Search results for " algorithm"

showing 10 items of 2538 documents

502P Impact of different selection approaches for identifying Lynch syndrome-related colorectal cancer patients

2021

Oncologymedicine.medical_specialtyOncologybusiness.industryColorectal cancerInternal medicineMedicineHematologybusinessmedicine.diseaseSelection (genetic algorithm)Lynch syndromeAnnals of Oncology
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Transition to secondary progression in relapsing-onset multiple sclerosis: Definitions and risk factors

2021

Background: No uniform criteria for a sensitive identification of the transition from relapsing–remitting multiple sclerosis (MS) to secondary-progressive multiple sclerosis (SPMS) are available. Objective: To compare risk factors of SPMS using two definitions: one based on the neurologist judgment (ND) and an objective data-driven algorithm (DDA). Methods: Relapsing-onset MS patients ( n = 19,318) were extracted from the Italian MS Registry. Risk factors for SPMS and for reaching irreversible Expanded Disability Status Scale (EDSS) 6.0, after SP transition, were estimated using multivariable Cox regression models. Results: SPMS identified by the DDA ( n = 2343, 12.1%) were older, more disa…

Oncologymedicine.medical_specialtyRelapsing-RemittingMultiple sclerosis03 medical and health sciencesMultiple Sclerosis Relapsing-Remitting0302 clinical medicineDisease registryRecurrenceRisk Factorsbig dataInternal medicinemedicineHumansdata-driven algorithmMultiple sclerosi030212 general & internal medicinebig data; data-driven algorithm; disease registry; Multiple sclerosis; prognosis; secondary progressive; Disease Progression; Humans; Recurrence; Risk Factors; Multiple Sclerosis; Multiple Sclerosis Chronic Progressive; Multiple Sclerosis Relapsing-RemittingSecondary progressiveTransition (genetics)business.industryMultiple sclerosisMultiple Sclerosis Chronic Progressivemedicine.diseaseChronic ProgressiveNeurologybig data; data-driven algorithm; disease registry; Multiple sclerosis; prognosis; secondary progressiveDisease Progressiondisease registrysecondary progressiveSettore MED/26 - NeurologiaNeurology (clinical)prognosisbusinessprognosi030217 neurology & neurosurgery
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Upregulated Mirna 21 in Kras Mutated Patients is Related to Prognosis in Resectable Non-Small Cell Lung Cancer

2015

Oncologymedicine.medical_specialtybusiness.industryHematologymedicine.diseasemedicine.disease_causeOncologyInternal medicineMutation (genetic algorithm)microRNAmedicineNon small cellKRASbusinessLung cancerAnnals of Oncology
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Ontological information system for the selection of technologies for the treatment and disposal of organic waste: engineering and educational aspects

2021

The article proves a problem of information processing in the field of the structuring of information and decision-making in environmental engineering, including education in this field. This article presents the ontology-information model that was used to systematize waste treatment equipment. The article presents the use of an ontological algorithm “Polyhedron” for engineers and teachers. The algorithm consists of integrating ontological solutions from abstract to specific. The proposed model consists of a general ontology of “waste treatment technologies selection”, “waste treatment equipment selection” and “Ontology for the analysis of scientific publications”. Users of the system can i…

Ontology-based approachEnvironmental managementCognitive IT platform polyhedronWaste treatment equipmentRisk analysis (engineering)WasteOntologyComputer scienceInformation systemSystematizationBiodegradable wasteSelection (genetic algorithm)DESALINATION AND WATER TREATMENT
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Quantum and classical integrability: new approaches in statistical mechanics

1991

Abstract The present status of the statistical mechanics (SM), quantum and classical, of integrable models is reviewed by reporting new results for their partition functions Z obtained for anyon type models in one space and one time (1 + 1) dimensions. The methods of functional integration developed already are extended further. Bose-Fermi equivalence and anyon descriptions are natural parts of the quantum theory and the anyon phase is quantised. The classical integrability is exploited throughout and both classical and quantum integrability theory are reviewed this way, and related to underlying algebraic structures - notably the Hopf algebras (“quantum groups”). A new “ q -boson” lattice …

Open quantum systemQuantum processQuantum dynamicsAnyonStatistical and Nonlinear PhysicsQuantum algorithmCondensed Matter PhysicsQuantum statistical mechanicsQuantum dissipationQuantum chaosMathematical physicsMathematicsPhysica D: Nonlinear Phenomena
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Project Selection by Constrained Fuzzy AHP

2004

The selection of a project among a set of possible alternatives is a difficult task decision makers have to face. Difficulties in selecting a project arise because of the different goals involved and because of the large number of attributes to consider. Our approach is based upon a fuzzy extension of the Analytic Hierarchy Process (AHP). This paper focuses on the constraints that have to be considered within fuzzy AHP in order to take in account all the available information. This study demonstrates that by considering all the information deriving from the constraints better results in terms of certainty and reliability can be achieved.

