Search results for "Statistica"

showing 10 items of 5969 documents

The Impact of Single-Level ACDF on Neural Foramen and Disc Height of Surgical and Adjacent Cervical Segments: A Case-Series Radiological Analysis

2023

Background: ACDF has become one of the established procedures for the surgical treatment of symptomatic cervical spondylosis, showing excellent clinical results and effective improvements in neural functions and neck pain relief. The main purpose of ACDF is neural decompression, and it is considered by some authors as an indirect result of the intervertebral distraction and cage insertion and the consequent restoration of the disc space and foramen height. Methods: Radiological data from 28 patients who underwent single-level ACDF were retrospectively collected and evaluated. For neural foramen evaluation, antero-posterior (A-P) and cranio-caudal (C-C) diameters were manually calculated; fo…

neural decompressioncervical spondylosiSettore MED/27 - NeurochirurgiaGeneral Neuroscienceforaminal stenosiintervertebral distractioncervical cagecervical foramenforamen heightACDFACDF; cervical foramen; foramen height; cervical spondylosis; foraminal stenosis; cervical cage; intervertebral distraction; neural decompressionSettore MED/01 - Statistica MedicaBrain Sciences; Volume 13; Issue 1; Pages: 101
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Noise effect in a sine-Gordon Lattice

2013

International audience; This paper is devoted to the influence of internal noise in a sine-Gordon chain exhibiting the well known nonlinear supratransmission phenomenon. It is shown that spatiotemporal noise can trigger breather modes with a given probability in a range of parameters where they do not occur without noise. A frequency analysis is carried out to quantify the degree of coherence of the emitted breather. It is shown that there exists an appropriate amount of noise which ensures the existence of breather modes with the best coherence.

noiseBreather[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]Degree of coherence01 natural sciences010305 fluids & plasmaslaw.invention[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]law[ PHYS.PHYS.PHYS-BIO-PH ] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]Quantum mechanicsLattice (order)0103 physical sciencesPhase noise[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Statistical physics010306 general physicsNonlinear Sciences::Pattern Formation and SolitonsBreatherPhysicsFrequency analysis[PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]Quantum noiseShot noisecoherence resonance[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemStochastic resonance
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Quantum Non-Markovian Piecewise Dynamics from Collision Models

2017

Recently, a large class of quantum non-Markovian piecewise dynamics for an open quantum system obeying closed evolution equations has been introduced [B. Vacchini, Phys. Rev. Lett. 117, 230401 (2016)]. These dynamics have been defined in terms of a waiting-time distribution between quantum jumps, along with quantum maps describing the effect of jumps and the system's evolution between them. Here, we present a quantum collision model with memory, whose reduced dynamics in the continuous-time limit reproduces the above class of non-Markovian piecewise dynamics, thus providing an explicit microscopic realization.

non-Markovian dynamicsStatistics and ProbabilityLindblad equationFOS: Physical sciencesMarkov processnon-Markovian dynamic01 natural sciences010305 fluids & plasmasOpen quantum systemsymbols.namesake0103 physical sciencesLimit (mathematics)Statistical physics010306 general physicsQuantumMathematical PhysicsPhysicsQuantum PhysicsStatistical and Nonlinear PhysicsCollisioncollision model; Lindblad equation; non-Markovian dynamics; Open quantum system; Statistical and Nonlinear Physics; Statistics and Probability; Mathematical PhysicsDistribution (mathematics)Open quantum systemPiecewisesymbolscollision modelQuantum Physics (quant-ph)Realization (systems)Statistical and Nonlinear Physic
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A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2014

The present paper proposes a multi-objective design approach for the c chart, considering in the optimization process of the chart parameters both the statistical and the economic objectives. In particular, the minimization of the hourly total quality related costs is the considered objective to carry out the economic goal, whereas the statistical objective is reached by the minimization the out-of-control average run length of the chart. A mixed integer non-linear constrained mathematical model is formulated to solve the treated multi-objective optimization problem, whereas the Pareto optimal frontier is described by the «-constraint method. In order to show the employment of the proposed …

non-linear constrained mathematical programming ModelTaguchi loss functione-constraint methodstatistical process controlPareto optimal frontiermulti-objective optimization problemSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Smoothed score confidence interval for the breakpoint in segmented regression

2012

For the breakpoint parameter in segmented regression we consider confidence intervals based on the score statistic. Due to unsmoothness of the score, we propose to build the confidence intervals using its smoothed version under proper shape restrictions. Some simulations are presented to assess the finite sample performance of the proposed approach.

non-standard inferenceshape restrictionbreak-pointscoresegmented regressionSettore SECS-S/01 - Statistica
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Testing for a breakpoint in segmented regression: a pseudo score approach

