Search results for "Parameters"

showing 10 items of 13273 documents

Flavor release from food emulsions varying in their composition in fat and proteins and its effect on flavor perception

2008

International audience; Model food emulsions were produced with two different types of fat and two batches of proteins. Aroma release of three compounds was studied by solid-phase microextraction in function of the temperature, in parallel with time intensity evaluation of the fruity perception. Time intensity showed that partially hydrogenated palm kernel oil instead of anhydrous milk fat led to a higher intensity and longer duration of the fruity perception. Furthermore, an effect of the nature of protein was observed only with partially hydrogenated palm kernel oil. The effect of the nature of fat on aroma perception was explained by the physicochemical data on aroma release. The effect …

MODELgenetic structures[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV.IDA]Life Sciences [q-bio]/Food engineeringfood and beverages[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringsense organs[SDV.IDA] Life Sciences [q-bio]/Food engineeringPARAMETERS
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Comparison of line-by-line and band models of near-IR methane absorption applied to outer planet atmospheres

2012

Import OPTIWOS; International audience; Recent improvements in high spectral resolution measurements of methane absorption at wavenumbers between 4800 cm(-1) and 7919 cm(-1) have greatly increased the number of lines with known lower state energies, the number of weak lines, and the number of lines observed at low temperatures (Campargue, A., Wang, L, Kassi, S., Masat, M., Votava, O. [2010]. J. Quant. Spectrosc. Radiat. Trans. 111, 1141-1151; Campargue, A., Wang, L, Liu, A.W., Hu, S.M., Kassi, S. [2010]. Chem. Phys. 373, 203-210; Mondelain, D., Kassi, S., Wang, L.C. [2011]. Phys. Chem. Chem. Phys. 13, 7985-7996; Nikitin, A.V. et al. [2011a]. J. Mol. Spectrosc. 268, 93-106; Nikitin, A.V. et …

MOLECULAR SPECTROSCOPIC DATABASE010504 meteorology & atmospheric sciences[PHYS.ASTR.EP]Physics [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP][SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]Astrophysics01 natural sciencesSpectral linePARAMETERSINFRARED-SPECTROSCOPYREGIONJupiterSaturn0103 physical sciencesRadiative transferSpectral resolutionSpectroscopy010303 astronomy & astrophysicsCLOUD STRUCTURE0105 earth and related environmental sciencesLine (formation)Physics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]UranusAstronomy and Astrophysics[ SDU.ASTR.EP ] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]9500 CM(-1)M TRANSPARENCY WINDOWOCCULTATION MEASUREMENTS[ PHYS.ASTR.EP ] Physics [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]TEMPERATURE-DEPENDENCE13. Climate actionSpace and Planetary ScienceURANUS
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Magnetic characteristics of industrial dust from different sources of emission: A case study of Poland

2015

Abstract Dust emission and deposition in topsoil have negative effect on individual components of the ecosystem. In addition to routine geochemical analyses, magnetic measurements may provide useful complementary information related to the type, concentration and grain-size distribution of the technogenic magnetic particles (TMPs) and thus the degree of contamination of the environment. The aim of this contribution is to use magnetic parameters in distinguishing dust from a wide range of sources of air pollution (power industry, cement, coke, ceramic industries and biomass combustion). We measured magnetic susceptibility, hysteresis parameters and thermomagnetic curves. Our results suggest …

MaghemiteMineralogyThermomagnetic convectionengineering.materialHematiteCombustionMagnetic susceptibilitychemistry.chemical_compoundGeophysicsDeposition (aerosol physics)chemistryvisual_artengineeringvisual_art.visual_art_mediumMagnetic susceptibility; Hysteresis parameters; Industrial dusts; Technogenic magnetic particles; Iron oxidesEnvironmental scienceMagnetic nanoparticlesMagnetiteJournal of Applied Geophysics
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Modelling and Identification of Mg(OH)2 precipitation kinetics from highly concentrated Mg2+ solutions

Magnesium hydroxideKinetics parameters estimationSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciPopulation balance modelling
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Crystal structure and magnetism of Co(HPO3)⋅H2O : A novel layered compound of Co(II)

1990

Under the terms of the Creative Commons Attribution (CC BY) license to their work.-- et al.

