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1. Additional file 5 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 5. Supplementary fig 5

Published
2022
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2. Additional file 2 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 2. Supplementary fig 2

Published
2022
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3. Additional file 10 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 10. Supplementary table 3

Published
2022
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4. Additional file 3 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 3. Supplementary fig 3

Published
2022
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5. Additional file 7 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 7. Supplementary fig 7

Published
2022
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6. Additional file 1 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 1. Supplementary fig 1

Published
2022
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7. Additional file 6 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 6. Supplementary fig 6

Published
2022
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8. Additional file 14 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 14. Supplementary table 7

Published
2022
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9. Additional file 11 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 11. Supplementary table 4

Published
2022
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10. Additional file 15 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 15. Supplementary table 8

Published
2022
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11. Additional file 4 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 4. Supplementary fig 4

Published
2022
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12. Additional file 9 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 9. Supplementary table 2

Published
2022
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13. Additional file 13 of 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson’s disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R., Pugh, Derian A., Liu, Yiyuan, Patel, Tulsi, Renton, Alan E., Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, Bertelsen, Sarah, Cherry, Jonathan D., Karch, Celeste M., Frucht, Steven J., Kopell, Brian H., Peter, Inga, Park, Y. J., Charney, Alexander, Raj, Towfique, Crary, John F., and Goate, A. M.

Abstract

Additional file 13. Supplementary table 6

Published
2022
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14. 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinson's disease are associated with LRRC37A/2 expression in astrocytes

Author

Bowles, Kathryn R, Pugh, Derian A, Cherry, Jonathan D, Karch, Celeste M, Frucht, Steven J, Kopell, Brian H, Peter, Inga, Park, Y. J., Consortium, International Parkinson’s Disease Genomics, Charney, Alexander, Raj, Towfique, Crary, John F, Liu, Yiyuan, Goate, A. M., Patel, Tulsi, Renton, Alan E, Bandres-Ciga, Sara, Gan-Or, Ziv, Heutink, Peter, Siitonen, Ari, and Bertelsen, Sarah

Subjects
DNA Copy Number Variations, genetics [DNA Copy Number Variations], Copy number variation, LRRC37A, 17q21.31, Parkinson Disease, tau Proteins, Polymorphism, Single Nucleotide, pathology [Parkinson Disease], genetics [tau Proteins], Haplotypes, genetics [Parkinson Disease], ddc:570, Astrocytes, genetics [alpha-Synuclein], Parkinson’s disease, alpha-Synuclein, Humans, Genetic Predisposition to Disease, pathology [Astrocytes]
Abstract

Parkinson's disease (PD) is genetically associated with the H1 haplotype of the MAPT 17q.21.31 locus, although the causal gene and variants underlying this association have not been identified.To better understand the genetic contribution of this region to PD and to identify novel mechanisms conferring risk for the disease, we fine-mapped the 17q21.31 locus by constructing discrete haplotype blocks from genetic data. We used digital PCR to assess copy number variation associated with PD-associated blocks, and used human brain postmortem RNA-seq data to identify candidate genes that were then further investigated using in vitro models and human brain tissue.We identified three novel H1 sub-haplotype blocks across the 17q21.31 locus associated with PD risk. Protective sub-haplotypes were associated with increased LRRC37A/2 copy number and expression in human brain tissue. We found that LRRC37A/2 is a membrane-associated protein that plays a role in cellular migration, chemotaxis and astroglial inflammation. In human substantia nigra, LRRC37A/2 was primarily expressed in astrocytes, interacted directly with soluble α-synuclein, and co-localized with Lewy bodies in PD brain tissue.These data indicate that a novel candidate gene, LRRC37A/2, contributes to the association between the 17q21.31 locus and PD via its interaction with α-synuclein and its effects on astrocytic function and inflammatory response. These data are the first to associate the genetic association at the 17q21.31 locus with PD pathology, and highlight the importance of variation at the 17q21.31 locus in the regulation of multiple genes other than MAPT and KANSL1, as well as its relevance to non-neuronal cell types.

Published
2021

15. Germline mutations of the STK11 gene in Korean Peutz–Jeghers syndrome patients

Author

Yoon, K-A, Ku, J-L, Choi, H S, Heo, S C, Jeong, S-Y, Park, Y J, Kim, N K, Kim, J C, Jung, P M, and Park, J-G

Subjects
Adult, Male, congenital, hereditary, and neonatal diseases and abnormalities, DNA Mutational Analysis, Mutation, Missense, Peutz-Jeghers Syndrome, Protein Serine-Threonine Kinases, Polymerase Chain Reaction, AMP-Activated Protein Kinase Kinases, Asian People, Humans, Age of Onset, skin and connective tissue diseases, Codon, Frameshift Mutation, Germ-Line Mutation, Polymorphism, Single-Stranded Conformational, Korea, Base Sequence, STK11, Peutz–Jeghers syndrome, Regular Article, Exons, Middle Aged, germline mutation, Female
Abstract

Peutz–Jeghers syndrome (PJS) is an autosomal dominantly inherited disease characterized by hamartomatous gastrointestinal polyps and mucocutaneous pigmentation, with an increased risk for various neoplasms, including gastrointestinal cancer. Recently, the PJS gene encoding the serine/threonine kinase STK11 (also named LKB1) was mapped to chromosome 19p13.3, and germline mutations were identified in PJS patients. We screened a total of ten Korean PJS patients (nine sporadic cases and one familial case including two patients) to investigate the germline mutations of the STK11 gene. By polymerase chain reaction–single-strand conformation polymorphism and DNA sequencing analysis, three kinds of mis-sense mutation and a frame-shift mutation were identified: codon 232 (TCC to CCC) in exon 5, codon 256 (GAA to GCA) in exon 6, codon 324 (CCG to CTG) in exon 8, and a guanine insertion at codon 342 resulting in a premature stop codon in exon 8. These mis-sense variants were not detected in 100 control DNA samples. Furthermore, we found an intronic mutation at the dinucleotide sequence of a splice-acceptor site: a one base substitution from AG to CG in intron 1, which may cause aberrant splicing. Most reported germline mutations of the STK11 gene in PJS patients were frame-shift or non-sense mutations resulting in truncated proteins. Together, these findings indicate that germline mis-sense mutations of the STK11 gene are found in PJS patients in addition to truncating mutations. The effects of these mutations on protein function require further examination. In summary, we found germline mutations of the STK11 gene in five out of ten Korean PJS patients. © 2000 Cancer Research Campaign

Published
2000

16. On the biases affecting water ages inferred from isotopic data

Author

Cornaton, F. J., Park, Y. -J., and Deleersnijder, E.

