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In contrast, most previous models relied on a quantitative genetic modelling approach, which assumes that life-history traits are influenced by an infinite number of loci, each of small effect (Huisman and Tufto 2012).
This paper presents the data-based mechanistic modelling approach which has been developed to model the dynamic indoor temperature distribution in an imperfectly mixed ventilated airspace based on energy input to the system.
The Plaid Model [ 16] is a statistical modelling approach which represents the input matrix as a superposition of layers where each layer corresponds to a bicluster.
There is, however, a growing literature on how the elements of a modelling problem influence the appropriate modelling approach, which provides an indication of how models of public health interventions might be constructed.
To address this issue, an ensemble modelling approach – which considers a set of climate models – is applied in this study with a monthly, conceptual hydrological model for assessing future runoff conditions in the upper Danube basin (101,810 km2).
Only 6 studies (20%) employed a modelling approach, which among them, type of the model used was not specified in two studies [ 34, 38].
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In this it differs significantly from many traditional modelling approaches which can only cope with quantifiable variables (Janes 1988).
The estimate of electromechanical beam constitutive coefficients is discussed and comparison with standard modelling approaches, which assume either vanishing transverse stresses or vanishing transverse strains, is emphasized.
This paper reviews integrative modelling approaches which were developed to analyze the impact of multifunctional agriculture, or which may be used as such.
The following problems are discussed: modelling approaches which take into account all important design data; analytical methods for performance evaluation for each design solution; cost evaluation of production lines; optimisation algorithms, based on different production line models.
Recent advances in geographical information systems have, one one hand, facilitated modelling approaches which explicitly incorporate network data (Groff2007b), but have also been accompanied by the development of the field of network science, which uses ideas from graph theory to facilitate sophisticated analysis of real-world networks (Newman2010).
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CEO of Professional Science Editing for Scientists @ prosciediting.com