Search results for "Metals"

showing 10 items of 2013 documents

Structural insights into M2O-Al2O3-WO3 (M = Na, K) system by electron diffraction tomography.

2015

TheM2O–Al2O3–WO3(M= alkaline metals) system has attracted the attention of the scientific community because some of its members showed potential applications as single crystalline media for tunable solid-state lasers. These materials behave as promising laser host materials due to their high and continuous transparency in the wide range of the near-IR region. A systematic investigation of these phases is nonetheless hampered because it is impossible to produce large crystals and only in a few cases a pure synthetic product can be achieved. Despite substantial advances in X-ray powder diffraction methods, structure investigation on nanoscale is still challenging, especially when the sample i…

electron crystallography; electron difffraction tomography; laser media; structure determination; tungstateElectron crystallographyChemistryMetals and AlloysAb initioAnalytical chemistryelectron difffraction tomographylaser mediaAtomic and Molecular Physics and OpticsNanocrystalline materialstructure determinationElectronic Optical and Magnetic MaterialsDiffraction tomographyelectron crystallographyElectron diffractionChemical physicstungstateMaterials ChemistryPrecession electron diffractionCrystallitePowder diffractionActa crystallographica Section B, Structural science, crystal engineering and materials
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Deep traps in InGaN/GaN single quantum well structures grown with and without InGaN underlayers

2020

The electrical properties and deep trap spectra were compared for near-UV GaN/InGaN quantum well (QW) structures grown on free-standing GaN substrates. The structures differed by the presence or absence of a thin (110 nm) InGaN layer inserted between the high temperature GaN buffer and the QW region. Capacitance-voltage profiling with monochromatic illumination showed that in the InGaN underlayer (UL), the density of deep traps with optical threshold near 1.5 eV was much higher than in the QW and higher than for structures without InGaN. Irradiation with 5 MeV electrons strongly increased the concentration of these 1.5 eV traps in the QWs, with the increase more pronounced for samples witho…

electronMaterials scienceDeep-level transient spectroscopy02 engineering and technologyElectronTrapping010402 general chemistrySettore ING-INF/01 - Elettronica01 natural sciencesSettore FIS/03 - Fisica Della MateriaSpectral linelaw.inventionInGaN underlayerRadiation tolerancelawMaterials ChemistryIrradiationInGaN/GaN single quantum well structuresdefectsQuantum wellbusiness.industryMechanical Engineeringlight-emitting-diodesMetals and Alloys021001 nanoscience & nanotechnologyn/a OA procedure0104 chemical sciencesefficiencyMechanics of MaterialsOptoelectronics0210 nano-technologybusinessDeep traps in nitride semiconductorperformanceLight-emitting diodeJournal of Alloys and Compounds
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Embedded-atom calculations of Auger and x-ray photoemission shifts for metallic elements

1982

Change in self-consistent-field energy density-functional calculations are reported for Auger and core-level binding-energy shifts in sp-bonded metals. The basic model, atom in jellium vacancy, gives good agreement with experiment, especially in the Auger case. The chemical and relaxation contributions to the shifts are discussed, and the extra-atomic response is analyzed in detail, both in position and energy space. The adequacy of the "excited-atom" approach to the energy shifts is discussed. Peer reviewed

embedded-atom calculationsX ray photoemissionMaterials sciencePhysicsInverse photoemission spectroscopyAngle-resolved photoemission spectroscopyAugerMetalvisual_artAtomPhysics::Atomic and Molecular Clustersvisual_art.visual_art_mediumPhysics::Atomic PhysicsAtomic physicssp-bonded metalsPhysical Review B
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Electrocatalysis of neurotransmitter catecholamines by 2,4,6-triphenylpyrylium ion immobilized inside zeolite Y supercages

