Search results for "Bed"

showing 10 items of 1605 documents

Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors.

2013

Sparse Manifold Clustering and Embedding (SMCE) algorithm has been recently proposed for simultaneous clustering and dimensionality reduction of data on nonlinear manifolds using sparse representation techniques. In this work, SMCE algorithm is applied to the differential discrimination of Glioblastoma and Meningioma Tumors by means of their Gene Expression Profiles. Our purpose was to evaluate the robustness of this nonlinear manifold to classify gene expression profiles, characterized by the high-dimensionality of their representations and the low discrimination power of most of the genes. For this objective, we used SMCE to reduce the dimensionality of a preprocessed dataset of 35 single…

BioinformaticsHealth InformaticsMicroarray data analysisRobustness (computer science)Databases GeneticCluster AnalysisHumansManifoldsCluster analysisMathematicsOligonucleotide Array Sequence Analysisbusiness.industryDimensionality reductionGene Expression ProfilingComputational BiologyDiscriminant AnalysisPattern recognitionSparse approximationLinear discriminant analysisManifoldComputer Science ApplicationsFISICA APLICADAEmbeddingAutomatic classificationArtificial intelligencebusinessGlioblastomaMeningiomaTranscriptomeAlgorithmsCurse of dimensionalityComputers in biology and medicine
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Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.

2008

Abstract Reproducing kernel Hilbert spaces regression procedures for prediction of total genetic value for quantitative traits, which make use of phenotypic and genomic data simultaneously, are discussed from a theoretical perspective. It is argued that a nonparametric treatment may be needed for capturing the multiple and complex interactions potentially arising in whole-genome models, i.e., those based on thousands of single-nucleotide polymorphism (SNP) markers. After a review of reproducing kernel Hilbert spaces regression, it is shown that the statistical specification admits a standard mixed-effects linear model representation, with smoothing parameters treated as variance components.…

BiologyInvestigationsBayesian inferenceMachine learningcomputer.software_genreKernel principal component analysisChromosomessymbols.namesakeQuantitative Trait HeritableGeneticsAnimalsGeneticsGenomeModels GeneticRepresenter theorembusiness.industryHilbert spaceLinear modelBayes TheoremQuantitative Biology::GenomicsKernel embedding of distributionsKernel (statistics)symbolsPrincipal component regressionRegression AnalysisArtificial intelligencebusinesscomputerChickensGenetics
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Global Scale IB AMSR2 Vegetation Optical Depth at X-Band

2021

Vegetation Optical Depth (VOD) plays an increasingly important role in studying global carbon, water and energy transformation [1], [2]. This study explores the performance of the X-MEB (X-band microwave emission of the biosphere) model at global scale. Similar to the L-MEB model, the X-MEB model, built by INRAE (Institut national de recherche pour l'agriculture, l'alimentation et l'environnement) Bordeaux, aims to retrieve VOD (referred to as IB X-VOD) at X-band. To avoid the ill-posed problem caused by retrieving two parameters of interest (soil moisture (SM) and VOD) from mono-angular and dual-polarized observations (AMSR2), which are strongly correlated, we used the ERA5 SM product as a…

Biomass (ecology)Scale (ratio)BiosphereEnvironmental scienceVegetationLeaf area indexAlbedoAtmospheric sciencesWater contentNormalized Difference Vegetation Index2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Effects of the dual sodium-glucose linked transporter inhibitor, licogliflozinvsplacebo or empagliflozin in patients with type 2 diabetes and heart f…

2020

Aims Explore the efficacy, safety and tolerability of the dual sodium-glucose cotransporter (SGLT) 1 and 2 inhibitor, licogliflozin in patients with type-2 diabetes mellitus (T2DM) and heart failure. Methods This multicentre, parallel-group phase IIA study randomized 125 patients with T2DM and heart failure (New York Heart Association II-IV; plasma N-terminal pro b-type natriuretic peptide [NT-proBNP] >300 pg/mL) to licogliflozin (2.5 mg, 10 mg, 50 mg) taken at bedtime, empagliflozin (25 mg) or placebo (44 patients completed the study). The primary endpoint was change from baseline in NT-proBNP after 12 weeks. Secondary endpoints included change from baseline in glycated haemoglobin, fas…

Blood Glucosemedicine.medical_specialtyUrologyheart failureType 2 diabetesPlacebo030226 pharmacology & pharmacyBedtimeAnhydridesSGLT2 INHIBITORS03 medical and health sciencespharmacotherapy0302 clinical medicineDouble-Blind MethodGlucosidesDiabetes mellitusmedicineEmpagliflozinHumansHypoglycemic AgentsSorbitolPharmacology (medical)030212 general & internal medicineCOTRANSPORTER 2 INHIBITORSBenzhydryl CompoundsPharmacologyGlycated HemoglobinOUTCOMESbusiness.industrySodiumbiomarkersOriginal Articlesmedicine.diseaseEFFICACYBlood pressureGlucoseTreatment OutcomeTolerabilityDiabetes Mellitus Type 2PRESERVED EJECTION FRACTIONHeart failureSAFETYOriginal Articlebiomarkers heart failure pharmacotherapy type 2 diabetestype 2 diabetesbusinessBritish Journal of Clinical Pharmacology
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A double mean field equation related to a curvature prescription problem

2019

We study a double mean field-type PDE related to a prescribed curvature problem on compacts surfaces with boundary. We provide a general blow-up analysis, then a Moser-Trudinger inequality, which gives energy-minimizing solutions for some range of parameters. Finally, we provide existence of min-max solutions for a wider range of parameters, which is dense in the plane if $��$ is not simply connected.

