Search results for "component"

showing 10 items of 1682 documents

Background Correction and Multivariate Curve Resolution of Online Liquid Chromatography with Infrared Spectrometric Detection

2011

J.K. acknowledges the “V Segles” grant provided by the University of Valencia to carry out this study. Authors acknowledge the financial support of Ministerio de Educación y Ciencia (Projects AGL2007-64567 and CTQ2008-05719/BQU) and Conselleria d'Educació de la Generalitat Valenciana (Project PROMETEO 2010-055).

Multivariate statisticsPrincipal Component AnalysisChromatographySpectrophotometry InfraredInfraredChemistryAnalytical chemistrySubtractionPhase (waves)CarbohydratesSignalAnalytical ChemistryNitrophenolsNitrophenolchemistry.chemical_compoundPrincipal component analysisLeast-Squares AnalysisAbsorption (electromagnetic radiation)AlgorithmsChromatography High Pressure LiquidSoftware
researchProduct

Multivariate approach to reveal relationships between sensory perception of cheeses and aroma profile obtained with different extraction methods

2014

A new and original statistical approach was used to compare the effectiveness of 4 different methods to analyse aroma compounds of seven different commercial semi-hard cheeses with regard to their orthonasal sensory perception. Four extraction methods were evaluated: Purge and Trap, Artificial Mouth, Solid-Phase Microextraction (SPME) and Solvent-Assisted Flavour Evaporation (SAFE). Among the headspace methods, Artificial Mouth gave the closest representation of the studied product space to the sensory perception one. The SAFE method was complementary to the dynamic headspace methods, as it was very efficient in extracting the heavy molecules but less efficient for extracting the most volat…

Multivariate statisticsRV coefficientmedia_common.quotation_subjectArtificial mouth[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionFlavourkey odorantPurge and trapCheesePerception[SDV.IDA]Life Sciences [q-bio]/Food engineeringparmigiano reggiano cheeseAromaAromamedia_commonmass spectrometryChromatographybiologyflavor compoundChemistry[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringphase microextraction spmebiology.organism_classificationSensory sorting taskvolatile componentMultivariate analysisExtraction methodsgas-chromatography-olfactometryExtraction methodsdynamic headspace[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Sciencepurge-and-trap
researchProduct

Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data

2008

N1bchildrennon-specific N1current source density (CSD)event-related potential (ERP)T-complexindependent component analysis (ICA)auditory N1
researchProduct

THE EFFECT OF INBOUND, OUTBOUND AND COUPLED INNOVATION ON PERFORMANCE

2012

The focus of this paper is on exploring linkages among Open Innovation practices and firm performance. While, in the last ten years, a certain amount of papers facing such issue has been published, most of them treat inbound, outbound, and coupled innovation practice processes separately respect to different dimensions of innovation and financial performance. We argue that the concurrent influence of specific Open Innovation practices on both innovation and economic-financial firms' performance has not been investigated so far into the literature and it is of primary managerial importance. We empirically test our framework on a sample of 105 companies listed on the Industrial Machinery and…

NasdaqFinancial performanceIndex (economics)Strategy and ManagementSample (statistics)Secondary data sourcesinnovation performanceSettore ING-IND/35 - Ingegneria Economico-GestionaleOpen Innovationfinancial performanceManagement of Technology and InnovationComponent (UML)EconomicsOpen Innovation innovation performance financial performance Nasdaq secondary data sourcessecondary data sources.Business and International ManagementMarketingOpen innovation
researchProduct

2014

Due to its millisecond-scale temporal resolution, EEG allows to assess neural correlates with precisely defined temporal relationship relative to a given event. This knowledge is generally lacking in data from functional magnetic resonance imaging (fMRI) which has a temporal resolution on the scale of seconds so that possibilities to combine the two modalities are sought. Previous applications combining event-related potentials (ERPs) with simultaneous fMRI BOLD generally aimed at measuring known ERP components in single trials and correlate the resulting time series with the fMRI BOLD signal. While it is a valuable first step, this procedure cannot guarantee that variability of the chosen …

Neural correlates of consciousnessgenetic structuresmedicine.diagnostic_testGeneral NeuroscienceSpeech recognitionElectroencephalographyEEG-fMRIbehavioral disciplines and activitiesIndependent component analysisTask (project management)nervous systemTemporal resolutionmedicineGeneralizability theoryFunctional magnetic resonance imagingPsychologypsychological phenomena and processesFrontiers in Neuroscience
researchProduct

Screening of some rare endemic Italian plants for inhibitory activity on 5-lipoxygenase

2003

Abstract The extracts of four rare plants found on the islands of Sicily, Vulcano and Marettimo, Southern Italy, were screened for their inhibitory effect on the production of leukotriene B 4 by 5-lipoxygenase in intact cells. The methanol extracts of pods of Cytisus aeolicus and aerial parts of Thymus richardii were the most active extracts, inhibiting almost completely the leukotriene B 4 production at 200 and 50 μg/ml, respectively.

