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1

McDowall, R. D. Laboratory information management systems. Wilmslow: Sigma Press, 1987.

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2

Elizabeth, Turner, and Hinton Mary D. 1948-, eds. Laboratory information management systems. 2nd ed. New York: Marcel Dekker, 2002.

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3

Legrand, Daniel L. LIMS (Laboratory information management system): A review. Sudbury, Ont: Laurentian University, Chemistry and Biochemistry Department, 1993.

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4

Henry, Martin W. Planning, design and implementation of a laboratory information management system. [s.l: The Author], 1991.

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5

Practical laboratory information management for scientists & engineers. Englewood Cliffs, N.J: Prentice Hall, 1992.

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6

LIMS: Applied information technology for the laboratory. New York: Van Nostrand Reinhold, 1990.

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7

Mahaffey, Richard R. LIMS: Applied information technology for the laboratory. New York: Van Nostrand Reinhold, 1990.

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8

Laboratory information management systems: Development and implementation for a quality assurance laboratory. New York: M. Dekker, 1995.

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9

Magee, Brian. The design, development and implementation of a pathology laboratory management information system. [s.l: The author], 1994.

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10

Laboratory management information systems: Current requirements and future perspectives. Hershey PA: Medical Information Science Reference, an imprint of IGI Global, 2015.

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11

Information resources management: Harnessing information assets for productivity gains in the office, factory, and laboratory. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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12

International, Strategic Directions. Laboratory information management systems (LIMS) in North America: Fifth annual survey of end-users. Los Angeles, CA: Strategic Directions International, 1998.

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13

International, Strategic Directions. A global survey of the status and prospects of Laboratory Information Management Systems (LIMS). Los Angeles: Strategic Directions International, 2003.

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14

Gebauer, Judith. Building an internet-based workflow system: The case of Lawrence Livermore National Laboratories' Zephyr Project. Hershey, PA: Idea Group Pub., 1999.

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15

An introduction to the management of laboratory data: A tutorial approach using Borland's Paradox® relational database. Cambridge: Royal Society of Chemistry, 1992.

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16

Polyakov, Anatoliy, Maksim Ivanov, Elena Ryzhkova, and Ekaterina Filimonova. Electrical engineering and electronics: laboratory workshop. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1214583.

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The textbook presents the main theoretical provisions, evaluation tools, laboratory work and homework for the courses of the electrical cycle. It is intended for self-study of the main sections of theoretical electrical engineering. Meets the requirements of the federal state educational standards of higher education of the latest generation. For bachelors and undergraduates studying in the areas of training 15.03/04.04 "Automation of technological processes and production", 27.03/04.04 "Management in technical systems", 13.03.01 "Heat power engineering and heat engineering", 15.03.02 "Technological machines and equipment", 09.03.01 "Informatics and computer engineering", 09.03.02 "Information systems and technologies", 29.03.01 "Technology of light industry products", 29.03.02 "Technologies and design of textile products", 29.03.04 "Technology of artistic processing of materials", 27.03.01 "Standardization and metrology", 18.03.01 "Chemical technology", 20.03.01 "Technosphere safety", 15.03.06 "Mechatronics and robotics" of all forms of education studying the disciplines "Electrical Engineering", "Electrical Engineering and fundamentals of electronics", "Electrical Engineering and industrial electronics", "Electrical engineering, fundamentals of electronics and automation". Theoretical provisions, scientific, practical and methodological recommendations can be useful when studying the disciplines of the master's program " Electrotechnical complexes and systems. Energy saving".
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17

United States. Dept. of Energy. Office of Audit Services. Audit report: Certification and accreditation of the department's national security information systems. [Washington, DC: Dept. of Energy, 2008.

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18

Peltu, Malcolm. Introducing information system management. Oxford, Eng: NCC Blackwell, 1989.

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19

Management information system tools. New York: McGraw-Hill, 1992.

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20

Malawi. Education Management Information System. Education Management Information System. Lilongwe, Malawi: Ministry of Education Science and Technology, Department of Education Planning, 2010.

