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1

Center, Langley Research, and United States. National Aeronautics and Space Administration., eds. Independent analysis of the space station node modal test data. National Aeronautics and Space Administration, Langley Research Center, 1997.

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2

Reed, Carl N. MOSS arc/node and DBMS design document: Final draft. Autometric, Inc., 1985.

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3

Institute, SAS, ed. SAS/CPE software for open systems: Getting started with HP OpenView network node manager data, IBM NetView for AIX data, and Cabletron systems SPECTRUM data. SAS Institute, 1996.

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4

Solutions, SAS Business, ed. SAS/CPE software for open systems: Getting started with HP OpenView network node manager data. SAS Business Solutions, 1996.

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5

K, Kokula Krishna Hari, ed. Secure Data Transmission through Trusted Node in Mantes using AODV Routing Algorithm: SATEM: ICCS 2014. Association of Scientists, Developers and Faculties, 2014.

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6

United States. National Aeronautics and Space Administration., ed. INDEPENDENT ANALYSIS OF THE SPACE STATION NODE MODEL TEST DATA... NASA/TM-97-206262... JAN. 26, 1998. s.n., 1999.

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7

Halton, Christopher H. An effectiveness study for prioritization algorithms in a communications node model for the Copernicus Tactical Data Information Exchange System (TADIXS). Naval Postgraduate School, 1997.

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8

French, Richard G. Submission of earth-based ring occultation observations to the NASA planetary data system rings discipline node: Technical report, period covered by report, 1 July 1992 - 30 June 1993. National Aeronautics and Space Administration, 1993.

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9

United States. National Aeronautics and Space Administration., ed. Submission of earth-based ring occultation observations to the NASA planetary data system rings discipline node: Technical report, period covered by report, 1 July 1992 - 30 June 1993. National Aeronautics and Space Administration, 1993.

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10

United States. National Aeronautics and Space Administration., ed. Submission of earth-based ring occultation observations to the NASA planetary data system rings discipline node: Technical report, period covered by report, 1 July 1992 - 30 June 1993. National Aeronautics and Space Administration, 1993.

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11

Breaker, L. C. A note on processing sea level data. Naval Postgraduate School, 1986.

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12

Macioszek, Elżbieta, Nan Kang, and Grzegorz Sierpiński, eds. Nodes in Transport Networks – Research, Data Analysis and Modelling. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39109-6.

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13

Hamid, A. Ghani. An Artist's note. Association of Artists of Various Resources, 1991.

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14

Wright, Robert E. Using census data to examine aboriginal issues: A methodological note. Glasgow University, Department of Political Economy, 1993.

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15

Tangari, Nicola. La codifica delle note: Analisi e diffusione dei dati musicali. Bulzoni, 1996.

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16

Ana, Pându, ed. Que nome darei ao meu filho?: Inflûencia do nome, data do santo, diminutivos, etimologia, significado, variantes, história. 2nd ed. Ediouro, 1999.

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17

Great Britain. Department of the Environment., ed. The community charge: Data protection and the community charge (2) : practice note. Department of the Environment, 1988.

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18

Yadav, Kshitij. Ultrasound Data Communications for Ultra-low-power Wake-up in Sensor Nodes. [publisher not identified], 2012.

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19

Geologicheskiĭ institut (Rossiĭskai︠a︡ akademii︠a︡ nauk), ed. Alteration effects in the upper oceanic crust: Data and comments : technical note. GEOS, 2008.

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20

Levitus, Sydney. Results of the NODC and IOC Oceanographic data archaeology and rescue projects: Report 1. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.

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21

Sydney, Levitus, and United States. National Environmental Satellite, Data, and Information Service., eds. Results of the NODC and IOC oceanographic data archaeology and rescue projects: Report 1. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.

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22

Sydney, Levitus, and United States. National Environmental Satellite, Data, and Information Service., eds. Results of the NODC and IOC Oceanographic data archaeology and rescue projects: Report 1. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.

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23

Panaretos, Christopher. Analyzing Double Knockdown Data: 3 Node 2 Connection 2 State. Independently Published, 2017.

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24

The GeoConnections Policy Advisory Node: Policy solutions for enhancing geospatial data use. GeoConnections, 2003.

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25

Pierce, Linda. 93AA46AE48 1K Microwire Serial EEPROM with EUI-48 Node Identity Data Sheet. Microchip Technology Incorporated, 2018.

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26

Xu, Yan. Implementation of display control node for a distributed microcontroller network. 1990.

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27

Panaretos, Christopher. Analyzing Single Knockdown Data in Biology Experiments: 2 Node, 1 Connection, 2 State. Independently Published, 2017.

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28

Panaretos, Christopher. Analyzing Single Knockdown Data in Biology Experiments: 2 Node, 1 Connection, 2 State. Independently Published, 2017.

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29

The Node for Secondary Processing: A comparative research infrastructure. National Centre for Social Research, 2005.

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30

Thompson, Mick. Getting Started with GEO, CouchDB, and Node. Js: New Open Source Tools for Location Data. O'Reilly Media, Incorporated, 2011.

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31

SAS/CPE software for open systems: Getting started with HP OpenView network node manager data. SAS Business Solutions, 1995.

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32

Operation of the planetary plasma interactions node of the planetary data system: Final technical report, period of award: 4/01/95 - 3/31/97, grant number: NAGW-4615. National Aeronautics and Space Administration, 1997.

