Relevant bibliographies by topics / R-function method

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'R-function method'

Author: Grafiati
Published: 30 May 2022
Last updated: 19 July 2025

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Journal articles on the topic "R-function method"

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Proskurin, A. V., and A. M. Sagalakov. "Modeling duct flow by the R-function method." Journal of Applied and Industrial Mathematics 10, no. 3 (2016): 429–34. http://dx.doi.org/10.1134/s1990478916030133.

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Dmitriev, V. I., and J. G. Ingtem. "The Regularized Spline (R-Spline) Method for Function Approximation." Computational Mathematics and Modeling 30, no. 3 (2019): 198–206. http://dx.doi.org/10.1007/s10598-019-09447-w.

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Veretel'nik, V. V., V. F. Kravchenko, and V. L. Rvachev. "Design of groove waveguides by the R-function method." Measurement Techniques 36, no. 2 (1993): 216–19. http://dx.doi.org/10.1007/bf00977862.

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Hong-wei, Lu, Sun Ying, Lin Min, Li Pi-ding, and Zheng Zheng. "A probability density function method for detecting atrial fibrillation using R–R intervals." Medical Engineering & Physics 31, no. 1 (2009): 116–23. http://dx.doi.org/10.1016/j.medengphy.2008.04.013.

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Chrapoński, Jacek, Marian Maliński, Janusz Szala, and Jan Cwajna. "FGM Structure Characterization by Distance Functions and Systematic Scanning Method." Materials Science Forum 567-568 (December 2007): 153–56. http://dx.doi.org/10.4028/www.scientific.net/msf.567-568.153.

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The distance functions such as G(r), K(r), H(r), g(r) and systematic scanning method connected with variance analysis have been used for quantitative characterization of functionally gradient materials structures. The methods have been tested on computer generated 3D model polycrystalline structures with diverse type of gradient function. Usefulness of the presented methods for quantitative description of FGM structures has been evaluated.
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Pál, Ambrus, and Endre Szabó. "The fibration method over real function fields." Mathematische Annalen 378, no. 3-4 (2020): 993–1019. http://dx.doi.org/10.1007/s00208-020-02053-x.

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Abstract Let $$\mathbb R(C)$$ R ( C ) be the function field of a smooth, irreducible projective curve over $$\mathbb R$$ R . Let X be a smooth, projective, geometrically irreducible variety equipped with a dominant morphism f onto a smooth projective rational variety with a smooth generic fibre over $$\mathbb R(C)$$ R ( C ) . Assume that the cohomological obstruction introduced by Colliot-Thélène is the only one to the local-global principle for rational points for the smooth fibres of f over $$\mathbb R(C)$$ R ( C ) -valued points. Then we show that the same holds for X, too, by adopting the
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Xia, Fengfei, and Shanqing Li. "R-Function and variation method for bending problem of clamped thin plate with complex shape." Advances in Mechanical Engineering 13, no. 7 (2021): 168781402110348. http://dx.doi.org/10.1177/16878140211034832.

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Solving ordinary thin plate bending problem in engineering, only a few analytical solutions with simple boundary shapes have been proposed. When using numerical methods (e.g. the variational method) to solve the problem, the trial functions can be found only it exhibits a simple boundary shape. The R-functions can be applied to solve the problem with complex boundary shapes. In the paper, the R-function theory is combined with the variational method to study the thin plate bending problem with the complex boundary shape. The paper employs the R-function theory to express the complex area as th
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Diógenes, A. N., L. O. E. dos Santos, and C. P. Fernandes. "PARTICLE SIZE DISTRIBUTION CORRECTION METHOD USING A SIMULATED ANNEALING TECHNIQUE." Revista de Engenharia Térmica 10, no. 1-2 (2011): 39. http://dx.doi.org/10.5380/reterm.v10i1-2.61950.

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The procedure for obtaining the particle size distribution by visual inspection of a sample involves stereological errors, given the cut of the sample. A cut particle, supposedly spherical, with radius R, will be counted as a circular particle with radius r, r≤R. The difference between r and R depends on how far from the center of the sphere the cut was performed. This introduces errors when the extrapolation of the properties from two to three dimensions during the analysis of a sample. The usual method is to correct the distribution by probabilistic functions, which have large errors. This p
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BOUGAEV, ANTON, ALEKSEY URMANOV, LEFTERI TSOUKALAS, and KENNY GROSS. "METHOD OF KEY VECTORS EXTRACTION USING R-CLOUD CLASSIFIERS." New Mathematics and Natural Computation 03, no. 03 (2007): 419–26. http://dx.doi.org/10.1142/s1793005707000884.

