Search results for "47"

showing 10 items of 1382 documents

CCDC 1541408: Experimental Crystal Structure Determination

2017

Related Article: Gaël De Leener, Diana Over, Coryse Smet, Damien Cornut, Ana Gabriela Porras-Gutierrez, Isidoro López, Bénédicte Douziech, Nicolas Le Poul, Filip Topić, Kari Rissanen, Yves Le Mest, Ivan Jabin, and Olivia Reinaud|2017|Inorg.Chem.|56|10971|doi:10.1021/acs.inorgchem.7b01225

Space GroupCrystallography[3915414765-hexa-t-butyl-616970-trimethoxy-193752-trioxa-22252831345558-heptaazanonacyclo[26.22.10.71739.1711.14549.16367.0551.01318.03843]heptaconta-1(51)247(69)81013151738404245(61)464863(70)6466-octadecaene-233356-trione]-zinc(ii) bis(trifluoromethanesulfonate) diethyl ether unknown solvate monohydrateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1417790: Experimental Crystal Structure Determination

2015

Related Article: Guobao Huang, Zhenfeng He, Chen-Xi Cai, Fangfang Pan, Dingqiao Yang, Kari Rissanen, Wei Jiang|2015|Chem.Commun.|51|15490|doi:10.1039/C5CC06768E

Space GroupCrystallographyanti-10183846-Tetra-n-butoxy-30545860-tetraoxa-13154143-tetra-azatridecacyclo[47.7.1.1355.12529.12731.027.0611.01722.02126.03439.03559.04550.05357]hexaconta-246810171921232531(59)323436384547495153(57)-icosaene-1442-dione acetonitrile chloroform 14-dioxane solvateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1555957: Experimental Crystal Structure Determination

2017

Related Article: Disha Mungalpara, Arto Valkonen, Kari Rissanen, Stefan Kubik|2017|Chemical Science|8|6005|doi:10.1039/C7SC02700A

Space GroupCrystallographybis(tetra-n-butylammonium) dihydrogen diphosphate 6183042-tetramethyl-345815161720272829323940414449515355-icosa-azanonacyclo[43.3.1.125.1913.11417.12125.12629.13337.13841]hexapentaconta-1(49)2(56)39(55)101214(54)1521(53)222426(52)2733(51)343638(50)394547-icosaene-7193143-tetrone dimethyl sulfoxide unknown solvate hydrateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1553488: Experimental Crystal Structure Determination

2018

Related Article: Djamille Azazna, Marine Lafosse, Julie Rivollier, Jialan Wang, Imen Ben Cheikh, Michel Meyer, Pierre Thury, Jean-Pierre Dognon, Gaspard Huber, Marie-Pierre Heck|2018|Chem.-Eur.J.|24|10793|doi:10.1002/chem.201801468

Space GroupCrystallographytetra-n-butylammonium 5713152123293137394547-dodecakis(prop-2-en-1-yl)-1357911131517192123252729313335373941434547-tetracosaazatridecacyclo[41.5.1.139.11117.11925.12733.13541.048.01216.02024.02832.03640.04448]tetrapentacontane-61422303846495051525354-dodecone chloride unknown solvateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Composition operators on the Schwartz space

2018

[EN] We study composition operators on the Schwartz space of rapidly decreasing functions. We prove that such a composition operator is never a compact operator and we obtain necessary or sufficient conditions for the range of the composition operator to be closed. These conditions are expressed in terms of multipliers for the Schwartz class and the closed range property of the corresponding operator considered in the space of smooth functions.

Space of rapidly decreasing functionsPure mathematicsClass (set theory)Composition operatorGeneral MathematicsComposite function problem010102 general mathematicsComposition (combinatorics)Space (mathematics)Compact operator01 natural sciencesFunctional Analysis (math.FA)Mathematics - Functional Analysis010101 applied mathematicsRange (mathematics)47B33 46F05 47A05Operator (computer programming)Schwartz spaceFOS: MathematicsComposition operator0101 mathematicsMATEMATICA APLICADAMathematicsRevista Matemática Iberoamericana
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The Tan 2Θ Theorem in fluid dynamics

2017

We show that the generalized Reynolds number (in fluid dynamics) introduced by Ladyzhenskaya is closely related to the rotation of the positive spectral subspace of the Stokes block-operator in the underlying Hilbert space. We also explicitly evaluate the bottom of the negative spectrum of the Stokes operator and prove a sharp inequality relating the distance from the bottom of its spectrum to the origin and the length of the first positive gap.

