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Journal articles on the topic 'Functional model'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Horák, Karel, and Vladimír Müller. "Functional model for commuting isometries." Czechoslovak Mathematical Journal 39, no. 2 (1989): 370–79. http://dx.doi.org/10.21136/cmj.1989.102308.

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2

Rodina, Galina, and Vladimir Rodin. "Non-functional demand model vs functional demand model: prospects for competitiveness in a transforming world." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 5, no. 1 (2024): 4–13. http://dx.doi.org/10.52957/2782-1927-2024-5-1-4-13.

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The purpose of the article is to analyse the problem of changing the relationship between non-functional and functional demand. The main task of the presented research is to define the most competitive model (based on functional or non-functional demand) of consumer behaviour in the conditions of the economy of the 20s of the XXI century. To solve this problem, we studied the structure of consumer demand: functional and non-functional ones. We identified the features of non-functional demand, and considered the reasons for its expansion in modern society. Moreover, paper highlights fixing chan

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3

Lei, Y., and S. Y Zhang. "Comparison and selection of growth models using the Schnute model." Journal of Forest Science 52, No. 4 (2012): 188–96. http://dx.doi.org/10.17221/4501-jfs.

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Forestmodellers have long faced the problem of selecting an appropriate mathematical model to describe tree ontogenetic or size-shape empirical relationships for tree species. A common practice is to develop many models (or a model pool) that include different functional forms, and then to select the most appropriate one for a given data set. However, this process may impose subjective restrictions on the functional form. In this process, little attention is paid to the features (e.g. asymptote and inflection point rather than asymptote and nonasymptote) of different functional forms, and to t

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4

Tryhuk, Václav. "Functional equations and a theoretical model of DLTS." Applications of Mathematics 40, no. 6 (1995): 473–82. http://dx.doi.org/10.21136/am.1995.134308.

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5

Cardot, Hervé, Frédéric Ferraty, and Pascal Sarda. "Functional linear model." Statistics & Probability Letters 45, no. 1 (1999): 11–22. http://dx.doi.org/10.1016/s0167-7152(99)00036-x.

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6

Bücher, Axel, Holger Dette, and Gabriele Wieczorek. "Testing model assumptions in functional regression models." Journal of Multivariate Analysis 102, no. 10 (2011): 1472–88. http://dx.doi.org/10.1016/j.jmva.2011.05.014.

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7

o‘g‘li, Khujakulov Anvar Karomatullo. "FUNCTIONAL-STRUCTURAL MODEL OF FORMATION OF HYPOTHETICAL THINKING IN STUDENTS." European International Journal of Pedagogics 4, no. 12 (2024): 164–69. https://doi.org/10.55640/eijp-04-12-37.

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This article is an analysis of the theoretical foundations of the development of a functional-structural model of the process of forming hypothetical thinking in students of technical specialties. The first stage of developing the model involves the identification of interrelated components, including necessary and sufficient elements aimed at achieving the planned result - a transition to a higher level of formation of hypothetical thinking in students. The next stage is the graphic construction of the model, which consists in combining all its elements and visually reflecting the order of in

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8

Elida, Fuster Guillén Doris. "New functional model of research skills in social problem solving." International Journal of Early Childhood Special Education 12, no. 1 (2020): 442–51. http://dx.doi.org/10.9756/int-jecse/v12i1.201024.

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9

Sorokina, O. O. "FUNCTIONAL COMPETENCE FORMATION MODEL." Educational Dimension 24 (February 10, 2009): 243–49. http://dx.doi.org/10.31812/educdim.6041.

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10

Lee, Kuang‐Yao, and Lexin Li. "Functional structural equation model." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 84, no. 2 (2022): 600–629. http://dx.doi.org/10.1111/rssb.12471.

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11

James, Gareth M., and Bernard W. Silverman. "Functional Adaptive Model Estimation." Journal of the American Statistical Association 100, no. 470 (2005): 565–76. http://dx.doi.org/10.1198/016214504000001556.

