Search results for "algorithm."

showing 10 items of 4617 documents

Congenital anomalies from a physics perspective. The key role of "manufacturing" volatility

2020

Genetic and environmental factors are traditionally seen as the sole causes of congenital anomalies. In this paper we introduce a third possible cause, namely random "manufacturing" discrepancies with respect to ``design'' values. A clear way to demonstrate the existence of this component is to ``shut'' the two others and to see whether or not there is remaining variability. Perfect clones raised under well controlled laboratory conditions fulfill the conditions for such a test. Carried out for four different species, the test reveals a variability remainder of the order of 10%-20% in terms of coefficient of variation. As an example, the CV of the volume of E.coli bacteria immediately after…

[PHYS]Physics [physics]Statistics and ProbabilityMortality ratePerspective (graphical)FOS: Physical sciencesCongenital malformationsCondensed Matter Physics01 natural sciencesQuantitative Biology - Quantitative MethodsInfant mortality[PHYS] Physics [physics]010305 fluids & plasmasTurn offBiological Physics (physics.bio-ph)FOS: Biological sciences0103 physical sciencesStatisticsMutation (genetic algorithm)Physics - Biological PhysicsVolatility (finance)010306 general physicsEarly phaseQuantitative Methods (q-bio.QM)
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Typology of exogenous organic matters based on chemical and biochemical composition to predict potential nitrogen mineralization

2010

Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization during incubation of soil–EOM mixtures in controlled conditions. Multiple factor analysis and hierarchical classification were performed to gather EOMs with similar composition and N mineralization behavior. A typology was then defined using composition criteria to predict potential N mineralization. Six classes of EOM potential N mineralization in soil were defined, from high potential N minerali…

[SDV.BIO]Life Sciences [q-bio]/Biotechnologygenetic structures010501 environmental sciences01 natural sciencesMinéralisationBiochemical compositionOrganic ChemicalsWaste Management and DisposalHigh potentialhttp://aims.fao.org/aos/agrovoc/c_35657chemistry.chemical_classificationMineralsChemistry04 agricultural and veterinary sciencesGeneral MedicineComposition chimiqueClassificationhierarchical classificationDisponibilité d'élément nutritifCycle de l'azoteEnvironmental chemistryhttp://aims.fao.org/aos/agrovoc/c_5193http://aims.fao.org/aos/agrovoc/c_1794AlgorithmsP33 - Chimie et physique du solBiochemical fractionationEnvironmental EngineeringNitrogenhttp://aims.fao.org/aos/agrovoc/c_7170Mineralogybiochemical fractionationBioengineeringhttp://aims.fao.org/aos/agrovoc/c_27938FractionationTeneur en azoten mineralizationMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_5268Fertilité du solMultiple factor analysisOrganic matterComputer SimulationNitrogen cycle0105 earth and related environmental sciencesRenewable Energy Sustainability and the EnvironmentP35 - Fertilité du sol[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyMineralization (soil science)eye diseasesAmendement organiqueModels Chemical040103 agronomy & agriculture0401 agriculture forestry and fisheriessense organsexogenous organic mattertypologyhttp://aims.fao.org/aos/agrovoc/c_12965http://aims.fao.org/aos/agrovoc/c_1653http://aims.fao.org/aos/agrovoc/c_15999F04 - Fertilisation
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Analysis of fluorescent MRI contrast agent behavior in the liver and thoracic aorta of mice.

2004

To characterize the behavior of magnetofluorescent products injected in mice intravenously.The magnetic resonance imaging (MRI) products were labelled with fluorescent molecules to examine the biodistribution process in vivo and observe them at the cellular level by means of confocal microscopy. Three-dimensional (3D) sequences of images were obtained by spectral analysis of sample preparations in a multiphoton confocal microscope and analyzed by the factor analysis of medical image sequence algorithm, which provides factor curves. Factor images are the result of image-processing methods that utilize information from emission spectra. Preparations are also screened in the counting mode to p…

[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingContrast MediaAorta ThoracicMiceMESH : Image CytometryMESH: Microscopy ConfocalMESH : FemaleMESH : Fluorescent DyesMESH: AnimalsMESH : Algorithms[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaginghealth care economics and organizationsImage CytometryMice Inbred BALB CMicroscopy ConfocalMESH: Fluorescent DyesMESH: Staining and LabelingLiverMESH : MeglumineFemaleMESH : Organometallic CompoundsAlgorithmsMESH: Aorta ThoraciceducationMESH: Mice Inbred BALB CMESH: AlgorithmsMESH: MeglumineMESH : Staining and LabelingMeglumineMESH: Contrast MediaMESH : MiceOrganometallic CompoundsAnimalsMESH : Microscopy ConfocalMESH: MiceMESH : Mice Inbred BALB CFluorescent DyesMESH : Aorta ThoracicMESH : Contrast MediaStaining and LabelingMESH : LiverMESH: Organometallic CompoundsMESH : Xanthenes[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/ImagingXanthenesMESH: XanthenesMESH : AnimalsMESH: FemaleMESH: Image CytometryMESH: Liver
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Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Reson…