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21

McVicker, A. Personnel management information system. [s.l: The Author], 1995.

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22

Dietze, Andreas. Information System Value Management. Wiesbaden: Deutscher Universitätsverlag, 2004. http://dx.doi.org/10.1007/978-3-322-81780-8.

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23

Unit, University Health Care. Clinic management information system. New York: Lienhard School of Nursing, Pace University, 1991.

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24

Campbell, Margo. Web based management information system. (s.l: The Author), 2001.

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25

Great Britain. Manpower Services Commission. Corporate management information system (COMIS). [Sheffield]: Manpower Services Commission, 1986.

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26

Lai, Siu Fun. The sales management information system. London: University of East London, 1995.

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27

McAleese, Kieran Peter. Qual ity assurance laboratory tracking information system (QUALTIS). [s.l: The Author], 1995.

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28

Enterprise information system V. Dordrecht: Kluwer Academic, 2004.

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29

Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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30

O, Waite Ronald, ed. Online accounting information systems: Laboratory text. Englewood Cliffs, N.J: Regents/Prentice Hall, 1994.

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31

Office, National Audit. The National Offender Management Information System. London: Stationery Office, 2009.

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32

Office, National Audit. The National Offender Management Information System. London: Stationery Office, 2009.

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33

Hegarty, Sinead. Management information system 1: Generic extensions. [s.l: The Author], 2001.

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34

Chopra, Abhishek, and Mukund Chaudhary. Implementing an Information Security Management System. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5413-4.

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35

International Institute for Educational Planning., ed. An efficiency-based management information system. Paris: Unesco, International Institute for Educational Planning, 1993.

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36

Megargle, R. Laboratory Information Management Systems. Wiley-VCH Verlag GmbH, 2000.

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37

Paszko, Christine, and Elizabeth Turner. Laboratory Information Management Systems. CRC Press, 2018. http://dx.doi.org/10.1201/9780203908419.

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38

Megargle, R. Laboratory Information Management Systems. Vch Pub, 2002.

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39

Turner, Elizabeth, and Christine Paszko. Laboratory Information Management Systems Revised & Expanded. 2nd ed. CRC, 2001.

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40

McDowall, R. D. Laboratory Information Management Systems: Concepts and Applications. Coronet Books, 1988.

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41

Witten, Charles S. D. Development of IS2100 An information systems laboratory. 1985.

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42

McDowall, R. D. Laboratory Information Management Systems: Concepts, Integration and Implementation. Halsted Pr, 1988.

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43

D, McDowall R., ed. Laboratory information management systems: Concepts, integration, and implementation. Wilmslow, U.K: Sigma Press, 1987.

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44

Hinton, Mary D. Laboratory Information Management Systems: Development and Implementation for a Quality Assurance Laboratory. Marcel Dekker, 1994.

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45

H, Christie Joseph, and Geological Survey (U.S.), eds. Organization and design of an automated laboratory information management system for the Branch of Geochemistry Research and Operational Laboratory. Denver, CO: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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46

Laboratory and hospital information systems: Strategies for clinical laboratory management: decision-oriented test request forms. Philadelphia: Saunders, 1991.

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47

Fred, Gorstein, and Thor Ann, eds. Tumor markers in diagnostic pathology: Strategies for clinical laboratory management: the laboratory and hospital information systems. Philadelphia: Saunders, 1990.

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48

Laboratory Manual to Accompany Auditing It Infrastructure for Compliance. Jones & Bartlett Publishers, 2012.

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49

International, Strategic Directions, ed. Laboratory information management systems (LIMS) in North America: Fourth annual survey of end-users. [Los Angeles]: Strategic Directions International, 1997.

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50

Bridge Management Information Systems Laboratory: Research that is essential, indispensable, and connected to our customers. [McLean, Va: U.S. Dept. of Transportation, Federal Highway Administration, Turner-Fairbank Highway Research Center, Office of Infrastructure R&D, 2003.

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