Search results for "Random"

showing 10 items of 3931 documents

“Randomised trial comparing biweekly oxaliplatin plus oral capecitabine versus oxaliplatin plus i.v. bolus fluorouracil/leucovorin in metastatic colo…

2009

PURPOSE: Oxaliplatin combined with either fluorouracil/leucovorin (OXAFAFU) or capecitabine (OXXEL) has a demonstrated activity in metastatic colorectal cancer patients. We aimed at comparing these two regimens in terms of response rate (RR), safety, progression-free survival (PFS), and quality of life (QoL) of patients. METHODS: A total of 322 patients with metastatic colorectal cancer were randomized to receive biweekly: oxaliplatin 100 mg/m(2) i.v. on day 1, capecitabine 1,000 mg/m(2) orally twice daily from day 1 to day 11 (OXXEL); or oxaliplatin 85 mg/m(2) i.v. on day 1; 6S-leucovorin 250 mg/m(2) i.v. and fluorouracil 850 mg/m(2) i.v. on day 2 (OXAFAFU). RESULTS: Eleven complete and 42…

Settore MED/06 - Oncologia MedicacapecitabineoxaliplatinOXXEL regimenOXAFAFU regimencolorectal carcinomarandomized trial
researchProduct

Developing drug strategies for the neuroprotective treatment of acute ischemic stroke

2015

Developing new treatment strategies for acute ischemic stroke in the last twenty years has offered some important successes, but also several failures. Most trials of neuroprotective therapies have been uniformly negative to date. Recent research has reported how excitatory amino acids act as the major excitatory neurotransmitters in the cerebral cortex and hippocampus. Furthermore, other therapeutic targets such as free radical scavenger strategies and the anti-inflammatory neuroprotective strategy have been evaluated with conflicting data in animal models and human subjects with acute ischemic stroke. Whereas promising combinations of neuroprotection and neurorecovery, such as citicoline,…

Settore MED/09 - Medicina InternaBioinformaticsNeuroprotectionlaw.inventionBrain ischemiachemistry.chemical_compoundRandomized controlled triallawAnimalsHumansMedicinePharmacology (medical)Strokebusiness.industryGeneral NeurosciencedrugIschemic cascadeFree radical scavengermedicine.diseaseStrokeNeuroprotective AgentschemistryCerebrolysinneuroprotectionNeurology (clinical)businessNeuroscienceCiticolinemedicine.drugExpert Review of Neurotherapeutics
researchProduct

randomized clinical trials in perianal disease.

2012

Abstract: Crohn’s disease can be complicated by the development of fistulas, 54% of which involve the perianal region. The presence of perianal fistulas predicts a disabling course of Crohn’s disease. The treatment of complex perianal disease is difficult and the chance of complete fistula healing is no more than 50%. The best management of this condition is a combining medical and surgical therapy. Studies which evaluated the efficacy of medical treatments in this setting are small, open label and considered the efficacy on perianal disease as a second outcome or as the result of a subgroup analysis. In the few available trials the efficacy outcomes were evaluated by the Fistula Drainage A…

Settore MED/09 - Medicina Internarandomized clinical trials.inflammatory bowel disease
researchProduct

Lifestyle versus ezetimibe plus lifestyle in patients with biopsy-proven non-alcoholic steatohepatitis (LISTEN): A double-blind randomised placebo-co…

2022

Background and aims: The LISTEN trial (ClinicalTrial.gov accession: NCT01950884) is a phase IV 52 weeks double blind parallel randomized controlled trial that evaluated the effect of ezetimibe plus lifestyle and dietary intervention (eze) vs. lifestyle and dietary intervention alone (placebo) on progression and complications of non-alcoholic steatohepatitis (NASH) evaluated by liver histology. Methods and results: Forty patients with NASH ascertained by histology were randomly allocated on the two study groups and subjected to a follow-up of 52 weeks, when they underwent a second liver biopsy. Main composite end point (EP) was based on the histological improvement in the severity of NASH. T…

Settore MED/12 - GastroenterologiaNutrition and DieteticsSettore MED/09 - Medicina InternaEndocrinology Diabetes and MetabolismBiopsyMedicine (miscellaneous)Liver biopsyEzetimibeTreatment OutcomeDouble-Blind MethodRandomized controlled trialNon-alcoholic Fatty Liver DiseaseHumansCardiology and Cardiovascular MedicineNon-alcoholic steatohepatitiLife StyleNutrition, metabolism, and cardiovascular diseases : NMCD
researchProduct

Quantifying treatment effects when flexibly modeling individual change in a nonlinear mixed effects model

2021

A core task in analyzing randomized clinical trials based on longitudinal data is to find the best way to describe the change over time for each treatment arm. We review the implementation and estimation of a flexible piecewise Hierarchical Linear Model (HLM) to model change over time. The flexible piecewise HLM consists of two phases with differing rates of change. The breakpoints between these two phases, as well as the rates of change per phase are allowed to vary between treatment groups as well as individuals. While this approach may provide better model fit, how to quantify treatment diff erences over the longitudinal period is not clear. In this paper, we develop a procedure for summ…

Settore SECS-S/01 - StatisticaArea under the curve (AUC) breakpoint Hierarchical Linear model random eff ects subject-speci fic estimates.
researchProduct

Automatic differentiation of melanoma from dysplastic nevi.