2015

International audience; This work aimed at combining different segmentation approaches to produce a robust and accurate segmentation result. Three to five segmentation results of the left ventricle were combined using the STAPLE algorithm and the reliability of the resulting segmentation was evaluated in comparison with the result of each individual segmentation method. This comparison was performed using a supervised approach based on a reference method. Then, we used an unsupervised statistical evaluation, the extended Regression Without Truth (eRWT) that ranks different methods according to their accuracy in estimating a specific bio-marker in a population. The segmentation accuracy was …

[SDV.IB] Life Sciences [q-bio]/Bioengineeringlcsh:RMagnetic Resonance Imaging CineReproducibility of Resultslcsh:MedicineStroke VolumeImage EnhancementVentricular Function LeftPattern Recognition AutomatedImage Interpretation Computer-AssistedHumanslcsh:Q[SDV.IB]Life Sciences [q-bio]/Bioengineering[ SDV.IB ] Life Sciences [q-bio]/Bioengineeringlcsh:ScienceAlgorithmsResearch Article
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The Mistigri Thermal Infrared Project: Scientific Objectives And Mission Specifications

2013

ISI Document Delivery No.: 147NI Times Cited: 4 Cited Reference Count: 117 Cited References: Abrams M, 2000, INT J REMOTE SENS, V21, P847, DOI 10.1080/014311600210326 Agam N, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008407 Allen RG, 2007, J IRRIG DRAIN E-ASCE, V133, P380, DOI 10.1061/(ASCE)0733-9437(2007)133:4(380) Alletto L, 2006, CHEMOSPHERE, V64, P1053, DOI 10.1016/j.chemosphere.2005.12.004 Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859 Baschek B., 2010, 2010 OC SCI M PORTL Bastiaanssen WGM, 1998, J HYDROL, V212, P198, DOI 10.1016/S0022-1694(98)00253-4 Bastiaanssen WGM, 2005, J IRRIG DRAIN E-ASCE, V131, P85, DOI 10.1061/(ASCE)0733-9437(2005)131:1(85) Beck LR, 2…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesEngineeringDATA010504 meteorology & atmospheric sciencesLand surface temperature[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]media_common.quotation_subject[SDE.MCG]Environmental Sciences/Global Changes0211 other engineering and technologies[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyClimate change02 engineering and technologyURBAN01 natural sciencesLAND-SURFACE TEMPERATUREOriginalityAgency (sociology)CALIFORNIA CURRENT SYSTEMUrban heat islandArchitecture[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_common[SDV.EE]Life Sciences [q-bio]/Ecology environmentThermal infraredbusiness.industry[SDE.IE]Environmental Sciences/Environmental EngineeringSPECTRAL INDEXESREMOTE-SENSINGREFLECTION RADIOMETER ASTEREMISSIVITY SEPARATION ALGORITHM[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismAGRICULTURAL AREASystems engineering[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicGeneral Earth and Planetary SciencesENERGY-BALANCE[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/Bioclimatologybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSATELLITE IMAGESHEAT-ISLAND
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Détection non supervisée des adventices par drone : résultats et limites

2019

Dans un cadre de diminution des produits phytosanitaires, l'agriculture de précision est une solution technique pour diminuer l'impact environnemental de l'agriculture sans transformer les systèmes de production actuels. La démocratisation des drones aériens pour l'agriculture permet leur utilisation afin de discriminer culture et adventices au sein de parcelles cultivées. Nous avons développé et testé des algorithmes non supervisés (ne nécessitant pas l’intervention d’un humain) combinant l'information spatiale et spectrale pour réaliser cette discrimination. Cette présentation sera l'occasion de revenir sur les résultats de ces algorithmes et de présenter également les limites rencontrées…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologytraitement d’images[SDV.BV] Life Sciences [q-bio]/Vegetal Biologydiscrimination culture/adventicesinformation spatiale et spectralealgorithme non supervisé
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Robotics for weed control: I-Weed Robot for a specific spraying

2012

International audience; To preserve environment for a sustainable agriculture, we explore the development of a new autonomous robot, called I-Weed Robot (Intelligent Weed Robot), which aims at reducing herbicides in crop fields (maize, sunflower...). Using a high precision positioning signal (RTK) to locate the robot in the field, a Kaman filter and a proportional-integral-derivative controller (PID controller) allow adjusting the orientation of the robot depending on a predefined trajectory. As for the spraying system, a camera in front of the mobile platform detects weed plants thanks to an image processing based on a crop/weed discrimination algorithm (Hough Transform). At the back a spr…

[SDV] Life Sciences [q-bio]weed controlherbicidesPrecision agriculturespraying[SDV]Life Sciences [q-bio]robotsmachine visionWeedsalgorithms[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Identification and diagnosis of patients with familial chylomicronaemia syndrome (FCS): Expert panel recommendations and proposal of an "FCS score".

