Search results for "tables"

showing 10 items of 324 documents

Application of solid-phase microextraction for determining phenylurea herbicides and their homologous anilines from vegetables.

2004

Abstract Residues of metobromuron, monolinuron and linuron herbicides and their aniline homologous were analyzed in carrots, onions and potatoes by solid-phase microextraction (SPME) performed with a polyacrylate fiber. A juice was obtained from food samples that were further diluted, and an aliquot was extracted after sodium chloride (14%) addition and pH control. At pH 4 only the phenylureas were extracted. A new extraction at pH 11 allowed the extraction of phenylureas plus homologous aniline metabolites. Determination was carried out by gas chromatography with nitrogen–phosporus detection (NPD) the identity of the determined compounds was studied by gas chromatography–mass spectrometry.…

Solid-phase microextractionBiochemistryAnalytical Chemistrychemistry.chemical_compoundAnilineVegetablesNanotechnologySample preparationResidue (complex analysis)ChromatographyAniline CompoundsHerbicidesPhenylurea CompoundsOrganic ChemistryExtraction (chemistry)Pesticide Residuesfood and beveragesReproducibility of ResultsGeneral MedicineMonolinuronPesticideReference StandardschemistrySpainSolventsSpectrophotometry UltravioletGas chromatographyChromatography LiquidJournal of chromatography. A
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Application of matrix solid-phase dispersion to the determination of a new generation of fungicides in fruits and vegetables.

2002

A method based on matrix solid-phase dispersion (MSPD) and gas chromatography to determine eight fungicides in fruits and vegetables is described. Fungicide residues were identified and quantified using nitrogen-phosphorus detection and electron-capture detection connected in parallel and confirmed by mass spectrometric detection. The method required 0.5 g of sample, C18 bonded silica as dispersant sorbent, silica as clean-up sorbent and ethyl acetate as eluting solvent. Recoveries from spiked orange, apple, tomato, artichoke, carrot and courgette samples ranged from 62 to 102% and relative standard deviations were less than 15% in the concentration range 0.05-10 mg kg(-1). Detection and qu…

SorbentChromatographyChromatography GasChemistryOrganic ChemistryEthyl acetateGeneral MedicineReference StandardsBiochemistrySensitivity and SpecificityAnalytical ChemistryFungicides Industrialchemistry.chemical_compoundElectron capture detectorFruitVegetablesAnhydrousSample preparationSolid phase extractionGas chromatographyCaptanJournal of chromatography. A
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Determination of dithiocarbamates and metabolites in plants by liquid chromatography–mass spectrometry

2004

Abstract A quantitative matrix solid-phase dispersion and liquid chromatography–atmospheric pressure chemical ionization mass spectrometry (LC–APCI–MS) method is outlined for the simultaneous analysis of dithiocarbamates (DTCs) and their degradation products in plants. Compounds analyzed are dazomet, disulfiram, thiram and the metabolites ethylenthiourea and propylenthiourea. The performance of two different sample preparation protocols, the proposed one and other based on solid-phase extraction, as well as, of both atmospheric pressure ionization sources, APCI and electrospray, were compared. The effect of several parameters on the extraction, separation and detection was studied. Dithioca…

Spectrometry Mass Electrospray IonizationChemical ionizationChromatographyChemistryOrganic ChemistryReproducibility of ResultsAtmospheric-pressure chemical ionizationGeneral MedicinePlantsReference StandardsMass spectrometryBiochemistryHigh-performance liquid chromatographyAnalytical ChemistryMatrix (chemical analysis)ThiocarbamatesLiquid chromatography–mass spectrometryFruitVegetablesIndicators and ReagentsSample preparationSolid phase extractionChromatography LiquidJournal of Chromatography A
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Where Does Nε-Trimethyllysine for the Carnitine Biosynthesis in Mammals Come from?

2014

N(ε)-trimethyllysine (TML) is a non-protein amino acid which takes part in the biosynthesis of carnitine. In mammals, the breakdown of endogenous proteins containing TML residues is recognized as starting point for the carnitine biosynthesis. Here, we document that one of the main sources of TML could be the vegetables which represent an important part of daily alimentation for most mammals. A HPLC-ESI-MS/MS method, which we previously developed for the analysis of N(G)-methylarginines, was utilized to quantitate TML in numerous vegetables. We report that TML, believed to be rather rare in plants as free amino acid, is, instead, ubiquitous in them and at not negligible levels. The occurrenc…

Spectrometry Mass Electrospray IonizationLysinelcsh:MedicineGene ExpressionEndogenyPlant ScienceBiologyBiosynthesisFree aminoBiochemistryFluorescenceAnalytical Chemistrychemistry.chemical_compoundBiosynthesisCarnitineChemical BiologyVegetablesGeneticsmedicineAnimalsCarnitinelcsh:ScienceBiologyProtein MetabolismNutritionMammalschemistry.chemical_classificationChromatographyChromatography Reverse-PhaseMultidisciplinaryPlant ExtractsLysinelcsh:RApplied ChemistryBiosynthetic PathwaysAmino acidChemistryProtein catabolismMetabolismBiochemistrychemistryCarnitine biosynthesisMedicinelcsh:QProtein TranslationResearch ArticleChromatography Liquidmedicine.drugPLoS ONE
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Tabula 0.3 beta

