Bibliographies thématiques / Functional expansion

Littérature scientifique sur le sujet « Functional expansion »

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Publié le 18 mai 2024

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Articles de revues sur le sujet "Functional expansion"

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HONG SEUNG AH. « Functional Expansion of Interrogatives ». Review of Korean Cultural Studies 63, no 63 (septembre 2018) : 247–72. http://dx.doi.org/10.17329/kcbook.2018.63.63.008.

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Han, Zhuoran, Benoit Forget et Kord Smith. « Using Generalized Basis for Functional Expansion ». Journal of Nuclear Engineering 2, no 2 (29 avril 2021) : 161–67. http://dx.doi.org/10.3390/jne2020016.

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Functional expansion has been rigorously studied as a promising method in stochastic neutron transport and multi-physics coupling. It is a method to represent data specified on a desired domain as an expansion of basis set in a continuous manner. For convenience, the basis set for functional expansion is typically chosen to be orthogonal. In cylindrical PWR pin-cell simulations, the orthogonal Zernike polynomials have been used. The main advantage of using functional expansion in nuclear modeling is that it requires less memory to represent temperature and nuclide variations in fuel then using a fine discretization. Fewer variables are involved in the data storage and transfer process. Each nuclide can have its unique expansion order, which becomes very important for depletion problems. In a recent study, performance analysis was conducted on Zernike-based FETs on a 2D PWR geometry. For reaction rates like the absorption rate of U-238, however, many orders are needed with Zernike-based FETs to achieve a reasonable accuracy. This gap inspires the study in this paper on alternative basis set that can better capture the steep gradient with fewer orders. In this paper, a generalized functional expansion method is established. The basis set can be an arbitrary series of independent functions. To capture the self-shielding effect of U-238 absorption rate, an exponential basis set is chosen. The results show that the expansion order utilizing exponential basis can reduce by half of that from using orthogonal Zernike polynomials while achieving the same accuracy. The integrated reaction rate is also demonstrated to be preserved. This paper also shows that the generalized functional expansion could be a heuristic method for further investigation on continuous depletion problems.
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Erlebacher, Jay A., Richard C. Richter, Daniel R. Alonso, Richard B. Devereux et William A. Gay. « Early infarct expansion : Structural or functional ? » Journal of the American College of Cardiology 6, no 4 (octobre 1985) : 839–44. http://dx.doi.org/10.1016/s0735-1097(85)80492-7.

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Kumar, Shikhar, Benoit Forget et Kord Smith. « Stationarity Diagnostics using Functional Expansion Tallies ». Annals of Nuclear Energy 143 (août 2020) : 107388. http://dx.doi.org/10.1016/j.anucene.2020.107388.

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Kröger, Helmut, et Patrick Labelle. « Loop expansion in a functional space ». Physical Review D 40, no 2 (15 juillet 1989) : 495–503. http://dx.doi.org/10.1103/physrevd.40.495.

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Thornber, K. K. « A bireflexive expansion for functional integration ». Physics Letters A 152, no 3-4 (janvier 1991) : 125–27. http://dx.doi.org/10.1016/0375-9601(91)91076-p.

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Malyutin, V. B., et B. O. Nurjanov. « Semiclassical approximation of functional integrals ». Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 56, no 2 (8 juillet 2020) : 166–74. http://dx.doi.org/10.29235/1561-2430-2020-56-2-166-174.

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In this paper, we consider a semiclassical approximation of special functional integrals with respect to the conditional Wiener measure. In this apptoximation we use the expansion of the action with respect to the classical trajectory. In so doing, the first three terms of expansion are taken into account. Semiclassical approximation may be interpreted as an expansion in powers of the Planck constant. The novelty of this work is the numerical analysis of the accuracy of the semiclassical approximation of functional integrals. A comparison of the results is used for numerical analysis. Some results are obtained by means of semiclassical approximation, while the other by means of the functional integrals calculation method based on the expansion in eigenfunctions of the Hamiltonian generating a functional integral.
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Chen, Jun, Lei Hu, Jinxia Deng et Xianran Xing. « Negative thermal expansion in functional materials : controllable thermal expansion by chemical modifications ». Chemical Society Reviews 44, no 11 (2015) : 3522–67. http://dx.doi.org/10.1039/c4cs00461b.

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Lapteva, N. K., et L. V. Mitkinykh. « Expansion of assortment of functional gingerbread products ». Agricultural Science Euro-North-East 20, no 4 (30 août 2019) : 334–42. http://dx.doi.org/10.30766/2072-9081.2019.20.4.334-342.

