Previous articles have presented clinical quantitative trait locus (cQTL) models, where the information provided by quantitative/qualitative phenotypes, molecular ...

Because XML data is not based on a traditional relational model, implementing XML repositories using such databases can be complex and cumbersome. For example, every level of XML hierarchy would ...

Hierarchical data model generation during IP verification: During IP-level CDC verification, a data model is generated along with CDC results. This HDM contains all the necessary information about the ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

Alexander Christensen's recent study probably won't rewrite 40 years of history in the field of psychology, but he hopes that ...

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...

Mathias W. Tobler, Alfonso Zúñiga Hartley, Samia E. Carrillo-Percastegui, George V. N. Powell, Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data, Journal ...

This is a preview. Log in through your library . Abstract An important goal in fMRI studies is to decompose the observed series of brain images to identify and characterize underlying brain functional ...

To answer that question, I look to the wisdom hierarchy, a concept developed by organizational theorist Russell Ackoff in 1989. In this model, Ackoff divides the types of things we hear and learn ...