Search results for "Data type"

showing 10 items of 1183 documents

Examination of the least-squares method applied to the evaluation of physicochemical parameters with linearized equations

1989

Physicochemical parameters are frequently evaluated by the least-squares method after linearization of the equation which relates the experimental variables to the parameters of interest. When a given set of data is treated to evaluate (n+1) parameters. (n+2) nominally identical linearized equations are possible; each of these leads to different sets of values of the parameters which are also affected by different variances. These differences are also observed when statistical weights are used. Two methods for establishing which one of the (n+2) equations is best for fitting the data, i.e., simulation of experiments and propagation of errors, are discussed, compared and applied to a potenti…

Propagation of uncertaintyChemistryPotentiometric titrationValue (computer science)BiochemistryAnalytical ChemistrySet (abstract data type)Investigation methodsLinearizationStatisticsEnvironmental ChemistryApplied mathematicsSpectroscopyEquilibrium constantAnalytica Chimica Acta
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Identification of new claudin family members by a novel PSI-BLAST based approach with enhanced specificity.

2006

In an attempt to develop a novel strategy for the identification of new members of protein families by in silico approaches, we have developed a semi-automated procedure of consecutive PSI-BLAST (Position-Specific-Iterated Basic Local Alignment Search Tool) searches incorporating identificiation as well as subsequent validation of putative candidates. For a proof of concept study we chose the search for novel members of the claudin family. The initial step was an iterated PSI-BLAST search starting with the PMP22_Claudin domain of each known member of the claudin family against the human part of the RefSeq Database. Putative new claudin domains derived from the converged list were evaluated …

Protein familyIn silicoMolecular Sequence DataSequence alignmentBiologycomputer.software_genreBiochemistrySet (abstract data type)Protein structureStructural BiologySequence Analysis ProteinRefSeqFalse positive paradoxHumansAmino Acid SequenceClaudinDatabases ProteinMolecular BiologyPhylogenyReverse Transcriptase Polymerase Chain ReactionComputational BiologyMembrane ProteinsProtein Structure TertiaryData miningcomputerSequence AlignmentProteins
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Experimental Evaluation of Protein Secondary Structure Predictors

2009

Understanding protein biological function is a key issue in modern biology, which is largely determined by its 3D shape. Protein 3D shape, in its turn, is functionally implied by its amino acid sequence. Since the direct inspection of such 3D structures is rather expensive and time consuming, a number of software techniques have been developed in the last few years that predict a spatial model, either of the secondary or of the tertiary form, for a given target protein starting from its amino acid sequence. This paper offers a comparison of several available automatic secondary structure prediction tools. The comparison is of the experimental kind, where two relevant sets of proteins, a non…

Protein structure databasebusiness.industryProtein structure predictionBioinformaticsMachine learningcomputer.software_genreSet (abstract data type)Bioinformatics Protein PredictionTest caseGlobal distance testArtificial intelligenceCASPbusinessPeptide sequencecomputerProtein secondary structure
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Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data

2013

Background The identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. Technologies like mass spectrometry are commonly being used in proteomic research. Mass spectrometry signals show the proteomic profiles of the individuals under study at a given time. These profiles correspond to the recording of a large number of proteins, much larger than the number of individuals. These variables come in addition to or to complete classical clinical variables. The objective of this study is to evaluate and compare the predictive ability of new and existing models combining mass spectrometry data and classical clinical variables. This study was co…

ProteomicsComputer sciencePredictive valueContext (language use)computer.software_genreMass spectrometryBiochemistryData typeHigh-dimensionLasso (statistics)Structural BiologyHumansMolecular BiologySelection (genetic algorithm)Applied MathematicsDimensionality reductionClassificationData scienceComputer Science ApplicationsFatty LiverIdentification (information)Sample SizeSpectrometry Mass Matrix-Assisted Laser Desorption-IonizationClinical dataBiomarker (medicine)Classification methodsData miningDNA microarraycomputerAlgorithmsBiomarkersResearch ArticleBMC Bioinformatics
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A no-go result for the quantum damped harmonic oscillator

2019

Abstract In this letter we show that it is not possible to set up a canonical quantization for the damped harmonic oscillator using the Bateman Lagrangian. In particular, we prove that no square integrable vacuum exists for the natural ladder operators of the system, and that the only vacua can be found as distributions. This implies that the procedure proposed by some authors is only formally correct, and requires a much deeper analysis to be made rigorous.

Pseudo-bosonPhysicsQuantum PhysicsCanonical quantizationFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasSet (abstract data type)Quantum damped harmonic oscillatorsymbols.namesakeClassical mechanicsLadder operatorSquare-integrable functionGo/no go0103 physical sciencessymbolsQuantum Physics (quant-ph)010306 general physicsSettore MAT/07 - Fisica MatematicaQuantumLagrangianHarmonic oscillatorPhysics Letters A
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A Constructive Arboricity Approximation Scheme

2020

The arboricity \(\varGamma \) of a graph is the minimum number of forests its edge set can be partitioned into. Previous approximation schemes were nonconstructive, i.e., they approximate the arboricity as a value without computing a corresponding forest partition. This is because they operate on pseudoforest partitions or the dual problem of finding dense subgraphs.

