Search results for "ample"

showing 10 items of 2398 documents

On the distribution of education and democracy

2006

This paper empirically analyzes the influence of the distribution of education on democracy by controlling for unobservable heterogeneity and by taking into account the persistency of some of the variables. The most novel finding is that increase in the education attained by the majority of the population is what matters for the implementation and sustainability of democracy, rather than the average years of schooling. We show this result is robust to issues pertaining omitted variables, outliers, sample selection, or a narrow definition of the variables used to measure democracy.

Sample selectionEconomics and Econometricseducation.field_of_studybusiness.industrymedia_common.quotation_subjectPopulationDistribution (economics)DevelopmentUnobservableDemocracyMicroeconomicsDemocracy political economy education inequality dynamic panel data modelSustainabilityOutlierjel:O10EconometricsEconomicsjel:P16educationbusinessmedia_commonJournal of Development Economics
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Reply to Douka et al: Critical evaluation of the Ksâr 'Akil chronologies

2015

Our paper (1) proposes a new chronology for Ksâr 'Akil based on 16 accelerator mass spectrometry (AMS) determinations on shells. To minimize the possibility of dating diagenetically compromised samples, we conducted amino acid racemization analyses on the intracrystalline proteins, oxygen isotope analysis, and geochemical characterization of all dated shells. Our calibrated radiocarbon ages fit well with existing Levantine chronologies, but are up to 4,000 y older than Douka et al.’s (2). Our paper explores several possibilities for this difference, whereas Douka et al. (3) provide alternative explanations. They accept our radiocarbon ages as correct but question our sample selection and Ba…

Sample selectionPaleontologyGeographyMultidisciplinarylawHumans; Human Migration; MultidisciplinaryHuman MigrationAmino acid datingHumansRadiocarbon datingLetterslaw.inventionAccelerator mass spectrometry
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Corruption-Related Disclosure in the Banking Industry: Evidence From GIPSI Countries

2022

This paper empirically investigates corruption-related disclosure in the banking industry, aiming to identify the most relevant theories which explain why financial institutions disclose corruption-related information to the public in their annual financial reports.Using a total sample of 88 banks from the GIPSI countries during the period 2011-2019, our results reveal that, on average, banks involved in corruption issues disclose less on corruption-related information than banks not involved in any corruption scandal. Moreover, banks not involved in corruption cases disclose even more information after other banks’ corruption events become public. These basic relationships, however, are sh…

Sample selectionReverse causalityEconometric modelEmpirical researchCorruptionmedia_common.quotation_subjectEconomics Econometrics and Finance (miscellaneous)Control (management)Sample (statistics)Financial systemBusinessBanking industrymedia_commonSSRN Electronic Journal
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A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery

2017

This paper proposes a Genetic Algorithm (GA) approach to clean a given classifier training set for remote sensing image analysis. Starting from an initial set of training data, the new method called GA-Training Label Purifying (GA-TLP) consists of the significant training sample selection using GAs in order to maximize the classifier accuracy. This means to retain the most informative samples and to remove the uncertain, redundant, and misclassified ones. As a result of the selection process, we can obtain a purified training set. The proposed model is implemented and evaluated using a LANDSAT 7 ETM+ image. The experimental results confirm the effectiveness of the proposed approach.

Sample selectionSupport vector machineTraining set020204 information systemsGenetic algorithm0211 other engineering and technologies0202 electrical engineering electronic engineering information engineering02 engineering and technologyClassifier (UML)021101 geological & geomatics engineeringRemote sensing2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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A new method for fluoride determination by using fluorophores and dyes anchored onto MCM-41

2002

A new colourimetric and fluorimetric method for fluoride determination in aqueous samples based on the specific reaction between fluoride and silica has been developed and applied on real samples. Descalzo Lopez, Ana Belen, adeslo@alumni.uv.es ; El Haskouri, Jamal, Jamal.Haskouri@uv.es ; Beltran Porter, Daniel, Daniel.Beltran@uv.es ; Amoros del Toro, Pedro Jose, Pedro.Amoros@uv.es

SamplesReactionUNESCO::QUÍMICAUNESCO::QUÍMICA::Química analítica:QUÍMICA::Química analítica [UNESCO]FluorophoresFluoride detrmination ; Fluorophores ; Reaction ; Samples:QUÍMICA [UNESCO]Fluoride detrmination
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Revista electrónica de investigación y evaluación educativa

