Search results for "collinear"

showing 10 items of 57 documents

LEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: Theory and validation by QSARs

2019

Abstract Novel 3D protein descriptors based on bilinear, quadratic and linear algebraic maps in R n are proposed. The latter employs the kth 2-tuple (dis) similarity matrix to codify information related to covalent and non-covalent interactions in these biopolymers. The calculation of the inter-amino acid distances is generalized by using several dis-similarity coefficients, where normalization procedures based on the simple stochastic and mutual probability schemes are applied. A new local-fragment approach based on amino acid-types and amino acid-groups is proposed to characterize regions of interest in proteins. Topological and geometric macromolecular cutoffs are defined using local and…

0301 basic medicineStatistics and ProbabilityNormalization (statistics)GeneralizationQuantitative Structure-Activity RelationshipGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineLinear regressionAmino AcidsMathematicsGeneral Immunology and MicrobiologyApplied MathematicsStatistical parameterProteinsGeneral MedicineCollinearityStructural Classification of Proteins databaseSupport vector machine030104 developmental biologyModeling and SimulationTest setLinear ModelsGeneral Agricultural and Biological SciencesAlgorithmSoftware030217 neurology & neurosurgeryJournal of Theoretical Biology
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Investigation of the consequences of the modifiable areal unit problem in macroscopic traffic safety analysis: A case study accounting for scale and …

2019

Abstract Traffic safety analysis at the macroscopic level usually relies on previously defined areal traffic analysis zones (TAZs) that are used as the units of investigation. Hence, statistical inference is made on the basis of such units, implying that the consideration of a certain TAZ configuration may influence the results and conclusions achieved. Regarding this, the modifiable areal unit problem (MAUP) is a well-known issue in the field of spatial statistics, which refers to the effects that arise in statistical properties and estimations when there is a change in areal units of analysis. In this paper, the consequences of MAUP have been investigated through a dataset of traffic cras…

050210 logistics & transportationSpatial AnalysisModels StatisticalComputer science05 social sciencesPublic Health Environmental and Occupational HealthAccidents TrafficPoison controlHuman Factors and ErgonomicsStatistical modelModifiable areal unit problemMulticollinearitySpain0502 economics and businessStatisticsCovariateStatistical inferenceHumans0501 psychology and cognitive sciencesCity PlanningSafetySafety Risk Reliability and QualityScale (map)Spatial analysis050107 human factorsAccident; analysis and prevention
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The linear absorbances method adapted to systems with two interfering compounds

1993

The paper exposes the theoretical and experimental study performed with the purpose to extend the application of the Linear Absorbances Method to more complex systems, which present two spectral interferences. The curves of collinearity are developed and a theoretical study of them is carried out. The theoretical equations developed are experimentally tested and the influence of the variables involved in the Linear Absorbance Method is studied, too. It is concluded that the use of couples of collinear wavelengths of the interferents allows to obtain the concentration of a compound in the presence of two interfering substances.

AbsorbanceMaterials scienceComplex systemLinearityCollinearityBiological systemBiochemistryAnalytical ChemistryFresenius' Journal of Analytical Chemistry
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Mapping landscape canopy nitrogen content from space using PRISMA data

2021

Abstract Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently launched and upcoming science-driven missions, e.g. PRecursore IperSpettrale della Missione Applicativa (PRISMA) and Environmental Mapping and Analysis Program (EnMAP), respectively. Moreover, the high-priority mission candidate Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) is expected to globally provide routine hyperspectral observations to support new and enhanced services for, among others, sustainable agricultural and biodiversity management. Thanks to the provision of contiguous visible-to-shortwave infrared spectral data, hyperspectral missions open enhanced …

Active learningActive learning (machine learning)Computer scienceDimensionality reductionHyperspectral imagingPRISMAContext (language use)CollinearityHybrid retrievalDimensionality reductionImaging spectroscopyAtomic and Molecular Physics and OpticsComputer Science ApplicationsImaging spectroscopyCHIMEKrigingEnMAPCanopy nitrogen contentComputers in Earth SciencesEngineering (miscellaneous)Gaussian process regressionRemote sensingISPRS Journal of Photogrammetry and Remote Sensing
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Proton-neutron pairing correlations in the self-conjugate nucleus 42Sc

