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Books on the topic 'GRASPS model'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

West, Margery. Social graces: Molding the model dog. Limerick Publications, 1990.

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2

Massachusetts. Executive Office of Communities and Development. EOCD model grant book. The Office, 1993.

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3

Instruction, Montana Office of Public. Model teaching units: Mathematics : grades K-6. Montana Office of Public Instruction, 2010.

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4

California. State Department of Education, ed. Model curriculum standards, grades nine through twelve. California State Dept. of Education, 1985.

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5

Montana. Office of Public Instruction. Model teaching units: Mathematics : grades 7-12. Montana Office of Public Instruction, 2010.

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6

Montana. Office of Public Instruction. Model teaching units: Mathematics : grades 7-12. Montana Office of Public Instruction, 2010.

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7

Montana. Office of Public Instruction. Model teaching units: Mathematics : grades K-6. Montana Office of Public Instruction, 2010.

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8

California. State Dept. of Education., ed. Model curriculum standards: Grades nine through twelve. California State Dept. of Education, 1985.

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9

Patricia, Wynne, ed. The Amazing earth model book: Easy-to-make, hands-on models that teach. Scholastic Professional Books, 1997.

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10

J, Folwell Raymond, and Washington State University. College of Agriculture and Home Economics. Research Center., eds. Concord grape forecasting models. Washington State University, College of Agriculture and Home Economics Research Center, 1992.

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11

Kolodziej, Nancy J. Learning station models for middle grades. National Middle School Association, 2010.

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12

Kolodziej, Nancy J. Learning station models for middle grades. National Middle School Association, 2010.

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13

Kolodziej, Nancy J. Learning station models for middle grades. National Middle School Association, 2010.

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14

Goudriaan, René. A principal-agent model of conditional grants. Erasmus University Rotterdam, 1990.

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15

Otroshko, Sergey, Alexey Shevtsov, Vladimir Kosolapov, and Nelly Georgiadi. The Patents of the Federal Scientific Center "VIK named after V. R. Williams" 2000–2024. Federal Williams Research Center of Forage Production and Agroecology, 2024. http://dx.doi.org/10.33814/catalog-2024-80.

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The catalog contains descriptions of patents of the Federal Scientific Center “VIK im. In R. Williams" on inventions and utility models for the period 2000–2024. in the field of mechanization, canning and storage of feed, field and meadow feed production, selection and seed production processes, procurement and storage of high-quality bulk feed, grass meal, feed sampling, and manure disposal. Each publication about a patent for an invention (utility model) contains the name of the invention (utility model), International Patent Classification (IPC) indices, patent number, application number, p

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16

Samantaray, Arun K. Model-based process supervision: A bond graph approach. Springer, 2008.

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17

Mirko, Strazicich, California. State Board of Education., and California. State Dept. of Education. Language Arts and Foreign Language Unit., eds. English-language arts: Model curriculum standards : grades nine through twelve. 2nd ed. California State Dept. of Education, 1991.

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18

Irene, Guzman, and Tomlinson Carol A, eds. Using the parallel curriculum model in urban settings, grades K-8. Corwin Press, 2009.

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19

CALIFORNIA STATE DEPARTMENT OF EDUCATION. California career technical education model curriculum standards: Grades seven through twelve. California Dept. of Education, 2006.

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20

Kaplan, Sandra N. Using the parallel curriculum model in urban settings, grades K-8. Corwin Press, 2009.

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21

Kaplan, Sandra N. Using the parallel curriculum model in urban settings, grades K-8. Corwin, 2009.

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22

Kaplan, Sandra N. Using the parallel curriculum model in urban settings, grades K-8. Corwin, 2009.

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23

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th

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24

W, Knowlton Lisa, ed. The logic model guidebook: Better thinking for great results. Sage Publications, 2009.

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25

Hersch, Sherrin B. Working with the array, grades 3-5: Mathematical models. Heinemann, 2005.

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26

Management Analysis & Planning Associates. A proposed cost-based block grant model for Wyoming school finance. Management Analysis & Planning Associates, 1997.

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27

Bennett, Keree M. B., 1960- and Castiello Umberto 1959-, eds. Insights into the reach to grasp movement. North-Holland, 1994.

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28

Dror, Moshe. Directed Steiner tree problem on a graph: Models, relaxations, and algorithms. Naval Postgraduate School, 1988.

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29

Borutzky, Wolfgang. Bond graph methodology: Development and analysis of multidisciplinary dynamic system models. Springer, 2010.

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30

Kavi, Krishna M. Reliability models for dataflow computer systems. National Aeronautics and Space Administration, Ames Research Center, 1985.

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31

Washington (State). Toxics Cleanup Program. Model Toxics Control Act remedial action grants: Alternative financing evaluation. Toxics Cleanup Program, 2010.

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32

Antonia, Cameron, ed. Working with the ratio table, grades 5-8: Mathematical models. Heinemann, 2006.

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33

Koldaev, Viktor. Theoretical and methodological aspects of the use of information technologies in education. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014651.

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The article summarizes the experience of implementing a personality-oriented approach to the formation of a structural and content model of the educational process at the university. The results of the introduction of information technologies and their services in the field of education are presented, as well as the impact of computerization on the quality of education in the framework of the modern educational paradigm. The priority directions of innovative educational strategies of the university are identified and a graph model of the individual educational route of the student is proposed

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34

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Soft constraints: exponential random graph models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0004.

