Готові списки джерел за темами / Shape functional

Добірка наукової літератури з теми "Shape functional"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Shape functional"

1

Kolehmainen, J., H. Häkkinen, M. Manninen, and M. Koskinen. "Linear Nuclei: A Density Functional Interpretation." International Journal of Modern Physics E 06, no. 03 (September 1997): 507–13. http://dx.doi.org/10.1142/s0218301397000287.

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We show that linear shape isomers of small even-even nuclei exist with nearly any internucleon interactions. The shapes of the linear isomers look like chains of alpha-particles, but single-particle spectrum reveals that alpha-particle interpretation is not needed. Indeed, the same shapes are obtained even with noninteracting particles in a rectangular cavity. Linear shape isomers are shown to exist also in metal clusters.
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2

Zhao, Pengwei, and Zhipan Li. "Spectroscopies of rod- and pear-shaped nuclei in covariant density functional theory." International Journal of Modern Physics E 27, no. 10 (October 2018): 1830007. http://dx.doi.org/10.1142/s0218301318300072.

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The spectroscopic properties play a crucial role in understanding the structure of nuclei, in particular, the shape and shape transitions of nuclei. In recent years, the exotic shapes of nuclear systems, such as the rod and pear shapes, have attracted a lot of attention. Covariant density functional theory (CDFT) has become a standard tool for nuclear structure calculations, and it provides a global and accurate description of nuclear ground states and excitations. In the present paper, we briefly review the recent progress in covariant density functional theory (DFT) for spectroscopic properties of the rod- and pear-shaped nuclei with the cranking calculations in a rotating mean field and the collective Hamiltonian method beyond mean field. The novel linear-chain structure of alpha clustering is discussed with the cranking approach, and low lying spectra of pear-shaped nuclei are illustrated with the quadrupole–octupole collective Hamiltonian.
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3

Helander, Sami, Petra Laketa, Pauliina Ilmonen, Stanislav Nagy, Germain Van Bever, and Lauri Viitasaari. "Integrated shape-sensitive functional metrics." Journal of Multivariate Analysis 189 (May 2022): 104880. http://dx.doi.org/10.1016/j.jmva.2021.104880.

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4

Delecroix, Michel, Michel Simioni, and Christine Thomas-agnan. "Functional estimation under shape constraints." Journal of Nonparametric Statistics 6, no. 1 (January 1996): 69–89. http://dx.doi.org/10.1080/10485259608832664.

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5

Plotnikov, P. I., and J. Sokolowski. "Shape Derivative of Drag Functional." SIAM Journal on Control and Optimization 48, no. 7 (January 2010): 4680–706. http://dx.doi.org/10.1137/090758179.

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6

Xu, Li, and Yili Hong. "Functional and Shape Data Analysis." Journal of Quality Technology 49, no. 4 (October 2017): 419–20. http://dx.doi.org/10.1080/00224065.2017.11918007.

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7

Shin, Su-Mi, Hye-In Park, and A.-Young Sung. "Development of Functional Ophthalmic Materials Using Natural Materials and Gold Nanoparticles." Micromachines 13, no. 9 (September 1, 2022): 1451. http://dx.doi.org/10.3390/mi13091451.

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Ginsenoside, known as a natural substance, is a saponin component in ginseng and has various effects, such as antibacterial, antioxidant, and anti-inflammatory effects. In addition, gold nanoparticles can realize various optical and physical properties according to particle size and shape. For polymer polymerization, ginsenoside and gold nanoparticles were used as additives and copolymerized with a basic silicone hydrogel material. As gold nanoparticles, spherical and rod-shaped particles were used, and basic physical properties, such as water content, refractive index, and wettability of the prepared ophthalmic lenses, were measured. As a result of measuring the physical properties of the resulting polymer, it was found that the contact angle decreased by about 1.6% to 83.1% as the addition ratio of ginsenoside increased. In addition, as the addition ratio of metal nanoparticles increased, the refractive index was found to increase regardless of the shape of the nanoparticles. In addition, in the case of water content, the spherical shape gradually decreased according to the addition ratio, while the rod shape gradually increased according to the addition ratio. Therefore, it was found that the addition of ginsenoside, known as a saponin-based natural substance, has excellent wettability, and gold nanoparticles with different shapes have different properties. Thus, it is judged that the resulting copolymer can be utilized as a variety of highly functional ophthalmic polymer materials with high refractive index and high wettability.
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8

Cao, Dongliang, Paul Roetzer, and Florian Bernard. "Unsupervised Learning of Robust Spectral Shape Matching." ACM Transactions on Graphics 42, no. 4 (July 26, 2023): 1–15. http://dx.doi.org/10.1145/3592107.

