Abstract: In neural networks, the states of neural networks often exhibit significant spatio-temporal heterogeneity due to the diffusion effect of electrons and differences in the concentration of neurotransmitters. One of the ...

Abstract: In this research, a novel meshless numerical method, termed general particle dynamics (GPD), to simulate crack initiation, propagation, and coalescence in rock-like materials subjected to impact loads was developed. In the ...

Abstract: Traditional deicing approaches such as salting pollute the environment and corrode reinforcing steel bars in concrete. Meanwhile, recently emerging carbon nanofiber material has improved electrical conductivity, a large ...

Abstract: Dynamic frequency sweep and stable flow experiments were conducted on four asphalt mastics consisting of fly ash, limestone, hydrated lime and cement fillers. The influence of different mineral fillers and the ratio of ...

Abstract: This paper presents a novel method of multiscale association for analyzing a turbogenerator accident having strange behaviors and serious consequence. Wave index (WI) and credibility of sensor ...

Abstract: In this paper, a high-dimensional system of nearest-neighbor coupled neural networks with multiple delays is proposed. Nowadays, most present researches about neural networks have studied the connection between adjacent ...

Abstract: he δ18O and δD of atmospheric water vapor are important tracers in hydrological and ecological studies. Isotope ratio infrared spectroscopy (IRIS) provides an in situ technology for measuring δ18O and δD in ambient conditions. ...

Abstract: Artificial ground freezing (AGF) has been applied widely in the construction of urban transportation infrastructure in China for the last two decades. This study provides a comprehensive review of the regional application, ...