Magnetic PropertiesMagnetismGeneral Physics and AstronomyCrystal structureMagnetic Susceptibility:FÍSICA [UNESCO]HydratesMedium TemperatureMagnetic structureChemistryCritical ExponentsUNESCO::FÍSICASpace groupHydrogen BondsMagnetic susceptibilityCobalt Compounds ; Acid Phosphates ; Hydrates ; Layers ; Crystal Structure ; Magnetic Properties ; Lattice Parameters ; Space Groups ; Hydrogen Bonds ; Magnetic Susceptibility ; Magnetic Structure ; Critical Exponents ; Ising Model ; Medium TemperatureCrystallographySpace GroupsIsing ModelOctahedronAcid PhosphatesCrystal StructureLattice ParametersIsing modelMagnetic StructureCobalt CompoundsLayersCritical exponent
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Gender as a Modifying Factor Influencing Myotonic Dystrophy Type 1 Phenotype Severity and Mortality: A Nationwide Multiple Databases Cross-Sectional …

2016

International audience; BACKGROUND: Myotonic Dystrophy type 1 (DM1) is one of the most heterogeneous hereditary disease in terms of age of onset, clinical manifestations, and severity, challenging both medical management and clinical trials. The CTG expansion size is the main factor determining the age of onset although no factor can finely predict phenotype and prognosis. Differences between males and females have not been specifically reported. Our aim is to study gender impact on DM1 phenotype and severity.METHODS: We first performed cross-sectional analysis of main multiorgan clinical parameters in 1409 adult DM1 patients (\textgreater18y) from the DM-Scope nationwide registry and obser…

Male0301 basic medicineDatabases FactualPhysiologyCross-sectional studyMyotonic dystrophylcsh:MedicineDiseasecomputer.software_genreinfo:eu-repo/classification/mesh/Socioeconomic FactorsLaryngologyinfo:eu-repo/classification/mesh/Myotonic Dystrophy/epidemiology*0302 clinical medicineMedicine and Health SciencesEthnicitiesMedicineinfo:eu-repo/classification/mesh/FemaleFrench Peoplelcsh:Scienceinfo:eu-repo/classification/mesh/Adulteducation.field_of_studyMultidisciplinaryinfo:eu-repo/classification/mesh/Factual*Death ratesDatabaseCognitive NeurologyMortality rateDysphagia3. Good healthPhenotypeCognitive impairmentNeurologyPhysiological ParametersFemaleinfo:eu-repo/classification/mesh/Databasesinfo:eu-repo/classification/mesh/MaleResearch ArticleAdultMaternal inheritanceCognitive NeurosciencePopulation[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human geneticsMyotonic dystrophy03 medical and health sciencesPopulation MetricsAdultsHumansObesitySex DistributioneducationDemographyinfo:eu-repo/classification/mesh/Cross-Sectional StudiesPopulation BiologyCataractsbusiness.industrylcsh:RBody WeightBiology and Life Sciencesmedicine.diseaseMyotoniaThyroid disorderinfo:eu-repo/classification/mesh/Sex DistributionHealth CareOphthalmologyCross-Sectional Studies030104 developmental biologyOtorhinolaryngologySocioeconomic Factors[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsAge Groups[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieLens DisordersPeople and Placesinfo:eu-repo/classification/mesh/Myotonic Dystrophy/mortalityCognitive Sciencelcsh:QPopulation Groupings[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieHealth StatisticsMorbidityAge of onsetbusinessinfo:eu-repo/classification/mesh/Phenotype*computerinfo:eu-repo/classification/mesh/Humans030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Fibroblast Growth Factor 21 (FGF21) Protects against High Fat Diet Induced Inflammation and Islet Hyperplasia in Pancreas

