With the increasing availability of experimental data on gene-gene and protein-protein interactions, modeling of gene regulatory networks has gained a special attention lately. To have a better understanding of these networks it is necessary to capture their dynamical properties, by computing its steady states. Various methods have been proposed to compute steady states but almost all of them suffer from the state space explosion problem with the increasing size of the networks. Hence it becomes difficult to model even moderate sized networks using these techniques. In this paper, we present a new representation of gene regulatory networks, which facilitates the steady state computation of networks as large as 1200 nodes and 5000 edges. We benchmarked and validated our algorithm on the T helper model from [8] and performed in silico knock out experiments: showing both a reduction in computation time and correct steady state identification.

Abstract-We describe the fabrication of vertically stacked Silicon Nanowire Field Effect Transistors (SiNW FETs) in Gate-All Around (GAA) configuration. Stacks with the number of channels ranging from 1 to 12 have been successfully produced by means of a micrometer scale lithography and conventional fabrication techniques. It is shown that demonstrator Schottky Barrier (SB) devices fabricated with Cr/NiCr contacts present good subthreshold slope (70mV/dec), IoN/loF F ratio 2:10 4 and reproducible ambipolar behavior.

Abstract-In silico modeling of Gene Regulatory Networks has gained a lot of attention recently as it gives a very powerful tool to experimental biologists to gather the knowledge gained from different biological experiments and understand the dynamics of the overall system. One of the key dynamics that is often interesting is the steady states of the networks which biologically corresponds to the cellular states. In our previous paper, we gave an efficient method called GenYsis to compute these steady states in Boolean representation of Gene Regulatory Network. It has been observed that protein may be expressed at more then two level of expression. This may result in different cellular outcomes. To address this issue, we present here a multiple-level modeling methodology that allows us to be more accurate. In this paper we extend our software GenYsis to model gene regulatory networks where each node in the network may take multiple values.

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This work envisions a common design methodology, applicable for every interconnect level and based on early wire characterization, to provide a faster convergence to a feasible and robust design. We claim that such a novel design methodology is vital for upcoming nanometer technologies, where increased variations in both device characteristics and interconnect parameters introduce tedious design closure problems. The proposed methodology has been successfully applied to the wire synthesis of a Network-on-Chip interconnect to: (i) achieve a given delay and noise goals, and (ii) attain a more power-efficient design with respect to existing techniques.