Search results for "HRES"

showing 10 items of 695 documents

The bitter taste of vitamins is mediated by human TAS2R activation

2021

Vitamins play an important role in maintaining normal physiologic and metabolic functions. Vitamins are known to generate bitterness, which may contribute to the off-taste of nutritional supplements. This negative sensation may decrease product acceptability and patient compliance. Few studies have examined taste thresholds and sensory sensing mechanisms at the origin of vitamin taste detection. To better understand vitamin bitterness perception, we combined human sensory analysis and taste receptor functional assays. We measured the aqueous taste detection threshold of four B vitamins using sensory difference tests. Challenging the 25 human bitter taste 2 receptors (TAS2Rs), we found that …

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionvitamins bitter bitter taste threshold cellular assay sensory studies[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biologybitter taste thresholdcellular assaysensory studiesvitaminsbitter
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New Decision-making Tools for sustainable Weed Control

2021

En 2017, le Conseil fédéral suisse a adopté le pland’action visant à la réduction des risques et à l’utilisation durable des produits phytosanitaires. L’une desmesures de ce plan est «la renonciation complète oupartielle aux herbicides». Or, celle-ci n’est réalisablequ’au travers d’une stratégie de gestion globale desadventices, à l’échelle de la culture et de la rotation. Eneffet, les adventices sont nuisibles pour la culture enplace l’année en cours, mais aussi de manière pluriannuelle par le biais de leur stock semencier. La mise enœuvre de mesures préventives et curatives basées surles principes de la protection intégrée nécessite denouveaux outils d’aide à la décision. Des indicateursd…

[SDV] Life Sciences [q-bio]weed thresholdsintegrated weed managementcurative weed controlpreventive repairharmfulness of weeds
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Dielectric properties of graphite-based epoxy composites

2014

International audience; Composite materials based on epoxy resin filled with various kinds of graphite particles: exfoliated graphite, natural graphite, and coarse, medium and fine artificial graphites have been prepared. Results of broadband dielectric investigations of such materials in wide temperature (25-450 K) and frequency (20 Hz-3 THz) ranges are presented. The dielectric permittivity strongly increases with graphite particle size. The graphite particle size and shape also have a strong impact on freezing temperature, conductivity activation energy and composite electromagnetic absorption properties at room temperature. The lowest percolation threshold is observed for exfoliated gra…

[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]graphite[CHIM.MATE]Chemical Sciences/Material chemistryexfoliationepoxy[SPI.MAT]Engineering Sciences [physics]/MaterialsCondensed Matter::Materials Science[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism[CHIM.POLY]Chemical Sciences/Polymerspercolation threshold[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph][PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci][SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]compositedielectric propertieSettore CHIM/02 - Chimica Fisica
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Functionnalized Surface Acoustic Wave Sensors for the Detection of Hazardous Gases

2018

International audience; In this work, we show the capabilities of Surface Acoustic Wave (SAW) devices to probe the properties of gas sensitive materials for the manufacturing of hazardous gas sensors. The great capabilities of cobalt corroles for the trapping of carbon monoxide (CO) were exploited to produce selective sensors. These corroles were deposited on SAW delay lines surfaces and then exposed to carbon monoxide (CO) in standard conditions. Concentrations of a few hundreds of ppb were measured emphasizing the interest of such sensors for the detection of CO. Another type of sensitive layers exhibiting specific porosity adapted to the trapping of formaldehyde (CH$_2$O) were deposited …

[SPI.OTHER]Engineering Sciences [physics]/OtherMaterials science[SPI.OTHER] Engineering Sciences [physics]/Other010405 organic chemistryDetection thresholdbusiness.industrySurface acoustic wavechemistry.chemical_element[CHIM.MATE]Chemical Sciences/Material chemistryTrapping010402 general chemistry01 natural sciences0104 chemical scienceschemistry.chemical_compoundchemistryHazardous wasteOptoelectronicsSurface acoustic wave sensorPorositybusinessCobaltCarbon monoxide
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Nonlinear resonances and some of their applications to information processing

2021

The study of resonance phenomena in nonlinear dynamical systems has drawn considerable attention for years. The most studied nonlinear resonance is undoubtedly the famous stochastic resonance, which consists of perturbing a nonlinear system with an appropriate amount of noise to enhance the detection of a subthreshold input signal. Since the introduction of stochastic resonance in the context of climate dynamics, it was later observed that a deterministic high frequency perturbation can replace noise leading to vibrational resonance. Even if this latter resonance was investigated in many areas of science for more than two decades now, it is still receiving attentions. It is the subject of t…

