Search results for "Genetic algorithm"

showing 10 items of 834 documents

Biochemical selection of prepubertal patients with androgen insensitivity syndrome by sex hormone-binding globulin response to the human chorionic go…

1997

Before puberty, the diagnosis of androgen insensitivity syndrome (AIS) can be difficult. We studied whether the decrease of sex hormone-binding globulin (SHBG) during the human chorionic gonadotropin (hCG) test may represent a biochemical test to select prepubertal patients with AIS. We examined prepubertal patients with AIS (n = 9, age 0.9-8.2 y), male pseudohermaphroditism not due to AIS (other-MPH) (n = 8, age 0.6-10.7 y), and control boys (n = 12, age 0.8-12.5 y). Testosterone and SHBG levels (mean +/- SD) were measured before (d 0) and after (d 5) a hCG test (1500 IU X 3 d). Testosterone levels (nmol/L) increased in all groups [AIS: from 1.5 +/- 1.2 to 22.1 +/- 11.8 (p0.001); other-MPH…

Maleendocrine systemmedicine.medical_specialtyGlobulinmedicine.drug_classDisorders of Sex DevelopmentEndocrine System DiseasesChorionic GonadotropinHuman chorionic gonadotropinSex hormone-binding globulinInternal medicineSex Hormone-Binding GlobulinmedicineHumansTestosteroneChildSelection (genetic algorithm)biologyurogenital systemPatient SelectionInfantSyndromeAndrogenmedicine.diseaseEndocrinologyReceptors AndrogenCase-Control StudiesChild PreschoolKaryotypingembryonic structuresPediatrics Perinatology and Child Healthbiology.proteinAndrogensAndrogen insensitivity syndromeGonadotropinSex Hormone Binding ProteinPediatric research
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Founder-effect speciation theory: Failure of experimental corroboration

1995

The theory of founder-effect speciation proposes that colonization by very few individuals of an empty habitat favors rapid genetic changes and the evolution of a new species. We report here the results obtained in a 10-year-long and large-scale experiment with Drosophila pseudoobscura designed to test the theory. In our experimental protocol, populations are established with variable numbers of very few individuals and allowed to expand greatly for several generations until conditions of severe competition for resources are reached and the population crashes. A few random survivors are then taken to start a new population expansion and thus initiate a new cycle of founding events, populati…

Malemedia_common.quotation_subjectPopulationModels BiologicalCompetition (biology)Drosophila pseudoobscuraGenetic algorithmAnimalseducationCrosses Geneticmedia_commonRecombination Geneticeducation.field_of_studyMultidisciplinarybiologyEcologyReproductionBiological evolutionbiology.organism_classificationNew populationBiological EvolutionGenetics PopulationHabitatDrosophilaFemaleFounder effectResearch Article
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A premature infant with Costello syndrome due to a rare G13C HRAS mutation.

2009

Costello syndrome is caused by mutations in the HRAS proto-oncogene whose clinical features in the first year of life include fetal and neonatal macrosomia with subsequent growth impairment due to severe feeding difficulties. We report on a premature male with Costello syndrome due to a rare G13C HRAS mutation and describe his clinical features and evolution during the first year of life. The diagnosis of Costello syndrome may be difficult at birth, especially in very preterm infants in whom feeding difficulties, reduced subcutaneous adipose tissue and failure to thrive are also part of their typical presentation.

Malemedicine.medical_specialtyPediatricsDevelopmental DisabilitiesProto-Oncogene MasprematureSettore MED/38 - Pediatria Generale E SpecialisticaCostello syndromePregnancyInternal medicineIntellectual DisabilityGeneticsmedicineHumansHRASGenetics (clinical)FetusPregnancybusiness.industryInfant NewbornNucleic acid amplification techniqueDNASyndromemedicine.diseaseEndocrinologyGenes rasSettore MED/03 - Genetica MedicaFailure to thriveMutation (genetic algorithm)MutationFemalePresentation (obstetrics)medicine.symptombusinessNucleic Acid Amplification TechniquesInfant PrematureAmerican journal of medical genetics. Part A
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Weighted Least-Squares Likelihood Ratio Test for Branch Testing in Phylogenies Reconstructed from Distance Measures

2005

A variety of analytical methods is available for branch testing in distance-based phylogenies. However, these methods are rarely used, possibly because the estimation of some of their statistics, especially the covariances, is not always feasible. We show that these difficulties can be overcome if some simplifying assumptions are made, namely distance independence. The weighted least-squares likelihood ratio test (WLS-LRT) we propose is easy to perform, using only the distances and some of their associated variances. If no variances are known, the use of the Felsenstein F-test, also based on weighted least squares, is discussed. Using simulated data and a data set of 43 mammalian mitochondr…

MammalsLikelihood FunctionsModels GeneticReproducibility of ResultsGeneralized least squaresClassificationDNA MitochondrialDistance measuresEvolution MolecularData setData Interpretation StatisticalLikelihood-ratio testStatisticsHIV-1GeneticsAnimalsCluster AnalysisPoint (geometry)PhylogenyEcology Evolution Behavior and SystematicsIndependence (probability theory)Reliability (statistics)Selection (genetic algorithm)MathematicsSystematic Biology
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Minimising value-at-risk in a portfolio optimisation problem using a multi-objective genetic algorithm

