• Journal of Information Processing Systems
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• v.19 no.6
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• pp.858-869
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• 2023

As one of the pivotal techniques of image restoration, single-channel blind source separation (SCBSS) is capable of converting a visual-only image into multi-source images. However, image degradation often results from multiple mixing methods. Therefore, this paper introduces an innovative SCBSS algorithm to effectively separate source images from a composite image in various mixed modes. The cornerstone of this approach is a novel triple generative adversarial network (TriGAN), designed based on dual learning principles. The TriGAN redefines the discriminator's function to optimize the separation process. Extensive experiments have demonstrated the algorithm's capability to distinctly separate source images from a composite image in diverse mixed modes and to facilitate effective image restoration. The effectiveness of the proposed method is quantitatively supported by achieving an average peak signal-to-noise ratio exceeding 30 dB, and the average structural similarity index surpassing 0.95 across multiple datasets.

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.422.1-422.1
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• 2002

This study examined the pharmacokinetic disposition of SJ-8029. a novel anticancer agent possessing microtubule and topoisomerase inhibiting activities. in mice. rats. rabbits and dogs after i.v. administration. The serum concentration-time curves of SJ-8029 were best described by tri-exponential equations in all these animal species. The mean CI. $V_{ss}$ and $t_{1/2}$ were 0.3 L/h. 0.1 Land 63.2 min in mice. 1.5 L/h. 1.6 Land 247.7 min in rats. 13.8 L/h. 39.6 Land 245.9 min in rabbits. and 29.2 L/h. 44.6 Land 117.4 min in dogs. respectively. (omitted)