Search results for "Partial"

showing 10 items of 1477 documents

What keeps young adults in permanent poverty? A comparative analysis using ECHP

2009

Abstract Previous studies suggest that there are strong differences in the rates of youth poverty across European countries. Rather surprisingly, it is found to be high in Scandinavian countries, and relatively speaking, lower in Mediterranean and Anglo-Saxon countries. This somewhat unexpected finding prompts the question whether the incidence of poverty is an appropriate measure of youth disadvantage. Instead of considering poverty rates we consider the length of recorded poverty spells, taking into account explicitly the temporal sequencing of the episodes of poverty. Using the European Community Household Panel, individuals are classified into different groups of poverty permanence, eac…

Sociology and Political ScienceEuropean communityProtective factorLogistic regressionEuropean studiesEducation0502 economics and business050602 political science & public administration050207 economicsYoung adult10. No inequalitySocioeconomicsECHPDisadvantagePanel dataComparative analysiPoverty05 social sciences1. No povertyPOVERTY ECHP YOUTHEuropean studies0506 political sciencePOVERTYPermanence of povertyGeographyYOUTH8. Economic growthDemographic economicsPartial Proportional Odds Ordered Logit ModelPanel data
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Heterogeneity of traditional and digital media use among older adults: A six-country comparison

2021

Abstract The concept of aged heterogeneity has been associated with older adults' ability to adapt to the digital age without a systematic empirical analysis. We analyse retired adults' (aged 62 or more) use of traditional media and their digital equivalents in six countries. First, we ask whether heterogeneity in traditional and digital media use increases with age. Second, we study to what extent gender is related to this heterogeneity, and third, the country differences in the heterogeneity of media use in later life. We analyse the 2018 data (N = 5865) of the ‘Older audiences in the digital media environment’ survey using zero-inflated negative binomial models. The results provide parti…

Sociology and Political Sciencebusiness.industry020209 energymedia_common.quotation_subject05 social sciencesCountry differencesNegative binomial distributionHuman Factors and Ergonomics02 engineering and technologyEducationDevelopmental psychologyDigital mediaAsk priceMedia useReading (process)0502 economics and business0202 electrical engineering electronic engineering information engineeringThe InternetBusiness and International ManagementbusinessPsychologyPartial support050203 business & managementmedia_commonTechnology in Society
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A spectroscopic method for determining lignin content of softwood and hardwood kraft pulps

1998

Abstract A rapid method for determining the kappa number of unbleached and oxygen-delignified kraft pulps in the range 3–35 is presented. This novel method was based on the multivariate analysis of VIS spectral data on pulp samples. The calculated models and the test results indicated that partial least squares (PLS) and principal component regression (PCR) models yielded similar results, PLS being slightly more accurate. It was also found that for practical purposes a separate model for each wood feedstock and delignification process is needed.

SoftwoodChemistryProcess Chemistry and TechnologyPulp (paper)engineering.materialKappa numberPulp and paper industryComputer Science ApplicationsAnalytical ChemistryKraft processPartial least squares regressionHardwoodengineeringPrincipal component regressionSpectroscopySoftwareKraft paperChemometrics and Intelligent Laboratory Systems
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FTIR Monitoring of Chemical Changes in Softwood During Heating

2000

Abstract A multivariate chemometric method for monitoring the mass loss of Scots pine (Pinus sylvestris) and Norway spruce (Picea abies) by IR spectroscopic determination of chemical changes occurring during the heat treatment (160 - 260 °C, 2 - 8 h) of these wood materials was developed. The method was based on the handling of FTIR data on treated and untreated wood powder samples by the partial least squares (PLS) method. In addition, unknown samples (treated and untreated pine and spruce) were classified into separate groups by the principal component analysis (PCA) method. The chemical changes occurring in the wood samples during heating were also briefly discussed.

SoftwoodbiologyChemistryGeneral Chemical EngineeringfungiScots pinePicea abiesGeneral Chemistrybiology.organism_classificationcomplex mixturesEnvironmental chemistryPartial least squares regressionPrincipal component analysisBotanyGeneral Materials ScienceFourier transform infrared spectroscopyChemical compositionWoody plantJournal of Wood Chemistry and Technology
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Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

2012

International audience; Large soil spectral libraries compiling thousands of NIR (Near Infrared) reflectance spectra have been created encompassing a wide diversity and heterogeneity of spectra. Among the many chemometric approaches to the calibration of chemical and physical properties from these large libraries, local calibrations have the advantage of being able to select the most similar spectra to the spectrum of a target sample. This is particularly relevant when dealing with highly heterogeneous media such as soils, where the mineral matrix has a strong influence on spectral features. A crucial step in the implementation of local calibration procedures is the construction of local ne…

Soil testCorrelation coefficientnear infrared spectroscopy[SDV]Life Sciences [q-bio]Fast Fourier transformfast fourier transformsample selection010501 environmental sciences01 natural sciencesAnalytical ChemistryStatisticsPartial least squares regressionsoil spectral databaseSpectroscopySelection (genetic algorithm)0105 earth and related environmental sciencesMathematicscompression methodsMahalanobis distancelocal calibrationbusiness.industryProcess Chemistry and TechnologyLocal regressionPattern recognition04 agricultural and veterinary sciences15. Life on landComputer Science Applications[SDE]Environmental SciencesPrincipal component analysis040103 agronomy & agriculture0401 agriculture forestry and fisheriesArtificial intelligencebusinessSoftwareChemometrics and Intelligent Laboratory Systems
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Characterization of Odor-Active Compounds in Aromatic Caramel by GC-Olfactometry and GC-Mass Spectrometry

