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Статті в журналах з теми "Transformation methods"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Hain, Patricia, and Donald Lee. "Transformation 2: Transformation Methods." Journal of Natural Resources and Life Sciences Education 32, no. 1 (2003): 136. http://dx.doi.org/10.2134/jnrlse.2003.0136.

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2

Cline, Steven W., Wan L. Lam, Robert L. Charlebois, Leonard C. Schalkwyk, and W. Ford Doolittle. "Transformation methods for halophilic archaebacteria." Canadian Journal of Microbiology 35, no. 1 (January 1, 1989): 148–52. http://dx.doi.org/10.1139/m89-022.

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Анотація:

We present a practical description of polyethylene glycol mediated spheroplast transformation of Halobacterium halobium and Halobacterium volcanii. This method has been applied to phage DNA transfection, plasmid DNA transformation, and transformation with linear fragments of high molecular weight genomic DNA. Efficient spheroplast regeneration allows uncomplicated recovery of transformed progeny. Transformations can be performed equally well using fresh or frozen cell preparations. These methods should find application in molecular cloning, genetic fine mapping, and strain construction.Key words: archaebacteria, Halobacterium, transformation methods, spheroplast.

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3

Morrish, Fionnuala M., and Michael E. Fromn. "Cereal transformation methods." Current Biology 2, no. 5 (May 1992): 273. http://dx.doi.org/10.1016/0960-9822(92)90390-v.

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4

Morrish, Fionnuala M., and Michael E. Fromm. "Cereal transformation methods." Current Opinion in Biotechnology 3, no. 2 (April 1992): 141–46. http://dx.doi.org/10.1016/0958-1669(92)90143-7.

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5

Niazian, M., S. A. Sadat Noori, P. Galuszka, and S. M. M. Mortazavian. "Tissue culture-based Agrobacterium-mediated and in planta transformation methods." Czech Journal of Genetics and Plant Breeding 53, No. 4 (November 10, 2017): 133–43. http://dx.doi.org/10.17221/177/2016-cjgpb.

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Gene transformation can be done in direct and indirect (Agrobacterium-mediated) ways. The most efficient method of gene transformation to date is Agrobacterium-mediated method. The main problem of Agrobacterium-method is that some plant species and mutant lines are recalcitrant to regeneration. Requirements for sterile conditions for plant regeneration are another problem of Agrobacterium-mediated transformation. Development of genotype-independent gene transformation method is of great interest in many plants. Some tissue culture-independent Agrobacterium-mediated gene transformation methods are reported in individual plants and crops. Generally, these methods are called in planta gene transformation. In planta transformation methods are free from somaclonal variation and easier, quicker, and simpler than tissue culture-based transformation methods. Vacuum infiltration, injection of Agrobacterium culture to plant tissues, pollen-tube pathway, floral dip and floral spray are the main methods of in planta transformation. Each of these methods has its own advantages and disadvantages. Simplicity and reliability are the primary reasons for the popularity of the in planta methods. These methods are much quicker than regular tissue culture-based Agrobacterium-mediated gene transformation and success can be achieved by non-experts. In the present review, we highlight all methods of in planta transformation comparing them with regular tissue culture-based Agrobacterium-mediated transformation methods and then recently successful transformations using these methods are presented.

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6

Adem, Alejandro. "COHOMOLOGICAL METHODS IN TRANSFORMATION GROUPS." Bulletin of the London Mathematical Society 27, no. 4 (July 1995): 409–10. http://dx.doi.org/10.1112/blms/27.4.409.

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7

Nicolet, A., J. ‐F Remacle, B. Meys, A. Genon, and W. Legros. "Transformation methods in computational electromagnetism." Journal of Applied Physics 75, no. 10 (May 15, 1994): 6036–38. http://dx.doi.org/10.1063/1.355500.

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8

Mas, M., M. Monserrat, and J. Torrens. "Relevancy transformation operators: Construction methods." International Journal of Intelligent Systems 21, no. 2 (2005): 155–71. http://dx.doi.org/10.1002/int.20125.

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9

Pawlak, Robert. "Implementation aspects of agile methods in large organizations." e-mentor 90, no. 3 (July 2021): 64–72. http://dx.doi.org/10.15219/em90.1523.