2014

Resumen basado en el de la publicación Título, resumen y palabras clave en inglés y español Se analiza el estatus del género existente en los equipos o consejos editoriales de las revistas científicas españolas de Educación. A priori, se indaga el estatus de la eminencia científica en el campo de la Educación; con el fin de detectar los posibles sesgos de género. Como análisis complementario se considera la nacionalidad o procedencia de los miembros de los consejos editoriales de las revistas de Educación. El hallazgo principal testimonia un fuerte sesgo contra las mujeres cuando éstas son consideradas editoras. Valencia ESP

Sampling; Sample Size; Statistical Distributions Research Design Validity Estimation (Mathematics)Sample SizeEspañadiferencia de sexoindustria editorialeducaciónSamplingpublicación periódicaStatistical Distributions Research Design Validity Estimation (Mathematics)EducationRELIEVE - Revista Electrónica de Investigación y Evaluación Educativa
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Validation of the Marathon Motivation Scale in Chile

2021

The objective of this work was to validate the Marathon Motivation Scale (MOMS) for its application in the Chilean context. The study used a non-experimental, descriptive and transversal design. The sample was non-probability and intentional and was composed of 250 subjects (143 male and 104 female) runners who participated in the International Marathon of Viña del Mar with an average age of 29.8 (TD = 10.1) years. For the analysis of the data, an exploratory factorial analysis was carried out with free parameters, another one with seven factors fixed to the theoretical dimensions and a confirmatory factorial analysis with the items corresponding to the MOMS model. The validity and reliabil…

Scale (ratio)ValidityPhysical Therapy Sports Therapy and RehabilitationSample (statistics)Context (language use)010501 environmental sciences01 natural sciencesMotivation scale0502 economics and businessStatisticsEducación Física y Deportivalcsh:Sports medicinechilean validation0105 earth and related environmental sciencesFactorial model05 social sciencesSpanish versionmotivation scaleChilean validationTransversal designmarathonersFactorial analysislcsh:RC1200-1245PsychologyMarathoners050203 business & managementJournal of Human Sport and Exercise
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Towards a mean body for apparel design

2016

This paper focuses on shape average with applications to the apparel industry. Apparel industry uses a consensus sizing system; its major concern is to fit most of the population into it. Since anthropometric measures do not grow linearly, it is important to find prototypes to accurately represent each size. This is done using random compact mean sets, obtained from a cloud of 3D points given by a scanner and applying to the sample a previous definition of mean set. Additionally, two approaches to define confidence sets are introduced. The methodology is applied to data obtained from a real anthropometric survey. This paper has been partially supported by the following grants: TIN2009-14392…

ScannerComputer sciencePopulationCloud computingSample (statistics)02 engineering and technologycomputer.software_genre01 natural sciencesSet (abstract data type)010104 statistics & probabilityMean setAnthropometric surveyApparel design0202 electrical engineering electronic engineering information engineering0101 mathematicseducationeducation.field_of_studybusiness.industryConfidence setClothingSizingCompact spaceSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionData miningbusinesscomputerImage and Vision Computing
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2016

Abstract. Various geoscientific applications require a fast prediction of fracture permeability for an optimal workflow. Hence, the objective of the current study is to introduce and validate a practical method to characterize and approximate single flow in fractures under different stress conditions by using a core-flooding apparatus, in situ X-ray computed tomography (CT) scans and a finite-volume method solving the Navier–Stokes–Brinkman equations. The permeability of the fractured sandstone sample was measured stepwise during a loading–unloading cycle (0.7 to 22.1 MPa and back) to validate the numerical results. Simultaneously, the pressurized core sample was imaged with a medical X-ray…

ScannerMaterials science010504 meteorology & atmospheric sciencesThreshold limit valueStratigraphyAttenuationPaleontologySoil ScienceCore sampleGeologyMechanics010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesTortuosityPermeability (earth sciences)GeophysicsGeochemistry and PetrologyVoxelFluid dynamicsGeotechnical engineeringcomputer0105 earth and related environmental sciencesEarth-Surface ProcessesSolid Earth
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A new methodology for Functional Principal Component Analysis from scarce data. Application to stroke rehabilitation.

2015

Functional Principal Component Analysis (FPCA) is an increasingly used methodology for analysis of biomedical data. This methodology aims to obtain Functional Principal Components (FPCs) from Functional Data (time dependent functions). However, in biomedical data, the most common scenario of this analysis is from discrete time values. Standard procedures for FPCA require obtaining the functional data from these discrete values before extracting the FPCs. The problem appears when there are missing values in a non-negligible sample of subjects, especially at the beginning or the end of the study, because this approach can compromise the analysis due to the need to extrapolate or dismiss subje…

Scarce dataFunctional principal component analysisPrincipal Component AnalysisComputer scienceProcess (engineering)Stroke RehabilitationSample (statistics)Missing datacomputer.software_genreStrokePrincipal component analysisHumansData miningcomputerAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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