NeutrophilsLeukotriene B4PharmacognosyInhibitory postsynaptic potentialLeukotriene B4MicrobiologyThymus PlantLipoxygenasechemistry.chemical_compoundPlumbaginaceaeDrug DiscoveryBotanyAnimalsLipoxygenase InhibitorsGenistaRats WistarCytotoxicitySicilyCytisusPharmacologychemistry.chemical_classificationbiologyPlant ExtractsCytisusGeneral MedicinePlant Components Aerialbiology.organism_classificationRatsEnzymechemistryArachidonate 5-lipoxygenasebiology.proteinFitoterapia
researchProduct

Antibacterial and antioxidant activities in Sideritis italica (Miller) Greuter et Burdet essential oils

2006

Sideritis italica (Miller) Greuter et Burdet is a widespread Lamiacea in the Mediterranean region used in traditional medicine. Essential oils were antibacterial against nine ATCC and as many clinically isolated Gram-positive and Gram-negative bacterial strains. Antibacterial activity was also found against Helicobacter pylori: a dose-dependant inhibition was shown between 5 and 25 microg/ml. The antibacterial activity of the oils was expressed as MICs (minimum inhibitory concentrations) and MBCs (minimum bactericidal concentrations). At a concentration between 3.9 and 250 microg/ml the oils showed a significant antibacterial effect against both Gram-negative and Gram-positive bacteria. In …

NeutrophilsProteus vulgarisantioxidant activityMicrobial Sensitivity TestsGram-Positive BacteriaAntioxidantsessential oilMicrobiologylaw.inventionchemistry.chemical_compoundantibacterial activitylawDrug DiscoveryGram-Negative BacteriaLeukocytesOils VolatileSideritis italicaHumansPlant OilsFood scienceEssential oilCells CulturedAntibacterial agentPharmacologyABTSbiologyDose-Response Relationship DrugHelicobacter pyloriPlant Components Aerialbiology.organism_classificationAscorbic acidAnti-Bacterial AgentschemistryLuminescent MeasurementsSideritisSideritisTroloxAntibacterial activityReactive Oxygen Species
researchProduct

Signal-to-noise ratio in reproducing kernel Hilbert spaces

2018

This paper introduces the kernel signal-to-noise ratio (kSNR) for different machine learning and signal processing applications}. The kSNR seeks to maximize the signal variance while minimizing the estimated noise variance explicitly in a reproducing kernel Hilbert space (rkHs). The kSNR gives rise to considering complex signal-to-noise relations beyond additive noise models, and can be seen as a useful signal-to-noise regularizer for feature extraction and dimensionality reduction. We show that the kSNR generalizes kernel PCA (and other spectral dimensionality reduction methods), least squares SVM, and kernel ridge regression to deal with cases where signal and noise cannot be assumed inde…

Noise model02 engineering and technologySNR010501 environmental sciences01 natural sciencesKernel principal component analysisSenyal Teoria del (Telecomunicació)Signal-to-noise ratioArtificial Intelligence0202 electrical engineering electronic engineering information engineeringHeteroscedastic0105 earth and related environmental sciencesMathematicsNoise (signal processing)Dimensionality reductionKernel methodsSignal classificationSupport vector machineKernel methodKernel (statistics)Anàlisi funcionalSignal ProcessingFeature extraction020201 artificial intelligence & image processingSignal-to-noise ratioComputer Vision and Pattern RecognitionAlgorithmSoftwareImatges ProcessamentReproducing kernel Hilbert spaceCausal inference
researchProduct

Spatial weighted averaging for ERP denoising in EEG data

2010

In the present paper we intend to improve the practical accuracy of ERP denoising methods proposed in earlier research by allowing them to take into account possible violations of the underlying assumptions, which often take place in practice. Here we consider ERP denoising approaches operating within the framework of the linear instantaneous mixing model that consist three steps: (1) forward linear transformation, (2) identification of the components related to signal and noise subspaces, (3) inverse transformation during which the components that belong to the noise subspace are disregarded, i.e. dimension reduction in the component space. The separation matrix is found based on problem-s…

NoiseTransformation (function)Signal-to-noise ratioCovariance matrixbusiness.industrySource separationPattern recognitionArtificial intelligencebusinessIndependent component analysisLinear subspaceSubspace topologyMathematics2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP)
researchProduct

El análisis del discurso oral y su enseñanza

2015

Speaking a language does not only mean mastering the rules that govern its grammar, but also requires knowing how to communicate, as well as being able to interact efficiently in this language, exchanging and interpreting information in different registers and language varieties. It is necessary, therefore, to teach Pragmatics, understood as the analysis and reflection on the usage and on the strategic mechanisms displayed when speaking (acting), especially when the interaction takes place in specific communicative circumstances. Learning the oral component of a language must prepare students for the analysis of speech samples. By learning the oral aspects, students acquire some skills and …

Nonverbal communicationReflection (computer programming)Grammarmedia_common.quotation_subjectComponent (UML)PragmaticsPsychologyLinguisticsmedia_commonFilologia e Linguística Portuguesa
researchProduct