Search results for "camp"

showing 10 items of 1995 documents

“Conoscenze e comportamenti nei riguardi delle pratiche di tatuaggio e piercing in un campione di studenti universitari di Facoltà umanistiche e scie…

2008

Comportamenti a rischio - campagne di prevenzione
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Quel est le traitement réservé par le juge à un compte de campagne assorti d'un solde positif ne provenant pas de l'apport personnel de candidats ?

2023

Compte de campagneProcédure Contentieuse[SHS.DROIT] Humanities and Social Sciences/LawélectionOffice du jugeJuge de l'élection
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Progressive effect of beta amyloid peptides accumulation on CA1 pyramidal neurons: a model study suggesting possible treatments

2012

Several independent studies show that accumulation of β-amyloid (Aβ) peptides, one of the characteristic hallmark of Alzheimer's Disease (AD), can affect normal neuronal activity in different ways. However, in spite of intense experimental work to explain the possible underlying mechanisms of action, a comprehensive and congruent understanding is still lacking. Part of the problem might be the opposite ways in which Aβ have been experimentally found to affect the normal activity of a neuron; for example, making a neuron more excitable (by reducing the A- or DR-type K(+) currents) or less excitable (by reducing synaptic transmission and Na(+) current). The overall picture is therefore confus…

Computational modelion channels modulationAmyloidMechanism (biology)Model studyNeuroscience (miscellaneous)A?-peptideNeurotransmissionBiologyAlzheimer's diseaselcsh:RC321-571Cellular and Molecular Neurosciencemedicine.anatomical_structureAβ-peptidehippocampal neuronmedicinePremovement neuronal activityrealistic modelNeuronOriginal Research ArticleBeta (finance)Neurosciencelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscience
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Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

2020

ABSTRACTIn contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something important is missing in the way in which models are trying to reproduce basic cognitive functions. In this work, we introduce a new neuronal network architecture that is able to learn, in a single trial, an arbitrary long sequence of any known objects. The key point of the model is the explicit use of mechanisms and circuitry observed in the hippocampus, which allow the model to reach a level of efficiency and accuracy that, to the best of our…

Computer Networks and CommunicationsComputer scienceModels NeurologicalHippocampusAction PotentialsBrain modeling; Computer architecture; Hippocampus; Learning systems; Microprocessors; Navigation; Neurons; Persistent firing (PF); robot navigation; spike-timing-dependent-plasticity synapse; spiking neurons.Hippocampal formationHippocampus03 medical and health sciences0302 clinical medicineArtificial IntelligenceBiological neural network030304 developmental biologyNeurons0303 health sciencesSequenceSeries (mathematics)business.industryBasic cognitive functionsContrast (statistics)CognitionComputer Science ApplicationsSequence learningArtificial intelligenceNeural Networks ComputerbusinessSoftware030217 neurology & neurosurgeryIEEE transactions on neural networks and learning systems
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Segmenting the audience of a cause-related marketing viral campaign

2021

Abstract This paper analyses the attitudinal effect of a cause-related marketing campaign which becomes viral through social networks. This attitudinal response is observed in three Internet user segments with different affinity levels: i) strong (familiar with the sponsoring brand and the promoted cause); ii) intermediate (familiar with the brand or the cause); and iii) weak (without previous experiences of either the brand or the social cause). To develop our experiment, 360 Internet surfers agree to participate. Their attitudes were measured before and after the showing of a viral spot in which a pet food brand encourages pet adoption. Our results show that a viral campaign works perfect…

Computer Networks and Communicationsbusiness.industry05 social sciences02 engineering and technologyLibrary and Information SciencesPet foodMarket segmentation020204 information systems0502 economics and business0202 electrical engineering electronic engineering information engineering050211 marketingThe InternetMarketing campaignMarketingbusinesshealth care economics and organizationsInformation SystemsInternational Journal of Information Management
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Single neuron binding properties and the magical number 7

2008

When we observe a scene, we can almost instantly recognize a familiar object or can quickly distinguish among objects differing by apparently minor details. Individual neurons in the medial temporal lobe of humans have been shown to be crucial for the recognition process, and they are selectively activated by different views of known individuals or objects. However, how single neurons could implement such a sparse and explicit code is unknown and almost impossible to investigate experimentally. Hippocampal CA1 pyramidal neurons could be instrumental in this process. Here, in an extensive series of simulations with realistic morphologies and active properties, we demonstrate how n radial (ob…

Computer scienceCognitive NeuroscienceModels NeurologicalHippocampusCA1 pyramidal neuronHippocampusTemporal lobesynaptic integrationmedicineCode (cryptography)Humansoblique dendritesNeuronsbinding proceSettore INF/01 - InformaticahippocampuProcess (computing)Oblique casefood and beveragesObject (computer science)computational modelmedicine.anatomical_structureMemory Short-TermNeuronNeural codingNeuroscience
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A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior.

