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Books on the topic 'Support modes'

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Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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1

Kochinov, Yuriy, and Tat'yana Kochinova. Transport support trading activities. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014786.

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The tutorial discusses the current state of the transport system of Russia, types and marking of goods, terms of delivery of goods characteristics of modes of transport; describes the types of cargo and performance evaluation of transport; the data for the practical solution of situational tasks and test questions for independent work and test knowledge. Meets the requirements of Federal state educational standards of higher education of the last generation. For undergraduate students enrolled in field of study "trading business" and other economic areas.

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2

Morgan, Mark. Modes of financial support in the graduate education of science and engineering doctorate recipients: Topical report. Arlington, VA: Division of Science Resources Studies, Directorate for Social, Behavioral, and Economic Sciences, National Science Foundation, 2000.

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3

Olson, David Louis. Decision support models. Dubuque, Iowa: Kendall/Hunt, 1988.

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4

NATO Advanced Study Institute on Mathematical Models for Decision Support (1988 Val d'Isère, France). Mathematical models for decision support. Edited by Mitra Gautam, Greenberg Harvey J, and North Atlantic Treaty Organization. Scientific Affairs Division. Berlin: Springer-Verlag, 1988.

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5

Mitra, Gautam. Mathematical Models for Decision Support. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

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6

Mitra, Gautam, Harvey J. Greenberg, Freerk A. Lootsma, Marcel J. Rijkaert, and Hans J. Zimmermann, eds. Mathematical Models for Decision Support. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1.

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7

1944-, Courtney James F., ed. Decision support models and expert systems. New York: Macmillan, 1992.

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8

Olson, David Louis. Decision support models and expert systems. Houston TX: Dame Publications, 1997.

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9

Implementing model-oriented decision support systems. Helsinki: Helsinki School of Economics, 1987.

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10

Engineering effective decision support technologies: New models and applications. Hershey, PA: Engineering Science Reference, 2013.

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11

Keller, Richard M. Artificial intelligence support for scientific model-building. [Moffett Field, CA]: NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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12

Keller, Richard. Artificial intelligence support for scientific model-building. [Moffett Field, CA]: NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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13

Nyhart, J. D. Computer models as support for complex negotiations. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1987.

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14

Kischka, Peter, Rolf H. Möhring, Ulrike Leopold-Wildburger, and Franz-Josef Radermacher, eds. Models, Methods and Decision Support for Management. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57603-4.

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15

Pritsker, A. Alan B. Slam II network models for decision support. Englewood Cliffs, N.J: Prentice Hall, 1989.

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16

Nazareth, J. L. The DLP optimization model and decision support system. Bainbridge Island, Seattle, WA: J.L. Nazareth, 1997.

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17

Varra, Lucia, ed. Dal dato diffuso alla conoscenza condivisa. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-177-5.

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At the present time, the tourist destination offers a stimulating laboratory for the experimentation of theoretical models and good practices on the subjects of governance, knowledge management and sustainable competition. Growing interest in the study of this territorial context gains impetus from the new approaches and tools that local administrations are starting to introduce in the phases of implementation and control of local strategies. In this respect, the Tourist Destination Observatory (OTD) represents an important innovation, offering a nerve centre for the aggregation and networking of heterogeneous data scattered over the territory as well as a model for the implementation of permanent approaches to social dialogue as prerequisites for the creation of knowledge and for an aware, shared, competitive and responsible development of the destination. The OTD can act as an efficient agent of local change, facilitating the processes of governance, and as a tool of knowledge management for the valorisation of intellectual capital. It is consequently a crucial support for the strategic repositioning of mountain resorts, which can represent valid responses to the emerging new modes of interpreting the holiday.

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18

Jeroslow, Robert G. Logic-based decision support: Mixed integer model formulation. Amsterdam: North-Holland, 1989.

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19

Prekas, Nikolaos. HERMES: Hypermedia enterprise and requirements model exploration support. Manchester: UMIST, 1996.

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20

Morais, Danielle Costa, Ashley Carreras, Adiel Teixeira de Almeida, and Rudolf Vetschera, eds. Group Decision and Negotiation: Behavior, Models, and Support. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21711-2.

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21

Wierzbicki, Andrzej P., Marek Makowski, and Jaap Wessels, eds. Model-Based Decision Support Methodology with Environmental Applications. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9552-0.

