Search results for " CLUSTER"

showing 10 items of 2162 documents

Large Magnetic Polyoxometalates Containing the Cobalt Cubane ‘[CoIIICo3II(OH)3(H2O)6–m(PW9O34)]3− (m = 3 or 5) as a Subunit

2018

A synthetic procedure is presented to construct new magnetic polyoxometalates (POMs) containing one or two subunits of ‘[CoIIICo3II(OH)3(H2O)6−m(PW9O34)]3−' (m = 3 or 5). The substitution of the water ligands present in these subunits by oxo or hydroxo ligands belonging to other POM fragments, gives rise to four, larger POM anions: [Co7(OH)6(H2O)6(PW9O34)2]9− (2), [Co7(OH)6(H2O)4(PW9O34)2]n9n- (2′), [Co11(OH)5(H2O)5(W6O24)(PW9O34)3]22− (3) and [{Co4(OH)3(H2O)(PW9O34)}2{K⊂(H2W12O41)2}{Co(H2O)4}2]17− (4). The crystal structures, magnetic characterization and stabilities in aqueous solutions of these POM derivatives are also presented.

crystal structureAqueous solution010405 organic chemistryMagnetismProtein subunitchemistry.chemical_elementCrystal structureGeneral Chemistry010402 general chemistrycobalt01 natural sciences0104 chemical scienceslcsh:Chemistrychemistry.chemical_compoundCrystallographylcsh:QD1-999chemistryCubanemagnetismpolyoxometalatePolyoxometalatecubane clusterCobaltFrontiers in Chemistry
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Crystal structure of a mixed-valence μ-oxide Sn12 cluster

2014

The mixed-valence μ-oxide Sn12cluster, decacarbonyltetra-μ4-oxido-hexa-μ3-oxido-tetrakis[μ-2,2′-(pyridine-2,6-diyl)bis(1,1-diphenylethanolato)]decatin(II)ditin(IV)dimolybdenum(O)(2Mo—Sn) toluene heptasolvate, [Mo2Sn12(C33H27NO2)4O10(CO)10]·7C7H8, has a crystallographically imposed inversion centre. The asymmetric unit also contains three and a half toluene solvent molecules, one of which is disordered about a centre of symmetry. The complex molecule comprises six distinct Sn atom species with four different coordination numbers, namely 3, 4, 5, and 6. The SnIIatoms forming the central Sn10O10core adopt distorted trigonal–pyramidal, square-pyramidal and octahedral coordination geometries pro…

crystal structureValence (chemistry)CrystallographyHydrogen bondLigandCoordination numberOxidecarbonylschemistry.chemical_elementGeneral ChemistryCrystal structureCondensed Matter PhysicsBioinformaticsS12 clusterData Reportschemistry.chemical_compoundCrystallographychemistrystannylenesQD901-999AtomGeneral Materials ScienceTinActa Crystallographica Section E
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A new approach for clustering of effects in quantile regression

2017

In this paper we aim at nding similarities among the coefficients from a multivariate regression. Using a quantile regression coefficients modeling, the effect of each covariate, given a response (also multivariate) is a curve in the multidimensional space of the percentiles. Collecting all the curves, describing the effects of each covariate on each response variable, we could be able to assess if only one or more covariates have same effects on different responses.

curves clustering; quantile regression coefficients modeling; multivariate analysis; functional datacurves clusteringmultivariate analysiSettore SECS-S/01 - Statisticaquantile regression coefficients modelingfunctional data
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Performance of $b$-Jet Identification in the ATLAS Experiment

