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Books on the topic 'Localization analysis'

Author: Grafiati

Published: 10 March 2023

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1

Jatoi, Munsif Ali, and Nidal Kamel. Brain Source Localization Using EEG Signal Analysis. Boca Raton : Taylor & Francis, 2018.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315156415.

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2

J, Allan Victoria, ed. Protein localization by fluorescence microscopy: A practical approach. Oxford: Oxford University Press, 2000.

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3

1925-, Pertschuk Louis P., and Lee Sin Hang 1932-, eds. Localization of putative steroid receptors. Boca Raton. Fla: CRC Press, 1985.

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4

Rucka, Magdalena. Application of wavelet analysis in damage detection and localization. Gdańsk: Wydawn. Politechniki Gdańskiej, 2007.

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5

Localization and perturbation of zeros of entire functions. Boca Raton: Chapman & Hall/CRC, 2009.

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6

Murmanis, L. Cytochemical localization of cellulases in decayed and nondecayed wood. [Madison, Wis.?: Forest Products Laboratory], 1987.

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7

Vorozht͡sov, E. V. Methods for the localization of singularities in numerical solutions of gas dynamics problems. New York: Springer-Verlag, 1990.

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8

M, Rakowicz-Szulczynska Ewa, ed. Nuclear localization of growth factors and of monoclonal antibodies. Boca Raton: CRC Press, 1994.

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9

Madej, Łukasz. Development of the modelling strategy for the strain localization simulation based on the digital material representation. Kraków: AGH University of Science and Technology Press, 2010.

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10

Miguel Torre do Vale Arriaga e Cunha. Stability Analysis of Metals Capturing Brittle and Ductile Fracture through a Phase Field Method and Shear Band Localization. [New York, N.Y.?]: [publisher not identified], 2016.

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11

Visual population codes: Toward a common multivariate framework for cell recording and functional imaging. Cambridge, Mass: MIT Press, 2011.

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12

Viviani, Alessandro, ed. Firms and System Competitiveness in Italy. Florence: Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-6453-270-7.

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Recent evolution of the Italian industrial system shows how the concepts of localization/delocalization of economic production processes have very little to do with geographical and administrative borders. In this context, a very important and discussed element of complexity is represented by the evaluation of competitiveness. Problems regarding the concept and its proper measurement require a deep elaboration and regard the context of analysis, the information and the available statistical data sources. This book aims at discussing this complex phenomenon from a critical viewpoint both at a macro (economic systems) and at a micro (firms) level showing that they are intrinsically integrated.

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13

Ho, Wai-Chung. Globalization, Nationalism, and Music Education in the Twenty-First Century in Greater China. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463729932.

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Globalization, Nationalism, and Music Education in the Twenty-First Century in Greater China examines the recent developments in school education and music education in Greater China – Mainland China, Hong Kong, and Taiwan – and the relationship between, and integration of, national cultural identity and globalization in their respective school curriculums. Regardless of their common history and cultural backgrounds, in recent decades, these localities have experienced divergent political, cultural, and educational structures. Through an analysis of the literature, official curriculum documents, approved music textbooks, and a survey questionnaire and in-depth interviews with music teachers, this book also examines the ways in which policies for national identity formation and globalization interact to complement and contradict each other in the context of music education in respect to national and cultural values in the three territories. Wai-Chung Ho’s substantive research interests include the sociology of music, China’s education system, and the comparative study of East Asian music education. Her research focuses on education and development, with an emphasis on the impact of the interplay between globalization, nationalization, and localization on cultural development and school music education.

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14

Brain Source Localization Using EEG Signal Analysis. Taylor & Francis Group, 2017.

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15

Kamel, Nidal, and Munsif Ali Jatoi. Brain Source Localization Using EEG Signal Analysis. Taylor & Francis Group, 2017.

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16

Kamel, Nidal, and Munsif Ali Jatoi. Brain Source Localization Using EEG Signal Analysis. Taylor & Francis Group, 2017.

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17

Kamel, Nidal, and Munsif Ali Jatoi. Brain Source Localization Using EEG Signal Analysis. Taylor & Francis Group, 2017.

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18

Kamel, Nidal, and Munsif Ali Jatoi. Brain Source Localization Using EEG Signal Analysis. Taylor & Francis Group, 2017.

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19

Kamel, Nidal, and Munsif Ali Jatoi. Brain Source Localization Using EEG Signal Analysis. Taylor & Francis Group, 2017.

