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Books on the topic 'Grout modelling'

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Published: 9 March 2023
Last updated: 10 March 2023

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1

Dutré, W. L. European modelling group for solar systems. Luxembourg: Commission of the European Communities, 1986.

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2

David, Porter. Group interaction modelling of polymer properties. New York: M. Dekker, 1995.

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3

Debosscher, A. European modelling group for solar systems. Luxembourg: Commission of the EuropeanCommunities, 1985.

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4

National Institute of Hydrology (India), ed. Mathematical modelling of flow from a group of springs. Roorkee, U.P., India: National Institute of Hydrology, 1993.

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5

Bogner, William C. Modelling competitive dynamics of strategic group impacts on strategy forumlation. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1990.

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6

Balslev-Olesen, O. European modelling group solar space heating and domestic hot water systems. Luxembourg: Commission of the European Communities, 1985.

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7

Lockett, Alan Geoffrey. An application of judgmental modelling in the social services. Manchester: Manchester Business School, 1993.

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8

H, LeBlond Paul, Endoh Masahiro, and North Pacific Marine Science Organization., eds. Modelling of the subarctic North Pacific circulation (report of Working Group 7). Sidney, B.C: North Pacific Marine Science Organization, 1996.

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9

Grassini, Maurizio, and Rossella Bardazzi, eds. Structural changes, international trade and multisectoral modelling. Florence: Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-740-9.

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In September 2007 the national team members of the International Inforum (Interindustry Forecasting Project at the University of Maryland) group held the XV annual World Conference in Truijllo, Spain. Such Conferences offer the participants to report their achievements in the different fields concerning the macroeconomic multisectoral modeling approach and data development. The national partners build their country model based on a common input-output accounting structure and a similar econometric modeling approach for sectoral and macroeconomic variables. In each Conference, the contributions refer to the wide spectrum of research activities carried on within the Inforum system of models.
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10

P, Odekerken M. E., Schmeets J. J. G, and Pol, F. J. R. van de., eds. Developments and applications in structural equation modelli ng: Proceedings of the twelfth meeting of the "Working group structural equation modelling" ("A G Strukturgleichungsmodelle"). Amsterdam: Sociometric Research Foundation, 1991.

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11

WCRP Steering Group on Global Climate Modelling. Session. Global Climate Modelling: Report of first session of WCRP Steering Group on Global Climate Modelling, Geneva, Switzerland, 5-8 November 1990. [Geneva, Switzerland]: World Meteorological Organization, 1991.

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12

Group, Alberta Alberta Environmental Protection Model Modification Task. Dispersion Modelling Modification Task Group recommendation report for the Alberta air quality guidelines. Edmonton]: Model Modification Task Group, 1999.

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13

Protection, Alberta Alberta Environmental. Dispersion modelling modification task group recommendation report for the Alberta air quality guidelines. [Edmonton: Alberta Environmental Protection], 1999.

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14

Biondo, A. European modelling group for SHS and DHW: Final report of the Italian participation. Luxembourg: Commission of the European Communities, 1985.

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15

Session, WCRP Steering Group on Global Climate Modelling. Global climate modelling: Report of second session of WCRP Steering Group on Global Climate Modelling, Bristol, United Kingdom, 18-20 November 1991. [Geneva, Switzerland]: World Meteorological Organization, 1992.

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16

Group, Canadian Forest Service Modelling Working. Canadian Forest Service Modelling Working Group: Proceedings of the ninth annual meeting and workshop. St. John's: Canadian Forest Service, Newfoundland & Labrador Region, 1995.

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17

Jaap, Spronk, and Matarazzo Benedetto, eds. Modelling for financial decisions: Proceedings of the 5th meeting of the EURO Working Group on "Financial Modelling" held in Catania, 20-21 April, 1989. Berlin: Springer-Verlag, 1991.

