Search results for "selection"

showing 10 items of 1940 documents

Bacteriophage selection against a plasmid-encoded sex apparatus leads to the loss of antibiotic-resistance plasmids.

2011

Antibiotic-resistance genes are often carried by conjugative plasmids, which spread within and between bacterial species. It has long been recognized that some viruses of bacteria (bacteriophage; phage) have evolved to infect and kill plasmid-harbouring cells. This raises a question: can phages cause the loss of plasmid-associated antibiotic resistance by selecting for plasmid-free bacteria, or can bacteria or plasmids evolve resistance to phages in other ways? Here, we show that multiple antibiotic-resistance genes containing plasmids are stably maintained in bothEscherichia coliandSalmonella entericain the absence of phages, while plasmid-dependent phage PRD1 causes a dramatic reduction i…

Salmonella typhimuriumvirusesR Factorsmedicine.disease_causePolymerase Chain ReactionMicrobiologyBacteriophagePlasmidAntibiotic resistanceKanamycinDrug Resistance BacterialmedicineBacteriophage PRD1Selection GeneticEscherichia coliPhage typingGeneticsEvolutionary BiologybiologyEscherichia coli K12ta1182Kanamycinbiology.organism_classificationAgricultural and Biological Sciences (miscellaneous)Anti-Bacterial AgentsSalmonella entericaConjugation GeneticGenetic FitnessGeneral Agricultural and Biological SciencesBacteriamedicine.drugBiology Letters
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A Sample Selection Model for Unit and Item Nonresponse in Cross-Sectional Surveys

2007

We consider a general sample selection model where unit and item nonresponse simultaneously affect a regression relationship of interest, and both types of nonresponse are potentially correlated. We estimate both parametric and semiparametric specifications of the model. The parametric specification assumes that the errors in the latent regression equations follow a trivariate Gaussian distribution. The semiparametric specification avoids distributional assumptions about the underlying regression errors. In our empirical application, we estimate Engel curves for consumption expenditure using data from the first wave of SHARE (Survey on Health, Aging and Retirement in Europe).

Sample selectionConsumption (economics)symbols.namesakeCross-sectional studyGaussianStatisticsEngel curvesymbolsEconomicsEconometricsRegressionParametric statisticsUnit (housing)SSRN Electronic Journal
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Long term effect of teenage birth on earnings: Evidence from a British cohort study

2016

We use data from the 1970 British Cohort Study and evaluate the effect of teenage motherhood on hourly earnings at age 30, 34, 38, and 42 using alternative non-experimental estimation methods including linear regression, matching methods, and Heckman sample selection models. We conclude that teenage motherhood has a significant negative long-term effect on hourly wages. At age 42, teenage mothers earn 12% less than other women and 29% less than women who have not had any children. When compared to non-teenage mothers, the pay penalty reduces over time and becomes insignificant on the long term.

Sample selectionEconomics and EconometricsEarnings05 social sciences[SHS.ECO]Humanities and Social Sciences/Economics and Finance0506 political scienceTerm (time)8. Economic growth0502 economics and businessLinear regression050602 political science & public administrationEconometricsEconomicsTerm effect050207 economicsEstimation methodshealth care economics and organizationsDemography1970 British Cohort StudyCohort study
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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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Snowball ICA: A Model Order Free Independent Component Analysis Strategy for Functional Magnetic Resonance Imaging Data

2020

In independent component analysis (ICA), the selection of model order (i.e., number of components to be extracted) has crucial effects on functional magnetic resonance imaging (fMRI) brain network analysis. Model order selection (MOS) algorithms have been used to determine the number of estimated components. However, simulations show that even when the model order equals the number of simulated signal sources, traditional ICA algorithms may misestimate the spatial maps of the signal sources. In principle, increasing model order will consider more potential information in the estimation, and should therefore produce more accurate results. However, this strategy may not work for fMRI because …

Scale (ratio)Computer sciencedimension reduction050105 experimental psychologylcsh:RC321-57103 medical and health sciencestoiminnallinen magneettikuvaus0302 clinical medicineSoftwareComponent (UML)0501 psychology and cognitive sciencesmutual informationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatrySelection (genetic algorithm)Original Researchmodel ordersignaalinkäsittelyNoise (signal processing)business.industryGeneral NeuroscienceDimensionality reduction05 social sciencessignaalianalyysiriippumattomien komponenttien analyysiPattern recognitionMutual informationIndependent component analysisfunctional magnetic resonance imagingindependent component analysisArtificial intelligencebusiness030217 neurology & neurosurgeryNeuroscienceFrontiers in Neuroscience
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Comparative study of techniques for large-scale feature selection* *This work was suported by a SERC grant GR/E 97549. The first author was also supp…

1994

The combinatorial search problem arising in feature selection in high dimensional spaces is considered. Recently developed techniques based on the classical sequential methods and the (l, r) search called Floating search algorithms are compared against the Genetic approach to feature subset search. Both approaches have been designed with the view to give a good compromise between efficiency and effectiveness for large problems. The purpose of this paper is to investigate the applicability of these techniques to high dimensional problems of feature selection. The aim is to establish whether the properties inferred for these techniques from medium scale experiments involving up to a few tens …

Scale (ratio)Feature (computer vision)Floating searchCombinatorial searchFeature selectionData miningSubset searchcomputer.software_genreMedium scalecomputerOrder of magnitudeMathematics
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19F-MRT der Lungenventilation in Atemanhaltetechnik mittels SF6-Gas

2000

Breathhold 19 F-Magnetic Resonance Imaging of Lung Ventilation using SF 6 Gas. Objective: Development of a method to analyze lung ventilation by 19 F-magnetic resonance imaging (MRI) of inspired SF 6 gas during breathhold. Material and Methods: Measurements were performed with a Siemens Magnetom Vision 1.5T scanner using the conventional gradient overdrive. Coronal images of the lung were acquired using ultrafast gradient-echo pulse sequences with TR/TE/α = 1.4 ms/ 0.48 ms/40° without slice selection. With NEX = 200 averages and MA = 32 × 64 raw data matrix, the acquisition time was 9s/image. Higher spatial resolution of 4.7 × 6.3 × 15 mm 3 was obtained with a three-dimensional pulse sequen…

ScannerMaterials sciencebusiness.industryPulse (signal processing)Image qualityPulse sequenceNuclear magnetic resonanceSignal-to-noise ratio (imaging)Slice selectionRadiology Nuclear Medicine and imagingSignal averagingNuclear medicinebusinessImage resolutionRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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