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Libri sul tema "Food simulation"

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1

Cleland, Andrew C. Food refrigeration processes: Analysis, design, and simulation. London: Elsevier Applied Science, 1990.

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2

Cleland, Andrew C. Food refrigeration processes: Analysis, design and simulation. London: Elsevier Applied Science, 1989.

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3

library, Wiley online, a cura di. Multiphysics simulation of emerging food processing technologies. Ames, Iowa: Wiley, 2011.

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4

Knoerzer, Kai, Pablo Juliano, Peter Roupas e Cornelis Versteeg, a cura di. Innovative Food Processing Technologies: Advances in Multiphysics Simulation. Oxford, UK: Blackwell Publishing Ltd., 2011. http://dx.doi.org/10.1002/9780470959435.

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5

Knoerzer, Kai. Innovative food processing technologies: Advances in multiphysics simulation. Chichester, West Sussex, UK: Wiley-Blackwell/IFT Press, 2011.

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6

Wilde, Parke. Understanding the Food Stamp benefit formula: A tool for measuring the component effects. [Washington, D.C.?]: USDA, ERS, 2001.

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7

United Nations. Economic Commission for Africa. Population Environment Development Agriculture model: Technical manual. Addis Ababa, Ethiopia: Economic Commission for Africa, 2007.

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8

H, Jensen Helen, a cura di. Analysis of agricultural and food price policy in Haiti: An adaptive policy simulation model. Ames, Iowa: Center for Agricultural and Rural Development, Iowa State University, 1991.

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9

Kazlauskiene, Natalija. An adaptive policy simulation model to analyze price reforms for Lithuanian food and agricultural products. Ames, Iowa: Center for Agricultural and Rural Development, Iowa State University, 1991.

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10

United States. Department of Agriculture. Economic Research Service, a cura di. The Food Assistance National Input-Output Multiplier (FANIOM) model and stimulus effects of SNAP. Washington, D.C.]: U.S. Dept. of Agriculture, Economic Research Service, 2010.

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11

Harvey, Christopher James. A mass-balance model for evaluating food web structure and community-scale indicators in the central basin of Puget Sound. Seattle, Wash.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2010.

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12

Barber, M. Craig. FGETS (Food and Gill Exchange of Toxic Substances): A simulation model for predicting bioaccumulation of nonpolar organic pollutants by fish. Athens, GA: U.S. Environmental Protection Agency, Environmental Research Laboratory, 1988.

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13

Barber, M. Craig. FGETS (Food and Gill Exchange of Toxic Substances): A simulation model for predicting bioaccumulation of nonpolar organic pollutants by fish. Athens, GA: U.S. Environmental Protection Agency, Environmental Research Laboratory, 1988.

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14

Diakosavvas, Dimitris. Assessing the impact on food security of alternative compensatory financing schemes: A simulation approach with an application to India. Loughborough: Loughborough University, Department of Economics, 1997.

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15

Yande, Liu, Chen Yingyi e SpringerLink (Online service), a cura di. Computer and Computing Technologies in Agriculture IV: 4th IFIP TC 12 Conference, CCTA 2010, Nanchang, China, October 22-25, 2010, Selected Papers, Part II. Berlin, Heidelberg: IFIP International Federation for Information Processing, 2011.

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16

Yande, Liu, Chen Yingyi e SpringerLink (Online service), a cura di. Computer and Computing Technologies in Agriculture IV: 4th IFIP TC 12 Conference, CCTA 2010, Nanchang, China, October 22-25, 2010, Selected Papers, Part I. Berlin, Heidelberg: IFIP International Federation for Information Processing, 2011.

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17

Bell, L. Frontal occupant sled simulation correlation: 1980 Ford Mustang sled buck. [Washington, DC]: U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1985.

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18

Heywood, Charles E. Simulation of groundwater flow in the "1,500-foot" sand and "2000-foot" sand, with scenarios to mitigate saltwater migration in the '2000-foot" sand, of the Baton Rouge Area, Louisiana. Reston, Virginia: U.S. Department of the Interior, U.S. Geological Survey, 2014.

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19

M, Seeley Ralph, Tucker Charlotte K, Economic Research Service e United States. Dept. of Agriculture, a cura di. The Food and Agricultural Policy Simulator: Estimation of farm production expenses. [Washington, DC]: U.S. Dept. of Agriculture, Economic Research Service, 1992.

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20

Roane, Hunt L., Prabhu Ramadas K e United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., a cura di. Computational method to predict thermodynamic, transport, and flow properties for the modified Langley 8-foot high-temperature tunnel. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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21

Roane, Hunt L., Prabhu Ramadas K e United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., a cura di. Computational method to predict thermodynamic, transport, and flow properties for the modified Langley 8-foot high-temperature tunnel. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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22

White, P. Integrated solid waste management: A lifecycle inventory. London: Blackie Academic & Professional, 1995.

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23

Beebe, M. Frontal occupant sled simulation correlation: Vehicle to fixed load cell barrier : 1980 Ford Mustang into a fixed load cell barrier at 29.9 mph. [Washington, DC]: U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 1985.

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24

Cloninger, Barbara J. Food item inventory instructional simulation using microcomputers. 1986.

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25

Vilas, Carlos, Míriam R. García e Jose A. Egea, a cura di. Dynamic Modelling and Simulation of Food Systems. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-6693-1.

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26

Dvorkin, Alex. Bookkeeping Simulation Workbook; Decre Food Truck, LLC. Independently Published, 2021.

