The dynamic kinetic resolution (DKR) of racemic compounds provides one of the most convenient and efficient routes to a wide range of enantiomerically enriched molecules.
动态动力学拆分是合成具有光学活性化合物最方便和最有效的方法之一。
The efficient integration of remote-sensing images with multiple spatial, temporal and spectrum resolution was a key of remote-sensing application.
对不同空间分辨率、时间分辨率和波谱分辨率的遥感图像进行综合、高效的利用,是遥感应用的关键问题之一。
Without any spectral peak search and parameters pairing, the resulting method is computationally efficient with high resolution and small variance, even in the short data length.
此方法回避了多维谱峰搜索和参数配对,克服了在短数据时离散傅立叶变换测频分辨率低和性能差的不足。
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