Search results for "sfi"

showing 10 items of 221 documents

SVB en el adulto: parada cardiorespiratoria B

2010

Procedimiento a seguir en la técnica de desfibrilación externa automática (DEA).

Soporte vital básicoadultodesfibrilación externa automática3213.11 Ciències MédiquesFisioterapia3213.11- Farmacia Medicina
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Spat' chocetsja e The Child-Who-Was-Tired: procedimenti e tecniche narrative a confronto

2019

Il saggio mira a comparare le tecniche narrative di due racconti: Spat' chocetsja di A. Cechov e The Child-Was-tired di K. Mansfield. L'articolo prende in esame l'impiego di alcune tecniche narrative, simili e differenti, elaborate dai due scrittori al fine di enucleare l'originalità delle due opere. L'analisi di focalizza principalmente su tre elementi ricorrenti delle due narrazioni: la strada, le due eroine, gli infanticidi, al fine di sottolineare i contenuti ideologici e i molteplici significati simbolici.

Spat' chocetsja Anton Cechov The Child-Was-tired K. Mansfield tecniche narrative strada eroine infanticidi
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Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT.

2020

Background: Our study assesses the diagnostic value of different features extracted from high resolution computed tomography (HRCT) images of patients with idiopathic pulmonary fibrosis. These features are investigated over a range of HRCT lung volume measurements (in Hounsfield Units) for which no prior study has yet been published. In particular, we provide a comparison of their diagnostic value at different Hounsfield Unit (HU) thresholds, including corresponding pulmonary functional tests. Methods: We consider thirty-two patients retrospectively for whom both HRCT examinations and spirometry tests were available. First, we analyse the HRCT histogram to extract quantitative lung fibrosis…

Spirometrymusculoskeletal diseasesHigh-resolution computed tomographyhigh resolution computed tomographyClinical Biochemistry-Article030218 nuclear medicine & medical imagingPulmonary function testing03 medical and health sciencesIdiopathic pulmonary fibrosis0302 clinical medicineRadiomicsHounsfield scalemedicineSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:R5-920Lungmedicine.diagnostic_testbusiness.industryLung fibrosisrespiratory systemmedicine.diseaseidiopathic pulmonary fibrosisrespiratory tract diseasesmedicine.anatomical_structure030228 respiratory systemradiomicslcsh:Medicine (General)businessNuclear medicineDiagnostics (Basel, Switzerland)
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Sparse Sampling and Maximum Likelihood Estimation for Boolean Models

1991

A condition for practical independence of contact distribution functions in Boolean models is obtained. This result allows the authors to use maximum likelihcod methods, via sparse sampling, for estimating unknown parameters of an isotropic Boolean model. The second part of this paper is devoted to a simulation study of the proposed method. AMS classification: 60D05

Statistics and ProbabilityBiometricsBoolean modelIsotropySampling (statistics)General MedicineLikelihood-ratio testStatisticsMaximum satisfiability problemStatistics Probability and UncertaintyAlgorithmIndependence (probability theory)Standard Boolean modelMathematicsBiometrical Journal
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Dynamics of a financial market index after a crash

2002

We discuss the statistical properties of index returns in a financial market just after a major market crash. The observed non-stationary behavior of index returns is characterized in terms of the exceedances over a given threshold. This characterization is analogous to the Omori law originally observed in geophysics. By performing numerical simulations and theoretical modelling, we show that the nonlinear behavior observed in real market crashes cannot be described by a GARCH(1,1) model. We also show that the time evolution of the Value at Risk observed just after a major crash is described by a power-law function lacking a typical scale.

Statistics and ProbabilityStatistical Finance (q-fin.ST)Index (economics)Actuarial scienceStatistical Mechanics (cond-mat.stat-mech)EconophysicsScale (ratio)Autoregressive conditional heteroskedasticityFinancial marketFOS: Physical sciencesQuantitative Finance - Statistical FinanceCrashFunction (mathematics)Condensed Matter PhysicsFOS: Economics and businessEconophysicsFinancial marketsCrashesValue at RiskEconometricsEconomicsCondensed Matter - Statistical MechanicsValue at riskPhysica A: Statistical Mechanics and its Applications
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Mobile-kriisipuhelinpalvelun asiakaslähtöinen laadunarviointi

1998

TQM-johtamisfilosofiapuhelinasiakasasiakasanalyysiMobile-kriisipalvelulaatu
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Combining finite learning automata with GSAT for the satisfiability problem