Subjects
Physics - Geophysics, FOS: Physical sciences, A.0, Geophysics (physics.geo-ph)
Abstract

Groundwater age has become a fundamental concept in groundwater hydrology, but ages originating from isotopic analyses are still identified with a lack of clarity and using models that occasionally are unrealistic. If the effect of advection and dispersion on water ages has already been extensively identified, very few studies address the reliability of using radiometric ages as derived from isotopic data to estimate aquifer properties such as average velocities. Using simple one-dimensional and two-dimensional analytical solutions for single-site and two-sites mobile-immobile systems, we compare the radiometric ages to the mean ages (or residence times) as deduced from a direct, physically-based simulation approach (using the mean age equation), and show that the competition between isotope decay rate and dispersion coefficient can generate important discrepancies between the two types of ages. A correction for the average apparent velocity originating from apparent isotopic ages is additionally provided. The particular case of the Tritium age dating method is also addressed, and a numerical example is finally given for illustrating the analysis considering a more complex and heterogeneous aquifer system. Our results suggest that age definitions based on the radioactivity of isotopes may not be representative for the mean age of the sample or for the groundwater velocity at given locations, and may not always be suitable for constraining the calibration of hydrogeological models., 20 pages, 7 figures; Journal of Hydrology, 2011

Published
2011

17. Correlation between glaze-colors and structural properties of the HIZEN celadons produced in the Edo period of Japan, by means of X-ray diffraction (І)

Author

Hidaka,M., Ohashi,K., Wijesundera,R. P., Kumara,L. S. R., Watanabe,M., Koga,K., Choi,Jae-Young, Sung,N. E., and Park,Y. J.

Subjects
microstructure, celadon glaze, HIZEN celadons
Abstract

HIZEN celadons produced at Arita and Imari areas in Japan from 1630's to 1790's (Edo period) have been investigated by means of X-ray fluorescence analysis, and X-ray diffraction and X-ray absorption spectra using synchrotron radiation. It is found that, in the HIZEN celadons, the color brightness of the celadon glazes depends on the structural property of the raw basic ceramics taken at Imaizumi (Arita) and Ohkwachi (Imari), where the former is mainly Quartz-SiO2, and the later is Sanidine ((K,Na)Si3O8). It is confirmed that CaCO3 of natural wood ash added artificially into the raw celadon ceramics makes a glassy glaze on the surface of the basic body of the HIZEN celadons. Transition-metal ions (Cr, Cu, Zn) of very small amount are detected in the celadon glazes, in addition to Fe and Mn of small amount. It is considered that Cu and Cr are related to the color brightness of green-brown and blue-green in the HIZEN celadon glazes, respectively.

Published
2011

18. Correlation between glaze-colors and structural properties of the HIZEN celadons produced in the Edo period of Japan, by means of X-ray diffraction (І)

Author

Hidaka, M., Ohashi, K., Wijesundera, R. P., Kumara, L. S. R., Watanabe, M., Koga, K., Choi, Jae-Young, Sung, N. E., and Park, Y. J.

Subjects
esmalte de celadon, microestrutura, microstructure, celadon glaze, celadons Hizen, HIZEN celadons
Abstract

HIZEN celadons produced at Arita and Imari areas in Japan from 1630's to 1790's (Edo period) have been investigated by means of X-ray fluorescence analysis, and X-ray diffraction and X-ray absorption spectra using synchrotron radiation. It is found that, in the HIZEN celadons, the color brightness of the celadon glazes depends on the structural property of the raw basic ceramics taken at Imaizumi (Arita) and Ohkwachi (Imari), where the former is mainly Quartz-SiO2, and the later is Sanidine ((K,Na)Si3O8). It is confirmed that CaCO3 of natural wood ash added artificially into the raw celadon ceramics makes a glassy glaze on the surface of the basic body of the HIZEN celadons. Transition-metal ions (Cr, Cu, Zn) of very small amount are detected in the celadon glazes, in addition to Fe and Mn of small amount. It is considered that Cu and Cr are related to the color brightness of green-brown and blue-green in the HIZEN celadon glazes, respectively. Celadons Hizen produzidos nas áreas de Arita e Imari no Japão nos anos de 1630 a 1790 (período Edo) foram investigados por meio de análise de fluorescência de raios X, difração de raios X e espectros de absorção usando radiação síncrotron. Foi descoberto que nos celadons Hizen o brilho na coloração dos esmaltes celadon depende da propriedade estrutural da matéria-prima cerâmica extraída em Imaizumi (Arita) e Ohkwachi (Imari), onde a primeira é principalmente quartzo-SiO2, e a última é um feldspato ((K,Na) Si3O8). Foi confirmado que CaCO3 da cinza da madeira natural adicionada artificialmente na matéria-prima cerâmica celadon produz um esmalte vítreo na superfície do corpo básico dos celadons Hizen. Uma quantidade muito pequena de íons de metal de transição (Cr, Cu, Zn) foi detectada nos esmaltes de celadons, alem de pequeno teor de Fe e Mn. Considera-se que Cu e Cr estão relacionados com o brilho na coloração verde-marron e azul-verde nos esmaltes do celadon Hizen, respectivamente.

Published
2011

19. Use of groundwater lifetime expectancy for the performance assessment of a deep geologic waste repository: 1. Theory, illustrations, and implications

Author

Cornaton, F. J., Park, Y. -J., Normani, S. D., Sudicky, E. A., and Sykes, J. F.

Subjects
Physics - Geophysics, FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics, A.0, Geophysics (physics.geo-ph)
Abstract

Long-term solutions for the disposal of toxic wastes usually involve isolation of the wastes in a deep subsurface geologic environment. In the case of spent nuclear fuel, if radionuclide leakage occurs from the engineered barrier, the geological medium represents the ultimate barrier that is relied upon to ensure safety. Consequently, an evaluation of radionuclide travel times from a repository to the biosphere is critically important in a performance assessment analysis. In this study, we develop a travel time framework based on the concept of groundwater lifetime expectancy as a safety indicator. Lifetime expectancy characterizes the time that radionuclides will spend in the subsurface after their release from the repository and prior to discharging into the biosphere. The probability density function of lifetime expectancy is computed throughout the host rock by solving the backward-in-time solute transport adjoint equation subject to a properly posed set of boundary conditions. It can then be used to define optimal repository locations. The risk associated with selected sites can be evaluated by simulating an appropriate contaminant release history. The utility of the method is illustrated by means of analytical and numerical examples, which focus on the effect of fracture networks on the uncertainty of evaluated lifetime expectancy., Comment: 11 pages, 8 figures; Water Resources Research, Vol. 44, 2008

Published
2011
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20. Use of groundwater lifetime expectancy for the performance assessment of a deep geologic radioactive waste repository:2. Application to a Canadian Shield environment

Author

Park, Y. -J., Cornaton, F. J., Normani, S. D., Sykes, J. F., and Sudicky, E. A.

