Search results for "CRITERIA"

showing 10 items of 582 documents

Recurrence of hepatocellular carcinoma after liver transplantation: an update.

2015

Liver transplantation is the only curative alternative for selected patients with hepatocellular carcinoma (HCC) who are not eligible for resection and/or with decompensated cirrhosis. According to Milan criteria the 5-year survival rate is 70–85%, with a recurrence-free survival of 75%. However, HCC recurrence rate after liver transplantation remains a significant problem in the clinical practice. The prognosis in patients with HCC recurrence is poor. The treatment of choice for HCC recurrence is surgery, but it seems that a systemic treatment based on combination of an mTOR inhibitor with sorafenib can be used. Data on safety and efficacy are limited, clinical monitoring is necessary. Th…

SorafenibOncologyCancer Researchmedicine.medical_specialtyrecurrenceCarcinoma Hepatocellularmedicine.medical_treatmentliving donorLiver transplantationMilan criteriaGastroenterologyLeukocyte CountRisk FactorsInternal medicinemedicineBiomarkers TumorCombined Modality TherapyHumansalpha-FetoproteinPerioperative PeriodSurvival rateimmunosuppressionbusiness.industryRisk FactorLiver NeoplasmsImmunosuppressionGeneral MedicinePerioperativehepatocellular carcinomamedicine.diseaseCombined Modality Therapydigestive system diseasesLiver TransplantationTumor BurdenOncologyLiver NeoplasmHepatocellular carcinomaalpha-FetoproteinsNeoplasm Recurrence Localbusinessmedicine.drugHumanFuture oncology (London, England)
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Immediate effects of the respiratory stimulation on ventilation parameters in ischemic stroke survivors: A randomized interventional study (CONSORT).

2019

Background: Post-stroke brain damage, which affects the central control of respiration, leads to various respiratory disorders. They can be caused by the weakening of the respiratory muscles and chest movements, which can indirectly contribute to an impairment of the ventilation function. The aim of the study is an objective assessment of the effect of a single-session intervention of respiratory stimulation through Proprioceptive Neuromuscular Facilitation (PNF) on chosen respiratory parameters and the following comparison of these changes with a group in which positioning was used (intra- and intergroup comparison). Methods: This was a randomized interventional study evaluating the respir…

SpirometryMaleischemic cerebral strokerespiratory parametersproprioceptive neuromuscular facilitationlaw.inventionBrain Ischemia03 medical and health sciencesFEV1/FVC ratio0302 clinical medicineRandomized controlled triallawMuscle Stretching ExercisesMedicineHumans030212 general & internal medicineSurvivorsRespiratory systemAgedmedicine.diagnostic_testbusiness.industryRespirationStroke RehabilitationGeneral MedicineClinical Trial/Experimental StudyMiddle Aged6300Respiratory MusclesStrokemedicine.anatomical_structureControl of respiration030220 oncology & carcinogenesisAnesthesiaInclusion and exclusion criteriaBreathingFemalebusinessRespiratory tractResearch ArticleMedicine
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The importance of standard operating procedures in physical fitness assessment: a brief review

2022

Abstract Background Physical fitness status is a key aspect of health and, consequently, it is important to create and adopt appropriate interventions to maintain or improve it, and assess it using valid measures. While in other testing contexts, standard operating procedures (SOPs) are commonly and widely adopted, in physical fitness testing, a variety of unstandardized testing protocols are proposed. Aims The topic of this review was to evaluate the existing literature on SOPs in physical fitness assessment and to provide guidelines on how SOPs could be created and adopted. Method The electronic databases PubMed, Web of Science and Scopus were screened and original, peer-reviewed studies …

Sports healthmedicine.medical_specialtySports medicinePhysical activitySport scienceComputer sciencebusiness.industryOperating proceduresPhysical fitnessPsychological interventionScopusField (computer science)SOPVariety (cybernetics)Risk analysis (engineering)Physical educationInclusion and exclusion criteriaProtocolmedicineOrthopedics and Sports MedicinebusinessSport Sciences for Health
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A computationally fast alternative to cross-validation in penalized Gaussian graphical models

