Sentence examples for modeling approaches which from inspiring English sources

This chapter, therefore, discusses different modeling approaches, which allow better quantitative understanding of the processes occurring in trickle bed reactors.

Most of the present modeling approaches, which aim to analyze the impact of global change on agriculture, deliver aggregated results both with regard to content and spatial resolution.

Most studies on disaster risk communication are predominantly based on individual-level cognitive modeling approaches, which fail to address the role of social groups, human relations, and other collective social factors in the dissemination process of disaster preventive measures.

Rather, we wanted to identify the key challenges and obstacles to the two crop risk modeling approaches (which are used for agricultural insurance pricing), their dependency on data, and ways to overcome these challenges in the environment under which agricultural insurance operates in China.

These results of the univariate models were supported by multivariable modeling approaches which gave similar results (data not shown).

For gene expression time courses, statistical modeling approaches, which take the temporal interdependencies into account have proven to be superior over approaches which do not (Bar-Joseph et al., 2002; Ernst et al., 2005; Schliep et al., 2003, 2004, 2005).

A diffusive flux modeling approach, which allows calculating particle migration to the channel center, is employed.

This paper presents a piecewise linear (PWL) modeling approach, which can describe global nonlinearity with locally linear functions, to refinery scheduling.

Here we describe a simplified groundwater modeling approach, which is based on the parsimonious estimation of mass fluxes exchanged laterally between REWs.

To address the limitations of mass-action and logic-based models, Kraeutler et al. developed the normalized Hill differential equation modeling approach, which uses logic-based differential equations to represent activation or inhibition by molecular species in the network [33].

In modeling of solid-based processes, Discrete Element Method (DEM) is a very popular high-fidelity modeling approach which enables the tracking of discrete entities as they are processed inside complex geometries interacting with each other and with process boundaries.