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1

Parallel execution of Parlog. Berlin: Springer-Verlag, 1992.

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2

Adams, Loyce M. Reordering computations for parallel execution. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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3

Parallel execution of logic programs. Boston: Kluwer Academic Publishers, 1987.

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4

Conery, JohnS. Parallel execution of logic programs. Boston, Mass: Kluwer, 1987.

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5

Conery, John S. Parallel Execution of Logic Programs. Boston, MA: Springer US, 1987.

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6

Beaumont, A., and G. Gupta, eds. Parallel Execution of Logic Programs. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-55038-0.

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7

Conery, John S. Parallel Execution of Logic Programs. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1987-0.

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8

Execution models of Prolog for parallel computers. Cambridge, Mass: MIT Press, 1990.

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9

Kacsuk, Péter. Execution models of Prolog for parallel computers. London: Pitman, 1990.

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10

Sun, Xian-He. The reliability of scalability and execution time. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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11

P, Smith Robert. Deciding between sequential and parallel tasks in engineering design. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1995.

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12

Drozdowski, Maciej. Selected problems of scheduling tasks in multiprocessor computer systems. Poznań: Politechnika Poznańska, 1997.

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13

Shasha, Dennis. Efficient and correct execution of parallel programs that share memory. New York: Courant Institute of Mathematical Sciences, New York University, 1986.

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14

Crowley, Kay. Run-time scheduling and execution of loops on message passing machines. Hampton, Va: ICASE, 1989.

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15

Nicol, David. Static assignment of complex stochastic tasks using stochastic majorization. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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16

Little, Brian S. A technique for predictable real-time execution in the AN/UYS-2 parallel signal processing architecture. Monterey, Calif: Naval Postgraduate School, 1991.

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17

Dubanov, Aleksandr. Simulation of pursuit and parallel approach methods in pursuit problems. ru: Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02071-5.

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This monograph publishes a description of methods and algorithms for pursuit problems on surfaces. Simulation of tasks in the Mathcad programming environment was made. The development of digital technologies makes it possible to simulate a variety of problems from the theory of differential games. As a result of computer modeling, a lot of animation videos were obtained, which allow you to see the algorithmic solutions proposed by the author in pursuit problems. The monograph can be useful for students of technical universities, graduate students and developers of robotic systems with elements of artificial intelligence.
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18

Afanas'ev, Mihail, Mihail Bendikov, and Stanislav Korunov. Fundamentals of the economy of space activities. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1018193.

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The textbook describes in detail the classification of space goods and services, the segments and sectors of the global space market, the development prospects and the positioning of Russian enterprises in them. The methodological feature of the course consists in new approaches to the segmentation of the market and areas of space activities, identifying their deep relationships with the space industry. The practical side of the course is aimed at studying the methodology and practice of space project management, space pricing, organization of placement and execution of space government orders, and market analytics. The tutorial contains test questions for each chapter, test tasks, and a wide selection of topics for course design. The subject of the course papers is related to the specific activities of the enterprises of the space industry. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for third-year undergraduate and graduate students specializing in the field of training 38.03.01 and 38.04.01 "Economics" in the specialties "Economics of Space activities", "Economics of high-tech industries".
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19

Parallel Execution of Parlog. Berlin/Heidelberg: Springer-Verlag, 1992. http://dx.doi.org/10.1007/bfb0022706.

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20

Matthew, Haines, and Institute for Computer Applications in Science and Engineering., eds. Runtime support for data parallel tasks. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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21

Matthew, Haines, and Institute for Computer Applications in Science and Engineering., eds. Runtime support for data parallel tasks. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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22

Kacsuk, Peter. Execution Models of Prolog for Parallel Computers. Pearson Education, Limited, 1990.

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23

Philip, Heidelberger, Nicol David, and Institute for Computer Applications in Science and Engineering., eds. Parallelized direct execution simulation of message-passing parallel programs. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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24

Hybrid Parallel Execution Model for Logic-Based Specification Languages. World Scientific Publishing Company, 2001.

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25

Philip, Heidelberger, Nicol David M, and Institute for Computer Applications in Science and Engineering., eds. Parallelized direct execution simulation of message-passing parallel programs. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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26

Center, Langley Research, ed. Execution models for mapping programs onto distributed memory parallel computers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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27

Joel, Saltz, Scroggs Jeffrey S, and Langley Research Center, eds. Execution time support for adaptive scientific algorithms on distributed memory machines. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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28

Chang, Si-En. Extended restricted and-parallelism execution model and abstract machine for logic programming. 1990.

