Search results for "Tables"

showing 10 items of 324 documents

Protection by beverages, fruits, vegetables, herbs, and flavonoids against genotoxicity of 2-acetylaminofluorene and 2-amino-1-methyl-6-phenylimidazo…

2002

Abstract Chinese hamster lung fibroblasts, genetically engineered for the expression of rat cytochrome P450 dependent monooxygenase 1A2 and rat sulfotransferase 1C1 (V79-rCYP1A2-rSULT1C1 cells), were utilized to check for possible protective effects of beverages of plant origin, fruits, vegetables, and spices against genotoxicity induced by 2-acetylaminofluorene (AAF) or 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP). Antigenotoxic activities of juices from spinach and red beets against AAF could be monitored with similar effectivity by the HPRT-mutagenicity test (IC50=0.64%; 2.57%) and alkaline single cell gel electrophoresis (comet assay; IC50=0.12%; 0.89%) which detects DNA stran…

Hypoxanthine PhosphoribosyltransferaseHealth Toxicology and Mutagenesismedicine.disease_causeCell LineBeverageschemistry.chemical_compoundCricetulusCytochrome P-450 CYP1A2CricetinaeVegetablesGeneticsmedicineAnimalsWineFlavonoids2-Amino-1-methyl-6-phenylimidazo(45-b)pyridinePlants MedicinalbiologyMutagenicity TestsImidazolesfood and beveragesAntimutagenic AgentsMonooxygenase2-AcetylaminofluoreneFibroblastsbiology.organism_classificationRecombinant ProteinsRatsComet assayBiochemistrychemistryWhite WineFruitFlavanonesSpinachQuercetin2-AcetylaminofluoreneComet AssaySulfotransferasesGenotoxicityMutagensMutation research
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Determination of pesticide residues in fruit and vegetables.

1996

A review concerning the determination of pesticide residues in fruit and vegetables is presented. The basic principles and recent developments in the extraction and quantitation of pesticides are discussed. Consideration is given to solid phase and supercritical extraction techniques, automation and robotic systems, and immunoassay procedures.

ImmunoassayResidue (complex analysis)ChromatographyChromatographyPesticide residueEnvironmental analysisChemistryOrganic ChemistryExtraction (chemistry)Supercritical fluid extractionPesticide ResiduesFood ContaminationGeneral MedicinePesticideBiochemistryAnalytical ChemistryFruitVegetablesSupercritical fluid chromatographySpectrophotometry UltravioletSolid phase extractionJournal of chromatography. A
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Modelling and forecasting mortality in Spain

2008

[EN] Experience shows that static life tables overestimate death probabilities. As a consequence of this overestimation the premiums for annuities, pensions and life insurance are not what they actually should be, with negative effects for insurance companies or policy-holders. The reason for this overestimation is that static life tables, through being computed for a specific period of time, cannot take into account the decreasing mortality trend over time. Dynamic life tables overcome this problem by incorporating the influence of the calendar when graduating mortality. Recent papers on the topic look for the development of new methods to deal with this dynamism. Most methods used in dyna…

Information Systems and ManagementLee–CarterGeneral Computer ScienceESTADISTICA E INVESTIGACION OPERATIVAManagement Science and Operations ResearchLee carterIndustrial and Manufacturing EngineeringDynamic life tablesMortality dataModeling and SimulationLife insuranceEconomicsEconometricsStatistical analysisDynamismBootstrap confidence intervalParametric statisticsForecastingBootstrap confidence intervals
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Understanding the shortcomings of commodity-based technology in input-output models: an economic-circuit approach

2004

International audience; The Make-Use Model serves as a basis for most national accounting systems as the System of National Accounts (SNA) and is acknowledged as the most suitable model for interregional analysis. Two hypotheses are traditionally made featuring either industry-based technologies (IBT) or commodity-based technologies (CBT). While industry-based technologies can be easily interpreted in terms of a demand-driven economic circuit, it will be shown that: (1) commodity-based technologies cannot be interpreted as a demand-driven economic circuit because this involves computing the inverse of a matrix (the matrix of industry output proportions), which is either impossible or genera…

Input/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsBasis (linear algebra)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsInput–output modelComputer scienceNational accountsMatrix (music)Environmental Science (miscellaneous)DevelopmentJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[SHS.ECO]Humanities and Social Sciences/Economics and Financemathematical economicsIndustrial engineeringinput-output analysisdemand (economic theory)JEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceCommodity (Marxism)Axiom
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Determination of urea-derived pesticides in fruits and vegetables by solid-phase preconcentration and capillary electrophoresis

2001

A multiresidue analytical method based on solid-phase extraction (SPE) enrichment combined with capillary electrophoresis (CE), using micellar electrokinetic capillary chromatography (MEKC), was developed to determine ten substituted urea pesticides in orange and tomato samples. Several factors such as pH, composition and concentration of the buffer, concentration of surfactant, addition of organic solvent, and working voltage were optimized to obtain the best compound separation in the shortest time. Separation can be achieved in 7 min using a micellar aqueous pH 9 buffer composed of 4 mM borate and 35 mM sodium dodecyl sulfate. After an SPE procedure, which provided a 10-fold enrichment, …