2011

To overcome the well known oddities in testing for the existence of a breakpoint in segmented regression models, we discuss a novel approach based on the Pearson X2 statistic which can be understood as an approximation of the Score statistic. We describe the method and present results from some simulations.

non-standard inference.Segmented regressionbreak-pointhypothesis testingPearson chi-squaredSettore SECS-S/01 - Statistica
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Liver stiffness quantification in biopsy-proven nonalcoholic fatty liver disease patients using shear wave elastography in comparison with transient …

2021

Purpose: This study prospectively assessed the performance of liver stiffness measurements using point shear-wave elastography (p-SWE) in comparison with transient elastography (TE) in patients with biopsy-proven nonalcoholic fatty liver disease (NAFLD). Methods: Fifty-six consecutive adult patients with a histological diagnosis of NAFLD prospectively underwent TE and p-SWE on the same day. The median of 10 measurements (SWE-10), the first five (SWE-5), and the first three (SWE-3) measurements were analyzed for p-SWE. Liver biopsy was considered as the reference standard for liver fibrosis grade. Receiver operating characteristic (ROC) curves and areas under the ROC curves (AUROCs) were cal…

nonalcoholic fatty liver diseasemedicine.medical_specialtyGastroenterologySettore MED/01 - Statistica Medica030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineLiver stiffnessInternal medicineStatistical significanceBiopsyNonalcoholic fatty liver diseaseMedical technologymedicineRadiology Nuclear Medicine and imagingnonalcoholic steatohepatitisR855-855.5shear wave elastographymedicine.diagnostic_testReceiver operating characteristicbusiness.industryNonalcoholic fatty liver disease Nonalcoholic steatohepatitis Shear wave elastography Transient elastography Liver stiffnessmedicine.diseasetransient elastographyliver stiffnessLiver biopsyOriginal Article030211 gastroenterology & hepatologyElastographySettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessTransient elastographyUltrasonography
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Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

nonlinear dynamicComputer scienceReliability (computer networking)Biomedical signal processingPhysiologyCardiovascular controldynamical systemdirectionalityGranger causalitymultivariate regression modelingtime series analysiPredictabilityTime seriesElectrical and Electronic EngineeringStatistical hypothesis testingbusiness.industryheart rate variabilitytransfer entropypartial directed coherencepredictioncoupling strengthCausalityconditional mutual informationFrequency domainspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomplexityNeuroscience
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Numerical construction of the density-potential mapping

2018

We demonstrate how a recently developed method Nielsen et al. [Nielsen et al., EPL 101, 33001 (2013)] allows for a comprehensive investigation of time-dependent density functionals in general, and of the exact time-dependent exchange-correlation potential in particular, by presenting the first exact results for two- and three-dimensional multi-electron systems. This method is an explicit realization of the Runge–Gross correspondence, which maps time-dependent densities to their respective potentials, and allows for the exact construction of desired density functionals. We present in detail the numerical requirements that makes this method efficient, stable and precise even for large and rap…

numeeriset menetelmätSolid-state physicstiheysfunktionaaliteoriadensity-potential mappingZero (complex analysis)Complex systemBoundary (topology)02 engineering and technologyState (functional analysis)021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesElectronic Optical and Magnetic Materials0103 physical sciencesStatistical physicsBoundary value problem010306 general physics0210 nano-technologyCurrent densityRealization (systems)numerical constructionMathematicsThe European Physical Journal B
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Numerical Magnitude Affects Accuracy but Not Precision of Temporal Judgments

2021

A Theory of Magnitude (ATOM) suggests that space, time, and quantities are processed through a generalized magnitude system. ATOM posits that task-irrelevant magnitudes interfere with the processing of task-relevant magnitudes as all the magnitudes are processed by a common system. Many behavioral and neuroimaging studies have found support in favor of a common magnitude processing system. However, it is largely unknown whether such cross-domain monotonic mapping arises from a change in the accuracy of the magnitude judgments or results from changes in precision of the processing of magnitude. Therefore, in the present study, we examined whether large numerical magnitude affects temporal ac…

numerical magnitudeMagnitude (mathematics)Monotonic function050105 experimental psychologylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicine0501 psychology and cognitive sciencesStatistical physicslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryTemporal discriminationBiological PsychiatryMathematicsWeber ratio05 social sciencesHuman NeuroscienceBrief Research ReportMagnitude processingtemporal biasPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyLine (geometry)Temporal perceptiontemporal experience030217 neurology & neurosurgerytemporal perceptionFrontiers in Human Neuroscience
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