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Jiang, Shui-Hua,Li, Dian-Qing,Zhou, Chuang-Bing,Zhang, Li-Min Techno-Press 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.49 No.1
The stochastic response surface method (SRSM) and the response surface method (RSM) are often used for structural reliability analysis, especially for reliability problems with implicit performance functions. This paper aims to compare these two methods in terms of fitting the performance function, accuracy and efficiency in estimating probability of failure as well as statistical moments of system output response. The computational procedures of two response surface methods are briefly introduced first. Then their capabilities are demonstrated and compared in detail through two examples. The results indicate that the probability of failure mainly reflects the accuracy of the response surface function (RSF) fitting the performance function in the vicinity of the design point, while the statistical moments of system output response reflect the accuracy of the RSF fitting the performance function in the entire space. In addition, the performance function can be well fitted by the SRSM with an optimal order polynomial chaos expansion both in the entire physical and in the independent standard normal spaces. However, it can be only well fitted by the RSM in the vicinity of the design point. For reliability problems involving random variables with approximate normal distributions, such as normal, lognormal, and Gumbel Max distributions, both the probability of failure and statistical moments of system output response can be accurately estimated by the SRSM, whereas the RSM can only produce the probability of failure with a reasonable accuracy.
Min Deng,Min Wang,Chao Tang,Bo Cai,Guangchang Ma,Xingwang Jiang,Guo-Hua Huang 국립중앙과학관 2024 Journal of Asia-Pacific Biodiversity Vol.17 No.1
A new species, Cephonodes sanshaensis Deng & Huang, sp. nov. is described from Xisha islands nearSansha City, China. Photographs of the adults and their genitalia are provided. The new species is similarto C. hylas (Linnaeus, 1771) and C. picus (Cramer, 1777) but can be easily distinguished by characters in themale genitalia: the right lobe of the uncus is hook-shaped with distinctly acute apex, the left valva is longand narrow with a truncate apex, and the right valva is broad and knife-shaped. Molecular analysis basedon cytochrome c oxidase I gene barcode sequences is used to infer the phylogenetic position of the newspecies within the genus Cephonodes. An updated key and checklist to the worldwide species of thegenus Cephonodes are also provided.
Jiang, Jun,Bai, Zi Long,Chen, Zhi Hui,He, Long,Zhang, David Wei,Zhang, Qing Hua,Shi, Jin An,Park, Min Hyuk,Scott, James F.,Hwang, Cheol Seong,Jiang, An Quan Nature Publishing Group, a division of Macmillan P 2018 NATURE MATERIALS Vol.17 No.1
Erasable conductive domain walls in insulating ferroelectric thin films can be used for non-destructive electrical read-out of the polarization states in ferroelectric memories. Still, the domain-wall currents extracted by these devices have not yet reached the intensity and stability required to drive read-out circuits operating at high speeds. This study demonstrated non-destructive read-out of digital data stored using specific domain-wall configurations in epitaxial BiFeO<SUB>3</SUB> thin films formed in mesa-geometry structures. Partially switched domains, which enable the formation of conductive walls during the read operation, spontaneously retract when the read voltage is removed, reducing the accumulation of mobile defects at the domain walls and potentially improving the device stability. Three-terminal memory devices produced 14 nA read currents at an operating voltage of 5 V, and operated up to T = 85 °C. The gap length can also be smaller than the film thickness, allowing the realization of ferroelectric memories with device dimensions far below 100 nm.
Xiao-Min Xiong,Shen-Hua Jiang,Guo-Yin Li 한국유전학회 2016 Genes & Genomics Vol.38 No.12
Fourteen novel miniature inverted-repeat transposable element (MITE) families are found in the Florida carpenter ant genome, Camponotus floridanus. They constitute approximately 0.63 % of the entire genome. Analysis of their insertion time showed that most members of these MITEs were inserted into their host genome in less than 8 million years ago. In addition, the association between MITEs and the noncoding regions of genes in C. floridanus is random. Interestingly, an autonomous partner (named CfTEC) responsible for the amplification of these MITEs was also found in C. floridanus. Meanwhile, we present evidence, based on searches of publicly available databases, that this autonomous element was widespread in animals. Moreover, structure and phylogenetic analyses supported that TECs might represent a novel cade of transposons intermediate between the classic CACTA transposon and TRCs. Finally, their transposition mechanism and impact on host genome evolution were also discussed.
Shui-Hua Jiang,Dian-Qing Li,Chuang-Bing Zhou,Li-Min Zhang 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.49 No.1
The stochastic response surface method (SRSM) and the response surface method (RSM) are often used for structural reliability analysis, especially for reliability problems with implicit performance functions. This paper aims to compare these two methods in terms of fitting the performance function, accuracy and efficiency in estimating probability of failure as well as statistical moments of system output response. The computational procedures of two response surface methods are briefly introduced first. Then their capabilities are demonstrated and compared in detail through two examples. The results indicate that the probability of failure mainly reflects the accuracy of the response surface function (RSF) fitting the performance function in the vicinity of the design point, while the statistical moments of system output response reflect the accuracy of the RSF fitting the performance function in the entire space. In addition, the performance function can be well fitted by the SRSM with an optimal order polynomial chaos expansion both in the entire physical and in the independent standard normal spaces. However, it can be only well fitted by the RSM in the vicinity of the design point. For reliability problems involving random variables with approximate normal distributions, such as normal, lognormal, and Gumbel Max distributions, both the probability of failure and statistical moments of system output response can be accurately estimated by the SRSM, whereas the RSM can only produce the probability of failure with a reasonable accuracy.