2011

[EN] In this paper, we develop a general framework for market risk optimisation that focuses on VaR. The reason for this choice is the complexity and problems associated with risk return optimisation (non-convex and non-differential objective function). Our purpose is to obtain VaR efficient frontiers using a multi-objective genetic algorithm (GA) and to show the potential utility of the algorithm to obtain efficient portfolios when the risk measure does not allow calculating an optimal solution. Furthermore, we measure differences between VaR efficient frontiers and variance efficient frontiers in VaR-return space and we evaluate out-sample capacity of portfolios on both bullish and bearis…

Market riskMathematical optimizationArtificial intelligenceActuarial scienceInvestment criteriaRisk measureGAEfficient frontierVariance (accounting)Management Science and Operations ResearchPortfolio selectionMeasure (mathematics)Market riskGenetic algorithmValue-at-riskGenetic algorithmEconomicsPortfolioVARStatistics Probability and UncertaintyBusiness and International ManagementLENGUAJES Y SISTEMAS INFORMATICOSValue at risk
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Fuzzy Distributed Genetic Approaches for Image Segmentation

2010

This paper presents a new image segmentation algorithm (called FDGA-Seg) based on a combination of fuzzy logic, multiagent systems and genetic algorithms. We propose to use a fuzzy representation of the image site labels by introducing some imprecision in the gray tones values. The distributivity of FDGA-Seg comes from the fact that it is designed around a MultiAgent System (MAS) working with two different architectures based on the master-slave and island models. A rich set of experimental segmentation results given by FDGA-Seg is discussed and compared to the ICM results in the last section.

Markov random fieldGeneral Computer ScienceComputer sciencebusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationMarkov processImage processingImage segmentationFuzzy logicsymbols.namesakeGenetic algorithmsymbolsSegmentationArtificial intelligencebusinessJournal of Computing and Information Technology
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Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System

2001

In this paper, a new method for reconstructing 3-D shapes is proposed. It is based on an active stereo vision system composed of a camera and a light system which projects a set of structured laser rays on the scence to be analyzed. The depth information is provided by matching the laser rays and the corresponding spots appearing in the image. The matching task is performed by using Genetic Algorithms (GAs). The process converges towards the optimum solution which proves that GAs can effectively be used for this problem. An efficient 3-D reconstruction method is introduced. The experimental results demonstrate that the proposed approach is stable and provides high accuracy 3-D object recons…

Matching (graph theory)Computer sciencebusiness.industryMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Image processingIterative reconstructionSet (abstract data type)StereopsisGenetic algorithmComputer visionArtificial intelligencebusiness
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The Gaia-ESO Survey: matching chemodynamical simulations to observations of the Milky Way

2017

The typical methodology for comparing simulated galaxies with observational surveys is usually to apply a spatial selection to the simulation to mimic the region of interest covered by a comparable observational survey sample. In this work, we compare this approach with a more sophisticated post-processing in which the observational uncertainties and selection effects (photometric, surface gravity and effective temperature) are taken into account. We compare a 'solar neighbourhood analogue' region in a model MilkyWay-like galaxy simulated with RAMSES-CH with fourth release Gaia-ESO survey data. We find that a simple spatial cut alone is insufficient and that the observational uncertainties …

Matching (statistics)Milky Wayastro-ph.GAFOS: Physical sciencesScale (descriptive set theory)AstrophysicsF500Astrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesmethods: numerical0103 physical sciencesgalaxies: formation010303 astronomy & astrophysicsSelection (genetic algorithm)Astrophysics::Galaxy AstrophysicsPhysics[PHYS]Physics [physics]numerical [Methods]010308 nuclear & particles physicsgalaxies: evolution - galaxies: formationabundances [Galaxy]Astronomy and AstrophysicsEffective temperatureSurface gravityevolution [Galaxies]Astrophysics - Astrophysics of Galaxiesformation [Galaxies]GalaxyGalaxy: abundanceGalaxies: evolution; Galaxies: formation; Galaxy: abundances; Methods: numerical; Astronomy and Astrophysics; Space and Planetary ScienceSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Survey data collectionGalaxy: abundancesmethods: numerical - Galaxy: abundancesgalaxies: evolution[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Thermal and moisture adsorption/desorption properties for a selection of vegetal insulation materials

2019

Natural, or ‘green’ insulation materials, have become more popular for the ‘ecologisation’ of construction activities. The ecological aspects for such materials are being widely analysed, but experimental data about their physical properties when installed in building constructions remains lacking. In this study, pressed samples of three locally wild grown agricultural materials – rye, reed, and hemp – are analysed. Thermal conductivity measurements were carried out using the hot plate device. Comparison with widely used mineral insulation materials shows that thermal conductivity for simple pressed materials are roughly three times higher, and are comparable to plywood and cross-laminated …

Materials scienceChemical engineeringAdsorption desorptionMoisturelcsh:TA1-2040Thermallcsh:Engineering (General). Civil engineering (General)Selection (genetic algorithm)MATEC Web of Conferences
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Concepts of Miniaturized and Fast GC and HPLC Analytical Systems Integrated in Microreactors

1998

Requirements of an analytical system for the analysis of the products of ethenoxide and propenoxide synthesis are discussed in relation to the specific features of the microreactor technology. A selection of suitable stationary phases and column techniques are considered and preliminary results on the analysis of synthetic mixtures of compounds of ethenoxide synthesis are presented.

Materials scienceChromatographyMicroreactorColumn (database)High-performance liquid chromatographySelection (genetic algorithm)
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