2014

The aim of this study was to characterize odor-active compounds and sensory properties of four aromatic caramels. The volatile fraction was isolated by solvent assisted flavor evaporation (SAFE) and analyzed by GC/MS and GC/O with the detection frequency method. Furthermore, descriptive sensory profiles were performed with a panel of 10 trained assessors. Of the 77 odorant areas detected (detection frequency≥33%), 40 were associated to identified molecules. GC/O data were correlated to sensory attributes by partial least squares regression (PLSR). Oxygenated heterocycles, cyclopentenone derivatives, and carboxylic acids appeared as the most important contributors in caramel aroma.

SolventChromatographybiologyOdorChemistryOlfactometryPartial least squares regressionOrganic chemistryGas chromatography–mass spectrometrybiology.organism_classificationMass spectrometryFlavorAroma
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Determination of lidocaine in urine at low ppm levels using dispersive microextraction and attenuated total reflectance–Fourier transform infrared me…

2015

Abstract IR spectra provide valuable information about biological systems and can be obtained with compactable and affordable instruments, but the lack of sensitivity of this technique hampers its use in the determination of drugs in clinical fluids. Taking lidocaine as a target molecule, in this paper we introduced a methodology for determining drugs in urine samples using infrared spectroscopy. The lack of sensitivity of the IR was compensated with the combination of an effective and straightforward dispersive liquid–liquid microextraction and the measurement of the dry film of the organic extracts through attenuated total reflectance (ATR). The method developed improves the sensitivity b…

SolventDetection limitAnalyteChromatographyChemistryAttenuated total reflectionPartial least squares regressionAnalytical chemistryCalibrationInfrared spectroscopyUrineSpectroscopyAnalytical ChemistryMicrochemical Journal
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Space‐time dynamical models

2008

Purpose – The purpose is to present a new formal approach based on a partial integro‐differential equation, the space‐time state transition equation (STSTE), and on a set of general equations with which space‐time dynamical models of complex systems, such as social systems and ecosystems, can be built.Design/methodology/approach – The STSTE provides the partial derivative of the density of a state‐variable with regard to time as a sum of time rates and space‐time rates. Time rates describe the dynamics of the system for each space‐point irrespectively of the other points, whilst space‐time rates describe this evolution as a consequence of the relation of each space‐point with a given set of…

Space timeMathematical analysisComplex systemSpace (mathematics)Theoretical Computer ScienceSet (abstract data type)Systems theoryControl and Systems EngineeringComputer Science (miscellaneous)Partial derivativeCyberneticsApplied mathematicsState-transition equationEngineering (miscellaneous)Social Sciences (miscellaneous)MathematicsKybernetes
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Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint

2020

The potential of nondestructive prediction of egg freshness based on near-infrared (NIR) spectra fingerprints would be beneficial to quality control officers and consumers alike. In this study, handheld NIR spectrometer in the range of 740 nm to 1070 nm and chemometrics were used to simultaneously determine egg freshness based on marked date of lay for eggs stored under cold and ambient conditions. The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA). Linear discriminant analysis (LDA) was used to build identification model to predict the category of freshness, while partial least square regression (PLS-R) wa…

SpectrometerArticle Subjectbusiness.industry010401 analytical chemistry0402 animal and dairy scienceCold storagePattern recognitionQC350-46704 agricultural and veterinary sciencesOptics. LightLinear discriminant analysis040201 dairy & animal science01 natural sciencesAtomic and Molecular Physics and Optics0104 chemical sciencesAnalytical ChemistryChemometricsFingerprintPartial least squares regressionPrincipal component analysisCalibrationArtificial intelligencebusinessSpectroscopyMathematicsJournal of Spectroscopy
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Non-destructive and clean prediction of aviation fuel characteristics through Fourier transform-Raman spectroscopy and multivariate calibration

2003

Abstract The combination of Fourier transform (FT)-Raman spectroscopy and partial least squares (PLS) regression is proposed to be used in off-line kerosene quality control. Here, six important physico-chemical properties have been studied: Abel flash point, initial boiling point (IBP), 10% of distilled sample, final boiling point (FBP), total percentage of aromatic compounds (% aromatics) and viscosity. The Raman spectra were obtained directly from standard 2 ml glass vials ( 12 mm ×32  mm), using a Bruker RFS 100 FT-Raman spectrometer, equipped with a 1064 nm Nd:YAG laser and a Ge detector, in back-scattering mode and accumulating 25 scans (150 s acquisition time) with a laser power of 30…

SpectrometerChemistryAnalytical chemistryLaserBiochemistryAnalytical Chemistrylaw.inventionBoiling pointsymbols.namesakeFourier transformlawPartial least squares regressionsymbolsEnvironmental ChemistryLaser power scalingSpectroscopyRaman spectroscopySpectroscopyAnalytica Chimica Acta
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