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A novel method for reducing a training data set in the context of nonparametric classification is proposed. The new method is based on the method of R-clouds. The advantages of the R-cloud classification method introduced recently are being investigated. The separating boundary of the R-cloud classifier is represented using Rvachev functions. The method of key vectors extraction uses the value of the R-cloud function to quantify the disturbance of the separating boundary, which is caused by removal of one data vector from the design dataset. The R-cloud method was found instructive and practic
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Rvachev, V. L., and L. V. Kurpa. "Solving stability problems of plates by the R-function method." Strength of Materials 19, no. 6 (1987): 843–46. http://dx.doi.org/10.1007/bf01522846.

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Dissertations / Theses on the topic "R-function method"

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Kurpa, Lidiya, Olga Mazur, and Igor Tsukanov. "Application of R-Functions Theory to Study Parametric Vibrations and Dynamical Stability of Laminated Plates." Thesis, Точка, 2013. http://repository.kpi.kharkov.ua/handle/KhPI-Press/37087.

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The problem of nonlinear parametric vibrations and stability analysis of the symmetric laminated plates is considered. The proposed method is based on multimode approximation of displacements and solving series auxiliary linear tasks. The main feature of the work is the application of the R-functions theory, which allows investigating parametric vibrations of plates with complex shape and different boundary conditions.
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Awrejcewicz, Jan, Lidiya Kurpa, and Olga Mazur. "Stability investigation of nonlinear vibrations of plates by R-functions method." Thesis, Wydawnictwo Politechniki Łódzkiej, 2007. http://repository.kpi.kharkov.ua/handle/KhPI-Press/37159.

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The parametric vibrations of plates with cutouts subjected to in-plane periodic and compressive loads, are studied. The proposed approach is based on R-functions method and the classical variational approach. The influence of cutouts parameters, as well as static factors of load on stability regions and nonlinear vibrations are investigated.
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Kurpa, Lidiya, and T. Shmatko. "Investigation of Geometrically Nonlinear Vibrations of Laminated Shallow Shells with Layers of Variable Thickness by Meshless Approach." Thesis, Точка, 2013. http://repository.kpi.kharkov.ua/handle/KhPI-Press/37086.

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Geometrically nonlinear vibrations of laminated shallow shells with layers of variable thickness are studied. Nonlinear equations of motion for shells based on the first order shear deformation and classical shells theories are considered. In order to solve this problem we use the numerically-analytical method proposed in work [1]. Accordingly to this approach the initial problem is reduced to consequences of some linear problems including linear vibrations problem, special elasticity ones and nonlinear system of ordinary differential equations in time. The linear problems are solved by t
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Drake, David M. "Method for Identifying Resting State Networks following Probabilistic Independent Component Analysis." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416231546.

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Nylén, Erik. "An application portfolio management method - for implementation at SCANIA CV AB." Thesis, KTH, Industriella informations- och styrsystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-81364.

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Information Technology (IT) has become a vital tool for most industrial businesses and Scania CV AB is no exception. As the importance of IT generally has increased, the usage and number of applications has grown as well. Applications are substantial assets for an organization that is heavily supported by IT. Consequently, a way of managing applications efficiently and sustaining the costs of applications rather low ? doing more with less ? is required. In addition it is also important, from a business perspective, that applications as part of IT are aligned with business strategies and goals.
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Mejia, Humberto. "Modeling of a Heat-Induced Buckling of Plates Using the Mesh-free Method." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1512.

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In the process of engineering design of structural shapes, the flat plate analysis results can be generalized to predict behaviors of complete structural shapes. In this case, the purpose of this project is to analyze a thin flat plate under conductive heat transfer and to simulate the temperature distribution, thermal stresses, total displacements, and buckling deformations. The current approach in these cases has been using the Finite Element Method (FEM), whose basis is the construction of a conforming mesh. In contrast, this project uses the mesh-free Scan Solve Method. This method elimina
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Awrejcewicz, Jan, Lidiya Kurpa, and Olga Mazur. "Investigation of the parametric vibration of the orthotropic plates subjected to periodic in plane forces by multi-modal approximation and R-functions method." Thesis, NTU "KhPI", 2010. http://repository.kpi.kharkov.ua/handle/KhPI-Press/37138.