Subjects
Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Physics - Fluid Dynamics, A.0
Abstract

Cornaton et al. [2007] introduced the concept of lifetime expectancy as a performance measure of the safety of subsurface repositories, based upon the travel time for contaminants released at a certain point in the subsurface to reach the biosphere or compliance area. The methodologies are applied to a hypothetical but realistic Canadian Shield crystalline rock environment, which is considered to be one of the most geologically stable areas on Earth. In an approximately 10\times10\times1.5 km3 hypothetical study area, up to 1000 major and intermediate fracture zones are generated from surface lineament analyses and subsurface surveys. In the study area, mean and probability density of lifetime expectancy are analyzed with realistic geologic and hydrologic shield settings in order to demonstrate the applicability of the theory and the numerical model for optimally locating a deep subsurface repository for the safe storage of spent nuclear fuel. The results demonstrate that, in general, groundwater lifetime expectancy increases with depth and it is greatest inside major matrix blocks. Various sources and aspects of uncertainty are considered, specifically geometric and hydraulic parameters of permeable fracture zones. Sensitivity analyses indicate that the existence and location of permeable fracture zones and the relationship between fracture zone permeability and depth from ground surface are the most significant factors for lifetime expectancy distribution in such a crystalline rock environment. As a consequence, it is successfully demonstrated that the concept of lifetime expectancy can be applied to siting and performance assessment studies for deep geologic repositories in crystalline fractured rock settings., Comment: 14 pages, 14 figures; Water Resources Research, Vol. 44, 2008

Published
2011
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21. Analysis of genetic relationships of mulberry (Morus L.) germplasm using sequence-related amplified polymorphism (SRAP) markers

Author

Zhao, W., Fang, R., Pan, Y., Yang, Y., Chung, J. -W, Chung, I. -M, and Park, Y. -J

Subjects
Mulberry, molecular marker, genetic diversity, SRAP
Abstract

Sequence-related amplified polymorphism (SRAP) is a novel molecular marker technique designed to amplify open reading frames (ORFs). Here, for the first time, SRAP was used to identify mulberry germplasm. Twenty-three mulberry accessions were screened using SRAP techniques, with 12 primer combinations selected for their reproducibility and polymorphism. Out of 83 PCR fragments scored, 59 (71.1%) were polymorphic, with an average of 4.9 polymorphic bands and 6.9 bands per primer combination. Mean gene diversity and PIC were 0.1611 and 0.1353, respectively. The genetic similarity coefficient ranged from 0.6905 to 0.9524, with an average of 0.8330. The phylogenetic tree was obtained using the UPGMA method using the total number of amplified SRAP fragments. The results from cluster analysis were in general agreement with our morphologic classification.

Published
2010

22. ATF2 COMMISSIONING

Author

Seryi, A, Christian, G, Parker, B, Schulte, D, Delahaye, J P, Tomas, R, Zimmermann, F, Wolski, A, Elsen, E, Sanuki, T, Gianfelice-Wendt, E, Ross, M, Wendt, M, Takahashi, T, Bai, S, Gao, J, Bolzon, B, Geffroy, N, Jeremie, A, Apsimon, R, Burrows, P, Constance, B, Perry, C, Resta-Lopez, J, Swinson, C, Araki, S, Aryshev, A, Hayano, H, Honda, Y, Kubo, K, Kume, T, Kuroda, S, Masuzawa, M, Naito, T, Okugi, T, Sugahara, R, Tauchi, T, Terunuma, N, Urakawa, J, Yokoya, K, Iwashita, Y, Sugimoto, T, Heo, A Y, Kim, E S, Kim, H S, Bambade, P, Renier, Y, Rimbault, C, Huang, J Y, Kim, S H, Park, Y J, Hwang, W H, Blair, G, Boogert, S, Karataev, P, Molloy, S, Amann, J, Bellomo, P, Lam, B, McCormick, D, Nelson, J, Paterson, E, Pivi, M, Raubenheimer, T, Spencer, C, Wang, M H, White, G, Wittmer, W, Woodley, M, Yan, Y, Zhou, F, Angal-Kalinin, D, Jones, J, Lyapin, A, Scarfe, A, Kamiya, Y, Komamiya, S, Oroku, M, Suehara, T, and Yamanaka, T

Subjects
Technology for normal conducting higher energy linear accelerators [9], Accelerators and Storage Rings
Abstract

ATF2 is a final-focus test beam line that aims to focus the low-emittance beam from the ATF damping ring to a beam size of about 37 nm, and at the same time to demonstrate nm beam stability, using numerous advanced beam diagnostics and feedback tools. The construction has been finished at the end of 2008 and the beam commissioning of ATF2 has started in December of 2008. ATF2 is constructed and commissioned by ATF international collaborations with strong US, Asian and European participation.

Published
2010

23. Non-resonant and Resonant X-ray Scattering Studies on Multiferroic TbMn2O5

Author

Koo, J., Song, C., Ji, S., Lee, J. -S., Park, J., Jang, T. -H., Yang, C. -H., Park, J. -H., Jeong, Y. H., Lee, K. -B., Koo, T. Y., Park, Y. J., Kim, J. -Y., Wemeille, D., Goldman, A. I., Srajer, G., Park, S., and Cheong, S. -W.

