9 research outputs found
Multiple Contribution Travel-time Equation In The Mcg Domain
Multiple attenuation is a crucial phase in the processing of marine seismic data. In specific, free surface multiples (waterair interface) that reflect from near water bottom layers are so strong that they mask reflections from lower geological layers. Surface Related Multiple Elimination (SRME) process is composed of two steps: prediction and adaptive subtraction. This paper deals with the prediction step. We analyze the signals that are registered on the Multiple Contribution Gather (MCG) domain and how they can be processed in order to obtain better prediction results. The better the prediction, the better the adaptation and subtraction. We suggest an approximation to the Multiple Contribution Traveltime (MCT) equation in the MCG domain. We use this equation to correct and filter the signals on the MCG domain.136140Dedem, E.J.V., Verschuur, D.J., 3D surface-related multiple prediction: A sparse inversion approach (2005) Geophysics, 70 (3), pp. V31. , ISSN 00168033 doi:10. 1190/1. 1925752Donno, D., Chauris, H., 2D multiple prediction in the curvelet domain (2010) EAGE-European Association of Geoscientists & Engineers, , JuneVerschuur, D.J., Seismic multiple removal techniques: Past, present and future (2006) Book, (8). , ISSN 1537-6613Yilmaz, O., Seismic data analysis: Processing, inversion and interpretation of seismic data, invest (2001) Society of Exploration Geophysicists, , ISBN 978156080098
Qsar Study Of Inibition By Coumarins Of Iq Induced Mutation In S. Typhimurium Ta98
Coumarin and its analogs inhibit the mutagenicity of 2-amino-3- methylimidazo[4,5-f] quinoline (IQ) in Salmonella typhimurium TA98. A quantitative structure-activity relationship (QSAR) study revealed that the antimutagenic activity of coumarins is related to the energy gap between levels one and two bellow the highest occupied molecular orbital (HOMO), ΔHOMO-1-ΔHOMO-2. The QSAR model suggests that the inhibition involves a direct interaction between the coumarins and the cytochromes CYP that activate IQ to a mutagen. © 2005 Elsevier B.V. All rights reserved.7251-3231238Skoog, K., Cooking procedures and food mutagens: A literature review (1993) Food Chemistry and Toxicology, 31, pp. 655-675Debnath, A.K., Debnath, G., Shusterman, A.J., Hansch, C., A QSAR investigation of the role of hydrophobicity in regulating mutagenicity in the ames test 1. 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Unsupervised Processing Of Geophysical Signals: A Review Of Some Key Aspects Of Blind Deconvolution And Blind Source Separation
Unsupervised signal processing has been an exciting theme of research for at least three decades. It finds the potential application in practically all fields where well-established techniques of digital signal processing have been employed, including telecommunications; speech and audio processing; image, radar, and sonar; and biomedical signals. Among these classical problems, geophysical signal processing has played a prominent role in the development of unsupervised methods. In fact, the field of unsupervised processing can be said to have started with the early application of Wiener's theories to seismology. © 2012 IEEE.2942735Kaplan, S.T., Ulrych, T.J., Blind deconvolution and ICA with a banded mixing matrix (2003) Proc. 4th Int. Symp. Independent Component Analysis and Blind Signal Separation, pp. 591-596. , Nara, JapanRomano, J.M.T., Attux, R., Cavalcante, C.C., Suyama, R., (2010) Unsupervised Signal Processing, , Boca Raton FL: CRC PressYilmaz, Ă., (2001) Seismic Data Analysis, , Tulsa OK: Society of Exploration GeophysicistsEdgar, J.A., Bann Der M.Van, How reliable is statistical wavelet estimation? (2011) Geophysics, 76 (4), pp. V59-V68. , July-AugNeelamani, R., Deconvolution and optimal filtering in seismology (2009) Handbook of Signal Processing in Acoustics, 2, pp. 1571-1583. , D. Havelock, S. Kuwano, and M. VorlĂ€nder, Eds. New York: Springer-Verlag ch. 87Robinson, E.A., (1954) Predictive Decomposition of Time Series with Applications to Seismic Exploration, , Ph.D. dissertation Dept. Geol. 