Search results for "CD"

showing 10 items of 4072 documents

Tryptophan promotes morphological and physiological differentiation in Streptomyces coelicolor.

2015

The molecular mechanisms regulating tryptophan biosynthesis in actinomycetes are poorly understood; similarly, the possible roles of tryptophan in the differentiation program of microorganism life-cycle are still underexplored. To unveil the possible regulatory effect of this amino acid on gene expression, an integrated study based on quantitative teverse transcription-PCR (qRT-PCR) and proteomic approaches was performed on the actinomycete model Streptomyces coelicolor. Comparative analyses on the microorganism growth in a minimal medium with or without tryptophan supplementation showed that biosynthetic trp gene expression in S. coelicolor is not subjected to a negative regulation by the …

Spectrometry Mass Electrospray IonizationProteomeNitrogenStreptomyces coelicolorBiologySettore BIO/19 - Microbiologia GeneraleApplied Microbiology and BiotechnologyActinorhodinchemistry.chemical_compoundS. coelicolorGene clusterGene expressionElectrophoresis Gel Two-DimensionalGenechemistry.chemical_classificationSpores Bacterial2D-DIGE; Actinorhodin; CDA; Differentiation; S. coelicolor; TryptophanGene Expression ProfilingStreptomyces coelicolorTryptophanTryptophanGeneral MedicineGene Expression Regulation Bacterialbiology.organism_classificationCarbonAmino acidCulture MediaActinorhodinCDAchemistryBiochemistryDifferentiationProteomeMicroscopy Electron Scanning2D-DIGEEnergy MetabolismBiotechnologyChromatography LiquidApplied microbiology and biotechnology
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FPGA implementation of Spiking Neural Networks

2012

Abstract Spiking Neural Networks (SNN) have optimal characteristics for hardware implementation. They can communicate among neurons using spikes, which in terms of logic resources, means a single bit, reducing the logic occupation in a device. Additionally, SNN are similar in performance compared to other neural Artificial Neural Network (ANN) architectures such as Multilayer Perceptron, and others. SNN are very similar to those found in the biological neural system, having weights and delays as adjustable parameters. This work describes the chosen models for the implemented SNN: Spike Response Model (SRM) and temporal coding is used. FPGA implementation using VHDL language is also describe…

Spiking neural networkPhysical neural networkQuantitative Biology::Neurons and CognitionArtificial neural networkbusiness.industryTime delay neural networkComputer scienceMultilayer perceptronComputer Science::Neural and Evolutionary ComputationArtificial intelligencebusinessField-programmable gate arrayHardware_LOGICDESIGNIFAC Proceedings Volumes
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Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

2013

We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWF and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; EPLANET, ERC and NSRF, European Union; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, DFG, HGF, MPG and AvH Foundation, Germany; GSRT and NSRF, Greece; ISF, MINERVA, GIF, DIP and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; BRF and RCN, Norway; MNiSW, Poland; GRICES and FCT, Portu…

Standard Modeldilepton: mass spectrumCiencias Físicas01 natural sciences7. Clean energySettore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentHiggs particle: hadroproduction//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)vector boson: fusion[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]QCBosonPhysicsHIGGS BOSONLarge Hadron Collidervector boson: pair productiontransverse energy: missing-energy4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleATLAS3. Good healthMassless particleCERN LHC CollHiggs particle: massPhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHiggs boson7000: 8000 GeV-cmsFísica nuclearAtlasLhcNeutrinoHiggs particle: decay modesParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASp p: scatteringNuclear and High Energy PhysicsParticle physicsmass spectrum: (4lepton)530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2ATLASdetector; LHC; Higgsbosonproduction; diboson530Massless ParticlesNnlo QCDNuclear physics0103 physical sciencesFysikddc:530High Energy Physics010306 general physicsTransverse-MomentumCondensed Matter::Quantum GasesHiggs particle: couplingScience & Technologyhep-ex010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFísicaQCD CorrectionsFermion//purl.org/becyt/ford/1.3 [https]Hadron CollidersDiboson ProductionAstronomíavector boson: leptonic decayHADRON-HADRON COLLISIONSProton-Proton CollisionsRoot-S=7 TevHiggs particle: hadroproduction ; Higgs particle: coupling ; vector boson: fusion ; p p: scattering ; CERN LHC Coll ; ATLAS ; Higgs particle: decay modes ; vector boson: pair production ; vector boson: leptonic decay ; mass spectrum: two-photon ; mass spectrum: (4lepton) ; dilepton: mass spectrum ; transverse energy: missing-energy ; Higgs particle: mass ; experimental results ; 7000: 8000 GeV-cmsExperimental High Energy PhysicsHigh Energy Physics::ExperimentCross-Sectionsmass spectrum: two-photonexperimental resultsLeptonBroken Symmetries
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Cutaneous Exposure to the Superantigen Staphylococcal Enterotoxin B Elicits a T-Cell-Dependent Inflammatory Response

