Search results for " Mapping"

showing 10 items of 1411 documents

Impact of MHC class I alleles on the M. tuberculosis antigen-specific CD8+ T-cell response in patients with pulmonary tuberculosis

2007

Challenged by scattered understanding of protective immunity to Mycobacterium tuberculosis (MTB), we have mapped peptide epitopes to human leukocyte antigen (HLA)-A*0101, A*0201, A*1101, A*2402, B*0702, B*0801 and B*1501 of the secreted mycobacterial antigen Ag85B, a vaccine candidate that may be associated with immune protection. Affinity (ED(50)) and half-life (t(1/2), off-rate) analysis for individual peptide species on HLA-A and HLA-B molecules revealed binding ranges between 10(-3) and 10(-7) M. After selection of the best matches, major histocompatibility complex class I/peptide tetramer complexes were constructed to measure the CD8+ T-cell responses directly ex vivo in peripheral blo…

ImmunologyGenes MHC Class IPeptide bindingHuman leukocyte antigenCD8-Positive T-LymphocytesMajor histocompatibility complexEpitopeMycobacterium tuberculosisMHC class IGeneticsHumansCytotoxic T cellTuberculosis PulmonaryAllelesCells CulturedGenetics (clinical)HLA-A AntigensbiologyMycobacterium tuberculosisFlow Cytometrybiology.organism_classificationVirologyMolecular biologyHLA-B Antigensbiology.proteinEpitope MappingCD8Genes & Immunity
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Revisited BIA-MS combination: Entire "on-a-chip" processing leading to the proteins identification at low femtomole to sub-femtomole levels

2008

International audience; We present the results of a study in which biomolecular interaction analysis (BIA, Biacore 2000) was combined with mass spectrometry (MS) using entire "on-a-chip" procedure. Most BIA-MS studies included an elution step of the analyte prior MS analysis. Here, we report a low-cost approach combining Biacore analysis with homemade chips and MS in situ identification onto the chips without elution step. First experiments have been made with rat serum albumin to determine the sensitivity and validation of the concept has been obtained with an antibody/antigen couple. Our "on-a-chip" procedure allowed complete analysis by MS-MS of the biochip leading to protein identificat…

In situMALDI-TOFAnalyte[ SDV.BBM.BP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/BiophysicsBiomedical EngineeringBiophysicsAnalytical chemistrySPRBiosensing TechniquesMass spectrometry01 natural sciencesSensitivity and Specificity03 medical and health sciencesProtein Interaction MappingElectrochemistryNanotechnologyBIA-MSBiochipChromatography High Pressure Liquid030304 developmental biology0303 health sciencesChromatographyprotein complexesElutionChemistryMicrochemistry010401 analytical chemistryMs analysisReproducibility of ResultsGeneral MedicineEquipment DesignMicrofluidic Analytical Techniques0104 chemical sciencesEquipment Failure Analysis[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry Molecular Biology/BiophysicsMatrix-assisted laser desorption/ionizationSAMSpectrometry Mass Matrix-Assisted Laser Desorption-IonizationBiotechnology
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Modeling the influence of alternative forest management scenarios on wood production and carbon storage: A case study in the Mediterranean region

2016

Forest ecosystems are fundamental for the terrestrial biosphere as they deliver multiple essential ecosystem services (ES). In environmental management, understanding ES distribution and interactions and assessing the economic value of forest ES represent future challenges. In this study, we developed a spatially explicit method based on a multi-scale approach (MiMoSe-Multiscale Mapping of ecosystem services) to assess the current and future potential of a given forest area to provide ES. To do this we modified and improved the InVEST model in order to adapt input data and simulations to the context of Mediterranean forest ecosystems. Specifically, we integrated a GIS-based model, scenario …

