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It is of particular importance to demonstrate the potential applicability of the triangular RNA nanoscaffolds.
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In this paper, to illustrate the applicability of the proposed approach, triangular intuitionistic fuzzy information axiom is applied to uninformed search algorithm selection problem including unweighted, weighted, and multi-expert evaluation cases.
Numerical examples are presented to verify the applicability of the proposed method to triangular plates of different shapes, and, perhaps more importantly, different boundary conditions.
Close up image of one node of the triangular honeycomb.
Optimal constructs of the triangular element and triangular first order assembly (TFOA) are obtained, respectively.
Weight of the triangular portion, OBJ.
Weight of the triangular portion, OBD.
No violation of the triangular inequality was observed.
width of the triangular hypoechoic scar niche (termed 'W').
depth of the triangular hypoechoic scar niche (termed 'D').
Similar methodologies [ 10, 11] have been developed for the triangular factor of a symmetric-positive definite matrix rather than the inverse of the triangular factor.
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