PseudoforestArboricityApproximation algorithm0102 computer and information sciences02 engineering and technology01 natural sciencesConstructiveCombinatoricsSet (abstract data type)Computer Science::Discrete Mathematics010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Partition (number theory)020201 artificial intelligence & image processingMatroid partitioningComputer Science::Data Structures and AlgorithmsGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Computer Science::Distributed Parallel and Cluster ComputingMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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Assessment Tests in the Mathematics Teaching Guides in Spain. Analysis of the Content Blocks and the Treatment of Arithmetic Word Problems

2021

The teaching guides that complement textbooks have key importance in the assessment of competence in problem solving, because these materials contain the assessment tools that teachers frequently use to quantify the achievements of their students. In this paper, we set two aims: to analyze which curriculum contents are given priority in the assessment tests of the teaching guides

Public AdministrationProcess (engineering)Physical Therapy Sports Therapy and Rehabilitationcurriculum content01 natural sciencesEducationSet (abstract data type)Aritmètica EnsenyamentDevelopmental and Educational PsychologyComputer Science (miscellaneous)Mathematics educationComputingMilieux_COMPUTERSANDEDUCATION0101 mathematicsCurriculumCompetence (human resources)Complement (set theory)010102 general mathematics05 social sciences050301 educationteaching guidesLComputer Science ApplicationsContent (measure theory)textbooksMathematical problem solving0503 educationverbal arithmetic problem solvingEducation Sciences
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Parameter dependence for the positive solutions of nonlinear, nonhomogeneous Robin problems

2020

We consider a parametric nonlinear Robin problem driven by a nonlinear nonhomogeneous differential operator plus an indefinite potential. The reaction term is $$(p-1)$$-superlinear but need not satisfy the usual Ambrosetti–Rabinowitz condition. We look for positive solutions and prove a bifurcation-type result for the set of positive solutions as the parameter $$\lambda >0$$ varies. Also we prove the existence of a minimal positive solution $$u_\lambda ^*$$ and determine the monotonicity and continuity properties of the map $$\lambda \rightarrow u_\lambda ^*$$.

Pure mathematicsAlgebra and Number TheoryApplied MathematicsMathematics::Analysis of PDEsMonotonic functionNonlinearDifferential operatorLambdaBifurcation-type resultTerm (time)Positive solutionSet (abstract data type)Computational MathematicsNonlinear systemSettore MAT/05 - Analisi MatematicaIndefinite potentialNonhomogeneous differential operatorGeometry and TopologySuperlinear reaction termAnalysisNonlinear regularity theoryParametric statisticsMathematicsRevista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas
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Some coincidence and periodic points results in a metric space endowed with a graph and applications

2015

The purpose of this paper is to obtain some coincidence and periodic points results for generalized $F$-type contractions in a metric space endowed with a graph. Some examples are given to illustrate the new theory. Then, we apply our results to establishing the existence of solution for a certain type of nonlinear integral equation.

Pure mathematicsAlgebra and Number TheoryPeriodic sequencePeriodic pointCoincidence point nonlinear integral equation periodic point.Type (model theory)TopologyNonlinear integral equationnonlinear integral equationCoincidenceCoincidence pointMetric spaceperiodic point54H25Settore MAT/05 - Analisi MatematicaGraph (abstract data type)05C40Coincidence pointAnalysis47H10Mathematics
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Measures with predetermined regularity and inhomogeneous self-similar sets

2016

We show that if $X$ is a uniformly perfect complete metric space satisfying the finite doubling property, then there exists a fully supported measure with lower regularity dimension as close to the lower dimension of $X$ as we wish. Furthermore, we show that, under the condensation open set condition, the lower dimension of an inhomogeneous self-similar set $E_C$ coincides with the lower dimension of the condensation set $C$, while the Assouad dimension of $E_C$ is the maximum of the Assouad dimensions of the corresponding self-similar set $E$ and the condensation set $C$. If the Assouad dimension of $C$ is strictly smaller than the Assouad dimension of $E$, then the upper regularity dimens…

Pure mathematicsAssouad dimensionGeneral MathematicsOpen set01 natural sciencesMeasure (mathematics)Complete metric space54E35010305 fluids & plasmasSet (abstract data type)Dimension (vector space)0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematicsinhomogeneous self-similar setMathematics::Metric Geometry28A200101 mathematicsMathematics010102 general mathematicsta111doubling metric space54F45lower dimensionMathematics - Classical Analysis and ODEs28A75uniform perfectness
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