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We propose a novel learning-based approach for robust 3D shape matching. Our method builds upon deep functional maps and can be trained in a fully unsupervised manner. Previous deep functional map methods mainly focus on predicting optimised functional maps alone, and then rely on off-the-shelf post-processing to obtain accurate point-wise maps during inference. However, this two-stage procedure for obtaining point-wise maps often yields sub-optimal performance. In contrast, building upon recent insights about the relation between functional maps and point-wise maps, we propose a novel unsupervised loss to couple the functional maps and point-wise maps, and thereby directly obtain point-wise maps without any post-processing. Our approach obtains accurate correspondences not only for near-isometric shapes, but also for more challenging non-isometric shapes and partial shapes, as well as shapes with different discretisation or topological noise. Using a total of nine diverse datasets, we extensively evaluate the performance and demonstrate that our method substantially outperforms previous state-of-the-art methods, even compared to recent supervised methods. Our code is available at https://github.com/dongliangcao/Unsupervised-Learning-of-Robust-Spectral-Shape-Matching.
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9

Vellanki, Pratibha, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, and Svetha Venkatesh. "Bayesian Functional Optimisation with Shape Prior." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1617–24. http://dx.doi.org/10.1609/aaai.v33i01.33011617.

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Real world experiments are expensive, and thus it is important to reach a target in a minimum number of experiments. Experimental processes often involve control variables that change over time. Such problems can be formulated as functional optimisation problem. We develop a novel Bayesian optimisation framework for such functional optimisation of expensive black-box processes. We represent the control function using Bernstein polynomial basis and optimise in the coefficient space. We derive the theory and practice required to dynamically adjust the order of the polynomial degree, and show how prior information about shape can be integrated. We demonstrate the effectiveness of our approach for short polymer fibre design and optimising learning rate schedules for deep networks.
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10

Courty, F., and A. Dervieux. "Multilevel functional preconditioning for shape optimisation." International Journal of Computational Fluid Dynamics 20, no. 7 (August 2006): 481–90. http://dx.doi.org/10.1080/10618560600839415.

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Дисертації з теми "Shape functional"

1

Guo, Li. "Shape blending using discrete curvature-variation functional /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202005%20GUO.

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2

Chung, Jinpyung 1967. "Functional requirements to shape generation in CAD." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29628.

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Анотація:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, June 2003.
Includes bibliographical references (p. 119-121).
An outstanding issue in computer-aided design (CAD) is the creation of geometric shapes from the description of functional requirements (FRs). This thesis presents a method that can generate assembled shapes from the given FRs without human intervention. To achieve this goal, the design process follows a V-model of decomposition and integration based on axiomatic design. The V-model consists of three main sub-processes; (1) a top-down decomposition of FRs and design parameters (DPs), (2) mapping of DPs into geometric entities, and (3) a bottom-up integration of the geometric entities. A shape decomposition technique is used in the V-model to generate solid cells from the geometric entities in the CAD models based on FRs. These cells are stored and reused during the integration process. A set of cells mapped to an FR is called a functional geometric feature (FGF) to differentiate it from geometric features defined by only geometric characteristics. Each FGF has mating faces as its pre-defined interfaces. Links of FR-DP-FGF-INTERFACES and their hierarchies are made and stored in the database as fundamental units for automatic assembled shape generation. The retrieval of proper FGF from the database is performed by matching a query FR with stored FRs by a lexical search based on the frequency of words and the sequence of the words in the FR statements using a synonym checking system. The language-matching rate is calculated as a value of FRmetric between 0 and 1. A computer algorithm automatically combines and assembles the retrieved FGFs. Genetic algorithm (GA) searches for the best combination for matching interface types and generates assembly sequences.
(cont.) From the highest-valued chromosome, the computer algorithm automatically assembles FGFs by coordinating, orienting, and positioning with reference to the given mating conditions and calculates geometric interface-ability to a value of INTERFACEmetric between 0 and 1. The higher the values of FRmetric and INTERFACEmetric, the better the generated design solution for the given FRs that must be satisfied. The process of top-down decomposition and bottom-up integration reduces the number of possible combinations of interfacing FGFs. Design matrix visually relates FRs to FGFs. The method presented in this thesis has demonstrated that a "functional CAD" can aid designers in generating conceptual design solutions from functional descriptions, in reusing existing CAD models, and in creating new designs.
by Jinpyung Chung.
Ph.D.
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3

Zhang, Jun. "Shape control in synthesis of functional nanocrystals." Diss., Online access via UMI:, 2009.

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4

Adiguzel, O. "Phase Transition and Functional Characteristics of Shape Memory Alloys." Thesis, Sumy State University, 2012. http://essuir.sumdu.edu.ua/handle/123456789/35059.