2015

Fibroblast growth factor 21 (FGF21) is an important endocrine metabolic regulator expressed in multiple tissues including liver and adipose tissue. Although highest levels of expression are in pancreas, little is known about the function of FGF21 in this tissue. In order to understand the physiology of FGF21 in the pancreas, we analyzed its expression and regulation in both acinar and islet tissues. We found that acinar tissue express 20-fold higher levels than that observed in islets. We also observed that pancreatic FGF21 is nutritionally regulated; a marked reduction in FGF21 expression was noted with fasting while obesity is associated with 3–4 fold higher expression. Acinar and islet c…

Male0301 basic medicineFGF21Fibroblast Growth FactorPhysiologyReceptors Antigen T-Cell alpha-betaPeptide Hormoneslcsh:MedicineAdipose tissueAcinar CellsPathology and Laboratory MedicineBiochemistryFatsMiceEndocrinologyMedicine and Health SciencesInsulinlcsh:ScienceImmune ResponseMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3Multidisciplinarygeography.geographical_feature_categoryFOXP3Forkhead Transcription FactorsFastingHyperplasiaIsletLipidsmedicine.anatomical_structurePhysiological ParametersOrgan SpecificityTumor necrosis factor alphaAnatomymedicine.symptomPancreasSignal TransductionResearch Articlemedicine.medical_specialtyImmunologyEndocrine SystemInflammationBiologyDiet High-FatInterferon-gammaIslets of Langerhans03 medical and health sciencesExocrine GlandsSigns and SymptomsGrowth FactorsInternal medicinemedicineAnimalsObesityPancreasNutritionInflammationDiabetic EndocrinologygeographyHyperplasiaEndocrine PhysiologyTumor Necrosis Factor-alphaBody Weightlcsh:RBiology and Life SciencesGlucagonmedicine.diseaseDietary FatsHormonesDietFibroblast Growth FactorsMice Inbred C57BL030104 developmental biologyEndocrinologyGene Expression RegulationPancreatitisThy-1 Antigenslcsh:QPLOS ONE
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Genomic and Metabolomic Profile Associated to Clustering of Cardio-Metabolic Risk Factors

2016

Background To identify metabolomic and genomic markers associated with the presence of clustering of cardiometabolic risk factors (CMRFs) from a general population. Methods and Findings One thousand five hundred and two subjects, Caucasian, > 18 years, representative of the general population, were included. Blood pressure measurement, anthropometric parameters and metabolic markers were measured. Subjects were grouped according the number of CMRFs (Group 1: <2; Group 2: 2; Group 3: 3 or more CMRFs). Using SNPlex, 1251 SNPs potentially associated to clustering of three or more CMRFs were analyzed. Serum metabolomic profile was assessed by 1H NMR spectra using a Brucker Advance DRX 600 spect…

Male0301 basic medicineHeredityPhysiologylcsh:MedicinePhysiologyBlood Pressure030204 cardiovascular system & hematologyBioinformaticsBiochemistry0302 clinical medicineGlucose MetabolismRisk FactorsPolymorphism (computer science)GenotypeMedicine and Health SciencesMetaboliteslcsh:Scienceeducation.field_of_studyMultidisciplinaryFatty AcidsGenomicsMiddle AgedLipidsGenetic MappingPhysiological ParametersCardiovascular DiseasesPhysical SciencesCarbohydrate MetabolismResearch ArticleAdultGenetic MarkersGenotypePermutationFADS2PopulationVariant GenotypesSingle-nucleotide polymorphismBiologyPolymorphism Single Nucleotide03 medical and health sciencesMetabolomicsMetabolic DiseasesGeneticsmedicineHumansMetabolomicsGenetic Predisposition to DiseaseObesityeducationGenotypingAgedDiscrete Mathematicslcsh:RBody WeightBiology and Life SciencesLipid Metabolismmedicine.diseaseObesityMetabolism030104 developmental biologyCombinatoricslcsh:QMathematicsPLOS ONE
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Differential models of twin correlations in skew for body-mass index (BMI)

