Sentence examples for which we formulated as from inspiring English sources

Our new model aimed at identifying and measuring the departure of observed allele fractions from germline expectations (0, 0.5 and 1), which we formulated as: This model was able to incorporate known population genetics information and sequencing data characteristics to aid mosaic detection.

The possible seeds are known to the reader such that it can construct S. As a response to a query, the reader receives a superposition of signature sequences (mathbf {s}_{a_{k}}) that are weighted with the respective channel coefficients h k, which we formulate as CS measurement mathbf{z} = sumlimits_{k=1}^{K} mathbf{s}_{a_{k}} h_{k} +mathbf{w} = mathbf{Sx} + mathbf{w}, (5).

Theorem 2 immediately implies the Theorem of Varga and Shazmary [ 23] which we formulate as follows: Corollary.

Our comprehensive review of the use of IT in splicing mutation analysis has led us to propose general recommendations, which we formulate as guidelines.

In the proofs of Theorems 1.2 and 1.3 we use some standard argumentation, which we formulate here as lemmas.

In diagnosing the ambiguity, Albert recognises that (S) implies a simpler, equally ambiguous sentence, which we might formulate as follows: (SP) Socrates did not twice see Plato.

To obtain an optimal design of the IUHSN reflecting the reality, we develop a mathematical model which is formulated as multi-period stochastic mixed integer linear programming concerning uncertain raw material prices.

In consideration of UEs' mobility, we develop an iterative resource allocation algorithm, which is formulated as a sequential Nash bargaining manner.

Therefore, in that case we assume a fully fuzzy reliability optimization problem which is formulated as follows: begin{aligned} left.

Instead, we adopt the definition of generalized diversity order given in[32], which is formulated as d ≜ - lim κ de → ∞ log P intercept log κ de, (26).

The estimated target location is denoted as x ^ = x ^, y ^ T. We employed root mean squared error (RMSE) to represent the positioning accuracy, which is formulated as RMSE = tr C x ^ = E x ^ - x 2 + y ^ - y 2 (1).