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Journal articles on the topic 'Excel'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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1

Ayer, Ganesh. "Excel in Excel®!*." Energy Engineering 112, no. 2 (February 2015): 14–25. http://dx.doi.org/10.1080/01998595.2015.11090950.

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Ayer, Ganesh. "Excel in Excel®!*." Energy Engineering 112, no. 3 (March 2015): 22–32. http://dx.doi.org/10.1080/01998595.2015.11414490.

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Ayer, Ganesh. "Excel in Excel®!*." Energy Engineering 112, no. 4 (April 2015): 50–61. http://dx.doi.org/10.1080/01998595.2015.11435394.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 1 (November 23, 2015): 53–65. http://dx.doi.org/10.1080/01998595.2016.11657082.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 2 (December 29, 2015): 63–74. http://dx.doi.org/10.1080/01998595.2016.11668653.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 4 (April 22, 2016): 26–40. http://dx.doi.org/10.1080/01998595.2016.11728655.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 5 (July 2016): 18–28. http://dx.doi.org/10.1080/01998595.2016.11744689.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 1 (November 11, 2016): 19–38. http://dx.doi.org/10.1080/01998595.2017.11810159.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 2 (January 17, 2017): 56–65. http://dx.doi.org/10.1080/01998595.2017.11833485.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 5 (May 2017): 8–17. http://dx.doi.org/10.1080/01998595.2017.11882306.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 6 (September 2017): 7–12. http://dx.doi.org/10.1080/01998595.2017.11907869.

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12

Parramore, Keith. "Enlisting Excel." Teaching Mathematics and its Applications: An International Journal of the IMA 26, no. 2 (June 1, 2007): 73–78. http://dx.doi.org/10.1093/teamat/hrl011.

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13

Barreto, Humberto. "Why Excel?" Journal of Economic Education 46, no. 3 (June 30, 2015): 300–309. http://dx.doi.org/10.1080/00220485.2015.1029177.

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Oliphant, Alan S. "Excel 4.0." Computer Audit Update 1992, no. 6 (June 1992): 13–15. http://dx.doi.org/10.1016/0960-2593(92)90069-y.

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15

Facchetti, Antonio. "Gels excel." Nature Materials 7, no. 11 (November 2008): 839–40. http://dx.doi.org/10.1038/nmat2310.

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16

Riley, Barbara L., Steve Manske, and Roy Cameron. "Youth excel." Cancer 117, S10 (April 26, 2011): 2281–88. http://dx.doi.org/10.1002/cncr.26046.

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17

Zsakó, László. "Combinatorics – competition – Excel." Teaching Mathematics and Computer Science 4, no. 2 (2006): 427–35. http://dx.doi.org/10.5485/tmcs.2006.0144.

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18

Myers, Joan. "Striving to excel." Nursing Children and Young People 25, no. 8 (October 2013): 38. http://dx.doi.org/10.7748/ncyp2013.10.25.8.38.s25.

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19

Jones, Alfred, Philip D. Dukes, James M. Schalk, and Max G. Hamilton. "‘Excel’ Sweet Potato." HortScience 24, no. 1 (February 1989): 171–72. http://dx.doi.org/10.21273/hortsci.24.1.171.

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Abstract ‘Excel’ sweet potato [Ipomoea batatas (L.) Lam.] was developed jointly by the USDA and the South Carolina Agricultural Experiment Station. This cultivar has high yield and excellent baking flavor, in combination with high levels of resistance to a wide array of disease and insect pests. Additionally, it has promise for use in snack foods.

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Tiwari, Rajesh Kumar, and G. Sahoo. "Microsoft Excel File." International Journal of Digital Crime and Forensics 3, no. 1 (January 2011): 37–52. http://dx.doi.org/10.4018/jdcf.2011010103.

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Data hiding is emerging as an important area of research with the advent of digital technologies. Watermarking, fingerprinting and steganography are important applications of data hiding techniques. Besides the classical use of data hiding in ownership protection, authentication and copy/access control, it serves as a general tool to convey side information. New files are a good choice for steganographic carriers. In this paper, the authors use Microsoft Excel as a cover file. A methodology has been developed that consists of three techniques for embedding the valuable data with three layers of security and high robustness. The resultant stego Excel file can be transmitted anywhere using any channel. Experimental results show the feasibility of the proposed methodology.

