Institution
Yonsei University
Education•Seoul, South Korea•
About: Yonsei University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Cancer. The organization has 50162 authors who have published 106172 publications receiving 2279044 citations. The organization is also known as: Yonsei.
Topics: Population, Cancer, Thin film, Breast cancer, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: The yield ratio does not show the suppression observed in central Au+Au collisions at RHIC, but there is a small enhancement in the yield of high momentum particles.
Abstract: Transverse momentum spectra of charged hadrons with p(T)<8 GeV/c and neutral pions with p(T)<10 GeV/c have been measured at midrapidity by the PHENIX experiment at BNL RHIC in d+Au collisions at sqrt[s(NN)]=200 GeV. The measured yields are compared to those in p+p collisions at the same sqrt[s(NN)] scaled up by the number of underlying nucleon-nucleon collisions in d+Au. The yield ratio does not show the suppression observed in central Au+Au collisions at RHIC. Instead, there is a small enhancement in the yield of high momentum particles.
396 citations
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TL;DR: In this paper, the authors present a review of the physical properties of nanoresonator-based molecular detection at the nanoscale, focusing on issues of special relevance to the dynamic behavior of micro/nanoresonators and their applications in biological/chemical detection.
395 citations
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TL;DR: Diagnosis of autoimmune pancreatitis should be diagnosed when criterion I and one of the other two criteria are satisfied, or when histology shows the presence of lymphoplasmacytic sclerosing pancreatitis in the resected pancreas.
Abstract: In 2002, the Japan Pancreas Society (JPS) was the first in the world to propose diagnostic criteria for autoimmune pancreatitis (AIP) Since the concept of AIP has changed with the accumulation of AIP cases, the Research Committee of Intractable Pancreatic Diseases (RCIPD) provided by the Ministry of Health, Labour and Welfare of Japan and the JPS issued revised clinical diagnostic criteria of AIP in 2006 The Asan Medical Center of Korea also proposed diagnostic criteria for AIP in 2006 However, there are subtle but clinically challenging differences between the Japanese and Korean criteria This inconsistency makes it difficult to compare data in studies from different centers and elucidate the characteristics of AIP To reach a consensus on AIP, the RCIPD and the Korean Society of Pancreatobiliary Diseases established the following Asian criteria for the diagnosis of AIP: I-1 Imaging studies of pancreatic parenchyma show a diffuse/segmental/focally enlarged gland, occasionally with a mass and/or a hypoattenuation rim I-2 Imaging studies of pancreaticobiliary ducts show diffuse/segmental/focal pancreatic ductal narrowing, often with stenosis of the bile duct (Both I-1 and I-2 are required for diagnosis) II Elevated level of serum IgG or IgG4, and detection of autoantibodies III Common lymphoplasmacytic infiltration and fibrosis, with abundant IgG4-positive cell infiltration AIP should be diagnosed when criterion I and one of the other two criteria are satisfied, or when histology shows the presence of lymphoplasmacytic sclerosing pancreatitis in the resected pancreas A diagnostic trial of steroid therapy can be applied carefully by expert pancreatologists only in patients fulfilling criterion I alone with negative diagnostic work-up results for pancreatobiliary cancer
395 citations
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TL;DR: In this article, a blockchained federated learning (BlockFL) architecture is proposed, where local learning model updates are exchanged and verified by utilizing a consensus mechanism in blockchain.
Abstract: By leveraging blockchain, this letter proposes a blockchained federated learning (BlockFL) architecture where local learning model updates are exchanged and verified. This enables on-device machine learning without any centralized training data or coordination by utilizing a consensus mechanism in blockchain. Moreover, we analyze an end-to-end latency model of BlockFL and characterize the optimal block generation rate by considering communication, computation, and consensus delays.
394 citations
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TL;DR: The motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the P PG and the motion artifact signals by the combination of independent component analysis and block interleaving with low-pass filtering.
Abstract: Removing the motion artifacts from measured photoplethysmography (PPG) signals is one of the important issues to be tackled for the accurate measurement of arterial oxygen saturation during movement. In this paper, the motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the PPG and the motion artifact signals. The combination of independent component analysis and block interleaving with low-pass filtering can reduce the motion artifacts under the condition of general dual-wavelength measurement. Experiments with synthetic and real data were performed to demonstrate the efficacy of the proposed algorithm.
393 citations
Authors
Showing all 50632 results
Name | H-index | Papers | Citations |
---|---|---|---|
Younan Xia | 216 | 943 | 175757 |
Peer Bork | 206 | 697 | 245427 |
Ralph Weissleder | 184 | 1160 | 142508 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Yongsun Kim | 156 | 2588 | 145619 |
Jongmin Lee | 150 | 2257 | 134772 |
James M. Tiedje | 150 | 688 | 102287 |
Guanrong Chen | 141 | 1652 | 92218 |
Kazunori Kataoka | 138 | 908 | 70412 |
Herbert Y. Meltzer | 137 | 1148 | 81371 |
Peter M. Rothwell | 134 | 779 | 67382 |
Tae Jeong Kim | 132 | 1420 | 93959 |
Shih-Chang Lee | 128 | 787 | 61350 |
Ming-Hsuan Yang | 127 | 635 | 75091 |