Search results for "l2"

showing 10 items of 413 documents

The Rare IL22RA2 Signal Peptide Coding Variant rs28385692 Decreases Secretion of IL-22BP Isoform-1, -2 and -3 and Is Associated with Risk for Multipl…

2020

The IL22RA2 locus is associated with risk for multiple sclerosis (MS) but causative variants are yet to be determined. In a single nucleotide polymorphism (SNP) screen of this locus in a Basque population, rs28385692, a rare coding variant substituting Leu for Pro at position 16 emerged significantly (p = 0.02). This variant is located in the signal peptide (SP) shared by the three secreted protein isoforms produced by IL22RA2 (IL-22 binding protein-1(IL-22BPi1), IL-22BPi2 and IL-22BPi3). Genotyping was extended to a Europe-wide case-control dataset and yielded high significance in the full dataset (p = 3.17 &times

Signal peptideGene isoformSignal peptidePopulationSingle-nucleotide polymorphismLocus (genetics)610 Medicine & healthBiologymultiple sclerosisMultiple sclerosis03 medical and health sciences0302 clinical medicineSNPIL-22 binding protein isoformsignal peptideddc:610Alleleeducation610 Medicine &amp; healthlcsh:QH301-705.5Peptide sequence030304 developmental biology0303 health scienceseducation.field_of_studyautoimmuneGeneral MedicineMolecular biologylcsh:Biology (General)<i>IL22RA2</i>IL22RA2Mutation[SDV.IMM]Life Sciences [q-bio]/Immunologymutation030217 neurology & neurosurgeryAutoimmune
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Superposing significant interaction rules (SSIR) method: a simple procedure for rapid ranking of congeneric compounds

2020

The Superposing Significant Interaction Rules (SSIR) method is revised and implemented. The method is a simple combinatorial procedure, which deals with in situ generated rules among a dichotomized congeneric molecular family, selecting the most probabilistically relevant ones. The mere counting of the number of relevant rules attached to new compounds generates a molecular ranking useful for database filtering, refinement and prediction. The algorithm only needs for a symbolic molecular representation and this allows for mining the database in a confidential manner. Third parties will not know the real compounds that are on the way to be worked out. The procedure is tested for a complete s…

Simple (abstract algebra)Computer sciencebusiness.industryQuímica combinatòriaPattern recognitionCombinatorial chemistrySSIR method; Congener series; Ranking; SAR; Balanced Leave-two-out cross validation (BL2O)General ChemistryArtificial intelligenceQuímicabusinessRanking (information retrieval)
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Site symmetry approach applied to the supercell model of MgAl2O4 spinel with oxygen interstitials: Ab initio calculations

2018

This study has been carried out within the framework of the EUROfusion Consortium and has been provided funding from the Euratom research and training programme 2014-2018 under grant agreement No 633053. The authors are indebted to E.A. Kotomin, A.I. Popov and R. Vila for stimulating discussions. The views and opinions expressed herein do not necessarily reflect those of the European Commission. Calculations have been performed using both the Marconi supercomputer system at the Computational Simulation Centre (Italy) and the Computer Center of St. Petersburg State University.

Single neutral oxygen interstitialMaterials scienceGeneral Computer ScienceBand gapSite symmetryGeneral Physics and Astronomy02 engineering and technologyengineering.material010402 general chemistry01 natural sciencesMolecular physicsPhysics::GeophysicsCrystalCondensed Matter::Materials ScienceLattice constantPerfect crystalAb initio quantum chemistry methods:NATURAL SCIENCES:Physics [Research Subject Categories]General Materials ScienceBulk modulusSpinelMgAl2O4 spinelGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesComputational MathematicsMechanics of MaterialsengineeringWyckoff positions0210 nano-technologyFirst principles calculations
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Yleisten kielitutkintojen arvioijien käsityksiä thainkieliseksi tunnistettujen suomenoppijoiden suullisesta kielitaidosta