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21

Siegle, Joseph T., Michael M. Weinstein, and Morton H. Halperin. "Why Democracies Excel." Foreign Affairs 83, no. 5 (2004): 57. http://dx.doi.org/10.2307/20034067.

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22

Parramore, K. "Enlisting excel--again." Teaching Mathematics and its Applications 28, no. 1 (October 19, 2008): 32–37. http://dx.doi.org/10.1093/teamat/hrp004.

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23

Christie, Derek. "Resampling with Excel." Teaching Statistics 26, no. 1 (February 2004): 9–14. http://dx.doi.org/10.1111/j.1467-9639.2004.00136.x.

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24

Gates, S. J., and C. Mirkin. "Engage to Excel." Science 335, no. 6076 (March 29, 2012): 1545. http://dx.doi.org/10.1126/science.1222058.

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Berger, Nevin. "The Excel Story." Interactions 13, no. 1 (January 2006): 14–17. http://dx.doi.org/10.1145/1109069.1109084.

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26

Grove, Dana. "Project EXCEL-lence." Community College Journal of Research and Practice 29, no. 8 (September 2005): 637–38. http://dx.doi.org/10.1080/10668920591005549.

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27

Baumann, Knut. "Accord for Excel." Journal of Chemical Information and Computer Sciences 37, no. 2 (March 1997): 413–14. http://dx.doi.org/10.1021/ci9501960.

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28

Hunt, Neville. "Pictograms in Excel." Teaching Statistics 22, no. 2 (June 2000): 56–58. http://dx.doi.org/10.1111/1467-9639.00020.

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29

Al-Ubaydli, Mohammad. "Using Microsoft Excel." BMJ 330, no. 7481 (January 1, 2005): s7. http://dx.doi.org/10.1136/bmj.329.7481.s7.

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30

Zetie, K. P. "Animations in Excel." Physics Education 38, no. 2 (March 1, 2003): 102–3. http://dx.doi.org/10.1088/0031-9120/38/2/405.

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31

Balik, Robert J. "Excel best practices." Managerial Finance 35, no. 5 (April 10, 2009): 410–26. http://dx.doi.org/10.1108/03074350910949781.

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32

Hampel, György. "Excel alkalmazása normális eloszlás tesztelésére Shapiro-Wilk próbával." Jelenkori Társadalmi és Gazdasági Folyamatok 13, no. 1-2 (January 1, 2018): 77–82. http://dx.doi.org/10.14232/jtgf.2018.1-2.77-82.

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A Microsoft Excel Visual Basic fór Application programok segítségével nagyméretű adathalmazok szűrésével kapott adatsorain képes programozottan megismételni a számításokat. Több statisztikai programmal tudnánk a Shapiro-Wilk próbát alkalmazni normális eloszlás ellenőrzésére, de programozható módon erre csak az Excelt használhatjuk. Az Excel táblázatkezelő program segítségével felhasználóbarát kezelőfelületet alakítunk ki a számítások automatizált elvégzéséhez.

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33

KATAOKA, Yosuke, and Yuri YAMADA. "Molecular Dynamics by EXCEL." Journal of Computer Chemistry, Japan 14, no. 1 (2015): 18–21. http://dx.doi.org/10.2477/jccj.2015-0001.

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34

Abbott, Steve, and John Shannon. "Excel for Business Mathematics." Mathematical Gazette 83, no. 496 (March 1999): 150. http://dx.doi.org/10.2307/3618715.

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35

Setiyanto, Sigit, and Ismail Setiawan. "Data Science With Excel." International Journal of Computer and Information System (IJCIS) 3, no. 3 (August 11, 2022): 104–10. http://dx.doi.org/10.29040/ijcis.v3i3.79.

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The stages in data science consist of several stages, one of which is data preparation. At this stage, many things are done so that the dirty data becomes clean data that is ready for modeling. Many applications offer data science convenience in terms of processing data. One of them is excel, this application from Microsoft can perform data processing so that the data is ready for modeling. However, there are limitations in using excel. The maximum number of rows that excel has is only 1,048,576 and the number of columns is 16,384. However, if you process data of no more than 1 million rows, excel can still handle it by using features such as error detection, removing duplicate data, correcting error values, detecting outlier values, handling missing data and validating data. This study shows some of these features along with examples of their use.