1999

2,4,6-Triphenylpyrylium ions entrapped inside the supercages of Y zeolite exert a remarkable catalytic effect toward the electrochemical oxidation of dopamine and norepinephrine (neurotrasmitter catecholamines) in neutral aqueous media. Domenech Carbo, Antonio, Antonio.Domenech@uv.es

endocrine system diseasesUNESCO::QUÍMICAInorganic chemistryElectrocatalysis ; Trphenylpyrydium ; Y zeolite ; Neurotransmitter ; Catalytic effectNanotechnologyElectrochemistryElectrocatalyst:QUÍMICA [UNESCO]CatalysisCatalytic effectIonNorepinephrine (medication)chemistry.chemical_compoundDopamineCatalytic effectMaterials ChemistrymedicineTrphenylpyrydiumNeurotransmitterNeurotransmitterZeoliteUNESCO::QUÍMICA::Química analíticaY zeoliteMetals and AlloysGeneral ChemistrySurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialschemistryCeramics and Composites:QUÍMICA::Química analítica [UNESCO]Electrocatalysismedicine.drug
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Magnetic transition metal complexes of tetrathiafulvalene (TTF) derivatives

1997

We have prepared and characterized the transition metal complexes of two different TTF derivatives. We have oxidized the different complexes with electrooxidation and chemical oxidation techniques and the results are discussed. The magnetic properties of the complexes have been studied. TTF-carboxylate chelates are not stable enough, but thioether-TTF shows promising charge transfer salts.

endocrine systemMagnetic measurementsTtf derivativesChemistryMechanical EngineeringInorganic chemistryMetals and AlloysCharge (physics)respiratory systemCondensed Matter PhysicsMagnetic susceptibilityElectronic Optical and Magnetic Materialslaw.inventionchemistry.chemical_compoundTransition metalMechanics of MaterialslawMaterials ChemistryPhysical chemistryChelationElectron paramagnetic resonanceTetrathiafulvalene
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Increased LH and FSH release from the anterior pituitary of ovariectomized rat, in vivo, by copper-, nickel-, and zinc-LHRH complexes.

1992

Abstract The effect of Cu 2+ , Ni 2+ , Zn 2+ and their complexes with LHRH on the release of luteinizing hormone (LH) and follicle stimulating hormone (FSH) was estimated in in vivo experiments with the use of the method proposed by Ramirez and McCann. Ovariectomized, estradiol, and progesterone pretreated rats were injected intraveneously either with LHRH alone, a metal ion alone, a mixture of metal and hormone, or a metal-LHRH complex. A metal alone or a mixture of it with LHRH did not affect gonadotropin release at all or no more than LHRH alone. However, the complex of Cu 2+ with LHRH brought about a high release of LH and even higher release of FSH. This indicates that copper complex i…

endocrine systemmedicine.medical_specialtymedicine.drug_classOvariectomyPeptide hormoneBiochemistryInorganic ChemistryGonadotropin-Releasing HormoneFollicle-stimulating hormoneAnterior pituitaryIn vivoNickelPituitary Gland AnteriorInternal medicinemedicineAnimalsProgesteroneEstradiolChemistryRats Inbred StrainsLuteinizing HormoneRatsZincmedicine.anatomical_structureEndocrinologyMetalsOvariectomized ratFemaleGonadotropinFollicle Stimulating HormoneLuteinizing hormonehormones hormone substitutes and hormone antagonistsCopperHormoneJournal of inorganic biochemistry
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APROXIMACIÓN CONCEPTUAL Y PRÁCTICA A LOS MODELOS DE ECUACIONES ESTRUCTURALES

