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Data Corresponding (data + corresponding)
Selected AbstractsPsychosocial Interventions for School Refusal Behavior in Children and AdolescentsCHILD DEVELOPMENT PERSPECTIVES, Issue 1 2009Armando A. Pina ABSTRACT,This article reviews empirical evidence for the efficacy of psychosocial interventions for school refusal behavior. Data corresponding to 8 experimental single-case and 7 group-design studies are presented. Across studies, behavioral and cognitive-behavioral treatments emerged as promising lines of intervention. These interventions produced improvements in school attendance and youths' symptom levels (e.g., anxiety, fear, depression, anger) based on this study's examination of effect sizes. The article concludes with suggestions for interventionists, researchers, and policy makers attempting to deal with the problem of school refusal. [source] Acute-to-chronic species sensitivity distribution extrapolationENVIRONMENTAL TOXICOLOGY & CHEMISTRY, Issue 7 2004Cédric Duboudin Abstract Seeking to make greater use of available data for risk assessment of substances, we constructed, for the situation in which chronic data are limited or even nonexistent but acute data are relatively large, an acute to chronic transformation (ACT) methodology based on the concept of species sensitivity distributions (SSDs). This ACT methodology uses a comparison of acute and chronic SSDs, separately for vertebrate data (with 22 substances) and for invertebrate data (with 15 substances). Rather than comparing an acute toxicity value with a chronic value, as when calculating an acute to chronic ratio (ACR), samples of acute and chronic data corresponding to the same category of species were compared. Starting from a sample of acute data, the ACT methodology showed relationships that enable the creation of a sample of predicted chronic values. This sample can then be used to calculate a predicted chronic hazardous concentration potentially affecting 5% of species (HC5%), just as with a sample of real chronic toxicity values. This ACT approach was tested on 11 substances. For each substance, the real chronic HC5% and the predicted chronic HC5% were calculated and compared. The ratio between chronic HC5% and ACT HC5% was, on average, 1.6 and did not exceed 4.4 for the 11 substances studied. [source] A posteriori error estimation of approximate boundary fluxesINTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, Issue 6 2008T. Wildey Abstract This paper describes the a posteriori estimation of the error in the flux of a finite element approximation on a piece of the boundary of the domain. The estimate is obtained via a generalized Green's function corresponding to the quantity of interest on the boundary. We investigate the effects of smoothing the data corresponding to the quantity of interest and explore the effective domain of dependence of the quantity. We relate this approach to previous work by M. F. Wheeler, G. F. Carey, I. Babuska et al., and M. Larson et al. Copyright © 2007 John Wiley & Sons, Ltd. [source] Cyclical long-range dependence and the warming effect in a long temperature time seriesINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 11 2008L. A. Gil-Alana Abstract In this paper, we propose a new approach for modelling a long temperature time series, using fractional cyclical integration. This model is based on the observation that the estimated spectrum of the series (the average annual temperature in Central England, 1659,2001) has its highest value at a frequency which is not zero, thus suggesting the existence of cycles at other frequencies. The results based on a fractional cyclical model show that there is a significant warming effect throughout the sample of about 0.22 °C/century. However, if we concentrate exclusively on the data corresponding to the 20th century that value increases to 0.64%. Moreover, the results in the paper show that a fractionally cyclically integrated model can be a competing alternative to other approaches based on fractional integration at the zero frequency. Copyright © 2007 Royal Meteorological Society [source] Bayesian conformational analysis of ring molecules through reversible jump MCMCJOURNAL OF CHEMOMETRICS, Issue 8 2005Kim Nolsře Abstract In this paper, we address the problem of classifying the conformations of m -membered rings using experimental observations obtained by crystal structure analysis. We formulate a model for the data generation mechanism that consists in a multidimensional mixture model. We perform inference for the proportions and the components in a Bayesian framework, implementing a Markov chain Monte Carlo (MCMC) reversible jump algorithm to obtain samples of the posterior distributions. The method is illustrated on a simulated data set and on real data corresponding to cyclo-octane structures. Copyright © 2005 John