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Institution

Chonbuk National University

EducationJeonju, South Korea
About: Chonbuk National University is a education organization based out in Jeonju, South Korea. It is known for research contribution in the topics: Apoptosis & Graphene. The organization has 14820 authors who have published 28884 publications receiving 554131 citations.


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Journal ArticleDOI
01 Jun 2012
TL;DR: This paper proposes a memristor bridge circuit consisting of four identical memristors that is able to perform zero, negative, and positive synaptic weightings together with three additional transistors to perform synaptic operation for neural cells.
Abstract: In this paper, we propose a memristor bridge circuit consisting of four identical memristors that is able to perform zero, negative, and positive synaptic weightings. Together with three additional transistors, the memristor bridge weighting circuit is able to perform synaptic operation for neural cells. It is compact as both weighting and weight programming are performed in a memristor bridge synapse. It is power efficient, since the operation is based on pulsed input signals. Its input terminals are utilized commonly for applying both weight programming and weight processing signals via time sharing. In this paper, features of the memristor bridge synapses are investigated using the TiO memristor model via simulations.

251 citations

Journal ArticleDOI
TL;DR: Aligned carbon nanotubes have been synthesized on transition metal-coated silicon substrates with C2H2 using thermal chemical vapor deposition as mentioned in this paper, and they can be mostly vertically aligned on a large area of plain Si substrates when the density of metal domains reaches a certain value.

250 citations

Journal ArticleDOI
Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam, Federico Ambrogi  +2240 moreInstitutions (157)
TL;DR: In this article, a measurement of the H→ττ signal strength is performed using events recorded in proton-proton collisions by the CMS experiment at the LHC in 2016 at a center-of-mass energy of 13TeV.

250 citations

Journal ArticleDOI
11 Dec 2013-PLOS ONE
TL;DR: This study is the first to demonstrate that the infiltration of PD1 positive lymphocytes and PD-L1 expression in STS cells could be used as novel prognostic indicators for STS.
Abstract: Recently, the possibility of PD1 pathway-targeted therapy has been extensively studied in various human malignant tumors. However, no previous study has investigated their potential application for soft-tissue sarcomas (STS). In this study, we evaluated the clinical impact of intra-tumoral infiltration of PD1-positive lymphocytes and PD-L1 expression in tumor cells in 105 cases of STS. Intra-tumoral infiltration of PD1-positive lymphocytes and PD-L1 expression were seen in 65% and 58% of STS, respectively. Both PD1-positivity and PD-L1 expression were significantly associated with advanced clinicopathological parameters such as higher clinical stage, presence of distant metastasis, higher histological grade, poor differentiation of tumor, and tumor necrosis. Moreover, both PD1-positivity and PD-L1 positivity were independent prognostic indicators of overall survival (OS) and event-free survival (EFS) of STS by multivariate analysis. In addition, the combined pattern of PD1- and PD-L1-positivity was also an independent prognostic indicator for OS and EFS by multivariate analysis. The patents with a PD1+/PD-L1+ pattern had the shortest survival time. In conclusion, this study is the first to demonstrate that the infiltration of PD1 positive lymphocytes and PD-L1 expression in STS cells could be used as novel prognostic indicators for STS. Moreover, the evaluation of PD1- and PD-L1-positivity in STS is also available as possible criteria for selection of patients suitable for PD1-based immunotherapy.