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Shape-memory alloys are a new class of functional materials with a peculiar property known as shape memory effect. These alloys have an ability to recover a particular shape. The origin of this phenomenon lies in the fact that the material changes its internal crystalline structure with changing temperature. Copper based ternary alloys exhibit shape memory effect in metastable - phase field. These alloys undergo two ordered transitions on cooling, and bcc structures turn into B2(CsCl) or DO3(Fe3Al) -type ordered structures. The ordered structures martensitically undergo the non-conventional layered structures on further cooling. These structures are called as 3R, 9R or 18R martensites depending on the stacking sequences on the close-packed planes of the matrix. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/35059
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5

Li, Wenhua. "Shape Control and Functional Properties of Copper Chalcogenide Colloidal Nanocrystals." Doctoral thesis, Universitat de Barcelona, 2013. http://hdl.handle.net/10803/131051.

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The high quality CuxS nanocrystals were synthesized (Chapter 3) and the profound understanding and skills to prepare colloidal nanocrystals has been obtained and improved. It revealed a very simple synthetic route not only for the systematic investigation on the size control of the copper sulfide nanodisks but also for studying the influence of different stoichiometric ratios on the shape of copper sulfide nanocrystals. An increase of the precursor concentration in the growth solution resulted in the formation of tetradecahedral and dodecahedral nanocrystals. XRD results showed these nanodisks had a similar composition close to Cu1.78S as spherical nanocrystals, however, the tetradecahedral and dodecahedral nanocrystals were characterized with a composition close to Cu1.96S as deduced from their djurleite crystal phase. An oriented attachment was proposed as growth mechanism for polyhedrons growth and the slow nucleation rate allows an accurate control of the size and morphology of CuxS nanocrystals, from spheres and disks to tetradecahedrons and dodecahedrons by tuning the precursor concentration from 0.05 M to 1.0 M and reaction conditions. Dodecahedrons with different size can be easily prepared by elongating the reaction time. These nanocrystals can be used as cathodes in all-vanadium redox flow batteries and showed a significant improvement of the cathodic reaction reversibility, especially the dodecahedrons. The CuxSe nanocubes with mean edge length of 17 nm±0.9 nm were synthesized (Chapter 4). The role of various metal ions playing on shape of CuxSe nanocrystals was discussed during the synthesis. The underlying mechanism was illustrated by preparing copper selenide nanocubes in the presence of Al ions whereas there was no any Al detected on the surface or within the final cubes. The morphology control is proved to be thermodynamically directed during the ripening regime and it exemplified the shape-direction of semiconductor nanocrystals by metal ions for the first time. It is a platform to produce cubic nanoparticles with different composition by cation exchange such as Ag2Te nanocubes. The plasmonic properties of the obtained nanocubes were further characterized and it demonstrated the strong plasmonic absorption peak at 950 nm. A reproducible procedure to prepare highly monodisperse copper telluride nanocubes, nanoplates and nanorods was presented in Chapter 5. The procedure is based on the reaction of a copper salt with trioctylphosphine telluride (TOP-Te) in the presence of Lithium bis(trimethylsilyl) amide (LiN(SiMe3)2), trioctylphosphine (TOP), trioctylphosphine oxide (TOPO) and oleylamine (OLA). The high reaction temperature as 220 °C was found to be necessary to obtain cube-shaped NPs with narrow size distributions. By tuning the precursor ratio of Cu:Te, the size of these nanocubes could be controlled in the range between 10 and 20 nm. When decreasing the reaction temperature to 190 °C and the growth time to 15 min, highly homogeneous copper telluride nanoplates were produced. An increase of the TOP concentration from 0.125 ml to 0.75 ml resulted in the formation of nanorods. It was proposed the LiN(SiMe3)2 to activate the formation of a Cu-oleylamido complex and it is the actual species reacting with TOP-Te. The Cu-oleyamido complexes and/or lithium oleylamine may play a key role stabilizing the NP surface during growth. Copper telluride nanocubes and nanoplates display a strong near-infrared optical absorption at 900nm associated to localized surface plasmon resonances. This plasmon resonance can be exploited for the design of surface-enhanced Raman scattering (SERS) sensors for unconventional optical probes such as nile red containing oxygen based functional groups. This is the first time using Cu-chalcogenide as probes for SERS application and demonstrates its potential interest in future. Preliminary analysis of the use of copper telluride nanocubes as cytotoxic and photothermal agents is also discussed herein.
Inicialment vam establir les condicions per preparar Cu(x)S. Com a mecanisme de creixement es va proposar el que es coneix amb el nom d’oriented attachment, en el qual els nanocristalls s’uneixen en una determinada orientació per formar altres formes més complexes. Establint les condicions en les quals es donava aquest mecanisme podíem produir nanocristalls de Cu2-xS amb un acurat control sobre la seva composició i/o forma, des de partícules esfèriques fins a nanopartícules en forma de disc o bé acanat amb partícules amb forma tetradecaèdríca o dodecaèdríca. Aquest control es va aconseguir simplement variant la concentració del precursor i les condicions de reacció. El segon sistema que es va estudiar va ser la producció de nanocristalls de Cu(x)Se. En el nostre treball preteniem descobrir nous procediments per sintetitzar nanocristalls de Cu(x)Se controlant la seva morfologia. Es va descubrir que es podia controlar la forma final dels nanocristalls de Cu(x)Se simplement introduint ions metàl•lics a la solució. En particular, en presència d’ions d’alumini es van produir nanocubs amb una longitud lateral de 17 nm ± 0.9 nm. Addicionalment es van estudiar les propietats plasmòniques d’aquests nanocubs. També es van utilizar aquests cubs de seleniur de coure com a base per produir cubs d’altres semiconductors a travès de l’intercanvi catiònic. Com a exemple es van produir cubs de Ag(2)Te. Finalment, es va estudiar el calcogenur binari, Cu(x)Te. Es va desenvolupar un mètode de síntesi per produïr nanocubs, nanoplaques i nanorods altament monodispersos. Es va observar que els paràmetres clau per controlar la forma eren la temperatura i la quantitat de surfactants. En canvi, per controlar el tamany es va observar que el paràmetre més important era la proporció entre Cu i Te present a la solució. Aquests nanocristalls posseïen propietats plasmòniques amb un pic d’absorpció al voltant dels 900 nm.
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6