InVESTCarbon SequestrationConservation of Natural ResourcesSettore AGR/05 - Assestamento Forestale E Selvicoltura010504 meteorology & atmospheric sciencesEcosystem serviceMiMoSe approachForest managementGeographic MappingContext (language use)010501 environmental sciencesCarbon sequestration01 natural sciencesBiochemistryEcosystem servicesEcosystem services; Forest management; InVEST; MiMoSe approach; Trade-off analysisForest ecologyEcosystem servicesConservation of Natural ResourceSpatial analysis0105 earth and related environmental sciencesGeneral Environmental ScienceSpatial AnalysisForest management2300Wood productionbusiness.industryMedicine (all)Environmental resource managementBiosphereForestryTrade-offanalysisSpatial AnalysiModels TheoreticalWoodTrade-off analysiItalyTrade-off analysisEnvironmental sciencebusinessEnvironmental Research
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Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition

2014

Canonical polyadic decomposition (CPD) may face a local optimal problem when analyzing multi-subject fMRI data with inter-subject variability. Beckmann and Smith proposed a tensor PICA approach that incorporated an independence constraint to the spatial modality by combining CPD with ICA, and alleviated the problem of inter-subject spatial map (SM) variability.This study extends tensor PICA to incorporate additional inter-subject time course (TC) variability and to connect CPD and ICA in a new way. Assuming multiple subjects share common TCs but with different time delays, we accommodate subject-dependent TC delays into the CP model based on the idea of shift-invariant CP (SCP). We use ICA …

Independent component analysis (ICA)Speech recognitionModels NeurologicalMotor ActivityNeuropsychological TestsInter-subject variabilityta3112TimeMulti-subject fMRI dataFingersHumansCanonical polyadic decomposition (CPD)Computer SimulationMotor activityInvariant (mathematics)ta217ta113Brain MappingShift-invariant CP (SCP)General NeuroscienceBrainMagnetic Resonance ImagingIndependent component analysisAuditory PerceptionTensor PICASpatial mapsPsychologyAlgorithmJournal of Neuroscience Methods
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The Human Context of Information Systems

2005

In its past, IS research has focused on IT and the organizations that use IT. Human issues have been studied in HCI and the Human Factor Studies of MIS. Yet recently a new wave of attention has emerged to focus more explicitly on issues rising from the human context of information systems. Studies in this area are still scattered, but there seems to exist a common paradigmatic orientation in their basic assumptions of human beings and their interaction. The end-users of information systems should be seen holistically as physical, cognitive, emotional, and social beings, whose communication is rich and uses multiple media. These views add to and improve our understanding of information and k…

Information managementCognitive scienceHuman resource management systemKnowledge managementComputer sciencebusiness.industryInformation architectureInformation technologyInformation qualityInformation mappingHuman-centered computingManagement information systemsGroup information managementInformation and Communications TechnologyPersonal information managementInformation systemInformation technology architecturebusinessProceedings of the 38th Annual Hawaii International Conference on System Sciences
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Quick and dirty but still pretty good: a review of new descriptive methods in food science

2012

Summary For food scientists and industrials, descriptive profiling is an essential tool that involves the evaluation of both the qualitative and quantitative sensory characteristics of a product by a panel. Recently, in response to industrial demands to develop faster and more cost-effective methods of descriptive analysis, several methods have been offered as alternatives to conventional profiling. These methods can be classified in three families: (i) verbal-based methods (flash profile and check-all-that-apply), (ii) similarity-based methods (free sorting task and projective mapping aka Napping®) and (iii) reference-based methods (polarised sensory positioning and pivot profile). We succ…

Information retrievalProjective mappingDescriptive statisticsComputer scienceQuick-and-dirtyFood productsProfiling (information science)Statistical analysisSensory analysisIndustrial and Manufacturing EngineeringAKAFood ScienceInternational Journal of Food Science & Technology
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Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectives

2017

Complex heartbeat dynamics is known to reflect subject's emotional state, thanks to numerous links to brain cortical and subcortical regions. Likewise, specific brain regions are deeply involved in vagally-mediated emotional processing and regulation. Nevertheless, although the brain-heart interplay has been studied during visual emotion elicitation, directional interactions have not been investigated so far. To fill this gap, in this study we investigate brain-heart dynamics during emotional elicitation in healthy subjects through measures of Granger causality (GC) between the two physiological systems. Data were gathered from 22 healthy volunteers who underwent pleasant/ unpleasant affect…

