Gate-Level Circuit Partitioning Algorithm Based on Clustering and an Improved Genetic Algorithm.

Gate-level circuit partitioning is an important development trend for improving the efficiency of simulation in EDA software. In this paper, a gate-level circuit partitioning algorithm, based on clustering and an improved genetic algorithm, is proposed for the gate-level simulation task. First, a clustering algorithm based on betweenness centrality is proposed to quickly identify clusters in the original circuit and achieve the circuit coarse.

[Effects of 5-Aza-2'-deoxycytidine on the carcinogenesis of colorectal cancer in mouse and the in vivo expression of p16/CDKN(2) mRNA].

Objective: To explore the effects and relationship of specific demethylation agent 5-Aza-2'-deoxycytidine (5-Aza-CdR) on colorectal cancer (CRC) induced by 1, 2-dimethylhydrazine (DMH) in mouse and the in vivo expression of cyclin-dependent kinases inhibitor p16/CDKN(2) mRNA.

Methods: A total of 40 male KM mice were randomized into 2 groups and CRC was induced by a 22-week injection of DMH. One group was interfered by specific DNA methyltransferase inhibitor 5-Aza-CdR.

Scale invariance of human electroencephalogram signals in sleep.

In this paper, we investigate the dynamical properties of electroencephalogram (EEG) signals of humans in sleep. By using a modified random walk method, we demonstrate that scale-invariance is embedded in EEG signals after a detrending procedure is applied. Furthermore, we study the dynamical evolution of the probability density function (PDF) of the detrended EEG signals by nonextensive statistical modeling.