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In order to expand the range of flour confectionary for healthy nutrition, documentation on new gingerbread products with increased food value was developed in 2017-2018. They are Prune gingerbread (kovrizhka) and gingerbread (pryanik) "Zabava", "Fantaziya", "Vdokhnovenie". The nutrition value of new gingerbread products is defined by the content of medium rye flour, sunflower oil, prunes, dried apricots, cocoa powder which enrich the products with many micronutrients necessary for a human body such as food fibers, mineral substances, vitamins, polyunsaturated fatty acids (PUFA). Prune gingerbread exceeds the production analog (Tula gingerbread) in the content of food fibers (3.6%), vitamin E (2.9 mg%) and vitamin B1 (0.11 mg%) by 2.25; 4.1 and 1.37 times, respectively. It also has more mineral substances (K, P, Ca, Mg, Fe) in comparison with the control - 2.0; 1.3; 1.4; 2.4; 1.4 times, respectively. Energy value of Prune gingerbread is 8.8% lower than that of the production analog (Tula gingerbread). In 100 grams of Prune gingerbread and gingerbreads "Zabava", "Fantaziya", "Vdokhnovenie" there are from 2.9 to 4.0 g of polyunsaturated linoleic acid that satisfy the minimum body need a day. Gingerbreads "Zabava", "Fantaziya", "Vdokhnovenie" exceed the production analog (gingerbreads “Festivalnye”) in the content of mineral substances (K, Ca, Mg, P, Fe) in total – by 46.4; 98.4; 45.0%, respectively; in food fibers – by 1.7-2.2 times; in vitamin E – by 1.9-2.0 times. New gingerbread products are functional as they contain 26.4-36.4% of average daily body need in PUFA and 29.0-37.0% of vitamin E. Gingerbreads 'Zabava' and 'Fantaziya' contain respectively 17.0 and 20.0% of average daily body need in food fibers and 15.7% – in iron.
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Labraña, Julio, et Raf Vanderstraeten. « Functional Differentiation and University Expansion in Chile ». Social and Education History 9, no 3 (14 juillet 2020) : 252. http://dx.doi.org/10.17583/hse.2020.4565.

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Over the last few decades, education has acquired a fairly robust social identity worldwide and participation in higher education has also become increasingly common. Building upon Luhmann’s theory of society, in this paper we analyze the expansion of higher education in Chile, specifically looking at the transformations the Chilean higher education system has undergone and the interactions between this system and its social environment. We will include statistics to clarify the extent of the changes to – and costs of – increasing inclusion. We will also focus on the ever-changing rationales for the expansion (or contraction) of higher education in Chile. Altogether, our analysis show not just how the Chilean system of higher education adapts to its social environment, but also how individuals and other function systems currently adapt to this system and how it is organized. We end with a brief reflection on the ways in which education may or may not make a difference to society and a discussion on whether our findings shed any light on the evolution of other countries’ education systems.
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Thèses sur le sujet "Functional expansion"

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Ugolotti, Alessandro. « Alternative derivative expansion in Functional RG and application ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10434/.

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We give a brief review of the Functional Renormalization method in quantum field theory, which is intrinsically non perturbative, in terms of both the Polchinski equation for the Wilsonian action and the Wetterich equation for the generator of the proper verteces. For the latter case we show a simple application for a theory with one real scalar field within the LPA and LPA' approximations. For the first case, instead, we give a covariant "Hamiltonian" version of the Polchinski equation which consists in doing a Legendre transform of the flow for the corresponding effective Lagrangian replacing arbitrary high order derivative of fields with momenta fields. This approach is suitable for studying new truncations in the derivative expansion. We apply this formulation for a theory with one real scalar field and, as a novel result, derive the flow equations for a theory with N real scalar fields with the O(N) internal symmetry. Within this new approach we analyze numerically the scaling solutions for N=1 in d=3 (critical Ising model), at the leading order in the derivative expansion with an infinite number of couplings, encoded in two functions V(phi) and Z(phi), obtaining an estimate for the quantum anomalous dimension with a 10% accuracy (confronting with Monte Carlo results).
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Glasbrenner, David C. Jr. « Evolution, Expansion, and Functional Divergence of the Commissureless Protein Family ». The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557143164958451.

