Optimum synthesis of discrete capacitated networks with multi-terminal commodity flow requirements

Network design problems arise in a wide range of applied areas including telecommunications, computer networks, and transportation. In this paper, we address the following discrete capacitated multi-terminal network design problem.

A reverse complementary multimodal imaging system to visualize microRNA9-involved neurogenesis using peptide targeting transferrin receptor-conjugated magnetic fluorescence nanoparticles

Multimodal imaging systems may eliminate the disadvantages of individual imaging modality by

providing complementary information about cellular and molecular activites. In this sutdy, we developed

a reverse complementary multimodal imaging system to image microRNAs (miRNA, miR) during neurognesis

using transferrin receptor (TfR) and a magnetic fluorescence (MF) nanoparticle-conjugated

peptide targeting TfR (MF targeting TfR). Both in vitro and in vivo imaging demonstrated that, in the

Optimal Solution of the Discrete Cost Multicommodity Network Design Problem

We investigate a multicommodity network design problem where a discrete set of technologies with step-increasing cost and capacity functions should be installed on the edges. This problem is a fundamental network design problem having many important applications in contemporary telecommunication networks. We describe an exact constraint generation

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