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29

1959-, Beaumont A., Gupta G. 1963-, and International Conference on Logic Programming (8th : 1991 : Paris, France), eds. Parallel execution of logic programs: ICLP '91 pre-conference workshop, Paris, June 24, 1991 : proceedings. Berlin: Springer-Verlag, 1991.

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30

United States. National Aeronautics and Space Administration., ed. Checkpoint-based forward recovery using lookahead execution and rollback validation in parallel and distributed systems. [Urbana, IL]: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1994.

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31

Checkpoint-based forward recovery using lookahead execution and rollback validation in parallel and distributed systems. [Urbana, IL]: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1994.

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32

United States. National Aeronautics and Space Administration., ed. Checkpoint-based forward recovery using lookahead execution and rollback validation in parallel and distributed systems. [Urbana, IL]: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1994.

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33

Vaghi, M. M., and T. W. Robbins. Task-Based Functional Neuroimaging Studies of Obsessive-Compulsive Disorder: A Hypothesis-Driven Review. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0022.

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The neurobiological basis of Obsessive Compulsive Disorder (OCD) has been probed using functional magnetic resonance in hundreds of studies over three decades. This complex literature can be syntheized using a theory-informed approach. At a theoretical level, separable, independent, constructs of relevance to OCD have been identified. At the experimental level, extensive translational evidence has provided an account that relates specific brain systems to these neuropsychological constructs. Parallels between neural substrates implicated in OCD and functional specialization of different brain regions suggest that abnormalities within fronto-striatal circuitry impinge on executive functions, and their subcomponents, and on goal-directed learning and habit formation. In OCD, this is reflected at a functional level in patterns of abnormal activations in particular brain regions during specific cognitive tasks. However, many issues still need to be addressed. The authors suggest that the experimental context might represent a pivotal variable that should be taken into account.
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34

(Editor), Anthony Beaumont, Gopal Gupta (Editor), and A. Beaumont (Other Contributor), eds. Parallel Execution of Logic Programs: Iclp '91 Pre-Conference Workshop, Paris, June 24, 1991 Proceedings (Lecture Notes in Medical Informatics). Springer, 1991.

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35

Beaumont, A. Parallel Execution of Logic Programs: Iclp '91 Pre-Conference Workshop Paris, June 24, 1991 Proceedings (Lecture Notes in Computer Science). Springer, 1992.

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36

Peers, Jane Catherine. Simulation program generation for an array processor: A continuous system simulation program-generator producing FORTRAN and parallel assembler code for fast execution on a peripheral array processor. Bradford, 1985.

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37

Uittenhove, Kim, and Patrick Lemaire. Numerical Cognition during Cognitive Aging. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.045.

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This chapter provides an overview of age-related changes and stabilities in numerical cognition. For each component (i.e. approximate and exact number system, quantification, and arithmetic) of numerical cognition, we review changes in participants’ performance during normal and pathological aging in a wide variety of tasks (e.g. number comparison, subitizing, counting, and simple or complex arithmetic problem-solving). We discuss both behavioral and neural mechanisms underlying these performance variations. Moreover, we highlight the importance of taking into account strategic variations. Indeed, investigating strategy repertoire (i.e. how young and older adults accomplish numerical cognitive tasks), selection (i.e. how participants choose strategies on each problem), execution (i.e. how strategies are implemented once selected), and distribution (i.e. how often participants use each available strategy) enables to determine sources of aging effects and individual differences in numerical cognition. Finally, we discuss potential future research to further our understanding of age-related changes in numerical cognition.
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38

Altenmüller, Eckart, and Sabine Schneider. Planning and performance. Edited by Susan Hallam, Ian Cross, and Michael Thaut. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199298457.013.0031.

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Making music is one of the most demanding tasks for the human central nervous system. It involves the precise execution of very fast and, in many instances, extremely complex physical movements that must be coordinated with continuous auditory feedback. Practice is required to develop these skills and carry out these complex tasks. This article discusses the neurobiological foundations of planning, motor learning, and practice. The first section introduces essential general information for musical readers concerning the organization of cortical, subcortical, and cerebellar motor systems in the brain. The second section addresses the brain processes during acquisition of skilled movements in music making and demonstrates the dynamics of neuronal networks. The third section reports new findings on practice strategies and performance quality. The fourth section presents the causes of degradation of skilled movements in professional musicians. The article concludes with some comments concerning the significance of results of brain research in order to improve practice habits and performance in musicians.
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