Search results for "Linear array"

showing 9 items of 9 documents

Ultrasonographic Measurements of the Achilles Tendon in Elderly Athletes and Sedentary Men

1994

Ultrasonography was performed on the Achilles tendon of the dominant limb of 18 male elderly athletes and 11 sedentary men, aged 70 to 80 years. The tendons were examined with a real-time linear array scanner using a 7.5 MHz transducer. Both longitudinal and transverse images were taken. The mean width of the Achilles tendon was significantly larger in the athletes than in the control subjects. The tendon thickness and cross-sectional area did not differ significantly between the groups, but the figures may indicate a tendency for larger cross-sectional area in the athletes. The results suggest tendon hypertrophy following long-term training.

030222 orthopedicsmedicine.medical_specialtyAchilles tendonRadiological and Ultrasound TechnologyTendo Calcaneusbiologybusiness.industryAthletes030229 sport sciencesGeneral Medicinemusculoskeletal systemControl subjectsbiology.organism_classificationTendonMuscle hypertrophyLinear array03 medical and health sciences0302 clinical medicinemedicine.anatomical_structuremedicinePhysical therapyRadiology Nuclear Medicine and imagingUltrasonographybusinessActa Radiologica
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Upper and lower generalized factoraggregations based on fuzzy equivalence relation

2014

We develop the concept of a general factoraggre-gation operator introduced by the authors on the basis of an equivalence relation and applied in two recent papers for analysis of bilevel linear programming solving parameters. In the paper this concept is generalized by using a fuzzy equivalence relation instead of the crisp one. By using a left-continuous t-norm and its residuum we define and investigate two modifications of such generalized construction: upper and lower generalized factoraggregations. These generalized factoraggregations can be used for construction of extensional fuzzy sets.

AlgebraDiscrete mathematicsFuzzy classificationFuzzy setEquivalence relationFuzzy numberGeneralized linear array modelFuzzy set operationsFuzzy subalgebraDefuzzificationMathematics2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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A Widrow–Hoff Learning Rule for a Generalization of the Linear Auto-associator

1996

Abstract A generalization of the linear auto-associator that allows for differential importance and nonindependence of both the stimuli and the units has been described previously by Abdi (1988). This model was shown to implement the general linear model of multivariate statistics. In this note, a proof is given that the Widrow–Hoff learning rule can be similarly generalized and that the weight matrix will converge to a generalized pseudo-inverse when the learning parameter is properly chosen. The value of the learning parameter is shown to be dependent only upon the (generalized) eigenvalues of the weight matrix and not upon the eigenvectors themselves. This proof provides a unified framew…

General linear modelArtificial neural networkbusiness.industryGeneralizationApplied MathematicsGeneralized linear array modelMachine learningcomputer.software_genreGeneralized linear mixed modelHierarchical generalized linear modelLearning ruleApplied mathematicsArtificial intelligencebusinesscomputerGeneral PsychologyEigenvalues and eigenvectorsMathematicsJournal of Mathematical Psychology
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Using the dglars Package to Estimate a Sparse Generalized Linear Model

2015

dglars is a publicly available R package that implements the method proposed in Augugliaro et al. (J. R. Statist. Soc. B 75(3), 471-498, 2013) developed to study the sparse structure of a generalized linear model (GLM). This method, called dgLARS, is based on a differential geometrical extension of the least angle regression method. The core of the dglars package consists of two algorithms implemented in Fortran 90 to efficiently compute the solution curve. dglars is a publicly available R package that implements the method proposed in Augugliaro et al. (J. R. Statist. Soc. B 75(3), 471-498, 2013) developed to study the sparse structure of a generalized linear model (GLM). This method, call…

Generalized linear modelFortranLeast-angle regressionGeneralized linear array modelFeature selectionSparse approximationdgLARS generalized linear models sparse models variable selectionGeneralized linear mixed modelSettore SECS-S/01 - StatisticacomputerGeneralized estimating equationAlgorithmMathematicscomputer.programming_language
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SYSTOLIC GENERATION OF k-ARY TREES

1999

The only parallel generating algorithms for k-ary trees are those of Akl and Stojmenović in 1996 and of Vajnovszki and Phillips in 1997. In the first of them, trees are represented by an inversion table and the processor model is a linear aray multicomputer. In the second, trees are represented by bitstrings and the algorithm executes on a shared memory multiprocessor. In this paper we give a parallel generating algorithm for k-ary trees represented by generalized P–sequences for execution on a linear array multicomputer.

Hardware and ArchitectureShared memory multiprocessorProcessor modelWeight-balanced treeParallel algorithmParallel computingInversion tableSoftwareTheoretical Computer ScienceLinear arrayMathematicsVector processorParallel Processing Letters
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Human papillomavirus genotype attribution in invasive cervical cancer: a retrospective cross-sectional worldwide study.