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The original method of studying parametric vibrations of orthotropic plate with complex shape is proposed. Suggested approach is based on combined application of variational methods and the R-functions theory. Using the proposed method and developed software the regular and chaotic regimes of T-shaped plate are analyzed.
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Thomas, Armin W. Verfasser], Hauke R. [Akademischer Betreuer] Heekeren, Klaus-Robert [Gutachter] [Akademischer Betreuer] [Müller, Hauke R. [Gutachter] Heekeren, and Russell A. [Gutachter] Poldrack. "Machine learning methods for modeling gaze allocation in simple choice behavior and functional neuroimaging data on the level of the individual / Armin W. Thomas ; Gutachter: Klaus-Robert Müller, Hauke R. Heekeren, Russell A. Poldrack ; Klaus-Robert Müller, Hauke R. Heekeren." Berlin : Technische Universität Berlin, 2020. http://d-nb.info/1223981657/34.

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Thomas, Armin W. [Verfasser], Hauke R. Akademischer Betreuer] Heekeren, Klaus-Robert [Gutachter] [Akademischer Betreuer] [Müller, Hauke R. [Gutachter] Heekeren, and Russell A. [Gutachter] Poldrack. "Machine learning methods for modeling gaze allocation in simple choice behavior and functional neuroimaging data on the level of the individual / Armin W. Thomas ; Gutachter: Klaus-Robert Müller, Hauke R. Heekeren, Russell A. Poldrack ; Klaus-Robert Müller, Hauke R. Heekeren." Berlin : Technische Universität Berlin, 2020. http://nbn-resolving.de/urn:nbn:de:101:1-2020122301024292024902.

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Scipioni, Angel. "Contribution à la théorie des ondelettes : application à la turbulence des plasmas de bord de Tokamak et à la mesure dimensionnelle de cibles." Electronic Thesis or Diss., Nancy 1, 2010. http://www.theses.fr/2010NAN10125.

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La nécessaire représentation en échelle du monde nous amène à expliquer pourquoi la théorie des ondelettes en constitue le formalisme le mieux adapté. Ses performances sont comparées à d'autres outils : la méthode des étendues normalisées (R/S) et la méthode par décomposition empirique modale (EMD).La grande diversité des bases analysantes de la théorie des ondelettes nous conduit à proposer une approche à caractère morphologique de l'analyse. L'exposé est organisé en trois parties.Le premier chapitre est dédié aux éléments constitutifs de la théorie des ondelettes. Un lien surprenant est étab
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Books on the topic "R-function method"

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Spencer, Graves, Hooker Giles, and SpringerLink (Online service), eds. Functional Data Analysis with R and MATLAB. Springer-Verlag New York, 2009.

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Schockert, Sixten. Qualitätssoftware Durch Kundenorientierung : Die Methode Quality Function Deployment: Grundlagen, Praxis und SAP® R/3® Fallbeispiel. Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2013.

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Hodges, John R. Cognitive Assessment for Clinicians. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780192629760.001.0001.

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This resource aims to incorporate the enormous advances over the last decade in our understanding of cognitive function into clinical practice, particularly the aspects of memory, language and attention. These advances in theory provide a practical approach to cognitive valuation at the bedside, based on methods developed at the Cambridge clinic over the past 15 years. Designed primarily for neurologists, psychiatrists and geriatricians in training who require a practical guide to assessing higher mental function, the resource will also be of interest to clinical psychologists. In this second
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Láruson, Áki Jarl, and Floyd Allan Reed. Population Genetics with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829539.001.0001.

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Population genetics is an inherently quantitative discipline. Because the focus of population genetics studies is usually on abstract concepts like the frequencies of genetic variants over time, it can at first glance be difficult to conceptualize and appropriately visualize. As more and more quantitative models and methods have become established in the discipline, it has become necessary for people just entering the field to quickly develop a good understanding of the many layers of complex approaches, so as to correctly interpret even basic results. An unfortunate side effect of the widespr
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Čačko, Viliam, and Iveta Čačková. Stroje pre nekonvenčné technológie. SPEKTRUM Publishing, 2024. http://dx.doi.org/10.61544/cimt1215.

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In its introductory part, the textbook deals with CNC laser cutting machines in general. Mainly by describing the principle of operation of laser cutting machines as well as the description of the principle of work of such technological devices. Also, in this section, the main parts of the machines are described so that students are familiar with and understand the very technological essence of CNC laser cutting equipment. Before the actual description of the work in the ASPER program, the terminology used is explained in detail in order to introduce the student to the very issue of programmin
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Book chapters on the topic "R-function method"

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Anarova, Sh A., and Z. E. Ibrohimova. "Methods of Constructing Equations for Objects of Fractal Geometry and R-Function Method." In Intelligent Human Computer Interaction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98404-5_40.

