Search results for "A2"

showing 10 items of 1101 documents

CCDC 751052: Experimental Crystal Structure Determination

2010

Related Article: J.Vicente, I.Saura-Llamas, J.Turpin, D.Bautista, C.R.de Arellano, P.G.Jones|2009|Organometallics|28|4175|doi:10.1021/om9002895

Space GroupCrystallographyCrystal SystemCrystal StructureCell Parameters(eta2-1-(2-(2-Amino-2-methylpropyl)phenyl)-1-(12345-pentamethylcyclopenta-24-dien-1-yl)ethyl)-(aqua)-palladium(ii) trifluoromethanesulfonateExperimental 3D Coordinates
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CCDC 1469852: Experimental Crystal Structure Determination

2016

Related Article: Yu Wang, Xian-Kai Wan, Liting Ren, Haifeng Su, Gang Li, Sami Malola, Shuichao Lin, Zichao Tang, Hannu Häkkinen, Boon K Teo, Quan-Ming Wang, and Nanfeng Zheng|2016|J.Am.Chem.Soc.|138|3278|doi:10.1021/jacs.5b12730

Space GroupCrystallographyCrystal SystemCrystal StructureCell Parameterspentakis(mu3-eta2-Phenylethynyl)-dodecakis(mu3-phenylethynyl)-heptadecakis(mu2-eta2-phenylethynyl)-tetratriaconta-gold-octacosa-silver toluene unknown solvateExperimental 3D Coordinates
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ICA of full complex-valued fMRI data using phase information of spatial maps.

2015

Background ICA of complex-valued fMRI data is challenging because of the ambiguous and noisy nature of the phase. A typical solution is to remove noisy regions from fMRI data prior to ICA. However, it may be more optimal to carry out ICA of full complex-valued fMRI data, since any filtering or voxel-based processing may disrupt information that can be useful to ICA. New method We enable ICA of the full complex-valued fMRI data by utilizing phase information of estimated spatial maps (SMs). The SM phases are first adjusted to properly represent spatial phase changes of all voxels based on estimated time courses (TCs), and then these are used to segment the voxels into BOLD-related and unwant…

Spatial map phaseAdultComputer scienceIndependent component analysis (ICA)Neuroscience(all)computer.software_genreta3112030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineRobustness (computer science)VoxelImage Processing Computer-AssistedHumansComputer visionInfomaxPhase de-ambiguityta217ta113business.industryGeneral NeuroscienceComplex valuedBrainPattern recognitionMaximizationPhase positioningMagnetic Resonance ImagingComplex-valued fMRI dataPhase maskingSpatial mapsArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryPsychomotor PerformanceJournal of neuroscience methods
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Lehrbuchserien im Vergleich : Mündliche Übungen in einer deutschsprachigen und einer schwedischsprachigen Lehrbuchserie auf dem Niveau A2

2015

Tämä työn tarkoituksena oli selvittää, miten Eurooppalaisen viitekehyksen sekä käytössä olevan opetussuunnitelman asettamat suullisen kielitaidon tavoitteet ja vaatimukset täyttyvät kahdessa vieraankielen A2-oppimäärän kirjasarjassa. Tutkimuksen kohteeksi valikoitui vuonna 2014 julkaistut kaksi saman kustantajan kirjasarjaa – saksankielinen Mega ja ruotsinkielinen Skoj. Tutkin nimenomaan suullisia tehtäviä, jonka vuoksi keskityin vain kirjasarjojen tehtäväkirjoihin. Eurooppalainen viitekehys asettaa Euroopan laajuisesti perustan opetussuunnitelmien, kokeiden ja opetusmateriaalien suunnittelulle. Suomalainen opetussuunnitelma on siis tiiviisti kosketuksissa viitekehyksen kanssa, jonka tavoit…

Sprachkompetenzoppiminenfrühe Spracherlernungruotsin kielisuullinen kielitaitooppikirjatsaksan kielikielitaitoLehrwerkemündliche ÜbungenLehrmaterialvergleichMündlichkeit im FremdsprachelernenA2-Niveau
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Stable expression in HEK-293 cells of the rat alpha3/beta4 subtype of neuronal nicotinic acetylcholine receptor.

