Although most dynamic crop models have been developed and tested for the scale of a homogeneous plot, applications related to climate variability are often at broader spatial scales that can incorporate considerable heterogeneity. This study reviews issues and approaches related to applying crop models at scales larger than the plot. Perfect aggregate prediction at larger scales requires perfec...

Gene prediction relies on the identification of characteristic features of coding sequences that distinguish them from non-coding DNA. The recent large-scale sequencing of entire genomes from higher eukaryotes, in conjunction with currently used gene prediction algorithms, has provided an abundance of putative genes that can now be analysed for their compositional properties. Strong, systematic...

prediction of mechanical properties of carbon nanotube-based composite is one of the important issues which should be addressed reasonably. a proper modeling approach is a multi-scale technique starting from nano scale and lasting to macro scale passing in-between scales of micro and meso. the main goal of this research is to develop a multi-scale modeling approach to extract mechanical propert...

objective: to determine the prediction value of disorder of consciousness scale (docs) for consciousness recovery after traumatic brain injury (tbi) leading to coma. methods: this is a descriptive-cross-sectional study of the correlation between the level of patients’ consciousness in the first and second weeks and the first 2 months after traumatic brain injury, using docs scale. results: the ...

In this paper we investigate the problem of predicting the closed set identification performance of biometric matchers in large-scale applications given their corresponding performances in small-scale applications. We identify two major effects responsible for the prediction errors in previously proposed methods: the binomial approximation effect and the score mixing effect. We propose to use a...

In order to make conventional implicit algorithm to be applicable in large scale parallel computers , an interface prediction and correction of discontinuous finite element method is presented to solve time-dependent neutron transport equations under 2-D cylindrical geometry. Domain decomposition is adopted in the computational domain.The numerical experiments show that our parallel algorithm w...

A methodology for developing future generations of a storm-scale weather prediction model for Massively Parallel Processing is described. The forecast model is the Advanced Regional Prediction System (ARPS), a three-dimensional, fully compressible, non-hydrostatic predictive model. In the short term, the computational goals include developing a portable, scalable model for distributed memory SI...