Search results for "SELE"

showing 10 items of 4721 documents

Improved Salmonella recovery from moderate to highly polluted waters.

1982

A new enrichment procedure for the recovery of salmonellas from aquatic environments is proposed. It has been tested in a eutrophic lake showing moderate to high faecal contamination levels (the Albufera lake near Valencia, Spain), and in effluents coming into a wastewater treatment plant. The new method consists of the addition of sodium novobiocin to a modification of Rappaport's medium (R10/43°C). The new medium (NR10/43°C) allows a better recovery of salmonellas from water than selenite broth.

SalmonellaSewageEcologyAquatic ecosystemSodiumWater Pollutionchemistry.chemical_elementSelenite brothContaminationBiologymedicine.disease_causeApplied Microbiology and BiotechnologyMicrobiologyCulture MediachemistrySalmonellaEnvironmental chemistrymedicineSewage treatmentEutrophicationWater MicrobiologyEffluentNovobiocinThe Journal of applied bacteriology
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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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Regio- and stereoselective synthesis of spiro-heterocycles bearing the pyrazole scaffold via [3+2] cycloaddition reaction

2022

Abstract Herein we reported the utility of one-pot multicomponent based [3+2] cycloaddition reaction transformation to prepare a new two hybrids of spirooxindoles engrafted with pyrazole skeleton. Upon treatment of the electron-deficient olefins based pyrazole motif with in situ the generated azomethine ylides (AY) of sarcosine with the 6-chloro-isatin afforded spiroadducts. To enlighten the regio- and diastereo-selectivity of these spiroheterocycles, single crystal X-ray diffraction analysis was presented. Using Hirshfeld calculations, many short distance contacts such as O…H, Cl…H, N…H, H…C, C…C and Cl…S have a great impact on the molecular packing and the crystal stability of 8a and 8b. …

SarcosineChemical shiftOrganic ChemistryPyrazoleCycloadditionAnalytical ChemistryInorganic Chemistrychemistry.chemical_compoundsymbols.namesakeDipolechemistryComputational chemistrysymbolsStereoselectivitySingle crystalSpectroscopyDebyeJournal of Molecular Structure
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Heteroaromatic Inhibitors of the Astacin Proteinases Meprin α, Meprin β and Ovastacin Discovered by a Scaffold-Hopping Approach.

2020

Abstract Astacin metalloproteinases, in particular meprins α and β, as well as ovastacin, are emerging drug targets. Drug‐discovery efforts have led to the development of the first potent and selective inhibitors in the last few years. However, the most recent compounds are based on a highly flexible tertiary amine scaffold that could cause metabolic liabilities or decreased potency due to the entropic penalty upon binding to the target. Thus, the aim of this study was to discover novel conformationally constrained scaffolds as starting points for further inhibitor optimization. Shifting from flexible tertiary amines to rigid heteroaromatic cores resulted in a boost in inhibitory activity. …

ScaffoldTertiary amineStereochemistryCell SurvivalAntineoplastic Agentsscaffold hoppingMatrix metalloproteinaseScaffold hoppinghydroxamate01 natural sciencesBiochemistryHydrocarbons AromaticmetalloproteinasesStructure-Activity RelationshipmeprinVery Important PaperDrug DiscoveryTumor Cells CulturedHumansProtease InhibitorsGeneral Pharmacology Toxicology and PharmaceuticsAminesPharmacologyDose-Response Relationship DrugMolecular StructureFull Paper010405 organic chemistryChemistryOrganic ChemistryMetalloendopeptidasesFull PapersovastacinRecombinant Proteinsheteroaromatics0104 chemical sciences010404 medicinal & biomolecular chemistryMetalloproteasesMolecular MedicineAstacinDrug Screening Assays AntitumorSelectivityChemMedChem
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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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