Subjects
Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Materials Science, Strongly Correlated Electrons (cond-mat.str-el), Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences
Abstract

Comprehensive x-ray scattering studies, including resonant scattering at Mn L-edge, Tb L- and M-edges, were performed on single crystals of TbMn2O5. X-ray intensities were observed at a forbidden Bragg position in the ferroelectric phases, in addition to the lattice and the magnetic modulation peaks. Temperature dependences of their intensities and the relation between the modulation wave vectors provide direct evidences of exchange striction induced ferroelectricity. Resonant x-ray scattering results demonstrate the presence of multiple magnetic orders by exhibiting their different temperature dependences. The commensurate-to-incommensurate phase transition around 24 K is attributed to discommensuration through phase slipping of the magnetic orders in spin frustrated geometries. We proposed that the low temperature incommensurate phase consists of the commensurate magnetic domains separated by anti-phase domain walls which reduce spontaneous polarizations abruptly at the transition., Comment: 4 pages, 4 figures

Published
2007
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24. Effect of multi-layer barriers on the optical properties of GaInNAs single quantum-well structures grown by metal-organic vapor phase epitaxy

Author

Sun, Handong, Clark, Antony H., Calvez, Stephane, Dawson, M. D., Kim, K. S., Kim, T., Park, Y. J., and School of Physical and Mathematical Sciences

Subjects
Science::Physics::Optics and light [DRNTU]
Abstract

We report on the effects of combined strain-compensating and strain-mediating layers of various widths on the optical properties of 1.3 mu m GaInNAs/GaAs single quantum well structures grown by metalorganic vapor phase epitaxy (MOVPE). While the emission wavelength of GaInNAs/GaAs quantum wells can be redshifted by the adoption of strain-compensated GaNAs layers, the material quality is degraded by the increased stress at the well/barrier interface. This detrimental effect can be cured by inserting a strain-mediating InGaAs layer between them. Contrary to what is expected, however, the emission wavelength is blueshifted by the insertion of the InGaAs layer, which is attributed to the reduced N incorporation due to the improved interface quality. Our results indicate that the optical properties of MOVPE-grown GaInNAs/GaAs quantum wells can be optimized in quantum efficiency and emission wavelength by combination of strain-compensating and strain-mediating layers with suitable characteristics. (c) 2005 American Institute of Physics. Published version

Published
2005

25. Probabilistic nonlocal gate operation via imperfect entanglement

Author

Jang, Jingak, Lee, Jinhyoung, Kim, M. S., and Park, Y. -J.

Subjects
Quantum Physics, TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES, Computer Science::Emerging Technologies, TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS, TheoryofComputation_GENERAL, FOS: Physical sciences, Quantum Physics (quant-ph), Nonlinear Sciences::Pattern Formation and Solitons
Abstract

Nonlocal gate operation is based on sharing an ancillary pair of qubits in perfect entanglement. When the ancillary pair are partially entangled, the efficiency of the gate operation drops. Using general transformations, we devise probabilistic nonlocal gates, which perform the nonlocal operation conclusively when the ancillary pair are only partially entangled. We show that a controlled purification protocol can be implemented by the probabilistic nonlocal operation., Comment: 4 pages, 3 figures

Published
2001
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28. Korean Nationwide Surveillance of Antimicrobial Resistance of bacteria in 1998

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Lee, K., Chang, C. L., Lee, N. Y., Hyon-Suk Kim, Hong, K. S., Cho, H. C., Paik, I. K., Lee, H. S., Park, A. J., Kang, S. H., Lee, M. H., Song, W. K., Shin, J. H., Kim, S. J., Jeong, S. H., Rheem, I., Ha, G. Y., Park, G. H., Rhim, C. H., Lee, W. G., Uh, Y., Cho, J., Kang, J. O., Choi, T. Y., Park, Y. J., Kim, M. Y., and Chong, Y.

33. 64nm pitch interconnects: Optimized for designability, manufacturability and extendibility

Author

Goldberg, C., Park, S. H., Kim, B. Y., Law, S. B., Hamieh, B., Jung, J., Kim, B. H., Rhee, S. H., Oh, M., Mobley, M., Laffosse, E., Kim, A., Thomas, A., Malinge, P., Fryxell, T., Lim, K. J., Park, I. S., Bahierathan, B., Wu, F., Erenturk, B., Jeon, W. C., Choi, H. C., Park, Y. J., Kim, H., Chen, T. Q., Thibaut, S., Niu, C., Zhang, J., Filippi, R., Kaltalioglu, E., Achanta, R., Wang, P. -C, Yang, H., Geronimi, J. P., Pagette, F., Chauhan, V., Ogino, A., Ravi Srivastava, Koshy, R., Baumann, F., Simon, A., Nag, J., Cheng, T., Fitzsimmons, J., Tseng, W., Lin, Y., Sun, Z., Bolom, T., Ko, T. -M, Clevenger, L., Kim, J., Sudijono, J., and Sampson, R.

