To reduce the reaction time, electrical energy consumption, and cost, binary α-NiS β-NiS has been synthesized by a rapid, one-pot, hydrothermal autoclave microwave method within 15 min at temperatures of 160–180 °C.
The distributed algorithm is based on short range communication between neighboring sensors, and is designed to work with very basic low cost binary sensors, that can report only a sensing, not sensing value.
Using characterisation methods that provide information relevant to their clinical performance, low-cost binary platforms (3% hydroxypropylcellulose and either 1% or 2% ɩ-carrageenan) were identified that exhibited rheological, textural and viscoelastic properties advantageous for use as OVDs.
(2) The logical algorithm has a good performance in large binary datasets: its computational cost is smaller than that of the real.
The second algorithm refers to a complex of algorithms to solve four separate problems as described below in Computing the total cost of binary gene trees against the species tree - Stochastic characteristics of the second scenario design.
The algorithm of constructing T over G is similar to the binarization procedure detailed in Additional file 2. During the forward run (described in Computing the total cost of binary gene trees against the species tree) each pair < e, d> is assigned the minimal event i according to (5) and its minimal parameters.
For a binary class problem, the costs of classification can be given in a cost matrix (Table 4).
The second paper is joint work with Navarro et al., on optimal binary search trees with costs depending on the access paths [59].
This paper provides two characterizations of a mechanism based on the Dutta-Ray egalitarian solution in the context of a model of provision of a binary good with submodular costs.
These variables were split into the following two variables before imputation: a binary variable indicating whether the cost was zero and a log-transformed continuous variable for the actual cost when it was non-zero.
The problem resulted in a binary mixed integer non-linear cost optimization model.