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Анотація:

The aim of this article is to analyze the challenges and success factors on organizations’ path to agile transformation, as frequently discussed in the literature and encountered in business practice. The research conducted proved that large-scale agile transformations require a dedicated approach with set of tools and best practices in place. The implementation challenges and barriers have been categorized into method-, organization-, culture- and technology-oriented groups. As a result of an in-depth analysis carried on for the purpose of this paper, a dedicated methodology of agile transformation has been proposed to ease the implementation process.

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10

Kurkin, A. S. "Study of isothermal decomposition of austenite using methods of mathematical modeling." Industrial laboratory. Diagnostics of materials 87, no. 6 (June 18, 2021): 25–32. http://dx.doi.org/10.26896/1028-6861-2021-87-6-25-32.

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The capabilities of the numerical simulation of technological processes are limited by the accuracy and efficiency of determining the properties of materials which continuously change with repeated heating and cooling. The parameters of structural transformations are the principal factors affecting the properties of alloyed steels. We present a method for determining the parameters of formulas describing C-shaped curves of experimental diagrams of isothermal decomposition of austenite. The proposed approach makes it possible to reconstruct the entire C-shaped curve using a relatively small fragment near the «nose» (by three points). Joint processing of a series of curves provided determination of the parameters of ferritic, pearlitic and bainitic transformation kinetics. However, it is important to take into account the features of the diffusion decomposition of austenite. For example, ferrite and pearlite are formed in overlapping temperature ranges and have similar mechanical properties, but their combining into a single ferrite-pearlite structure complicates the construction of a mathematical model of transformation. The bainitic transformation has a transient character from diffusion to diffusionless one. As for the transformation temperature range, the limiting degree is a function of temperature (as in the case of martensitic transformation). It was shown that for ferrite-pearlite transformation the best results are obtained by the Kolmogorov – Avrami equation, and for the bainitic one — by the Austin – Rickett equation modified with allowance for an incomplete transformation.

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11

Varouchakis, Emmanouil A. "Gaussian Transformation Methods for Spatial Data." Geosciences 11, no. 5 (May 1, 2021): 196. http://dx.doi.org/10.3390/geosciences11050196.

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Data gaussianity is an important tool in spatial statistical modeling as well as in experimental data analysis. Usually field and experimental observation data deviate significantly from the normal distribution. This work presents alternative methods for data transformation and revisits the applicability of a modified version of the well-known Box-Cox technique. The recently proposed method has the significant advantage of transforming negative sign (fluctuations) data in advance to positive sign ones. Fluctuations derived from data detrending cannot be transformed using common methods. Therefore, the Modified Box-Cox technique provides a reliable solution. The method was tested in average rainfall data and detrended rainfall data (fluctuations), in groundwater level data, in Total Organic Carbon wt% residuals and using random number generator simulating potential experimental results. It was found that the Modified Box-Cox technique competes successfully in data transformation. On the other hand, it improved significantly the normalization of negative sign data or fluctuations. The coding of the method is presented by means of a Graphical User Interface format in MATLAB environment for reproduction of the results and public access.

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12

Griepentrog, Eberhard. "Transformation methods for differential-algebraic equations." Banach Center Publications 24, no. 1 (1990): 223–31. http://dx.doi.org/10.4064/-24-1-223-231.

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13

Keshavareddy, G., A. R. V. Kumar, and Vemanna S. Ramu. "Methods of Plant Transformation- A Review." International Journal of Current Microbiology and Applied Sciences 7, no. 07 (July 10, 2018): 2656–68. http://dx.doi.org/10.20546/ijcmas.2018.707.312.

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14

Kollo, Karin. "Two alternative methods for height transformation." Geodesy and Cartography 34, no. 1 (January 2008): 5–11. http://dx.doi.org/10.3846/1392-1541.2008.34.5-11.

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15

Hofmann, Nancy R. "A Breakthrough in Monocot Transformation Methods." Plant Cell 28, no. 9 (September 2016): 1989. http://dx.doi.org/10.1105/tpc.16.00696.

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16

Phillips-Jones, Mary K. "Plasmid transformation ofClostridium perfringensby electroporation methods." FEMS Microbiology Letters 66, no. 1-3 (January 1990): 221–26. http://dx.doi.org/10.1111/j.1574-6968.1990.tb04000.x.