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Han, Zhuoran S. M. Massachusetts Institute of Technology. « Performance analysis of functional expansion tallies on 2D PWR pin cell ». Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129907.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, February, 2020
Cataloged from student-submitted PDF of thesis.
Includes bibliographical references (pages 85-87).
Functional Expansion Tally (FET) method has been rigorously studied in recent years, as it has the potential to model spatial distributions of physics parameters in coupled multiphysics simulations with better computing performance. Although the FETs have been implemented in some nuclear applications, the performance of FETs using a Zernike polynomial series has never been thoroughly tested. This work performs an analysis of Zernike-based FETs on a 2D PWR pin-cell geometry and compares the simulation time and accuracy with conventional histogram tallies for reaction rate tallies needed in burnup calculations over radial rings. Figures of Merit (FOMs) are constructed for direct comparison of performance between different tally schemes and several metrics are used to determine the optimal expansion order. It is determined that Zernike-based FETs achieve comparable performance to discrete tallies, but require very high radial orders to properly capture the spatial distribution of certain reaction rates, such as U-238 absorption. A generalized functional expansion method using an arbitrary series of independent functions as basis set is then proposed and tested. To capture the self-shielding effect of the U-238 absorption rate, an exponential basis set is chosen. The results show that the exponential basis set can reduce the optimum order of expansion by half comparing with orthogonal Zernike polynomials while achieving the same accuracy. The integrated reaction rate is also demonstrated to be preserved. This work also shows that the generalized functional expansion could be a heuristic method for further investigation of continuous depletion problems.
by Zhuoran Han.
S.M.
S.M. Massachusetts Institute of Technology, Department of Nuclear Science and Engineering
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Nelson, Lance Jacob. « Cluster Expansion Models Via Bayesian Compressive Sensing ». BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4032.

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The steady march of new technology depends crucially on our ability to discover and design new, advanced materials. Partially due to increases in computing power, computational methods are now having an increased role in this discovery process. Advances in this area speed the discovery and development of advanced materials by guiding experimental work down fruitful paths. Density functional theory (DFT)has proven to be a highly accurate tool for computing material properties. However, due to its computational cost and complexity, DFT is unsuited to performing exhaustive searches over many candidate materials or for extracting thermodynamic information. To perform these types of searches requires that we construct a fast, yet accurate model. One model commonly used in materials science is the cluster expansion, which can compute the energy, or another relevant physical property, of millions of derivative superstructures quickly and accurately. This model has been used in materials research for many years with great success. Currently the construction of a cluster expansion model presents several noteworthy challenges. While these challenges have obviously not prevented the method from being useful, addressing them will result in a big payoff in speed and accuracy. Two of the most glaring challenges encountered when constructing a cluster expansion model include:(i) determining which of the infinite number of clusters to include in the expansion, and (ii) deciding which atomic configurations to use for training data. Compressive sensing, a recently-developed technique in the signal processing community, is uniquely suited to address both of these challenges. Compressive sensing (CS) allows essentially all possible basis (cluster) functions to be included in the analysis and offers a specific recipe for choosing atomic configurations to be used for training data. We show that cluster expansion models constructed using CS predict more accurately than current state-of-the art methods, require little user intervention during the construction process, and are orders-of-magnitude faster than current methods. A Bayesian implementation of CS is found to be even faster than the typical constrained optimization approach, is free of any user-optimized parameters, and naturally produces error bars on the predictions made. The speed and hands-off nature of Bayesian compressive sensing (BCS) makes it a valuable tool for automatically constructing models for many different materials. Combining BCS with high-throughput data sets of binary alloy data, we automatically construct CE models for all binary alloy systems. This work represents a major stride in materials science and advanced materials development.
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Essomba, Rene Franck. « An investigation into Functional Linear Regression Modeling ». Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/15591.

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Functional data analysis, commonly known as FDA", refers to the analysis of information on curves of functions. Key aspects of FDA include the choice of smoothing techniques, data reduction, model evaluation, functional linear modeling and forecasting methods. FDA is applicable in numerous applications such as Bioscience, Geology, Psychology, Sports Science, Econometrics, Meteorology, etc. This dissertation main objective is to focus more specifically on Functional Linear Regression Modelling (FLRM), which is an extension of Multivariate Linear Regression Modeling. The problem of constructing a Functional Linear Regression modelling with functional predictors and functional response variable is considered in great details. Discretely observed data for each variable involved in the modelling are expressed as smooth functions using: Fourier Basis, B-Splines Basis and Gaussian Basis. The Functional Linear Regression Model is estimated by the Least Square method, Maximum Likelihood method and more thoroughly by Penalized Maximum Likelihood method. A central issue when modelling Functional Regression models is the choice of a suitable model criterion as well as the number of basis functions and an appropriate smoothing parameter. Four different types of model criteria are reviewed: the Generalized Cross-Validation, the Generalized Information Criterion, the modified Akaike Information Criterion and Generalized Bayesian Information Criterion. Each of these aforementioned methods are applied to a dataset and contrasted based on their respective results.
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Marinello, Martina. « Ataxin-7 SUMOylation and its functional consequences in the spinocerebellar ataxia type 7 (SCA7) pathophysiology ». Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066266/document.

