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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 & Large Hadron Collider. The organization has 20497 authors who have published 42107 publications receiving 834608 citations.


Papers
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Journal ArticleDOI
TL;DR: Background Prospective nationwide multicentre studies that have evaluated endoscopic findings and reflux symptoms using a well‐designed questionnaire are very rare.
Abstract: Summary Background Prospective nationwide multicentre studies that have evaluated endoscopic findings and reflux symptoms using a well-designed questionnaire are very rare. Aim To compare the prevalence rates of and risk factors for erosive oesophagitis and non-erosive reflux disease (NERD) in the Korean population. Methods A gastroscopic examination was performed on 25 536 subjects who visited 40 Healthcare Centers for a health check-up. A gastro-oesophageal reflux questionnaire and multivariate analysis were used to determine the risk factors for erosive oesophagitis and NERD. Results 2019 (8%) and 996 subjects (4%) had erosive oesophagitis and non-erosive reflux disease, respectively; only 58% of subjects with erosive oesophagitis had reflux symptoms. Multivariate analysis showed that the risk factors for erosive oesophagitis and NERD differed, i.e. those of erosive oesophagitis were male, a Helicobacter pylori eradication history, alcohol, body mass index ≥25 and hiatal hernia. In contrast, the risk factors for NERD were female, age <40 and ≥60 vs. 40–59 years, body mass index <23 and a monthly income <$1000, glucose ≥126 mg/dL, smoking, a stooping posture at work and antibiotic usage. Conclusions The prevalence rates of erosive oesophagitis and NERD were 8% and 4%, respectively, in Korean health check-up subjects. The risk factors for erosive oesophagitis and NERD were found to differ, which indicates that their underlying pathogeneses are distinct.

173 citations

Proceedings ArticleDOI
01 Feb 2020
TL;DR: This paper proposes a holistic deep learning-based activity recognition architecture, a convolutional neural network-long short-term memory network (CNN-LSTM), which improves the predictive accuracy of human activities from raw data but also reduces the complexity of the model while eliminating the need for advanced feature engineering.
Abstract: To understand human behavior and intrinsically anticipate human intentions, research into human activity recognition HAR) using sensors in wearable and handheld devices has intensified. The ability for a system to use as few resources as possible to recognize a user's activity from raw data is what many researchers are striving for. In this paper, we propose a holistic deep learning-based activity recognition architecture, a convolutional neural network-long short-term memory network (CNN-LSTM). This CNN-LSTM approach not only improves the predictive accuracy of human activities from raw data but also reduces the complexity of the model while eliminating the need for advanced feature engineering. The CNN-LSTM network is both spatially and temporally deep. Our proposed model achieves a 99% accuracy on the iSPL dataset, an internal dataset, and a 92 % accuracy on the UCI HAR public dataset. We also compared its performance against other approaches. It competes favorably against other deep neural network (DNN) architectures that have been proposed in the past and against machine learning models that rely on manually engineered feature datasets.

173 citations

Journal ArticleDOI
TL;DR: Results suggest that IGFBP-5 plays a role in the regulation of cellular senescence via a p53-dependent pathway and in aging-associated vascular diseases.
Abstract: The insulin-like growth factor (IGF) signaling pathway plays a crucial role in the regulation of cell growth, differentiation, apoptosis, and aging. IGF-binding proteins (IGFBPs) are important members of the IGF axis. IGFBP-5 is up-regulated during cellular senescence in human dermal fibroblasts and endothelial cells, but the function of IGFBP-5 in cellular senescence is unknown. Here we show that IGFBP-5 plays important roles in the regulation of cellular senescence. Knockdown of IGFBP-5 in old human umbilical endothelial cells (HUVECs) with IGFBP-5 micro-RNA lentivirus caused partial reduction of a variety of senescent phenotypes, such as changes in cell morphology, increases in cell proliferation, and decreases in senescence-associated beta-galactosidase (SA-beta-gal) staining. In addition, treatment with IGFBP-5 protein or up-regulation of IGFBP-5 in young cells accelerates cellular senescence, as confirmed by cell proliferation and SA-beta-gal staining. Premature senescence induced by IGFBP-5 up-regulation in young cells was rescued by knockdown of p53, but not by knockdown of p16. Furthermore, atherosclerotic arteries exhibited strong IGFBP-5-positive staining along intimal plaques. These results suggest that IGFBP-5 plays a role in the regulation of cellular senescence via a p53-dependent pathway and in aging-associated vascular diseases.