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17

Gorbunova, Tat'yana I., Viktor I. Saloutin, and Oleg N. Chupakhin. "Chemical methods of transformation of polychlorobiphenyls." Russian Chemical Reviews 79, no. 6 (August 12, 2010): 511–30. http://dx.doi.org/10.1070/rc2010v079n06abeh004047.

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18

Rivera, Ana Leonor, Miguel Gómez-Lim, Francisco Fernández, and Achim M. Loske. "Physical methods for genetic plant transformation." Physics of Life Reviews 9, no. 3 (September 2012): 308–45. http://dx.doi.org/10.1016/j.plrev.2012.06.002.

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19

Woodward, E. V., R. Bowers, V. S. Thio, K. Johnson, M. Srihari, and C. J. Bracht. "Agile methods for software practice transformation." IBM Journal of Research and Development 54, no. 2 (March 2010): 3:1–3:12. http://dx.doi.org/10.1147/jrd.2009.2038749.

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20

Kusiak, A. "Feature transformation methods in data mining." IEEE Transactions on Electronics Packaging Manufacturing 24, no. 3 (July 2001): 214–21. http://dx.doi.org/10.1109/6104.956807.

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21

Fazio, Riccardo. "Numerical transformation methods: a constructive approach." Journal of Computational and Applied Mathematics 50, no. 1-3 (May 1994): 299–303. http://dx.doi.org/10.1016/0377-0427(94)90308-5.

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22

Rogers, Stephen G. "Free DNA methods for plant transformation." Current Opinion in Biotechnology 2, no. 2 (April 1991): 153–57. http://dx.doi.org/10.1016/0958-1669(91)90003-n.

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23

Teixeira da Silva, Jaime A., Judit Dobránszki, Jean Carlos Cardoso, Stephen F. Chandler, and Songjun Zeng. "Methods for genetic transformation in Dendrobium." Plant Cell Reports 35, no. 3 (January 2, 2016): 483–504. http://dx.doi.org/10.1007/s00299-015-1917-3.

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24

Price, Dionne L., and Amita K. Manatunga. "Modelling relative survival using transformation methods." Statistics in Medicine 23, no. 15 (July 19, 2004): 2463–77. http://dx.doi.org/10.1002/sim.1832.

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25

Jaros, Rene, Radek Martinek, and Lukas Danys. "Comparison of Different Electrocardiography with Vectorcardiography Transformations." Sensors 19, no. 14 (July 11, 2019): 3072. http://dx.doi.org/10.3390/s19143072.

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This paper deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides better sensitivity, for example for the detection of myocardial infarction, ischemia, and hypertrophy. However, in clinical practice, measurement of VCG is not usually used because it requires additional electrodes placed on the patient’s body. Instead, mathematical transformations are used for deriving VCG from 12-leads ECG. In this work, Kors quasi-orthogonal transformation, inverse Dower transformation, Kors regression transformation, and linear regression-based transformations for deriving P wave (PLSV) and QRS complex (QLSV) are implemented and compared. These transformation methods were not yet compared before, so we have selected them for this paper. Transformation methods were compared for the data from the Physikalisch-Technische Bundesanstalt (PTB) database and their accuracy was evaluated using a mean squared error (MSE) and a correlation coefficient (R) between the derived and directly measured Frank’s leads. Based on the statistical analysis, Kors regression transformation was significantly more accurate for the derivation of the X and Y leads than the others. For the Z lead, there were no statistically significant differences in the medians between Kors regression transformation and the PLSV and QLSV methods. This paper thoroughly compared multiple VCG transformation methods to conventional VCG Frank’s orthogonal lead system, used in clinical practice.

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26

Luh, Wei-Ming, and Jiin-Huarng Guo. "Transformation works for non-normality? On one-sample transformation trimmed t methods." British Journal of Mathematical and Statistical Psychology 54, no. 2 (November 2001): 227–36. http://dx.doi.org/10.1348/000711001159537.

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27

Meng, Fanwen, Jacqueline Jonklaas, and Melvin Khee-Shing Leow. "Interconversion of Plasma Free Thyroxine Values from Assay Platforms with Different Reference Intervals Using Linear Transformation Methods." Biology 10, no. 1 (January 11, 2021): 45. http://dx.doi.org/10.3390/biology10010045.

