[Artificial neural network forecasting method in monitoring technique by spectrometric oil analysis].

The spectrometric oil analysis (SOA) is an important technique for machine state monitoring and fault diagnosis, and forecasting machine state through SOA results has an advantage of finding out machine system wear fault early. Because Artificial Neural Network (ANN) possesses obvious advantages over traditional forecasting models for identifyingnon-linear model and forecasting non-even signal, the ANN forecasting approach was applied to monitoring technique by SOA, and the monitoringtechnique by SOA based on ANN forecasting was put forward. In the forecasting model, a 3-layer BP network structure was adopted.

Synthesis and characterization of the biological activity of the cisplatin analogs, cis-PtCl(2)(dexrazoxane) and cis-PtCl(2)(levrazoxane), of the topoisomerase II inhibitors dexrazoxane (ICRF-187) and levrazoxane (ICRF-186).

The individual stereoisomers cis-PtCl(2)(dexrazoxane) and cis-PtCl(2)(levrazoxane) were synthesized and their structures were determined by X-ray crystallography. Dexrazoxane and levrazoxane inhibit cell growth because they are strong catalytic inhibitors of DNA topoisomerase II, whereas cisplatin acts through the formation of DNA cross-links. It was hypothesized that platinum(II) complexes of dexrazoxane and levrazoxane would retain both activities and yield drugs with a dual mode of action.