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L'ataxie spinocérébelleuse de type 7 (SCA7) est une maladie neurodégénerative due à une expansion de CAG traduit en polyQ dans la protéine ataxine-7. La SUMOylation, modification post-traductionnelle que nous avons identifiée moduler l'agrégation de la protéine mutante, est facilitée par une SUMO E3 ligase.Nous avons identifié RanBP2, une nucléoporine appartenant au complexe du pore nucléaire en tant que SUMO E3 ligase, via SUMO-1 de l'ataxine-7. En effet, le silencing de RanBP2 induit l'agrégation de l'ataxine-7 mutante, ce qui démontre l'implication de RanBP2 dans la physiopathologie de SCA7. Nous montrons également que l'ataxine-7 endogène est une cible modifiée par SUMO-1 et -2. L'ataxine-7 poly-SUMOylée, grâce à la présence de chaines SUMO2/3, est capable de recruter RNF4. Cette protéine conduit à la dégradation de l'ataxine-7 mutante par la voie du protéasome. La dégradation est abolie en présence d'un mutant de RNF4.Dans un modèle murin KI SCA7, nous avons quantifié l'expression des gènes impliqués dans la voie de la SUMOylation au niveau des régions les plus touchées du cerveau. Le niveau d'expression des ARNs messagers montre des altérations dépendantes des répétitions CAG du gène SCA7. A 6 mois (avant le début de la pathologie), les premières dérégulations sont observées; à 12 mois (à un stade avancé de la maladie), on note une diminution statistiquement significative de Sumo-1 dans le cervelet des souris Atxn7100Q/5Q. Ces résultats, alliés à l'observation de l'accumulation anormale des protéines SUMO-1 et RanBP2 dans le cervelet d'un patient SCA7, suggèrent que les voies de la SUMOylation in vivo peuvent être perturbées dans SCA7
Spinocerebellar ataxia type 7 (SCA7) is a neurodegenerative disease caused by a CAG expansion (polyQ) in the protein ataxin-7. SUMOylation, a post-translational modification that we identified to modulate mutant protein aggregation in a SCA7 cellular model, is facilitated by a SUMO E3 ligase. Here, we identified RanBP2 (Nup358), a nucleoporin belonging to the nuclear pore complex, as the major E3 enzyme implicated in ataxin-7 modification by SUMO-1. Indeed, RanBP2 silencing renders mutant ataxin-7 more prone to aggregation, thus demonstrating the implication of RanBP2 in SCA7 pathophysiology. We also show that endogenous ataxin-7 is a target for both SUMO-1 and -2 modification. Poly-SUMOylated ataxin-7 presents a docking site composed of SUMO2/3 chains for the recruitment of RNF4: this protein is a SUMO E3 ubiquitin ligase that mediates degradation of mutant ataxin-7 by the proteasome pathway. The degradation is abolished in presence of a mutant form of RNF4. In a SCA7 knock-in mouse model we quantified expression of SUMO-pathway related genes in cerebellum and retina, the most affected regions using quantitative RT-PCR. SUMO-related genes show expanded repeat-dependent alterations in expression patterns. At 6 months (before onset), deregulations begin to occur; by 12 months (late stage of disease), there is a statistically significant impairment in Sumo-1 levels in Atxn7100Q/5Q cerebellum. These results, together with the observation that SUMO-1 and RanBP2 protein accumulate abnormally in the cerebellum of a SCA7 patient, suggest that in vivo SUMO-modifying pathways may be perturbed in SCA7
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Karch, Matthias Ottmar. « Design and Manufacturing of Hierarchical Multi-Functional Materials Via High Resolution additive Manufacturing ». Master's thesis, Virginia Tech, 2017. http://tuprints.ulb.tu-darmstadt.de/6788/1/Master_Thesis_Karch_Matthias_Ottmar.pdf.

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Musser, Jason. « Higher Derivatives of the Hurwitz Zeta Function ». TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1093.

