Search results for "Complex."

showing 10 items of 5824 documents

Kif3a interacts with Dynactin subunit p150 Glued to organize centriole subdistal appendages.

2013

Formation of cilia, microtubule-based structures that function in propulsion and sensation, requires Kif3a, a subunit of Kinesin II essential for intraflagellar transport (IFT). We have found that, Kif3a is also required to organize centrioles. In the absence of Kif3a, the subdistal appendages of centrioles are disorganized and lack p150(Glued) and Ninein. Consequently, microtubule anchoring, centriole cohesion and basal foot formation are abrogated by loss of Kif3a. Kif3a localizes to the mother centriole and interacts with the Dynactin subunit p150(Glued) . Depletion of p150(Glued) phenocopies the effects of loss of Kif3a, indicating that Kif3a recruitment of p150(Glued) is critical for s…

CentrioleKnockoutKinesinsBiologycentriole cohesionKif3aMedical and Health SciencesArticleGeneral Biochemistry Genetics and Molecular BiologyMiceMicrotubuleIntraflagellar transportInformation and Computing SciencesAnimalsHumansKIF3AMicrotubule anchoringMolecular BiologyCentriolesMice KnockoutGeneral Immunology and MicrobiologyGeneral NeuroscienceCiliumTumor Suppressor ProteinsNuclear ProteinsKinesinDynactin ComplexBiological SciencesCell biologyCytoskeletal ProteinscentrosomeCentrosomeHela CellsDynactinGeneric health relevanceMicrotubule-Associated Proteinsp150(Glued)HeLa Cellssubdistal appendageDevelopmental Biology
researchProduct

Analysis of neuronal networks in the visual system of the cat using statistical signals--simple and complex cells. Part II.

1978

Superimposing additively a two-dimensional noise process to deterministic input signals (bars) the neurons of area 17 show a class-specific reaction for the task of signal extraction. Moving both parts of the signals simultaneously and varying the signal to noise ratio (S/N) the simple cells achieve the same performance as resulted from the psychophysical experiment. Type I complex cells extract moving deterministic signals (i.e. bars) from the stationary noise, whereas in the answers of Type II complex cells the statistical parts of the signals predominate. Considering the different cell types each as a series of a linear and a nonlinear system one obtains the cell specific space-time freq…

Cerebral CortexNeuronsGeneral Computer ScienceSeries (mathematics)Noise (signal processing)Computer scienceSpeech recognitionModels NeurologicalStatistics as TopicProcess (computing)Complex systemElectrophysiologyForm PerceptionNonlinear systemAmplitudeSignal-to-noise ratioPattern Recognition VisualSimple (abstract algebra)CatsAnimalsVisual PathwaysBiological systemMathematicsBiotechnologyBiological cybernetics
researchProduct

Further monotonicity and convexity properties of the zeros of cylinder functions

1992

AbstractLet cvk be the kth positive zero of the cylinder function Cv(x,α)=Jv(x) cos α−Yv sin α, 0⩽α<π, where Jv(x) and Yv(x) are the Bessel functions of the first and the second kind, respectively. We prove that the function v(d2cvkddv2+δ)cvk increases with v⩾0 for suitable values of δ and k−απ⩾ 0.7070… . From this result under the same conditions we deduce, among other things, that cvk+12δv2 is convex as a function of v⩾0. Moreover, we show some monotonicity properties of the function c2vkv. Our results improve known results.

CerobiologyApplied MathematicsMathematical analysisRegular polygonZero (complex analysis)Monotonic functionFunction (mathematics)biology.organism_classificationConvexityCombinatoricsComputational Mathematicssymbols.namesakeZeros of Bessel functionssymbolsConvex functionBessel functionMathematicsJournal of Computational and Applied Mathematics
researchProduct

Inclusion complexes of Cethyl-2-methylresorcinarene and pyridine N-oxides: breaking the C–I⋯−O–N+ halogen bond by host–guest complexation

2016

C ethyl-2-Methylresorcinarene forms host–guest complexes with aromatic N-oxides through multiple intra- and intermolecular hydrogen bonds and C–H⋯π interactions. The host shows conformational flexibility to accommodate 3-methylpyridine N-oxide, while retaining a crown conformation for 2-methyl- and 4-methoxypyridine N-oxides highlighting the substituent effect of the guest. N-Methylmorpholine N-oxide, a 6-membered ring aliphatic N-oxide with a methyl at the N-oxide nitrogen, is bound by the equatorial −N–CH3 group located deep in the cavity. 2-Iodopyridine N-oxide is the only guest that manifests intermolecular N–O⋯I–C halogen bond interactions, which are broken down by the host resulting i…

Cethyl-2-methylresorcinarenekemialliset sidoksethost–guest complexationsupramolekulaarinen kemiahalogen bondmacromolecular substanceshalogeenisidospyridine N-oxides
researchProduct

Anomaly detection in dynamic systems using weak estimators

2011

Accepted version of an article from the journal: ACM transactions on internet technology. Published version available from the ACM: http://dx.doi.org/10.1145/1993083.1993086 Anomaly detection involves identifying observations that deviate from the normal behavior of a system. One of the ways to achieve this is by identifying the phenomena that characterize “normal” observations. Subsequently, based on the characteristics of data learned from the “normal” observations, new observations are classified as being either “normal” or not. Most state-of-the-art approaches, especially those which belong to the family of parameterized statistical schemes, work under the assumption that the underlying…

