Search results for "Cog"

showing 10 items of 17676 documents

Crystallographic snapshots of host–guest interactions in drugs@metal–organic frameworks: towards mimicking molecular recognition processes

2018

We report a novel metal–organic framework (MOF) featuring functional pores decorated with hydroxyl groups derived from the natural amino acid L-serine, which is able to establish specific interactions of different natures, strengths and directionalities with organic molecules of technological interest, i.e. ascorbic acid, pyridoxine, bupropion and 17-β-estradiol, based on their different sizes and chemical natures. The ability of 1 to distinctly organize guest molecules within its channels, through the concomitant effect of different directing supramolecular host–guest interactions, enables gaining unique insights, by means of single-crystal X-ray crystallography, into the host–guest intera…

010405 organic chemistryChemistryProcess Chemistry and TechnologySupramolecular chemistrymacromolecular substances010402 general chemistryAscorbic acid01 natural sciences0104 chemical sciencesOrganic moleculesCrystallographyMolecular recognitionMechanics of MaterialsMoleculeGeneral Materials ScienceMetal-organic frameworkElectrical and Electronic EngineeringMaterials Horizons
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Systematic Investigation of Resorcin[4]arene-Based Cavitands as Affinity Materials on Quartz Crystal Microbalances.

2017

Resorcin[4]arene cavitands are well-known supramolecular hosts, and their outstanding guest-binding abilities in solution have been studied in detail in recent decades. In a systematic approach, different resorcin[4]arene cavitands and container molecules are characterized as affinity materials for gravimetric sensing using high-fundamental-frequency quartz crystal microbalances. Analysis of their affinity toward a series of various analytes reveals a remarkable dependence of both selectivity and sensitivity on the shape, accessibility, and size of the cavity, along with their supramolecular interactions with the host molecules.

010405 organic chemistryChemistrySupramolecular chemistryGeneral Chemistry010402 general chemistry01 natural sciencesCombinatorial chemistry0104 chemical sciencesCrystalMolecular recognitionOrganic chemistryGravimetric analysisMoleculeSelectivityQuartzChemPlusChem
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Acylchalcogenourea Complexes of Silver(I)

2016

Acylthio- or acylselenoureas react with silver(I) oxide to form tetranuclear silver(I) complexes containing the deprotonated acylchalcogenourea ligands bound to the silver atoms through the chalcogen and oxygen atoms. These tetrasilver(I) species react with either 4 or 8 equiv. of a phosphine to afford either dinuclear silver(I) phosphine complexes or tetrahedral silver diphosphine complexes. In these compounds, the acylchalcogenourea ligands form six-membered rings by coordinating to the metal atom through the chalcogen and oxygen atoms. In one case, we observed a very rare example of an acylthiourea ligand coordinated through the nitrogen and sulfur atoms to form a four-membered ring. A s…

010405 organic chemistryLigand010402 general chemistryRing (chemistry)01 natural sciences0104 chemical sciencesInorganic ChemistryMetalchemistry.chemical_compoundChalcogenDeprotonationchemistryvisual_artPolymer chemistryvisual_art.visual_art_mediumsilver complexesta116CarbeneDerivative (chemistry)PhosphineEuropean Journal of Inorganic Chemistry
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Synthesis, reactivity and structural studies of selenide bridged carboranyl compounds.

2006

Reaction of the lithium salt Li[1-R-1,2-closo-C(2)B(10)H(10)] with selenium under mild conditions, followed by hydrolysis gave the diselenide compound (1-Se-2-R-1,2-closo-C(2)B(10)H(10))(2) in contrast to the well-reported mercapto compounds 1-SH-2-R-1,2-closo-C(2)B(10)H(10) obtained using a similar synthetic procedure. Details for the preparation and X-ray structural characterisation of the new compounds (2-Me-1,2-closo-C(2)B(10)H(10))(2)Se, (1-Se-2-R-1,2-closo-C(2)B(10)H(10))(2) (R = Me, Ph, ) are specified. To further explore the mechanism of the dimerization reaction, the complex [Au(1-Se-2-Me-1,2-closo-C(2)B(10)H(10))(PPh(3))] was synthesized, confirming the existence of the intermedia…

010405 organic chemistryLigandInorganic chemistrychemistry.chemical_elementNuclear magnetic resonance spectroscopy010402 general chemistry01 natural sciencesMedicinal chemistry0104 chemical sciencesInorganic ChemistryDiselenidechemistry.chemical_compoundChalcogenchemistrySelenideReactivity (chemistry)Cyclic voltammetrySeleniumDalton transactions (Cambridge, England : 2003)
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Application of Rigidity-Controlled Supramolecular Affinity Materials for the Gravimetric Detection of Hazardous and Illicit Compounds.