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The Riemann zeta function ζ(s) is one of the most fundamental functions in number theory. Euler demonstrated that ζ(s) is closely connected to the prime numbers and Riemann gave proofs of the basic analytic properties of the zeta function. Values of the zeta function and its derivatives have been studied by several mathematicians. Apostol in particular gave a computable formula for the values of the derivatives of ζ(s) at s = 0. The Hurwitz zeta function ζ(s,q) is a generalization of ζ(s). We modify Apostolʼs methods to find values of the derivatives of ζ(s,q) with respect to s at s = 0. As a consequence, we obtain relations among certain important constants, the generalized Stieltjes constants. We also give numerical estimates of several values of the derivatives of ζ(s,q).
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Bhattacharyya, Anirban. « Application of effective field theory to density functional theory for finite systems ». Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1124116299.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xv, 210 p.; also includes graphics (some col.). Includes bibliographical references (p. 205-210). Available online via OhioLINK's ETD Center
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Motta, Cecilia Margarida Mendes. « Effect of surface functional groups on chondrocyte behavior using molecular gradients ». University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1460392374.

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Livres sur le sujet "Functional expansion"

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P, Banks Stephen. A functional expansion and stability for nonlinear input-output maps. Sheffield : University of Sheffield, Dept. of Control Engineering, 1989.

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Christensen, Ole. Functions, Spaces, and Expansions. Boston : Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4980-7.

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Brown, Richard James. Asymptotic expansions of Zeta functions. Manchester : University of Manchester, 1996.

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Chang, Chiu-Cheng. A unified approach to uniqueness, expansion, and approximation problems. Singapore : World Scientific, 1994.

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Kislyakov, Sergey. Extremal Problems in Interpolation Theory, Whitney-Besicovitch Coverings, and Singular Integrals. Basel : Springer Basel, 2013.

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Flajolet, Philippe. Singularity analysis of generating functions. Stanford, Calif : Dept. of Computer Science, Stanford University, 1988.

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Functions, spaces, and expansions : Mathematical tools in physics and engineering. Boston, Mass : Birkhäuser, 2010.

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Németh, Géza. Mathematical approximation of special functions : Ten papers on Chebyshev expansions. New York : Nova Science Publishers, 1992.

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1960-, Costin O., Kruskal Martin D. 1925- et Macintyre A. 1941-, dir. Analyzable functions and applications : International Workshop on Analyzable Functions and Applications, June 17-21, 2002, International Centre for Mathematical Sciences, Edinburgh, Scotland. Providence, R.I : American Mathematical Society, 2005.

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Marti, Kurt. Differentiation of probability functions : The transformation method. Neubiberg : Forschungsschwerpunkt Simulation und Optimierung Deterministischer und Stochastischer Dynamischer Systeme, Universität der Bundeswehr München, 1994.

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Chapitres de livres sur le sujet "Functional expansion"

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Berezansky, Yurij M., Zinovij G. Sheftel et Georgij F. Us. « Expansion in Generalized Eigenvectors ». Dans Functional Analysis, 185–210. Basel : Birkhäuser Basel, 1996. http://dx.doi.org/10.1007/978-3-0348-9024-3_4.

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Kopietz, Peter, Lorenz Bartosch et Florian Schütz. « Vertex Expansion ». Dans Introduction to the Functional Renormalization Group, 209–32. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05094-7_8.

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Kopietz, Peter, Lorenz Bartosch et Florian Schütz. « Derivative Expansion ». Dans Introduction to the Functional Renormalization Group, 233–47. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05094-7_9.

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Sorrenti, Giovanni, Giuseppe Caccamo, Irene Pelligra, Maria Grazia Lo Russo, Andi Abeshi et Ottavio Piccin. « Barbed Functional Expansion Pharyngoplasty ». Dans Barbed Pharyngoplasty and Sleep Disordered Breathing, 341–50. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96169-5_32.

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Giese, Timothy J., et Darrin M. York. « Density-functional expansion methods : grand challenges ». Dans Highlights in Theoretical Chemistry, 51–67. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34450-3_5.

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Welbaum, Gregory E. « Water Relations and Cell Expansion of Storage Tissue ». Dans Sugarcane : Physiology, Biochemistry, and Functional Biology, 197–220. Chichester, UK : John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118771280.ch9.

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Chen, Yong Mei, Xue Qi Zhao et Zhen Qi Liu. « Synthetic Hydrogels for Expansion of Functional Endothelial Cells ». Dans Springer Series in Biomaterials Science and Engineering, 31–71. Berlin, Heidelberg : Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57511-6_2.