Paine, Jeffrey Steven Nelson. "Multi-functional SMA hybrid composite materials and their applications /." This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-162936/.

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7

Paulsson, Niklas. "Shape and dynamical consequences of the functional response of Daphnia magna." Thesis, Umeå universitet, Institutionen för ekologi, miljö och geovetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80025.

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The zooplankter genus Daphnia have been one of the most popular model organism for studies on population dynamics for a long time. Most models constructed as a part of these studies use a Type II Hollings functional response and whether the Type III response typeoccurs in Daphnia sp. or not has been the subject of debate. Recent studies, however, reveal evidence of a Type III response and challenge this opinion. This study explains and illustrates the theoretical instability of a system modelled with the type II response and the more stable nature of a type III system through the use of both simulations and graphs.Furthermore, both a short term experiment in which Daphnia magna were fed Monoraphidium minutum so that the functional response could be studied and a long term experiment with the purpose of constructing a model that describes the population dynamics were performed. The functional response experiment indicated the possibility of a type III functional response, but due to large variation within low food density treatments it cannot be clearly distinguished from a type II response. The general trend, however, seems to indicate that if there is a type III response, it is not stabilizing. Unfortunately, the long termdynamics experiment suffered from too much unexplainable D. magna mortality to conclude anything besides the fact that enrichment seems to increase the maximum number Daphniaof individuals the system may sustain. Future studies should consider the improvements suggested of the experimental design to help prevent similar problems.
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8

Corum, Katharine Witkin. "Theoretical discovery of shape reactivity relationships in aluminum nanoclusters." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/6718.

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Keggin-based aluminum nanoclusters have been noted to be efficient sorbents for the adsorption of arsenic, copper, lead, and zinc from water. Obtaining a molecular-level understanding of the adsorption processes associated with these molecules is of fundamental importance and could pave the way for rational design strategies for water treatment. Furthermore, due to their size and the availability of experimental crystal structures, Al nanoclusters are computationally tractable at the atomistic modeling level. The adsorption of contaminants onto metal-oxide surfaces with nanoscale Keggin-type structural topologies has been established, but identification of the reactive sites and the exact binding mechanism are lacking. In more common surface studies the two main factors that affect reactivity have been found to be charge and functional group identity. Since Al nanoclusters each have a distinct shape we introduce the effects of shape as a third factor. In all the work presented in this dissertation, it is extremely apparent that the shape of the aluminum particle plays the most important role in nanoparticle reactivity studies. We first focus on the reactivity of three aluminum polycations: [Al13O4(OH)24(H2O)12]7+ (Al13), [Al30O8(OH)56(H2O)26]18+ (Al30), and [Al32O8(OH)60(H2O)30]20+ (Al32). Using outer-sphere adsorption of sulfate and chloride as probe adsorbents, density functional theory (DFT) calculations determined that the reactivity can be represented as a function of particle topology, and not functional group identity or charge. Further exploring the shape-reactivity relationship of Al30 we reveal that cations and anions have opposing trends and ion reactivity can be generalized. It is determined that all cations favor the adsorption sites on the caps of Al30 and all anions favor adsorption in the beltway (middle) region. This result is supported by the visualization of the electrostatic potential of Al30 and three-dimensional induced charge density maps. The middle of the cluster is more positive than the caps, and this promotes anion adsorption in the beltway and cation adsorption on the caps. Next we explore the reactivity of co-adsorption (outer-sphere anions and inner-sphere cations) onto Al30 through a collaborative approach. Al30 with two surface-bound Cu2+ cations (Cu2Al30-S) was experimentally crystallized in the presence of disulfonate anions; however, in the Cu2Al30-S structure the cations bind to the beltway region of the cluster. Using DFT we determined that the counter anions play a key (and governing) role in the crystallization of Cu2Al30-S. This result that outer-sphere adsorption dictates inner-sphere adsorption does not appear in surface calculations, it is unique to Keggin studies. Seeing that all anions favor adsorption to the beltway region and all cations favor adsorption to the cap region we set out to determine if any reactivity patterns can be reversed. In order to do this inner-sphere As(V) and P(V) adsorption is modeled onto Al30 through another collaborative approach. The experimental crystal structure of (TBP)2[Al2(μ4-O8)(Al28(μ2-OH)56(H2O)26)]14+ (where TBP = t-butylphosphonate (CH3)3CPO3) has been synthesized, and using DFT calculations we can alter the R-group of P(V) or the DFT As(V) analogue to see if the inner-sphere anion ever prefers to bind to the cap region instead of the beltway. We observe that no matter the intrinsic properties of the R-group the anion always prefers to bind to the beltway region, which once again shows that the shape-reactivity relationship plays a major role in Keggin based structure reactivity. Since As(V) is such a harmful ion we extend our As(V) adsorption studies to aluminum surfaces. As(V) has been experimentally shown to bind to aluminum surfaces in a bidentate binuclear configuration. By modeling a variety of configurations we can confirm and explain that the bidentate binuclear configuration is most stable due to the least amount of strain on the As(V) atom. Aluminum surfaces are common DFT models to study but are computationally expensive, due to this fact some people choose to model small Al octahedral cluster models instead. Comparing the reactivity of both systems we see a significant difference in energy magnitudes and ranges and can conclude that small Al octahedral cluster models cannot take place of aluminum surfaces. All in all, the work presented in this dissertation provides an important contribution in our understanding of Keggin based Al compounds. Keggin based compounds are very sparsely studied computationally and this work helps to fill a knowledge gap. Hopefully the insights obtained from this work can help guide future Keggin based studies.
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9