2020

Artikkelissa tarkastellaan sitä, miten thainkielisten suomenoppijoiden (N=10) ensikielen tunnistaminen vaikuttaa Yleisten kielitutkintojen (YKI) suomen arvioijien (N=44) käsityksiin kielitaidosta ja millaisia käsityksiä arvioijilla on thainkielisten suullisesta kielitaidosta. Artikkelin aineisto liittyy Rikkinäistä suomea-hankkeeseen, jossa thainkieliset oli yksi tutkimukseen osallistuneesta ensikielen ryhmittymästä. Artikkelissa määrällisen aineiston avulla tarkastellaan tunnistamista ja arvioinnissa käytettyjen kuuden analyyttisen arviointikriteerin käyttöä. Laadullinen aineisto koostuu arvioijien kirjoittamista ensikielen tunnistamiseen ja oppijoiden kielitaitoon liittyvistä huomioista, …

Speech productionlanguage beliefssuomen kieliintonaatio (puhe)media_common.quotation_subjectratersthainkielisetsujuvuuskielitaidon arviointiQualitative propertyPronunciationääntäminenThai speakersFluencyPerceptionsuullinen kielitaitoMathematics educationsuomi vieraana kielenäsuomenoppijatthain kieliProduct (category theory)language assessmentControl (linguistics)kielen oppiminenGeneral Environmental Sciencemedia_commonkielitutkinnotprosodiikkakielitaitoFinnish L2 learnersspeaking skillsContent analysiskielitaitokäsityksetarvioijatGeneral Earth and Planetary SciencesArtikkelitPsychologyarviointiaksentti
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Fast Estimation of the Median Covariation Matrix with Application to Online Robust Principal Components Analysis

2017

International audience; The geometric median covariation matrix is a robust multivariate indicator of dispersion which can be extended without any difficulty to functional data. We define estimators, based on recursive algorithms, that can be simply updated at each new observation and are able to deal rapidly with large samples of high dimensional data without being obliged to store all the data in memory. Asymptotic convergence properties of the recursive algorithms are studied under weak conditions. The computation of the principal components can also be performed online and this approach can be useful for online outlier detection. A simulation study clearly shows that this robust indicat…

Statistics and ProbabilityComputer scienceMathematics - Statistics TheoryStatistics Theory (math.ST)01 natural sciences010104 statistics & probabilityMatrix (mathematics)Dimension (vector space)Geometric medianStochastic gradientFOS: Mathematics0101 mathematicsL1-median010102 general mathematicsEstimator[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Geometric medianCovariance[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Functional dataMSC: 62G05 62L20Principal component analysisProjection pursuitAnomaly detectionRecursive robust estimationStatistics Probability and UncertaintyAlgorithm
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New approach to numerical computation of the eigenfunctions of the continuous spectrum of three-particle Schrödinger operator: I. One-dimensional par…

2009

Basing on analogy between the three-body scattering problem and the diffraction problem of the plane wave (for the case of the short range pair potentials) by the system of six half transparent screens, we presented a new approach to the few-body scattering problem. The numerical results have been obtained for the case of the short range nonnegative pair potentials. The presented method allows a natural generalization to the case of the long range pair potentials.

Statistics and ProbabilityDiffractionGeneralizationScattering34L25 81U08ComputationOperator (physics)Continuous spectrumMathematical analysisPlane waveGeneral Physics and AstronomyStatistical and Nonlinear PhysicsGeometryEigenfunctionModeling and SimulationMathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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Recursive estimation of the conditional geometric median in Hilbert spaces

2012

International audience; A recursive estimator of the conditional geometric median in Hilbert spaces is studied. It is based on a stochastic gradient algorithm whose aim is to minimize a weighted L1 criterion and is consequently well adapted for robust online estimation. The weights are controlled by a kernel function and an associated bandwidth. Almost sure convergence and L2 rates of convergence are proved under general conditions on the conditional distribution as well as the sequence of descent steps of the algorithm and the sequence of bandwidths. Asymptotic normality is also proved for the averaged version of the algorithm with an optimal rate of convergence. A simulation study confirm…