1996

We analyzed the impact of superantigens secreted by skin-colonizing Staphylococci on the skin and the associated lymphoid tissue following epicutaneous application and intracutaneous injection of small amounts of staphylococcal enterotoxin B (SEB). A single intracutaneous injection of 50 ng of SEB elicited a strong inflammatory response in the skin of BALB/c mice. Three to 6 h later, we observed langerhans cell activation, mast cell degranulation, vasodilation, upregulation of ICAM-1, and induction of VCAM-1 on dermal blood vessels, with vascular adhesion of granulocytes. by 12 to 24 h, cell infiltration of the dermis increased, reaching the epidermis. Among the infiltrating leukocytes, a s…

Staphylococcus aureusLangerhans cellT cellVascular Cell Adhesion Molecule-1InflammationDermatitischemical and pharmacologic phenomenaDermatologyCD8-Positive T-LymphocytesPeripheral blood mononuclear cellBiochemistryEnterotoxinsMicemedicineSuperantigenAnimalsIntradermal injectionMolecular BiologyMice Inbred BALB CSuperantigensbusiness.industryDegranulationhemic and immune systemsCell Biologybiological factorsmedicine.anatomical_structureImmunologyTumor necrosis factor alphaFemalemedicine.symptombusinessJournal of Investigative Dermatology
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Novel pathogenic mechanism of microbial metalloproteinases: liberation of membrane-anchored molecules in biologically active form exemplified by stud…

1996

Certain membrane-anchored proteins, including several cytokines and cytokine receptors, can be released into cell supernatants through the action of endogenous membrane-bound metalloproteinases. The shed molecules are then able to fulfill various biological functions; for example, soluble interleukin-6 receptor (sIL-6R) can bind to bystander cells, rendering these cells sensitive to the action of IL-6. Using IL-6R as a model substrate, we report that the metalloproteinase from Serratia marcescens mimics the action of the endogenous shedding proteinase. Treatment of human monocytes with the bacterial protease led to a rapid release of sIL-6R into the supernatant. This effect was inhibitable …

Staphylococcus aureusProteasesmedicine.medical_treatmentImmunologyBiologyMatrix metalloproteinaseMicrobiologyMonocytesSubstrate SpecificityAntigens CDChlorocebus aethiopsmedicineAnimalsHumansReceptorSerratia marcescensMetalloproteinaseProteaseMembrane ProteinsMetalloendopeptidasesBiological activityBacterial InfectionsReceptors InterleukinListeria monocytogenesReceptors Interleukin-6Recombinant ProteinsBlotInfectious DiseasesSolubilityBiochemistryPseudomonas aeruginosaParasitologySignal transductionResearch ArticleSignal TransductionInfection and Immunity
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An MHC class II-expressing T cell clone presenting conventional antigen lacks the ability to present bacterial superantigen.

1995

We have analyzed the response of rat T cells to myelin basic protein (MBP) and the bacterial superantigen, staphylococcal enterotoxin E (SEE). Rat T cells reactive with MBP can respond to SEE presented by spleen cells but not to SEE presented by LOA, a rat T cell clone that expresses both I-A and I-E MHC class II molecules, even though LOA is much more efficient than splenic APC in the presentation of MBP. The inability of LOA to present superantigen is not due to a structural difference in MHC II molecules between LOA and the splenic APC or to differential expression of major accessory/adhesion molecules, including CD2, CD5, CD4 and CD44, on LOA. The non-responsiveness of SEE/LOA-induced T…

Staphylococcus aureusT cellT-LymphocytesImmunologyAntigen-Presenting CellsEnterotoxinsInterferon-gammaAntigenparasitic diseasesMHC class ImedicineImmunology and AllergyCytotoxic T cellAnimalsClonal AnergyMHC class IIAntigens BacterialSuperantigensbiologyAntigen processingChemistryHistocompatibility Antigens Class IIMyelin Basic ProteinGeneral MedicineMHC restrictionClone CellsRatsmedicine.anatomical_structureRats Inbred LewImmunologybiology.proteinCD8International immunology
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Selective killing of human monocytes and cytokine release provoked by sphingomyelinase (beta-toxin) of Staphylococcus aureus.