Ying, Jia. "Structural Change and Its Assessment by Fluorescence Spectroscopy in Functional Polymers." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/192187.

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10

Ji, Wei. "Spatial Partitioning and Functional Shape Matched Deformation Algorithm for Interactive Haptic Modeling." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1226364059.

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Книги з теми "Shape functional"

1

Srivastava, Anuj, and Eric P. Klassen. Functional and Shape Data Analysis. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2.

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2

Brazilian Symposium on Functional and Structural Materials (1st 2009 João Pessoa, Brazil). Functional and structural materials: Selected peer reviewed papers from the 1st Brazilian Symposium on Functional and Structural Materials (FUNCMAT 2009), UFPB, João Pessoa, Brazil, August 19-21, 2009. Stafa-Zurich, Switzerland: Trans Tech Publications, 2010.

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3

Paul, Sally, ed. Number, shape, and symmetry: An introduction to number theory, geometry, and group theory. Boca Raton: A K Peters, 2012.

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4

1918-, Kendall D. G., ed. Shape and shape theory. New York: Wiley, 1999.

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5

Weverbergh, Marcel. Normative validations of market share functions. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1991.

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6

Earl, Michael J. The changing shape and skills of the IS function. London: London Business School, 1995.

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7

Joskowicz, Leo. Reasoning about shape and kinematic function in mechanical devices. New York: Courant Institute of Mathematical Sciences, New York University, 1988.

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8

Earl, Millard, Schmidt James Ropiequet, and Southern Illinois University at Edwardsville., eds. Surface, function, shape: Selections from the Earl Millard collection. [Edwardsville]: Southern Illinois University at Edwardsville, 1985.

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9

George C. Marshall Space Flight Center, ed. An estimate of the size and shape of sunspot cycle 24 based on its early cycle behavior using the Hathaway-Wilson-Reichmann shape-fitting function. Huntsville], Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 2011.

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10

Jones, Charles I. The shape of production functions and the direction of technical change. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Частини книг з теми "Shape functional"

1

Hornbogen, E. "Shape Memory Alloys." In Advanced Structural and Functional Materials, 133–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-49261-7_5.

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2

Wolff, Julius. "Functional Shape of Bone." In The Law of Bone Remodelling, 75–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71031-5_4.

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Jay, C. B., and P. A. Steckler. "The functional imperative: Shape!" In Programming Languages and Systems, 139–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0053568.

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Azegami, Hideyuki. "Basics of Variational Principles and Functional Analysis." In Shape Optimization Problems, 159–222. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7618-8_4.

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Srivastava, Anuj, and Eric P. Klassen. "Previous Techniques in Shape Analysis." In Functional and Shape Data Analysis, 21–37. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_2.

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Srivastava, Anuj, and Eric P. Klassen. "Functional Data and Elastic Registration." In Functional and Shape Data Analysis, 73–123. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_4.