2010

A large number of problems that occur in knowledge-representation, learning, very large scale integration technology (VLSI-design), and other areas of artificial intelligence, are essentially satisfiability problems. The satisfiability problem refers to the task of finding a satisfying assignment that makes a Boolean expression evaluate to True. The growing need for more efficient and scalable algorithms has led to the development of a large number of SAT solvers. This paper reports the first approach that combines finite learning automata with the greedy satisfiability algorithm (GSAT). In brief, we introduce a new algorithm that integrates finite learning automata and traditional GSAT use…

Theoretical computer scienceLearning automataComputer scienceRandom walkSatisfiabilitySet (abstract data type)Artificial IntelligenceControl and Systems EngineeringMaximum satisfiability problemBenchmark (computing)Combinatorial optimizationBoolean expressionElectrical and Electronic EngineeringBoolean satisfiability problemAlgorithmEngineering Applications of Artificial Intelligence
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Solving Graph Coloring Problems Using Learning Automata

2008

The graph coloring problem (GCP) is a widely studied combinatorial optimization problem with numerous applications, including time tabling, frequency assignment, and register allocation. The growing need for more efficient algorithms has led to the development of several GCP solvers. In this paper, we introduce the first GCP solver that is based on Learning Automata (LA). We enhance traditional Random Walk with LA-based learning capability, encoding the GCP as a Boolean satisfiability problem (SAT). Extensive experiments demonstrate that the LA significantly improve the performance of RW, thus laying the foundation for novel LA-based solutions to the GCP.

Theoretical computer scienceLearning automataEncoding (memory)Frequency assignmentCombinatorial optimizationGraph coloringSolverBoolean satisfiability problemMathematicsRegister allocation
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Estudio transversal de medición de la composición corporal en pacientes con cáncer mediante antropometría y técnicas de imagen médica

2019

Introducción: Analizar la composición corporal tanto mediante técnicas antropométricas y parámetros bioquímicos clásicos, como mediante técnicas modernas utilizando tomografía computarizada (TC), en pacientes oncológicos antes de iniciar el tratamiento con radioterapia.Metodología: Se analizaron de forma retrospectiva 22 pacientes con diversos tumores del aparato digestivo, que fueron sometidos al TC de planificación antes de iniciar el tratamiento con radioterapia, y que disponían de un corte axial en la tercera vértebra lumbar. Para analizar la composición corporal, se determinaron tanto parámetros antropométricos y bioquímicos clásicos, como la determinación de la masa muscular mediante …

TomografíaDesnutriciónRC620-627WaistDesnutrición.Perimeter03 medical and health sciences0302 clinical medicineRadioterapiaHounsfield scaleMedicineTX341-641Composición CorporalNutritional diseases. Deficiency diseasesNutrition and DieteticsNutrition. Foods and food supplybusiness.industryAnthropometryCircumferenceClinical Practice030220 oncology & carcinogenesis030211 gastroenterology & hepatologyRadiotherapy treatmentNuclear medicinebusinessFood ScienceArithmetic mean
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Tomografía computarizada a nivel de C3 y dinamometría como técnicas de diagnóstico de sarcopenia en pacientes con cáncer de cabeza y cuello

2020

Introducción: Estudio piloto que determina el diagnóstico de sarcopenia mediante tomografía computarizada (TC) a nivel de la tercera vértebra cervical (C3) y dinamometría en pacientes con cáncer de cabeza y cuello. Comparación de la masa magra (MM) determinada mediante TC con técnicas clásicas de antropometría y dinamometría.Material y métodos: Se analizó la MM y el tejido adiposo mediante TC a nivel de C3 en 37 pacientes oncológicos mediante Unidades Hounsfield (UH). Posteriormente, se calculó el índice musculoesquelético (IME) y se determinó la fuerza prensora de mano para la determinación de sarcopenia. Por último, se comparó el IME mediante técnicas de valoración antropométrica clásica …

TomografíaSarcopeniaRC620-627Adipose tissueNeoplasias de Cabeza y CuelloPositive correlationVértebras Cervicales03 medical and health sciences0302 clinical medicineDinamómetro de Fuerza MuscularMúsculos del CuelloHounsfield scalemedicineTX341-641Sarcopenic obesity030212 general & internal medicineNutritional diseases. Deficiency diseasesNutrition and DieteticsNutrition. Foods and food supplybusiness.industryHead and neck cancerFuerza MuscularSkeletal muscleThird cervical vertebramedicine.diseasemedicine.anatomical_structure030220 oncology & carcinogenesisSarcopeniaNuclear medicinebusinessFood ScienceRevista Española de Nutrición Humana y Dietética
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