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33

Tharakan, Linoy A. Certain Power Management Algorithms for Wireless Sensor Networks by Energy Efficient Data Transmission, Security and Node Deployment. GRIN Verlag GmbH, 2018.

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34

Pierce, Linda. 11AA02E48/11AA02E64 2K UNI/o Serial EEPROMs with EUI-48 or EUI-64 Node Identity Data Sheet. Microchip Technology Incorporated, 2018.

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35

Pierce, Linda. 25AA02E48/25AA02E64 2K SPI Bus Serial EEPROMs with EUI-48 and EUI-64 Node Identity Data Sheet. Microchip Technology Incorporated, 2018.

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36

Pierce, Linda. 24AA02E48/24AA025E48/24AA02E64/24AA025E64 2K I2C Serial EEPROMs with EUI-48 or EUI-64 Node Identity Data Sheet. Microchip Technology Incorporated, 2018.

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37

Web Development with MongoDB and Node - Third Edition: Build fast web applications for handling any kind of data. Packt Publishing - ebooks Account, 2017.

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38

Zimmermann, Eva. Subtractive MLM and Prosodically Defective Morphemes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198747321.003.0003.

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It is shown how the theory of PDM accounts for instances of subtractive MLM—the empirical phenomenon that is notoriously challenging for the claim that morphology is additive. Two general mechanisms inside PDM can predict subtractive MLM: usurpation of moras and the defective integration of morphemic prosodic nodes. Usurpation can arise if a segment underlyingly lacks a mora and ‘usurps’ it from a neighbouring segment that is hence deprived of it. In the second scenario, a prosodic node that is underlyingly not integrated into the higher/lower prosodic structure is affixed to a base and remain
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39

An Effectiveness Study for Prioritization Algorithms in a Communications Node Model for the Copernicus Tactical Data Information Exchange System (TADIXS). Storming Media, 1997.

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40

Newman, Mark. Network statistics and measurement error. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0009.

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This chapter introduces the mathematics of network statistics, the quantification of errors in network data, and the estimation of network structure in the presence of error. The discussion starts with a summary of the types of error that can occur in network data and the empirical sources of those errors. The remainder of the chapter is given over to a discussion of the theory of network statistics, beginning with a review of the theory for ordinary real-valued (non-network) data, then developing the expectation-maximization (EM) algorithm for estimating network structure and error levels in
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41

Leadership, Management and Data Strategy: Unix Systems Programming, Lisp, Logic Programming, Lua, Matlab, MEAN Stack,TR5 MFC, Mobile Development, Network Programming, Node. js, Object-Oriented Development and Objective C. Independently Published, 2022.

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42

Neapolitan, Richard, and Xia Jiang. The Bayesian Network Story. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.31.

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Bayesian networks are now among the leading architectures for reasoning with uncertainty in artificial intelligence. This chapter concerns their story, namely what they are, how and why they came into being, how we obtain them, and what they actually represent. First, it is shown that a standard application of Bayes’ Theorem constitutes inference in a two-node Bayesian network. Then more complex Bayesian networks are presented. Next the genesis of Bayesian networks and their relationship to causality is presented. A technique for learning Bayesian networks from data follows. Finally, a discuss
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43

Blömer, Michael, Stefan Riedel, Miguel John Versluys, and Engelbert Winter, eds. Common Dwelling Place of all the Gods. Commagene in its Local, Regional and Global Hellenistic Context. Franz Steiner Verlag, 2021. http://dx.doi.org/10.25162/9783515129268.

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The history and archaeology of Hellenistic Commagene is a rich field of study, not in the least because of the remarkable monuments and inscriptions of king Antiochos I (c. 70–36 BC). Over the last decades important new work has been done on Commagene proper, providing novel interpretations of the epigraphical and historical record or the archaeological data and individual sites, like Nemrud Dağ, Samosata or Arsameia. Simultaneously scholars have tried to better understand Hellenistic Commagene by situating the region and its history in a wider Mediterranean and Near Eastern context. This long
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44

Doss, Christopher, and William Johnston. AEP Data Note Technical Appendix. RAND Corporation, 2018. http://dx.doi.org/10.7249/rr2575.1.

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45

Fund, International Monetary. Australia: Information Note on Fiscal Data. International Monetary Fund, 2006.

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46

Johnston, William, and Christopher Doss. AEP Data Note Technical Appendix 2. RAND Corporation, 2019. http://dx.doi.org/10.7249/rr2575.10.

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47

Asia and Pacific Department Staff International Monetary Fund. Australia: Information Note on Fiscal Data. International Monetary Fund, 2006.

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48

Staff, International Monetary Fund. Australia: Information Note on Fiscal Data. International Monetary Fund, 2006.

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49

Kemedi, Chandra Shekar. Relay Nodes in Big-Data Wireless Sensor. GRIN Verlag GmbH, 2014.

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50

Seatzu, Francesco. Introductory Note. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190848194.003.0027.

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The year 2015 was characterized by some important development in the European Court of Justice’s (ECJ) case law as a whole, and in particular the case law on fundamental rights, citizenship, institutional issues, protection of personal data, and social policy and rights issues. Noteworthy is that the ECJ finally issued its landmark and long-awaited judgment in the Maximillian Schrems case that led to the invalidation of the ‘safe harbour’ system, namely, one of the mechanisms in the last fifteen years for personal data transfers from the European Union to US entities having voluntary self-cert
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