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18

Ibragimov, Nail H. Selected works: MSc and PhD theses. Nonlocal symmetries, Approximate symmetries, Preliminary group classification, Lie group analysis - a microscope of mathematical modelling. Karlskrona: ALGA Publications, 2006.

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19

Pollini, Gabriele. Appartenenza e identità: Analisi sociologica dei modelli di appartenenza sociale. Milano, Italy: F. Angeli, 1987.

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20

J, Caldwell, and Bradley R, eds. Industrial vibration modelling: Proceedings of Polymodel 9, the Ninth Annual Conference of North East Polytechnics Mathematical Modelling & Computer Simulation Group, Newcastle upon Tyne, UK, May 21-22, 1986. Dordrecht: M. Nijhoff, 1987.

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21

Caldwell, J. Industrial Vibration Modelling: Proceedings of Polymodel 9, the Ninth Annual Conference of the North East Polytechnics Mathematical Modelling & Computer Simulation Group, Newcastle upon Tyne, UK, May 21-22, 1986. Dordrecht: Springer Netherlands, 1986.

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22

Group, Biosphere Modelling and Assessment Programme (International Atomic Energy Agency) Tritium Working. Modelling the environmental transport of tritium in the vicinity of long term atmospheric and sub-surface sources: Report of the Tritium Working Group of the Biosphere Modelling and Assessment (BIOMASS) Programme, theme 3. Vienna, Austria: International Atomic Energy Agency, 2003.

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23

Canadian Meteorological Centre (Downsview, Ont.) and Canada. Dept. of Foreign Affairs and International Trade. Verification Research Program., eds. Informal meeting to discuss the application of atmospheric modelling to CTBT verification: Group report and proceedings : Montréal, Canada, October 15-16, 1996. [Ottawa, Canada: Environment Canada, Canadian Meteorological Centre, 1997.

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24

M, Beulens A. J., Sebastian H. -J, and IFIP TC 7.6 Working Group. Working Conference,, eds. Optimization-based computer-aided modelling and design: Proceedings of the First Working Conference of the IFIP TC 7.6 Working Group, The Hague, The Netherlands, 1991. Berlin: Springer-Verlag, 1992.

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25

1944-, Earnshaw R. A., and British Computer Society. Displays Group., eds. State of the art in stereo and terrain modelling: [proceedings of a conference held by] BCS Displays Group, 28 May 1986, Cafe Royal Conference Centre, London. London: British Computer Society, 1986.

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26

1948-, Beulens A. J., Sebastian H. J. (Hans-Jürgen), and IFIP TC 7.6 Working Group. Working Conference, eds. Optimization-based computer-aided modelling and design: Proceedings of the first working conference of the new IFIP TC 7.6 Working Group,The Hague, The Netherlands, 1991. Berlin: Springer-Verlag, 1992.

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27

G, Perros Harry, Pujolle G. 1949-, and Takahashi Y. 1951-, eds. Modelling and performance evaluation of ATM technology: Proceedings of the IFIP TC6 Task Group/WG6.4 International Workshop on Performance of Communication Systems, Martinique, French Caribbean Island, January 25-27, 1993. Amsterdam: North-Holland, 1993.

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28

Seminar on Modelling Structures for Computer Analysis (25 March 1998 Salford). Modelling structures for computer analysis: A seminar jointly organised by the Lanacashire and Cheshire branch and the Informal Study Group on Computing in Structural Engineering, Salford University, 25 March 1998. Edited by University of Salford and Institution of Structural Engineers. Informal Study Group on Computing in Structural Engineering. London: Institution of Structural Engineers, 1998.

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29

Jean-Claude, Falmagne, and Ovchinnikov Sergeĭ, eds. Media theory: Interdisciplinary applied mathematics. Berlin: Springer, 2008.

