Search results for "NS1"

showing 10 items of 222 documents

The janus face of NKT cell function in autoimmunity and infectious diseases

2018

Natural killer T cells (NKT) are a subset of T lymphocytes bridging innate and adaptive immunity. These cells recognize self and microbial glycolipids bound to non-polymorphic and highly conserved CD1d molecules. Three NKT cell subsets, type I, II and NKT-like expressing different antigen receptors (TCR) were described and TCR activation promotes intracellular events leading to specific functional activities. NKT can exhibit different functions depending on the secretion of soluble molecules and the interaction with other cell types. NKT cells act as regulatory cells in the defence against infections but, on the other hand, their effector functions can be involved in the pathogenesis of sev…

0301 basic medicineglycolipidsAutoimmunityReviewAdaptive Immunitymedicine.disease_causeAutoimmunityCatalysiimmunologylcsh:Chemistry0302 clinical medicineT-Lymphocyte Subsetslcsh:QH301-705.5SpectroscopyInnate lymphoid cellhemic and immune systemsComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineNKTNatural killer T cellAcquired immune systemComputer Science ApplicationsCell biologyCD1DmicrobesCell typechemical and pharmacologic phenomenaGlycolipidBiologyCD1dCommunicable DiseasesCatalysisInorganic Chemistry03 medical and health sciencesmedicineAnimalsHumansMicrobePhysical and Theoretical ChemistryMolecular BiologyInflammationT-cell receptorOrganic ChemistryModels ImmunologicalAlpha-galactosylceramideAlpha-galactosylceramide; Autoimmunity; CD1d; Glycolipids; Microbes; NKT; Sulfatide; Catalysis; Molecular Biology; Spectroscopy; Computer Science Applications1707 Computer Vision and Pattern Recognition; Physical and Theoretical Chemistry; Organic Chemistry; Inorganic ChemistryImmunity InnateSettore MED/16 - Reumatologia030104 developmental biologylcsh:Biology (General)lcsh:QD1-999biology.proteinNatural Killer T-CellsSulfatideCD8030215 immunology
researchProduct

Automatic detection and measurement of nuchal translucency.

2017

In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main markers for screening of chromosomal defects such as trisomy 13, 18 and 21. Its measurement is performed during ultrasound scanning in the first trimester of pregnancy. The proposed methodology is mainly based on wavelet and multi resolution analysis. The performance of our method was analysed on 382 random frames, representing mid-sagittal sections, uniformly extracted from real clinical ultrasound videos of 12 patients. According to the groun…

0301 basic medicinemedicine.medical_specialtyWavelet AnalysisFirst trimester of pregnancyHealth InformaticsSensitivity and SpecificityWavelet analysi030218 nuclear medicine & medical imagingPattern Recognition AutomatedMachine Learning03 medical and health sciencesPrenatal ultrasound0302 clinical medicineNuchal regionNuchal translucencyUltrasound fetal examinationMedian sagittal sectionNuchal Translucency MeasurementImage Interpretation Computer-AssistedMedicineHumansPixelbusiness.industryMulti resolution analysisUltrasoundReproducibility of ResultsPattern recognitionComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsSurgeryClinical ultrasound030104 developmental biologyNuchal translucencyArtificial intelligenceDown SyndromebusinessNuchal Translucency MeasurementAlgorithmsComputers in biology and medicine
researchProduct

Designing the 5G network infrastructure: a flexible and reconfigurable architecture based on context and content information

2018

5G networks will have to offer extremely high volumes of content, compared to those of today’s. Moreover, they will have to support heterogeneous traffics, including machine-to-machine, generated by a massive volume of Internet-of-Things devices. Traffic demands will be variable in time and space. In this work, we argue that all this can be achieved in a cost-effective way if the network is flexible and reconfigurable. We present the Flex5Gware network architecture, designed to meet the above requirements. Moreover, we discuss the links between flexibility and reconfigurability, on the one side, and context awareness and content awareness, on the other; we show how two of the building…