1996

The alpha3/beta4 subtype of neuronal nicotinic acetylcholine receptor (nAChR) was stably expressed in human embryonic kidney (HEK) 293 cells that co-expressed a voltage-gated Ca2+ channel. alpha3/beta4-nAChR-expressing clones were identified using the fura-2 Ca2+ imaging technique, and were further characterised by single-cell and whole-cell patch-clamp studies. Acetylcholine (ACh) induced fast activating currents which showed desensitisation and inward rectification. The conductance of the ACh-activated channel was 29 pS. The order of potency of the nicotinic agonists tested was cytisine approximately = nicotine > acetylcholine. The EC50 value for ACh was 145 microM; the Hill coefficient w…

Stable expressionPatch-Clamp Techniquesα3/β4 nAChRBiophysicsNicotinic AntagonistsPharmacologyReceptors NicotinicTransfectionBiochemistryCell LineGanglionic nAChRCa2+ imagingGanglion type nicotinic receptorStructural BiologyMuscarinic acetylcholine receptorGeneticsmedicineAnimalsHumansNicotinic AgonistsNicotinic AntagonistHEK cellMolecular BiologyNeuronsurogenital systemChemistryMuscarinic acetylcholine receptor M3Cell BiologyAcetylcholineRecombinant ProteinsRatsNicotinic acetylcholine receptorNicotinic agonistCalciumCalcium ChannelsAlpha-4 beta-2 nicotinic receptorAcetylcholinemedicine.drugFEBS letters
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Selective killing of human monocytes and cytokine release provoked by sphingomyelinase (beta-toxin) of Staphylococcus aureus.

1996

The best-known activity of Staphylococcus aureus sphingomyelinase C, alias beta-toxin, is as a hemolysin that provokes hot-cold lysis of erythrocytes which contain substantial amounts of sphingomyelin in the plasma membrane. Sheep erythrocytes are most susceptible, and we found that one hemolytic unit, representing the toxin concentration that elicits 50% hemolysis of 2.5 X 10(8) erythrocytes per ml, corresponds to 0.05 enzyme units or to approximately 0.25 microg of sphingomyelinase per ml. The cytotoxic action of beta-toxin on nucleated cells has not been described in any detail before, and the present investigation was undertaken to fill this information gap. We now identify beta-toxin a…

Staphylococcus aureusTime FactorsLipopolysaccharideCD14ImmunologyBacterial ToxinsLipopolysaccharide ReceptorsExotoxinsMicrobiologyMonocytesMicrobiologychemistry.chemical_compoundHemolysin ProteinsPhospholipase A2Antigens CDmedicineHumansbiologyCell DeathDose-Response Relationship DrugCytotoxinsMonocyteHemolysinReceptors Interleukinmedicine.diseaseReceptors Interleukin-6HemolysisInfectious Diseasesmedicine.anatomical_structureSphingomyelin PhosphodiesteraseMechanism of actionchemistrybiology.proteinCytokinesParasitologymedicine.symptomSphingomyelinResearch ArticleInterleukin-1
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Time-dependent weak rate of convergence for functions of generalized bounded variation

2016

Let $W$ denote the Brownian motion. For any exponentially bounded Borel function $g$ the function $u$ defined by $u(t,x)= \mathbb{E}[g(x{+}\sigma W_{T-t})]$ is the stochastic solution of the backward heat equation with terminal condition $g$. Let $u^n(t,x)$ denote the corresponding approximation generated by a simple symmetric random walk with time steps $2T/n$ and space steps $\pm \sigma \sqrt{T/n}$ where $\sigma > 0$. For quite irregular terminal conditions $g$ (bounded variation on compact intervals, locally H\"older continuous) the rate of convergence of $u^n(t,x)$ to $u(t,x)$ is considered, and also the behavior of the error $u^n(t,x)-u(t,x)$ as $t$ tends to $T$