2016

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT an…

detector-systems performancePerformance of High Energy Physics Detectorsecondary [vertex]Elementary particle01 natural sciencesPARTONlaw.inventionSubatomär fysikCHANNELcluster findingscattering [p p]impact parameterGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)протон-протонные столкновенияQBLarge detector-systems performanceHigh energy physics detectorLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physicstrack data analysisQUARK PAIR PRODUCTIONbottom [jet]CERN LHC CollPattern recognition cluster finding calibration and fitting method7000 GeV-cmscolliding beams [p p]performanceHADRONIC COLLISIONSCiências Naturais::Ciências FísicasLarge detectorFitting methodHigh energy physicATLAS LHC High Energy Physics510 MathematicsmuonDISTRIBUTIONSUncertainty analysis Astroparticle physicHigh Energy Physics010306 general physicsSystematic uncertainties AlgorithmsAstroparticle physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsParticle acceleratorRangingPerformance of High Energy PhysicsCOLLIDERScorrelationExperimental High Energy PhysicsPerformance of High Energy Physics DetectorshadronATLAS детекторБольшой адронный коллайдерcharm [jet]Elementary particleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationUncertainty analysisMathematical PhysicsPhysicsPattern recognition cluster finding calibration and fitting methods4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleDetectorsflavor [jet]calibration and fitting methodsATLASLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large; detector-systems performance; Pattern recognition cluster finding; calibration and fitting methods; Performance of High Energy Physics; Detectors; PRODUCTION CROSS-SECTION; QUARK PAIR PRODUCTION; ROOT-S=7 TEV; PARTON; DISTRIBUTIONS; HADRONIC COLLISIONS; MATRIX-ELEMENTS; LHC; COLLIDERS; DETECTOR; CHANNEL8. Economic growthCalibrationparticle identification [bottom]LHCImpact parameterParticle Physics - ExperimentParticle physicsdata analysis method530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciences530MATRIX-ELEMENTSparticle identification [charm]on-line [trigger]Pattern recognition0103 physical sciencesComplementary methodddc:610DETECTORROOT-S=7 TEVCluster findingFísicaLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics DetectorsPattern recognition systemcalibrationtracksPRODUCTION CROSS-SECTIONefficiencyHadronLarge detector systems for particle and astroparticle physicLargeHigh Energy Physics::ExperimentStatistical correlationstatisticalexperimental results
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Análisis de la bondad de múltiples indicadores para el diagnóstico de la adicción al cibersexo

2021

El uso de Internet con propósitos sexuales (p.e., visionado de pornografía o contacto sexual mediante chat o cámara web) resulta una práctica cada vez más generalizada. Si bien en la mayoría de los casos se realiza de forma recreativa, en algunas ocasiones puede sobrevenir compulsivo, incontrolado y asociado a deterioro funcional en varios ámbitos (adicción al cibersexo). Las escalas de las que disponemos para su diagnóstico se han visto limitadas a la hora de identificar estos pacientes debido a que algunos indicadores diagnósticos han perdido especificidad: por ejemplo, el tiempo online con fines sexuales parece no discriminar usuarios problemáticos debido al uso cada vez más intensivo de…

diagnosismedia_common.quotation_subjectDisease clusteronline sexual activitiesmedicinePsychologyPornographyRecreationmedia_commonConsumption (economics)cybersexbusiness.industryAddictionadicción al cibersexoBF1-990diagnósticocybersex addictionScale (social sciences)cibersexoactividad sexual onlineThe InternetHypersexualitymedicine.symptombusinessPsychologyClinical psychologyRevista INFAD de Psicología. International Journal of Developmental and Educational Psychology.
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A study of VUV emission and the extracted electron-ion ratio in hydrogen and deuterium plasmas of a filament-driven H−/D− ion source

2019

Vacuum ultraviolet (VUV) emission diagnostics for studying differences of electron impact processes in hydrogen and deuterium plasmas are presented. The method is applied to study a filament driven multicusp arc discharge negative ion source by comparing the VUV-emission intensities of different emission bands and extracted currents of H−/D− ions and electrons. It was found that the ratio of coextracted electrons to extracted ions is four times higher for deuterium than for hydrogen. No significant differences of the VUV-spectra or volumetric rates of ionization, excitation, production of high vibrational states, and dissociation were found between the plasmas of the two isotopes. The volum…

diffusion rateisotoopitplasma diagnosticselectron impact ionizationplasmafysiikkavacuum ultraviolet radiationelectron impact emission spectroscopyion sourcesPhysics::Plasma Physicselectric dischargesPhysics::Atomic and Molecular Clustersisotopesvibrational statesplasma spectroscopy
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Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R

2019

We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.

