The investigators found that “any period of mild or greater severity nonadherence was significantly predictive of return of psychotic symptoms.”
这些研究者发现“任何周期的轻度或更严重的不依从是精神病症状恢复的明显前兆。”
2
The results confirmed that the two-step predictive deconvolution method can effectively suppress the variable period reverberation, highlight the valid reflections, and improve the data quality.
结果表明，利用两步法预测反褶积可以很好地压制变周期鸣震干扰，突出有效反射，提高资料的品质。
3
With the prediction cases during the period of 1979 to 1994, the predictive capability of the model for ENSO-caused global climate anomalies is discussed.