[SPI.OTHER]Engineering Sciences [physics]/OtherSubthreshold images perceptionRésonance vibrationnelleVibrational resonanceGhost-Vibrational resonance[SPI.OTHER] Engineering Sciences [physics]/OtherNonlinear dynamicsRésonance vibrationnelle-FantômeDynamiques non linéairesPerception d'images subliminales
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A Robust Multi Stage Technique for Image Binarization of Degraded Historical Documents

2017

International audience; Document image binarization is a central problem in many document analysis systems. Indeed, it represents one of the basic challenges, especially in case of historical documents analysis. In this paper, we propose a novel robust multi stage framework that combines different existing document image thresholding methods for the purpose of getting a better binarization result. CLAHE technique is introduced to significantly enhance contrast in some poor images. The proposed method then uses a hybrid algorithm to partition image into foreground and background. A special procedure is finally applied in order to remove small noise and correct characters morphology. Experime…

adaptive thresholdingComputer scienceHistorical document image analysis[SPI] Engineering Sciences [physics]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyhybrid algorithm01 natural sciencesGrayscaleElectronic mail010309 optics[SPI]Engineering Sciences [physics]Histogram0103 physical sciences0202 electrical engineering electronic engineering information engineeringNoise measurementbusiness.industryPattern recognitionImage segmentationglobal thresholdingThresholding[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGcontrast enhancement020201 artificial intelligence & image processingAlgorithm designAdaptive histogram equalizationArtificial intelligencebusiness
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Fuzzy temporal random sets with an application to cell biology

2007

Total Internal Reflection Fluorescence Microscopy (TIRFM) greatly facilitates to imaging the first steps of endocytosis, a process whereby cells traffic cargo from the cell surface to endosomes. Using TIRFM, fluorescent-tagged endocytic proteins are observed as overlapped areas forming random clumps of different sizes, shapes and durations. A common procedure to segment these objects consists of thresholding the original gray-level images to produce binary sequences in which a pixel is covered or not by a given fluorescent-tagged protein. This binary logic is not appropriate because it leaves a free tuning parameter to be set by the user which can influence on the conclusions of the statist…

business.industryBinary imageFuzzy setPattern recognitionFunction (mathematics)Image segmentationFuzzy logicThresholdingSet (abstract data type)Computer visionArtificial intelligencebusinessIndependence (probability theory)Mathematics2007 IEEE International Fuzzy Systems Conference
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Retinal vasculature segmentation and measurement framework for color fundus and SLO images

2020

Abstract The change in vascular geometry is an indicator of various health issues linked with vision and cardiovascular risk factors. Early detection and diagnosis of these changes can help patients to select an appropriate treatment option when the disease is in its primary phase. Automatic segmentation and quantification of these vessels would decrease the cost and eliminate inconsistency related to manual grading. However, automatic detection of the vessels is challenging in the presence of retinal pathologies and non-uniform illumination, two common occurrences in clinical settings. This paper presents a novel framework to address the issue of retinal blood vessel detection and width me…

business.industryComputer scienceBiomedical EngineeringRetinalVascular geometryFundus (eye)Scanning laser ophthalmoscopychemistry.chemical_compoundchemistryIterative thresholdingAutomatic segmentationGraph (abstract data type)SegmentationComputer visionArtificial intelligencebusinessBiocybernetics and Biomedical Engineering
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Locality-sensitive hashing enables signal classification in high-throughput mass spectrometry raw data at scale

2021

Mass spectrometry is an important experimental technique in the field of proteomics. However, analysis of certain mass spectrometry data faces a combination of two challenges: First, even a single experiment produces a large amount of multi-dimensional raw data and, second, signals of interest are not single peaks but patterns of peaks that span along the different dimensions. The rapidly growing amount of mass spectrometry data increases the demand for scalable solutions. Existing approaches for signal detection are usually not well suited for processing large amounts of data in parallel or rely on strong assumptions concerning the signals properties. In this study, it is shown that locali…

business.industryComputer scienceScalabilityHash functionPattern recognitionDetection theoryArtificial intelligenceMass spectrometrybusinessRaw dataThresholdingSynthetic dataLocality-sensitive hashing
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Modified morphological correlation based on bit-map representations.

1999

Pattern recognition with high discrimination can be achieved with a morphological correlator. A modification of this correlator is carried out by use of a binary slicing process instead of linear thresholding. Although the obtained correlation result is not identical to the conventional morphological correlation, it requires fewer calculations and provides even higher discrimination. Two optical experimental implementations of this modified morphological correlator as well as some experimental results are shown.

business.industryMaterials Science (miscellaneous)Process (computing)Binary numbercomputer.file_formatMultiplexingThresholdingSlicingIndustrial and Manufacturing EngineeringCorrelationOpticsPattern recognition (psychology)BitmapBusiness and International ManagementbusinesscomputerMathematicsApplied optics
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