249 citations

Journal ArticleDOI
Juan Antonio Aguilar-Saavedra1, Ahmed Ali, Benjamin C. Allanach2, Richard L. Arnowitt3, Howard Baer4, Jonathan Bagger5, Csaba Balázs6, Vernon Barger7, Michael Barnett8, A. Bartl9, Marco Battaglia8, Philip Bechtle10, Geneviève Bélanger, Alexander Belyaev11, Edmond L. Berger6, G.A. Blair12, Edouard Boos13, Marcela Carena14, S.Y. Choi15, Frank F. Deppisch, A. De Roeck16, Klaus Desch17, Marco Aurelio Diaz18, Abdelhak Djouadi19, Bhaskar Dutta3, S. Dutta10, S. Dutta20, Helmut Eberl21, John Ellis16, Jens Erler22, H. Fraas23, Ayres Freitas24, T. Fritzsche25, Rohini M. Godbole26, G. Gounaris27, Jaume Guasch28, John F. Gunion29, Naoyuki Haba30, Howard E. Haber31, K. Hagiwara, Liyuan Han32, Tao Han7, Hong-Jian He33, Sven Heinemeyer16, S. Hesselbach34, Keisho Hidaka35, I. Hinchliffe8, Martin Hirsch36, K. Hohenwarter-Sodek9, Wolfgang Hollik25, W. S. Hou37, Tobias Hurth16, Tobias Hurth10, I. Jack38, Yi Jiang32, D.R.T. Jones38, J. Kalinowski39, T. Kamon3, Gordon L. Kane40, Sin Kyu Kang41, Thomas Kernreiter9, Wolfgang Kilian, Choong Sun Kim42, Stephen F. King43, O. Kittel44, Michael Klasen, J. L. Kneur45, K. Kovarik21, Michael Kramer46, Sabine Kraml16, Remi Lafaye47, Paul Langacker48, Heather E. Logan49, W. G. Ma32, W. Majerotto21, H. U. Martyn46, Konstantin Matchev50, David J. Miller51, Myriam Mondragón22, Gudrid Moortgat-Pick16, Stefano Moretti43, Takehiko Mori52, Gilbert Moultaka45, Steve Muanza53, M. M. Mühlleitner, Biswarup Mukhopadhyaya54, U. Nauenberg55, Mihoko M. Nojiri56, D. Nomura11, H. Nowak, N. Okada, Keith A. Olive57, W. Oller21, Michael E. Peskin10, Tilman Plehn25, Giacomo Polesello, Werner Porod36, Werner Porod24, Fernando Quevedo2, David L. Rainwater58, Jürgen Reuter, Peter J. Richardson59, Krzysztof Rolbiecki39, Probir Roy60, Reinhold Rückl23, Heidi Rzehak61, P. Schleper62, Kim Siyeon63, Peter Skands14, P. Slavich, Dominik Stöckinger59, Paraskevas Sphicas16, Michael Spira61, Tim M. P. Tait6, Daniel Tovey64, José W. F. Valle36, Carlos E. M. Wagner6, Carlos E. M. Wagner65, Ch. Weber21, Georg Weiglein59, Peter Wienemann17, Z.-Z. Xing, Y. Yamada66, Jin Min Yang, D. Zerwas19, P.M. Zerwas, Ren-You Zhang32, X. Zhang, S.-H. Zhu67 
University of Lisbon1, University of Cambridge2, Texas A&M University3, Florida State University4, Johns Hopkins University5, Argonne National Laboratory6, University of Wisconsin-Madison7, Lawrence Berkeley National Laboratory8, University of Vienna9, Stanford University10, Michigan State University11, Royal Holloway, University of London12, Moscow State University13, Fermilab14, Chonbuk National University15, CERN16, University of Freiburg17, Pontifical Catholic University of Chile18, University of Paris19, University of Delhi20, Austrian Academy of Sciences21, National Autonomous University of Mexico22, University of Würzburg23, University of Zurich24, Max Planck Society25, Indian Institute of Science26, Aristotle University of Thessaloniki27, University of Barcelona28, University of California, Davis29, University of Tokushima30, University of California, Santa Cruz31, University of Science and Technology of China32, Tsinghua University33, Uppsala University34, Tokyo Gakugei University35, Spanish National Research Council36, National Taiwan University37, University of Liverpool38, University of Warsaw39, University of Michigan40, Seoul National University41, Yonsei University42, University of Southampton43, University of Bonn44, University of Montpellier45, RWTH Aachen University46, Laboratoire d'Annecy-le-Vieux de physique des particules47, University of Pennsylvania48, Carleton University49, University of Florida50, University of Glasgow51, University of Tokyo52, University of Lyon53, Harish-Chandra Research Institute54, University of Colorado Boulder55, Kyoto University56, University of Minnesota57, University of Rochester58, Durham University59, Tata Institute of Fundamental Research60, Paul Scherrer Institute61, University of Hamburg62, Chung-Ang University63, University of Sheffield64, University of Chicago65, Tohoku University66, Peking University67
TL;DR: In this article, a supersymmetry Parameter Analysis SPA (SPA) scheme is proposed based on a consistent set of conventions and input parameters, which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e+e-linear collider experiments.
Abstract: High-precision analyses of supersymmetry parameters aim at reconstructing the fundamental supersymmetric theory and its breaking mechanism. A well defined theoretical framework is needed when higher-order corrections are included. We propose such a scheme, Supersymmetry Parameter Analysis SPA, based on a consistent set of conventions and input parameters. A repository for computer programs is provided which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e+e- linear collider experiments, i.e., masses, mixings, decay widths and production cross sections for supersymmetric particles. In addition, programs for calculating high-precision low energy observables, the density of cold dark matter (CDM) in the universe as well as the cross sections for CDM search experiments are included. The SPA scheme still requires extended efforts on both the theoretical and experimental side before data can be evaluated in the future at the level of the desired precision. We take here an initial step of testing the SPA scheme by applying the techniques involved to a specific supersymmetry reference point.

249 citations


Authors

Showing all 14943 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Andrew Ivanov142181297390
Dong-Chul Son138137098686
C. Haber135150798014
Tae Jeong Kim132142093959
Alessandro Cerri1291244103225
Paul M. Vanhoutte12786862177
Jason Nielsen12589372688
Chi Lin1251313102710
Paul Lujan123125576799
Young Hee Lee122116861107
Min Suk Kim11997566214
Alexandre Sakharov11958256771
Yang-Kook Sun11778158912
Rui L. Reis115160863223
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202366
2022203
20212,069
20201,883
20191,798
20181,893