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Organic compounds 1

QSPR 1

Quantum chemical descriptors 1

Storage lipid/water distribution coefficient 1

christa philtri geometrically justified 1

cleft lip and palate 1

log Klip/w 1

rotation advancement 1

sufficient rotation 1

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Sufficient downward rotation of the christa philtri on the cleft side: a modified technique

Yi Xu, Jingtao Li, Bing Shi

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 510-516 doi: 10.1007/s11684-013-0299-6

Abstract:

Cleft lip and palate (CLP) is the most common craniofacial congenital deformity.lip repair.Sixty patients with unilateral complete cleft lip and palate were operated with this technique.The difference observed in the lip height and lip length immediately after surgery became statisticallyinsignificant after 10 months (P = 0.104 for lip height and 0.121 for lip length).

Keywords： cleft lip and palate     rotation advancement     sufficient rotation     christa philtri geometrically justified    

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Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic compounds

Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1316-z

Abstract: Abstract • A predictive model for storage lipid/water distribution coefficient was developed. • The model yields outstanding fitting performance, robustness, and predictive ability. • Hydrophobic and electrostatic interactions and molecular size dominate log Klip/w. • The model can be used in a wide application domain to predict log Klip/w values. The distribution of organic compounds in stored lipids affects their migration, transformation, bioaccumulation, and toxicity in organisms. The storage lipid/water distribution coefficient (log Klip/w) of organic chemicals, which quantitatively determines such distribution, has become a key parameter to assist their ecological security and health risk. Due to the impossibility to measure Klip/w values for a huge amount of chemicals, it is necessary to develop predictive approaches. In this work, a quantitative structure-property relationship (QSPR) model for estimating log Klip/w values of small organic compounds was constructed based on 305 experimental log Klip/w values. Quantum chemical descriptors and n-octanol/water partitioning coefficient were employed to characterize the intermolecular interactions that dominate log Klip/w values. The hydrophobic and electrostatic interactions and molecular size have been found to play important roles in governing the distribution of chemicals between lipids and aqueous phases. The regression (R2 = 0.959) and validation (Q2 = 0.960) results indicate good fitting performance and robustness of the developed model. A comparison with the predictive performance of other commercial software further proves the higher accuracy and stronger predictive ability of the developed Klip/w predictive model. Thus, it can be used to predict the Klip/w values of cycloalkanes, long-chain alkanes, halides (with fluorine, chlorine, and bromine as substituents), esters (without phosphate groups), alcohols (without methoxy groups), and aromatic compounds.

Keywords： Storage lipid/water distribution coefficient     log Klip/w     Organic compounds     QSPR     Quantum    

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A novel color image encryption algorithm based on a fractional-order discrete chaotic neural network and DNA sequence operations Research Articles

Tenreiro Machado, Ran-chao Wu,lip_chenhut@126.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.1900709

Abstract: A novel algorithm based on dynamic deoxyribonucleic acid (DNA) encoding and chaos is presented. A three-neuron fractional-order discrete Hopfield neural network (FODHNN) is employed as a pseudo-random chaotic sequence generator. Its initial value is obtained with the secret key generated by a five-parameter external key and a hash code of the plain image. The external key includes both the FODHNN discrete step size and order. The hash is computed with the SHA-2 function. This ensures a large secret key space and improves the algorithm sensitivity to the plain image. Furthermore, a new three-dimensional projection confusion method is proposed to scramble the pixels among red, green, and blue color components. DNA encoding and diffusion are used to diffuse the image information. Pseudo-random sequences generated by FODHNN are employed to determine the encoding rules for each pixel and to ensure the diversity of the encoding methods. Finally, confusion II and XOR are used to ensure the security of the encryption. Experimental results and the security analysis show that the proposed algorithm has better performance than those reported in the literature and can resist typical attacks.

Keywords： 分数阶离散系统；神经网络；DNA加密；彩色图像加密    

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Title Author Date Type Operation

Sufficient downward rotation of the christa philtri on the cleft side: a modified technique

Yi Xu, Jingtao Li, Bing Shi

Journal Article

Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic compounds

Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu

Journal Article

A novel color image encryption algorithm based on a fractional-order discrete chaotic neural network and DNA sequence operations

Tenreiro Machado, Ran-chao Wu,lip_chenhut@126.com

Journal Article