2021

Collinear laser spectroscopy of the N=Z=21 self-conjugate nucleus 42Sc has been performed at the JYFL IGISOL IV facility in order to determine the change in nuclear mean-square charge radius between the Iπ=0+ ground state and the Iπ=7+ isomer via the measurement of the 42g,42mSc isomer shift. New multi-configurational Dirac-Fock calculations for the atomic mass shift and field shift factors have enabled a recalibration of the charge radii of the 42−46Sc isotopes which were measured previously. While consistent with the treatment of proton-neutron, proton-proton and neutron-neutron pairing on an equal footing, the reduction in size for the isomer is observed to be of a significantly larger m…

CHARGE RADIINuclear and High Energy PhysicsProtonCollinear laser spectroscopyQC1-999spektroskopiaNuclear TheoryFOS: Physical sciencesAstronomy & Astrophysicsnucl-ex01 natural sciencesPhysics Particles & FieldsCharge radius0103 physical sciencesPhysics::Atomic and Molecular Clustersddc:530NeutronNuclear Physics - ExperimentNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentNuclear ExperimentPhysicsisotoopitScience & TechnologyIsotopeMagnetic moment010308 nuclear & particles physicsPhysicsProton-neutron pairingTABLEHyperfine structure and isotope shiftAtomic mass3. Good healthCharge radiusPhysics NuclearPairingPhysical SciencesSHELL-MODELAtomic physicsydinfysiikkaGround stateskandiumPhysics Letters B
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In silico prediction of central nervous system activity of compounds. Identification of potential pharmacophores by the TOPS–MODE approach

2004

The central nervous system (CNS) activity has been investigated by using a topological substructural molecular approach (TOPS-MODE). A discriminant analysis to classify CNS and non-CNS drugs was developed on a data set (302 compounds) of great structural variability where more than 81% (247/302) were well classified. Randic's orthogonalization procedures was carried out to allow the interpretation of the model and to avoid the collinearity among descriptors. The discriminant model was assessed by a leave-n-out (when n varies from 2 to 20) cross-validation procedure (79.94% of correct classification), an external prediction set composed by 78 CNS/non-CNS drugs (80.77% of correct classificati…

Central Nervous SystemMolecular modelChemistryStereochemistryIn silicoOrganic ChemistryClinical BiochemistryPharmaceutical ScienceCollinearityComputational biologyLinear discriminant analysisModels BiologicalBiochemistryCross-validationPolar surface areaStructure-Activity RelationshipPredictive Value of TestsDrug DiscoveryMolecular MedicinePharmacophoreMolecular BiologyOrthogonalizationCentral Nervous System AgentsBioorganic & Medicinal Chemistry
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Estimation of brain connectivity through Artificial Neural Networks

2019

Among different methods available for estimating brain connectivity from electroencephalographic signals (EEG), those based on MVAR models have proved to be flexible and accurate. They rely on the solution of linear equations that can be pursued through artificial neural networks (ANNs) used as MVAR model. However, when few data samples are available, there is a lack of accuracy in estimating MVAR parameters due to the collinearity between regressors. Moreover, the assessment procedure is also affected by the lack of data points. The mathematical solution to these problems is represented by penalized regression methods based on l 1 norm, that can reduce collinearity by means of variable sel…

Computer scienceFeature selection02 engineering and technologyConnectivity measurements03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringArtificial neural networkbusiness.industryProcess (computing)BrainPattern recognitionElectroencephalographyCollinearityCausalityData pointCausality; Connectivity measurements; Physiological systems modeling - Multivariate signal processingNorm (mathematics)Physiological systems modeling - Multivariate signal processingRegression Analysis020201 artificial intelligence & image processingAnalysis of varianceArtificial intelligenceNeural Networks ComputerbusinessAlgorithms Brain Electroencephalography Regression Analysis Neural Networks Computer030217 neurology & neurosurgeryLinear equationAlgorithms
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Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

