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Advanced Functional Materials, EarlyView.An optimized carbon host nanostructure enables a dual‐interface‐dominant architecture in sulfur cathodes of solid‐state Li‐S batteries by selectively forming sulfur|carbon and sulfur|solid electrolyte interfaces. This tailored interfacial configuration accelerates sulfur redox kinetics by establishing enriched Li+/e– transport networks, while ...
Zhao Yang +13 more
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2000
Publisher Summary This chapter describes the Bayesian hierarchical models. The evaluation of this study, by a Bayesian hierarchical linear model is derived from the data that include the other large clinical trials of thrombolytic therapy and suggests that treatment is also beneficial for patients, arriving much later than six hours after symptom ...
C H, Schmid, E N, Brown
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Publisher Summary This chapter describes the Bayesian hierarchical models. The evaluation of this study, by a Bayesian hierarchical linear model is derived from the data that include the other large clinical trials of thrombolytic therapy and suggests that treatment is also beneficial for patients, arriving much later than six hours after symptom ...
C H, Schmid, E N, Brown
openaire +2 more sources
Modelling Hierarchical Destination Choice [PDF]
Environment and Planning A: Economy and Space, 1986 The production-constrained gravity formulation is shown to be an especially inaccurate specification of reality whenever the selection of destinations by individuals results from a hierarchical choice process. Hierarchical decisionmaking violates the Independence from Irrelevant Alternatives property embedded in the theoretical derivation of the ...
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Hierarchical modeling of agreement
Statistics in Medicine, 2012Kappa‐like agreement indexes are often used to assess the agreement among examiners on a categorical scale. They have the particularity of correcting the level of agreement for the effect of chance. In the present paper, we first define two agreement indexes belonging to this family in a hierarchical context.
Vanbelle, Sophie +3 more
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Bayesian nonparametric hierarchical modeling
Biometrical Journal, 2009AbstractIn biomedical research, hierarchical models are very widely used to accommodate dependence in multivariate and longitudinal data and for borrowing of information across data from different sources. A primary concern in hierarchical modeling is sensitivity to parametric assumptions, such as linearity and normality of the random effects ...
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