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1

Hossain, Monwar. Heat and mass transfer: Modeling and simulation. Rijeka (Croatie): InTech, 2011.

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2

Nielsen, C. V. Modeling of Thermo-Electro-Mechanical Manufacturing Processes: Applications in Metal Forming and Resistance Welding. London: Springer London, 2013.

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3

Kipps, James R. Supporting the transfer of simulation technology. Santa Monica, CA: Rand, 1989.

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4

Markatos, N. C., M. Cross, D. G. Tatchell, and N. Rhodes, eds. Numerical Simulation of Fluid Flow and Heat/Mass Transfer Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82781-5.

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5

Markatos, N. C. Numerical Simulation of Fluid Flow and Heat/Mass Transfer Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986.

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6

Wright, J. L. Measurement and computer simulation of heat transfer in glazing systems. Ottawa, Ont: Efficiency and Alternative Energy Technology Branch, Energy, Mines and Resources Canada, 1991.

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7

Júnior, Silvio de Oliveira. Exergy: Production, Cost and Renewability. London: Springer London, 2013.

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8

Schaab, Brooke B. Training for adaptability and transfer on digital systems. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2001.

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9

Lemanski, Michael J. Simulation for Smartnet scheduling of asynchronous transfer mode virtual channels. Monterey, Calif: Naval Postgraduate School, 1997.

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10

Waldherr, Annie. Die Dynamik der Medienaufmerksamkeit: Ein Simulationsmodell. Baden-Baden: Nomos, 2012.

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11

Gentner, Dedre. Mechanisms of analogical learning. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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12

Norman, John M. Final report on research on NASA grant entitled plant architecture, growth and radiative transfer for terrestrial and space environments, Feb. 1, 1989 - Jan. 31, 1993. [Washington, DC: National Aeronautics and Space Administration, 1993.

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13

An analyst's guide to TRIM2: The transfer income model, version 2. Washington, D.C: Urban Institute Press, 1992.

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14

Havasy, I. Simulation of mass and heat transfer in a large karstic reservoir for mine water management. S.l: s.n, 1985.

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15

Chang, Cheng-Shang. Fast simulation of packet loss rates in a shared buffer communications switch. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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16

Tactical media. Minneapolis: University of Minnesota Press, 2009.

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17

Analytis, G. Th. Assessment of interfacial shear and wall heat transfer of RELAP5/MOD2/36.02 during reflooding. Washington, DC: Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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18

Evans, Andrew. This virtual life. London: Fusion, 2001.

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19

Krumbein, Ulrich. Simulation of carrier generation in advanced silicon devices. Konstanz: Hartung-Gorre, 1996.

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20

Tuomaala, Pekka. Implementation and evaluation of air flow and heat transfer routines for building simulation tools. Espoo [Finland]: VTT, 2002.

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21

Kihara, Job. Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT). Dordrecht: Springer Netherlands, 2012.

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22

Numerical simulations of heat transfer and fluid flow on a personal computer: Incorporating simulation programs on diskette. Amsterdam: Elsevier, 1993.

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23

Kotake, Susumu. Numerical simulations of heat transfer and fluid flow on a personal computer: Incorporating simulation programs on diskette. Amsterdam: Elsevier, 1993.

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24

Burch, D. M. MOIST, a PC program for predicting heat and moisture transfer in building envelopes. 2nd ed. [Gaithersburg, Md.?]: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1993.

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25

Emerson, Douglas G. A heat and water transfer model for seasonally frozen soils with application to a precipitation-runoff model. Washington, D.C: U.S. G.P.O., 1994.

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26

Yarin, L. P. The Pi-Theorem: Applications to Fluid Mechanics and Heat and Mass Transfer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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27

E, Smith James. A model of forest floor carbon mass for United States forest types. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2002.

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28

O'Reilly, Andrew M. A method for simulating transient ground-water recharge in deep water-table settings in central Florida by using a simple water-balance/transfer-function model. Reston, Va: U.S. Geological Survey, 2004.

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29

O'Reilly, Andrew M. A method for simulating transient ground-water recharge in deep water-table settings in central Florida by using a simple water-balance/transfer-function model. Reston, Va: U.S. Geological Survey, 2004.

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30

Hochreiter, L. E. Rod bundle heat transfer facility steam cooling with droplet injection experiments data report. Washington, DC: U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Division of Systems Analysis, 2015.

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31

Koichi, Kurumatani, Chen Shu-Heng 1959-, and Ohuchi Azuma, eds. Multi-agent for mass user support: International workshop, MAMUS 2003, Acapulco, Mexico, August 10, 2003 : revised and invited papers. Berlin: Springer, 2004.