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36

Rasmusson, D. C., R. D. Wilcoxson, and J. V. Wiersma. "Registration of ‘Excel’ Barley." Crop Science 31, no. 1 (January 1991): 227. http://dx.doi.org/10.2135/cropsci1991.0011183x003100010050x.

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37

Chao, K. S. Clifford. "Transform today, excel tomorrow." Therapeutic Radiology and Oncology 1 (2017): 1. http://dx.doi.org/10.21037/tro.2017.08.01.

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38

Sastry, M. V. "Make Your Team Excel." Review of Professional Management- A Journal of New Delhi Institute of Management 6, no. 2 (December 1, 2008): 106. http://dx.doi.org/10.20968/rpm/2008/v6/i2/100963.

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39

Moon, J. R. A. "Excel 410 anaesthetic machine." Anaesthesia 44, no. 2 (February 1989): 177–78. http://dx.doi.org/10.1111/j.1365-2044.1989.tb11209.x.

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40

Littlefield, Stan. "Software Reviews : EXCEL (Macintosh)." Social Science Microcomputer Review 4, no. 2 (July 1986): 264–65. http://dx.doi.org/10.1177/089443938600400226.

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41

&NA;. "EXCEL III study results." Inpharma Weekly &NA;, no. 805 (September 1991): 16–17. http://dx.doi.org/10.2165/00128413-199108050-00042.

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42

Sdvizhkov, O. A. "APPLICATION EXCEL FOR KINEMATICS." Physics in School, no. 7 (2020): 30–39. http://dx.doi.org/10.47639/0130-5522_2020_7_30.

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43

Baum, Eric B., Dan Boneh, and Charles Garrett. "Where Genetic Algorithms Excel." Evolutionary Computation 9, no. 1 (March 2001): 93–124. http://dx.doi.org/10.1162/10636560151075130.

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We analyze the performance of a genetic algorithm (GA) we call Culling, and a variety of other algorithms, on a problem we refer to as the Additive Search Problem (ASP). We show that the problem of learning the Ising perceptron is reducible to a noisy version of ASP. Noisy ASP is the first problem we are aware of where a genetic-type algorithm bests all known competitors. We generalize ASP to k-ASP to study whether GAs will achieve “implicit parallelism” in a problem with many more schemata. GAs fail to achieve this implicit parallelism, but we describe an algorithm we call Explicitly Parallel Search that succeeds. We also compute the optimal culling point for selective breeding, which turns out to be independent of the fitness function or the population distribution. We also analyze a mean field theoretic algorithm performing similarly to Culling on many problems. These results provide insight into when and how GAs can beat competing methods.

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44

Erb, Tom. "Blending opposites to Excel." Middle School Journal 26, no. 4 (March 1995): 2. http://dx.doi.org/10.1080/00940771.1995.11496116.

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45

Loyson, Peter. "Teaching Kinetics Using Excel." Journal of Chemical Education 87, no. 9 (September 2010): 998. http://dx.doi.org/10.1021/ed1005739.

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46

OAKEY, DAVID. "Excel at Academic English." ReCALL 12, no. 2 (November 2000): 221–22. http://dx.doi.org/10.1017/s0958344000230929.

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47

Rocheta, Margarida, F. Miguel Dionísio, Luís Fonseca, and Ana M. Pires. "Paternity analysis in Excel." Computer Methods and Programs in Biomedicine 88, no. 3 (December 2007): 234–38. http://dx.doi.org/10.1016/j.cmpb.2007.08.005.

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48

Lafever, Howard N., and William A. Berzonsky. "Registration of ‘Excel’ Wheat." Crop Science 33, no. 3 (May 1993): 648. http://dx.doi.org/10.2135/cropsci1993.0011183x003300030050x.

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49

Rakow, G. "AC Excel summer rape." Canadian Journal of Plant Science 73, no. 1 (January 1, 1993): 183–84. http://dx.doi.org/10.4141/cjps93-028.

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AC Excel summer rape (Brassica napus L.), registered in 1990, is a canola-quality cultivar that combines high seed yield with high oil content and early to medium maturity. AC Excel is moderately susceptible to blackleg. It is well adapted to the B. napus growing areas of western Canada. Key words: Rape (summer), cultivar description

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50

Jackson, Steven F. "Political Simulations Using Excel." Journal of Political Science Education 9, no. 2 (April 2013): 209–21. http://dx.doi.org/10.1080/15512169.2013.770991.

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