Search results for " RED"

showing 10 items of 2272 documents

Luminescent TOP Nanosensors for Simultaneously Measuring Temperature, Oxygen, and pH at a Single Excitation Wavelength

2019

Two nanosensors for simultaneous optical measurements of the bioanalytically and biologically relevant analytes temperature (“T”), oxygen (“O”), and pH (“P”) have been designed. These “TOP” nanosensors are based on 100 nm-sized silica-coated polystyrene nanoparticles (PS-NPs) doped with a near-infrared emissive oxygen- and temperature-sensitive chromium(III) complex ([Cr(ddpd)2][BPh4]3, CrBPh4) and an inert reference dye (Nile Red, NR or 5,10,15,20-tetrakis(pentafluorophenyl) porphyrin, TFPP) and are covalently labeled with pH-sensitive fluorescein isothiocyanate (FITC). These emitters can be excited at the same wavelength and reveal spectrally distinguishable emission bands, allowing for r…

010401 analytical chemistryDopingAnalytical chemistryNile redNanoparticle010402 general chemistry01 natural sciencesPorphyrinFluorescence0104 chemical sciencesAnalytical Chemistrychemistry.chemical_compoundchemistryNanosensorExcited stateLuminescenceAnalytical Chemistry
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Heavy enzymes and the rational redesign of protein catalysts

2019

Abstract An unsolved mystery in biology concerns the link between enzyme catalysis and protein motions. Comparison between isotopically labelled “heavy” dihydrofolate reductases and their natural‐abundance counterparts has suggested that the coupling of protein motions to the chemistry of the catalysed reaction is minimised in the case of hydride transfer. In alcohol dehydrogenases, unnatural, bulky substrates that induce additional electrostatic rearrangements of the active site enhance coupled motions. This finding could provide a new route to engineering enzymes with altered substrate specificity, because amino acid residues responsible for dynamic coupling with a given substrate present…

010402 general chemistryProtein Engineering01 natural sciencesBiochemistryCatalysisEnzyme catalysisisotope effectsCatalytic DomainDihydrofolate reductaseMolecular BiologyAlcohol dehydrogenasechemistry.chemical_classificationalcohol dehydrogenasesCarbon Isotopesdihydrofolate reductasesbiologyBacteriaNitrogen Isotopes010405 organic chemistryConceptOrganic ChemistryAlcohol DehydrogenaseActive siteSubstrate (chemistry)Protein engineeringDeuteriumCombinatorial chemistrymolecular dynamics0104 chemical sciencesKineticsTetrahydrofolate Dehydrogenaseenzyme engineeringEnzymechemistrybiology.proteinBiocatalysisMolecular MedicineConcepts
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Reactions in the presence of irradiated semiconductors: Are they simply photocatalytic?

2018

A generally accepted classification distinguishes semiconductor photocatalysis in type A and type B. The first class comprehends reactions where the primary redox products (radical anions and cations) further evolve giving rise to the final reduced and oxidized species. Type B reactions occur when the primary redox products undergo intermolecular bond formation to addition products. Recently, some photocatalytic reactions have been reported wherein the photocatalytically produced compounds are not the final products. In fact, they react in the solution bulk or catalytically on the surface of the semiconductor with other species thus producing the target compounds. These reactions, hereby re…

010405 organic chemistrybusiness.industryChemistryC-H activation of alkaneOrganic ChemistryPrimary redox product010402 general chemistryPhotochemistry01 natural sciencesIrradiated semiconductor0104 chemical sciencesSemiconductorPhotocatalysisC-O bond formationIrradiationSettore CHIM/07 - Fondamenti Chimici Delle TecnologiebusinessC-N couplingSemiconductor photocatalysi
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Optimized Class-Separability in Hyperspectral Images

2016

International audience; Image visualization techniques are mostly based on three bands as RGB color composite channels for human eye to characterize the scene. This, however, is not effective in case of hyper-spectral images (HSI) because they contain dozens of informative spectral bands. To eliminate redundancy of spectral information among these bands, dimensionality reduction (DR) is applied while at the same trying to retain maximum information. In this paper, we propose a new method of information-preserved hyper-spectral satellite image visualization that is based on fusion of unsupervised band selection techniques and color matching function (CMF) stretching. The results show consist…

