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Institution

Korea University

EducationSeoul, South Korea
About: Korea University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Thin film. The organization has 39756 authors who have published 82424 publications receiving 1860927 citations. The organization is also known as: Bosung College & Bosung Professional College.


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Journal ArticleDOI
TL;DR: In this article, a three-dimensional mesh-free method for arbitrary crack initiation and propagation is proposed to ensure crack path continuity for non-linear material models and cohesive laws based on a local partition of unity.
Abstract: This paper proposes a three-dimensional meshfree method for arbitrary crack initiation and propagation that ensures crack path continuity for non-linear material models and cohesive laws. The method is based on a local partition of unity. An extrinsic enrichment of the meshfree shape functions is used with discontinuous and near-front branch functions to close the crack front and improve accuracy. The crack is hereby modeled as a jump in the displacement field. The initiation and propagation of a crack is determined by the loss of hyperbolicity or the loss of material stability criterion. The method is applied to several static, quasi-static and dynamic crack problems. The numerical results very precisely replicate available experimental and analytical results.

331 citations

Journal ArticleDOI
TL;DR: Hsp72 antisense oligonucleotides blocked Hsp72 production in NIH 3T3 cells in response to mild heatshock and concomitantly abolished the suppressive effect of mild heat shock on UV‐induced JNK activation and apoptosis.
Abstract: Hsp72, a major inducible member of the heat shock protein family, can protect cells against many cellular stresses including heat shock. In our present study, we observed that pretreatment of NIH 3T3 cells with mild heat shock (43°C for 20 min) suppressed UV-stimulated c-Jun N-terminal kinase 1 (JNK1) activity. Constitutively overexpressed Hsp72 also inhibited JNK1 activation in NIH 3T3 cells, whereas it did not affect either SEK1 or MEKK1 activity. Both in vitro binding and kinase studies indicated that Hsp72 bound to JNK1 and that the peptide binding domain of Hsp72 was important to the binding and inhibition of JNK1. In vivo binding between endogenous Hsp72 and JNK1 in NIH 3T3 cells was confirmed by co-immunoprecipitation. Hsp72 also inhibited JNK-dependent apoptosis. Hsp72 antisense oligonucleotides blocked Hsp72 production in NIH 3T3 cells in response to mild heat shock and concomitantly abolished the suppressive effect of mild heat shock on UV-induced JNK activation and apoptosis. Collectively, our data suggest strongly that Hsp72 can modulate stress-activated signaling by directly inhibiting JNK.

330 citations

Journal ArticleDOI
TL;DR: It is suggested that Aspergillus fumigatus secondary metabolite gene clusters constitute evolutionarily diverse regions that may be important for niche adaptation and virulence attributes and that LaeA is a novel target for comprehensive modification of chemical diversity and pathogenicity.
Abstract: Secondary metabolites, including toxins and melanins, have been implicated as virulence attributes in invasive aspergillosis. Although not definitively proved, this supposition is supported by the decreased virulence of an Aspergillus fumigatus strain, ΔlaeA, that is crippled in the production of numerous secondary metabolites. However, loss of a single LaeA-regulated toxin, gliotoxin, did not recapitulate the hypovirulent ΔlaeA pathotype, thus implicating other toxins whose production is governed by LaeA. Toward this end, a whole-genome comparison of the transcriptional profile of wild-type, ΔlaeA, and complemented control strains showed that genes in 13 of 22 secondary metabolite gene clusters, including several A. fumigatus–specific mycotoxin clusters, were expressed at significantly lower levels in the ΔlaeA mutant. LaeA influences the expression of at least 9.5% of the genome (943 of 9,626 genes in A. fumigatus) but positively controls expression of 20% to 40% of major classes of secondary metabolite biosynthesis genes such as nonribosomal peptide synthetases (NRPSs), polyketide synthases, and P450 monooxygenases. Tight regulation of NRPS-encoding genes was highlighted by quantitative real-time reverse-transcription PCR analysis. In addition, expression of a putative siderophore biosynthesis NRPS (NRPS2/sidE) was greatly reduced in the ΔlaeA mutant in comparison to controls under inducing iron-deficient conditions. Comparative genomic analysis showed that A. fumigatus secondary metabolite gene clusters constitute evolutionarily diverse regions that may be important for niche adaptation and virulence attributes. Our findings suggest that LaeA is a novel target for comprehensive modification of chemical diversity and pathogenicity.

330 citations

Journal ArticleDOI
TL;DR: Performance of the proposed scheme is shown to be better than the original difference expansion scheme by Tian and its improved version by Kamstra and Heijmans and can be possible by exploiting the quasi-Laplace distribution of the difference values.
Abstract: Reversible data embedding theory has marked a new epoch for data hiding and information security. Being reversible, the original data and the embedded data should be completely restored. Difference expansion transform is a remarkable breakthrough in reversible data-hiding schemes. The difference expansion method achieves high embedding capacity and keeps distortion low. This paper shows that the difference expansion method with the simplified location map and new expandability can achieve more embedding capacity while keeping the distortion at the same level as the original expansion method. Performance of the proposed scheme in this paper is shown to be better than the original difference expansion scheme by Tian and its improved version by Kamstra and Heijmans. This improvement can be possible by exploiting the quasi-Laplace distribution of the difference values.

330 citations

Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate the feasibility of thin-wall assembled metal oxide-based breath sensors for the accurate diagnosis of diabetes and potential detection of lung cancer, which are markers used for the diagnosis of Diabetes and lung cancer.
Abstract: Hierarchical SnO 2 fi bers assembled from wrinkled thin tubes are synthesized by controlling the microphase separation between tin precursors and polymers, by varying fl ow rates during electrospinning and a subsequent heat treatment The inner and outer SnO 2 tubes have a number of elongated open pores ranging from 10 nm to 500 nm in length along the fi ber direction, enabling fast transport of gas molecules to the entire thin-walled sensing layers These features admit exhaled gases such as acetone and toluene, which are markers used for the diagnosis of diabetes and lung cancer The open tubular structures facilitated the uniform coating of catalytic Pt nanoparticles onto the inner SnO 2 layers Highly porous SnO 2 fi bers synthesized at a high fl ow rate show fi ve-fold higher acetone responses than densely packed SnO 2 fi bers synthesized at a low fl ow rate Interestingly, thin-wall assembled SnO 2 fi bers functionalized by Pt particles exhibit a dramatically shortened gas response time compared to that of un-doped SnO 2 fi bers, even at low acetone concentrations Moreover, Pt-decorated SnO 2 fi bers signifi cantly enhance toluene response These results demonstrate the novel and practical feasibility of thin-wall assembled metal oxide based breath sensors for the accurate diagnosis of diabetes and potential detection of lung cancer

329 citations


Authors

Showing all 40083 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Hyun-Chul Kim1764076183227
Yongsun Kim1562588145619
Jongmin Lee1502257134772
Byung-Sik Hong1461557105696
Daniel S. Berman141136386136
Christof Koch141712105221
David Y. Graham138104780886
Suyong Choi135149597053
Rudolph E. Tanzi13563885376
Sung Keun Park133156796933
Tae Jeong Kim132142093959
Robert S. Brown130124365822
Mohammad Khaja Nazeeruddin12964685630
Klaus-Robert Müller12976479391
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023121
2022611
20216,359
20206,208
20195,608
20185,088