We present a numerical model of two fluid mixing based on hyperbolic equations having complete state variables (velocity, pressure, temperature) for each fluid. The model is designed for the study of acceleration driven mixing layers in a chunk mix regime dominated by large scale coherent mixing structures. The numerical solution of the model is validated by comparison to the incompressible lim...

A statistical training study is reported which demonstrates that analytic responding on everyday reasoning problems can be increased after instruction in statistical principles. Participants were given training on the Law of Large Numbers (Fong, Krantz and Nisbett, 1986). Bias was eliminated, but only on written justifications of their responses. Belief-based responding was still utilized when ...

We present analytic framework for evidence-based management, design, and engineering of collaborative intranet environments. The analytics target elucidation of essential elements of human-system interactions. Temporal segmentation of human behavior in digital environments permits identification of crucial navigational points as well as higher order abstractions. Explorations of these elements ...

We device a new method to calculate a large number of Mellin moments of single scale quantities using the systems of differential and/or difference equations obtained by integration-by-parts identities between the corresponding Feynman integrals of loop corrections to physical quantities. These scalar quantities have a much simpler mathematical structure than the complete quantity. A sufficient...

In this paper we consider a second order, Sturm-Liouville-type boundary-value operator of the form Lu := −[pu∇]∆ + qu, on an arbitrary, bounded time-scale T, for suitable functions p, q, together with suitable boundary conditions. We show that, with a suitable choice of domain, this operator can be formulated in the Hilbert space L(Tκ), in such a way that the resulting operator is self-adjoint,...

Prediction of the quality attributes of software architectures requires technologies that enable the application of analytic theories to component models. However, available analytic techniques generally operate on formal models specified in notations that cannot flexibly and intuitively capture the architectures of large-scale distributed systems. The construction of model interpreters that tr...

Prediction of non-functional properties of software architectures requires technologies that enable the application of analytic theories to component models. However, available analytic techniques generally operate on formal models specified in notations that cannot flexibly and intuitively capture the architectures of large-scale distributed systems. The construction of model interpreters that...

We derive analytic expressions for the biases of the maximum likelihood estimators of the scale parameter in the half-logistic distribution with known location, and of the location parameter when the latter is unknown. Using these expressions to bias-correct the estimators is highly effective, without adverse consequences for estimation mean squared error. The overall performance of the first o...

We describe the needs for data provenance in a large-scale analytic environment to support financial systemic risk analysis. Government financial regulators need to make sense of the outputs of thousands to tens of thousands of simulation runs invoked by a large analytic staff; automatic capture of data provenance (dataset sources and processing steps) supports analysts without adding to their ...

The cross section for inclusive prompt photon production with polarized hadron beams is calculated at order αα 2 s using the phase space slicing or analytic/Monte Carlo method. Isolation cuts are placed on the photon and the results are compared to a previous fully analytic calculation. Numerical results for the isolated cross section are presented for for p p → γ + X at RHIC center-of-mass ene...