2016

The combination of an (-)-isosteviol-derived building block and 9,9'-spirobifluorene or tetraphenylmethane generated highly potent new affinity materials for the detection of volatile organic compounds (VOCs). Comparison of their affinity behaviour with different core structures showed remarkable influence on selectivity and sensitivity due to structural rigidity and their pre-organization. Their unique supramolecular properties were investigated in an affinity assay using high fundamental frequency quartz crystal microbalances.

010405 organic chemistrySupramolecular chemistryGeneral Chemistry010402 general chemistry01 natural sciences0104 chemical scienceschemistry.chemical_compoundRigidity (electromagnetism)Molecular recognitionchemistryOrganic chemistryGravimetric analysisSelectivityStructural rigidityTetraphenylmethaneChemPlusChem
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Transnational bodies: Embodiment of transnational settings

2016

AbstractThe everyday life of more and more people is characterized by transnationalism. People increasingly interact across borders and in a network of transnational relationships. While interactions may be border-crossing, the actors’ body remains situated and limited in time and space. However, the thesis of this paper is that transnationalism processes are embodied. Thus, we speak of an embodiment of transnational settings. We focus on symbolic interactionism – Charles H. Cooley and George H. Mead in particular provide a large repertoire of concepts – to theoretically conceive transnational bodies. To show how transnational embodiment can manifest itself we use the example of young peopl…

010405 organic chemistrymedia_common.quotation_subjectRepertoire05 social sciences0507 social and economic geographyMedia studiesGender studiesBody remainsSymbolic interactionism01 natural sciences0104 chemical sciencesEmbodied cognitionBeautySituatedTransnationalismSociologyEveryday life050703 geographymedia_commonTransnational Social Review
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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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Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

2016

Abstract. Image processing of X-ray-computed polychromatic cone-beam micro-tomography (μXCT) data of geological samples mainly involves artefact reduction and phase segmentation. For the former, the main beam-hardening (BH) artefact is removed by applying a best-fit quadratic surface algorithm to a given image data set (reconstructed slice), which minimizes the BH offsets of the attenuation data points from that surface. A Matlab code for this approach is provided in the Appendix. The final BH-corrected image is extracted from the residual data or from the difference between the surface elevation values and the original grey-scale values. For the segmentation, we propose a novel least-squar…

010504 meteorology & atmospheric sciencesComputer scienceStratigraphySoil ScienceImage processing010502 geochemistry & geophysicsResidual01 natural sciences550 Earth scienceslcsh:StratigraphyGeochemistry and PetrologyLeast squares support vector machineSegmentationlcsh:QE640-6990105 earth and related environmental sciencesEarth-Surface ProcessesPixelbusiness.industrylcsh:QE1-996.5PaleontologyGeologyPattern recognition550 Geowissenschaftenlcsh:GeologyData setSupport vector machineGeophysicsData pointArtificial intelligencebusinessSolid Earth
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Convolutional Neural Networks for Cloud Screening: Transfer Learning from Landsat-8 to Proba-V

2018

Cloud detection is a key issue for exploiting the information from Earth observation satellites multispectral sensors. For Proba-V, cloud detection is challenging due to the limited number of spectral bands. Advanced machine learning methods, such as convolutional neural networks (CNN), have shown to work well on this problem provided enough labeled data. However, simultaneous collocated information about the presence of clouds is usually not available or requires a great amount of manual labor. In this work, we propose to learn from the available Landsat −8 cloud masks datasets and transfer this learning to solve the Proba-V cloud detection problem. CNN are trained with Landsat images adap…

010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryMultispectral image0211 other engineering and technologiesPattern recognitionCloud computing02 engineering and technologySpectral bands01 natural sciencesConvolutional neural networkData modelingKey (cryptography)Artificial intelligencebusinessTransfer of learning021101 geological & geomatics engineering0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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