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12

Lian, Heng. "Functional partial linear model." Journal of Nonparametric Statistics 23, no. 1 (2011): 115–28. http://dx.doi.org/10.1080/10485252.2010.500385.

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13

Quinn, James H. "A functional TMJ model." Journal of the American Dental Association 120, no. 3 (1990): 234. http://dx.doi.org/10.14219/jada.archive.1990.0062.

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14

Zouagui, T., H. Benoit-Cattin, and C. Odet. "Image segmentation functional model." Pattern Recognition 37, no. 9 (2004): 1785–95. http://dx.doi.org/10.1016/j.patcog.2003.12.014.

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15

Kennedy, John, Stephen M. Matyas, and Nevenko Zunic. "Key Recovery Functional Model." Computers & Security 19, no. 1 (2000): 31–36. http://dx.doi.org/10.1016/s0167-4048(00)86360-9.

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16

Orman, Levent. "Functional data model design." Information Systems 11, no. 2 (1986): 123–35. http://dx.doi.org/10.1016/0306-4379(86)90002-5.

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17

HIRAMATSU, Shigeki, Shizuo SUMIDA, and Akio NAGAMATSU. "Hierarchical Functional Model for Automobile Development. 3rd Report. Functional Model of Drivetrain." Transactions of the Japan Society of Mechanical Engineers Series C 68, no. 671 (2002): 2090–97. http://dx.doi.org/10.1299/kikaic.68.2090.

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18

Hendrix, Barry, Thomas Lewis, Melissa Emery, and Brian Rachele. "Model Based Functional Safety – How Functional Is It?" Journal of System Safety 57, no. 2 (2022): 32–38. http://dx.doi.org/10.56094/jss.v57i2.192.

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As the engineering world embraces Model Based System Engineering (MBSE), the system safety discipline should also enfold and support MBSE methodology and approaches. The need for Model Based Functional safety, as part of the established system safety and software safety process, is becoming apparent due to existing and developing system design complexity. This paper is intended to show how valuable Model Based Functional Safety approaches can be when evaluating safety signification functions of complex software-intensive integrated systems. Using models can improve the accuracy during the Func

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19

Sadasivam, R., C. Kailasam, R. Chandrababu, A. Arjunan, M. Nagarajan, and Rangasamy S. R. Sree. "Developing a Functional Model of Rice Panicle Growth." International Rice Research Newsletter 15, no. 5 (1990): 9. https://doi.org/10.5281/zenodo.7214485.

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This article 'Developing a Functional Model of Rice Panicle Growth' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.

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20

Miková, Ľubica. "DESIGN OF A FUNCTIONAL MODEL OF A THREE-WHEELED MOBILE ROBOT." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 3(33) (2023): 53–58. http://dx.doi.org/10.25140/2411-5363-2023-3(33)-53-58.

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Mobile wheeled robots are one of the most widespread group of service robots today. The simplicity of their design and their ability to better negotiate difficult terrain places them at the forefront. In practice, it is possible to find a variety of mobilewheeled robots, which differ from each other in the number and arrangement of wheels, the variety of structural design, or the suspension of the wheels and their suspension. Current statistics confirm that mobile service robots on wheeled chassis are themost numerous design of all realized applications, technical practice has filled with the

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21

Zhu, Hongxiao, Philip J. Brown, and Jeffrey S. Morris. "Robust, Adaptive Functional Regression in Functional Mixed Model Framework." Journal of the American Statistical Association 106, no. 495 (2011): 1167–79. http://dx.doi.org/10.1198/jasa.2011.tm10370.

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22

Wang, Guochang, Baoxue Zhang, Wenhui Liao, and Baojian Xie. "Estimation of functional regression model via functional dimension reduction." Journal of Computational and Applied Mathematics 379 (December 2020): 112948. http://dx.doi.org/10.1016/j.cam.2020.112948.