2017

En el presente trabajo se expone una aproximación conceptual y práctica a los Modelos de Ecuaciones Estructurales o Structural Equation Modeling (SEM). Los SEM están considerados entre las herramientas más potentes para el estudio de relaciones causales en datos no experimentales. Son una combinación del análisis factorial y la regresión múltiple y están compuestos por dos componentes: el modelo de medida y el modelo estructural. El modelo de medida describe la relación existente entre una serie de variables observables; mientras que en el modelo estructural se especifican las relaciones hipotetizadas entre las variables, es decir, se describen las relaciones entre las variables latentes me…

factor analysisLatent variableregressão múltiplaanálise fatorialStructural equation modelingEducation03 medical and health sciences0302 clinical medicineModelos de equações estruturaisLinear regressionEconometricsregresión múltiple030212 general & internal medicinemultiple regressionLC8-6691Series (mathematics)Mechanical EngineeringMetals and AlloysSem analysisAMOSLSpecial aspects of educationModelos de Ecuaciones EstructuralesStructural Equation ModelingMechanics of Materialsanálisis factorialPsychology030217 neurology & neurosurgeryRevista Digital de Investigación en Docencia Universitaria
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The Assessment of Heavy Metal Contamination of the Cultivated Soils in the Odra River Floodplain

2021

Abstract The aim of the study was to assess the contamination of selected heavy metals in cultivated soils of the Odra river floodplain. The heavy metals Mn, Fe, Cu, Zn, Ni, Cd and Pb were determined in soil samples collected in the autumn of 2020 - after the vegetation period of plants from designated measurement points. Concentrations of the analytes were measured using an atomic absorption spectrometer (F-ASA). A comparison was made between concentrations of heavy metals in soil samples collected from areas flooded in 1997 and from areas flooded as a result of rainfall, snowmelt and winter floods. The results of the studies were compared with the data for soils taken from non-flooded are…

floodplainEnvironmental EngineeringEcologyEnvironmental Chemistryheavy metalsatomic absorption spectrometrysoilOdra riverEducationChemistry-Didactics-Ecology-Metrology
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Use of electronic nose to determine defect percentage in oils. Comparison with sensory panel results

2010

Abstract An electronic nose based on an array of 6 metal oxide semiconductor sensors was used, jointly with linear discriminant analysis (LDA) and artificial neural network (ANN) method, to classify oils containing the five typical virgin olive oil (VOO) sensory defects (fusty, mouldy, muddy, rancid and winey). For this purpose, these defects, available as single standards of the International Olive Council, were added to refined sunflower oil. According to the LDA models and the ANN method, the defected samples were correctly classified. On the other hand, the electronic nose data was used to predict the defect percentage added to sunflower oil using multiple linear regression models. All …

food.ingredientOLIVE OILfoodOxide semiconductorSensory defectLinear regressionMaterials ChemistryStatistical analysisElectrical and Electronic EngineeringInstrumentationMathematicsElectronic nosebusiness.industrySunflower oilELECTRONIC NOSEMetals and AlloysPattern recognitionSTATISTICAL ANALYSISCondensed Matter PhysicsLinear discriminant analysisSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsSENSORY DEFECTSENSORY THRESHOLDArtificial intelligencebusinessOlive oil
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Molecular Complexes Featuring Unsupported Dispersion-Enhanced Aluminum–Copper and Gallium–Copper Bonds

2020

The reaction of the copper(I) β-diketiminate copper complex {(Cu(BDIMes))2(μ-C6H6)} (BDIMes = N,N′-bis(2,4,6-trimethylphenyl)pentane-2,4-diiminate) with the low-valent group 13 metal β-diketiminates M(BDIDip) (M = Al or Ga; BDIDip = N,N′-bis(2,6-diisopropylphenyl)pentane-2,4-diiminate) in toluene afforded the complexes {(BDIMes)CuAl(BDIDip)} and {(BDIMes)CuGa(BDIDip)}. These feature unsupported copper–aluminum or copper–gallium bonds with short metal–metal distances, Cu–Al = 2.3010(6) Å and Cu–Ga = 2.2916(5) Å. Density functional theory (DFT) calculations showed that approximately half of the calculated association enthalpies can be attributed to London dispersion forces. peerReviewed

galliumkemialliset sidoksetligandsenthalpycoppermetalskuparikompleksiyhdisteetelectron densityalumiiniJournal of the American Chemical Society
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