InsecticidesClinical BiochemistryFood ContaminationBiochemistryMicellar electrokinetic chromatographyAnalytical Chemistrychemistry.chemical_compoundCapillary electrophoresisVegetablesUreamedia_common.cataloged_instanceSolid phase extractionPesticidesSodium dodecyl sulfateEuropean unionMicellesmedia_commonDetection limitChromatographyAqueous solutionHerbicidesMethanolElectrophoresis CapillarySodium Dodecyl SulfatechemistryFruitEnrichment factorELECTROPHORESIS
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Uptake and bioavailability of persistant organic pollutants by plants grown in contaminated soil

2005

This paper assesses the uptake of persistent organic pollutants (POP's) into plants. In particular, uptake of alpha-endosulfan, beta-endosulfan and endosulfan sulfate from lettuce. The lettuce plants were grown on compost that had previously been contaminated at 10 and 50 microg g(-1) per POP. The soil was slurry spiked by adding the appropriate amount of POP in acetone in an approximate ratio of 1 ratio 2, w/v soil ratio solvent. The solvent was left to evaporate at ambient temperature for 24 hours. Lettuce plants were grown under artificial daylight for 12 hours a day. The influence of soil ageing on the recovery of POP's from spiked soil samples was also assessed. The average recovery of…

InsecticidesSoil testBiological AvailabilityManagement Monitoring Policy and Lawengineering.materialModels BiologicalIntestinal absorptionSoilchemistry.chemical_compoundVegetablesSoil PollutantsEndosulfanCompostExtraction (chemistry)Public Health Environmental and Occupational HealthGeneral MedicineLettuceSoil contaminationC900BioavailabilityIntestinal AbsorptionchemistryEnvironmental chemistryengineeringSlurryDigestionEndosulfanEnvironmental Monitoring
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Assessment of Organochlorine Pesticide Residues in West African City Farms: Banjul and Dakar Case Study

2003

Validated analytical procedures for the determination of 21 organochlorine pesticides have been applied to 74 water samples, 76 soil samples, and 160 vegetable samples from nine Sene-Gambian farms. Mean pesticide residue levels found were compared to the results of other studies. The main contaminants were DDTs in water (231.9 ng/L), in soil (71.4 ng/g), and in vegetables (5.03 ng/g). The distribution of pesticide residues in water and neighboring soils and the soil-plant transfer of these pesticides is briefly discussed. Different bioconcentration factors for sum HCHs, sum DDTs, and sum endosulfans obtained in this study allow us to confirm the complex processes already reported in the lit…

InsecticidesSoil testHealth Toxicology and MutagenesisFood ContaminationBioconcentrationToxicologyDDTchemistry.chemical_compoundWater SupplyEnvironmental protectionVegetablesSoil PollutantsCitiesWater pollutionEndosulfanPesticide residuePesticide ResiduesAgricultureGeneral MedicinePesticidePollutionSoil contaminationSenegalchemistryEnvironmental chemistrySoil waterEnvironmental scienceGambiaHexachlorocyclohexaneEnvironmental MonitoringArchives of Environmental Contamination and Toxicology
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Volatile constituents of aerial parts of two Mediterranean species of Inula: Inula crithmoides L. and I. verbascifolia (Willd.) Hausskn. (Asteraceae)

2014

Inula crithmoides L. grows along the Mediterranean coasts and is used as an edible vegetable as the young leaves or shoots are eaten raw, cooked or pickled. Inula verbascifolia (Willd.) Hausskn. is a quite localised species growing mainly along the Adriatic Sea coasts. In this study the volatile components of the aerial part of both species are described. Gas chromatography and gas chromatography mass spectrometry analysis showed the presence of 41 components in I. crithmoides and 75 compounds in I. verbascifolia, respectively, and a very different profile in the composition of the two species. The chemotaxonomy of I. crithmoides, by comparison with other data reported in the literature, is…

Inula crithmoidesMediterranean climateInula crithmoidePlant ScienceAsteraceaeBiochemistryGas Chromatography-Mass Spectrometryessential oilAnalytical ChemistryBotanyVegetablesOils VolatileInulabiologyMediterranean RegionOrganic ChemistrySettore CHIM/06 - Chimica OrganicaAsteraceaebiology.organism_classificationchemotaxonomyItalyChemotaxonomyShootGas chromatographyInulaInula verbascifoliaGas chromatography–mass spectrometry
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Biproportional Methods And Interindustry Dynamics: The Case of Energy in France

1996

JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL : Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q43 - Energy and the MacroeconomyJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q43 - Energy and the MacroeconomyJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Dynamique de la structure industrielle française

1990

JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C61 - Optimization Techniques • Programming Models • Dynamic AnalysisJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL: L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change • Industrial Price IndicesJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C61 - Optimization Techniques • Programming Models • Dynamic Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisJEL : L - Industrial Organization/L.L1 - Market Structure Firm Strategy and Market Performance/L.L1.L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change • Industrial Price Indices[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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