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Clinicians often encounter thyroid function tests (TFT) comprising serum/plasma free thyroxine (FT4) and thyroid stimulating hormone (TSH) measured using different assay platforms during the course of follow-up evaluations which complicates reliable comparison and interpretation of TFT changes. Although interconversion between concentration units is straightforward, the validity of interconversion of FT4/TSH values from one assay platform to another with different reference intervals remains questionable. This study aims to establish an accurate and reliable methodology of interconverting FT4 by any laboratory to an equivalent FT4 value scaled to a reference range of interest via linear transformation methods. As a proof-of-concept, FT4 was simultaneously assayed by direct analog immunoassay, tandem mass spectrometry and equilibrium dialysis. Both linear and piecewise linear transformations proved relatively accurate for FT4 inter-scale conversion. Linear transformation performs better when FT4 are converted from a more accurate to a less accurate assay platform. The converse is true, whereby piecewise linear transformation is superior to linear transformation when converting values from a less accurate method to a more robust assay platform. Such transformations can potentially apply to other biochemical analytes scale conversions, including TSH. This aids interpretation of TFT trends while monitoring the treatment of patients with thyroid disorders.

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28

Meng, Fanwen, Jacqueline Jonklaas, and Melvin Khee-Shing Leow. "Interconversion of Plasma Free Thyroxine Values from Assay Platforms with Different Reference Intervals Using Linear Transformation Methods." Biology 10, no. 1 (January 11, 2021): 45. http://dx.doi.org/10.3390/biology10010045.

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Анотація:

Clinicians often encounter thyroid function tests (TFT) comprising serum/plasma free thyroxine (FT4) and thyroid stimulating hormone (TSH) measured using different assay platforms during the course of follow-up evaluations which complicates reliable comparison and interpretation of TFT changes. Although interconversion between concentration units is straightforward, the validity of interconversion of FT4/TSH values from one assay platform to another with different reference intervals remains questionable. This study aims to establish an accurate and reliable methodology of interconverting FT4 by any laboratory to an equivalent FT4 value scaled to a reference range of interest via linear transformation methods. As a proof-of-concept, FT4 was simultaneously assayed by direct analog immunoassay, tandem mass spectrometry and equilibrium dialysis. Both linear and piecewise linear transformations proved relatively accurate for FT4 inter-scale conversion. Linear transformation performs better when FT4 are converted from a more accurate to a less accurate assay platform. The converse is true, whereby piecewise linear transformation is superior to linear transformation when converting values from a less accurate method to a more robust assay platform. Such transformations can potentially apply to other biochemical analytes scale conversions, including TSH. This aids interpretation of TFT trends while monitoring the treatment of patients with thyroid disorders.

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29

EVBINUMA, H., E. MATSUNAGA, K. YAMADA, S. ENDO, and K. SUGITA. "Improvement of transformation methods using MAT vectors." Plant Biotechnology 16, Supplement (1999): 1–2. http://dx.doi.org/10.5511/plantbiotechnology.16.supplement_1.

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30

Kalefetoğlu Macar1, Tuğçe, Oksal Macar, Emine Yalçın, and Kültiğin Çavuşoğlu. "Gene Technology and Plant Genetic Transformation Methods." Afyon Kocatepe University Journal of Sciences and Engineering 17, no. 2 (August 1, 2017): 377–92. http://dx.doi.org/10.5578/fmbd.58669.

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31

Güllü, Mevlüt, Ekrem Tuşat, Tamer Baybura, and Bayram Turgut. "Investigation of Three Dimensional Coordinate Transformation Methods." Afyon Kocatepe University Journal of Sciences and Engineering 18, no. 1 (April 1, 2018): 250–55. http://dx.doi.org/10.5578/fmbd.66875.

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32

KONDRATIEV, V. P. "BUREAUCRACY AND METHODS OF ITS MANAGED TRANSFORMATION." Central Russian Journal of Social Sciences 12, no. 3 (2017): 234–39. http://dx.doi.org/10.22394/2071-2367-2017-12-3-234-239.

