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Institution

Kyungpook National University

EducationDaegu, South Korea
About: Kyungpook National University is a education organization based out in Daegu, South Korea. It is known for research contribution in the topics: Population & Catalysis. The organization has 20497 authors who have published 42107 publications receiving 834608 citations.


Papers
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Journal ArticleDOI
F. X. Girod1, R. A. Niyazov2, R. A. Niyazov1, H. Avakian1  +211 moreInstitutions (33)
TL;DR: The beam-spin asymmetries in the hard exclusive electroproduction of photons on the proton were measured over a wide kinematic range and with high statistical accuracy, and can be used to constrain significantly the generalized parton distributions of the nucleon in the valence quark sector.
Abstract: The beam-spin asymmetries in the hard exclusive electroproduction of photons on the proton (e p-->epgamma) were measured over a wide kinematic range and with high statistical accuracy. These asymmetries result from the interference of the Bethe-Heitler process and of deeply virtual Compton scattering. Over the whole kinematic range (x(B) from 0.11 to 0.58, Q2 from 1 to 4.8 GeV2, -t from 0.09 to 1.8 GeV2), the azimuthal dependence of the asymmetries is compatible with expectations from leading-twist dominance, A approximately a sinphi/(1+c cosphi). This extensive set of data can thus be used to constrain significantly the generalized parton distributions of the nucleon in the valence quark sector.

167 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of economic growth on the environment in Korea, for a given level of energy consumption, and fossil fuels and nuclear energy in electricity production, are examined in a dynamic cointegration framework.

167 citations

Journal ArticleDOI
TL;DR: This study has provided strong evidence that circulating exosomal ncRNAs (miRNA‐21 and lncRNA‐ATB) are novel prognostic markers and therapeutic targets for HCC.
Abstract: Exosomal noncoding RNAs (ncRNAs) have unique expression profiles reflecting the characteristics of a tumor, and their role in tumor progression and metastasis is emerging. However, the significance of circulating exosomal ncRNAs in the prognosis of hepatocellular carcinoma (HCC) remains to be elucidated. We therefore determined the prognostic significance of circulating exosomal ncRNAs (miRNA-21 and lncRNA-ATB) for human HCC. This prospective study enrolled 79 HCC patients between October 2014 and September 2015. Exosomes were extracted from serum samples using the ExoQuick Exosome Precipitation Solution. To validate the isolation of the exosomes from serum, immunoblotting for exosome markers and characterization of nanoparticle using NanoSight were performed. NcRNAs were isolated from exosomes using the miRNeasy serum/plasma micro kit. Both circulating exosomal miRNA-21 and lncRNA-ATB were related to TNM stage and other prognostic factors, including the T stage and portal vein thrombosis. Multivariate analysis using the Cox regression test identified that both higher miRNA-21 and higher lncRNA-ATB were independent predictors of mortality and disease progression, along with larger tumor size and higher C-reactive protein (all p < 0.05). The overall survival and progression-free survival were significantly lower in patients with higher circulating levels of exosomal miRNA-21 (≥0.09) and lncRNA-ATB (≥0.0016) (log-rank test: p < 0.05). In conclusion, our study has provided strong evidence that circulating exosomal ncRNAs (miRNA-21 and lncRNA-ATB) are novel prognostic markers and therapeutic targets for HCC.

167 citations

Journal ArticleDOI
Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam, Federico Ambrogi  +2314 moreInstitutions (196)
TL;DR: A statistical combination of several searches for the electroweak production of charginos and neutralinos is presented in this article, where a targeted analysis requiring three or more charged leptons (electrons or muons) is presented, focusing on the challenging scenario in which the difference in mass between the two least massive neutralino is approximately equal to the mass of the Z boson.
Abstract: A statistical combination of several searches for the electroweak production of charginos and neutralinos is presented. All searches use proton-proton collision data at $ \sqrt{s}=13 $ TeV, recorded with the CMS detector at the LHC in 2016 and corresponding to an integrated luminosity of 35.9 fb$^{−1}$. In addition to the combination of previous searches, a targeted analysis requiring three or more charged leptons (electrons or muons) is presented, focusing on the challenging scenario in which the difference in mass between the two least massive neutralinos is approximately equal to the mass of the Z boson. The results are interpreted in simplified models of chargino-neutralino or neutralino pair production. For chargino-neutralino production, in the case when the lightest neutralino is massless, the combination yields an observed (expected) limit at the 95% confidence level on the chargino mass of up to 650 (570) GeV, improving upon the individual analysis limits by up to 40 GeV. If the mass difference between the two least massive neutralinos is approximately equal to the mass of the Z boson in the chargino-neutralino model, the targeted search requiring three or more leptons obtains observed and expected exclusion limits of around 225 GeV on the second neutralino mass and 125 GeV on the lightest neutralino mass, improving the observed limit by about 60 GeV in both masses compared to the previous CMS result. In the neutralino pair production model, the combined observed (expected) exclusion limit on the neutralino mass extends up to 650–750 (550–750) GeV, depending on the branching fraction assumed. This extends the observed exclusion achieved in the individual analyses by up to 200 GeV. The combined result additionally excludes some intermediate gaps in the mass coverage of the individual analyses.

167 citations

Journal ArticleDOI
TL;DR: A stacked ELM architecture in the CNN framework is proposed using an extreme learning machine (ELM) and the backpropagation algorithm is modified to find the targets of hidden layers and effectively learn network weights while maintaining performance.

167 citations


Authors

Showing all 20671 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
David R. Jacobs1651262113892
Yang Yang1642704144071
Yongsun Kim1562588145619
Jongmin Lee1502257134772
Inkyu Park1441767109433
Christopher George Tully1421843111669
Teruki Kamon1422034115633
Manfred Paulini1411791110930
Kazuhiko Hara1411956107697
Luca Lista1402044110645
Dong-Chul Son138137098686
Christoph Paus1371585100801
Frank Filthaut1351684103590
Andreas Warburton135157897496
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202375
2022317
20213,152
20203,071
20192,763
20182,664