010504 meteorology & atmospheric sciencesBand SelectionComputer science0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesTransformation[SPI]Engineering Sciences [physics][ SPI.NRJ ] Engineering Sciences [physics]/Electric powerDisplay[ SPI ] Engineering Sciences [physics]Computer visionclass separabilityFusion021101 geological & geomatics engineering0105 earth and related environmental sciencesColor imagebusiness.industry[SPI.NRJ]Engineering Sciences [physics]/Electric powerHyperspectral imagingPattern recognition[ SDU.STU ] Sciences of the Universe [physics]/Earth SciencesImage segmentationSpectral bandsDimensionality reductionVisualization[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsImaging spectroscopyFull spectral imagingRGB color modelArtificial intelligencehyper-spectral image visualizationbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Statistical retrieval of atmospheric profiles with deep convolutional neural networks

2019

Abstract Infrared atmospheric sounders, such as IASI, provide an unprecedented source of information for atmosphere monitoring and weather forecasting. Sensors provide rich spectral information that allows retrieval of temperature and moisture profiles. From a statistical point of view, the challenge is immense: on the one hand, “underdetermination” is common place as regression needs to work on high dimensional input and output spaces; on the other hand, redundancy is present in all dimensions (spatial, spectral and temporal). On top of this, several noise sources are encountered in the data. In this paper, we present for the first time the use of convolutional neural networks for the retr…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesWeather forecasting02 engineering and technologycomputer.software_genreAtmospheric measurements01 natural sciencesConvolutional neural networkLinear regressionRedundancy (engineering)Information retrievalInfrared measurementsComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesArtificial neural networkbusiness.industryDeep learningDimensionality reductionPattern recognitionAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionNoise (video)Artificial intelligencebusinesscomputerNeural networksISPRS Journal of Photogrammetry and Remote Sensing
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Melt inclusions track melt evolution and degassing of Etnean magmas in the last 15 ka

2019

We present major elements compositions and volatiles contents of olivine-hosted melt inclusions from Etna volcano (Italy), which extend the existing database with the aim of interpreting the chemical variability of Etnean magmas over the last 15 ka. Olivine phenocrysts were selected from the most primitive Fall Stratified (FS) eruptive products of picritic composition (Mg# = 67–70, Fo 89–91 ), the Mt. Spagnolo eccentric lavas (Mg# = 52–64, Fo 82–88 ) and among the more recent 2002–2013 eruptive products (Mg# = 33–53, Fo 68–83 ). Crystal fractionation and degassing processes were modeled at temperatures of 1050–1300 °C, pressures <500 MPa, and oxygen fugacity between 1 and 2 log units abo…

010504 meteorology & atmospheric sciencesGeochemistryVolatile contentengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)Mineral redox bufferDegassingGeochemistry and PetrologySilicate melt inclusionPlagioclase0105 earth and related environmental sciencesMelt inclusionsFractional crystallization (geology)OlivineSpinelMelt differentiationGeologyEtna Silicate melt inclusions Volatile contents Melt differentiation Degassing13. Climate action[SDU]Sciences of the Universe [physics]engineeringPhenocrystEtnaGeology
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The impact of degassing on the oxidation state of basaltic magmas: A case study of Kīlauea volcano

2016

Volcanic emissions link the oxidation state of the Earth's mantle to the composition of the atmosphere. Whether the oxidation state of an ascending magma follows a redox buffer – hence preserving mantle conditions – or deviates as a consequence of degassing remains under debate. Thus, further progress is required before erupted basalts can be used to infer the redox state of the upper mantle or the composition of their co-emitted gases to the atmosphere. Here we present the results of X-ray absorption near-edge structure (XANES) spectroscopy at the iron K-edge carried out for a series of melt inclusions and matrix glasses from ejecta associated with three eruptions of Kīlauea volcano (Hawai…

