Search results for "Linea"

showing 10 items of 7724 documents

A modified applicative criterion of the physical model concept for evaluating plot soil erosion predictions

2015

Abstract In this paper, the physical model concept by Nearing (1998. Catena 32: 15–22) was assessed. Soil loss data collected on plots of different  widths (2–8 m), lengths (11–44 m) and steepnesses (14.9–26.0%), equipped in south and central Italy, were used. Differences in width between plots of given length and steepness determined a lower data correlation and more deviation of the fitted regression line from the identity one. A coefficient of determination between measured, M , and predicted, P , soil losses of 0.77 was representative of the best-case prediction scenario, according to Nearing (1998). The relative differences, Rdiff  = ( P − M ) / ( P + M ), decreased in absolute value a…

Coefficient of determinationSoil loss dataAbsolute value (algebra)Plot measurementPlot (graphics)Soil erosion; Plot measurements; Soil loss data; Physical modelPhysical modelSoil lossLinear regressionStatisticsErosionRange (statistics)Soil erosionPlot measurementsSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEquivalence (measure theory)Earth-Surface ProcessesMathematics
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Active spike transmission in the neuron model with a winding threshold manifold

2012

International audience; We analyze spiking responses of excitable neuron model with a winding threshold manifold on a pulse stimulation. The model is stimulated with external pulse stimuli and can generate nonlinear integrate-and-fire and resonant responses typical for excitable neuronal cells (all-or-none). In addition we show that for certain parameter range there is a possibility to trigger a spiking sequence with a finite number of spikes (a spiking message) in the response on a short stimulus pulse. So active transformation of N incoming pulses to M (with M>N) outgoing spikes is possible. At the level of single neuron computations such property can provide an active "spike source" comp…

Cognitive Neuroscience[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]Threshold manifoldBiological neuron modelMachine learningcomputer.software_genreTopology01 natural sciences010305 fluids & plasmaslaw.inventionSpike encodingArtificial Intelligencelaw0103 physical sciences010306 general physicsSpike transmissionActive responseBifurcationMathematicsExcitabilityQuantitative Biology::Neurons and Cognitionbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceDissipationComputer Science ApplicationsPulse (physics)[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemTransmission (telecommunications)Nonlinear dynamics[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceSpike (software development)Artificial intelligencebusinessManifold (fluid mechanics)computer
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Cognitive impairment in relapsing-remitting multiple sclerosis can be predicted by imaging performed several years earlier.

2007

Cognitive deficits in multiple sclerosis (MS) are common and correlate with contemporary MRI brain abnormalities, particularly atrophy, but the ability of imaging early in the disease to predict later cognitive impairment remains to be determined. Thirty relapsing—remitting MS patients recruited within three years of the onset of the disease, and in whom MRI had been performed at baseline and a year later, were assessed neuropsychologically five years later. Imaging parameters accounting for significant variance in cognitive performance were identified using multiple regressions, once confounding variables were controlled. Patients performed significantly worse than expected on tests of at…

Cognitive deficits in multiple sclerosisAdultMalePediatricsmedicine.medical_specialtyDevelopmental psychologyCentral nervous system diseaseDisability EvaluationAtrophyDegenerative diseaseMultiple Sclerosis Relapsing-Remittingrelapsing-remitting multiple sclerosiPredictive Value of TestsmedicineHumansMultiple sclerosiCognitive impairmentMultiple sclerosisCognitive disorderCognitionMiddle Agedmedicine.diseaseMagnetic Resonance ImagingEarly DiagnosisNeurologyRelapsing remittingLinear ModelsFemaleNeurology (clinical)AtrophyPsychologyCognition DisordersFollow-Up StudiesMultiple sclerosis (Houndmills, Basingstoke, England)
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Prediction of the difficulty level in a standardized reading comprehension test: contributions from cognitive psychology and psychometrics

2013

This research seeks to identify possible predictors of the difficulty level of reading comprehension items used in a standardized psychometric test for university admission. Several potential predictors of difficulty were proposed, namely, propositional density, negations, grammatical structure, vocabulary difficulty, presence of enhancement elements (words highlighted typographically), item abstraction level and degree of similarity between correct option and relevant text to resolve the item. By Linear Logistic Test Model (Fisher, 1973) it was found that the number of propositions, the syntactic structure, and fundamentally, the presence of difficult words contributed to the prediction of…

Cognitive psychology language processing reading comprehension Item Response Theory Linear Logistic Test Model Task Analysis Item difficulty level.PsychometricsItem Response Theorylanguage processingreading comprehensionlcsh:LB5-3640EducationTest (assessment)lcsh:Theory and practice of educationReading comprehensionCognitive psychologyLinear Logistic Test ModelPsychologyTask AnalysisCognitive psychologyRELIEVE - Revista Electrónica de Investigación y Evaluación Educativa
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Distributed Pseudo-Gossip Algorithm and Finite-Length Computational Codes for Efficient In-Network Subspace Projection

