Background: A prerequisite for successful embryo implantation is adequate preparation of receptive endometrium and the establishment and maintenance of a viable embryo. The success of implantation further relies upon a two-way dialogue between the embryo and uterus. However, molecular bases of these preimplantation and implantation processes in humans are not well known. Materials and Methods: ...

Inferring the network topology from the dynamics is a fundamental problem, with wide applications in geology, biology, and even counter-terrorism. Based on the propagation process, we present a simple method to uncover the network topology. A numerical simulation on artificial networks shows that our method enjoys a high accuracy in inferring the network topology. We find that the infection rat...

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studie...

Machining processes such as end milling are the main steps of production which have major effect on the quality and cost of products. Surface roughness is one of the considerable factors that production managers tend to implement in their decisions. In this study, an artificial neural network is proposed to minimize the surface roughness by tuning the conditions of machining process such as cut...

The foundation for network process evolution research is the modeling of network structure and behavior complexity. With such a model, network systems can be directed toward acquiring good maintainability attributes according to the principles of engineering. In this paper, a Process Management Network (PMN) model is developed to acquire directly from the target process codes the knowledge hidd...

In many complex decision-making problems, the decision information provided by the decision makers is often imprecise or uncertain due to time limit, lack of data, or the decision makers’ limited attention and information processing capabilities. Decision-making in a fuzzy environment means a decision process in which the goals and/or the constraints, but not necessarily the system under contro...

In this paper, we proposed an optimized process neural network based on fourier orthogonal base function, which can deal with both static value and time-varied continuous value simultaneously. To further improve its performance, we optimize the network topological structure, which adopts fourier expansion based preprocessing. Experiments based on the real datasets show that our proposed churn p...