0000000000172377

AUTHOR

Gabriel Riutort-mayol

0000-0002-7645-4194

showing 4 related works from this author

Color degradation mapping of rock art paintings using microfading spectrometry

2021

[EN] Rock art documentation is a complex task that should be carried out in a complete, rigorous and exhaustive way, in order to take particular actions that allow stakeholders to preserve the archaeological sites under constant deterioration. The pigments used in prehistoric paintings present high light sensitivity and rigorous scientific color degradation mapping is not usually undertaken in overall archaeological sites. Microfading spectrometry is a suitable technique for determining the light-stability of pigments found in rock art paintings in a non-destructive way. Spectral data can be transformed into colorimetric information following the recommendations published by the Commission …

ArcheologyComputer scienceMaterials Science (miscellaneous)Gaussian processes02 engineering and technologyConservation01 natural sciencesSpectral dataSpectroscopyPaintingDigital camerabusiness.industry11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos seguros resilientes y sostenibles010401 analytical chemistryMicrofading Tester (MFT)Pattern recognition021001 nanoscience & nanotechnology0104 chemical sciencesArchaeologyChemistry (miscellaneous)Color changesOpen-air rock artINGENIERIA CARTOGRAFICA GEODESIA Y FOTOGRAMETRIARock artArtificial intelligence0210 nano-technologybusinessGeneral Economics Econometrics and FinanceInterpolationJournal of Cultural Heritage
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A Bayesian Multilevel Random-Effects Model for Estimating Noise in Image Sensors

2020

Sensor noise sources cause differences in the signal recorded across pixels in a single image and across multiple images. This paper presents a Bayesian approach to decomposing and characterizing the sensor noise sources involved in imaging with digital cameras. A Bayesian probabilistic model based on the (theoretical) model for noise sources in image sensing is fitted to a set of a time-series of images with different reflectance and wavelengths under controlled lighting conditions. The image sensing model is a complex model, with several interacting components dependent on reflectance and wavelength. The properties of the Bayesian approach of defining conditional dependencies among parame…

FOS: Computer and information sciencesMean squared errorC.4Computer scienceBayesian probabilityG.3ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInference02 engineering and technologyBayesian inferenceStatistics - Applications0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Electrical and Electronic EngineeringImage sensorI.4.1C.4; G.3; I.4.1Pixelbusiness.industryImage and Video Processing (eess.IV)020206 networking & telecommunicationsPattern recognitionStatistical modelElectrical Engineering and Systems Science - Image and Video ProcessingRandom effects modelNoise62P30 62P35 62F15 62J05Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Exposure to metals and metalloids among pregnant women from Spain: Levels and associated factors

2021

This study was funded by Grants from EU (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1); Spain: ISCIII (Red INMA G03/176, CB06/02/0041; FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI05/1079, PI05/1052, PI06/0867, PI06/1213, PI07/0314, PI09/00090, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI13/02187, PI14/00891, PI14/01687, PI16/1288, PI17/00663, PI18/01142 and PI19/1338; Miguel Servet FEDER MS15/00025, MS20/0006, CPII16/00051, and FIS-FSE: 17/00260); CIBERESP; Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, and UGP-15-249), AICO/2020/285, and Alicia Koplowitz Foundation 2017; Generalitat de Catalunya-CIRIT 1999SGR 00241; Department of Health…

metalloidsEnvironmental EngineeringPlacentaHealth Toxicology and Mutagenesisenvironmental exposuremetalsprenatal exposure010501 environmental sciences01 natural sciences03 medical and health sciences0302 clinical medicinePregnancyMetals HeavyPolitical sciencePrenatal exposureHumansEnvironmental ChemistryLongitudinal StudiesProspective Studies030212 general & internal medicineSocioeconomicsPrenatal exposure0105 earth and related environmental sciencesMetalloidsInfant NewbornPublic Health Environmental and Occupational HealthGeneral MedicineGeneral ChemistryEnvironmental exposureEnvironmental exposurePollution3. Good healthDietSpain13. Climate actionMetalsFemaleChristian ministryPregnant WomendietEnvironmental Monitoring
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Prenatal arsenic exposure, arsenic methylation efficiency, and neuropsychological development among preschool children in a Spanish birth cohort.

2022

Abstract Background Prenatal arsenic (As) exposure could negatively affect child neuropsychological development, but the current evidence is inconclusive. Objectives To explore the relationship between prenatal urinary total As (TAs) concentrations, the As species and the methylation efficiency, and child neuropsychological development in a Spanish birth cohort. We also studied the effect modification produced by sex and several nutrients and elements. Materials and methods Study subjects were 807 mother–child pairs participating in the INMA (Childhood and Environment) Project. Urinary TAs and its metabolites, monomethylarsonic acid (MMA), dimethylarsinic acid (DMA), inorganic As (iAs) and …

Urinary systemPhysiologychemistry.chemical_elementBiochemistryMethylationArsenicchemistry.chemical_compoundPregnancymedicineCacodylic AcidHumansChildArsenicGeneral Environmental SciencePregnancyCreatininebiologybusiness.industryNeuropsychologyMethylationVitaminsmedicine.diseaseFerritinchemistryChild Preschoolbiology.proteinBirth CohortFemalebusinessBirth cohortEnvironmental research
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