2015

International audience; Malignant melanoma causes the majority of deaths related to skin cancer. Nevertheless, it is the most treatable one, depending on its early diagnosis. The early prognosis is a challenging task for both clinicians and dermatologist, due to the characteristic similarities of melanoma with other skin lesions such as dysplastic nevi. In the past decades, several computerized lesion analysis algorithms have been proposed by the research community for detection of melanoma. These algorithms mostly focus on differentiating melanoma from benign lesions and few have considered the case of melanoma against dysplastic nevi. In this paper, we consider the most challenging task a…

Shape featuresSkin Neoplasms[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingDysplastic02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imagingColourPattern Recognition Automated0302 clinical medicine0202 electrical engineering electronic engineering information engineeringMelanoma[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingMelanomaClassificationComputer Graphics and Computer-Aided DesignDermoscopy imaging3. Good healthRandom forest020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmsmedicine.medical_specialtyAutomatic differentiationFeature extractionHealth InformaticsDermoscopySensitivity and SpecificityDiagnosis Differential03 medical and health sciencesLesion analysisMachine learningImage Interpretation Computer-Assistedmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansRadiology Nuclear Medicine and imagingTextureneoplasmsbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicine.diseaseDermatologySupport vector machineBag-of-words modelSkin cancerbusinessDysplastic Nevus SyndromeComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
researchProduct

Incoherent dispersive shocks in the spectral evolution of random waves

2013

We predict theoretically and numerically the existence of incoherent dispersive shock waves. They manifest themselves as an unstable singular behavior of the spectrum of incoherent waves that evolve in a noninstantaneous nonlinear environment. This phenomenon of "spectral wave breaking" develops in the weakly nonlinear regime of the random wave. We elaborate a general theoretical formulation of these incoherent objects on the basis of a weakly nonlinear statistical approach: a family of singular integro-differential kinetic equations is derived, which provides a detailed deterministic description of the incoherent dispersive shock wave phenomenon.

Shock wavePhysics[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Basis (linear algebra)[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]Spectrum (functional analysis)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSIncoherent scatterGeneral Physics and AstronomyBreaking wave[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]01 natural sciencesRandom waves010305 fluids & plasmas[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Nonlinear systemSpectral evolutionClassical mechanics[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]0103 physical sciences010306 general physics[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)ComputingMilieux_MISCELLANEOUSMathematicsofComputing_DISCRETEMATHEMATICS
researchProduct

Random wave run-up with a physically-based Lagrangian shoreline model

2014

Abstract In the present paper the run-up of random waves was calculated by means of a numerical method. In situ measurements based on a video imaging technique have been used for the validation of the present numerical model. The on-site run-up measurements have been carried out at Lido Signorino beach, near Marsala, Italy,along a transect, normal to the shore. A video camera and a linear array of rods have been used to obtain field data. Numerical simulations with a 1DH Boussinesq-type of model for breaking waves which takes into account the wave run-up by means of a Lagrangian shoreline model have been carried out. In such simulations random waves of given spectrum have been propagated in…

ShoreBoussinesq numerical modelgeographygeography.geographical_feature_categoryMeteorologyNumerical analysisBreaking waveVideo cameraGeneral Medicineirregular wave run-upGeodesyirregular wave run-up; Boussinesq numerical model; shorelineRandom waveslaw.inventionSettore ICAR/01 - IdraulicaFlumesymbols.namesakeshorelinelawsymbolsTransectGeologyLagrangianEngineering(all)
researchProduct

Causal inference in geosciences with kernel sensitivity maps

2020

Establishing causal relations between random variables from observational data is perhaps the most important challenge in today's Science. In remote sensing and geosciences this is of special relevance to better understand the Earth's system and the complex and elusive interactions between processes. In this paper we explore a framework to derive cause-effect relations from pairs of variables via regression and dependence estimation. We propose to focus on the sensitivity (curvature) of the dependence estimator to account for the asymmetry of the forward and inverse densities of approximation residuals. Results in a large collection of 28 geoscience causal inference problems demonstrate the…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciences0211 other engineering and technologiesInverseEstimator02 engineering and technologycomputer.software_genre01 natural sciencesMachine Learning (cs.LG)Methodology (stat.ME)Kernel (statistics)Causal inferenceFOS: Electrical engineering electronic engineering information engineeringRelevance (information retrieval)Data miningSensitivity (control systems)Electrical Engineering and Systems Science - Signal ProcessingFocus (optics)computerRandom variableStatistics - Methodology021101 geological & geomatics engineering0105 earth and related environmental sciences
researchProduct

Nonlinear Distribution Regression for Remote Sensing Applications

2020

In many remote sensing applications, one wants to estimate variables or parameters of interest from observations. When the target variable is available at a resolution that matches the remote sensing observations, standard algorithms, such as neural networks, random forests, or the Gaussian processes, are readily available to relate the two. However, we often encounter situations where the target variable is only available at the group level, i.e., collectively associated with a number of remotely sensed observations. This problem setting is known in statistics and machine learning as multiple instance learning (MIL) or distribution regression (DR). This article introduces a nonlinear (kern…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningArtificial neural networkRemote sensing applicationComputer science0211 other engineering and technologies02 engineering and technologyLeast squaresRandom forestMachine Learning (cs.LG)Kernel (linear algebra)symbols.namesakeKernel (statistics)symbolsFOS: Electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringGaussian processAlgorithm021101 geological & geomatics engineeringCurse of dimensionalityIEEE Transactions on Geoscience and Remote Sensing
researchProduct