Unraveling cancer through network models

Through the Looking Glass: Unraveling the Network Structure of Coal

Numerous swelling parameters measured by magnetic resonance microscopy (MRM) are found to correlate with cross-link density of the polymer network under investigation. Use of these parameters to assess the three-dimensional network structure of coal is discussed.

Unraveling Unstructured Process Models

A BPMN model is well-structured if splits and joins are always paired into single-entry-single-exit blocks. Well-structuredness is often a desirable property as it promotes readability and makes models easier to analyze. However, many process models found in practice are not well-structured, and it is not always feasible or even desirable to restrict process modelers to produce only well-struct...

Unraveling Flow Patterns through Nonlinear Manifold Learning

From climatology to biofluidics, the characterization of complex flows relies on computationally expensive kinematic and kinetic measurements. In addition, such big data are difficult to handle in real time, thereby hampering advancements in the area of flow control and distributed sensing. Here, we propose a novel framework for unsupervised characterization of flow patterns through nonlinear m...

Unraveling the complexity of network management

Unraveling the Complexity of Network Management

Operator interviews and anecdotal evidence suggest that an operator’s ability to manage a network decreases as the network becomes more complex. However, there is currently no way to systematically quantify how complex a network’s design is nor how complexity may impact network management activities. In this paper, we develop a suite of complexity models that describe the routing design and con...