2018

Familial chylomicronaemia syndrome (FCS) is a rare, inherited disorder characterised by impaired clearance of triglyceride (TG)-rich lipoproteins from plasma, leading to severe hypertriglyceridaemia (HTG) and a markedly increased risk of acute pancreatitis. It is due to the lack of lipoprotein lipase (LPL) function, resulting from recessive loss of function mutations in the genes coding LPL or its modulators. A large overlap in the phenotype between FCS and multifactorial chylomicronaemia syndrome (MCS) contributes to the inconsistency in how patients are diagnosed and managed worldwide, whereas the incidence of acute hypertriglyceridaemic pancreatitis is more frequent in FCS. A panel of Eu…

[SDV]Life Sciences [q-bio]Diagnosis toolpopulation030204 cardiovascular system & hematologyburdenapoa50302 clinical medicineLoss of Function MutationRisk FactorsChylomicrons030212 general & internal medicineAge of OnsetHypolipidemic AgentsBIOMEDICINA I ZDRAVSTVO. Kliničke medicinske znanosti. Interna medicina.Lipoprotein lipaseplasma triglycerideshyperlipoproteinemiaPrognosis3. Good healthUp-RegulationPhenotypeAcute pancreatitislipids (amino acids peptides and proteins)Hyperlipoproteinemia Type IAcute pancreatitis ; Familial chylomicronaemia syndrome ; Major hypertriglyceridaemia ; Multifactorial chylomicronaemiaCardiology and Cardiovascular MedicineFamilial chylomicronaemia syndromeAlgorithmsacute-pancreatitismedicine.medical_specialtyConsensushypertriglyceridemiaetiologyAcute pancreatitis; Familial chylomicronaemia syndrome; Major hypertriglyceridaemia; Multifactorial chylomicronaemia/Decision Support TechniquesDiagnosis Differential03 medical and health sciencesAcute pancreatitis; Familial chylomicronaemia syndrome; Major hypertriglyceridaemia; Multifactorial chylomicronaemia; Cardiology and Cardiovascular MedicinePredictive Value of TestsInternal medicinemedicineHumansGenetic Predisposition to DiseaseAcute pancreatitiBIOMEDICINE AND HEALTHCARE. Clinical Medical Sciences. Internal Medicine.GenotypingTriglyceridesPregnancyReceiver operating characteristicbusiness.industrysevereMultifactorial chylomicronaemiaReproducibility of Resultsmutationslipoprotein-lipase genemedicine.diseaseConfidence intervalAcute pancreatitisLipoprotein LipasePancreatitisCardiovascular System & CardiologyPancreatitisMajor hypertriglyceridaemiabusinessBiomarkersAtherosclerosis
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Tungsten oxide thin films sputter deposited by the reactive gas pulsing process for the dodecane detection

2015

International audience; The DC reactive magnetron sputtering of a metallic tungsten target was performed in an argon + oxygen atmosphere for depositing tungsten oxide thin films. In order to control the oxygen concentration in the films, the reactive gas pulsing process, namely RGPP, was implemented. Rectangular pulses were used with a constant pulsing period T = 16 s whereas the duty cycle α (time of oxygen injection to pulsing period T ratio) was systematically changed from 0 to 100% of T. This pulsing injection of the reactive gas allowed a gradual evolution of the films composition from pure metallic to over-stoichiometric WO3+ɛ’ compounds. These WOx films were sputter deposited on comm…

[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]ArgonMaterials scienceDodecane020502 materials[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Analytical chemistrychemistry.chemical_element02 engineering and technology021001 nanoscience & nanotechnologyOxygen[SPI.AUTO]Engineering Sciences [physics]/Automatic[SPI.MAT]Engineering Sciences [physics]/Materialschemistry.chemical_compound0205 materials engineeringchemistrySputteringDuty cycleDeposition (phase transition)Limiting oxygen concentrationThin film[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics0210 nano-technology
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Effect of moisture uptake on flax-reinforced composite laminates: influence on dynamic and quasi-static properties

2016

International audience; This study proposes to investigate the effect of moisture uptake on a wide spectrum of mechanical behaviours of unidirectional flax fibre-reinforced epoxy laminates. It includes tensile monotonic and fatigue testing. Results show that UD flax-epoxy composites, whenexposed to hygrothermal conditioning at 70°C and 85% RH, exhibit a diffusion kinetic which follows a one dimensional Fickian behaviour. The mass uptake at equilibrium is approximately 3.3 % and the diffusion coefficient 6.5 10-6 m2.s-1. Water vapour sorption is shown to induce a significant change in the shape of the tensile stress-strain curve. Contrary to all expectations, water saturation does not degrad…

[SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][PHYS.MECA]Physics [physics]/Mechanics [physics][PHYS.MECA] Physics [physics]/Mechanics [physics][SPI.AUTO]Engineering Sciences [physics]/Automatic
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