44. A global metagenomic map of urban microbiomes and antimicrobial resistance

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Nadine Farhat, Tomoki Takeda, Astred Castro, Ken McGrath, Khaliun Sanchir, Iman Hajirasouliha, Eunice So, Laraib Zafar, Diana N. Nunes, Harun Mustafa, Amy Zhang, Priscilla Lisboa, Christian Schori, Marisano James, Jasna Chalangal, Sebastien Halary, Shahryar Rana, Yunmi Lee, Oli Schacher, Liliana Godoy, David A. Coil, Phanthira Pugdeethosal, Michelle D. Williams, German Marchandon, Angela Cantillo, Naoya Takahashi, Christopher Mozsary, Juana Gonzalez, Patrick K. H. Lee, Gerardo de Lamotte, Alessandro Robertiello, Steven Du, Fabienne Velter, Stefan G. Stark, Miguel Carbajo, Vincent Matthys, David A. Westfall, Julia Boeri, Irène Mauricette Mendy, Jonathan Cedillo, Francesco Oteri, Robert W. Crawford, Takayuki Ito, Tina Wunderlin, Maureen Muscat, David Paez-Espino, Carmen Urgiles, Aida Nesimi, Steffen Schaaf, Adan Ramirez-Rojas, Kunihiko Miyake, Christopher E. Mason, Anais Cardenas, Sharah Islam, Diego Benítez, Melissa Pool Pizzi, Kianna Ciaramella, Ciro Borrelli, Riham Islam, Dorottya Nagy-Szakal, Abd-Manaaf Bakere, Ait-hamlat Adel, Olha Lakhneko, Badamnyambuu Iderzorig, Ana Valeria Castro, Adam Phillips, Robert A. Petit, Flavia Corsi, Romain Conte, Krista Ryon, Soojin Jang, Joseph Benson, Fernanda de Souza Gomes Kehdy, Cindy Wang, Nicole Mathews, Jenn-Wei Chen, Rachel Paras, Paulina Pastuszek, Abigail Lyons, Paul Roldán, Muntaha Munia, Pierre Nicolas, Cassie L. Ettinger, Kyrylo Pyrshev, Katterinne N. Mendez, Eduardo Castro-Nallar, Valeriia Dotsenko, Michelle Tuz, Krizzy Mallari, Eileen Png, Yuya Sonohara, Tanja Miketic, Stéphane Delmas, Shu Zhang, Masaki Sato, Yuanting Zheng, Jifeng Zhu, Roland Häusler, Lucie Bittner, Savlatjon Rahmatulloev, Jonathan Foox, Bruno D'Alessandro, Alketa Plaku, Faisal Alquaddoomi, Yang Zhang, Kern Rei Chng, Juliana Lago, Allaeddine Chettouh, Tamera Henry, Houtan Noushmehr, Tranette Gregory, Sara Abdul Majid, Frank J. Kelly, Benjamin Pulatov, Laurie Casalot, Takema Kajita, Lennard Epping, Thais Fernanda Bartelli, Eftar Moniruzzaman, Renee Vivancos-Koopman, Thirumalaisamy P. Velavan, Tracy W. Liu, Yelyzaveta Tymoshenko, Alma Plaku, Nika Gurianova, Ambar Mendez, Anna Tomaselli, Sonia Dorado, Donato Giovannelli, Hira Choudhry, Synti Ng, Sheelta S. Kumar, Jennifer Q. Lu, Weijun Liang, Ellen Koag, Dennis Gankin, Maria João Amorim, Gwenola Simon, Kiyoshi Suganuma, Mikhail Karasikov, Christos A. Ouzounis, Madelyn May, Eran Elhaik, Stephan Ossowski, Kevin Bolzli, Matthew Arthur, Yuya Oto, Jananan Pathmanathan, Salah Mahmoud, Kou Takahashi, Brunna Marques, Kelly French, Felipe Sepúlveda, Shusei Yoshikawa, Paulo Thiago de Souza Santos, Andrew N. Gray, Juliana S Bernardes, Felipe Segato, Björn Brindefalk, George C. Yeh, Jhovana L. Velasco Flores, Jill Sullivan, Silva Baburyan, Denisse Flores, Russell Y. Neches, Sabrina Persaud, Rasheena Wright, Takumi Togashi, Verónica Antelo, Nao Kato, Skye Felice, Tatjana Mustac, Daisy Donnellan, Katerine Carrillo, Anna Litskevitch, Catalina García, Sota Ito, Naya Eady, Andrew Wan, Irene Meng, Sophie Guasco, Danilo Ercolini, Francesca De Filippis, Vincent Lemaire, Luice Fan, Lothar H. Wieler, Mariia Rybak, Jorge Sanchez, Jonathan S. Gootenberg, Itsuki Tomita, Maritza S Mosella, Laura Garcia, Natalka Makogon, Daisy Cheung, Hitler Francois Vasquez Arevalo, Freddy Asenjo, Gabriela P. Branco, Erika Cifuentes, Chloé Dequeker, Aspassia D. Chatziefthimiou, Alexis Terrero, Roy Meoded, Isabelle de Oliveira Moraes, Shaleni K. Singh, Orgil-Erdene Molomjamts, Karishma Miah, Laurent David, Wolfgang Haehr, Dao Phuong Giang, Romain Lannes, Prashanthi Ratnanandan, Ryota Yamanaka, Riccardo Vicedomini, Sadaf Ayaz, Oluwatosin M. Osuolale, Laura E. Vann, Gregory Chem, Andrea Gonzalez, Aszia Burrell, Ariel Chernomoretz, Sakura Ishizuka, Michelle Rivera, Avigdor Nosrati, Michelle B. Chen, Juliette Auvinet, Nils Ordioni, Tomoro Warashina, Guillaume Blanc, Tomislav Ivankovic, Christina Black, Lauren E. Hittle, David Hess-Homeier, Michael Kozhar, Hamood Suliman, Karobi Moitra, Saher Rahiel, Spyridon Gkotzis, Jenny Arevalo, Shaikh B. Iqbal, Beth Mutai, Mohammed Mohsin, Scott Tighe, Sylvie Collin, Yoshitaka Saito, Wayne Menary, Youping Deng, Lucy Lee, Esmeralda Jiminez, Ayuki Watanabe, Nikos C. Kyrpides, Natasha Mohan, Angelika Pupiec, Dedan Githae, Simone Cawthorne, Jonathan A. Eisen, Tomoki Iwashiro, Chiaki Homma, Thomas Saw Aung, Laura Molina, Marcus H. Y. Leung, Ophélie Da Silva, Yan Ling Wong, Hosna Noorzi, Mario Moreno, Alina Butova, Leming Shi, Brian W. Wong, Sarah S. Jackson, Moses Lin, Annabelle Meagher, Pujita Das, Catherine Burke, Mitsuki Ota, Maria Domenica Moccia, Nicolas Sprinsky, Catherine E. Pugh, David C. Green, Fazlina Fauzi, Erdenetsetseg Batdelger, Annie Geiger, Valeria Ventorino, Tolulope Oluwadare, Delisia Cuebas, Catalina Truong, Leonardo Posada, Michael Angelov, Tathiane M. Malta, Amanda Ng, Francesca Nadalin, Arya Hawkins-Zafarnia, Yuh Shiwa, Athena Mitsios, Milton Ozório Moraes, Manolo Laiola, Kalyn Ali, Jaden J.A. Hastings, Ikuto Saito, Maheen Shakil, Chisato Suzuki, Elena M. Vayndorf, Hubert Rehrauer, Ajay Menon, Kaitlan Russell, Aliyah Shari, Rebecca Smith, Gregorio Iraola, Max Priestman, Alan Briones, Silver A. Wolf, Camila Gonzalez-Poblete, Eleonora De Lazzari, Shirley Chiu, Michelle Ki, Irene Hoxie, Marianne Jaubert, Ayantu Jinfessa, Ryan J. King, Nghiem Xuan Hoan, Jalia Bynoe, Jacob Friedman, Aneisa Ramcharan, Pablo Fresia, Cristina Muñoz, Muhammad Afaq, Anyi Tang, Médine Benchouaia, Isabella Kuniko T. Takenaka, Anastasia Chasapi, Areeg Naeem, Hannah Benisty, Cecilia N. Cossio, Nathalie Hüsser, Mahfuza Sabina, Thais S. Sabedot, JoAnn Jacobs, Camila P. E. de Souza, Manuela Oliveira, Jean-Pierre Bouly, Mariko Usui, Wilson Miranda, Natalia Marciniak, Hiram Caballero, Samuel Weekes, Alexandra B. Graf, Emily Leong, Tatyana Nikolayeva, Dominique Thomas, Charlotte Greselle, Cecilia Salazar, Sreya Ray Chaudhuri, Kevin Becher, Sandra Roth, Ryusei Miura, Kari Oline Bøifot, Dimitri Manoir, Oliver Toth, Chandrima Bhattacharya, Manuel Perez, Isha Lamba, Takafumi Tsurumaki, Timothy D. Read, Anna-Lena M. Schinke, Ryan Sankar, Le Huu Song, Narasimha Rao Nedunuri, Emmanuel Dias-Neto, Ana Flávia Costa, Adiell Melamed, Christelle Desnues, Natalie R. Davidson, Aaron E. Darling, Hyung Jun Kim, Josephine Galipon, Jacqueline