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23

HIRAMATSU, Shigeki, Shizuo SUMIDA, Akio NAGAMATSU, and Hiroyuki ARAKAWA. "Hierarchical Functional Model for Automobile Development. 2nd Report. Functional and Mechanical Models of Engine." Transactions of the Japan Society of Mechanical Engineers Series C 68, no. 671 (2002): 2082–89. http://dx.doi.org/10.1299/kikaic.68.2082.

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24

Malfait, Nicole, and James O. Ramsay. "The historical functional linear model." Canadian Journal of Statistics 31, no. 2 (2003): 115–28. http://dx.doi.org/10.2307/3316063.

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25

Doronina, Inna, and Svetlana Londar. "Designing municipal library functional model." Scientific and Technical Libraries, no. 4 (April 1, 2016): 5–15. http://dx.doi.org/10.33186/1027-3689-2016-4-5-15.

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The conclusions on using functional modeling results for library processes modernization are presented. The authors prove that such functional models make the basis for efficient information services. The study was accomplished at Valuy district Intersettlement Library, Belgorod Oblast, Russia.

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26

Chaplinska, Iuliia. "FUNCTIONAL MODEL OF PARASOCIAL RELATIONS." Psychological journal 6, no. 5 (2020): 66–79. http://dx.doi.org/10.31108/1.2020.6.5.6.

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27

Саранчук, Юрий, Yuriy Saranchuk, Игорь Мукиенко, and Igor Mukienko. "FUNCTIONAL MODEL OF ADMINISTRATIVE LAW." Advances in Law Studies 6, no. 2 (2018): 20–25. http://dx.doi.org/10.29039/article_5b85b382a67ef7.08311690.

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The article considers a methodological approach to the analysis of administrative law as a system. The basis of this approach is the different content characteristic of the category "function" in the theory of administrative law. A brief overview of legal models based on the regulatory and protective functions of administrative law, public administration functions, and the functions of federal executive bodies is given.

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28

Kim, Janet S., Arnab Maity, and Ana-Maria Staicu. "Additive nonlinear functional concurrent model." Statistics and Its Interface 11, no. 4 (2018): 669–85. http://dx.doi.org/10.4310/sii.2018.v11.n4.a11.

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29

Hossein Keshavarz, Mohammad. "Halliday's Communicative-Functional Model Revisited." Communication Disorders Quarterly 22, no. 4 (2001): 187–96. http://dx.doi.org/10.1177/152574010102200404.

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30

Kulkarni, K. G. "EFDM: Extended Functional Data Model." Computer Journal 29, no. 1 (1986): 38–46. http://dx.doi.org/10.1093/comjnl/29.1.38.

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31

Blackburne, Benjamin P., and Jonathan D. Hirst. "Evolution of functional model proteins." Journal of Chemical Physics 115, no. 4 (2001): 1935–42. http://dx.doi.org/10.1063/1.1383051.

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32

Teipel, S., and B. Krebs. "A functional model for monooxygenases." Journal of Inorganic Biochemistry 47, no. 3-4 (1992): 60. http://dx.doi.org/10.1016/0162-0134(92)84158-j.

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33

Vasconcellos, Muriel. "A Functional Model of Translation." Babel. Revue internationale de la traduction / International Journal of Translation 32, no. 3 (1986): 134–45. http://dx.doi.org/10.1075/babel.32.3.03vas.

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34

Halevy, Nir, Eileen Y. Chou, and Adam D. Galinsky. "A functional model of hierarchy." Organizational Psychology Review 1, no. 1 (2011): 32–52. http://dx.doi.org/10.1177/2041386610380991.

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35

Daugherty, Patricia J., Dale S. Rogers, and Michael S. Spencer. "Just‐in‐time Functional Model." International Journal of Physical Distribution & Logistics Management 24, no. 6 (1994): 20–26. http://dx.doi.org/10.1108/09600039410066150.