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Mauer, Michael, et Paolo Fioretto. « Mesangial expansion in diabetic nephropathy : functional and genetic considerations ». Dans Diabetic Renal-Retinal Syndrome, 19–26. Dordrecht : Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4962-4_3.

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Breuer, H. P., A. Ma et F. Petruccione. « Time-Local Master Equations : Influence Functional and Cumulant Expansion ». Dans Quantum Computing and Quantum Bits in Mesoscopic Systems, 263–71. Boston, MA : Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9092-1_29.

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Hu, Xiying, Cuiping Huang et Wei Wu. « The Study of the Expansion of Urban Functional Land in Ganzhou ». Dans Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, 226–34. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-3977-0_17.

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Actes de conférences sur le sujet "Functional expansion"

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Qifang Luo, Yongquan Zhou et Xiuxi Wei. « A functional network modeling approach for function series expansion ». Dans 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5357924.

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Kondo, Kimio, Noritaka Osawa, Kikuo Asai et Hitoshi Ohnishi. « Functional Expansion of Space Collaboration System ». Dans 21st International Communications Satellite Systems Conference and Exhibit. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-2425.

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Paulius, David, Ahmad B. Jelodar et Yu Sun. « Functional Object-Oriented Network : Construction & ; Expansion ». Dans 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8460200.

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Burlacu, Alexandra. « TERRITORIAL EXPANSION AND FUNCTIONAL ZONING OF BOTOSANI TOWN ». Dans 5th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS SGEM2018. STEF92 Technology, 2018. http://dx.doi.org/10.5593/sgemsocial2018/5.2/s19.032.

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Lassila, Eero. « A functional macro expansion system for optimizing code generation ». Dans the second ACM SIGPLAN international conference. New York, New York, USA : ACM Press, 1997. http://dx.doi.org/10.1145/258948.258984.

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Yang, Seungwon, et Jongseok Lee. « Functional Expansion of Morphological Analyzer For Efficient Korean Parsing ». Dans 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2018. http://dx.doi.org/10.1109/snpd.2018.8441124.

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Johnson, A., K. Wilsdon, L. Kerby et C. Juneau. « An Introduction to a Generalized Functional Expansion Tally Library ». Dans 2020 ANS Virtual Winter Meeting. AMNS, 2020. http://dx.doi.org/10.13182/t123-33449.

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Swetz, Dennis, Samantha E. Seymour, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Andre Monteiro, Ammad A. Baig, Muhammad Waqas et al. « Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning ». Dans Biomedical Applications in Molecular, Structural, and Functional Imaging, sous la direction de Barjor S. Gimi et Andrzej Krol. SPIE, 2022. http://dx.doi.org/10.1117/12.2610672.

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Kim, Jinwoo, Robert Close, Hisashi Taketani, Rong-Long Wan, Kozo Okazaki et Shinichi Tamura. « Orthogonal Functional Expansion Method of Optical Flow for Large Displacement ». Dans 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.241.

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Liu, Junming, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu et Hui Xiong. « Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion ». Dans KDD '17 : The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA : ACM, 2017. http://dx.doi.org/10.1145/3097983.3098180.

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Rapports d'organisations sur le sujet "Functional expansion"

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Fraterrigo, Jennifer, et Eugenie Euskirchen. Final Technical Report : Arctic Shrub Expansion, Plant Functional Trait Variation, and Effects on Belowground Carbon Cycling. Office of Scientific and Technical Information (OSTI), octobre 2022. http://dx.doi.org/10.2172/1892086.

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Gohin, Alex, et Thomas Hertel. A Note on the CES Functional Form and Its Use in the GTAP Model. GTAP Research Memoranda, octobre 2003. http://dx.doi.org/10.21642/gtap.rm02.

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The purpose of this note is to provide an exhaustive reference for those interested in learning more about the Constant Elasticity of Substitution (CES) function and its use in the representation of producer behavior in the GTAP model. Particular attention is paid to the role of technical change variables and their effect on cost minimizing demands and input shares. This note is divided into three sections. In the first section, the basic cost minimization problem is laid out and conditional factor demands, as well as the unit cost function, are derived. In section two, this system of equations is expressed in terms of proportional changes, as currently specified in GTAP. This greatly facilitates decomposition of predicted changes in demands and costs between three effects, namely expansion, substitution, and technical change effects. Section two also shows the relationship between changes in cost shares and changes in prices and factor-biased technical change variables. Finally, section three relates these derivations to the notation employed in GTAP.
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Katzir, Nurit, James Giovannoni, Marla Binzel, Efraim Lewinsohn, Joseph Burger et Arthur Schaffer. Genomic Approach to the Improvement of Fruit Quality in Melon (Cucumis melo) and Related Cucurbit Crops II : Functional Genomics. United States Department of Agriculture, janvier 2010. http://dx.doi.org/10.32747/2010.7592123.bard.