2011

The neural mechanisms underlying schizophrenic behavior are unknown and very difficult to investigate experimentally, although a few experimental and modeling studies suggested possible causes for some of the typical psychotic symptoms related to this disease. The brain region most involved in these processes seems to be the hippocampus, because of its critical role in establishing memories for objects or events in the context in which they occur. In particular, a hypofunction of the N-methyl-D-aspartate (NMDA) component of the synaptic input on the distal dendrites of CA1 pyramidal neurons has been suggested to play an important role for the emergence of schizophrenic behavior. Modeling st…

Computer scienceCognitive Neurosciencemedia_common.quotation_subjectSchizophrenia Realistic model CA1 Hippocampus Object recognition Synaptic integrationCentral nervous systemModels NeurologicalCa1 neuronHippocampusHippocampal formationSynapse03 medical and health sciences0302 clinical medicineArtificial IntelligencePerceptionmedicineAnimalsHumansInvariant (mathematics)CA1 Region Hippocampal030304 developmental biologymedia_common0303 health sciencesRecallArtificial neural networkPyramidal NeuronSynaptic integrationPyramidal CellsCognitive neuroscience of visual object recognitionDendritesmedicine.diseasemedicine.anatomical_structurenervous systemSchizophreniaSynapsesSchizophreniaNMDA receptorNeuronNerve NetNeuroscience030217 neurology & neurosurgeryNeural networks : the official journal of the International Neural Network Society
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Error mitigation using RaptorQ codes in an experimental indoor free space optical link under the influence of turbulence

2015

In free space optical (FSO) communications, several factors can strongly affect the link quality. Among them, one of the most important impairments that can degrade the FSO link quality and its reliability even under the clear sky conditions consists of optical turbulence. In this work, the authors investigate the generation of both weak and moderate turbulence regimes in an indoor environment to assess the FSO link quality. In particular, they show that, due to the presence of the turbulence, the link experiences both erasure errors and packet losses during transmission, and also compare the experimental statistical distribution of samples with the predicted Gamma Gamma model. Furthermore,…

Computer scienceOptical linkReliability (computer networking)Optical linksTelecommunication network reliabilityRytov variance valueSettore ING-INF/01 - ElettronicaTelecomunicacióRaptorQ codesRedundancy (information theory)Indoor free space optical linkFSO communicationsStatisticsTEORIA DE LA SEÑAL Y COMUNICACIONESRedundancy (engineering)Gamma Gamma modelrateless codeElectrical and Electronic Engineeringpacket error rate (PER)Error-free transmissionNetwork packetbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ING-INF/02 - Campi ElettromagneticiÒpticaComputer Science ApplicationsTransmission (telecommunications)Bit error rateErasureProbability distributionFree Space Optical (FSO) communicationTelecommunicationsbusinessOptical turbulenceFSO link reliabilityindoor linkError mitigation
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Quantification and automatized adaptive detection of in vivo and in vitro neuronal bursts based on signal complexity.

2015

In this paper, we propose employing entropy values to quantify action potential bursts in electrophysiological measurements from the brain and neuronal cultures. Conventionally in the electrophysiological signal analysis, bursts are quantified by means of conventional measures such as their durations, and number of spikes in bursts. Here our main aim is to device metrics for burst quantification to provide for enhanced burst characterization. Entropy is a widely employed measure to quantify regularity/complexity of time series. Specifically, we investigate the applicability and differences of spectral entropy and sample entropy in the quantification of bursts in in vivo rat hippocampal meas…

Computer scienceQuantitative Biology::Tissues and OrgansAstrophysics::High Energy Astrophysical PhenomenaEntropyCell Culture TechniquesElectrophysiological PhenomenaAction Potentialsta3112HippocampusEntropy (classical thermodynamics)In vivoEntropy (information theory)AnimalsEntropy (energy dispersal)Rats WistarEntropy (arrow of time)ta217NeuronsSignal processingQuantitative Biology::Neurons and Cognitionta213Entropy (statistical thermodynamics)Signal Processing Computer-Assistedadaptive detectionelectrophysiological signal analysisquantificationneuronal burstsElectrophysiological PhenomenaSample entropyElectrophysiologyElectrophysiologyMicroelectrodeBiological systemNeuroscienceMicroelectrodesEntropy (order and disorder)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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The RFID technology for neurosciences: feasibility of limbs' monitoring in sleep diseases.

2009

This contribution investigates the feasibility of the passive UHF RF identification technology for the wireless monitoring of human body movements in some common sleep disorders by means of passive tags equipped with inertial switches. Electromagnetic and mechanical models as well as preliminary experimentations are introduced to analyze all the significant issues concerning the required power, the tag antenna design, the read distance, and the expected biosignals collected by the interrogation device.

Computer scienceRemote patient monitoringRadio WavesPolysomnographytag antennaRFID sensor Human health monitoringAccelerometerRF identification (RFID)MotionRestless Legs SyndromemedicineWirelessHumansTelemetryaccelerometer; RF identification (RFID); sensor network; sleep disorder; tag antennaElectrical and Electronic Engineeringsensor networksleep disorderSleep disorderbusiness.industrySettore ING-INF/02 - Campi ElettromagneticiExtremitiesGeneral MedicineModels Theoreticalmedicine.diseaseComputer Science ApplicationsNocturnal Myoclonus SyndromeaccelerometerRadio frequencySleep (system call)TelecommunicationsbusinessWireless sensor networkComputer hardwareAlgorithmsBiotechnologyIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
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