2019

An unprecedented spectroscopic data stream will soon become available with forthcoming Earth-observing satellite missions equipped with imaging spectroradiometers. This data stream will open up a vast array of opportunities to quantify a diversity of biochemical and structural vegetation properties. The processing requirements for such large data streams require reliable retrieval techniques enabling the spatiotemporally explicit quantification of biophysical variables. With the aim of preparing for this new era of Earth observation, this review summarizes the state-of-the-art retrieval methods that have been applied in experimental imaging spectroscopy studies inferring all kinds of vegeta…

Data streamEarth observation010504 meteorology & atmospheric sciencesComputer scienceUT-Hybrid-D010502 geochemistry & geophysicscomputer.software_genreQuantitative Biology - Quantitative Methods01 natural sciencesArticleGeochemistry and PetrologyFOS: Electrical engineering electronic engineering information engineeringQuantitative Methods (q-bio.QM)0105 earth and related environmental sciencesParametric statisticsData stream miningImage and Video Processing (eess.IV)Electrical Engineering and Systems Science - Image and Video Processing15. Life on land22/4 OA procedureRegressionImaging spectroscopyGeophysicsSpectroradiometer13. Climate actionMulticollinearityFOS: Biological sciencesITC-ISI-JOURNAL-ARTICLEData miningcomputerSurveys in Geophysics
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Small-x, Diffraction and Vector Mesons

2015

This talk discusses recent progress in some topics relevant for deep inelastic scattering at small x. We discuss first differences and similarities between conventional collinear factorization and the dipole picture of deep inelastic scattering. Many of the recent theoretical advances at small x are related to taking calculations in the nonlinear saturation regime to next-to-leading order accuracy in the QCD coupling. On the experimental side significant recent progress has been made in exclusive and diffractive processes, in particular in ultraperipheral nucleus-nucleus collisions.

DiffractionParticle physicsMesonNuclear TheoryeducationFOS: Physical sciences114 Physical sciences01 natural sciencesNuclear Theory (nucl-th)next-to-leading order accuracycollinear factorizationHigh Energy Physics - Phenomenology (hep-ph)Factorizationdeep inelastic scattering0103 physical sciencesNonlinear saturation010306 general physicsCouplingQuantum chromodynamicsPhysicsultraperipheral collisionsdipole picture010308 nuclear & particles physicsDeep inelastic scatteringDipoleHigh Energy Physics - Phenomenologysmall x
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Matching factorization theorems with an inverse-error weighting

2018

We propose a new fast method to match factorization theorems applicable in different kinematical regions, such as the transverse-momentum-dependent and the collinear factorization theorems in Quantum Chromodynamics. At variance with well-known approaches relying on their simple addition and subsequent subtraction of double-counted contributions, ours simply builds on their weighting using the theory uncertainties deduced from the factorization theorems themselves. This allows us to estimate the unknown complete matched cross section from an inverse-error-weighted average. The method is simple and provides an evaluation of the theoretical uncertainty of the matched cross section associated w…

Drell-Yan processNuclear and High Energy PhysicsFOS: Physical sciencesInversegauge boson: hadroproduction01 natural sciencestransverse momentum: momentum spectrumCross section (physics)High Energy Physics - Phenomenology (hep-ph)FactorizationfactorizationSimple (abstract algebra)0103 physical sciencesquantum chromodynamicsApplied mathematics010306 general physicshadron hadron: interactionBosonQuantum chromodynamicsPhysics010308 nuclear & particles physicsmatchingdeep-inelastic processesfactorization: collinearHigh Energy Physics::Phenomenologyfactorization; Quantum Chromodynamics; matching; power corrections; deep-inelastic processesDrell–Yan processlcsh:QC1-999WeightingHigh Energy Physics - Phenomenologykinematics[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]transverse momentum: factorization[ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]power correctionslcsh:Physics
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