Spectral subspacePhysics35Q35 47A67 (Primary) 35Q30 47A12 (Secondary)Spectrum (functional analysis)Mathematical analysisHilbert spaceReynolds numberStatistical and Nonlinear PhysicsMathematics - Spectral TheoryMathematics - Functional AnalysisPhysics::Fluid Dynamicssymbols.namesakeFluid dynamicssymbolsGeometry and TopologyStokes operatorNavier–Stokes equation ; Stokes operator ; Reynolds number ; rotation of subspaces ; quadratic forms ; quadratic numerical rangeRotation (mathematics)Mathematical Physics
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Relationship between speech perception and production skills and morphosyntactic development in Spanish-speaking children with Speech Sound Disorders

2021

La investigación sobre el desarrollo gramatical y su posible relación con los déficits de procesamiento de habla en niños con Trastorno Fonológico (TF) es escasa, especialmente para la lengua española. El objetivo es analizar la influencia de las habilidades de percepción y producción de habla en el desarrollo morfosintáctico de los niños con TF sin Trastorno del Lenguaje (TL). Participaron 52 niños de habla española de 4 a 6 años: 26 con TF y 26 con desarrollo típico (DT) emparejados en edad cronológica, cociente de inteligencia no verbal y nivel de vocabulario receptivo. El desarrollo morfosintáctico se evaluó con el test de lenguaje CELF-Preschool-2-Spanish. Los niños realizaron una tare…

Speech productionPhonological disordersintaxisLanguage and Linguisticstrastorno fonológicoMorfologíamedia_commonSpeech productionpercepción de hablaIntelligence quotientLanguage and LiteratureSpeech perception05 social sciencesPSpeech sound disorderTrastorno de hablaSpeech sound disordermedicine.symptom0305 other medical sciencePsychologyPercepción de habla050104 developmental & child psychologyCognitive psychologySintaxisMorphologySpeech perceptionmedia_common.quotation_subjectP1-1091030507 speech-language pathology & audiology03 medical and health sciencesSpeech and HearingNonverbal communicationtrastorno de hablaPerceptionmorfologíamedicine0501 psychology and cognitive sciencesSyntaxProducción de hablaPhilology. Linguisticsproducción de hablaSpeech processingmedicine.diseaseOtorhinolaryngologyRF1-547PsicologiaTrastorno fonológicoTrastorns de la parlaSpeech disorderRevista de Investigación en Logopedia
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Strengthened splitting methods for computing resolvents

2021

In this work, we develop a systematic framework for computing the resolvent of the sum of two or more monotone operators which only activates each operator in the sum individually. The key tool in the development of this framework is the notion of the “strengthening” of a set-valued operator, which can be viewed as a type of regularisation that preserves computational tractability. After deriving a number of iterative schemes through this framework, we demonstrate their application to best approximation problems, image denoising and elliptic PDEs. FJAA and RC were partially supported by the Ministry of Science, Innovation and Universities of Spain and the European Regional Development Fund …

Splitting algorithmControl and Optimization0211 other engineering and technologies47H05 90C30 65K05Elliptic pdesMonotonic function02 engineering and technology01 natural sciencesMonotone operatorOperator (computer programming)Development (topology)Estadística e Investigación OperativaFOS: Mathematics0101 mathematicsImage denoisingResolventMathematics - Optimization and ControlMathematicsResolvent021103 operations researchApplied Mathematics010102 general mathematicsAlgebraComputational MathematicsMonotone polygonOptimization and Control (math.OC)StrengtheningKey (cryptography)Computational Optimization and Applications
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On Independent Component Analysis with Stochastic Volatility Models

2017

Consider a multivariate time series where each component series is assumed to be a linear mixture of latent mutually independent stationary time series. Classical independent component analysis (ICA) tools, such as fastICA, are often used to extract latent series, but they don't utilize any information on temporal dependence. Also financial time series often have periods of low and high volatility. In such settings second order source separation methods, such as SOBI, fail. We review here some classical methods used for time series with stochastic volatility, and suggest modifications of them by proposing a family of vSOBI estimators. These estimators use different nonlinearity functions to…

Statistics and ProbabilityAutoregressive conditional heteroskedasticity01 natural sciencesQA273-280GARCH model010104 statistics & probabilityblind source separation0502 economics and businessSource separationEconometricsApplied mathematics0101 mathematics050205 econometrics MathematicsStochastic volatilitymultivariate time seriesApplied MathematicsStatistics05 social sciencesAutocorrelationEstimatorIndependent component analysisHA1-4737nonlinear autocorrelationFastICAStatistics Probability and UncertaintyVolatility (finance)Probabilities. Mathematical statistics
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Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp

2017

Blind source separation (BSS) is a well-known signal processing tool which is used to solve practical data analysis problems in various fields of science. In BSS, we assume that the observed data consists of linear mixtures of latent variables. The mixing system and the distributions of the latent variables are unknown. The aim is to find an estimate of an unmixing matrix which then transforms the observed data back to latent sources. In this paper we present the R packages JADE and BSSasymp. The package JADE offers several BSS methods which are based on joint diagonalization. Package BSSasymp contains functions for computing the asymptotic covariance matrices as well as their data-based es…

Statistics and ProbabilityComputer scienceJADE (programming language)02 engineering and technologyLatent variableMachine learningcomputer.software_genre01 natural sciencesBlind signal separation010104 statistics & probabilityMatrix (mathematics)nonstationary source separationMixing (mathematics)0202 electrical engineering electronic engineering information engineeringsecond order source separation0101 mathematicslcsh:Statisticslcsh:HA1-4737computer.programming_languageta113Signal processingta112matematiikkamultivariate time seriesmathematicsbusiness.industryEstimator020206 networking & telecommunicationsriippumattomien komponenttien analyysiindependent component analysis; multivariate time series; nonstationary source separation; performance indices; second order source separationIndependent component analysisperformance indicesstatisticsindependent component analysisArtificial intelligenceStatistics Probability and UncertaintybusinesscomputerAlgorithmSoftwareJournal of Statistical Software
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