Operations researchLogicbusiness.industryFuzzy setAnalytic hierarchy processMachine learningcomputer.software_genreFuzzy logicDefuzzificationTask (project management)Artificial IntelligenceFuzzy set operationsArtificial intelligencebusinesscomputerAHP fuzzy sets decision analysisSoftwareSelection (genetic algorithm)Decision analysisMathematicsFuzzy Optimization and Decision Making
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A genetic algorithm for analyzing choice behavior with mixed decision strategies

2009

In the field of decision-making a fundamental problem is how to uncover people's choice behavior. While choices them- selves are often observable, our underlying decision strategies determining these choices are not entirely understood. Previous research defined a number of decision strategies and conjectured that people do not apply only one strategy but switch strategies during the decision process. To the best of our knowledge, empirical evidence for the latter conjecture is missing. This is why we monitored the purchase decisions 624 consumers shopping online. We study how many of the observed choices can be explained by the existing strategies in their pure form, how many decisions can…

Operations researchbusiness.industryManagement scienceComputer scienceBusiness decision mappingGenetic algorithmDecision field theoryE-commerceSpace (commercial competition)businessEmpirical evidenceSet (psychology)Consumer behaviourProceedings of the 11th Annual conference on Genetic and evolutionary computation
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A fast algorithm for muon track reconstruction and its application to the ANTARES neutrino telescope.

2011

An algorithm is presented, that provides a fast and robust reconstruction of neutrino induced upward-going muons and a discrimination of these events from downward-going atmospheric muon background in data collected by the ANTARES neutrino telescope. The algorithm consists of a hit merging and hit selection procedure followed by fitting steps for a track hypothesis and a point-like light source. It is particularly well-suited for real time applications such as online monitoring and fast triggering of optical follow-up observations for multi-messenger studies. The performance of the algorithm is evaluated with Monte Carlo simulations and various distributions are compared with that obtained …

Optical telescopesAMANDASelection proceduresRobust reconstructionMonte Carlo methodAtmospheric muonsReal-time applicationNeutrino telescope01 natural sciencesHigh Energy Physics - ExperimentFast algorithmsHigh Energy Physics - Experiment (hep-ex)High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsDetectorMonte Carlo SimulationMonte Carlo methodsComputer simulationLIGHTddc:540Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaAlgorithmAlgorithmsFLUXOnline monitoring[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescopeFOS: Physical sciencesTrack reconstructionOptical telescopeNuclear physicsMuon tracks0103 physical sciencesAngular resolutionLight sources010306 general physicsOptical follow-upDETECTORInstrumentation and Methods for Astrophysics (astro-ph.IM)MuonANTARESneutrino telescope; track reconstruction010308 nuclear & particles physicsCharged particlesTrack (disk drive)track reconstructionAstronomy and Astrophysics[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Physics - Data Analysis Statistics and ProbabilityFISICA APLICADAATMOSPHERIC NEUTRINOSNeutrino telescopesSYSTEMData Analysis Statistics and Probability (physics.data-an)
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Optimal Design of Piezoelectric Cantilevered Actuators for Charge-Based Self-Sensing Applications

2019

Charge-based Self-Sensing Actuation (SSA) is a cost and space-saving method for accurate piezoelectric based-actuator positioning. However, the performance of its implementation resides in the choice of its geometry and the properties of the constituent materials. This paper intends to analyze the charge-based SSA&rsquo

Optimal design0209 industrial biotechnologyCantileverComputer sciencemicro-/nano-robotsMultiphysics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]designMechanical engineering02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticle[SPI.AUTO]Engineering Sciences [physics]/AutomaticAnalytical Chemistry020901 industrial engineering & automation0103 physical scienceslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentation010302 applied physicsself-sensing actuationFunction (mathematics)PiezoelectricityAtomic and Molecular Physics and OpticsComputer Science::OtherParametric modelActuatoroptimizationpiezoelectric actuators and sensorsSensors
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Optimal design algorithm for seismic retrofitting of RC columns with steel jacketing technique

2020

Abstract Steel jacketing (SJ) of beams and columns is widely employed as retrofitting technique to provide additional deformation and strength capacity to existing reinforced concrete (RC) frame structures. The latter are many times designed without considering seismic loads, or present inadequate seismic detailing. The use of SJ is generally associated with non-negligible costs depending on the amount of structural work and non-structural manufacturing and materials. Moreover, this kind of intervention results in noticeable downtime for the building. This paper presents a new optimization framework which is aimed at obtaining minimization of retrofitting costs by optimizing the position an…

Optimal design0209 industrial biotechnologyDowntimeComputer scienceOpenSEESSeismic loadingsteel jacketing02 engineering and technologyIndustrial and Manufacturing EngineeringEngineering optimizationSettore ICAR/09 - Tecnica Delle Costruzioni020303 mechanical engineering & transports020901 industrial engineering & automationOpenSees0203 mechanical engineeringArtificial IntelligenceconfinementGenetic algorithmRetrofittingSeismic retrofitconfinement; OpenSEES; optimization; steel jacketing; stress-strain curvestress-strain curveAlgorithmoptimization
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