In this paper ABS parts plus acrylonitrile monomer were prepared using melt blending method by twin-screw extruder, and the influence of soaking temperature, concentration of acrylonitrile monomer, ABS copolymer composition on the short-term migration of residual acrylonitrile monomer into pure water was studied, and the long-term migration behavior and diffusion coefficient were also further characterized.

Melamine formaldehyde resin was synthetized and mixed with different concentrations of cellulose to obtain moulding compounds, and finally molded into melamine resin tableware. The influences of several factors like cellulose content, molding temperature, molding time, soaking medium and soaking time on the migration of residual melamine monomer and the surface morphology change were studied

The paper proposes a glucose prediction model and hypoglycemia alarms technology based on CGMS. Method: By using kalman filter to smooth the glucose data from the CGMS, reducing noise interference; Then according to the non-stationary characteristics of glucose concentration signal ,Using adaptive autoregressive model (AR) glucose prediction model is established; Finally, the prediction model is applied to hypoglycemia alarms. Results: The prediction model can dynamically capture the changes of the glucose and predict glucose of 30 min ahead, RMSE、SSGPE were 5.069,5.276; And hypoglycemia can be timely detected.