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| 1 | Genome-wide Dissection of Co-selected UV-B Responsive Pathways in the UV-B Adaptation of Qingke显示文摘Qingke (Tibetan hulless barley) has long been cultivated and exposed to long-term and strong UV-B radiation on the Tibetan Plateau, which renders it an ideal species for elucidating novel UV-B responsive mechanisms in plants. Here we report a comprehensive metabolite profiling and metabolite-based genome-wide association study (mGWAS) using 196 diverse qingke and barley accessions. Our results demonstrated both constitutive and induced accumulation, and common genetic regulation, of metabolites from different branches of the phenylpropanoid pathway that are involved in UV-B protection. A total of 90 significant mGWAS loci for these metabolites were identified in barley-qingke differentiation regions, and a number of high-level metabolite trait alleles were found to be significantly enriched in qingke, suggesting co-selection of various phenylpropanoids. Upon dissecting the entire phenylpropanoid pathway, we identified some key determinants controlling natural variation of phenylpropanoid content, including three novel proteins, a flavone C-pentosyltransferase, a tyramine hydroxycinnamoyl acyltransferase, and a MYB transcription factor. Our study, furthermore, demonstrated co-selection of both constitutive and induced phenylpropanoids for UV-B protection in qingke. | Xingquan Zeng Hongjun Yuan Xuekui Dong Meng Peng Xinyu Jing Qijun Xu Tang Tang Yulin Wang Sang Zha Meng Gao Congzhi Li Chujin Shu Zexiu Wei Wangmu Qimei Yuzhen Basang Jiabu Dunzhu Zeqing Li Lijun Bai Jian Shi Zhigang Zheng Sibin Yu Alisdair R.Fernie Jie Luo Tashi Nyima | 2020 | Molecular Plant2020，13，1： | 9 |
| 2 | Memristor bridge-based low pass filter for image processing显示文摘This paper highlights the memristor bridge-based lowpass filter (LPF) and improved image processing algorithms along with a novel adaptive Gaussian filter for denoising image and a new Gaussian pyramid for scale invariant feature transform (SIFT). First, a novel kind of LPF based on the memristor bridge is designed, whose cut-off frequency and other traits are demonstrated to change with different time and memristance. In light of the changeable parameter of the memristor bridge-based LPF, a new adaptive Gaussian filter and an improved SIFT algorithm are presented. Finally, experiment results show that the peak signalto- noise ratio (PSNR) of our denoising is bettered more than 2.77 dB compared to the corresponding of the traditional Gaussian filter, and our improved SIFT performances including the number of matched feature points and the percent of correct matches are higher than the traditional SIFT, which verifies feasibility and effectiveness of our algorithm. | YU Yongbin YANG Nijing YANG Chenyu NYIMA Tashi | 2019 | Journal of Systems Engineering and Electronics2019，30，3： | 4 |
| 3 | Memristive network-based genetic algorithm and its application to image edge detection显示文摘This paper proposes a mem-computing model of memristive network-based genetic algorithm(MNGA)by building up the relationship between the memristive network(MN)and the genetic algorithm(GA),and a new edge detection algorithm where image pixels are defined as individuals of population.First,the computing model of MNGA is designed to perform mem-computing,which brings new possibility of the hardware implementation of GA.Secondly,MNGA-based edge detection integrating image filter and GA operator deployed by MN is proposed.Finally,simulation results demonstrate that the figure of merit(FoM)of our model is better than the latest memristor-based swarm intelligence.In summary,a new way is found to build proper matching of memristor to GA and aid image edge detection. | YU Yongbin YANG Chenyu DENG Quanxin NYIMA Tashi LIANG Shouyi ZHOU Chen | 2021 | Journal of Systems Engineering and Electronics2021，32，5： | 2 |
| 4 | A Survey about Algorithms Utilized by Focused Web Crawler显示文摘Focused crawlers(also known as subjectoriented crawlers),as the core part of vertical search engine,collect topic-specific web pages as many as they can to form a subject-oriented corpus for the latter data analyzing or user querying.This paper demonstrates that the popular algorithms utilized at the process of focused web crawling,basically refer to webpage analyzing algorithms and crawling strategies(prioritize the uniform resource locator(URLs) in the queue).Advantages and disadvantages of three crawling strategies are shown in the first experiment,which indicates that the best-first search with an appropriate heuristics is a smart choice for topic-oriented crawling while the depth-first search is helpless in focused crawling.Besides,another experiment on comparison of improved ones(with a webpage analyzing algorithm added) is carried out to verify that crawling strategies alone are not quite efficient for focused crawling and in most cases their mutual efforts are taken into consideration.In light of the experiment results and recent researches,some points on the research tendency of focused crawler algorithms are suggested. | Yong-Bin Yu Shi-Lei Huang Nyima Tashi Huan Zhang Fei Lei Lin-Yang Wu | 2018 | Journal of Electronic Science and Technology2018，16，2： | 0 |
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