Search results for "SELE"

showing 10 items of 4721 documents

Tuneable multicoloured patterns from photonic cross-communication between cholesteric liquid crystal droplets

2014

Monodisperse droplets of planar-aligned cholesteric (N*) liquid crystal exhibit an intriguing capacity for photonic cross-communication, giving rise to colourful patterns that depend sensitively on the N* pitch, droplet positions and illuminated area. The phenomenon results from a combination of omnidirectional selective reflection of N* droplets—which thus act as spherically symmetric self-assembled photonic crystals—and total internal reflection at the continuous phase surface. We outline how the unique optical properties can be employed in numerous applications.

Total internal reflectionMaterials scienceCholesteric liquid crystalbusiness.industryPhysics::OpticsGeneral ChemistryPhysics::Fluid DynamicsOpticsLiquid crystalMonodisperse dropletsMaterials ChemistryOptoelectronicsSelective reflectionPhotonicsbusinessOmnidirectional antennaJ. Mater. Chem. C
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Is tourism firm competitiveness driven by different internal or external specific factors?: New empirical evidence from Spain

2015

Abstract The quest to understand the multilevel antecedents of competitiveness has led to a separation of approaches. On one side of the question are the environment theories that analyze the structural characteristics of the general and competitive environment. On the other side are the Resource Based View and its extensions that highlight firm-specific resources and capabilities as the main basis of firms' competitiveness. However, in recent years the nature of competition and shifting economic conditions have given rise to new theoretical approaches that complement the assumptions underlying both environmental and firm theories. Specifically, this study contributes by examining the regio…

Tourist district effectTourism competitivenessCountry effectStrategy and ManagementTransportationStrategic groupRegional effectDevelopmentTerms of tradeFirm effectIndustry effectLocation theoryCompetition (economics)Strategy selectionTourism Leisure and Hospitality ManagementResource-based viewEconomicsMarketingEmpirical evidenceTourismIndustrial organization
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Food and Environment: Trace Element Content of Hen Eggs from Different Housing Types

2013

AbstractEleven trace elements (Ba, Cu, Fe, Mn, Ni, Pb, Rb, Se, Sr, V, Zn) were quantitatively determined in hen egg samples collected from different poultry housing types (large-scale poultry farms, organic farms and domestic farms) over the territory of Latvia. Samples were wet digested and quantitatively analysed by total reflection X-ray fluorescence spectrometry (TXRF). The accuracy of analytical method was verified with analysis of certified reference material NCS ZC73017 (GSB-10)-Apple. The most variable range of concentrations and the highest content of elements were determined for hen egg samples derived from organic farms, while egg samples from domestic farms and poultry farms mos…

Trace elementsbusiness.industryEggsTrace elementFluorescence spectrometrychemistry.chemical_elementPoultry farmingLatviaEnvironmental impactGeneral EnergyAnimal scienceCertified reference materialsGeographychemistryEnvironmental chemistryOrganic farmingTXRFFood compositionQuantitative analysisbusinessSeleniumAPCBEE Procedia
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Feature Selection for Ensembles of Simple Bayesian Classifiers

2002

A popular method for creating an accurate classifier from a set of training data is to train several classifiers, and then to combine their predictions. The ensembles of simple Bayesian classifiers have traditionally not been a focus of research. However, the simple Bayesian classifier has much broader applicability than previously thought. Besides its high classification accuracy, it also has advantages in terms of simplicity, learning speed, classification speed, storage space, and incrementality. One way to generate an ensemble of simple Bayesian classifiers is to use different feature subsets as in the random subspace method. In this paper we present a technique for building ensembles o…

Training setComputer sciencebusiness.industryBayesian probabilityPattern recognitionFeature selectionMachine learningcomputer.software_genreLinear subspaceRandom subspace methodNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONIterative refinementArtificial intelligencebusinesscomputerClassifier (UML)Cascading classifiers
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Ensemble Feature Selection Based on the Contextual Merit

2001

Recent research has proved the benefits of using ensembles of classifiers for classification problems. Ensembles constructed by machine learning methods manipulating the training set are used to create diverse sets of accurate classifiers. Different feature selection techniques based on applying different heuristics for generating base classifiers can be adjusted to specific domain characteristics. In this paper we consider and experiment with the contextual feature merit measure as a feature selection heuristic. We use the diversity of an ensemble as evaluation function in our new algorithm with a refinement cycle. We have evaluated our algorithm on seven data sets from UCI. The experiment…

Training setComputer sciencebusiness.industryHeuristicPattern recognitionFeature selectionContext (language use)Machine learningcomputer.software_genreEvaluation functionComputingMethodologies_PATTERNRECOGNITIONEnsembles of classifiersFeature (computer vision)Artificial intelligenceHeuristicsbusinesscomputer
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2004