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30

1944-, Earnshaw R. A., Parslow R. D. 1926-, Woodwark John, and Unicom Seminars, eds. Geometric modelling and computer graphics: Techniques and applications : based on papers delivered at seminars on 25-27 June 1985 organised by Unicom Seminars Ltd and on 26 February 1986 organised by BCS Graphics and Displays Group. (Aldershot): Technical Press in association with Unicom Seminars, 1987.

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31

H, Siddiqi A., ed. Topics in industrial mathematics: Case studies and related mathematical methods. Dordrecht: Kluwer Academic Publishers, 2000.

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32

Saul, A. J. Hydraulic Modelling - (BHR Group Publication 11) (British Hydromechanics Research Group (REP)). Wiley, 1994.

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33

Harding, Duncan. Rehearsal strategies. Edited by Duncan Harding. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198768197.003.0009.

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Like most challenging tasks in life rehearsal helps us to improve our performance, and with the interview, rehearsal is essential. This chapter discusses rehearsal strategies for the interview, considering groups, courses, modelling, and feedback (both from the group and on video). The advantages and disadvantages of interview courses are discussed. The chapter explores the benefit of rehearsal groups, the importance of the correct composition of such groups to be a positive influence, and how to give constructive feedback without undermining confidence. The chapter continues with an explanation of the modelling process as a group rehearsal strategy and thinks about how to apply empathy in the rehearsal group in order to enhance communication during the interview. This chapter includes a useful exercise for an interview rehearsal group to work towards having a panoramic perspective of performance.
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34

Modelli psicoanalitici del gruppo. Milano: Guerini e Associati, 1990.

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35

Subramanian, Shanmugaraj. Numerical modelling of a laterally loaded file group by finite element method. 1992.

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36

Population dynamics and epidemiology of territorial animals: (joint meeting of Quantitative Epidemic Modelling Group and Mathematical Ecology Group). Grange-over-Sands: Institute of Terrestrial Ecology, Merlewood Research Station, 1985.

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37

Nicholls, Gareth Antony. Modelling and kinetics of tetrabutylammonium benzoate-catalysed group transfer polymerisation of methyl methacrylate. 1998.

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38

University of Reading. Faculty of Education and Community Studies., ed. Exploring models and modelling in science and technology education: Contributions from the MISTRE Group. (Reading): Faculty of Education and Community Studies, University of Reading, 1997.

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39

Matarazzo, Benedetto, and Jaap Spronk. Modelling for Financial Decisions: Proceedings of the 5th Meeting of the EURO Working Group on Financial Modelling Held in Catania, 20-21 April 1989. Springer London, Limited, 2012.

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40

Matarazzo, Benedetto, and Jaap Spronk. Modelling for Financial Decisions: Proceedings of the 5th Meeting of the Euro Working Group on "Financial Modelling" held in Catania, 20-21 April, 1989. Springer, 2012.

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41

IAEA. Modelling of Biota Dose Effects: Report of Working Group 6 Biota Dose Effects Modelling of EMRAS II Topical Heading Reference Approaches for Biota Dose Assessment. International Atomic Energy Agency, 2014.

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42

Stephenson, Pamela Susan. Modelling lithic refuse disposal patterns: A test case from the Tower Group (42SV633), Nawthis Village, Utah. 1985.

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43

Butler, N., and A. J. Neilson. Bolt Modelling in DYNA3D: (Paper Presented at the 3rd DYNA3D User Group Conference, London, 1989) (Reports). AEA Technology Plc, 1989.

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44

Caldwell, J., and R. Bradley. Industrial Vibration Modelling: Proceedings of Polymodel 9, the Ninth Annual Conference of the North East Polytechnics Mathematical Modelling and Computer Simulation Group, Newcastle upon Tyne, UK, May 21-22 1986. Springer Netherlands, 2011.

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45

Novick, Jared M., Michael F. Bunting, Michael R. Dougherty, and Randall W. Engle, eds. Cognitive and Working Memory Training. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199974467.001.0001.

