Search results for "Composition"

showing 10 items of 2675 documents

Adolescent Sport Participation and Age at Menarche in Relation to Midlife Body Composition, Bone Mineral Density, Fitness, and Physical Activity

2020

This study aimed to investigate the associations of competitive sport participation in adolescence and age at menarche (AAM) with body composition, femoral neck bone mineral density (BMD), physical performance, and physical activity (PA) in middle-aged women. 1098 women aged 47&ndash

naisetTíðir kvennakeski-ikäluuntiheyslcsh:Medicinephysical activityLíkamsástandkuukautisetAdolescent athletesBody compositionArticleÍþróttafólkPhysical performanceage at menarcheFemale athletesparasitic diseasesBone mineral densityHreyfing (heilsurækt)UnglingarBeinþéttnifemale athleteKonurkehonkoostumussuorituskykyAge at menarchebody compositionPhysical activitylcsh:RKynþroskiphysical performancemurrosikänuoruusadolescent athletebone mineral densityfyysinen aktiivisuusurheilijat
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Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women

2018

Recent studies suggest that exercise alters the gut microbiome. We determined whether six-weeks endurance exercise, without changing diet, affected the gut metagenome and systemic metabolites of overweight women. Previously sedentary overweight women (n = 19) underwent a six-weeks endurance exercise intervention, but two were excluded due to antibiotic therapy. The gut microbiota composition and functions were analyzed by 16S rRNA gene amplicon sequencing and metagenomics. Body composition was analyzed with DXA X-ray densitometer and serum metabolomics with NMR metabolomics. Total energy and energy-yielding nutrient intakes were analyzed from food records using Micro-Nutrica software. Serum…

naisetsystemic metaboliteskestävyysharjoittelusuolistomikrobistogut microbiota compositionylipainoexercise interventionaineenvaihduntagut microbiota functioncardiovascular effects
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Elemental and microbiota content in indoor and outdoor air using recuperation unit filters

2021

Detection and quantification of engineered nanomaterials in environmental systems require precise knowledge of the elemental composition, association, and ratios in homologous natural nanomaterials (NNMs). Here, we characterized soil NNMs at the single particle level using single particle-inductively coupled plasma-time of flight-mass spectrometer (SP-ICP-TOF-MS) in order to identify the elemental purity, composition, associations, and ratios within NNMs. Elements naturally present as a major constituent in NNMs such as Ti, and Fe occurred predominantly as pure/single metals, whereas elements naturally present at trace levels in NNMs occurred predominantly as impure/multi-metal NNMs such as…

natural nanomaterialsclustering analysisEnvironmental Engineering010504 meteorology & atmospheric sciencessingle particle-inductively coupled plasma-time of flight-mass spectrometer010501 environmental sciences01 natural scienceslaw.inventionToxicologylawAir PollutionEnvironmental ChemistryWaste Management and DisposalAir quality indexelemental composition and associations0105 earth and related environmental sciencesAir PollutantsMicrobiotaSuspended particlesSpecies diversityPollutionAir Pollution IndoorVentilation (architecture)Environmental sciencePolandEnvironmental MonitoringScience of The Total Environment
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Educational attainment and permanence in NEET situation among youth

2018

Using the French Labour Force Survey, this paper analyses the individual and institutional effects on the transitions into and out of NEET status before and after the crisis. In particular, we question whether the profiles or the labour market transition patterns of young people have changed since the economic crisis. The econometric results indicate that the NEET risks vary according to age, sex, educational level and social origins. They also show that the transition out of NEET status is more related to the educational attainment, after 2008. Conversely, the lack of human capital and social capital increases the retention of youth in NEET situations.

niveau d’éducationtransitions sur le marché de travailEconomic crisis[SHS.EDU]Humanities and Social Sciences/Educationeducational attainmentdecomposition techniques[SHS.EDU] Humanities and Social Sciences/Educationlabor market transitions[ SHS.EDU ] Humanities and Social Sciences/EducationNEETsCrise économiqueméthodes de décomposition
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It takes time to see the menu from the body: an experiment on stable isotope composition in freshwater crayfishes

