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Only few trust-aware methods have attempted to recommend users an ordered list of interesting items, i.e., item recommendation.
The existing state-of-the-art methods have attempted to remove the RVIN in images but are successful only at lower noise densities.
While, historically, qualitative methods have attempted to tease out subjective interpretations, quantitative survey methods also attempt to capture individual subjectivities.
More recently, genetic methods have attempted to replace the traditional classification methods and DNA-DNA hybridization studies have identified 20 Leptospira spp. to date [5], [8] [11].
Numerical methods have attempted to look for larger groups of genes which are inferred to be co-regulated using "guilt-by-association" arguments [1].
A variety of computational methods have attempted to exploit the evolutionary stability of functional regions by identifying ligand binding sites as a method to predict function [4], [5].
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By comparing the results, it can be concluded that it is in line with previous similar studies and indicated that the proposed method has attempted to control signals of u2, u3 and u4, but the control signal of u1 was weak.
Although both of these characteristics are useful in elucidating disease networks in the context of breast cancer (Chuang et al, 2007; Taylor et al, 2009), no method has attempted to combine them.
Other methods that have attempted to elicit and quantify user needs in healthcare are conjoint analysis (CA) [ 36], discrete choice experiments [ 37] and best-worst scaling [ 38].
By comparing sets of MZ twins to carefully matched control sets of DZ twins (the "twin method"), researchers have attempted to elucidate the relative importance of heredity versus environment in the development of certain diseases, in the formation of the personality, and in intelligence.
As interest has grown in the analysis of the data produced by this method, authors have attempted to clarify the relevant concepts.
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CEO of Professional Science Editing for Scientists @ prosciediting.com