Publications by authors named "Yuanqian Liu"

Herein, by engineering the geometries of the organic linkers, two pyrrolo-pyrrole-based low-symmetry tetracarboxylate linkers (TAPPs) were successfully designed and subsequently used for the construction of two new zirconium-based metal-organic frameworks (Zr-MOFs) ( and ). The reduction of the linker symmetry arises from both the asymmetric pyrrolo-pyrrole core and the integration of both the - and -benzoate coordination groups on the linkers. Both MOFs are composed of 8-connected Zr nodes and 4-connected highly deformed TAPP linkers with the same topology, but distinct linker arrangements can be observed in two structures.

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The image encryption system based on joint transform correlation has attracted much attention because its ciphertext does not contain complex value and can avoid strict pixel alignment of ciphertext when decryption occurs. This paper proves that the joint transform correlation architecture is vulnerable to the attack of the deep learning method-convolutional neural network. By giving the convolutional neural network a large amount of ciphertext and its corresponding plaintext, it can simulate the key of the encryption system.

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The China possesses more than 70% Ginkgo resources in the world. The purposes of this research are to collect fine seedling and grafting clones in China, to probe genetic law on flavone glycosides and terpenes on Ginkgo leaves, and select leaf-used cultivars of high-pharmaceutical composition. In this research, we have collected 87 clones from 13 provenances and have carried out randomized block experiment at Tancheng, Laizhou and Yaoxiang in Shandong Province.

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