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Srivastava, Anuj, and Eric P. Klassen. "Statistical Modeling of Functional Data." In Functional and Shape Data Analysis, 269–303. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_8.

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Guo, Xiaoyang, and Anuj Srivastava. "Shape Analysis of Functional Data." In Handbook of Variational Methods for Nonlinear Geometric Data, 379–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31351-7_13.

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Larsen, Rasmus. "Functional 2D Procrustes Shape Analysis." In Image Analysis, 205–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_23.

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Srivastava, Anuj, and Eric P. Klassen. "Motivation for Function and Shape Analysis." In Functional and Shape Data Analysis, 1–19. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_1.

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Тези доповідей конференцій з теми "Shape functional"

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"Mechanical and Functional Properties of Ti48.6Ni49.6Co1.8 Shape Memory Alloy." In Shape Memory Alloys 2018. Materials Research Forum LLC, 2018. http://dx.doi.org/10.21741/9781644900017-4.

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Prieto, Juan Carlos, Priscille de Dumast, Clément Mirabel, Beatriz Paniagua, Lucia Cevidanes, Nina Tubau, Martin Styner, Antonio Carlos Ruellas, and Marilia Yatabe. "SVA: shape variation analyzer." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2018. http://dx.doi.org/10.1117/12.2295631.

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Chokkalingam, R., R. Senthur Pandi, K. Vallal Peruman, S. Seenithurai, S. Vinodh Kumar, R. Kodi Pandyan, A. Sivakami, et al. "Shape Memory Behavior of Ni-Mn-Ga Ferromagnetic Shape Memory Alloy." In INTERNATIONAL CONFERENCE ON PHYSICS OF EMERGING FUNCTIONAL MATERIALS (PEFM-2010). AIP, 2010. http://dx.doi.org/10.1063/1.3530489.

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"The Effect of the Size Factor on the Functional Properties of Shape Memory Alloy Ring-Shaped Force Elements." In Shape Memory Alloys 2018. Materials Research Forum LLC, 2018. http://dx.doi.org/10.21741/9781644900017-5.

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"Structure Formation, Mechanical and Functional Properties of Ti-Ni SMA, Deformed by Compression in a Wide Temperature Range." In Shape Memory Alloys 2018. Materials Research Forum LLC, 2018. http://dx.doi.org/10.21741/9781644900017-8.

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Patel, Ghanshyam R., and Tushar C. Pandya. "Effect of size and shape on Young modulus of semiconducting nanosolids." In FUNCTIONAL OXIDES AND NANOMATERIALS: Proceedings of the International Conference on Functional Oxides and Nanomaterials. Author(s), 2017. http://dx.doi.org/10.1063/1.4982108.

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Fang, Zhengyang, Mahmoud Mostapha, Juan Carlos Prieto, and Martin A. Styner. "Conformal initialization for shape analysis applications in SALT." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2019. http://dx.doi.org/10.1117/12.2503894.

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Kaki, Gowtham, and Suresh Jagannathan. "A relational framework for higher-order shape analysis." In ICFP'14: ACM SIGPLAN International Conference on Functional Programming. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2628136.2628159.

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Plotnikov, Pavel I., and Jan Sokolowski. "Shape sensitivity analysis for the work functional." In Robotics (MMAR). IEEE, 2011. http://dx.doi.org/10.1109/mmar.2011.6031320.

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Akleman, Ergun, Jianer Chen, and Vinod Sirinivasan. "An Interactive Shape Modeling System for Robust Design of Functional 3D Shapes." In ACADIA 2001: Reinventing the Discourse. ACADIA, 2001. http://dx.doi.org/10.52842/conf.acadia.2001.248.

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Звіти організацій з теми "Shape functional"

1

DeSimone, Joseph, Jude Samulski, Jeffrey Frelinger, and Sergio Sheiko. Replicating Viral Particles and other Shape-controlled, Functional Particles for Targeted Delivery Applications Using Nano-molding Techniques. Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada482673.

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Aiyar, Yamini, Vincy Davis, Gokulnath Govindan, and Taanya Kapoor. Rewriting the Grammar of the Education System: Delhi’s Education Reform (A Tale of Creative Resistance and Creative Disruption). Research on Improving Systems of Education (RISE), November 2021. http://dx.doi.org/10.35489/bsg-rise-misc_2021/01.