2018

Background Body Mass Index (BMI), like most human phenotypes, is substantially heritable. However, BMI is not normally distributed; the skew appears to be structural, and increases as a function of age. Moreover, twin correlations for BMI commonly violate the assumptions of the most common variety of the classical twin model, with the MZ twin correlation greater than twice the DZ correlation. This study aimed to decompose twin correlations for BMI using more general skew-t distributions. Methods Same sex MZ and DZ twin pairs (N = 7,086) from the community-based Washington State Twin Registry were included. We used latent profile analysis (LPA) to decompose twin correlations for BMI into mul…

Male0301 basic medicinePhysiologyEntropyTwinsNormal Distributionlcsh:MedicineOverweight01 natural sciencesBody Mass IndexCorrelation010104 statistics & probabilityStatisticsTwins DizygoticMedicine and Health SciencesMixture distributionRegistrieslcsh:Science10. No inequalityMathematics2. Zero hungerMultidisciplinaryPhysicsMiddle AgedPhenotypePhysiological ParametersPhysical SciencesThermodynamicsFemalemedicine.symptomResearch ArticleStatistical DistributionsAdultMaterials by StructureMaterials ScienceSkewnessNormal distribution03 medical and health sciencesmedicineHumansObesity0101 mathematicsModels Geneticlcsh:RBody WeightBiology and Life SciencesTwins MonozygoticOverweightProbability TheoryProbability DistributionMixture modelTwin study030104 developmental biologySkewnessMixtureslcsh:QBody mass indexMathematicsDevelopmental BiologyPLOS ONE
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The desert gerbil Psammomys obesus as a model for metformin-sensitive nutritional type 2 diabetes to protect hepatocellular metabolic damage: Impact …

2017

Introduction While metformin (MET) is the most widely prescribed antidiabetic drug worldwide, its beneficial effects in Psammomys obesus (P. obesus), a rodent model that mimics most of the metabolic features of human diabetes, have not been explored thoroughly. Here, we sought to investigate whether MET might improve insulin sensitivity, glucose homeostasis, lipid profile as well as cellular redox and energy balance in P. obesus maintained on a high energy diet (HED). Materials and methods P. obesus gerbils were randomly assigned to receive either a natural diet (ND) consisting of halophytic plants (control group) or a HED (diabetic group) for a period of 24 weeks. MET (50 mg/kg per os) was…

Male0301 basic medicinePhysiologymedicine.medical_treatment[SDV]Life Sciences [q-bio]Body-WeightRespiratory chainlcsh:MedicineMitochondria LiverBiochemistrychemistry.chemical_compoundLiver Parenchymal-CellsEndocrinologyGlucose MetabolismAnimal CellsKetogenesisMedicine and Health SciencesElectrochemistryGlucose homeostasisGut Microbiotalcsh:ScienceEnergy-Producing OrganellesComputingMilieux_MISCELLANEOUS2. Zero hungerMultidisciplinaryOrganic CompoundsMonosaccharidesFatty AcidsChemical ReactionsLipidsMetforminMitochondria3. Good healthChemistryPhysiological ParametersLiverPhysical SciencesCarbohydrate MetabolismCellular Structures and OrganellesCellular TypesAnatomyOxidation-ReductionResearch Articlemedicine.medical_specialtyIsolated Rat HepatocytesEndocrine DisordersCarbohydratesBioenergeticsBiologyCarbohydrate metabolism03 medical and health sciencesInsulin resistanceInternal medicineFood-IntakeDiabetes MellitusmedicineAnimalsHypoglycemic AgentsObesityRespiratory-Chain[ SDV ] Life Sciences [q-bio]Fatty acid metabolismInsulinBody WeightOrganic Chemistrylcsh:RChemical CompoundsGluconeogenesisBiology and Life SciencesCell Biologymedicine.diseaseGlucose-6-Phosphate HydrolysisDisease Models AnimalGlucoseMetabolism030104 developmental biologyEndocrinologyDiabetes Mellitus Type 2GluconeogenesischemistryMetabolic DisordersHepatocyteslcsh:QInsulin ResistanceGerbillinaeGlucose-ProductionFatty-Acid-MetabolismOxidation-Reduction Reactions
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