Statistics and ProbabilityApproximation using simple random walkweak rate of convergence01 natural sciencesStochastic solution41A25 65M15 (Primary) 35K05 60G50 (Secondary)010104 statistics & probabilityExponential growthFOS: Mathematics0101 mathematicsBrownian motionstokastiset prosessitMathematicsosittaisdifferentiaaliyhtälötApplied MathematicsProbability (math.PR)010102 general mathematicsMathematical analysisfinite difference approximation of the heat equationFunction (mathematics)Rate of convergenceBounded functionBounded variationnumeerinen analyysiapproksimointiStatistics Probability and UncertaintyMathematics - ProbabilityStochastic Analysis and Applications
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On Independent Component Analysis with Stochastic Volatility Models

2017

Consider a multivariate time series where each component series is assumed to be a linear mixture of latent mutually independent stationary time series. Classical independent component analysis (ICA) tools, such as fastICA, are often used to extract latent series, but they don't utilize any information on temporal dependence. Also financial time series often have periods of low and high volatility. In such settings second order source separation methods, such as SOBI, fail. We review here some classical methods used for time series with stochastic volatility, and suggest modifications of them by proposing a family of vSOBI estimators. These estimators use different nonlinearity functions to…

Statistics and ProbabilityAutoregressive conditional heteroskedasticity01 natural sciencesQA273-280GARCH model010104 statistics & probabilityblind source separation0502 economics and businessSource separationEconometricsApplied mathematics0101 mathematics050205 econometrics MathematicsStochastic volatilitymultivariate time seriesApplied MathematicsStatistics05 social sciencesAutocorrelationEstimatorIndependent component analysisHA1-4737nonlinear autocorrelationFastICAStatistics Probability and UncertaintyVolatility (finance)Probabilities. Mathematical statistics
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Robust dynamic cooperative games

2009

Classical cooperative game theory is no longer a suitable tool for those situations where the values of coalitions are not known with certainty. Recent works address situations where the values of coalitions are modelled by random variables. In this work we still consider the values of coalitions as uncertain, but model them as unknown but bounded disturbances. We do not focus on solving a specific game, but rather consider a family of games described by a polyhedron: each point in the polyhedron is a vector of coalitions’ values and corresponds to a specific game. We consider a dynamic context where while we know with certainty the average value of each coalition on the long run, at each t…

Statistics and ProbabilityBondareva–Shapley theoremEconomics and EconometricsNon-cooperative gameComputer Science::Computer Science and Game TheoryMSC-91A12Sequential gameMSC-91A25Computer scienceCooperative games Dynamic games Joint replenishmentCombinatorial game theoryTheoryofComputation_GENERALCooperative game theoryMETIS-263773Computer Science::Multiagent SystemsMathematics (miscellaneous)Example of a game without a valueEWI-15215Repeated gameIR-62781Simultaneous gameStatistics Probability and UncertaintyMathematical economicsSocial Sciences (miscellaneous)International journal of game theory
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The Raising Factor, That Great Unknown. A Guided Activity for Undergraduate Students

2020

In the first years of their economics degree programs, students will face many problems successfully dealing with a range of subjects with quantitative content. Specifically, in the field of statistics, difficulties to reach some basic academic achievements have been observed. Hence, a continuing challenge for statistics teachers is how to make this subject more appealing for students through the design and implementation of new teaching methodologies. The latter tend to follow two main approaches. On the one hand, it is useful for the learning process to propose practical activities that can connect theoretical concepts with real applications in the economic context. On the other hand, we …

Statistics and ProbabilityEconomics educationFace (sociological concept)Economia01 natural sciencesstatistical literacy010104 statistics & probabilityapplications and case studiesComputer softwareMathematics education0101 mathematicsStatistics educationMathematics instructioneducationlcsh:LC8-6691lcsh:Special aspects of education05 social sciences050301 educationexploratory data analysiseconomicsRaising (linguistics)Active learningStatistics Probability and Uncertaintylcsh:Probabilities. Mathematical statisticsPsychologylcsh:QA273-2800503 education
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