5G networkingStandardizationFlexible HW/SW platformComputer Networks and CommunicationsComputer scienceContext-awareneDistributed computinglcsh:TK7800-8360050801 communication & media studies02 engineering and technologylcsh:Telecommunication0508 media and communicationslcsh:TK5101-6720flexible HW/SW platforms 5G networking context-awareness; content-awareness; reconfigurability0202 electrical engineering electronic engineering information engineeringContext awarenessArchitecturecontent-awarenessNetwork architectureAccess networklcsh:Electronicsflexible HW/SW platforms05 social sciencescontext-awarenessReconfigurabilityControl reconfigurationComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsComputer Science ApplicationsContent-awareneSignal Processingreconfigurability5GEURASIP Journal on Wireless Communications and Networking
researchProduct

An architecture for autonomous agents exploiting conceptual representations

1998

An architecture for autonomous agents is proposed that integrates the functional and the behavioral approaches to robotics. The integration is based on the introduction of a conceptual level, linking together a subconceptual, behavioral, level, and a linguistic level, encompassing symbolic representation and data processing. The proposed architecture is described with reference to an experimental setup, in which the robot task is that of building a significant description of its working environment. © 1998 Elsevier Science B.V. All rights reserved.

Active visionConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHybrid processingRepresentation levelbusiness.industryComputer scienceGeneral MathematicsAutonomous agentComputer Science Applications1707 Computer Vision and Pattern RecognitionRoboticsComputer Science ApplicationsControl and Systems EngineeringApplications architectureSystems architectureMathematics (all)RobotArtificial intelligenceReference architectureArchitecturebusinessSoftware
researchProduct

Data-based modeling of vehicle crash using adaptive neural-fuzzy inference system

2014

Vehicle crashes are considered to be events that are extremely complex to be analyzed from the mathematical point of view. In order to establish a mathematical model of a vehicle crash, one needs to consider various areas of research. For this reason, to simplify the analysis and improve the modeling process, in this paper, a novel adaptive neurofuzzy inference system (ANFIS-based) approach to reconstruct kinematics of colliding vehicles is presented. A typical five-layered ANFIS structure is trained to reproduce kinematics (acceleration, velocity, and displacement) of a vehicle involved in an oblique barrier collision. Subsequently, the same ANFIS structure is applied to simulate different…

Adaptive neuro fuzzy inference systemEngineeringVehicle crash reconstructionAdaptive neural-fuzzy inference system (ANFIS)-based prediction; Time-series analysis; Vehicle crash reconstruction; Vehicle dynamics modeling; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineeringbusiness.industryControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionKinematicsCollisionDisplacement (vector)Computer Science ApplicationsVehicle dynamicsAccelerationAdaptive neural-fuzzy inference system (ANFIS)-based predictionControl and Systems EngineeringTime-series analysisTime seriesElectrical and Electronic EngineeringbusinessReliability (statistics)Vehicle dynamics modeling
researchProduct

Assessing the Relationship Between Attitudinal and Perceptual Component of Body Image Disturbance Using Virtual Reality

2018

Body image disturbance (BID) affects quality of life even in the absence of clinically diagnosable eating pathology, and numerous studies have shown its crucial role in the emergence and maintenance of eating disorders. This study aimed at exploring attitudinal and perceptual components of BID using a novel virtual reality (VR)-based paradigm. A community sample of women (N = 27) recreated in VR their perceived body in both an allocentric (third-person view) and egocentric (first-person view) perspective. Specifically, women were able to choose between a wide range of three-dimensional bodies spanning body mass index 12.5-42.5 kg/m2. Attitudinal indexes of BID (body dissatisfaction, body un…

Adult050103 clinical psychologybody size estimationSocial Psychologybody imagemedia_common.quotation_subjectPersonal SatisfactionVirtual realityallocentricBody image disturbance03 medical and health sciences0302 clinical medicineQuality of life (healthcare)Component (UML)PerceptionHumans0501 psychology and cognitive sciencesApplied Psychologymedia_commonCommunication05 social sciencesEating pathologybody image disturbanceComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineComputer Science ApplicationsHuman-Computer InteractionAttitudevirtual realityFemalePerceptionallocentric; body image; body image disturbance; body size estimation; virtual reality; Social Psychology; Communication; Applied Psychology; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern RecognitionPsychologyM-PSI/01 - PSICOLOGIA GENERALE030217 neurology & neurosurgeryCognitive psychology
researchProduct