Wiley & Sons, Ltd. [source] AN EVALUATION OF THE AVAILABLE TECHNIQUES FOR ESTIMATING MISSING FECAL COLIFORM DATA,JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, Issue 6 2004Ashu Jain ABSTRACT: This paper presents the findings of a study aimed at evaluating the available techniques for estimating missing fecal coliform (FC) data on a temporal basis. The techniques investigated include: linear and nonlinear regression analysis and interpolation functions, and the use of artificial neural networks (ANNs). In all, seven interpolation, two regression, and one ANN model structures were investigated. This paper also investigates the validity of a hypothesis that estimating missing FC data by developing different models using different data corresponding to different dynamics associated with different trends in the FC data may result in a better model performance. The FC data (counts/100 ml) derived from the North Fork of the Kentucky River in Kentucky were employed to calibrate and validate various models. The performance of various models was evaluated using a wide variety of standard statistical measures. The results obtained in this study are able to demonstrate that the ANNs can be preferred over the conventional techniques in estimating missing FC data in a watershed. The regression technique was not found suitable in estimating missing FC data on a temporal basis. Further, it has been found that it is possible to achieve a better model performance by first decomposing the whole data set into different categories corresponding to different dynamics and then developing separate models for separate categories rather than developing a single model for the composite data set. [source] Backbone dynamics of SDF-1, determined by NMR: Interpretation in the presence of monomer,dimer equilibriumPROTEIN SCIENCE, Issue 11 2006Olga K. Baryshnikova Abstract SDF-1, is a member of the chemokine family implicated in various reactions in the immune system. The interaction of SDF-1, with its receptor, CXCR4, is responsible for metastasis of a variety of cancers. SDF-1, is also known to play a role in HIV-1 pathogenesis. The structures of SDF-1, determined by NMR spectroscopy have been shown to be monomeric while X-ray structures are dimeric. Biochemical data and in vivo studies suggest that dimerization is likely to be important for the function of chemokines. We report here the dynamics of SDF-1, determined through measurement of main chain 15N NMR relaxation data. The data were obtained at several concentrations of SDF-1, and used to determine a dimerization constant of ,5 mM for a monomer,dimer equilibrium. The dimerization constant was subsequently used to extrapolate values for the relaxation data corresponding to monomeric SDF-1,. The experimental relaxation data and the extrapolated data for monomeric SDF-1, were analyzed using the model free approach. The model free analysis indicated that SDF-1, is rigid on the nano- to picosecond timescale with flexible termini. Several residues involved in the dimer interface display slow micro- to millisecond timescale motions attributable to chemical exchange such as monomer,dimer equilibrium. NMR relaxation measurements are shown to be applicable for studying oligomerization processes such as the dimerization of SDF-1,. [source] Mathematical determination of the numerical data corresponding to the color-matching functions of three real observers using the RGB CIE-1931 primary system and a new system of unreal primaries X,Y,Z,COLOR RESEARCH & APPLICATION, Issue 2 2003J. A. Martínez Abstract In this work, we determine the numerical data of the experimental color-matching functions (cmf's) of three real observers (JAM, MM, and CF) for two small fields (2°). In previous works, these cmf's have been shown generically and expressed only in a new system of unreal X,Y,Z, primaries. Here, we show results found with these cmf's for the visible spectrum in intervals of 10 nm, from 400 to 700 nm. The data refer to both the RGB CIE-1931 system and a new system of unreal primaries X,Y,Z,, established by a procedure similar to that of the XYZ CIE-1931 system. This transformation was needed, because negative values appeared in various cmf's when they were referred to the XYZ CIE-1931 system. Recently, we have called this new system G94 (Granada ,94). Here, we also describe the method and calculation of the matrix that enables this transformation; in testing six real observers with new cmf's, we found positive results. We have used these new and experimental cmf's in several preceding works, as have other authors as well, to whom J. A. Martínez privately communicated the corresponding numerical data. The use of these cmf's by all the authors has led to noteworthy results. © 2003 Wiley Periodicals, Inc. Col Res Appl, 28, 89,95, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/col.10127 [source] | |||||||||||||