A database model that focuses on decision support outcomes rather than the normal relationships between datasets as in an entity relationship (ER) model. ER models are "normalized" models that are ...

The decision making processes need to reflect changes in the business world in a multidimensional way. This paper includes also similar way of viewing the data for carrying out key decisions that ...

Starting with the pioneering work of Laub and Purnell in the 1970s, gas chromatography (GC) and high performance liquid chromatography (HPLC) modeling has evolved into a key research area aimed at ...

A radiation model based on the Discrete Ordinates Method (DOM) was incorporated into the KIVA3v multidimensional code to study the effects of soot and radiation on diesel engine performance at high ...

AECOM Technology Corporation, a leading provider of professional technical and management support services for government and commercial clients around the world, announced today that it has released ...

Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. In the age of data-driven decision-making, the significance of ...

Nicotine & Tobacco Research, Vol. 5, No. 5 (October 2003), pp. 655-664 (10 pages) The standard tool for assessing tobacco dependence is the Fagerström Tolerance Questionnaire (FTQ) or its more recent ...

One-dimensional turbulence (ODT) modelling represents a powerful stochastic framework for simulating turbulent flows while reducing computational complexity. By focussing on a single spatial dimension ...