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32

Lin, Yuh-Lang. Meso-beta scale numerical simulation studies of terrain-induced jet streak mass/momentum perturbations: Final report. Raleigh, N.C: Dept. of Marine, Earth, and Atmospheric Sciences, North Carolina State University, 1995.

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33

Organisation for Economic Co-operation and Development., ed. Wider application and diffusion of bioremediation technologies: The Amsterdam '95 Workshop. Paris: Organisation for Economic Co-operation and Development, 1996.

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34

Murthy, S. N. B. WINCOF-I code for prediction of fan compressor unit with water ingestion. [Washington, D.C.]: National Aeronautics and Space Administration, 1990.

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35

Murthy, S. N. B. WINCOF-I code for prediction of fan compressor unit with water ingestion. [Washington, D.C.]: National Aeronautics and Space Administration, 1990.

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36

Lin, Yuh-Lang. Meso-beta scale numerical simulation studies of terrain-induced jet streak mass/momentum perturbations: FY94 November annual report. [Washington, DC: National Aeronautics and Space Administration, 1994.

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37

Nong tian fu she chuan shu ji li yu yao gan cheng xiang mo ni. Beijing Shi: Qi xiang chu ban she, 2012.

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38

Taylor, R. Garth. Economic impacts of agriculture-to-urban water transfers: A case study of Crowley County, Colorado. Fort Collins, Colo: Colorado Water Resources Research Institute, Colorado State University, 1993.

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39

Schwartz, F. W. Computer analysis of the factors influencing groundwater flow and mass transport in a system disturbed by strip mining. Edmonton, Alta: SIMCO Groundwater Research Ltd, 1988.

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40

International Conference on Industrial Electronics, Control, and Instrumentation (13th 1987 Cambridge, Mass.). IECON '87: Supplement : 1987 International Conference on Industrial Electronics, Control, and Instrumentation, 2-6 November 1987, Cambridge, Mass. [Bellingham, Wash., USA: SPIE--the International Society for Optical Engineering, 1987.

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41

Neto, Francisco Duarte Moura. An Introduction to Inverse Problems with Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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42

Preikshot, David. Fishing for answers: Analysis of ecosystem dynamics, tropic shifts, and salmonid population changes in Puget Sound, WA, 1970-1999 : a report, prepared for the Northwest Indian Fisheries Commission, on an investigation of changes in the south Puget Sound ecosystem, from 1970 to 1999, using a dynamic mass balance model (Ecopath with Ecosim), with special reference to chinook salmon (Oncorhynchus tshawytsha) and coho salmon (O. kisutch). Vancouver, B.C: Fisheries Centre, University of British Columbia, 2001.

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43

Guo, Weidong. The Application of the Chebyshev-Spectral Method in Transport Phenomena. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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44

Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
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45

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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46

Efremov, German. Modeling of chemical and technological processes. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1090526.

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In an accessible form, the textbook presents the theoretical foundations of physical and mathematical modeling; considers the modeling of mass, heat and momentum transfer processes, the relationship and analogy between them; studies the theory of similarity, its application in modeling, models of the structure of flows in apparatuses. Experimental-statistical and experimental-analytical modeling methods are also described, which include "black box" methods, planning passive, active full and fractional factor experiments, and adjusting models based on the results of the experiment. At the same time, modeling of chemical reactors, methods of optimization of chemical-technological processes, their selection, comparison and application examples are considered. Examples of modeling and optimization of processes in chemical, petrochemical and biotechnology on a computer in Excel and MathCAD environments are given. The appendices provide the basics of working in the MathCAD environment and elements of matrix algebra. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for bachelors who are trained for the chemical, petrochemical, food, textile and light industries. It can be useful for specialists and undergraduates, as well as for scientists, engineers and postgraduates dealing with the problem under consideration.
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47

Computer simulation for fluid flow, heat and mass transfer, and combustion in reciprocating engines. New York: Hemisphere Pub. Corp., 1989.

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48

Simakov, Nikolay N. Liquid Spray from Nozzles: Experimental and Computer Simulation of Hydrodynamics and Interphase Heat and Mass Transfer. Springer, 2020.

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49

Clauser, Christoph. Numerical Simulation of Reactive Flow in Hot Aquifers. Springer, 2014.

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50

Christoph, Clauser, ed. Numerical simulation of reactive flow in hot aquifers: SHEMAT and processing SHEMAT. Berlin: Springer, 2003.

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