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Publishing, 19 (6), pp. R27-R83Guitton, A., Verschuur, D.J., Adaptive subtraction of multiples using the L 1-norm (2004) Geophysical Prospecting, 52 (1), pp. 27-38. , DOI 10.1046/j.1365-2478.2004.00401.xLu, W., Adaptive multiple subtraction using independent component analysis (2006) Geophysics, 71 (5), pp. 179-184Lu, W., Liu, L., Adaptive multiple subtraction based on constrained independent component analysis (2009) Geophysics, 74 (1), pp. V1-V7Kaplan, S.T., Innanen, K.A., Adaptive separation of free-surface multiples through independent component analysis (2008) Geophysics, 73 (3), pp. V29-V36. , DOI 10.1190/1.2890407Dragoset, B., Verschuur, E., Moore, I., Bisley, R., A perspective on 3D surfacerelated multiple elimination (2010) Geophysics, 75 (5), pp. 75A245-75A261Mari, J.L., Seismic wave separation by SVD and (F-K) combined filters (2006) Proc. Extended Abstracts 2006 2nd Int. Symp. Communications, Control and Signal Processing, , Marrakech, MoroccoVrabie, V.D., Mars, J.I., Lacoume, J.-L., Modified singular value decomposition by means of independent component analysis (2004) Signal Process., 84 (3), pp. 645-652Freire, S.L.M., Ulrych, T.J., Application of singular value decomposition to vertical seismic profiling (1988) Geophysics, 53 (6), pp. 778-785Porsani, M.J., Silva, M.G., Melo, P.E.M., Ursin, B., SVD filtering applied to ground-roll attenuation (2010) J. Geophys. Eng., 7 (3), pp. 284-289Bekara, M., Van Der Baan, M., Local singular value decomposition for signal enhancement of seismic data (2007) Geophysics, 72 (2), pp. V59-V65. , DOI 10.1190/1.2435967Al-Qaisi, A., Woo, W.L., Dlay, S.S., Sparsity exploitation of mixing matrix and reflectivity sequence for ICA-blind seismic deconvolution (2008) Proc. 3rd Int. Conf. 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Asian water buffalo: domestication, history and genetics
The domestic Asian water buffalo (Bubalus bubalis) is found on all ïŹve continents, with a global population of some 202 million. The livelihoods of more people depend on this species than on any other domestic animal. The two distinct types (river and swamp) descended from different wild Asian water buffalo (Bubalus arnee) populations that diverged some 900 kyr BP and then evolved in separate geographical regions. After domestication in the western region of the Indian subcontinent (ca. 6300 years BP), the river buffalo spread west as far as Egypt, the Balkans and Italy. Conversely, after domestication in the China/ Indochina border region ca. 3000â7000 years BP, swamp buffaloes dispersed through south-east Asia and China as far as the Yangtze River valley. Molecular and morphological evidence indicates that swamp buffalo populations have strong geographic genetic differentiation and a lack of gene ïŹow, but strong phenotypic uniformity. In contrast, river buffalo populations show a weaker phylogeographic structure, but higher phenotypic diversity (i.e. many breeds). The recent availability of a high-quality reference genome and of a medium-density marker panel for genotyping has triggered a number of genome-wide investigations on diversity, evolutionary history, production traits and functional elements. The growing molecular knowledge combined with breeding programmes should pave the way to improvements in production, environmental adaptation and disease resistance in water buffalo populations worldwide
Size characterization of airborne SiO2 nanoparticles with on-line and off-line measurement techniques: Results of an interlaboratory comparison
Day after day, new applications using manufactured nanoparticles appear in industry. To evaluate the occupational risk associated with airborne nanoparticles, it is important to have reliable, accurate, and standardized measurement methods. It is therefore necessary to work on pre- standardization projects to develop reference methods to characterize different parameters such as the number and the size distribution of airborne nanoparticles