dimension reduction; clustering; principal component analysis; multiple correspondence analysis; K-meansStatistics and Probabilitydimension reduction clustering principal component analysis multiple correspon-dence analysis K-meansFactorialmultiple correspon-dence analysisMultiple correspondence analysiComputer sciencedimension reductionprincipal component analysisk-meansmultiple correspondence analysisPrincipal component analysicomputer.software_genre01 natural sciencesCorrespondence analysis010104 statistics & probabilityMultiple correspondence analysis0101 mathematicsCluster analysisCategorical variablelcsh:Statisticslcsh:HA1-4737Dimensionality reductionk-means clusteringK-meanPrincipal component analysisData miningHA29-32Statistics Probability and UncertaintycomputerSoftwareclusteringJournal of Statistical Software
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Effective Hamiltonians in Nonrelativistic Quantum Electrodynamics

2021

In this paper, we consider some second-order effective Hamiltonians describing the interaction of the quantum electromagnetic field with atoms or molecules in the nonrelativistic limit. Our procedure is valid only for off-energy-shell processes, specifically virtual processes such as those relevant for ground-state energy shifts and dispersion van der Waals and Casimir-Polder interactions, while on-energy-shell processes are excluded. These effective Hamiltonians allow for a considerable simplification of the calculation of radiative energy shifts, dispersion, and Casimir-Polder interactions, including in the presence of boundary conditions. They can also provide clear physical insights int…

dispersion interactionsQuantum PhysicsPhysics and Astronomy (miscellaneous)dispersion interactioneffective HamiltonianGeneral MathematicsFOS: Physical sciencesquantum electrodynamicChemistry (miscellaneous)Computer Science (miscellaneous)quantum electrodynamicsQA1-939Physics::Atomic and Molecular Clusterseffective Hamiltonian; quantum electrodynamics; dispersion interactions; Casimir-Polder interactionsPhysics::Atomic PhysicsQuantum Physics (quant-ph)MathematicsCasimir-Polder interactions
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The Diversification of Sicilian Farms: A Way to Sustainable Rural Development

2021

Rural areas still suffer from a lack of sustainable development, and the diversification of farms may be a step in the right direction. The paper provides a detailed picture of the diversification of Sicilian farms into tourism services. Specifically, we propose a simple indicator of localization intensity of agritourism farms and explore their spatial distribution at municipality level. Our study highlights that Sicilian farms rarely diversify into tourism services, despite being situated in attractive areas. That said, some significant spatial clusters of municipalities where agritourism farms are highly concentrated do emerge from the study.

diversificationGeography Planning and Development0211 other engineering and technologiesTJ807-83002 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawDiversification (marketing strategy)TD194-195agritourism farms01 natural sciencesRenewable energy sourcesSicilian rural areasSituatedGE1-350Economic geography0105 earth and related environmental sciencesSustainable developmentagritourism farmEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentspatial clusters021107 urban & regional planningsustainabilitylanguage.human_languageSicilian rural areaEnvironmental sciencesGeographySustainabilitySpatial clusteringlanguageRural areaSicilianTourismSustainability
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Transient stability simulation of a fixed speed wind turbine by Matlab/Simulink

2007

This paper describes the dynamic behavior of a typical fixed speed wind turbine connected to the grid; the model is developed in the simulation tool Matlab/Simulink and created as a modular structure. The pitch control system is used for stabilization of the wind turbine at grid faults. In this way, voltage stability of the system with grid-connected wind turbines can be improved by using blade-angle control for a temporary reduction of the wind turbine power during a short-circuit fault in the grid. This paper shows a new variable control for maintaining of voltage stability, when a three-phase fault is applied close to the wind turbine and cleared by disconnecting the affected line. In th…

dynamic model pitch control system voltage stability investigation wind turbine.EngineeringWind powerbusiness.industryComputerApplications_COMPUTERSINOTHERSYSTEMSAerodynamicsFault (power engineering)TurbineWind speedSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaPower system simulationPitch controlControl theoryTransient (oscillation)businessComputer Science::Distributed Parallel and Cluster Computing2007 International Conference on Clean Electrical Power
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