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22

1926-, Rasmussen Jens, Brehmer Berndt, Leplat Jacques, Werner-Reimers-Stiftung, and Maison des sciences de l'homme (Paris, France), eds. Distributed decision making: Cognitive models for cooperative work. Chichester, England: Wiley, 1991.

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23

R, Becker Deborah, ed. Supported employment: Applying the individual placement and support (IPS) model to help clients compete in the workforce. Center City, Minn: Dartmouth PRC-Hazelden, 2011.

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24

Bruce, C. J. A contractual model of the determination of spousal support upon divorce. [Toronto, Ont.]: Canadian Law and Economics Association c/o Faculty of Law, University of Toronto, 1994.

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25

Project, Harvard Family Research. Building partnerships: Models of family support and education programs. Cambridge, Mass. (Longfellow Hall, Appian Way, Cambridge 02138): Harvard Family Research Project, Harvard Graduate School of Education, 1992.

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26

Catherine, Hopwood. Women and multiple sclerosis: Models, needs and (support) services. [Hamilton, Ont: McMaster Research Centre for the Promotion of Women's Health, McMaster University], 1994.

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27

Shaw, Michael. Learning model management knowledge in intelligent decision support systems. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1988.

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28

Holder, Evelan R. Building community support for health promotion programs: A model. Kansas City, Mo. (2420 Pershing Rd., Kansas City 64108): American Nurses' Foundation, 1985.

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29

Cordella, Tito. Budget support versus project aid. [Washington, D.C.]: International Monetary Fund, Research Department, 2003.

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30

Zischek, Dieter. Mathematische Entscheidungsmodelle als Komponenten von Entscheidungsunterstützungssystemen: Eine veranschaulichende Analyse am Beispiel der mathematischen Teamtheorie. Köln: Müller Botermann, 1987.

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31

Shapiro, Jeremy F. On the connections between activity based costing models and optimization models for decision support. Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1994.

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32

Rosenthal, Richard E. Application and extension of the THRUPUT II optimization model for airlift mobility. Monterey, Calif: Naval Postgraduate School, 1996.

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33

Dalton, Heidi J., Mark Davidson, and Peter P. Roeleveld. Extracorporeal Life Support. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199918027.003.0002.

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Extracorporeal membrane oxygenation (ECMO) can provide support as a bridge to recovery or a bridge to more definitive therapy for patients with severe respiratory or cardiorespiratory disease. In this chapter, the criteria for ECMO are discussed and a practical decision tree for mode of ECMO (venovenous or venoarterial) is presented. A stepwise approach to initiation and management of ECMO for the patient is described, including flow rate goals, ventilator management, anticoagulation, blood product replacement, identification of recovery, weaning procedures, and specific issues relating to the two different modes of ECMO.

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34

Evans, Charlotte, Anne Creaton, Marcus Kennedy, and Terry Martin, eds. Respiratory support. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198722168.003.0008.

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The aim of the respiratory support chapter is to provide the retrievalist with an armamentarium of information regarding advanced airway management. The chapter details the approach to the difficult airway with assessment tools and clinical features. Airway devices are discussed and intubation methods outlined. Practical guidance is provided on how to set up your non-invasive and invasive modes of ventilation with sections on mechanical ventilation of the healthy lung.

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35

Dasgupta, Swapan Kumar. Different modes of credit support to rural women: A comparative study. [Distributors], Rubi Enterprise, 2000.

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36

Fox, Grenville, Nicholas Hoque, and Timothy Watts. Respiratory support. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198703952.003.0008.

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This chapter includes sections on various modes of both invasive (i.e. via an endotracheal tube) and non-invasive respiratory support in neonates, including conventional ventilation, volume-targeted ventilation, high-frequency oscillatory ventilation (HFOV), extracorporeal membrane oxygenation (ECMO), nasal continuous positive airways pressure (nCPAP), nasal intermittent positive pressure ventilation (nIPPV), and high and low-flow nasal cannula oxygen. There is also a brief section on the care of babies with a tracheostomy as well as management of babies requiring home oxygen. Reference is made to the most recent European Consensus Guidelines. A separate chapter on neonatal respiratory problems (Chapter 7) gives further detail on common lung pathologies requiring respiratory support in neonates.