Orrego, Dimitar Vassilev, Michael Huber, Nur Hazlin Hazrin-Chong, Gaston H. Gonnet, Kaymisha Knights, Osman U. Sezerman, Dmitry Meleshko, Eunice Thambiraja, Jingcheng Yang, Aubin Fleiss, Gloria Nguyen, Katelyn Jackson, Nuria Aventin, Stephanie L. Hyland, Andrea Hässig, Catharine Aquino, Simona Lysakova, Israel O. Osuolale, Kasia Sluzek, Rania Siam, Alina Frolova, Samuel Hernandez, Yui Him Lo, Bazartseren Boldgiv, Ben Young, Maryna Korshevniuk, Majelia Ampadu, Yuk Man Tang, Amanda L. Muehlbauer, Sade Thomas, Gabriel Figueroa, Alexis Rivera, Lisbeth Pineda, Alexandra Dutan, Jennifer M. Tran, Chris K. Deng, Vedbar S. Khadka, Paola Florez de Sessions, Elizabeth Humphries, Hugues Richard, Hiba Naveed, Nora C. Toussaint, Mahshid Khavari, Maria del Mar Vivanco Ruiz, Antonin Thiébaut, Nicolás Rascovan, Marius Dybwad, Orhan Özcan, Lawrence Kwong, David Danko, Shaira Khan, Andrea Tassinari, Silvia Beurmann, Tsoi Ying Lai, Nanami Kubota, Tieliu Shi, Diana Chicas, Evan E. Afshin, Hirokazu Yano, Jonas Krebs, Mayuko Nakagawa, Hyun Jung Lee, Irene González Navarrete, Rachid Ounit, Lucia E. Alvarado-Arnez, Masaki Nasu, Allison Chan, Harilanto Andrianjakarivony, Jennifer Amachee, Mahdi Taye, Wan Chiew Ng, Kathryn O’Brien, Shino Ishikawa, Tristan Bitard-Feildel, Sora Takagi, Felix Hartkopf, Niamh B. O’Hara, Marcos A. S. Fonseca, Subhamitra Pakrashi, Amrit Kaur, Eva Hell, Patricia Vera-Wolf, Naimah Munim, Luiza Ferreira de Araújo, Mizuki Igarashi, Brianna Pompa-Hogan, Alessandra Carbone, Anne-Sophie Benoiston, Eric Helfrich, Michael A. Suarez-Villamil, Omar O. Abudayyeh, Natasha Abdullah, Jaime J. Fuentes, Juan Carlos Forero, Tetiana Yeskova, Denis Bertrand, Sambhawa Priya, Denisse Maldonado, Agier Nicolas, Ana Valeria B Castro, Starr Chatziefthimiou, André Kahles, Aaishah Francis, Fernanda Arredondo, Emilio Tarcitano, Irvind Buttar, Alex Alexiev, Jennifer Molinet, Sarah Shalaby, Itunu A. Oluwadare, Jason Sperry, Katrin Bakhl, Ana M. Cañas, Sofia Ahsanuddin, Miar Elaskandrany, Elodie Laine, Sven Bönigk, Johannes Werner, Stephen Eduard Boja Ruiz, Gargi Dayama, Paulina Buczansla, Brandon Valentine, Bharath Prithiviraj, Toni Bode, Stas Zubenko, Jake Cohen, Guilllaume Jospin, Zulena Saravi, Per O. Ljungdahl, Inderjit Kaur, Mauricio Moldes, Giuseppe KoLoMonaco, Denise Syndercombe Court, Sonia Bouchard, Sonia Losim, Sookwon Moon, Heba Shaaban, Suraj Patel, Sibo Zhu, Sarh Aly, Arif Asyraf Md Supie, LaShonda Dorsey, Juan Guerra, François Baudon, Rantimi A. Olawoyin, Alexia Bordigoni, Iqra Faiz, Mathilde Garcia, Gabriella Mason-Buck, María Gabriela Portilla, Niranjan Nagarajan, Fumie Takahara, Nancy Merino, Watson Andrew, Gina Kim, Yuma Sato, Hyenah Shim, Marie-Laure Jerier, Affifah Saadah Ahmad Kassim, Katerina Kuchin, Daniel Butler, Paweł P. Łabaj, Nadezhda Kobko-Litskevitch, Emmanuel F. Mongodin, Yuto Togashi, Paula Rodríguez, Pilar Lopez Hernandez, Xiaoqing Chen, Maria A. Sierra, Olga Nikolayeva, Manon Loubens, Colleen Conger, Hikaru Shirahata, Chenhao Li, Timothy Donahoe, Youngja Park, Lucia Elena Alvarado Arnez, Salama Chaker, Francisco Chavez, Alessandra Breschi, Jorge L. Sanchez, Kaung Myat San, Nayra Aguilar Rojas, Marcos Abraao, Kai Sasaki, Bryan Nazario, Olena Yemets, Klas I. Udekwu, Lynn M. Schriml, Anisia Peters, Aliaksei Holik, Mark Hernandez, Emile Faure, Malay Bhattacharyya, Josef W. Moser, Núria Andreu Somavilla, María Mercedes Zambrano, Kannan Rajendran, Gabriela E. Albuquerque, Tao Qing, Kazutoshi Tsuda, Ymke De Jong, Princess Osma, Mayra Arauco Livia, Javier Quilez Oliete, Carl Chrispin, Hyun Woo Joo, Ingrid Lafontaine, Nala An, Seisuke Sato, Felipe Segato Dezem, Andrew Maltez Thomas, Alexandre Desert, Xiao Wen Cai, O. Osuolale, Jun Wu, Coral Pardo-Esté, Courtney Robinson, Yuri Matsuzaki, Marina Nieto-Caballero, Cem Meydan, Ralph Schlapbach, Mark Menor, Sofia Castro, Rachel Kwong, Brittany Blyther, Olexandr Lykhenko, Jason R. Schriml, Christian Brion, Jenessa Orpilla, Juan A. Ugalde, Elsy Mankah Ngwa, Álvaro Aranguren, Lauren Mak, Matías Giménez, Ashanti Narce, Torsten Semmler, Stefan I. Tsonev, Abdollahi Nika, Katherine E. Dahlhausen, Monika Devi, Gunnar Rätsch, Oasima Muner, Carla Bello, Muhammad Al-Fath Amran, Anyelic Rosario, Melissa Ortega, Andrea Patrignani, Ante Peros, Elias McComb, Ryo Sato, Ireen Alam, Clara N. Dias, Soma Tanaka, Dayana Calderon, Ran Blekhman, Mathilde Mignotte, Alicia Boyd, Jochen Hecht, Thomas Neff, Xinzhao Tong, Josue Alicea, Kiara Olmeda, Sonia Marinovic, Carme Arnan, Kohei Ito, Samantha L. Goldman, Marianna S. Serpa, Renee Richer, Kaisei Sato, Jordana M. Silva, Akash Keluth Chavan, Sangwan Kim, Laís Pereira Ferreira, Sophie Vacant, Nowshin Sayara, Haruo Suzuki, Madeline Leahy, Juan C. Severyn, Sierra Vincent, Masaru Tomita, Maliha Mamun, Lucinda B. Davenport, Gabriella Oken, Dagmara Lewandowska, Gustavo Adolfo Malca Salas, Andrii Kuklin, Tyler Wong, Charlie Feigin, Eric Minwei Liu, Sonia L. Ghose, Daniela Bezdan, Antonietta La Storia, Juan P. Escalera-Antezana, Nuno Rufino de Sousa, Samuel M. Gerner, Weill Cornell Medicine [New York], Icahn School of Medicine at Mount Sinai [New York] (MSSM), Genome Institute of Singapore (GIS), Centre for Genomic Regulation [Barcelona] (CRG), Universitat Pompeu Fabra [Barcelona] (UPF)-Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), AUTRES, Massachusetts Institute of Technology (MIT), Indian Statistical Institute [Kolkata], University of Minnesota System, Universidad Andrés Bello [Santiago] (UNAB), California State University [Sacramento], University of Naples Federico II, University of Hawaii, Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Medical Genomics Group, University College of London [London] (UCL)-UCL Cancer Institute, Norwegian Defence Research Establishment (FFI), Lund University [Lund], Institute of Molecular Biology and Genetics of National Academy of Sciences of Ukraine, University of Vienna [Vienna], King‘s College London, University of Colorado [Boulder], Institut Pasteur de Montevideo, Réseau International des Instituts Pasteur (RIIP), Institut Pasteur Korea - Institut Pasteur de Corée, Fudan University [Shanghai], City University of Hong Kong [Hong Kong] (CUHK), Stockholm University, University of Maryland School of Medicine, University of Maryland System, Fundação Oswaldo Cruz (FIOCRUZ), University of São Paulo (USP), Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP), Barcelona Institute