2010

Summary Background Knowledge about the distribution of human papillomavirus (HPV) genotypes in invasive cervical cancer is crucial to guide the introduction of prophylactic vaccines. We aimed to provide novel and comprehensive data about the worldwide genotype distribution in patients with invasive cervical cancer. Methods Paraffin-embedded samples of histologically confirmed cases of invasive cervical cancer were collected from 38 countries in Europe, North America, central South America, Africa, Asia, and Oceania. Inclusion criteria were a pathological confirmation of a primary invasive cervical cancer of epithelial origin in the tissue sample selected for analysis of HPV DNA, and informa…

OncologyInternational CooperationUterine Cervical NeoplasmsPolymerase Chain ReactionHuman papillomaviruses ; cervical cancer0302 clinical medicineGenotypeMass ScreeningYoung adult10. No inequalityPapillomaviridaeCervical cancerAged 80 and over0303 health sciencesParaffin Embeddingmedicine.diagnostic_testAge FactorsMiddle Aged3. Good healthOncology030220 oncology & carcinogenesisCarcinoma Squamous CellFemaleAdultmedicine.medical_specialtyAdolescentGenotypeHPV vaccinesAdenocarcinoma03 medical and health sciencesCarcinoma AdenosquamousYoung AdultInternal medicinemedicineHumansNeoplasm InvasivenessGenetic TestingPapillomavirus VaccinesGenotyping030304 developmental biologyGenetic testingAgedRetrospective StudiesGynecologybusiness.industryPapillomavirus InfectionsBasic Medical Sciencesmedicine.diseaseCross-Sectional StudiesLogistic ModelsBIOMEDICINE AND HEALTHCAREDNA ViralLinear Array HPV Genotyping TestLinear ModelsCervarixbusinessThe Lancet. Oncology
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Effect of the electromagnetic environment on arrays of small normal metal tunnel junctions: Numerical and experimental investigation

2000

We present results of a set of experiments to investigate the effect of dissipative external electromagnetic environment on tunneling in linear arrays of junctions in the weak tunneling regime. The influence of this resistance decreases as the number of junctions in the chain increases and ultimately becomes negligible. Further, there is a value of external impedance, typically \~5 k$\Omega$, at which the half-width of the zero-voltage dip in the conductance curve shows a maximum. Some new analytical formulae, based on the phase-correlation theory, along with numerical results will be presented.

PhysicsCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsElectromagnetic environmentGeneral Physics and AstronomyConductanceFOS: Physical sciencesCondensed Matter::Mesoscopic Systems and Quantum Hall EffectMetalvisual_artLinear arraysCondensed Matter::SuperconductivityMesoscale and Nanoscale Physics (cond-mat.mes-hall)visual_art.visual_art_mediumDissipative systemElectrical impedanceQuantum tunnelling
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A differential-geometric approach to generalized linear models with grouped predictors

2016

We propose an extension of the differential-geometric least angle regression method to perform sparse group inference in a generalized linear model. An efficient algorithm is proposed to compute the solution curve. The proposed group differential-geometric least angle regression method has important properties that distinguish it from the group lasso. First, its solution curve is based on the invariance properties of a generalized linear model. Second, it adds groups of variables based on a group equiangularity condition, which is shown to be related to score statistics. An adaptive version, which includes weights based on the Kullback-Leibler divergence, improves its variable selection fea…

Statistics and ProbabilityGeneralized linear modelStatistics::TheoryMathematical optimizationProper linear modelGeneral MathematicsORACLE PROPERTIESGeneralized linear modelSPARSITYGeneralized linear array model01 natural sciencesGeneralized linear mixed modelCONSISTENCY010104 statistics & probabilityScore statistic.LEAST ANGLE REGRESSIONLinear regressionESTIMATORApplied mathematicsDifferential geometry0101 mathematicsDivergence (statistics)MathematicsVariance functionDifferential-geometric least angle regressionPATH ALGORITHMApplied MathematicsLeast-angle regressionScore statistic010102 general mathematicsAgricultural and Biological Sciences (miscellaneous)Group lassoGROUP SELECTIONStatistics Probability and UncertaintyGeneral Agricultural and Biological SciencesSettore SECS-S/01 - Statistica
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Synthesis of a Linear Assembly Consisting of a Central Ru(Phen)32+ Derivative and Two Peripheral Porphyrins

2002

A ruthenium(II) precursor complex containing a bis-phenanthroline ligand, leading to a controlled helical structure around the metal centre, and a third phenanthroline-type ligand has been prepared. The spatial arrangement of the system is such that two chemical groups are disposed trans to one another on an axis running through the Ru centre. By appropriate functional group transformation, these two groups can be attached to monosubstituted zinc(II) porphyrins (PZn) to afford a linear array consisting of a central ruthenium(II) complex and two peripheral PZn motifs. (© Wiley-VCH Verlag GmbH, 69451 Weinheim, Germany, 2002)

StereochemistryLigandOrganic Chemistrychemistry.chemical_elementZincLinear arrayRutheniumMetalchemistry.chemical_compoundCrystallographychemistryvisual_artFunctional groupChemical groupsvisual_art.visual_art_mediumPhysical and Theoretical ChemistryDerivative (chemistry)European Journal of Organic Chemistry
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