2010

The final aim of the majority of statistical analyses is to create a set of statistical tables for publication. Generally complex statistical survey reports contain a lot of tables which usually have more than two entries. In order to create tables like these, you have first to run a lot of Stata commands and to write them by hand. This process is error prone and it’s difficult to create tables with more than four entries using ordinary Stata commands. Tabula is not a Stata command but a complete software written in C++, with a user-friendly GUI. The main aims of Tabula are to automate the production of reports and to minimize human errors. It allows you to create your statistical table thr…

Stata statistical tables
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Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain

2021

Abstract Despite the overwhelming evidence that shows the persistence of intra-annual variations on demographic events (deaths, birth dates and migration flows), life tables are computed and provided on an annual basis. This paper develops a new estimator for estimating sub-annual death rates that, considering the exact moment of occurrence (exact age and day) of events, concurrently accounts for ageing and calendar fluctuations. This paper also shows how modelling the intra-annual variations of death rates, through specific seasonal–ageing indexes, can be used as a tool for constructing new sub-annual tables from annual tables. This new methodology is exemplified using a real database of S…

Statistics and ProbabilityEstimationEconomics and Econometricspension systemsUNESCO::CIENCIAS ECONÓMICASseasonal–ageing indexesSeasonalityquarterlylife tablesmedicine.disease:CIENCIAS ECONÓMICAS [UNESCO]big microdatamortality ratesAgeingmedicineEconometricsEnvironmental scienceStatistics Probability and UncertaintySocial Sciences (miscellaneous)insuranceJournal of the Royal Statistical Society Series A: Statistics in Society
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Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential election

2020

[EN] Inferring electoral individual behaviour from aggregated data is a very active research area, with ramifications in sociology and political science. A new approach based on linear programming is proposed to estimate voter transitions among parties (or candidates) between two elections. Compared to other linear and quadratic programming models previously published, our approach presents two important innovations. Firstly, it explicitly deals with new entries and exits in the election census without assuming unrealistic hypotheses, enabling a reasonable estimation of vote behaviour of young electors voting for the first time. Secondly, by exploiting the information contained in the model…

Statistics and ProbabilityFrench elections021103 operations researchPresidential electionLinear programmingESTADISTICA E INVESTIGACION OPERATIVA0211 other engineering and technologies02 engineering and technologyData application01 natural sciencesEcological inferenceR x C contingency tables010104 statistics & probabilityLinear programmingVoter transitionsEconometricsV WCDANM 2018: Advances in Computational Data Analysis0101 mathematicsStatistics Probability and Uncertainty
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Modelling residuals dependence in dynamic life tables: A geostatistical approach

2008

The problem of modelling dynamic mortality tables is considered. In this context, the influence of age on data graduation needs to be properly assessed through a dynamic model, as mortality progresses over the years. After detrending the raw data, the residuals dependence structure is analysed, by considering them as a realisation of a homogeneous Gaussian random field defined on R × R. This setting allows for the implementation of geostatistical techniques for the estimation of the dependence and further interpolation in the domain of interest. In particular, a complex form of interaction between age and time is considered, by taking into account a zonally anisotropic component embedded in…

Statistics and ProbabilityRandom fieldApplied MathematicsZonal anisotropyContext (language use)Median polishCovarianceCross-validationLee-CarterGaussian random fieldDynamic life tablesComputational MathematicsKrigingComputational Theory and MathematicsGoodness of fitKrigingStatisticsGeometric anisotropyMathematicsInterpolation
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A comparison of nonparametric methods in the graduation of mortality: Application to data from the Valencia Region (Spain)

2006

[EN] The nonparametric graduation of mortality data aims to estimate death rates by carrying out a smoothing of the crude rates obtained directly from original data. The main difference with regard to parametric models is that the assumption of an age-dependent function is unnecessary, which is advantageous when the information behind the model is unknown, as one cause of error is often the choice of an inappropriate model. This paper reviews the various alternatives and presents their application to mortality data from the Valencia Region, Spain. The comparison leads us to the conclusion that the best model is a smoothing by means of Generalised Additive Models (GAM) with splines. The most…

Statistics and ProbabilitySplinesComputer scienceMortality rateESTADISTICA E INVESTIGACION OPERATIVANonparametric statisticsFunction (mathematics)GAMLife tablesStatisticsParametric modelEconometricsRange (statistics)Kernel smootherKernel smoothingStatistics Probability and UncertaintyLOESSAdditive modelSmoothing
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Influence of Ecklonia maxima Extracts on Growth, Yield, and Postharvest Quality of Hydroponic Leaf Lettuce

2021

Ecklonia maxima is a brown algae seaweed largely harvested over the last years and used to produce alginate, animal feed, fertilizers, and plant biostimulants. Their extracts are commercially available in various forms and have been applied to many crops for their growth-promoting effects which may vary according to the treated species and doses applied. The aim of the study was to characterize the effect of adding an Ecklonia maxima commercial extract (Basfoliar Kelp

Stomatal conductanceFloating systemSeaweed extractsLactuca sativa L. var. CrispaCold storageSettore AGR/04 - Orticoltura E FloricolturaPlant ScienceHorticultureSB1-1110Ecklonia maxima<i>Lactuca sativa</i> L. var. <i>Crispa</i>leafy vegetablesWater-use efficiencyHydroponicbiologyChemistryLeafy vegetablePlant culturehydroponicsbiology.organism_classificationHydroponicsBiostimulantBrown algaebiostimulantsHorticulturePostharvestPreharvestHorticulturae
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