Blow–up analysiPlane (geometry)Applied Mathematics010102 general mathematicsMathematics::Analysis of PDEs35J20 58J32Boundary (topology)Unit normal vectorCurvature01 natural sciencesConformal metric010101 applied mathematicsMathematics - Analysis of PDEsVariational methodsMean field equationSimply connected spaceFOS: Mathematics0101 mathematicsPrescribed curvature problemAnalysisMathematical physicsMathematicsAnalysis of PDEs (math.AP)
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Impact of trace metals from past mining on the aquatic ecosystem: a multi-proxy approach in the Morvan (France).

2014

10 pages; International audience; This study seeks to determine to what extent trace metals resulting from past mining activities are transferred to the aquatic ecosystem, and whether such trace metals still exert deleterious effects on biota. Concentrations of Cd, Cu, Pb and Zn were measured in streambed sediments, transplanted bryophytes and wild brown trout. This study was conducted at two scales: (i) the entire Morvan Regional Nature Park and (ii) three small watersheds selected for their degree of contamination, based on the presence or absence of past mining sites. The overall quality of streambed sediments was assessed using Sediment Quality Indices (SQIs). According to these standar…

Body condition index010504 meteorology & atmospheric sciences[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SDV.TOX.ECO ] Life Sciences [q-bio]/Toxicology/Ecotoxicology010501 environmental sciences01 natural sciencesBiochemistryMiningBrown troutTrace metal14. Life underwaterEcosystem0105 earth and related environmental sciencesGeneral Environmental Science[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologyFluctuating asymmetryAquatic ecosystemSedimentBiotaContaminationBioaccumulationWild brown troutTrace ElementsStreambed sedimentMetals[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryBioaccumulationEnvironmental chemistryBryophyteEnvironmental scienceBryophyteFrance[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology[SDE.BE]Environmental Sciences/Biodiversity and EcologyWater Pollutants ChemicalEnvironmental Monitoring
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Specific immunohistochemical identification of Candida albicans in paraffin-embedded tissue with a new monoclonal antibody (1B12).

1995

In invasive candidiasis, the identification of Candida organisms in tissue samples or in normally sterile fluids is essential for an accurate diagnosis. Species identification is an important clue for the source of infection and in epidemiological studies. In this article, the authors have tested the value of a new monoclonal antibody (1B12) to detect C albicans in culture by immunofluorescence, and in tissue samples by immunohistochemistry. MAb 1B12 was found to specifically recognize C albicans , does not cross-react with other Candida species or other structurally similar fungi, and is very sensitive and specific in paraffin-embedded tissue, having no reactivity in normal human tissues o…

Body fluidNecrosisParaffin Embeddingmedicine.diagnostic_testmedicine.drug_classAntibodies MonoclonalFluorescent Antibody TechniqueGeneral MedicineFungi imperfectiBiologyImmunofluorescenceMonoclonal antibodymedicine.diseasebiology.organism_classificationImmunohistochemistryMicrobiologyCandida albicansmedicineImmunohistochemistryHumansmedicine.symptomCandida albicansMycosisAmerican journal of clinical pathology
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The alanine detector in BNCT dosimetry: Dose response in thermal and epithermal neutron fields

2014

Purpose: The response of alanine solid state dosimeters to ionizing radiation strongly depends on particle type and energy. Due to nuclear interactions, neutron fields usually also consist of secondary particles such as photons and protons of diverse energies. Various experiments have been carried out in three different neutron beams to explore the alanine dose response behavior and to validate model predictions. Additionally, application in medical neutron fields for boron neutron capture therapy is discussed. Methods: Alanine detectors have been irradiated in the thermal neutron field of the research reactor TRIGA Mainz, Germany, in five experimental conditions, generating different secon…

Bonner sphereMaterials sciencebusiness.industryPhysics::Medical Physicstechnology industry and agricultureGeneral MedicineNeutron temperatureNuclear physicsNeutron captureAbsorbed doseNeutron cross sectionDosimetryNeutron sourceNeutronNuclear medicinebusinessMedical Physics
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Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

2014

International audience; Smart camera, i.e. cameras that are able to acquire and process images in real-time, is a typical example of the new embedded computer vision systems. A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life. In this paper, we propose a methodology for development and fast-prototyping of a fall detection system based on such a smart camera, which allows to reduce the development time compared to standard approaches. Founded on a supervised classification approach, we propose a HW/SW implementation to detect falls in a home environment using a single camera and an optimized descriptor adapted to real-time t…

Boosting (machine learning)Computer scienceReal-time computing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]HW/SW implementationFast smart camera prototypingComputer graphicsReal-time fall detectionZynq0202 electrical engineering electronic engineering information engineering[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsSmart cameraArchitectureComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHome environmentbusiness.industryEfficient algorithm[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SoC implementation020202 computer hardware & architectureEmbedded systemHardware accelerationBoosting hardware implementation[INFO.INFO-ES]Computer Science [cs]/Embedded Systems020201 artificial intelligence & image processingFall detectionbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingInformation SystemsJournal of Real-Time Image Processing
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Embedded System Study for Real Time Boosting Based Face Detection

2006

This paper describes a study for a real time embedded face detection system. Recently, the boosting based face detection algorithms proposed by [(Viola, P and Jone, M, 2001); (Lienhart, R, et al., 2003)] have gained a lot of attention and are considered as the fastest accurate face detection algorithms today. However, the embedded implementation of such algorithms into hardware is still a challenge, since these algorithms are heavily based on memory access. A sequential implementation model is built showing its lack of regularity in time consuming and speed of detection. We propose a parallel implementation that exploits the parallelism and the pipelining in these algorithms. This implement…

Boosting (machine learning)business.industryComputer scienceEmbedded systemReal-time computingDetectorFace detectionbusinessFacial recognition systemIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
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