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20

Gil', Michael. Localization and Perturbation of Zeros of Entire Functions. Taylor & Francis Group, 2009.

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21

Gil', Michael. Localization and Perturbation of Zeros of Entire Functions. Taylor & Francis Group, 2017.

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22

Gil', Michael. Localization and Perturbation of Zeros of Entire Functions. Taylor & Francis Group, 2009.

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23

A Statistical Analysis of Space Structure Mode Localization. Storming Media, 1999.

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24

Cox, Amy M. A Statistical Analysis of Space Structure Mode Localization. PN, 1999.

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25

Allan, Victoria J. Protein Localization by Fluorescence Microscopy: A Practical Approach. Oxford University Press, 2000.

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26

Frequency based localization of structural discrepancies. Cambridge, Mass: Charles Stark Draper Laboratory, 1988.

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27

Hamdi, Salah. Electroencephalogram Signal Analysis: Epileptic Cerebral Activity Localization and Implementation. Cambridge Scholars Publishing, 2022.

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28

Yanenko, N. N., and E. V. Vorozhtsov. Methods for the Localization of Singularities in Numerical Solutions of Gas Dynamics Problems. Springer London, Limited, 2011.

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29

Histochemical and Cytochemical Localization of Proteases (Progress in Histochemistry and Cytochemistry). Gustav Fischer, 1988.

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30

Prashad, Rene C. Analysis of exocytotic protein localization in presynaptic terminals at crayfish neuromuscular junctions. 2005.

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31

Prashad, Rene C. Analysis of exocytotic protein localization in presynaptic terminals at crayfish neuromuscular junctions. 2005.

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32

Taha, Abu-Bakr M. An approach to software fault localization and revalidation based on incremental data flow analysis. 1991.

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33

Ashby, F. Gregory. Statistical Analysis of FMRI Data. MIT Press, 2019.

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34

Ashby, F. Gregory. Statistical Analysis of FMRI Data. MIT Press, 2011.

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35

Ashby, F. Gregory. Statistical Analysis of FMRI Data. MIT Press, 2011.

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36

Ashby, F. Gregory. Statistical Analysis of FMRI Data. MIT Press, 2019.

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37

Statistical Analysis Of Fmri Data. MIT Press (MA), 2011.

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38

Statistical Analysis of FMRI Data. MIT Press, 2019.

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39

Ashby, F. Gregory. Statistical Analysis of FMRI Data. MIT Press, 2019.

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40

Hsiao, Ya-Wen. Standardization or localization?: A comparative analysis of creative strategy in American and Taiwanese magazine advertising. 1993.

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41

Williams, Pascale M. Analysis of coproporphyrinogen III oxidase in maize: The genes, their expression, and the localization of their products. 1999.

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42

Ali, Arlene Cheryl Yasmin. The most acidic urinary protein complex: development of specific antibodies, histochemical localization, disease associations, and amino acid analysis. 1985.

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43

Receptors: Molecular Biology, Receptor Subclasses, Localization, and Ligand Design (Methods in Neurosciences). Academic Press, 1993.

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44

Barton, Jason J. S. The Cerebral localization and function of motion preception and smooth pursuit in humans: Studies with lesion analysis and functional magnetic resonance imaging. 1996.

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45

Studies on calcitonin in the carotid body chief cells during development and in SIDS: Immunohistochemical localization, quantitative analysis and detection of calcitonin mRNA by in situ hybridization. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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46

Chung, Moo K. Statistical and Computational Methods in Brain Image Analysis. Taylor & Francis Group, 2013.

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47

Statistical and Computational Methods in Brain Image Analysis. Taylor & Francis Group, 2013.

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48

Chung, Moo K. Statistical and Computational Methods in Brain Image Analysis. Taylor & Francis Group, 2013.

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49

Chung, Moo K. Statistical and Computational Methods in Brain Image Analysis. Taylor & Francis Group, 2013.

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50

Edmunds, D. E., and W. D. Evans. Estimates for the Singular Values of −Δ‎ + q when q is Complex. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198812050.003.0012.

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This chapter considers the Schrödinger operator −Δ‎ + q with q complex. In this case the operator is not self-adjoint and so the analysis of Chapter XI does not apply. It is the distribution of the singular values that is now considered, the technique used being again the localization to cubes forming a covering of Ω‎, together with the Max–Min Principle. Some results are obtained concerning the sequence class lp to which the singular numbers and eigenvalues belong.

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