The goal of the project was to identify and quantify the challenges of possible modeling approaches, and to evaluate the requirements for modeling agricultural risk in China, with the understanding that the progress of agricultural risk modeling is a process and maturity, complexity, and robustness of property catastrophe risk modeling takes time to achieve.
Following from those studies further requirements for modeling tools emerge, and the talk will discuss recent and future developments.
Precision and generalization ability are the two main requirements for modeling the temperature drift of a Ring Laser Gyroscope (RLG).
In this primer we propose a set of requirements for modeling and documenting complex AIS that address those concerns.
This paper presents a simple solution for the EPIC architecture that is consistent with the overall requirements for modeling visually-intensive tasks and other visual memory phenomena.
Through our analysis of the current state of the research, we diagnose some of the future requirements for modeling the supply chain of agri-foods.
The proposed stochastic models meet the accuracy and computational speed requirements for modeling complex biological processes.
For instance, the direct effect of perception on action, and action on perception (which lead to phenomena like priming, alignment and mimicry) are highly relevant topics in social cognitive science and should be considered as requirements for modeling social interaction.
For example: There is evidence that a disulphide bridge is present in ECL3 of MC4R [45] and The NMR solution structure of ICL3 in Vasopressin V2 receptor (hV2R) was recently published [46], negating the requirement for modelling this portion of the receptor.
This study provides an innovative, objective method for assessing sodium and iodine intakes against population-weighted requirements and for modelling the potential effects of salt-reduction strategies on dietary sodium and iodine.