173 citations

Journal ArticleDOI
Masahiro Fujikawa1, H. Hayashii1, S. Eidelman2, I. Adachi  +150 moreInstitutions (39)
TL;DR: In this paper, the authors presented a method to solve the PDE problem using the Web of Science Record created on 2010-11-05, modified on 2017-12-10.
Abstract: Reference EPFL-ARTICLE-154420doi:10.1103/PhysRevD.78.072006View record in Web of Science Record created on 2010-11-05, modified on 2017-12-10

173 citations

Journal ArticleDOI
Yuxiang Zhao1, Yingxiao Wang2, Kalyan Allada3, Kalyan Allada4, K. A. Aniol5, J. R. M. Annand6, T. Averett7, Fatiha Benmokhtar8, William Bertozzi3, P. C. Bradshaw7, P. Bosted4, A. Camsonne4, Mustafa Canan9, G. D. Cates10, Chunhui Chen11, J. P. Chen4, W. Chen12, K. Chirapatpimol10, E. Chudakov4, E. Cisbani13, J. C. Cornejo5, F. Cusanno, M. M. Dalton10, Wouter Deconinck3, C. W. de Jager4, R. De Leo14, X. Deng10, A. Deur4, H. Ding10, P. A. M. Dolph10, C. Dutta15, Dipangkar Dutta16, L. El Fassi17, Salvatore Frullani13, Haiyan Gao12, Franco Garibaldi13, D. Gaskell4, Shalev Gilad3, Ronald Gilman17, Ronald Gilman4, O. Glamazdin18, S. Golge9, L. Guo19, David Hamilton6, Olfred Hansen4, Douglas Higinbotham4, T. Holmstrom20, J. Huang19, J. Huang3, J. Huang21, M. Huang12, H. F. Ibrahim22, Mauro Iodice, X. Jiang17, X. Jiang19, G. Jin10, M. K. Jones4, Joseph M. Katich7, A. Kelleher7, W. Kim23, A. Kolarkar15, Wolfgang Korsch15, J. J. LeRose4, X. Li, Y. Li, R. A. Lindgren10, Nilanga Liyanage10, E. Long24, E. Long25, H. J. Lu1, D. J. Margaziotis5, Pete Markowitz26, S. Marrone14, D. McNulty27, Z. E. Meziani28, R. Michaels4, B. Moffit4, B. Moffit3, C. Muñoz Camacho29, S. K. Nanda4, Amrendra Narayan16, Vladimir Nelyubin10, B. E. Norum10, Young Do Oh30, M. Osipenko, Diana Parno31, Jen-Chieh Peng2, S. K. Phillips24, M. Posik28, A. J. R. Puckett3, A. J. R. Puckett19, Xin Qian21, Xin Qian12, Xin Qian32, Yujie Qiang4, Yujie Qiang12, Abdurahim Rakhman33, Ronald Ransome17, S. Riordan10, Arijit Saha4, B. Sawatzky4, B. Sawatzky28, E. Schulte17, A. Shahinyan, M. H. Shabestari10, Simon Širca34, S. S. Stepanyan23, R. Subedi10, Vincent Sulkosky4, Vincent Sulkosky3, L. G. Tang11, A. Tobias10, G. M. Urciuoli, I. Vilardi14, K. Wang10, Bogdan Wojtsekhowski4, X. Yan1, H. Yao28, Y. X. Ye1, Z. Ye11, L. Yuan11, X. Zhan3, Y. Zhang35, Yong Zhang35, B. Zhao7, X. Zheng10, L. Y. Zhu11, L. Y. Zhu2, Xiaofeng Zhu12, X. Zong12 
TL;DR: In this article, the first measurement of target single spin asymmetries in the semi-inclusive ^3He(e,e^′π^±)X reaction on a transversely polarized target was reported.
Abstract: We report the first measurement of target single spin asymmetries in the semi-inclusive ^3He(e,e^′π^±)X reaction on a transversely polarized target The experiment, conducted at Jefferson Lab using a 59 GeV electron beam, covers a range of 016

173 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