Statistics and ProbabilityMallows-Wasserstein distanceRobbins-Monroasymptotic normalityCLTcentral limit theoremAsymptotic distributionMathematics - Statistics TheoryStatistics Theory (math.ST)01 natural sciencesMallows–Wasserstein distanceonline data010104 statistics & probability[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]60F05FOS: MathematicsApplied mathematics[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematics62L20MathematicsaveragingSequential estimation010102 general mathematicsEstimatorRobbins–MonroConditional probability distribution[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Geometric medianstochastic gradient[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]robust estimatorRate of convergenceConvergence of random variablesStochastic gradient.kernel regressionsequential estimationKernel regressionStatistics Probability and Uncertainty
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Uniform convergence and asymptotic confidence bands for model-assisted estimators of the mean of sampled functional data

2013

When the study variable is functional and storage capacities are limited or transmission costs are high, selecting with survey sampling techniques a small fraction of the observations is an interesting alternative to signal compression techniques, particularly when the goal is the estimation of simple quantities such as means or totals. We extend, in this functional framework, model-assisted estimators with linear regression models that can take account of auxiliary variables whose totals over the population are known. We first show, under weak hypotheses on the sampling design and the regularity of the trajectories, that the estimator of the mean function as well as its variance estimator …

Statistics and ProbabilityMean squared errorMathematics - Statistics TheoryStatistics Theory (math.ST)Hájek estimator62D05; 62E20 62M9901 natural sciences010104 statistics & probabilityMinimum-variance unbiased estimatorBias of an estimator[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]60F050502 economics and businessStatisticsConsistent estimatorFOS: Mathematicscovariance functionHorvitz-Thompson estimator[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]62L200101 mathematicssurvey sampling050205 econometrics Variance functionMathematicsGREG05 social sciencesEstimator[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]calibration[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]linear interpolation.linear interpolationEfficient estimatorStatistics Probability and Uncertaintyfunctional linear modelInvariant estimator
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Susceptibility variants for obesity and type 2 diabetes mellitus in the population of Latvia

2014

Darbs ietver pētījumus par riska gēnu lokusos esošo biežo variantu saistību ar 2.tipa cukura diabētu (T2D) un aptaukošanos Latvijas populācijā. Pētījumu parādīja, ka potenciāli funkcionāls variants AGRP asociējas ar paaugstinātu ĶMI. Savukārt, adiponektīna gēna rajonā esošie varianti nav uzskatāmi par būtiskiem aptaukošanās un T2D riska faktoriem mūsu populācijā, bet iespējams ir iesaistīti kardiovaskulāro saslimšanu patoģenēzē. Varianti TCF7L2 ir nozīmīgi T2D riska faktori pacientiem ar normālu ķermeņa svaru. Iegūtie dati papildina informāciju par FTO un TMEM18 rajonos esošo adipozitātes riska variantu saistību ar T2D neatkarīgi no to ietekmes uz izmaiņām ĶMI. Varianti FTO ceturtajā intron…

TCF7L2adiponectindiabetesMolecular biologydiabētsadiponektīnsBioloģijaFTOAGRPMolekulārā bioloģija
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Polymorphism of the transcription factor 7-like 2 gene (TCF7L2) interacts with obesity on type-2 diabetes in the PREDIMED study emphasizing the heter…

2016

Nutrigenetic studies analyzing gene–diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2-rs7903146 is one of the most influential variants in T2D-genetic risk scores (GRS). Therefore, to increase the predictive value (PV) of GRS it is necessary to first see whether the included polymorphisms have heterogeneous effects. We comprehensively investigated gene-obesity interactions between the TCF7L2-rs7903146 C > T polymorphism on T2D (prevalence and incidence) and analyzed other T2D-polymorphisms in a sub-sample. We studied 7018 PREDIMED …

TCF7L2endocrine system:Ciencias de la Salud::Salud pública [Materias Investigacion]endocrine system diseasesnutritional and metabolic diseasesTCF7L2-predictive valuePREDIMED studyObesityT2D-genetic risk scoresType-2 diabetes
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