Information transferHeartbeatPhotic StimulationEmotionsBiomedical EngineeringSignal Processing; Biomedical Engineering; 1707; Health InformaticsHealth InformaticsElectroencephalography01 natural sciencesBrain mappingLateralization of brain function010305 fluids & plasmasDevelopmental psychology03 medical and health sciences0302 clinical medicineHeart Rate0103 physical sciencesmedicinePrefrontal cortexInternational Affective Picture System1707Brain Mappingmedicine.diagnostic_testBrainElectroencephalographyHealthy VolunteersSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSignal ProcessingPsychologyPhotic Stimulation030217 neurology & neurosurgeryCognitive psychology
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Spatio-Temporal Analysis of Suicide-Related Emergency Calls

2017

Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year.

Injury controlAccident preventionComputer scienceHealth Toxicology and Mutagenesisdisease mappingPoison controllcsh:Medicinebayesian modelingBayesian inference01 natural sciencesSuicide preventionArticle010104 statistics & probability03 medical and health sciences0302 clinical medicineSpatio-Temporal AnalysismedicineHumans030212 general & internal medicine0101 mathematicspolice calls-for-serviceseasonalitySpatio-Temporal Analysislcsh:RPublic Health Environmental and Occupational HealthEmergency Medical Dispatchmedicine.diseasesocial epidemiologybayesian modeling; disease mapping; police calls-for-service; seasonality; social epidemiologySuicideAutoregressive modelMedical emergencySeasonsCartographyInternational Journal of Environmental Research and Public Health
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Optimized integral imaging display by global pixel mapping

2006

Integral imaging systems are imaging devices that provide 3D images of 3D objects. When integral imaging systems work in their standard configuration the provided reconstructed images are pseudoscopic; that is, are reversed in depth. In this paper we present a technique for formation of real, undistorted, orthoscopic integral images by direct pickup. The technique is based on a global mapping of pixels of an elemental-images set. Simulated imaging experiments are presented.

Integral imagingPixelComputer sciencePixel mappingbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImaging spectrometerIterative reconstructionSet (abstract data type)Computer graphics (images)Computer visionPickupArtificial intelligenceImage sensorbusinessSPIE Proceedings
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MMGBSA As a Tool To Understand the Binding Affinities of Filamin–Peptide Interactions

2013

Filamins (FLN) are large dimeric proteins that cross-link actin and work as important scaffolds in human cells. FLNs consist of an N-terminal actin-binding domain followed by 24 immunoglobulin-like domains (FLN1-24). FLN domains are divided into four subgroups based on their amino acid sequences. One of these subgroups, including domains 4, 9, 12, 17, 19, 21, and 23, shares a similar ligand-binding site between the β strands C and D. Several proteins, such as integrins β2 and β7, glycoprotein Ibα (GPIbα), and migfilin, have been shown to bind to this site. Here, we computationally estimated the binding free energies of filamin A (FLNa) subunits with bound peptides using the molecular mechan…

Integrin beta ChainsFilaminsGeneral Chemical EngineeringIntegrinPeptidePlasma protein bindingMolecular Dynamics SimulationLibrary and Information SciencesBiologyLigandsFilaminta3111Protein Structure SecondaryProtein structureProtein Interaction MappingHumansFLNAProtein Interaction Domains and MotifsBinding siteta116chemistry.chemical_classificationBinding Sitesta1182General ChemistryComputer Science ApplicationsAmino acidCytoskeletal ProteinsCrystallographyPlatelet Glycoprotein GPIb-IX ComplexchemistryCD18 AntigensBiophysicsbiology.proteinThermodynamicsPeptidesCell Adhesion MoleculesAlgorithmsProtein BindingJournal of Chemical Information and Modeling
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