Search results for "election"

showing 10 items of 2159 documents

Educomunicación y noticias científicas en los libros de Ciencias para el Mundo Contemporáneo.

2017

La asignatura Ciencias para el Mundo Contemporáneo contiene finalidades y objetivos ligados al desarrollo de las alfabetizaciones científica y mediática de todos los estudiantes de Bachillerato. En esta materia obligatoria el desarrollo de la competencia científica se plantea desde los conocimientos y habilidades científicos necesarios para comprender, participar y tomar decisiones sobre las controversias sociocientíficas en los medios de comunicación (Educomunicación). En este artículo mostramos un análisis de la presencia, del contenido y del tratamiento de las noticias científicas incluidas en los libros de texto de esta asignatura. Los resultados ponen de manifiesto que sólo cinco edito…

Sociology of scientific knowledgeDidácticas aplicadasMedia studiesNewspaperPoliticsGeographyContent analysisComputingMilieux_COMPUTERSANDEDUCATIONPsicología y educación:PEDAGOGÍA [UNESCO]Selection criterionMissed opportunityUNESCO::PEDAGOGÍACompetence (human resources)Humanities
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‘I’m still the master of the machine.’ Internet users’ awareness of algorithmic decision-making and their perception of its effect on their autonomy

2020

Algorithms are an integral part of our everyday lives and shape the selection and presentation of information and communication on the internet. At the same time, media users are faced with a lack of control and transparency when interacting with these systems because algorithms largely remain black boxes to end users. Relying on the notion that algorithms are socio-technical systems that comprise both technical and human components, this paper examines internet users’ awareness of algorithms in different areas of internet use and inquires into users’ perceptions of the impact of algorithms on their autonomy when interacting online. Empirically, we rely on qualitative interviews with 30 Ger…

Sociotechnical systembusiness.industryComputer scienceCommunicationmedia_common.quotation_subject05 social sciencesInternet privacy050801 communication & media studiesLibrary and Information SciencesTransparency (behavior)0506 political sciencePresentation0508 media and communicationsPerception050602 political science & public administrationSelection (linguistics)The InternetInternet usersbusinessAutonomymedia_common
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Soft computing-based aggregation methods for human resource management

2008

Abstract We are interested in the personnel selection problem. We have developed a flexible decision support system to help managers in their decision-making functions. This DSS simulates experts’ evaluations using ordered weighted average (OWA) aggregation operators, which assign different weights to different selection criteria. Moreover, we show an aggregation model based on efficiency analysis to put the candidates into an order.

Soft computingDecision support systemInformation Systems and ManagementGeneral Computer ScienceFuzzy setStaff managementPersonnel selectionManagement Science and Operations Researchcomputer.software_genreIndustrial and Manufacturing EngineeringWeightingComplete informationModeling and SimulationData miningcomputerSelection (genetic algorithm)MathematicsEuropean Journal of Operational Research
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Soft Computing Techniques for Portfolio Selection: Combining SRI with Mean-Variance Goals

2014

A fuzzy portfolio selection model is presented incorporating a socially responsible goal without discarding a priori financially good portfolios or weakening a priori the financial goals. Hence, the optimal portfolios it provides could be either efficient from the strictly financial point of view or non-efficient if leaving the efficient frontier substantially improves the degree of social responsibility. The model can be used to direct heuristic procedures in order to select a reduced number of various alternatives from which the investor can directly make a final decision.

Soft computingMathematical optimizationOrder (exchange)Computer scienceHeuristicPortfolioEfficient frontierSocial responsibilityMembership functionSelection (genetic algorithm)
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Soft Computing Methods for Personnel Selection Based on the Valuation of Competences

2014

Personnel selection based on candidates' competences is a difficult task due to the imprecise description of the applicants' competences and to the existence of several experts simultaneously evaluating those attributes. In this context, fuzzy sets theory provides suitable tools for the attainment of the maximum possible information from imprecise data. In this work, personnel selection methods are proposed that rely on the definition of an ideal candidate. Aggregated fuzzy valuations of each candidate are obtained taking into account the individual valuations provided by the experts. Then, candidates are ranked based on their similarity with the ideal candidate. Three different scenarios a…

Soft computingbusiness.industryFuzzy setPersonnel selectionSimilarity measureMachine learningcomputer.software_genreFuzzy logicTheoretical Computer ScienceHuman-Computer InteractionArtificial IntelligenceEntropy (information theory)Artificial intelligenceData miningbusinesscomputerWeighted arithmetic meanSoftwareMathematicsValuation (finance)International Journal of Intelligent Systems
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JEM–X science analysis software

2003

The science analysis of the data from JEM-X on INTEGRAL is performed through a number of levels including corrections, good time selection, imaging and source finding, spectrum and light-curve extraction. These levels consist of individual executables and the running of the complete analysis is controlled by a script where parameters for detailed settings are introduced. The end products are FITS files with a format compatible with standard analysis packages such as XSPEC. Martinez Nuñez, Silvia, Silvia.Martinez@uv.es