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33

Kalligeris, Emmanouil-Nektarios, Alex Karagrigoriou, Kostantinos Ladopoulos, and Christina Parpoula. "Adjusted Transformation Methods for Reproduction Quality Control." Journal of Mathematics and Statistics 15, no. 1 (January 1, 2019): 273–79. http://dx.doi.org/10.3844/jmssp.2019.273.279.

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34

Horváth, Illés, András Mészáros, and Miklós Telek. "Numerical Inverse Transformation Methods for Z-Transform." Mathematics 8, no. 4 (April 10, 2020): 556. http://dx.doi.org/10.3390/math8040556.

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Numerical inverse Z-transformation (NIZT) methods have been efficiently used in engineering practice for a long time. In this paper, we compare the abilities of the most widely used NIZT methods, and propose a new variant of a classic NIZT method based on contour integral approximation, which is efficient when the point of interest (at which the value of the function is needed) is smaller than the order of the NIZT method. We also introduce a vastly different NIZT method based on concentrated matrix geometric (CMG) distributions that tackles the limitations of many of the classic methods when the point of interest is larger than the order of the NIZT method.

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35

Foster, Andrew, and Melusi Khumalo. "TRANSFORMATION OF LOCAL BIFURCATIONS UNDER COLLOCATION METHODS." Journal of the Korean Mathematical Society 48, no. 6 (November 1, 2011): 1101–23. http://dx.doi.org/10.4134/jkms.2011.48.6.1101.

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36

Akyilmaz, O., M. T. Özlüdemir, T. Ayan, and R. N. Çelik. "Soft computing methods for geoidal height transformation." Earth, Planets and Space 61, no. 7 (July 2009): 825–33. http://dx.doi.org/10.1186/bf03353193.

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37

Adem, Alejandro. "Book Review: Cohomological methods in transformation groups." Bulletin of the American Mathematical Society 31, no. 2 (October 1, 1994): 254–58. http://dx.doi.org/10.1090/s0273-0979-1994-00524-5.

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38

Sarach, Evgeniy, George Kotiev, and Sergey Beketov. "Methods for road microprofile statistical data transformation." MATEC Web of Conferences 224 (2018): 04009. http://dx.doi.org/10.1051/matecconf/201822404009.

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Анотація:

In the paper presents methods for road microprofile statistical data transformation. These methods can be used to solve suspension theory problems related to rapidity functions determination using velocity characteristics and transport vehicle movement imitational modeling via microprofile random function trajectory.

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39

Muir, Jerry R. "Linear Fractional Transformation Methods in $ {\shadC}^n $." Complex Variables, Theory and Application: An International Journal 48, no. 1 (January 2003): 69–81. http://dx.doi.org/10.1080/0278107021000031138.

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40

McInnes, Colin R. "Nonlinear transformation methods for gravity-turn descent." Journal of Guidance, Control, and Dynamics 19, no. 1 (January 1996): 247–48. http://dx.doi.org/10.2514/3.21607.

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41

Marler, R. Timothy, and Jasbir S. Arora. "Function-transformation methods for multi-objective optimization." Engineering Optimization 37, no. 6 (September 2005): 551–70. http://dx.doi.org/10.1080/03052150500114289.

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42

Rivera, Ana Leonor, Miguel Gómez-Lim, Francisco Fernández, and Achim M. Loske. "Physical methods for genetic transformation in plants." Physics of Life Reviews 9, no. 3 (September 2012): 352. http://dx.doi.org/10.1016/j.plrev.2012.08.004.

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43

Salafsky, B., A. C. Fusco, K. Whitley, D. Nowicki, and B. Ellenberger. "Schistosoma mansoni: Analysis of cercarial transformation methods." Experimental Parasitology 67, no. 1 (October 1988): 116–27. http://dx.doi.org/10.1016/0014-4894(88)90014-8.

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44

Edelen, Dominic G. B., and Jianhua Wang. "Transformation methods for solving nonlinear field equations." International Journal of Theoretical Physics 30, no. 6 (June 1991): 865–906. http://dx.doi.org/10.1007/bf00674028.

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45

Lazarev, A. G. "Group-theoretical principles of data transformation methods." Cybernetics and Systems Analysis 28, no. 4 (1993): 632–36. http://dx.doi.org/10.1007/bf01125000.