2015

We study the problem of selection of regularization parameter in penalized Gaussian graphical models. When the goal is to obtain the model with good predicting power, cross validation is the gold standard. We present a new estimator of Kullback-Leibler loss in Gaussian Graphical model which provides a computationally fast alternative to cross-validation. The estimator is obtained by approximating leave-one-out-cross validation. Our approach is demonstrated on simulated data sets for various types of graphs. The proposed formula exhibits superior performance, especially in the typical small sample size scenario, compared to other available alternatives to cross validation, such as Akaike's i…

Statistics and ProbabilityFOS: Computer and information sciencesGaussianInformation CriteriaCross-validationMethodology (stat.ME)symbols.namesakeBayesian information criterionStatisticsPenalized estimationGeneralized approximate cross-validationGraphical modelSDG 7 - Affordable and Clean EnergyStatistics - MethodologyMathematics/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyKullback-Leibler loApplied MathematicsEstimatorCross-validationGaussian graphical modelSample size determinationModeling and SimulationsymbolsInformation criteriaStatistics Probability and UncertaintyAkaike information criterionSettore SECS-S/01 - StatisticaAlgorithm
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Statistical relationship between hardness of drinking water and cerebrovascular mortality in Valencia: a comparison of spatiotemporal models

2003

The statistical detection of environmental risk factors in public health studies is usually difficult due to the weakness of their effects and their confounding with other covariates. Small area geographical data bring the opportunity of observing health response in a wide variety of exposure values. Temporal sequences of these geographical datasets are crucial to gaining statistical power in detecting factors. The spatiotemporal models required to perform the statistical analysis have to allow for spatial and temporal correlations, which are more easily modelled via hierarchical structures of hidden random factors. These models have produced important research activity during the last deca…

Statistics and ProbabilityOperations researchComputer scienceEcological ModelingBayesian probabilityBayes factorMarkov chain Monte CarloDeviance (statistics)Information CriteriaStatistical powerDeviance information criterionsymbols.namesakeCovariateStatisticssymbolsEnvironmetrics
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Selecting the tuning parameter in penalized Gaussian graphical models

2019

Penalized inference of Gaussian graphical models is a way to assess the conditional independence structure in multivariate problems. In this setting, the conditional independence structure, corresponding to a graph, is related to the choice of the tuning parameter, which determines the model complexity or degrees of freedom. There has been little research on the degrees of freedom for penalized Gaussian graphical models. In this paper, we propose an estimator of the degrees of freedom in $$\ell _1$$ -penalized Gaussian graphical models. Specifically, we derive an estimator inspired by the generalized information criterion and propose to use this estimator as the bias term for two informatio…

Statistics and ProbabilityStatistics::TheoryKullback–Leibler divergenceKullback-Leibler divergenceComputer scienceGaussianInformation Criteria010103 numerical & computational mathematicsModel complexityModel selection01 natural sciencesTheoretical Computer Science010104 statistics & probabilitysymbols.namesakeStatistics::Machine LearningGeneralized information criterionEntropy (information theory)Statistics::MethodologyGraphical model0101 mathematicsPenalized Likelihood Kullback-Leibler Divergence Model Complexity Model Selection Generalized Information Criterion.Model selectionEstimatorStatistics::ComputationComputational Theory and MathematicsConditional independencesymbolsPenalized likelihoodStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaAlgorithmStatistics and Computing
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Optimization and Multicriteria Evaluation of District Heat Production and Storage