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27

Gueven, Alper, e Zeynep Hicsasmaz. Pore Structure in Food: Simulation, Measurement and Applications. Springer London, Limited, 2013.

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28

Gueven, Alper, e Zeynep Hicsasmaz. Pore Structure in Food: Simulation, Measurement and Applications. Springer, 2013.

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29

Juliano, Pablo, Kai Knoerzer, Peter Roupas e Cornelis Versteeg. Innovative Food Processing Technologies: Advances in Multiphysics Simulation. Wiley & Sons, Incorporated, John, 2011.

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30

Juliano, Pablo, Kai Knoerzer, Peter Roupas e Cornelis Versteeg. Innovative Food Processing Technologies: Advances in Multiphysics Simulation. Wiley & Sons, Incorporated, John, 2011.

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31

Juliano, Pablo, Kai Knoerzer, Peter Roupas e Cornelis Versteeg. Innovative Food Processing Technologies: Advances in Multiphysics Simulation. Wiley & Sons, Incorporated, John, 2011.

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32

Knoerzer, Kai, e Kasiviswanathan Muthukumarappan. Innovative Food Processing Technologies: A Comprehensive Review. Elsevier, 2020.

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33

Knoerzer, Kai, e Kasiviswanathan Muthukumarappan. Innovative Food Processing Technologies: A Comprehensive Review. Elsevier, 2020.

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34

Pardalos, P. M. Modeling for Sustainable Management in Agriculture, Food and the Environment. CRC Press LLC, 2022.

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35

Pardalos, P. M. Modeling for Sustainable Management in Agriculture Food and the Environment. Taylor & Francis Group, 2021.

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36

Pardalos, P. M. Modeling for Sustainable Management in Agriculture, Food and the Environment. Taylor & Francis Group, 2021.

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37

Pardalos, P. M. Modeling for Sustainable Management in Agriculture, Food and the Environment. Taylor & Francis Group, 2021.

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38

Pardalos, P. M. Modeling for Sustainable Management in Agriculture, Food and the Environment. Taylor & Francis Group, 2021.

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39

Pardalos, P. M. Modeling for Sustainable Management in Agriculture, Food and the Environment. Taylor & Francis Group, 2021.

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40

Juliano, Pablo, Kai Knoerzer e Geoffrey W. Smithers. Innovative Food Processing Technologies: Extraction, Separation, Component Modification and Process Intensification. Elsevier Science & Technology, 2016.

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41

Juliano, Pablo, Kai Knoerzer e Geoffrey W. Smithers. Innovative Food Processing Technologies: Extraction, Separation, Component Modification and Process Intensification. Elsevier Science & Technology, 2023.

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42

Juliano, Pablo, Kai Knoerzer e Geoffrey W. Smithers. Innovative Food Processing Technologies: Extraction, Separation, Component Modification and Process Intensification. Elsevier Science & Technology, 2016.

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43

Costa, Rui. Predictive Modeling and Risk Assessment. Springer, 2009.

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44

(Editor), Rui Costa, e Kristberg Kristbergsson (Editor, Series Editor), a cura di. Predictive Modeling and Risk assessment (Integrating Safety and Environmental Knowledge Into Food Studies towards European Sustainable Development). Springer, 2007.

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45

Computer And Computing Technologies In Agriculture Iv. Springer, 2011.

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46

Lofgren, Hans. World Food Prices and Human Development: Policy Simulations for Archetype Low-Income Countries. The World Bank, 2012. http://dx.doi.org/10.1596/1813-9450-6033.

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47

Dierking, Ingo, e Antônio Martins Figueiredo Neto. Lyotropic Liquid Crystals. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780191924927.001.0001.

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Abstract (sommario):
Abstract This book on Lyotropic Liquid Crystals covers the current state of the art of materials forming liquid crystals as a function of concentration in an isotropic solvent. After a short introduction to liquid crystals in general, we discuss the basic aspects of phase transitions, Onsager’s theory, and the Landau–de Gennes approach. Phase diagrams are introduced, together with a range of experimental techniques to determine the latter, such as polarizing microscopy, calorimetry, X-ray diffraction, and neutron scattering. Computer simulation approaches are discussed to demonstrate current possibilities as well as limitations in the prediction of lyotropic phases, transitions, and properties. Lyotropic phases have been described for an ever-growing range of materials, of which we first discuss the standard amphiphilic and surfactant molecules, chromonics, and also chiral materials. Much of the book is dedicated to colloidal lyotropics, starting with mineral liquid crystals and clays, followed by biological and living lyotropics, then nanorod, nanotube, nanowire, and nanosheet systems. We terminate our excursion into the world of lyotropic liquid crystals by discussing some of their (potential) applications in the food and cosmetics industries, in sensors, medical applications, and, as fibres, as chemical nanoreactors and in future applications of nanotechnology.
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48

White, P., P. Hindle e M. Dranke. Integrated Solid Waste Management: A Lifecycle Inventory. Springer, 1995.

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49

White, P. Integrated Solid Waste Management: A Lifecycle Inventory. Springer, 2012.

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50

Kristian, Maarja, Hanna Lounela e Thomas Svensson. FMD simulation exercise RUTA 2020: Report on the Foot and Mouth Disease simulation exercise conducted in 2019 by the Nordic-Baltic Veterinary Contingency Group​. Nordic Council of Ministers, 2020. http://dx.doi.org/10.6027/temanord2020-530.

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