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36

Brockhaus, Sarah, Fabian Scheipl, Torsten Hothorn, and Sonja Greven. "The functional linear array model." Statistical Modelling: An International Journal 15, no. 3 (2015): 279–300. http://dx.doi.org/10.1177/1471082x14566913.

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37

Ashurova, Dilyaram U. "Functional model of fictional text." Nizhnevartovsk Philological Bulletin 7, no. 2 (2022): 65–78. http://dx.doi.org/10.36906/2500-1795/22-2/06.

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The article is concerned with the problem of the functional potential of the fictional text, and its activation in the process of literary communication. The functions in terms of the basic, secondary and particular ones have been classified according to their conceptual significance. The functional model of the fictional text includes seven basic functions; aesthetic, communicative, stylistic, cognitive, social, cultural and interpretative, the first one playing the dominant role and subordinating others. The parameterization of the functional model has discovered it's basic characteristics:

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38

Escabias, M., A. M. Aguilera, and M. J. Valderrama. "Functional PLS logit regression model." Computational Statistics & Data Analysis 51, no. 10 (2007): 4891–902. http://dx.doi.org/10.1016/j.csda.2006.08.011.

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39

Chun, Alexa L., Lane J. Wallace, Michael C. Gerald, Alan J. Wein, and Robert M. Levin. "Functional whole rat bladder model." Neurourology and Urodynamics 8, no. 1 (1989): 73–83. http://dx.doi.org/10.1002/nau.1930080108.

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40

Revtova, E. G. "Functional Model of Credit System." Vestnik of the Plekhanov Russian University of Economics 20, no. 5 (2023): 50–61. http://dx.doi.org/10.21686/2413-2829-2023-50-61.

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The subject of the research is the process of credit functioning, its goal is to develop a functional model of credit system. The research hypothesis assumes that credit continuous development ensures its adaptation to the changing environment. Methodology of the research was made up by the universal academic method, i. e. the outline of functional system, the method of analogies and critical analysis of literature. Within the elaborated functional model of the credit system components of credit were identified: store unit, two units of subsystem and resources providing its adaptation to the i

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41

Soares, Rafael de P., and Renan P. Gerber. "Functional-Segment Activity Coefficient Model. 1. Model Formulation." Industrial & Engineering Chemistry Research 52, no. 32 (2013): 11159–71. http://dx.doi.org/10.1021/ie400170a.

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42

Kawamura, Shinsuke, Ken'ichi Koyanagi, Tatsuo Motoyoshi, Hiroyuki Masuta, and Toru Oshima. "Functional Verification with a Scale Model for Movable Type Power Assist System." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 165–66. http://dx.doi.org/10.1299/jsmeicam.2015.6.165.

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43

Tucci, Beatriz Ferreira Martins, and Magda Lúcia Félix de Oliveira. "Alcoholic beverage users: structural and functional aspects based on the Calgary Model." Revista da Rede de Enfermagem do Nordeste 20 (April 3, 2019): e40226. http://dx.doi.org/10.15253/2175-6783.20192040226.

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44

Rachdi, Mustapha, Mohamed Alahiane, Idir Ouassou, Abdelaziz Alahiane, and Lahoucine Hobbad. "Cross-Validated Functional Generalized Partially Linear Single-Functional Index Model." Mathematics 12, no. 17 (2024): 2649. http://dx.doi.org/10.3390/math12172649.

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In this paper, we have introduced a functional approach for approximating nonparametric functions and coefficients in the presence of multivariate and functional predictors. By utilizing the Fisher scoring algorithm and the cross-validation technique, we derived the necessary components that allow us to explain scalar responses, including the functional index, the nonlinear regression operator, the single-index component, and the systematic component. This approach effectively addresses the curse of dimensionality and can be applied to the analysis of multivariate and functional random variabl

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45

Xiao, Weiwei, Kejing Mao, and Haiyan Liu. "Generalized Partially Functional Linear Model with Interaction between Functional Predictors." Axioms 13, no. 9 (2024): 583. http://dx.doi.org/10.3390/axioms13090583.