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Background: Genomics tools for enhancement of melon research, with an emphasis on fruit, were developed through a previous BARD project of the PIs (IS -333-02). These included the first public melon EST collection, a database to relay this information to the research community and a publicly available microarray. The current project (IS-3877- 06) aimed to apply these tools for identification of important genes for improvement of melon (Cucumis melo) fruit quality. Specifically, the research plans included expression analysis using the microarray and functional analyses of selected genes. The original project objectives, as they appeared in the approved project, were: Objective 1: Utilization of a public melon microarray developed under the existing project to characterize melon transcriptome activity during the ripening of normal melon fruit (cv. Galia) in order to provide a basis for both a general view of melon transcriptome activity during ripening and for comparison with existing transcriptome data of developing tomato and pepper fruit. Objective 2: Utilization of the same public melon microarray to characterize melon transcriptome activity in lines available in the collection of the Israeli group, focusing on sugar, organic acids and aroma metabolism, so as to identify potentially useful candidates for functional analysis and possible manipulation, through comparison with the general fruit development profile resulting from (1) above. Objective 3: Expansion of our existing melon EST database to include publicly available gene expression data and query tools, as the US group has done with tomato. Objective 4: Selection of 6-8 candidate genes for functional analysis and development of DNA constructs for repression or over-expression. Objective 5: Creation of transgenic melon lines, or transgenic heterologous systems (e.g. E. coli or tomato), to assess putative functions and potential as tools for molecular enhancement of melon fruit quality, using the candidate gene constructs from (4).
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Barg, Rivka, Erich Grotewold et Yechiam Salts. Regulation of Tomato Fruit Development by Interacting MYB Proteins. United States Department of Agriculture, janvier 2012. http://dx.doi.org/10.32747/2012.7592647.bard.

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Background to the topic: Early tomato fruit development is executed via extensive cell divisions followed by cell expansion concomitantly with endoreduplication. The signals involved in activating the different modes of growth during fruit development are still inadequately understood. Addressing this developmental process, we identified SlFSM1 as a gene expressed specifically during the cell-division dependent stages of fruit development. SlFSM1 is the founder of a class of small plant specific proteins containing a divergent SANT/MYB domain (Barg et al 2005). Before initiating this project, we found that low ectopic over-expression (OEX) of SlFSM1 leads to a significant decrease in the final size of the cells in mature leaves and fruits, and the outer pericarp is substantially narrower, suggesting a role in determining cell size and shape. We also found the interacting partners of the Arabidopsis homologs of FSM1 (two, belonging to the same family), and cloned their tomato single homolog, which we named SlFSB1 (Fruit SANT/MYB–Binding1). SlFSB1 is a novel plant specific single MYB-like protein, which function was unknown. The present project aimed at elucidating the function and mode of action of these two single MYB proteins in regulating tomato fruit development. The specific objectives were: 1. Functional analysis of SlFSM1 and its interacting protein SlFSB1 in relation to fruit development. 2. Identification of the SlFSM1 and/or SlFSB1 cellular targets. The plan of work included: 1) Detailed phenotypic, histological and cellular analyses of plants ectopically expressing FSM1, and plants either ectopically over-expressing or silenced for FSB1. 2) Extensive SELEX analysis, which did not reveal any specific DNA target of SlFSM1 binding, hence the originally offered ChIP analysis was omitted. 3) Genome-wide transcriptional impact of gain- and loss- of SlFSM1 and SlFSB1 function by Affymetrix microarray analyses. This part is still in progress and therefore results are not reported, 4) Search for additional candidate partners of SlFSB1 revealed SlMYBI to be an alternative partner of FSB1, and 5) Study of the physical basis of the interaction between SlFSM1 and SlFSB1 and between FSB1 and MYBI. Major conclusions, solutions, achievements: We established that FSM1 negatively affects cell expansion, particularly of those cells with the highest potential to expand, such as the ones residing inner to the vascular bundles in the fruit pericarp. On the other hand, FSB1 which is expressed throughout fruit development acts as a positive regulator of cell expansion. It was also established that besides interacting with FSM1, FSB1 interacts also with the transcription factor MYBI, and that the formation of the FSB1-MYBI complex is competed by FSM1, which recognizes in FSB1 the same region as MYBI does. Based on these findings a model was developed explaining the role of this novel network of the three different MYB containing proteins FSM1/FSB1/MYBI in the control of tomato cell expansion, particularly during fruit development. In short, during early stages of fruit development (Phase II), the formation of the FSM1-FSB1 complex serves to restrict the expansion of the cells with the greatest expansion potential, those non-dividing cells residing in the inner mesocarp layers of the pericarp. Alternatively, during growth phase III, after transcription of FSM1 sharply declines, FSB1, possibly through complexing with the transcription factor MYBI serves as a positive regulator of the differential cell expansion which drives fruit enlargement during this phase. Additionally, a novel mechanism was revealed by which competing MYB-MYB interactions could participate in the control of gene expression. Implications, both scientific and agricultural: The demonstrated role of the FSM1/FSB1/MYBI complex in controlling differential cell growth in the developing tomato fruit highlights potential exploitations of these genes for improving fruit quality characteristics. Modulation of expression of these genes or their paralogs in other organs could serve to modify leaf and canopy architecture in various crops.
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Li, Xuan, Junjie Wang, Jing Mao et Yunnan Li. Therapeutic effects of traditional Chinese medicine fumigating plus Yang-He decoction for patients with ankylosing spondylitis : A systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, avril 2023. http://dx.doi.org/10.37766/inplasy2023.4.0074.