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We have assembled an interdisciplinary group of distinguished authors—all experts in the field—who have been testing the efficacy of cognitive and working-memory training using a combination of behavioral, neuroimaging, meta-analytic, and computational modelling methods. This edited volume is a defining resource on the practicality, utility, and validity of the field of cognitive training research in general, and working memory training in particular. Importantly, one focus of the book is on the notion of transfer-namely, the extent to which cognitive training generalizes to learning and performance measures that were decidedly not part of the training regimen.
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46

Spronk, Jaap. Modelling for Financial Decisions: Proceedings of the 5th Meeting of the Euro Working Group on Financial Modelling Held in Catania, 20-21 April, 1989 (Lecture ... Notes in Economics and Mathematical Systems). Springer, 1991.

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47

Ye, Liu, Ingmar Nopens, and Jose Porro. Quantification and Modelling of Fugitive GHG Emissions from Urban Water Systems: A Report from the IWA Task Group on GHG. IWA Publishing, 2020.

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48

Ye, Liu, Ingmar Nopens, and Jose Porro. Quantification and Modelling of Fugitive GHG Emissions from Urban Water Systems: A Report from the IWA Task Group on GHG. IWA Publishing, 2021.

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49

Kurtz, Suzanne M., and Lara J. Cooke. Learner-centred communication training. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0011.

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This chapter provides an overview of core principles and key strategies for teaching communication skills using a learner-centred approach. Goals of communication teaching are summarized. Attitudes are important to be developed as a foundation to the masterful use of skills crossing several different communication issues. Communication should focus on mutual understanding. Effective strategies for teaching communication include experiential, learner-centred small-group work that uses observation, feedback, and repeated practice. The Calgary–Cambridge Model is used as an example of a skills-based approach to teaching communication. Following on, agenda-led outcome-based analysis (ALOBA) is presented as a model to for giving feedback and facilitating experiential, learner-centred, problem-based sessions. The authors close with commentary on modelling and the informal curriculum.
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50

Olejnik, Iwona, ed. Qualitative and quantitative methods in sustainable development. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, 2021. http://dx.doi.org/10.18559/978-83-8211-072-2.

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Systematic research and comprehensive analyses allow to monitor the implementation of the sustainable development goals. Obviously, when you are interested in the selected issue of sustainable development, it is worth using data from the secondary sources in the first place. This e-book presents a few selected methods that will allow you to answer the questions: how to gather data and how to analyse them? Among the data collection methods presented in this book, we have chosen both: qualitative, in particular focus group interview, and quantitative—based on a questionnaire. In terms of data analysis methods, we present three methods: factor analysis, structural equation modelling and data envelopment analysis. The examples presented in this book relate to sustainable development, for example: sustainable consumption, ecological culture, better nutrition, agricultural development and many more. The book consists of five chapters. Chapter 1 “Qualitative methods” presents the issues concerning the methodology of qualitative research, designing a focus group interview, conducting a focus group interview and analysis of qualitative data using the CAQDAS programs. The main goal of Chapter 2 titled “Quantitative methods” is to exhibit the basics of survey research that can be used in analyses of sustainable development. In particular, this part presents the measurement levels, questionnaire design, population and sample, and the ways of presenting the results of quantitative research. Chapter 3 “Factor analysis in sustainable development research” describes the basic theoretical aspects of factor analysis. The second part of this chapter presents an example of the use of this method in research on sustainable consumption. The last part of this chapter presents case study of the use of factor analysis in research on managers’ ethics in retail industry. Chapter 4 titled “Structural equation modelling in sustainable development research” is dedicated to the structural equation modeling methods applied to solve sustainable development research problems. A structural equation model is an abstraction of reality, and the researcher's job is to build a model that approximates that reality as closely as possible. And the aim of Chapter 5 “Data envelopment analysis methods in sustainable agricultural development research” is to determine the relative technical efficiency of representative agricultural farms from the individual European Union countries.
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