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The study was not designed to undertake an evaluation of the success or failure of reform. Nor was it specifically about the desirability or defects of the policy reform choices. It took these reform choices and the policy context as a given. It is important to note that the Delhi reforms had its share of criticisms (Kumar, 2016; Rampal, 2016). However, our goal was not to comment on whether these were the “right” reforms or have their appropriateness measured in terms of their technical capability. This study sought to understand the pathways through which policy formulations, designed and promoted by committed leaders (the sound and functional head of the flailing state), transmit their ideas and how these are understood, resisted, and adopted on the ground. In essence, this is a study that sought to illuminate the multifaceted challenges of introducing change and transition in low-capacity settings. Its focus was on documenting the process of implementing reforms and the dynamics of resistance, distortion, and acceptance of reform efforts on the ground. The provocative claim that this report makes is that the success and failure, and eventual institutionalisation, of reforms depend fundamentally on how the frontline of the system understands, interprets, and adapts to reform efforts. This, we shall argue, holds the key to upending the status quo of “pilot” burial grounds that characterise many education reform efforts in India. Reforms are never implemented in a vacuum. They inevitably intersect with the belief systems, cultures, values, and norms that shape the education ecosystem. The dynamics of this interaction, the frictions it creates, and reformers’ ability to negotiate these frictions are what ultimately shape outcomes. In the ultimate analysis, we argue that reforming deeply entrenched education systems (and, more broadly, public service delivery systems) is not merely a matter of political will and technical solutions (although both are critical). It is about identifying the points of reform friction in the ecosystem and experimenting with different ways of negotiating these. The narrative presented here does not have any clear answers for what needs to be done right. Instead, it seeks to make visible the intricacies and potential levers of change that tend to be ignored in the rush to “evaluate” reforms and declare success and failure. Moving beyond success to understand the dynamics of change and resistance is the primary contribution of this study.
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Naff, R. L., T. F. Russell, and J. D. Wilson. Shape Functions for Velocity Interpolation in General Hexahedral Cells. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada453117.

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Ori, Naomi, and Mark Estelle. Role of GOBLET and Auxin in Controlling Organ Development and Patterning. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7697122.bard.

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The size and shape of plant leaves are extremely diverse within and among species, and are also sensitive to growth conditions. Compound leaves, such as those of tomato, maintain morphogenetic activity during early stages of their development, enabling them to elaborate lateral appendages such as leaflets. The aim of the research project was to understand the interaction between the plant hormone auxin, the putative auxin response inhibitor ENTIRE (E, SlIAA9) and the NAM/CUC transcription factor GOBLET (GOB) in compound-leaf development in tomato (Solanum lycopersicum). The specific aims of the project were: 1. Investigation of the role of GOB in compound-leaf development. 2. Characterization of E function in auxin signaling. 3. Characterization of the role of auxin in compound-leaf development. 4. Investigation of the genetic and molecular interaction between E and GOB. 5. Investigate the role of these factors in fruit development. There were no major changes in these objectives. GOB was shown to mark and promote the boundaries between the leaf and initiating leaflets. Its accurate distribution was found to be required for proper leaflet initiation and separation. E was found to interact with the TIR1 and AFB6 proteins in an auxin-dependant manner, indicating that these are functional auxin receptors that mediate E degradation in the presence of auxin. This was further supported by the stabilization of E by a mutation in domain II of the protein, which is thought to mediate its auxin-dependant degradation. Over expression of this stabilized form in tomato leaves and characterization of the e mutant phenotype and the E expression domain indicated that E acts between initiating leaflets to inhibit auxin response and lamina growth. Generation and analysis of tomato plants expressing the auxin response reporter DR5::VENUS, and analysis of the effect of auxin microapplication or overexpression of an auxin biosynthesis gene, indicated that auxin marks the sites of leaflet initiation and promotes lamina growth. Investigation of the molecular and genetic interaction between auxin, GOB and E revealed a complex network of mutual regulation that is utilized to precisely pattern the leaf margin in a manner that enables the combination of tight control and flexibility. E, auxin and GOB were shown to affect fruit development and fruit set, and in an extension of the project are currently utilized to identify new players that affect these processes. The research project yielded enhanced understanding of the mechanisms of compound leaf patterning and provided tools that will enable the manipulation of leaf shape and fruit set.
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Birman, Victor. Functionally Graded Shape Memory Alloy Composites Optimized for Passive Vibration Control. Fort Belvoir, VA: Defense Technical Information Center, November 2006. http://dx.doi.org/10.21236/ada459593.

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Jones, Charles. The Shape of Production Function and the Direction of Technical Change. Cambridge, MA: National Bureau of Economic Research, May 2004. http://dx.doi.org/10.3386/w10457.

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Sherman, Amir, Rebecca Grumet, Ron Ophir, Nurit Katzir, and Yiqun Weng. Whole genome approach for genetic analysis in cucumber: Fruit size as a test case. United States Department of Agriculture, December 2013. http://dx.doi.org/10.32747/2013.7594399.bard.