2019

Climate change mitigation policy requires reducing dependence on fossil fuels and transition to low carbon energy production in district heating (DH). We study here inclusion of two kinds of renewable energy to a CHP based DH system in Finland: solar heat and ground source heat. In addition, we apply heat storages to balance the gap between production and fluctuating demand. The optimal operation of the extended systems is determined by a simulation and optimization model to minimize the operating costs. We evaluate the different possible extensions in terms of multiple economic, technical and environmental criteria using Stochastic Multicriteria Acceptability Analysis (SMAA). The results s…

Stochastic multicriteria acceptability analysisClimate change mitigationCarbon neutralitybusiness.industrySolar heatFossil fuelEnvironmental engineeringProduction (economics)Environmental sciencebusinessRenewable energy
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A stochastic method for robustness analysis in sorting problems

2009

ELECTRE TRI is a multiple criteria decision aiding sorting method with a history of successful real-life applications. In ELECTRE TRI, values for certain parameters have to be provided. We propose a new method, SMAA-TRI, that is based on stochastic multicriteria acceptability analysis (SMAA), for analyzing the stability of such parameters. The stability analysis can be used for deriving robust conclusions. SMAA-TRI allows ELECTRE TRI to be used with uncertain, arbitrarily distributed values for weights, the lambda cutting level, and profiles. The method consists of analyzing finite spaces of arbitrarily distributed parameter values. Monte Carlo simulation is applied in this in order to desc…

Stochastic multicriteria acceptability analysisMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer sciencebusiness.industryMonte Carlo methodManagement Science and Operations ResearchMultiple-criteria decision analysisIndustrial and Manufacturing EngineeringRisk analysis (business)Distributed parameter systemRobustness (computer science)Modeling and SimulationMultiple criteriaArtificial intelligenceELECTREbusinessRisk assessmentEuropean Journal of Operational Research
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Structural analysis of the back supporting structure of the DEMO WCLL outboard blanket

2017

Abstract Within the framework of EUROfusion R&D activities an intense research campaign has been carried out at the University of Palermo, in close cooperation with ENEA Brasimone, in order to investigate the thermo-mechanical performances of the outboard segment Back-Supporting Structure (BSS) of the DEMO Water-Cooled Lithium Lead breeding blanket (WCLL). In particular, the configuration of the outboard segment BSS, purposely set-up by the WCLL project team during 2015 according to the blanket “multi-module system” concept, has been taken into account in order to study its steady state thermo-mechanical behaviour, paying attention to the simulation of both modules-BSS and BSS-vacuum vessel…

Structure (mathematical logic)business.industryComputer scienceMechanical EngineeringDEMO reactor WCLL blanket BSSDEMO reactorStructural engineeringBlanket01 natural sciencesProject teamFinite element method010305 fluids & plasmasWCLL blanketGeometric designNuclear Energy and EngineeringLinearization0103 physical sciencesSafety criteriaGeneral Materials Science010306 general physicsbusinessBSSSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringFusion Engineering and Design
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Multi-criteria risk classification to enhance complex supply networks performance

2021

[EN] Management of complex supply networks is a fundamental business topic today. Especially in the presence of many and diverse stakeholders, identifying and assessing those risks having a potential negative impact on the performance of supply processes is of utmost importance and, as a result, implementing focused risk management actions is a current lively field of research. The possibility of supporting Supply Chain Risks Management (SCRM) is herein explored from a Multi-Criteria Decision-Making (MCDM)-based perspective. The sorting method ELimination Et Choix Traduisant la REalite (ELECTRE) TRI is proposed as a structural procedure to classify Supply Chain Risks (SCRs) into proper risk…

Supply chain risk managementApplication ArticleComputer sciencebusiness.industryAutomotive industryManagement Science and Operations ResearchMultiple-criteria decision analysisComputer Science ApplicationsManagement Information SystemsIntervention (law)Identification (information)Risk analysis (engineering)Multi-criteria decision-makingELECTRE TRIELECTREMATEMATICA APLICADASet (psychology)businessSupply chain managementRisk managementInformation SystemsSupply chain riskOPSEARCH
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