Change over timeVDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413education.field_of_studyComputer Networks and CommunicationsComputer sciencePopulationEstimatorParameterized complexityVDP::Technology: 500::Information and communication technology: 550Network monitoringcomputer.software_genreOutlierAnomaly detectionData miningeducationcomputer
researchProduct

Symbolic control for underactuated differentially flat systems

2006

In this paper we address the problem of generating input plans to steer complex dynamical systems in an obstacle-free environment. Plans considered admit a finite description length and are constructed by words on an alphabet of input symbols, which could be e.g. transmitted through a limited capacity channel to a remote system, where they can be decoded in suitable control actions. We show that, by suitable choice of the control encoding, finite plans can be efficiently built for a wide class of dynamical systems, computing arbitrarily close approximations of a desired equilibrium in polynomial time. Moreover, we illustrate by simulations the power of the proposed method, solving the steer…

Channel capacityNonlinear systemCapacity planningSettore ING-INF/04 - AutomaticaDynamical systems theoryControl theoryUnderactuationControl systemdynamic systemSymbolic controlMotion controlTime complexityMathematicsProceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
researchProduct

Analysis of neuronal networks in the visual system of the cat using statistical signals

1976

If the input signals of the visual system in the cat are statistical patterns in space and time, a complete system analysis can be carried out. What counts here as a system are the neuronal networks between retina and recording site. In the case of linearity, one obtains the temporal impulse response functions at every point in the receptive field with the aid of correlation methods. The measuring time is about one minute. Some aspects of the procedure are explained in terms of examples. The method of measurement also makes it possible to determine the characteristic function of the system in time and space between different recording sites within the cortex. It is possible to specialize th…

Characteristic function (convex analysis)Systems AnalysisGeneral Computer ScienceModels NeurologicalStatistics as TopicComplex systemLinearityNonlinear systemSimple (abstract algebra)Receptive fieldCatsElectronic engineeringAnimalsVisual PathwaysPoint (geometry)AlgorithmImpulse responseBiotechnologyMathematicsBiological Cybernetics
researchProduct

On the use of fractional calculus for the probabilistic characterization of random variables

2009

In this paper, the classical problem of the probabilistic characterization of a random variable is re-examined. A random variable is usually described by the probability density function (PDF) or by its Fourier transform, namely the characteristic function (CF). The CF can be further expressed by a Taylor series involving the moments of the random variable. However, in some circumstances, the moments do not exist and the Taylor expansion of the CF is useless. This happens for example in the case of $\alpha$--stable random variables. Here, the problem of representing the CF or the PDF of random variables (r.vs) is examined by introducing fractional calculus. Two very remarkable results are o…

Characteristic function (probability theory)FOS: Physical sciencesAerospace EngineeringMathematics - Statistics TheoryOcean EngineeringProbability density functionComplex order momentStatistics Theory (math.ST)Fractional calculusymbols.namesakeIngenieurwissenschaftenFOS: MathematicsTaylor seriesApplied mathematicsCharacteristic function serieMathematical PhysicsCivil and Structural EngineeringMathematicsGeneralized Taylor serieMechanical EngineeringStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Condensed Matter PhysicsFractional calculusFourier transformNuclear Energy and EngineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsFractional calculus; Generalized Taylor series; Complex order moments; Fractional moments; Characteristic function series; Probability density function seriesddc:620Series expansionFractional momentProbability density function seriesSettore ICAR/08 - Scienza Delle CostruzioniRandom variableData Analysis Statistics and Probability (physics.data-an)
researchProduct

Uniformization with infinitesimally metric measures

2019

We consider extensions of quasiconformal maps and the uniformization theorem to the setting of metric spaces $X$ homeomorphic to $\mathbb R^2$. Given a measure $\mu$ on such a space, we introduce $\mu$-quasiconformal maps $f:X \to \mathbb R^2$, whose definition involves deforming lengths of curves by $\mu$. We show that if $\mu$ is an infinitesimally metric measure, i.e., it satisfies an infinitesimal version of the metric doubling measure condition of David and Semmes, then such a $\mu$-quasiconformal map exists. We apply this result to give a characterization of the metric spaces admitting an infinitesimally quasisymmetric parametrization.

Characterization (mathematics)Space (mathematics)conformal modulus01 natural sciencesMeasure (mathematics)funktioteoriaCombinatoricsMathematics - Metric Geometry0103 physical sciencesFOS: Mathematics0101 mathematicsComplex Variables (math.CV)MathematicsMathematics - Complex VariablesMathematics::Complex Variables010102 general mathematicsquasiconformal mappingMetric Geometry (math.MG)metriset avaruudetmetric doubling measureMetric spaceDifferential geometryUniformization theoremMetric (mathematics)quasisymmetric mapping30L10 (Primary) 30C65 28A75 51F99 (Secondary)mittateoria010307 mathematical physicsGeometry and TopologyUniformization (set theory)
researchProduct

World Influence of Infectious Diseases from Wikipedia Network Analysis

2019

AbstractWe consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS and Malaria. From the reduced Google matrix we determine the sensitivity of world countries to specific diseases integrat…

CheiRankComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_cause01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]law.invention03 medical and health sciencesPageRanklaw0103 physical sciencesGlobal networkmedicine010306 general physics030304 developmental biology0303 health sciencesInformation retrievalGoogle matrixMarkov processes[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]complex networksdata mining[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ranking (statistics)3. Good healthInfectious diseaseslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971Network analysisWikipedia
researchProduct