mannheim in 2019. The workshop was financially supported by the DAAD exchange project PPP USA 2019 (project-id 57444394).
This work was partially supported by the National Science Foundation under Grant DMS1638521 to the Statistical and Applied Mathematical Sciences Institute and a BBVA Foundation project. Roi Naveiro also acknowledges support of the Spanish Ministry for his grant FPU15-03636. V.G. acknowledges also acknowledges support of the Spanish Ministry for his grant FPU16-05034. David Rios Insua is grateful to the MTM2017-86875-C3-1-R AEI/ FEDER EU project, the AXA-ICMAT Chair in Adversarial Risk Analysis and the EU's Horizon 2020 project 815003 Trustonomy.
Acknowledgments. The authors wish to thank Ti ´ ên-So . n Pha . m for kindly providing us the papers [27, 28] and many fruitful discussions. Feng Guo is supported by the Chinese National Natural Science Foundation under grant 11571350, the Fundamental Research Funds for the Central Universities. Liguo Jiao is supported by Jiangsu Planned Projects for Postdoctoral Research Funds 2019 (no. 2019K151). Do Sang Kim is supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2019R1A2C1008672).
We acknowledge PRACE for awarding us access to Joliot-Curie at GENCI@CEA (Irene), France, through the 'PRACE support to mitigate impact of COVID-19 pandemic' call and the project 'Epitope vaccines based on the dynamics of mutated SARS-CoV-2 proteins at all atom resolution'. We also acknowledge Greece and the European Union (European Social Fund- ESF) for funding through the Operational
This material is based upon work supported by the DARPA Young Faculty Award Program under Grant Number D18AP00070 and the Assistant Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. M.S., T.G., K.R., M.K., and J.H. also acknowledge funding support provided by the DARPA Extreme Optics and Imaging (EXTREME) Program under Agreement No. HR00111720029. The authors acknowledge fabrication facility support by the MIT Microsystems Technology Laboratories and the Harvard University Center for Nanoscale Systems, the latter of which is supported by the National Science Foundation under award No. 0335765.
The project was supported by Award Number R21EB024683 from the National Institute Of Biomedical Imaging And Bioengineering. The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institute Of Biomedical Imaging And Bioengineering or the National Institutes of Health. Y.-H. L. is partially supported by the Ministry of Science and Technology Taiwan, under the Columbus Program: MOST-109-2636-M-009-006, 2020-2025.
This work is supported by NSF (CHE 1800301 and CHE 1836913). Pei-Yun Yang was partially supported by Ministry of Science and Technology overseas project of Taiwan under Grant ID number 107-2917-I-564-011. The key results of this paper were presented at the Banff meeting, August, 2019. We thank Prof. Paul Brumer for the helpful discussions and for the exchange of recent manuscripts.
Gongopadhyay acknowledges support from the DST projects DST/INT/RUS/RSF/P-19 and MTR/2017/000355.
Kozlovskaya acknowledges support by the Russian Science Foundation (project 19-4102005) during the work on Section 3 and by the Ministry of Science and Higher Education of Russia (agreement No. 075-02-2020-1479/1) for the work in Section 4.
D.D.D., S.D. are partially supported by the Academy of Finland (grant 288501 ' Geometry of subRiemannian groups ' and by grant 322898 ' Sub-Riemannian Geometry via Metric-geometry and Lie-group Theory '). G.A., D.D.D., S.D. are partially supported by the European Research Council (ERC Starting Grant 713998 GeoMeG ' Geometry of Metric Groups ').
Z. Heng's research was supported in part by the National Natural Science Foundation of China under grant number 11901049, in part by the the Natural Science Basic Research Program of Shaanxi under grant number 2020JQ-343, and in part by the Young Talent fund of University Association for Science and Technology in Shaanxi, China. C. Ding's research was supported by the Hong Kong Research Grants Council, Proj. No. 16300919.
We thank the GENIE Program and the Janelia Research Campus, specifically V. Jayaraman, R. Kerr, D. Kim, L. Looger, and K. Svoboda, for making GCaMP6 available. This work was funded by the Engineering and Physical Sciences Research Council (grant EP/S005692/1 to A.O.), the Wellcome Trust and the Royal Society (Sir Henry Dale fellowship to N.R.), the Marie Curie Actions of the European Union's FP7 program (MC-CIG 631770 to N.R.), the Simons Initiative for the Developing Brain (to N.R.), the Precision Medicine Doctoral Training Programme (MRC, the University of Edinburgh (to T.A.)).
We thank Mark Jarrell for his comments and suggestions for this project. This work is funded by the NSF Materials Theory grant DMR1728457. This work used the high performance computational resources provided by the Louisiana Optical Network Initiative (http://www.loni.org) and HPC@LSU computing. Additional support (NW and KMT) was provided by the NSFEPSCoR CIMM project under award OIA-154107. Additional support (YZ) at Louisiana State University was provided by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award No. DE-SC0017861.
Acknowledgments . The research of the authors were supported by NSFs of China (No. 11501220, 11971124, 11971182), NSFs of Fujian Province (No. 2016J01020, 2019J0101), Subsidized Project for Postgraduates' Innovative Fund in Science Research of Huaqiao University and the Promotion Program for Young and Middleaged Teachers in Science and Technology Research of Huaqiao University (ZQNPY402).
This work was undertaken as a contribution to the Rapid Assistance in Modelling the Pandemic (RAMP) initiative, coordinated by the Royal Society, and was supported by the
UK Engineering and Physical Sciences Research Council (EPSRC) Grand Challenge grant 'Managing Air for Green Inner Cities' (MAGIC) grant number EP/N010221/1. HCB acknowledges insightful conversations with Dr Marco-Felipe King, and the debugging support of Carolanne Vouriot.
YY acknowledges financial support from the Hitachi Cambridge Laboratory through an iCASE studentship RG97399 (voucher 18000078), and the Engineering and Physics Research Council (EPSRC). CHWB and YY would like to thank Dr Ross Lawther for his guidance in constructing the invariant subspaces for both the CNOT and the SWAP α operations. We also would like to thank A. Lasek, D. Arvidsson-Shukur, H. Lepage and N. Devlin for useful discussions.