2015

For many applications and ecological studies in which wild individuals are brought to laboratory it would be essential to know accurately how fast novel diet is reflected in composition of different tissues. To study the effects of two different diets on the stable isotope composition of freshwater crayfish muscle and hemolymph, we conducted a three month experiment on noble crayfish (Astacus astacus) and signal crayfish (Pacifastacus leniusculus) by feeding them sweet corn (Zea mays) or Baltic herring (Clupea harengus membras) as novel food. During the experiment, the crayfish were given 0.4 g of selected food daily and the amount consumed was recorded. The samples for the stable isotope a…

noble crayfishta1172ZoologyManagement Monitoring Policy and LawAquatic SciencePacifastacusSignal crayfishlcsh:Aquaculture. Fisheries. AnglingravintoHerringHemolymphkehonkoostumusNature and Landscape ConservationWater Science and Technologylcsh:SH1-691body compositionAstacusEcologybiologyStable isotope ratioEcologymusculoskeletal neural and ocular physiologyfungiClupeabiology.organism_classificationCrayfishnutritionnervous systemta1181signal crayfishtissue anabolismKnowledge and Management of Aquatic Ecosystems
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Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

nonlinear dynamicComputer scienceReliability (computer networking)Biomedical signal processingPhysiologyCardiovascular controldynamical systemdirectionalityGranger causalitymultivariate regression modelingtime series analysiPredictabilityTime seriesElectrical and Electronic EngineeringStatistical hypothesis testingbusiness.industryheart rate variabilitytransfer entropypartial directed coherencepredictioncoupling strengthCausalityconditional mutual informationFrequency domainspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomplexityNeuroscience
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Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition

2018

Background Preprocessed Event-related potential (ERP) data are usually organized in multi-way tensor, in which tensor decomposition serves as a powerful tool for data processing. Due to the limitation of computation burden for multi-way data and the low algorithm performance of stability and efficiency, multi-way ERP data are conventionally reorganized into low-order tensor or matrix before further analysis. However, the reorganization may hamper mode specification and spoil the interaction information among different modes. New method In this study, we applied a fifth-order tensor decomposition to a set of fifth-order ERP data collected by exerting proprioceptive stimulus on left and right…

nonnegative tensor decompositionevent-related potentialmulti-mode featuresCANDECOMP/PARAFACsignaalinkäsittelycomponent number selectionEEG
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A note on normalization schemes: The case of generalized forecast error variance decompositions

2016

The aim of this paper is to propose new normalization schemes for the values obtained from the generalized forecast error variance decomposition, in order to obtain more reliable net spillover measures. We provide a review of various matrix normalization schemes used in different application domains. The intention is to contribute to the financial econometrics literature aimed at building a bridge between different approaches able to detect spillover effects, such as spatial regressions and network analyses. Considering DGPs characterized by different degrees of correlation and persistence, we show that the popular row normalization scheme proposed by Diebold and Yilmaz (2012), as well as t…

normalization schemes forecast error variance decomposition spillover networks spatial econometrics VARspatial econometricsspillovernetworksSettore SECS-P/05 - Econometrianormalization schemes forecast error variance decomposition spillover networksforecast error variance decompositionVARnormalization schemes
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Nudge for justice : An ERP investigation of default effects on trade-offs between equity and efficiency

2020

Default options are an increasingly common tool used by organizations, managers, and policymakers to guide individuals’ behavior. We wondered whether the known preference for default options could constitute a nudge to achieve more equitable or more efficient results. Combining with event-related potentials, we found that both the default option and distributive justice contributed significantly to decision-making. The N200s and P300s were extracted using the tensor decomposition, which showed superiority in terms of capturing multi-domain features. The results demonstrated that greater brain activity associated with conflict monitoring was elicited in the trade-off between equity and effic…

nudgeneuropsykologiadefault effectjakautuminentehokkuuspäätöksentekoparadigmatoletusarvotequitytasa-arvohypoteesittensor decompositionkäyttäytymisanalyysiefficiencydistributive justiceaivot
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Nutrient sensing: What can we learn from different tastes about the nutrient contents in today's foods?

2019

Abstract Tastes are often described as having a nutrient-signaling function eliciting expectations about the food and its nutrient content. The objectives of this work was to investigate correlations between taste intensity and nutrient content, to evaluate the impact of competing tastes on these relationships, and to know if the content in certain nutrients could be inferred from a combination of tastes. The Food Taste Database (Martin et al., 2014) and a French Food Composition table (ANSES-Ciqual) were used to obtain a dataset combining sensory and nutritional information for 365 foods. Our results confirm the existence of several taste-nutrient relationships previously suggested by othe…

nutrient sensingTaste030309 nutrition & dieteticsUmamiNutrient sensing03 medical and health sciences0404 agricultural biotechnologyNutrientFood sciencefood taste data baseMathematics0303 health sciencesnutrient contentNutrition and Dieteticsbusiness.industryFood composition dataSweet taste04 agricultural and veterinary sciences040401 food sciencetaste intensityTaste intensityFood processingrelationshipbusiness[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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