010504 meteorology & atmospheric sciencesGeochemistrysub-05010502 geochemistry & geophysicsmelt inclusions01 natural sciencesMantle (geology)Mineral redox bufferOxidation stateGeochemistry and PetrologyHotspot (geology)Earth and Planetary Sciences (miscellaneous)EjectaGeophysic0105 earth and related environmental sciencesMelt inclusionsBasaltgeographygeography.geographical_feature_categorymelt inclusiondegassingoxygen fugacityXANESGeophysicsVolcanoSpace and Planetary SciencesulfurCO2Geology
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Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

2017

Abstract Current and upcoming airborne and spaceborne imaging spectrometers lead to vast hyperspectral data streams. This scenario calls for automated and optimized spectral dimensionality reduction techniques to enable fast and efficient hyperspectral data processing, such as inferring vegetation properties. In preparation of next generation biophysical variable retrieval methods applicable to hyperspectral data, we present the evaluation of 11 dimensionality reduction (DR) methods in combination with advanced machine learning regression algorithms (MLRAs) for statistical variable retrieval. Two unique hyperspectral datasets were analyzed on the predictive power of DR + MLRA methods to ret…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologies02 engineering and technologycomputer.software_genre01 natural sciencessymbols.namesakeLinear regressionComputers in Earth SciencesEngineering (miscellaneous)Gaussian processHyMap021101 geological & geomatics engineering0105 earth and related environmental sciencesData stream miningbusiness.industryDimensionality reductionHyperspectral imagingPattern recognitionAtomic and Molecular Physics and OpticsComputer Science ApplicationsKernel (statistics)symbolsData miningArtificial intelligencebusinesscomputerISPRS Journal of Photogrammetry and Remote Sensing
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Phlogopite-pargasite coexistence in an oxygen reduced spinel-peridotite ambient

2021

AbstractThe occurrence of phlogopite and amphibole in mantle ultramafic rocks is widely accepted as the modal effect of metasomatism in the upper mantle. However, their simultaneous formation during metasomatic events and the related sub-solidus equilibrium with the peridotite has not been extensively studied. In this work, we discuss the geochemical conditions at which the pargasite-phlogopite assemblage becomes stable, through the investigation of two mantle xenoliths from Mount Leura (Victoria State, Australia) that bear phlogopite and the phlogopite + amphibole (pargasite) pair disseminated in a harzburgite matrix. Combining a mineralogical study and thermodynamic modelling, we predict …

010504 meteorology & atmospheric sciencesSciencephlogopiteGeochemistryengineering.materialamphibole010502 geochemistry & geophysics01 natural sciencesArticleMantle (geology)NOupper mantleMineral redox bufferUltramafic rockgeothermMetasomatismGeneralAmphibolePetrology0105 earth and related environmental sciencesPeridotitemodelMultidisciplinarymetasomatismphlogopite-pargasiteChemistrygeotherm; model; mantle xenoliths;PargasiteQRMineralogymantle xenolithsGeochemistryphlogopite; amphibole; metasomatism; upper mantleengineeringPhlogopiteMedicinemantle xenolithScientific Reports
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GRB 050904 at redshift 6.3: observations of the oldest cosmic explosion after the Big Bang

2005

We present optical and near-infrared observations of the afterglow of the gamma-ray burst GRB 050904. We derive a photometric redshift z = 6.3, estimated from the presence of the Lyman break falling between the I and J filters. This is by far the most distant GRB known to date. Its isotropic-equivalent energy is 3.4x10^53 erg in the rest-frame 110-1100 keV energy band. Despite the high redshift, both the prompt and the afterglow emission are not peculiar with respect to other GRBs. We find a break in the J-band light curve at t_b = 2.6 +- 1.0 d (observer frame). If we assume this is the jet break, we derive a beaming-corrected energy E_gamma = (4-12)x10^51 erg. This limit shows that GRB 050…

010504 meteorology & atmospheric sciencesgamma rays: burstsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsJet (particle physics)Astrophysics01 natural sciences[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]gamma rays: individual: GRB 0509040103 physical sciences010303 astronomy & astrophysics0105 earth and related environmental sciencesPhotometric redshiftPhysicsCOSMIC cancer database[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Star formationAstrophysics (astro-ph)Astronomy and Astrophysicsearly UniverseLight curveRedshiftAfterglowSpace and Planetary Sciencecosmology: observationsGamma-ray burst
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