Sentence examples for methods include i from inspiring English sources

Methods include (i) numerical integration, (ii) a semi-analytical method involving solving transcendental equations numerically, and (iii) perturbation methods.

These methods include (i) KINEROS2 fitting to the experimental cumulative runoff data; (ii) estimating solely on soil texture; and (iii) estimating by individual pedotransfer functions (PTFs) and an ensemble of PTFs from basic soil properties.

Such methods include (i) on-farm trials; (ii) demonstration plots controlled by agricultural extension agents; (iii) field days for farmers; and (iv) agricultural shows to which farmers are invited and (v) farmer-to-farmer exchange of information (see for example Bentley (2009); Akinsorotan (2009); Davis, et al. (2010)).

Well-known top-down methods include (i) mechanical exfoliation (Scotch tape method) historically used in the first discovery of graphene by Geim and Novoselov [1], (ii) chemically converted graphene (reduction of graphene oxide) [16], (iii) electrochemical exfoliation [17], (iv) liquid phase exfoliation (LPE) in the presence/absence of surfactants [18] and so on.

Such methods include (i) stoichiometric representation and extreme pathway analysis [ 13], (ii) Boolean (on/off) and Bayesian (probabilistic) representation of interactions [ 14- 16], (iii) logical hypergraph representation and logical steady state analyses [ 17], and (iv) Petri nets graph representation and simulations [ 18- 20].

The SLS technique has several significant advantages over conventional methods, including: (i) non-contact in situ measurements, (ii) remote placement of laser equipment using fiber optics, (iii) ability to inspect surfaces with complex geometry, (iv) high spatial resolution, and (v) sensitivity high enough to detect fiber-breakage in a single ply.

With this in mind, the key ingredients in the construction of the method include: (i) an adjoint consistent imposition of the boundary conditions; (ii) an adjoint consistent reformulation of the underlying target functional of practical interest; (iii) design of appropriate interior penalty stabilization terms.

Other main advantages of the AAF method include: (i).

The useful outcomes of this method include: (i) better functional space coverage in human proteome compared to regular hmmpfam method and (ii) better detection of remote homologs beyond the capacity of simple profile-sequence comparison method, especially for those families where structure diverges more slowly than sequence [ 49].

Key differences of our protocol compared to the differential RNA-seq method include: I) Depletion of stable RNAs using the Ribo-Zero rRNA removal kit, as preliminary tests indicated that rRNA constitutes up to 99% of the total RNA in C. glutamicum (data not shown), necessitating an efficient removal in both libraries.

The contribution of our method includes (i) a generative approach for alignment able to find canonical views consistently through scenes/objects and (ii) the application of an efficient but effective matching method used for ranking.