of Science and Technology (BIST), Elizade University, Acibadem Mehmet Ali Aydınlar University, Paléogénomique microbienne - Microbial paleogenomics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Robert Koch Institute [Berlin] (RKI), East China Normal University [Shangaï] (ECNU), Cairo University, Vietnamese-German Center for Medical Research, Keio University, Université du Vermont, Universidad del Desarrollo, University of Sofia, University of Alaska [Fairbanks] (UAF), Universitätsklinikum Tübingen - University Hospital of Tübingen, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Corporación Corpogen-Research Center, Biologie Computationnelle et Quantitative = Laboratory of Computational and Quantitative Biology (LCQB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Weill Cornell Medicine [Cornell University], Cornell University [New York], University of Naples Federico II = Università degli studi di Napoli Federico II, Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Fundação Oswaldo Cruz / Oswaldo Cruz Foundation (FIOCRUZ), Universidade de São Paulo = University of São Paulo (USP), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Софийски университет = Sofia University, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad Andrés Bello - UNAB (CHILE), Acibadem University Dspace, Danko, D., Bezdan, D., Afshin, E. E., Ahsanuddin, S., Bhattacharya, C., Butler, D. J., Chng, K. R., Donnellan, D., Hecht, J., Jackson, K., Kuchin, K., Karasikov, M., Lyons, A., Mak, L., Meleshko, D., Mustafa, H., Mutai, B., Neches, R. Y., Ng, A., Nikolayeva, O., Nikolayeva, T., Png, E., Ryon, K. A., Sanchez, J. L., Shaaban, H., Sierra, M. A., Thomas, D., Young, B., Abudayyeh, O. O., Alicea, J., Bhattacharyya, M., Blekhman, R., Castro-Nallar, E., Canas, A. M., Chatziefthimiou, A. D., Crawford, R. W., De Filippis, F., Deng, Y., Desnues, C., Dias-Neto, E., Dybwad, M., Elhaik, E., Ercolini, D., Frolova, A., Gankin, D., Gootenberg, J. S., Graf, A. B., Green, D. C., Hajirasouliha, I., Hastings, J. J. A., Hernandez, M., Iraola, G., Jang, S., Kahles, A., Kelly, F. J., Knights, K., Kyrpides, N. C., Labaj, P. P., Lee, P. K. H., Leung, M. H. Y., Ljungdahl, P. O., Mason-Buck, G., Mcgrath, K., Meydan, C., Mongodin, E. F., Moraes, M. O., Nagarajan, N., Nieto-Caballero, M., Noushmehr, H., Oliveira, M., Ossowski, S., Osuolale, O. O., Ozcan, O., Paez-Espino, D., Rascovan, N., Richard, H., Ratsch, G., Schriml, L. M., Semmler, T., Sezerman, O. U., Shi, L., Shi, T., Siam, R., Song, L. H., Suzuki, H., Court, D. S., Tighe, S. W., Tong, X., Udekwu, K. I., Ugalde, J. A., Valentine, B., Vassilev, D. I., Vayndorf, E. M., Velavan, T. P., Wu, J., Zambrano, M. M., Zhu, J., Zhu, S., Mason, C. E., Abdullah, N., Abraao, M., Adel, A. -H., Afaq, M., Al-Quaddoomi, F. S., Alam, I., Albuquerque, G. E., Alexiev, A., Ali, K., Alvarado-Arnez, L. E., Aly, S., Amachee, J., Amorim, M. G., Ampadu, M., Amran, M. A. -F., An, N., Andrew, W., Andrianjakarivony, H., Angelov, M., Antelo, V., Aquino, C., Aranguren, A., Araujo, L. F., Vasquez Arevalo, H. F., Arevalo, J., Arnan, C., Alvarado Arnez, L. E., Arredondo, F., Arthur, M., Asenjo, F., Aung, T. S., Auvinet, J., Aventin, N., Ayaz, S., Baburyan, S., Bakere, A. -M., Bakhl, K., Bartelli, T. F., Batdelger, E., Baudon, F., Becher, K., Bello, C., Benchouaia, M., Benisty, H., Benoiston, A. -S., Benson, J., Benitez, D., Bernardes, J., Bertrand, D., Beurmann, S., Bitard-Feildel, T., Bittner, L., Black, C., Blanc, G., Blyther, B., Bode, T., Boeri, J., Boldgiv, B., Bolzli, K., Bordigoni, A., Borrelli, C., Bouchard, S., Bouly, J. -P., Boyd, A., Branco, G. P., Breschi, A., Brindefalk, B., Brion, C., Briones, A., Buczansla, P., Burke, C. M., Burrell, A., Butova, A., Buttar, I., Bynoe, J., Bonigk, S., Boifot, K. O., Caballero, H., Cai, X. W., Calderon, D., Cantillo, A., Carbajo, M., Carbone, A., Cardenas, A., Carrillo, K., Casalot, L., Castro, S., Castro, A. V., Castro, A., Castro, A. V. B., Cawthorne, S., Cedillo, J., Chaker, S., Chalangal, J., Chan, A., Chasapi, A. I., Chatziefthimiou, S., Chaudhuri, S. R., Chavan, A. K., Chavez, F., Chem, G., Chen, X., Chen, M., Chen, J. -W., Chernomoretz, A., Chettouh, A., Cheung, D., Chicas, D., Chiu, S., Choudhry, H., Chrispin, C., Ciaramella, K., Cifuentes, E., Cohen, J., Coil, D. A., Collin, S., Conger, C., Conte, R., Corsi, F., Cossio, C. N., Costa, A. F., Cuebas, D., D'Alessandro, B., Dahlhausen, K. E., Darling, A. E., Das, P., Davenport, L. B., David, L., Davidson, N. R., Dayama, G., Delmas, S., Deng, C. K., Dequeker, C., Desert, A., Devi, M., Dezem, F. S., Dias, C. N., Donahoe, T. R., Dorado, S., Dorsey, L., Dotsenko, V., Du, S., Dutan, A., Eady, N., Eisen, J. A., Elaskandrany, M., Epping, L., Escalera-Antezana, J. P., Ettinger, C. L., Faiz, I., Fan, L., Farhat, N., Faure, E., Fauzi, F., Feigin, C., Felice, S., Ferreira, L. P., Figueroa, G., Fleiss, A., Flores, D., Velasco Flores, J. L., Fonseca, M. A. S., Foox, J., Forero, J. C., Francis, A., French, K., Fresia, P., Friedman, J., Fuentes, J. 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Subjects
Urban Population, Drug Resistance, Sequence assembly, Microbiologia, microbiome, global health, computer.software_genre, Medical and Health Sciences, shotgun sequencing, BGC, 0302 clinical medicine, Databases, Genetic, 11. Sustainability, Global health, AMR, 11 Medical and Health Sciences, ComputingMilieux_MISCELLANEOUS, 0303 health sciences, built environment, metagenome, antimicrobial resistance, NGS, de novo assembly, biology, Shotgun sequencing, Microbiota, built Environment, Bacterial, Biodiversity, Biological Sciences, 3. Good health, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Infection, Biotechnology, Geospatial analysis, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Article, General Biochemistry, Genetics and Molecular Biology, Databases, 03 medical and health sciences, Antibiotic resistance, Genetic, Drug Resistance, Bacterial, International MetaSUB Consortium, Genetics, Humans, Microbiome, 030304 developmental biology, Human Genome, 06 Biological Sciences, 15. Life on land, biology.organism_classification, Resistènica als medicaments antiinfecciosos, SAÚDE PÚBLICA, Genòmica, 13. Climate action, Evolutionary biology, Metagenomics, Antimicrobial Resistance, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer, 030217 neurology & neurosurgery, Archaea, Developmental Biology
Abstract