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Wu, Jianming, Yanling Chen, Peng Guo, Xiaoya Wang, Xiaogong Hu, and Mengjie Wu. "New Method of GNSS-R Wind Speed Retrieval Based on Empirical Orthogonal Function." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3138-2_26.

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Masís, David, Esteban Segura, Javier Trejos, and Adilson Xavier. "Fuzzy Clustering by Hyperbolic Smoothing." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_27.

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AbstractWe propose a novel method for building fuzzy clusters of large data sets,using a smoothing numerical approach. The usual sum-of-squares criterion is relaxed so the search for good fuzzy partitions is made on a continuous space, rather than a combinatorial space as in classical methods [8]. The smoothing allows a conversion from a strongly non-differentiable problem into differentiable subproblems of optimization without constraints of low dimension, by using a differentiable function of infinite class. For the implementation of the algorithm, we used the statistical software R and the results obtained were compared to the traditional fuzzy C–means method, proposed by Bezdek [1].
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Quicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Principal components analysis." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0017.

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Abstract This chapter focuses on how to conduct a principal components analysis. To conduct principal components analysis, R has two similar built-in functions prcomp and princomp in the default stats package. Other implementations can be found in various downloadable packages, e.g. the function PCA from the package FactoMineR, the function dudi.pca from the package ade4 and the function acp from the package amap. The functions prcomp and princomp employ different calculation methods but in practice the results they return will be almost identical.
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Quicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Principal components analysis." In Practical R for biologists: an introduction. CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0194.

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Abstract This chapter focuses on how to conduct a principal components analysis. To conduct principal components analysis, R has two similar built-in functions prcomp and princomp in the default stats package. Other implementations can be found in various downloadable packages, e.g. the function PCA from the package FactoMineR, the function dudi.pca from the package ade4 and the function acp from the package amap. The functions prcomp and princomp employ different calculation methods but in practice the results they return will be almost identical.
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Swenson, Nathan G. "Comparative Methods and Phylogenetic Signal." In Functional and Phylogenetic Ecology in R. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9542-0_7.

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Poterasu, V. F., and N. Mihalache. "Brittle Fracture Materials by BEM and R-Functions." In Boundary Element Methods. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-06153-4_33.

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Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. "Overview of R and RStudio." In Classroom Companion: Business. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7_2.

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AbstractComputational statistics is now an increasingly popular method of analysis for researchers that combines a vast array of algorithms, statistical methods, and the power of functional coding. The R programming language, in particular, has benefitted from this development alongside of traditional graphical user interface (GUI) software. Today, it has become the language of choice for empirical researchers. In this chapter, we introduce the R programming language as well as its popular development environment in the form of RStudio. We walk the reader through downloading both the R language and the RStudio integrated development environment (IDE). Then, we discuss the software layout and demonstrate how to interact with the software. Finally, we address creating and managing R projects and scripts, gaining access to documentation and help via various sources. This chapter is not intended as a tutorial on the writing of code in the R programming language. We do, however, provide useful open-source resources for learning R, which can be accessed from the R console RStudio environment.
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Cecot, W., and J. Orkisz. "On Coupling of the Boundary Element and R-Function Methods." In Mathematical and Computational Aspects. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-21908-9_28.

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Moffett, Peter. "Fragment Complementation and Co-immunoprecipitation Assays for Understanding R Protein Structure and Function." In Methods in Molecular Biology. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61737-998-7_2.

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Conference papers on the topic "R-function method"

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Pasternak, Viktoriya, Artem Ruban, Kyrylo Pasynchuk, and Pavlo Polyanskyi. "Special Features of Using Mathematical Modeling for the Study of Tetrahedral Elements." In International Scientific Applied Conference "Problems of Emergency Situations". Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-dbbwy3.

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In this scientific work, mathematical modeling of tetrahedron elements in the finite element method is presented, which includes the determination of geometric shape, shape functions, and material properties. Unknown fields such as displacement vectors, strain, and stress tensors are considered. The methodology of applying the principle of virtual work and equilibrium equations is described, allowing the derivation of a system of differential equations to describe the behavior of the tetrahedral element. Integration over the volume and consideration of boundary conditions help reduce the equat
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Ferrier, Bernard, Robert Ernst, Ajay Sehgal, and Saiah Kim. "Deck Motion Interface for MQ-8C Fire Scout Embarked Aviation." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11574.