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37

Lei, Yuan. Mechanical Ventilation Modes. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0008.

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‘Mechanical Ventilation Modes’ seeks to shed light on this hotly debated topic, one that is complicated by ventilator manufacturers’ non-standardized terminology. The chapter looks at conventional modes, adaptive modes, and biphasic modes, which it classifies based on the mechanical breath types in each mode. It includes a comparison chart of the terminology used for common modes on popular IPPV ventilators. Using their signature waveforms, the author describes the assist/control, SIMV, and pressure support ventilation or PSV modes. It defines the modes by their application of spontaneous breaths and mandatory breaths. It continues with a discussion of adaptive modes and biphasic modes. It ends by discussing how to select the appropriate ventilation mode.

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38

Kreit, John W. Ventilator Modes and Breath Types. Edited by John W. Kreit. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190670085.003.0005.

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Ventilator Modes and Breath Types describes, compares, and contrasts the different modes and breath types that are available on intensive care unit ventilators. The chapter first covers the various ventilator modes: continuous mandatory ventilation, synchronized intermittent mandatory ventilation, spontaneous ventilation, and bi-level ventilation. Then it turns to a discussion of the various mechanical breath types: volume control, pressure control, adaptive pressure control, pressure support, and finally, adaptive pressure support. It also provides practical advice about how and when to use each mode–breath type combination. Eight Boxes in the chapter discuss each breath type, and list each type’s features, and its clinician-set parameters.

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39

Ayers, Constance Jean. A META-ANALYSIS OF THE EFFECTS OF SOCIAL SUPPORT ON ADAPTATION IN ROY'S FOUR MODES. 1990.

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40

United States. National Aeronautics and Space Administration., ed. A.I.-based real-time support for high performance aircraft operations: Final status report. [Washington, D.C: National Aeronautics and Space Administration, 1985.

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41

United States. National Aeronautics and Space Administration., ed. A.I.-based real-time support for high performance aircraft operations: Final status report. [Washington, D.C: National Aeronautics and Space Administration, 1985.

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42

Group Decision Support Systems (GDSS) and Influence Modes: A Comparative Field Study Between GDSS Mediated Groups and Non-GDSS Mediated Groups. Storming Media, 1997.

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43

RAGSDALE. Decision Support Models. Pearson Education, Limited, 2004.

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44

Gulden, Jens. Methodical Support for Model-Driven Software Engineering with Enterprise Models. Logos Verlag Berlin, 2013.

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45

McDonnell Douglas Astronautics Company--Houston Division. and United States. National Aeronautics and Space Administration., eds. Independent Orbiter assessment: Assessment of the electrical power generation/power reactant storage and distribution subsystem FMEA/CIL. Houston, Tex: McDonnell Douglas Astronautics Company, Houston Division, 1988.

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46

Models of Adoption Support. British Association for Adoption and Fostering (BAAF), 2003.

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47

Mitra, Gautam, Harvey J. Greenberg, Freerk A. Lootsma, Marcel J. Rijckaert, and Hans J. Zimmermann. Mathematical Models for Decision Support. Springer London, Limited, 2012.

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48

Maoz, Ifat. Intergroup Contact in Settings of Protracted Ethnopolitical Conflict. Edited by Phillip L. Hammack. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199938735.013.30.

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Intergroup contact, encounters, and dialogues are pervasively used in settings of protracted, ethnopolitical conflict as a device for improving relations between the sides and promoting conflict resolution and reconciliation. This chapter reviews the theoretical underpinnings of such efforts and discusses different models and modes of planned intergroup contact in conflict, as well as the potential of the intergroup encounters to bring about change, while focusing on the ethical implications and consequences of the encounter with the other and its narrative in the setting of protracted ethnopolitical conflict. Specifically, it focuses on the case study of the violent protracted asymmetric conflict between Israelis and Palestinians. In this context it discusses the extent to which different modes and models of organized intergroups can overcome moral exclusion, extend the boundaries of moral responsibility for the other, and increase support for more socially just and equitable relations.

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49

Caricom model legislation on maintenance & maintenance orders. Georgetown, Guyana: Caricom Secretariat, 1997.

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50

Software Support Cost Estimating Models: A Comparative Study of Model Content and Parameter Sensitivity. Storming Media, 1998.

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