Summary We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities., Graphical abstract, Highlights • Cities possess a consistent “core” set of non-human microbes • Urban microbiomes echo important features of cities and city-life • Antimicrobial resistance genes are widespread in cities • Cities contain many novel bacterial and viral species, This systematic, worldwide catalog of urban microbiomes represents a metagenomic atlas important for understanding the ecology, virulence, and antibiotic resistance of city-specific microbial communities.

Published
2021

45. Preliminary acousto-ultrasonic investigation for multi-parameter transducer self-diagnostic system in composites

Author

M. Lilov, Fabrizio Ricci, Ernesto Monaco, Y.J. Park, Vittorio Memmolo, Memmolo, V., Park, Y. J., Lilov, M., Monaco, E., Ricci, F., and Publica

Subjects
Computer science, Ceramics and Composite, 02 engineering and technology, Fault (power engineering), 01 natural sciences, Compensation (engineering), 0103 physical sciences, Composite material, Aerospace, 010301 acoustics, Reliability (statistics), Civil and Structural Engineering, Measurement, Structural health monitoring, business.industry, Damage detection, Self-diagnostic, 021001 nanoscience & nanotechnology, Transducer, Ultrasonic, Composite structure, Delamination, Ceramics and Composites, Ultrasonic sensor, 0210 nano-technology, business, Damage tolerance
Abstract

Commercial aerospace vehicles are demanded to withstand harsh conditions with a low weight impact. Composites are massively used to achieve the optimal trade-off about such performances. However, actually the effect of barely visible flaws on the damage tolerance approach reduces strongly the benefits introduced. Structural Health Monitoring is the most promising technology aimed to compensate such shortcoming aspect. Among several methods, guided waves are efficiently adopted to detect hidden flaws using small integrated transducers, whose reliability is affect by hazard operating conditions. The self-sensing of such devices became indeed crucial to reduce false alarms in damage detection. Although the electromechanical impedance technique is proved to be effective for sensor fault due to different degradation levels, several failures may induce different effects warning a possible compensation. The present work discusses such effects with a comprehensive acousto-ultrasonic experimental campaign. The combined wave propagation and electromechanical impedance investigation mostly assesses the necessity and the feasibility of a multi-parametric self-sensing system. This approach is verified performing several measurements using Laser Doppler Velocimetry (LDV) as well as electromechanical signature measurements on typical aeronautical composites.

Published
2018
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