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This paper provides a discussion of the challenges associated with embarking the MQ-8C Fire Scout (converted Bell 407) system onboard ships, focusing on the launch and recovery (L&R) process and equipment. The baseline version of Fire Scout, MQ-8C, along with all its improved derivatives is required to undergo ship suitability assessments in the form of dynamic interface (DI) testing, also known as helicopter-ship qualification analysis, aboard ship. DI testing evaluates all aspects of shipboard helicopter compatibility such as adequacy, effectiveness and safety of shipboard aviation suppo
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Veretelnik, V. V. "Calculation of microstrip structures by the r-function method." In International Conference on Millimeter and Submillimeter Waves and Applications 1994. SPIE, 1994. http://dx.doi.org/10.1117/12.2303206.

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Tolok, A. V., and P. A. Petukhov. "Functional-voxel Modeling of the Dynamic Solution of the Path Search Problem by the Gradient Method." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-868-877.

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The paper considers an algorithm for gradient motion on a surface that simulates a scene with target objects and obstacles. To implement the gradient descent algorithm, the principles of functionalvoxel modeling are used, which allow organizing a region of gradient characteristics for a given scene space. The mathematical apparatus of R-functions is chosen as a tool for describing a scene with obstacles. Approaches for obtaining the inverse expression of the R-function, i.e. removing an object from the scene to solve problems of dynamic rearrangement of obstacles and goals, are investigated. A
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Ying-ying, Zhang, and Zhang Xiu-ting. "An R Function for the Multi-classification Fisher Discriminant Method." In 2015 Joint International Social Science, Education, Language, Management and Business Conference. Atlantis Press, 2015. http://dx.doi.org/10.2991/jisem-15.2015.8.

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Foligno, P., C. Yan, and R. Vescovini. "Postbuckling Analysis of Variable Stiffness Laminates via R-Function Method." In 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics. CIMNE, 2024. https://doi.org/10.23967/eccomas.2024.202.

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DasNeogi, Protyusha, Elizabeth Cudney, Akim Adekpedjou, and Rodney Kestle. "Comparing the Predictive Ability of T-Method and Cobb-Douglas Production Function for Warranty Data." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12668.

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Predictive models are used in an attempt to anticipate future transitions, mitigate losses, and maximize economic gains. In today’s market, companies look for high reliability and quality of products due to great market competition. Hence warranty data is of considerable interest to companies. Warranty shows the ability of a system or component to perform its functions within a given customer usage. Many statistical and data mining methods are available to predict the warranty data. This study focuses on analyzing the predictive efficiency of the T-method and Cobb-Douglas production function o
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Kim, Kuk-cheol, and Young-wha Ma. "A Study on the Normalized Load Function for J-R Curve Testing Using Normalization Method." In ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28145.

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The purpose of this study is to suggest a more appropriate normalized load G-function for normalization method of J-R curve testing in the ASTM 1820 standard. For leak before break (LBB) design of reactor coolant piping system, J-R curve testing is required to verify the crack stability integration using J-T analysis. The normalization method of J-R curve testing is an excellent candidate testing method for dynamic J-R curve testing. In the normalization function, the load value is normalized by the G-function based on the plastic η factor. The normalized load function, G-function is important
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Li, Shanqing. "R-function theory method for bending problem of slip clamped trapezoidal shallow spherical shell." In 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/iceep-17.2017.4.

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Lopez, P., and Y. Bayazitoglu. "A Note on Modeling of Nano-Scale Thermal Flow via the Lattice Boltzmann Method." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89923.

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Lattice Boltzmann (LB) method models have been demonstrated to provide an accurate representation of the flow characteristics in rarefied flows. Conditions in such flows are characterized by the Knudsen number (Kn), defined as the ratio between the gas molecular Mean Free Path ( MFP, λ) and the device characteristic length (L). As the Knudsen number increases, the behavior of the flow near the walls is increasingly dominated by interactions between the gas molecules and the solid surface. Due to this, linear constitutive relations for shear stress and heat flux, which are assumed in the Navier
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Reports on the topic "R-function method"

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Ziesemer, Thomas. Endogenous R&D elasticities of productivity functions and BERD bias: Explorations of functional coefficient regressions. UNU-MERIT, 2025. https://doi.org/10.53330/hgya6809.

