http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Liu Hongzhan (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
Fengrong Zheng,Hongzhan Liu,Zhen Shen,Qing Li,Yongqiang Zhang,Bo Wang 한국유전학회 2017 Genes & Genomics Vol.39 No.7
The Pseudopleuronectes yokohamae (marbled flounder) features one of the most commercially important marine fishes in P.R. China. Previous studies were mainly focused on the biology and genetic breeding of the fish, little have been reported about the molecular mechanism of its reproduction. In this study, we used second generation Illumina sequencing to investigate the genes of Pseudopleuronectes yokohamae that regulate gonadal development and obtained 40,882 unigenes from the hypothalamus and pituitary samples of the fish at maturation and regression phases. Homogonous sequences of 29,129 unigenes (71.25 %) were identified and 308 unigenes among which were associated with the regulation of reproductive endocrine. These genes are a very useful resource for future studies of P.yokohamae. All unigenes with eggNog annotations were divided into 26 categories that are mostly involved in signal transduction, translation mechanism, physiological and biochemical processes, etc. Based on KEGG analysis, all unigenes expressed at the maturation phase were involved in 107 metabolic pathways, with 184 up-regulated sequences, while the unigenes expressed at the regression phase were related to 210 metabolic pathways, with 858 up-regulated sequences. Additionally, the quantitative real-time PCR results indicated that follicle stimulating hormone and prolactin-releasing peptide receptor are highly expression at the regression phase, while growth hormone releasing hormone, kisspeptin, gonadotropin and insulin growth-like factors expressed higher at the maturation phase. This study provides valuable data for better understanding the transcriptome profiles of marbled flounder and may help to improve artificial reproduction technologies of the fish.
-
Jian Pan,Huijian Zhang,Hongzhan Guo,Sunde Liu,Yuqing Liu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.5
This paper focuses on the identification of a multivariable controlled autoregressive-like (CAR-like) system. A joint identification algorithm of stochastic gradient and least squares is deduced for estimating the system parameters by decomposing the multivariable CAR-like system into two subsystems, which avoids the calculation of the matrix inversion. To further improve the parameter estimation accuracy, a joint identification algorithm of hierarchical multi-innovation stochastic gradient and least squares is proposed by using the multi-innovation identification theory. The simulation results confirm that these proposed algorithms are effective.
-
Shunlong Li,Xin Wang,Hongzhan Liu,Yi Zhuo,Wei Su,Hao Di 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.5
Dynamic deflection monitoring is an essential and critical part of structural health monitoring for high-speed railway bridges. Two critical problems need to be addressed when using inclinometer sensors for such applications. These include constructing a general representation model of inclination-deflection and addressing the ill-posed inverse problem to obtain the accurate dynamic deflection. This paper provides a dynamic deflection monitoring method with the placement of optimal inclinometer sensors for high-speed railway bridges. The deflection shapes are reconstructed using the inclination-deflection transformation model based on the differential relationship between the inclination and displacement mode shape matrix. The proposed optimal sensor configuration can be used to select inclination-deflection transformation models that meet the required accuracy and stability from all possible sensor locations. In this study, the condition number and information entropy are employed to measure the ill-condition of the selected mode shape matrix and evaluate the prediction performance of different sensor configurations. The particle swarm optimization algorithm, genetic algorithm, and artificial fish swarm algorithm are used to optimize the sensor position placement. Numerical simulation and experimental validation results of a 5-span high-speed railway bridge show that the reconstructed deflection shapes agree well with those of the real bridge.
-
Guohua Wu,He Zhou,Tonggang Zhao,Hongzhan Liu,Zhengda Li,Xin Zhao 한국물리학회 2014 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.64 No.6
A model for electromagnetic multi-Gaussian Schell-model beams is introduced. An analyticalexpression for the cross-spectral density matrix of electromagnetic multi-Gausssian Schell-model(EMGSM) beams propagating through non-Kolmogorov turbulence is derived based on the extendedHuygens-Fresnel principle. With help of this expression, the average intensity, degree of coherence(DOC) and degree of polarization (DOP) of EMGSM beams are investigated in detail. Our resultsshow that by suitable choices of the source parameters, the distance that preserve a flat profile canbe prolonged. The effects of M and exponent value on DOC and DOP of EMGSM beams arestudied in detail.
-
Li Chaoqiong,Hu Lizong,Que Beibei,Hu Yueran,Guo Yuanyuan,Zhang Minghui,Wang Zenan,Wang Xueqin,Liu Hongzhan,Wang Junsheng,Tian Huihui,Li Xiaoli 한국유전학회 2021 Genes & Genomics Vol.43 No.8
Background Paeonia ostii seeds were identifed as novel sources of edible plant oil with a high proportion of α-linolenic acid, a type of n-3 fatty acid with many health benefts. Due to the unreliability of seed oil content and quality, it is necessary to discover the mechanism underlying lipid biosynthesis in Paeonia ostii seeds. Objectives This study aimed to identify the key genes involved in lipid biosynthesis in Paeonia ostii seeds by analyzing the relationship among the seed characteristics and the expression patterns of lipid genes in Paeonia ostii during seed development. Methods Preliminary research on Paeonia ostii seed development was carried out from 10 days after pollination until maturity, focusing on phenology, oil content and lipid profles. In addition, we investigated the spatiotemporal expression of 36 lipid biosynthetic genes in Paeonia ostii by using quantitative real-time PCR. Results The results suggested that the development of Paeonia ostii seeds from pollination to maturity could be divided into three periods. The 36 lipid genes showed various spatiotemporal expression patterns and fve gene groups with distinct temporal patterns during seed development were identifed by clustering analysis of expression data. Furthermore, the relationships between gene expression and lipid/fatty acid accumulation and some candidate key lipid genes were discussed. Conclusions This study provided the global patterns of fatty acid and lipid biosynthesis-related gene expression, which are critical to understanding the molecular basis of lipid biosynthesis and identifying the lipid accumulation rate-limiting genes during seed development.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
