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As he notes, computational models usually describe more than just input-output relations.
Gaussian and Laplacian [15, 51 54] models usually describe the marginal probability P in (1): begin{array}rcl@ P theta) = int {P theta,tau dtau } end{array} (1).
Because fluid models usually describe the plasma in terms of a single flow at a certain temperature at each spatial location, they can neither capture velocity space structures like beams or double layers, nor resolve wave-particle effects.
Although models usually describe mating preferences using a single variable for the sake of mathematical tractability, real mate choice is composed of multiple components, and probably cannot be fully described so simply (Brooks and Endler 2001; Rodriguez et al. 2013).
10 11 Research impact models usually describe a sequence of impacts starting with immediate research outputs (eg, scholarly publications), moving to translational outputs (eg, implementation protocols) and further 'real world' impacts which occur beyond the research setting, including policy or practice impacts and long-term population health outcomes.
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Generally, the fluid flow models could be classified into three categories [2]: (i) 1-D models, normally with simplified formulation and solution; (ii) semi-empirical 2-D models, usually described as core-annulus models; and (iii) computational fluid dynamics (CFD) models deduced from phenomenological concepts with a comprehensive and generic character but not easy to formulate and solve.
This kind of discrete temporal model usually describes certain insects whose populations have non-overlapping generations or the number of populations is small in nature.
For this reason this model distinguishes itself from general-purpose models which usually describe less accurately the phenomena taking place in such particular systems.
Land use change alters water and element cycles, but the changes in these cycles after conversion, for example, from cropland to forest are not fully described in hydrological and nutrient transport models, which usually describe either cropland or forest stands.
Mechanistic spatial models are usually described as being; an individual-based simulation, a metapopulation model or a network model.
Those general models are usually described through their conditional intensity λ , which represents the probability of occurrence of a point at time t given the past before t.
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