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This paper proposes a generalized partially functional linear model with interaction terms. It is suitable for cases where the response variable is scalar, and the predictor variables include a mix of functional and scalar types, while considering the correlations among functional predictor variables. The model uses principal component analysis for dimensionality reduction, employs maximum likelihood estimation to obtain parameter values, proves the asymptotic properties of the estimates, and validates the model’s accuracy through data simulation experiments. Finally, the proposed model was ap

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46

Lunel, Sjoerd M. Verduyn, and Dmitry V. Yakubovich. "A functional model approach to linear neutral functional differential equations." Integral Equations and Operator Theory 27, no. 3 (1997): 347–78. http://dx.doi.org/10.1007/bf01324734.

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47

Maksym, Korobchynskyi, Slonov Mykhailo, Tsybulskyi Serhii, Dereko Vladyslav, and Maryliv Oleksandr. "CONSTRUCTION OF A METHOD FOR THE STRUCTURAL FUNCTIONAL-COST MODELING OF A COMPLEX HIERARCHIC SYSTEM." Eastern-European Journal of Enterprise Technologies 1, no. 4 (103) (2020): 11–22. https://doi.org/10.15587/1729-4061.2020.195379.

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A method has been proposed for the structural functional-cost modeling of a complex hierarchical system. The initial data for carrying out calculations directly based on the functional-cost model have been determined. We have proposed and substantiated the cost description of a complex system and its components by using analytical approximating dependences. An example of the functional-cost algorithm has been given that employs a Lagrange multiplier method for complex systems with a serial combination of its separate parts. The solution to the example is the distribution among the desired prob

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48

Zhang, Haili, and Guohua Zou. "Cross-Validation Model Averaging for Generalized Functional Linear Model." Econometrics 8, no. 1 (2020): 7. http://dx.doi.org/10.3390/econometrics8010007.

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Functional data is a common and important type in econometrics and has been easier and easier to collect in the big data era. To improve estimation accuracy and reduce forecast risks with functional data, in this paper, we propose a novel cross-validation model averaging method for generalized functional linear model where the scalar response variable is related to a random function predictor by a link function. We establish asymptotic theoretical result on the optimality of the weights selected by our method when the true model is not in the candidate model set. Our simulations show that the

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49

NOLLAND, DAVID, and PAUL MANSFIELD. "THE SCHRÖDINGER REPRESENTATION FOR FERMIONS AND A LOCAL EXPANSION OF THE SCHWINGER MODEL." International Journal of Modern Physics A 15, no. 03 (2000): 429–47. http://dx.doi.org/10.1142/s0217751x00000203.

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We discuss the functional representation of fermions, and obtain exact expressions for wave-functionals of the Schwinger model. Known features of the model such as bosonization and the vacuum angle arise naturally. Contrary to expectations, the vacuum wave-functional does not simplify at large distances, but it may be reconstructed as a large time limit of the Schrödinger functional, which has an expansion in local terms. The functional Schrödinger equation reduces to a set of algebraic equations for the coefficients of these terms. These ideas generalize to a numerical approach to QCD in high

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50

Andreas, Petter, Borgert Stephan, Aitenbichler Erwin, Behring Alexander, and Muhlhauser Max. "BRAIN Journal - Understanding Service Composition with Non-functional Properties Using Declarative Model-to-model Transformations." Brain Journal 1, SPECIAL ISSUE ON ADVANCES IN APPLIED SCIENCES (2010): 130–46. https://doi.org/10.5281/zenodo.1037433.

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ABSTRACT Developing applications comprising service composition is a complex task. Therefore, to lower the skill barrier for developers, it is important to describe the problem at hand on an abstract level and not to focus on implementation details. This can be done using declarative programming which allows to describe only the result of the problem (which is what the developer wants) rather than the description of the implementation. We therefore use purely declarative model-to-model transformations written in a universal model transformation language which is capable of handling even non fu

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