This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises 315 AO molecules including 68 features each, inducing a problem well-suited to SVMs. The task of feature selection is crucial given the presence of noisy or redundant features, and the well-known problem of the curse of dimensionality. We propose a two-stage strategy to develop an optimal model: (1) feature selection using correlation analysis, mutual information, and SVM-based recursive feature elimination (SVM-RFE), and (2) AO prediction using standard and profiled SVM formulations. A profiled SVM gives different weights to …

Training setCorrelation coefficientMean squared errorComputer sciencebusiness.industryApplied MathematicsFeature selectionMutual informationMachine learningcomputer.software_genreBiochemistryComputer Science ApplicationsSupport vector machineStructural BiologyFeature (machine learning)Artificial intelligencebusinessMolecular BiologycomputerEnergy (signal processing)Curse of dimensionalityBMC Bioinformatics
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Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

2001

Recent research has proven the benefits of using ensembles of classifiers for classification problems. Ensembles of diverse and accurate base classifiers are constructed by machine learning methods manipulating the training sets. One way to manipulate the training set is to use feature selection heuristics generating the base classifiers. In this paper we examine two of them: correlation-based and contextual merit -based heuristics. Both rely on quite similar assumptions concerning heterogeneous classification problems. Experiments are considered on several data sets from UCI Repository. We construct fixed number of base classifiers over selected feature subsets and refine the ensemble iter…

Training setbusiness.industryComputer scienceFeature selectionPattern recognitionBase (topology)Machine learningcomputer.software_genreExpert systemRandom subspace methodComputingMethodologies_PATTERNRECOGNITIONEnsembles of classifiersFeature (machine learning)Artificial intelligencebusinessHeuristicscomputerCascading classifiers
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Ionizing radiation-induced E-selectin gene expression and tumor cell adhesion is inhibited by lovastatin and all-trans retinoic acid

2004

E-selectin mediated tumor cell adhesion plays an important role in metastasis. Here we show that ionizing radiation (IR) induces E-selectin gene and protein expression in human endothelial cells at therapeutically relevant dose level. E-selectin expression is accompanied by an increase in the adhesion of human colon carcinoma cells to primary human umbilical vein endothelial cells (HUVEC). The HMG-CoA reductase inhibitor lovastatin impairs IR-stimulated E-selectin expression as analyzed at the level of the protein, mRNA and promoter. Inactivation of Rho GTPases either by use of Clostridium difficile toxin A or by co-expression of dominant-negative Rho blocked IR-induced E-selectin gene indu…

Transcriptional Activationrho GTP-Binding ProteinsCancer ResearchBlotting WesternIntercellular Adhesion Molecule-1Retinoic acidEnzyme-Linked Immunosorbent AssayTretinoinchemistry.chemical_compoundGenes ReporterTretinoinCell Line TumorNeoplasmsRadiation IonizingE-selectinGene expressionCell AdhesionmedicineHumansLovastatinRNA MessengerPromoter Regions GeneticCell adhesionCells CulturedDose-Response Relationship DrugbiologyReverse Transcriptase Polymerase Chain ReactionTumor Necrosis Factor-alphaCell adhesion moleculeNF-kappa BDose-Response Relationship RadiationGeneral MedicineIntercellular Adhesion Molecule-1Gene Expression Regulation Neoplasticchemistrybiology.proteinCancer researchEndothelium VascularLovastatinHydroxymethylglutaryl-CoA Reductase InhibitorsE-Selectinmedicine.drugCarcinogenesis
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ChemInform Abstract: Stereocontrolled Approach to δ- and γ-Lactones and 1,3-Diols. The Role of X- Ion in the Selenolactonization.

2010

Abstract Two complementary approaches have been realized for the stereoselective synthesis of 4,6-disubstituted δ-lactones and 1,3- anti and syn diols. In the 6- endo selenolactonization the role of the X − ion on the stereoselectivity is shown. Moreover, the highly stereoselective transformation of the 6- endo δ-lactone to the 5- exo γ-lactone is reported.

Transformation (genetics)StereochemistryChemistryStereoselectivityGeneral MedicineIonChemInform
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A generalized transitive closure for relational queries

1988

We augment relational algebra with a generalized transitive closure operator that allows for the efficient evaluation of a subclass of recursive queries. The operator is based on a composition operator which is as general as possible when the operator is required to be associative and when only relational algebra operators are used in its definition. The closure of such a composition can be computed using the well-known efficient algorithms designed for the computation of the usual transitive closure. Besides the case in which complete materialization of recursive relations are required, our strategy also yields an efficient solution in the case in which a selection is applied to the closur…

Transitive relationSelection (relational algebra)Closure (topology)Transitive closure020207 software engineering02 engineering and technologyTransitive setRelational algebraTransitive reductionAlgebraTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESOperator (computer programming)TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS020204 information systems0202 electrical engineering electronic engineering information engineeringMathematicsProceedings of the seventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '88
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