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Institution

Konkuk University

EducationSeoul, South Korea
About: Konkuk University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Apoptosis. The organization has 13405 authors who have published 27027 publications receiving 506313 citations.
Topics: Population, Apoptosis, Cancer, Graphene, Cancer cell


Papers
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Journal ArticleDOI
TL;DR: Small to medium rotator cuff Tears should be repaired with the single-row method, and large to massive tears should be repairs with the double-row methods.
Abstract: Background:Although research has demonstrated the superiority of double-row rotator cuff repair over single-row methods from a biological and mechanical point of view, few studies have compared clinical outcome of the 2 methods, and no articles have been published describing the superiority of double-row methods in clinical aspects.Hypothesis:Arthroscopic double-row repair of a rotator cuff tear has superior clinical outcome to single-row repair.Study Design:Cohort study; Level of evidence, 2.Methods:The study included 78 patients operated on for full-thickness rotator cuff tears between May 2002 and May 2004. A single-row fixation method was used in the first consecutive 40 patients, and a double-row fixation method was used in the next consecutive 38 patients. The mean age at surgery was 56 years. At 2 years after surgery, final evaluation was done with American Shoulder and Elbow Surgeons and Constant scoring systems and the Shoulder Strength Index. The Shoulder Strength Index is a new evaluation metho...

194 citations

Journal ArticleDOI
TL;DR: Reconstructed conductivity and current density images from computer simulations and phantom experiments using four recessed electrodes injecting six different currents of 26 mA suggest that in vitro and in vivo experimental studies with animal subjects are feasible.
Abstract: Magnetic resonance electrical impedance tomography (MREIT) is to provide cross-sectional images of the conductivity distribution sigma of a subject. While injecting current into the subject, we measure one component Bz of the induced magnetic flux density B = (Bx, By, Bz) using an MRI scanner. Based on the relation between (inverted delta)2 Bz and inverted delta sigma, the harmonic Bz algorithm reconstructs an image of sigma using the measured Bz data from multiple imaging slices. After we obtain sigma, we can reconstruct images of current density distributions for any given current injection method. Following the description of the harmonic Bz algorithm, this paper presents reconstructed conductivity and current density images from computer simulations and phantom experiments using four recessed electrodes injecting six different currents of 26 mA. For experimental results, we used a three-dimensional saline phantom with two polyacrylamide objects inside. We used our 0.3 T (tesla) experimental MRI scanner to measure the induced Bz. Using the harmonic Bz algorithm, we could reconstruct conductivity and current density images with 82 x 82 pixels. The pixel size was 0.6 x 0.6 mm2. The relative L2 errors of the reconstructed images were between 13.8 and 21.5% when the signal-to-noise ratio (SNR) of the corresponding MR magnitude images was about 30. The results suggest that in vitro and in vivo experimental studies with animal subjects are feasible. Further studies are requested to reduce the amount of injection current down to less than 1 mA for human subjects.

194 citations

Journal ArticleDOI
TL;DR: An understanding of passivation chemistry, and its related mechanisms, is essential not only for effective NZVI application but also for accurately assessing the positive and negative effects of NZVI surface passivation.
Abstract: Nanoscale zerovalent iron (NZVI) is one of the most extensively studied nanomaterials in the fields of wastewater treatment and remediation of soil and groundwater. However, rapid oxidative transfo...

193 citations

Journal ArticleDOI
TL;DR: IL-32 is a cell-associated proinflammatory cytokine, which is specifically stimulated by mycobacteria through a caspase-1- and IL-18-dependent production of IFNγ.
Abstract: BACKGROUND: Interleukin (IL)-32 is a newly described proinflammatory cytokine that seems likely to play a role in inflammation and host defense. Little is known about the regulation of IL-32 production by primary cells of the immune system. METHODS AND FINDINGS: In the present study, freshly obtained human peripheral blood mononuclear cells were stimulated with different Toll-like receptor (TLR) agonists, and gene expression and synthesis of IL-32 was determined. We demonstrate that the TLR4 agonist lipopolysaccharide induces moderate (4-fold) production of IL-32, whereas agonists of TLR2, TLR3, TLR5, or TLR9, each of which strongly induced tumor necrosis factor alpha and IL-6, did not stimulate IL-32 production. However, the greatest amount of IL-32 was induced by the mycobacteria Mycobacterium tuberculosis and M. bovis BCG (20-fold over unstimulated cells). IL-32-induced synthesis by either lipopolysaccharide or mycobacteria remains entirely cell-associated in monocytes; moreover, steady-state mRNA levels are present in unstimulated monocytes without translation into IL-32 protein, similar to other cytokines lacking a signal peptide. IL-32 production induced by M. tuberculosis is dependent on endogenous interferon-gamma (IFNgamma); endogenous IFNgamma is, in turn, dependent on M. tuberculosis-induced IL-18 via caspase-1. CONCLUSIONS: In conclusion, IL-32 is a cell-associated proinflammatory cytokine, which is specifically stimulated by mycobacteria through a caspase-1- and IL-18-dependent production of IFNgamma.

193 citations

Journal ArticleDOI
TL;DR: The use of QSIs to counter diseases in humans as well as plants and animals of economic importance is focused on and the challenges encountered are discussed.

192 citations


Authors

Showing all 13470 results

NameH-indexPapersCitations
Richard A. Flavell2311328205119
Hyun-Chul Kim1764076183227
Jovan Milosevic1521433106802
Jongmin Lee1502257134772
Byung-Sik Hong1461557105696
Ali Khademhosseini14088776430
Suyong Choi135149597053
Tae Jeong Kim132142093959
Maurizio Fava126101270636
Mihee Jo12580668740
Dooyeon Gyun12283667653
Dong Ho Moon11991267053
Sanghyeon Song11955656460
Louis J. Ignarro10633546008
Hans R. Schöler9537441150
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022114
20211,927
20201,932
20191,846
20181,752