2013

In this paper, we design a practical power-efficient algorithm for Wireless Sensor Networks (WSN) in order to obtain, in a distributed manner, the projection of an observed sampled spatial field on a subspace of lower dimension. This is an important problem that is motivated in various applications where there are well defined subspaces of interest (e.g., spectral maps in cognitive radios). As opposed to traditional Gossip Algorithms used for subspace projection, where separation of channel coding and computation is assumed, our algorithm combines binary finite-length Computational Coding and a novel gossip-like protocol with certain communication rules, achieving important savings in conve…

Cognitive radioTheoretical computer scienceComputationSignal ProcessingBinary numberEnergy consumptionElectrical and Electronic EngineeringLinear subspaceWireless sensor networkAlgorithmSubspace topologyMathematicsCoding (social sciences)IEEE Journal of Selected Topics in Signal Processing
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Bodily Engagement in Multimodal Interaction

2010

The creative processes of interaction design operate in terms we generally use for conceptualising human-computer interaction (HCI). Therefore the prevailing design paradigm provides a framework that essentially affects and guides the design process. We argue that the current mainstream design paradigm for multimodal user-interfaces takes human sensory-motor modalities and the related userinterface technologies as separate channels of communication between user and an application. Within such a conceptualisation, multimodality implies the use of different technical devices in interaction design. This chapter outlines an alternative design paradigm, which is based on an action-oriented persp…

Cognitive scienceBasis (linear algebra)Human–computer interactionPsychologyDesign paradigmMultimodal interaction
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Modeling Developmental Processes in Psychology

2013

In the present article I suggest first that modeling in psychology can be described as an interactive process between a phenomenon under study (reality) and different levels of theoretical conceptualizations that vary in respect to how directly they can be related to empirical observations and at what level of generalization they operate. Then, I give three examples of my own work concerning building theories and testing models. Next, I discuss some caveats scientists face when building theories and models on the basis of their observations. Finally, I make a few conclusions on the basis of the article. peerReviewed

Cognitive scienceMultidisciplinaryBasis (linear algebra)Computer scienceGeneralizationProcess (engineering)Face (sociological concept)ModellingEpistemologyHistory and Philosophy of SciencePhenomenonModeling developmental processes in psychologyEmpirical evidenceta515Perspectives on Science
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Computing the Cell

2015

Here I call for the need to revisit cell theory. The idea that the cell is the basic unit of life is well-known and foundational to Biology, but it has not received sufficient attention. We have increasingly detailed knowledge of the intracellular world and all its components, but these are often considered independently. On the other hand, there is excessive theorising about the cell on the basis of its being a black box. The time is ripe to formulate an integrative cell theory .

Cognitive sciencemedicine.anatomical_structureBasis (linear algebra)Cell theoryBlack boxCellExplanatory theorymedicineIntracellular
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A Functional Near-Infrared Spectroscopy Examination of the Neural Correlates of Cognitive Shifting in Dimensional Change Card Sort Task

2020

This study aims to examine the neural correlates of cognitive shifting during the Dimensional Change Card Sort Task (DCCS) task with functional near-infrared spectroscopy. Altogether 49 children completed the DCCS tasks, and 25 children (Mage = 68.66, SD = 5.3) passing all items were classified into the Switch group. Twenty children (Mage = 62.05, SD = 8.13) committing more than one perseverative errors were grouped into the Perseverate group. The Switch group had Brodmann Area (BA) 9 and 10 activated in the pre-switch period and BA 6, 9, 10, 40, and 44 in the post-switch period. In contrast, the Perseverate group had BA 9 and 10 activated in the pre-switch period and BA 8, 9, 10 in the pos…

Cognitive shiftingneural correlates050105 experimental psychologylcsh:RC321-571Task (project management)03 medical and health sciencesBehavioral Neuroscience0302 clinical medicinedimensional change card sort taskfunctional near-infrared spectroscopy0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchGeneral linear modelNeural correlates of consciousness05 social sciencesdevelopmental patternContrast (statistics)Human NeurosciencePsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyCard sortingcognitive shiftingFunctional near-infrared spectroscopyPsychology030217 neurology & neurosurgeryBrodmann areaCognitive psychologyFrontiers in Human Neuroscience
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A nonlinear electronic circuit mimicking the neuronal activity in presence of noise

2013

We propose a nonlinear electronic circuit simulating the neuronal activity in a noisy environment. This electronic circuit is ruled by the set of Bonhaeffer-Van der Pol equations and is excited with a white gaussian noise, that is without external deterministic stimuli. Under these conditions, our circuits reveals the Coherence Resonance signature, that is an optimum of regularity in the system response for a given noise intensity.

Coherence ResonanceStochastic resonanceneural network[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]02 engineering and technologyTopology01 natural sciencesNoise (electronics)symbols.namesakeComputer Science::Emerging TechnologiesNoise generator[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Control theory[ PHYS.PHYS.PHYS-BIO-PH ] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]0103 physical sciences[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]0202 electrical engineering electronic engineering information engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Value noisestochastic resonance010306 general physicsComputingMilieux_MISCELLANEOUSPhysics[PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]020208 electrical & electronic engineeringShot noiseWhite noiseNoise floor[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsGaussian noisesymbolsnonlinear circuit
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