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Institution

Korea Institute of Science and Technology Information

FacilityDaejeon, South Korea
About: Korea Institute of Science and Technology Information is a facility organization based out in Daejeon, South Korea. It is known for research contribution in the topics: Gravitational wave & LIGO. The organization has 1152 authors who have published 2319 publications receiving 93849 citations. The organization is also known as: Korea Institute of Science and Technology Information & KISTI.
Topics: Gravitational wave, LIGO, KEKB, Grid, Grid computing


Papers
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Journal ArticleDOI
TL;DR: It is suggested that miR-944, as an intronic miRNA and a direct target of ΔNp63, contributes to the function of Δnp63 in the induction of epidermal differentiation.
Abstract: ΔNp63 is required for both the proliferation and differentiation of keratinocytes, but its role in the differentiation of these cells is poorly understood. The corresponding gene, TP63, harbors the MIR944 sequence within its intron. However, the mechanism of biogenesis and the function of miR-944 are unknown. We found that miR-944 is highly expressed in keratinocytes, in a manner that is concordant with that of ΔNp63 mRNA, but the regulation of miR-944 expression under various conditions did not correspond with that of ΔNp63. Bioinformatics analysis and functional studies demonstrated that MIR944 has its own promoter. We demonstrate here that MIR944 is a target of ΔNp63. Promoter analysis revealed that the activity of the MIR944 promoter was markedly enhanced by the binding of ΔNp63, which was maintained by the supportive action of AP-2 during keratinocyte differentiation. Our results indicated that miR-944 biogenesis is dependent on ΔNp63 protein, even though it is generated from ΔNp63 mRNA-independent transcripts. We also demonstrated that miR-944 induces keratin 1 and keratin 10 expression by inhibiting ERK signaling and upregulating p53 expression. Our findings suggested that miR-944, as an intronic miRNA and a direct target of ΔNp63, contributes to the function of ΔNp63 in the induction of epidermal differentiation.

13 citations

Journal ArticleDOI
TL;DR: In this article, a new one-body door impact beam that was developed to protect an occupant when a car is involved in a side collision was presented, which improved the impact energy absorbability and small door dent to ensure safety inside of the car.
Abstract: This paper presents a new one-body door impact beam that was developed to protect an occupant when a car is involved in a side collision. SPFC1180 Advanced High Strength Steel (AHSS) was used to improve the impact energy absorbability and the small door dent to ensure safety inside of the car. To obtain the proper closed cross section shape of the door impact beam, several designs with the same inside area were considered by conducting a finite element (FE) bending analysis using the ANSYS Mechanical software. FE door modeling was validated with the impact simulation package of the LS-DYNA software, and the results were compared to those from the door module test. The validated door beam model was also subjected to a side collision test of a complete vehicle following the FMVSS 214 regulation using a parallel computing simulation, and a comparison was carried out for the pipe-typed door beam using a virtual structural test applicability. The results indicate that the SPFC1180 one-body door impact beam can exhibit an equivalent reaction force and can decrease manufacturing costs and weight when compared to a pipe typed door beam as a result of the AHSS material, simple manufacturing process, and one-body closed-section shape design.

13 citations

Journal ArticleDOI
TL;DR: To decentralize the skewed data and queries, the data regions are assigned by a time dimension as well as data dimensions in the proposed Time-Parameterized Data-Centric Storage (TPDCS), which extends the lifetime of sensor networks.

13 citations

Journal ArticleDOI
C. Oswald1, Phillip Urquijo1, Jochen Dingfelder1, I. Adachi  +171 moreInstitutions (50)
TL;DR: In this paper, the authors reported a measurement of the inclusive semileptonic B0s branching fraction in a 121 fb¹ data sample collected near the Υ(5S) resonance with the Belle detector at the KEKB asymmetric energy e⁺e⁻ collider.
Abstract: We report a measurement of the inclusive semileptonic B0s branching fraction in a 121 fb⁻¹ data sample collected near the Υ(5S) resonance with the Belle detector at the KEKB asymmetric energy e⁺e⁻ collider. Events containing B⁰(*)sB¯¯¯⁰(*)s pairs are selected by reconstructing a tag side D⁺s and identifying a signal side lepton l⁺ (l=e, μ) that is required to have the same-sign charge to ensure that both originate from different B⁰s mesons. The B⁰s→X⁻l⁺νl branching fraction is extracted from the ratio of the measured yields of D⁺s mesons and D⁺sl⁺ pairs and the known production and branching fractions. The inclusive semileptonic branching fraction is measured to be [10.6±0.5(stat)±0.7(syst)]%.

13 citations

Proceedings ArticleDOI
13 Apr 2011
TL;DR: This paper has developed a client/server-based workflow system called Bioworks, supporting large-scale analysis through the high performance cluster computing resources, and highlights implementation methods in BiOWorks, for meeting key requirements of effective workflow systems for bioinformatics analysis processes.
Abstract: Over the past decade, the rapid development of high-throughput technologies has lead to an explosive growth in biological information. Many molecular biology fields involve in-silico experiments using bioinformatics applications. A workflow can be well-defined model for bioinformatics analysis processes to be performed as a chain of interlinked data process tasks. We have developed a client/server-based workflow system called Bioworks, supporting large-scale analysis through the high performance cluster computing resources. In this paper, we highlight implementation methods in Bioworks, for meeting key requirements of effective workflow systems for bioinformatics analysis processes.

13 citations


Authors

Showing all 1155 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Yang Yang1642704144071
Yongsun Kim1562588145619
Jongmin Lee1502257134772
Teruki Kamon1422034115633
G. Bauer131114783657
Jung-Hyun Kim113119556181
Jin Yong Lee10775755220
U. K. Yang10378254135
Sang Un Ahn8239122067
G. Kang8121050549
Y. D. Oh8055324043
M. K. M. Bader7918252738
H. J. Jang7319432564
Chunglee Kim7115617096
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20223
2021150
2020154
2019141
2018128