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Review question / Objective: To assess the therapeutic effects of combined TCMF with YHD for AS patients. Condition being studied: Traditional Chinese medicine fumigating (TCMF) and Yang-He decoction (YHD) are widely used for ankylosing spondylitis (AS), whether combined used TCMF and YHD provides superior therapeutic effects for AS remained unclear. Eligibility criteria: (1) Patients: adult patients diagnosed with AS; (2) Treatments: TCMF plus YHD, TCMF, YHD, and WM; (3) Outcomes: the primary endpoint was effective rate, and the secondary endpoints including Visual Analogue Scale (VAS) score, Schober test (ST), thoracic expansion (TE), finger-floor distance (FFD), pillow-wall distance (PWD), spinal column activity (SCA), morning stiffness time (MST), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP); and (4) Study design: the study had to have RCT design.
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Mudaliar, Saba. Asymptotic Expansions for a Class of Hypergeometric Functions. Fort Belvoir, VA : Defense Technical Information Center, août 1992. http://dx.doi.org/10.21236/ada280374.

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Zhou. L52286 Limit State Function Development for the Application of RBD and Assessment to Onshore Pipelines. Chantilly, Virginia : Pipeline Research Council International, Inc. (PRCI), avril 2008. http://dx.doi.org/10.55274/r0010253.

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For pipelines that utilize high design factors, excessive plastic deformation may occur in the hoop direction under internal pressure applied during field hydrostatic testing. Excessive plastic deformation can lead to coating damage and subsequent corrosion. Therefore, a limit state function for excessive plastic deformation was established to address this condition. The limit state function was established as the allowable plastic strain minus the accumulated plastic hoop strain induced by hydrostatic test pressure. The objective of this study was to expand the limit state function library to allow a wider range of conditions and threats to be explicitly considered in the application of RBDA. The new limit state functions developed in this study are applicable to situations involving excessive plastic deformation under hydrostatic testing pressure, restrained thermal expansion, seam-weld defects and stress-corrosion cracking (SCC). The basic assumptions and methodologies used to develop these limit state functions are described in this report. Probabilistic characteristics of the input parameters (including model uncertainties) associated with each limit state function are also summarized based on publicly available literature, studies funded by PRCI and data provided by PRCI members.
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Duston, Mark D., Robert P. Gilbert et David H. Wood. Approximate Expansion for Function Theoretic Representation of Solutions of the Helmholtz Equation. Fort Belvoir, VA : Defense Technical Information Center, août 1987. http://dx.doi.org/10.21236/ada227339.

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Warren, T. L., et M. R. Tabbara. Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems. Office of Scientific and Technical Information (OSTI), mai 1997. http://dx.doi.org/10.2172/481577.

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Longcope, Donald B. ,. Jr, Thomas Lynn Warren et Henry Duong. Aft-body loading function for penetrators based on the spherical cavity-expansion approximation. Office of Scientific and Technical Information (OSTI), décembre 2009. http://dx.doi.org/10.2172/986592.

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