1996

The best-known activity of Staphylococcus aureus sphingomyelinase C, alias beta-toxin, is as a hemolysin that provokes hot-cold lysis of erythrocytes which contain substantial amounts of sphingomyelin in the plasma membrane. Sheep erythrocytes are most susceptible, and we found that one hemolytic unit, representing the toxin concentration that elicits 50% hemolysis of 2.5 X 10(8) erythrocytes per ml, corresponds to 0.05 enzyme units or to approximately 0.25 microg of sphingomyelinase per ml. The cytotoxic action of beta-toxin on nucleated cells has not been described in any detail before, and the present investigation was undertaken to fill this information gap. We now identify beta-toxin a…

Staphylococcus aureusTime FactorsLipopolysaccharideCD14ImmunologyBacterial ToxinsLipopolysaccharide ReceptorsExotoxinsMicrobiologyMonocytesMicrobiologychemistry.chemical_compoundHemolysin ProteinsPhospholipase A2Antigens CDmedicineHumansbiologyCell DeathDose-Response Relationship DrugCytotoxinsMonocyteHemolysinReceptors Interleukinmedicine.diseaseReceptors Interleukin-6HemolysisInfectious Diseasesmedicine.anatomical_structureSphingomyelin PhosphodiesteraseMechanism of actionchemistrybiology.proteinCytokinesParasitologymedicine.symptomSphingomyelinResearch ArticleInterleukin-1
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Komercdarbības reorganizācijas virzieni Latvijas Republikā

1992

Komerсzinību katedra ir veikusi pētījumus komercdarbības reorganizācijas jautājumos. Galvenā uzmanība veltīta komercizglītībai konceptuālā un profesionālās sagatavošanas aspektā. Krājumā sniegtas izstrādes mārketinga un tirgus izpētes jautājumos.

Starptautiskā tirdzniecībaImportsMārketingsTirgvedība:SOCIAL SCIENCES::Business and economics::Economics [Research Subject Categories]EksportsIekšējais tirgusKomercizglītībaKomercdarbībaТорговля
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Dynamical attractors of memristors and their networks

2018

It is shown that the time-averaged dynamics of memristors and their networks periodically driven by alternating-polarity pulses may converge to fixed-point attractors. Starting with a general memristive system model, we derive basic equations describing the fixed-point attractors and investigate attractors in the dynamics of ideal, threshold-type and second-order memristors, and memristive networks. A memristor potential function is introduced, and it is shown that in some cases the attractor identification problem can be mapped to the problem of potential function minimization. Importantly, the fixed-point attractors may only exist if the function describing the internal state dynamics dep…

State variableIdeal (set theory)Condensed Matter - Mesoscale and Nanoscale PhysicsComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyFunction minimizationMemristorFunction (mathematics)State (functional analysis)Nonlinear Sciences - Chaotic DynamicsTopologyNonlinear Sciences - Adaptation and Self-Organizing Systemslaw.inventionParameter identification problemComputer Science::Emerging TechnologieslawMesoscale and Nanoscale Physics (cond-mat.mes-hall)AttractorChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)EPL (Europhysics Letters)
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EMERGENCE OF TRAVELLING WAVES IN SMOOTH NERVE FIBRES

2008

International audience; An approximate analytical solution characterizing initial condi- tions leading to action potential ¯ring in smooth nerve ¯bres is determined, using the bistable equation. In the ¯rst place, we present a non-trivial sta- tionary solution wave. Then, we extract the main features of this solution to obtain a frontier condition between the initiation of the travelling waves and a decay to the resting state. This frontier corresponds to a separatrix in the projected dynamics diagram depending on the width and the amplitude of the stationary wave.

StationarityBistability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]01 natural sciencesNerve fibresStanding waveOptics[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]0103 physical sciencesTraveling wave[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Discrete Mathematics and Combinatorics[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematics010306 general physicsProjected dynamicsPhysicsSeparatrixbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceApplied Mathematics[SCCO.NEUR] Cognitive science/NeuroscienceDiagramDynamics (mechanics)Mechanics010101 applied mathematics[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Amplitude[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceAction potential firingbusinessAnalysis
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