A robust aerial image registration method using Gaussian mixture models

2014

Aerial image registration is one of the bases in many aerospace applications, such as aerial reconnaissance and aerial mapping. In this paper, we propose a novel aerial image registration algorithm which is based on Gaussian mixture models. First of all, considering the characters of the aerial images, the work uses a shape feature detector which computes the boundaries of regions with nearly the same gray-value to extract invariant feature. Then, a Gaussian mixture models (GMM) based image registration model is built and solved to estimate the transformation matrix between two aerial images. Furthermore, the proposed method is applied on real aerial images, and the results demonstrate the …

Aerial surveyComputer sciencebusiness.industryFeature detectorCognitive NeuroscienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationComputerApplications_COMPUTERSINOTHERSYSTEMSPattern recognitionComputer Science Applications1707 Computer Vision and Pattern RecognitionMixture modelAerial images; Feature detector; Gaussian mixture models; Image registration; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive Neuroscience; Artificial IntelligenceComputer Science ApplicationsComputer Science::RoboticsComputer Science::Systems and ControlArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionAerial imagesComputer visionAerial reconnaissanceArtificial intelligenceGaussian mixture modelsbusinessAerial imageImage registration
researchProduct

The cryogenic anticoincidence detector for ATHENA-XMS: preliminary results from the new prototype

2012

ATHENA has been the re-scoped IXO mission, and one of the foreseen focal plane instrument was the X-ray Microcalorimeter Spectrometer (XMS) working in the energy range 0.3-10 keV, which was a kilo-pixel array based on TES (Transition Edge Sensor) detectors. The need of an anticoincidence (AC) detector is legitimated by the results performed with GEANT4 simulations about the impact of the non x-ray background onto XMS at L2 orbit (REQ. < 0.02 cts/cm2/s/keV). Our consortium has both developed and tested several samples, with increasing area, in order to match the large area of the XMS (64 mm2). Here we show the preliminary results from the last prototype. The results achieved in this work off…

Anticoincidence detectorLow temperature DetectorAnticoincidence detectorsAstrophysicsOrbital mechanicslaw.inventionOpticslawElectronicOptical and Magnetic MaterialsElectrical and Electronic EngineeringAnticoincidence detectors; High Energy Astrophysics; Low temperature Detectors; TES; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringPhysicsLow temperature DetectorsSpectrometerbusiness.industryApplied MathematicsElectronic Optical and Magnetic MaterialBolometerDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsApplied MathematicCardinal pointMillimeterSatelliteTransition edge sensorHigh Energy AstrophysicbusinessTESHigh Energy AstrophysicsSPIE Proceedings
researchProduct

A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
researchProduct

Asynchronous L1 control of delayed switched positive systems with mode-dependent average dwell time

2014

Abstract This paper investigates the stability and asynchronous L 1 control problems for a class of switched positive linear systems (SPLSs) with time-varying delays by using the mode-dependent average dwell time (MDADT) approach. By allowing the co-positive type Lyapunov–Krasovskii functional to increase during the running time of active subsystems, a new stability criterion for the underlying system with MDADT is first derived. Then, the obtained results are extended to study the issue of asynchronous L 1 control, where “asynchronous” means that the switching of the controllers has a lag with respect to that of system modes. Sufficient conditions are provided to guarantee that the resulti…

Asynchronous switchingInformation Systems and ManagementAsynchronous switching; Average dwell time; Positive system; Switched system; Time-varying delay; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementStability criterionComputer scienceLinear systemPositive systemComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsTime-varying delayStability (probability)Computer Science ApplicationsTheoretical Computer ScienceDwell timeExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theoryAsynchronous communicationAverage dwell timeSwitched systemSoftwareInformation Sciences
researchProduct