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The Cucurbitaceae family includes a broad array of economically and nutritionally important crop species that are consumed as vegetables, staple starches and desserts. Fruit of these species, and types within species, exhibit extensive diversity as evidenced by variation in size, shape, color, flavor, and others. Fruit size and shape are critical quality determinants that delineate uses and market classes and are key traits under selection in breeding programs. However, the underlying genetic bases for variation in fruit size remain to be determined. A few species the Cucurbitaceae family were sequenced during the time of this project (cucumber was already sequenced when the project started watermelon and melon sequence became available during the project) but functional genomic tools are still missing. This research program had three major goals: 1. Develop whole genome cucumber and melon SNP arrays. 2. Develop and characterize cucumber populations segregating for fruit size. 3. Combine genomic tools, segregating populations, and phenotypic characterization to identify loci associated with fruit size. As suggested by the reviewers the work concentrated mostly in cucumber and not both in cucumber and melon. In order to develop a SNP (single nucleotide polymorphism) array for cucumber, available and newly generated sequence from two cucumber cultivars with extreme differences in shape and size, pickling GY14 and Chinese long 9930, were analyzed for variation (SNPs). A large set of high quality SNPs was discovered between the two parents of the RILs population (GY14 and 9930) and used to design a custom SNP array with 35000 SNPs using Agilent technology. The array was validated using 9930, Gy14 and F1 progeny of the two parents. Several mapping populations were developed for linkage mapping of quantitative trait loci (QTL) for fruit size These includes 145 F3 families and 150 recombinant inbred line (RILs F7 or F8 (Gy14 X 9930) and third population contained 450 F2 plants from a cross between Gy14 and a wild plant from India. The main population that was used in this study is the RILs population of Gy14 X 9930. Phenotypic and morphological analyses of 9930, Gy14, and their segregating F2 and RIL progeny indicated that several, likely independent, factors influence cucumber fruit size and shape, including factors that act both pre-anthesis and post-pollination. These include: amount, rate, duration, and plane of cell division pre- and post-anthesis and orientation of cell expansion. Analysis of F2 and RIL progeny indicated that factors influencing fruit length were largely determined pre-anthesis, while fruit diameter was more strongly influenced by environment and growth factors post-anthesis. These results suggest involvement of multiple genetically segregating factors expected to map independently onto the cucumber genome. Using the SNP array and the phenotypic data two major QTLs for fruit size of cucumber were mapped in very high accuracy (around 300 Kb) with large set of markers that should facilitate identification and cloning of major genes that contribute to fruit size in cucumber. In addition, a highly accurate haplotype map of all RILS was created to allow fine mapping of other traits segregating in this population. A detailed cucumber genetic map with 6000 markers was also established (currently the most detailed genetic map of cucumber). The integration of genetics physiology and genomic approaches in this project yielded new major infrastructure tools that can be used for understanding fruit size and many other traits of importance in cucumber. The SNP array and genetic population with an ultra-fine map can be used for future breeding efforts, high resolution mapping and cloning of traits of interest that segregate in this population. The genetic map that was developed can be used for other breeding efforts in other populations. The study of fruit development that was done during this project will be important in dissecting function of genes that that contribute to the fruit size QTLs. The SNP array can be used as tool for mapping different traits in cucumber. The development of the tools and knowledge will thus promote genetic improvement of cucumber and related cucurbits.
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Babuska, I., M. Griebel, and J. Pitkaranta. The Problem of Selecting the Shape Functions for a p-Type Finite Element. Fort Belvoir, VA: Defense Technical Information Center, November 1988. http://dx.doi.org/10.21236/ada207798.

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Blundell, Richard, Joel L. Horowitz, and Matthias Parey. Estimation of a nonseparable heterogenous demand function with shape restrictions and Berkson errors. The IFS, November 2018. http://dx.doi.org/10.1920/wp.cem.2018.6718.

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Eshed, Yuval, and Sarah Hake. Shaping plant architecture by age dependent programs: implications for food, feed and biofuel. United States Department of Agriculture, December 2012. http://dx.doi.org/10.32747/2012.7597922.bard.

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Age dependent programs are responsible for the physiological and developmental differences of young and mature plants. These include a range of morphological characters such as leaf shape and leaf composition (waxes, lignin etc..) but also different in developmental potentials. Apical buds of juvenile plants are vegetative, while those of mature plants can be reproductive. Likewise, basal buds form in the axills of juvenile leaves have different fates than distal buds formed in the axils of mature leaves. The goal of our joint project is to understand and exploit theses age related programs for specific improvement of crop plants. To that end both the WIS group and the PGEC group are using mutants with age related defects as well as modified expression of miR156 to modify age related programs in crop plants- Tomato and potato in Israel and Maize, switchgrass and Brchipodium in the US. In the US, major effort were made to: Characterize the contribution of selected miR156 target genes to yield component traits of maize. Functional analysis of microRNAs and their targets in new crop plants. In Israel, the research progressed in several directions: Understanding the interplay between age dependent programs and the potential of tomato and potato meristems to produce tubers. Evaluation of the agronomic value of mutants that alter flowering regime in side shoots in general, and in the sympodial buds in particular Characterization of wild type axillary buds, comparing shoot ontogeny of gradually maturing apices from basal and distal positions along the main shoot of tomato.
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