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Exponential random graph models (ERGMs) provide conceptually elegant recipes for generating soft-constrained random graphs. This chapter begins by explaining the theory and describing how to properly specify an ERGM, including demonstrating Lagrange’s method to derive the values of the model parameters that correspond to the desired constraints. Three ERGMs, all with constraints depending linearly on the adjacency matrix, are solved exactly: the targeted total number of links, targeted individual node degrees and targeted number of two-way links in a directed graph. However, when the controlle

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35

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Specific constructions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0009.

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This chapter presents network-generating models which cannot be neatly categorized as growing, nor as defined primarily through a target degree distribution. They are best understood as mechanistic constructions designed to elucidate a particular feature of the network. In the first sub-section, the Watts–Strogatz model is introduced and motivated as a construction to achieve both a high degree of clustering and a low average path length. Geometric graphs, in their Euclidian flavour, are shown to be a natural choice for broadcast networks. The Hyperbolic variant is informally described, becaus

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36

Hofer, Amy R., Silvia Lin Hanick, and Lori Townsend. Transforming Information Literacy Instruction. ABC-CLIO, LLC, 2018. http://dx.doi.org/10.5040/9798216027096.

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Provides information literacy practitioners with a thorough exploration of how threshold concepts can be applied to information literacy, identifying important elements and connections between each concept, and relating theory to practical methods that can transform how librarians teach. A model that emerged from the Enhancing Teaching-Learning Environments project in Great Britain, threshold concepts are those transformative core ideas and processes in a given discipline that define the ways of thinking and practicing shared by experts. Once a learner grasps a threshold concept, new pathways

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37

Chekhov, Leonid. Two-dimensional quantum gravity. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.30.

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This article discusses the connection between large N matrix models and critical phenomena on lattices with fluctuating geometry, with particular emphasis on the solvable models of 2D lattice quantum gravity and how they are related to matrix models. It first provides an overview of the continuum world sheet theory and the Liouville gravity before deriving the Knizhnik-Polyakov-Zamolodchikov scaling relation. It then describes the simplest model of 2D gravity and the corresponding matrix model, along with the vertex/height integrable models on planar graphs and their mapping to matrix models.

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38

Coolen, Ton, Alessia Annibale, and Ekaterina Roberts. Generating Random Networks and Graphs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.001.0001.

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This book supports researchers who need to generate random networks, or who are interested in the theoretical study of random graphs. The coverage includes exponential random graphs (where the targeted probability of each network appearing in the ensemble is specified), growth algorithms (i.e. preferential attachment and the stub-joining configuration model), special constructions (e.g. geometric graphs and Watts Strogatz models) and graphs on structured spaces (e.g. multiplex networks). The presentation aims to be a complete starting point, including details of both theory and implementation,

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39

Newman, Mark. Random graphs. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0011.

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An introduction to the mathematics of the Poisson random graph, the simplest model of a random network. The chapter starts with a definition of the model, followed by derivations of basic properties like the mean degree, degree distribution, and clustering coefficient. This is followed with a detailed derivation of the large-scale structural properties of random graphs, including the position of the phase transition at which a giant component appears, the size of the giant component, the average size of the small components, and the expected diameter of the network. The chapter ends with a dis

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40

Model Curriculum Standards, Grades 9-12. California Dept of Education, 1985.

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41

CALIFORNIA STATE DEPARTMENT OF EDUCATION. Model Curriculum Standards, Grades 9-12. California Department of Education, 1985.

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42

McCleary, Richard, David McDowall, and Bradley J. Bartos. Forecasting. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0004.

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Chapter 4 downplays forecasting’s role in the design and analysis of time series experiments and emphasizes its potential abuses. While the “best” ARIMA model will outperform other forecasting models in the short and medium-run, long-horizon ARIMA forecasts grow increasingly inaccurate with diminished utility to the forecaster. Although the principles of forecasting help provide deeper insight into the nature of ARIMA models and modeling, the forecasts themselves are ordinarily of limited practical value. Forecasting can provide useful guidance to analysts choosing between two competing univar

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43

Model Smoking Prevention Program, Grades 5-8. Hazelden Publishing, 2016.

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44

Craig, Diana. Making Models. Walter Foster Pub, 1997.

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45

Newman, Mark. The configuration model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0012.

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A discussion of the most fundamental of network models, the configuration model, which is a random graph model of a network with a specified degree sequence. Following a definition of the model a number of basic properties are derived, including the probability of an edge, the expected number of multiedges, the excess degree distribution, the friendship paradox, and the clustering coefficient. This is followed by derivations of some more advanced properties including the condition for the existence of a giant component, the size of the giant component, the average size of a small component, an

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46

Physical Education Model Curriculum Standards, Grades 9-12. California Department of Education, 1991.

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47

Wynne, Patricia, and Donald M. Silver. The Amazing Earth Model Book (Grades 3-6). Scholastic, 1999.

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48

Physical Education Model Curriculum Standards, Grades 9-12. California Dept of Education, 1991.

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49

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Applications of random graphs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0011.

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This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case stu

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50

Bright Start Bright Start Press. Handwriting Practice Paper: Sky, Grass, Earth Model Differentiated Handwriting Paper. Independently Published, 2021.

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