Software ; X-ray data analysis ; INTEGRAL ; Satellite ; JEM-X010504 meteorology & atmospheric sciencesAstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICA01 natural sciencesSoftware0103 physical sciencesAnalysis software010303 astronomy & astrophysicsSelection (genetic algorithm)0105 earth and related environmental sciencesPhysicsX-ray data analysisINTEGRALbusiness.industryAstronomy and Astrophysicscomputer.file_format:ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia [UNESCO]Computer engineeringSatelliteSpace and Planetary ScienceJEM-XSatelliteExecutableUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogoniabusinesscomputerSoftware:ASTRONOMÍA Y ASTROFÍSICA [UNESCO]Astronomy & Astrophysics
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Case studies and coupling of processes

2007

This chapter with eight authored sections presents a selection of possible application of microdynamic simulation to address geological questions. The various processes that have been introduced in the previous chapter were used, sometimes with minor additions or modifications. Because processes in rocks never operate in isolation, the reader will see that the various authors in this chapter have combined two or more processes to simulate the microstructural development under investigation. As such the authors have fully taken advantage of the possibility of the Elle software to couple processes.

SoftwareCoupling (computer programming)business.industryShear strain rateComputer scienceSystems engineeringSelection (linguistics)business
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Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

2012

International audience; Large soil spectral libraries compiling thousands of NIR (Near Infrared) reflectance spectra have been created encompassing a wide diversity and heterogeneity of spectra. Among the many chemometric approaches to the calibration of chemical and physical properties from these large libraries, local calibrations have the advantage of being able to select the most similar spectra to the spectrum of a target sample. This is particularly relevant when dealing with highly heterogeneous media such as soils, where the mineral matrix has a strong influence on spectral features. A crucial step in the implementation of local calibration procedures is the construction of local ne…

Soil testCorrelation coefficientnear infrared spectroscopy[SDV]Life Sciences [q-bio]Fast Fourier transformfast fourier transformsample selection010501 environmental sciences01 natural sciencesAnalytical ChemistryStatisticsPartial least squares regressionsoil spectral databaseSpectroscopySelection (genetic algorithm)0105 earth and related environmental sciencesMathematicscompression methodsMahalanobis distancelocal calibrationbusiness.industryProcess Chemistry and TechnologyLocal regressionPattern recognition04 agricultural and veterinary sciences15. Life on landComputer Science Applications[SDE]Environmental SciencesPrincipal component analysis040103 agronomy & agriculture0401 agriculture forestry and fisheriesArtificial intelligencebusinessSoftwareChemometrics and Intelligent Laboratory Systems
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Genetic selection for reduced Somatic Cell Counts in sheep milk: A review

2015

Mastitis is an inflammation of the udder, mainly caused by bacteria, and leads to economic loss, due to discarded milk, reduced milk production, reduced milk quality and increased health costs in both dairy sheep and cattle. Selecting for increased genetic resistance to mastitis can be done directly or indirectly, with the indirect selection corresponding to a prediction of the bacteriological status of the udder based on traits related to the infection. The most frequently used indirect method is currently milk somatic cell count (SCC) or somatic cell score (SCS). This review reports the state of the art relating to the genetic basis of mastitis resistance in sheep and explores the opportu…

Somatic cell countVeterinary medicineSomatic cellGenetic selectionMastitisBiologyAnimal Breeding and GenomicsSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoFood AnimalsmedicineMastitis Genetic selection Somatic cell count SheepFokkerij en GenomicaUdderSheep milkSelection (genetic algorithm)Sheepbusiness.industryfood and beveragesmedicine.diseaseMastitisBiotechnologymedicine.anatomical_structureGenetic selectionAnimal Science and ZoologyFlockbusinessSomatic cell count
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Genetic parameters for somatic cell score according to udder infection status in Valle del Belice dairy sheep and impact of imperfect diagnosis of in…

2010

Abstract Background Somatic cell score (SCS) has been promoted as a selection criterion to improve mastitis resistance. However, SCS from healthy and infected animals may be considered as separate traits. Moreover, imperfect sensitivity and specificity could influence animals' classification and impact on estimated variance components. This study was aimed at: (1) estimating the heritability of bacteria negative SCS, bacteria positive SCS, and infection status, (2) estimating phenotypic and genetic correlations between bacteria negative and bacteria positive SCS, and the genetic correlation between bacteria negative SCS and infection status, and (3) evaluating the impact of imperfect diagno…

Somatic cellInheritance PatternsCell CountMastitisclinical mastitisSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoPrevalenceGenetics(clinical)Udderlcsh:SF1-1100Geneticsmixture modelbiologyintegumentary systemGeneral Medicinesomatic cell count diagnosis of infection dairy sheepDairyingPhenotypemedicine.anatomical_structureItalycountHealthprotein percentageFemaletissueslcsh:QH426-470Sheep DiseaseslactationAnimal Breeding and GenomicsSensitivity and SpecificityGenetic correlationMammary Glands AnimalQuantitative Trait Heritablemilk-yieldGeneticsmedicineAnimalsFokkerij en GenomicaDiagnostic Errorssubclinical mastitisEcology Evolution Behavior and SystematicsSelection (genetic algorithm)SheepBacteriaResearchewespathogensHeritabilitymedicine.diseasebiology.organism_classificationMastitislcsh:Geneticsnervous systemcattleWIASAnimal Science and ZoologyFlocklcsh:Animal cultureBacteria
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