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46

Sologub, R. A. "Methods of the nonlinear regression model transformation." Machine Learning and Data Analysis 1, no. 14 (2015): 1961–76. http://dx.doi.org/10.21469/22233792.1.14.06.

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47

Siddiqui, A. M., P. N. Kaloni, and O. P. Chandna. "Hodograph transformation methods in non-Newtonian fluids." Journal of Engineering Mathematics 19, no. 3 (1985): 203–16. http://dx.doi.org/10.1007/bf00042534.

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48

Kang, Da hye, and Woon Seung Yeo. "A Study of Remix Music’s Transformation Methods." Korean Association for the Study of Popular Music 30 (November 30, 2022): 9–37. http://dx.doi.org/10.36775/kjpm.2022.30.9.

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Анотація:

The act of remixing to create a new cultural product by reconstructing an existing one is being performed in almost all cultural content fields today. Even so, although the remix concept originated in the musical field, theoretical discussion concerning its reconstruction principles in popular music compared to other genres is lacking. This paper analyzes the methods of transforming original songs in remixing. Furthermore, it presents a theoretical basis for its systematic understanding. Ninety-four previously released popular music remixes were selected and compared with the original songs in terms of musical elements, thereby identifying representative types of reconstruction as a new standard for remix music creation. This comparison is then further studied to explore whether applying analytical methods of literary works allows for a deeper understanding of the musical remix process. As a result, musical remix types were categorized as either 1) an “expansion” process that preserves the original accompaniment (i.e., background) and transforms the vocal composition, or 2) a “transposition” process that creates a new accompaniment while preserving the original vocals (i.e., characters). Based on this finding, musical remixing could be described as preserving either the vocals or the accompaniment of the original song while completely transforming the other element. Thus, it maintains the original piece’s identity and aura but simultaneously reveals the difference. These results identify types of remixing popular music based on principles borrowed from a non-musical genre. Furthermore, they analyze existing types and suggest systematic strategies for creating new ones.

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Sempio, J. N. H., R. K. D. Aranas, B. P. Lim, B. J. Magallon, M. E. A. Tupas, and I. A. Ventura. "ASSESSMENT OF DIFFERENT IMAGE TRANSFORMATION METHODS ON DIWATA-1 SMI IMAGES USING STRUCTURAL SIMILARITY MEASURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (December 23, 2019): 393–400. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-393-2019.

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Abstract. This paper aims to provide a qualitative assessment of different image transformation parameters as applied on images taken by the spaceborne multispectral imager (SMI) sensor installed in Diwata-1, the Philippines’ first Earth observation microsatellite, with the aim of determining the order of transformation that is sufficient for operationalization purposes. Images of the Palawan area were subjected to different image transformations by manual georeferencing using QGIS 3, and cloud masks generated and applied to remove the effects of clouds. The resulting images were then subjected to structural similarity (SSIM) tests using resampled and cloud masked Landsat 8 images of the same area to generate SSIM indices, which are then used as a quantitative means to assess the best performing transformation. The results of this study point to all transformed images having good SSIM ratings with their Landsat 8 counterparts, indicating that features shown in a Diwata-1 SMI image are structurally similar to the same features in a resampled Landsat 8 data. This implies that for Diwata-1 data processing operationalization purposes, higher order transformations, with the necessary effort to implement them, offer little advantage to lower order counterparts.

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Qiang, Xinjian. "Technical methods for accelerating digital transformation of Chinese enterprises." MATEC Web of Conferences 336 (2021): 09024. http://dx.doi.org/10.1051/matecconf/202133609024.

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Chinese enterprises are facing the opportunity of digital transformation, and all enterprises are advancing in exploration. This paper introduces the trend and challenge of digital transformation of Chinese enterprises. This paper expounds the digital transformation strategy of enterprises as the center. This paper discusses the four development processes of enterprise digital transformation, including digital empowerment, process optimization, digital transformation and digital reengineering. This paper puts forward the methods that Chinese enterprises should adopt in the process of transformation. First of all, the digital transformation of enterprises should be scientifically planned. Then select pilot projects in enterprises and try them out first. After that, the trial effect was evaluated. After summarizing and improving, copy and enlarge the scope. Finally, optimize the operation of the enterprise, and constantly adjust.

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