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Macroeconomic productivity is modelled as a Cobb-Douglas function of private and public R&D stocks in recent literature. The slope parameters of a growth rate version may change over time and with circumstances. Using the method of functional-coefficient regression, we show that human capital, GDP (per worker), services and defence R&D (both % GDP), lags of domestic and foreign private and public R&D, and lagged labour-augmenting technical change, all in growth rates, change the elasticities of productivity. The result is a panel data set of regression coefficients representing ela
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Cattaneo, Matias D., Richard K. Crump, Max H. Farrell, and Yingjie Feng. Nonlinear Binscatter Methods. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1110.

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Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable visualization methods, but they can also be used to estimate treatment effects, assess uncertainty, and test substantive domain-specific hypotheses. This paper introduces novel binscatter methods based on nonlinear, possibly nonsmooth M-estimation methods, covering generalized linear, robust, and quantile regressio
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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/sw0snl2upp0gv469.

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The hands-on seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects),
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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/aac2dxlrxcebk469.

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The seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graph
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Hodges, Thomas K., and David Gidoni. Regulated Expression of Yeast FLP Recombinase in Plant Cells. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7574341.bard.

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Research activities in both our laboratories were directed toward development of control of the FLP/frt recombination system for plants. As described in the text of the research proposal, the US lab has been engaged in developing regulatory strategies such as tissue-specific promoters and the steroid-inducible activation of the FLP enzyme while the main research activities in Israel have been directed toward the development and testing of a copper-regulated expression of flp recombinase in tobacco (this is an example of a promoter activation by metal ions). The Israeli lab hat additionally com
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Faktorngpan, Piyanart. An investigation of successful argumentative strategies in debating. Language Institute, Chulalongkorn University, 2012. https://doi.org/10.58837/chula.res.2012.76.

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This study operates from the foundation that some arguments are more successful than others; some being more persuasive and convincing. Arguments adjudged successful by experts in the field of argumentation were examined, with specific interest in the evaluation of the rhetoric employed. This corpus of material was formed from speeches, interviews and other data previously recorded from the final rounds of competitive and prestigious international debates. The debate aspect was primarily composed of championship-winning speeches, judged by experienced grand final adjudicators on three constitu
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Lichter, Amnon, Gopi K. Podila, and Maria R. Davis. Identification of Genetic Determinants that Facilitate Development of B. cinerea at Low Temperature and its Postharvest Pathogenicity. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7592641.bard.

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Botrytis cinerea is the postharvest pathogen of many agricultural produce with table grapes, strawberries and tomatoes as major targets. The high efficiency with which B. cinerea causes disease on these produce during storage is attributed in part due to its exceptional ability to develop at very low temperature. Our major goal was to understand the genetic determinants which enable it to develop at low temperature. The specific research objectives were: 1. Identify expression pattern of genes in a coldenriched cDNA library. 2. Identify B. cinerea orthologs of cold-induced genes 3. Profile pro
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Whitham, Steven A., Amit Gal-On, and Victor Gaba. Post-transcriptional Regulation of Host Genes Involved with Symptom Expression in Potyviral Infections. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7593391.bard.

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Understanding how RNA viruses cause disease symptoms in their hosts is expected to provide information that can be exploited to enhance modern agriculture. The helper component-proteinase (HC-Pro) protein of potyviruses has been implicated in symptom development. Previously, we demonstrated that symptom expression is associated with binding of duplex small-interfering-RNA (duplex-siRNA) to a highly conserved FRNK amino acid motif in the HC-Pro of Zucchini yellow mosaic virus (ZYMV). This binding activity also alters host microRNA (miRNA) profiles. In Turnip mosaic virus (TuMV), which infects t
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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature
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Phillips, Donald, and Yoram Kapulnik. Using Flavonoids to Control in vitro Development of Vesicular Arbuscular Mycorrhizal Fungi. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613012.bard.

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Vesicular-arbuscular mycorrhizal (VAM) fungi and other beneficial rhizosphere microorganisms, such as Rhizobium bacteria, must locate and infect a host plant before either symbiont profits. Although benefits of the VAM association for increased phosphorous uptake have been widely documented, attempts to improve the fungus and to produce agronomically useful amounts of inoculum have failed due to a lack of in vitro production methods. This project was designed to extend our prior observation that the alfalfa flavonoid quercetin promoted spore germination and hyphal growth of VAM fungi in the ab
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