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| 1 | Human Cytomegalovirus Influences Host circRNA Transcriptions during Productive Infection显示文摘Human cytomegalovirus(HCMV)is a double-strand DNA virus widely infected in human.Circular RNAs(circ RNAs)are non-coding RNAs with most functions of which keep unknown,and the effects of HCMV productive infection on host circ RNA transcriptions remain unclear.In this study,we profiled 283 host circ RNAs that significantly altered by HCMV productive infection in human embryonic lung fibroblasts(HELF)by RNA deep sequencing and bioinformatics analysis.Among these,circ SP100,circ MAP3 K1,circ PLEKHM1,and circ TRIO were validated for their transcriptions and sequences.Furthermore,characteristics of circ SP100 were investigated by RT-q PCR and northern blot.It was implied that circ SP100 was produced from the sense strand of the SP100 gene containing six exons.Kinetics of circ SP100 and SP100 m RNA were significantly different after infection:circ SP100 levels increased gradually along with infection,whereas SP100 m RNA levels increased in the beginning and dropped at 24 h post-infection(hpi).Meanwhile,a total number of 257 proteins,including 10 HCMV encoding proteins,were identified potentially binding to cytoplasmic circ SP100 by RNA antisense purification(RAP)and mass spectrometry.Enrichment analysis showed these proteins were mainly involved in the spliceosome,protein processing,ribosome,and phagosome pathways,suggesting multiple functions of circ SP100 during HCMV infection. | Jingui Deng Yujing Huang Qing Wang Jianming Li Yanping Ma Ying Qi Zhongyang Liu Yibo Li Qiang Ruan | 2021 | Virologica Sinica2021，36，2： | 1 |
| 2 | CLGA Net:Cross Layer Gated Attention Network for Image Dehazing显示文摘In this paper,we propose an end-to-end cross-layer gated attention network(CLGA-Net)to directly restore fog-free images.Compared with the previous dehazing network,the dehazing model presented in this paper uses the smooth cavity convolution and local residual module as the feature extractor,combined with the channel attention mechanism,to better extract the restored features.A large amount of experimental data proves that the defogging model proposed in this paper is superior to previous defogging technologies in terms of structure similarity index(SSIM),peak signal to noise ratio(PSNR)and subjective visual quality.In order to improve the efficiency of decoding and encoding,we also describe a fusion residualmodule and conduct ablation experiments,which prove that the fusion residual is suitable for the dehazing problem.Therefore,we use fusion residual as a fixed module for encoding and decoding.In addition,we found that the traditional defogging model based on the U-net network may cause some information losses in space.We have achieved effective maintenance of low-level feature information through the cross-layer gating structure that better takes into account global and subtle features.We also present the application of our CLGA-Net in challenging scenarios where the best results in both quantity and quality can be obtained.Experimental results indicate that the present cross-layer gating module can be widely used in the same type of network. | Shengchun Wang Baoxuan Huang Tsz Ho Wong Jingui Huang Hong Deng | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 3 | Correction to:Human Cytomegalovirus Influences Host circRNA Transcriptions during Productive Infection显示文摘The information of affiliation 1 and 3 was incorrect.The information of affiliations should read as given below.Author information 1 Virology Lab,Shengjing Hospital of China Medical University,Shenyang 110004,China 2 Department of Laboratory,Central Hospital Affiliated to Shenyang Medical College,Shenyang 110024,China. | Jingui Deng Yujing Huang Qing Wang Jianming Li Yanping Ma Ying Qi Zhongyang Liu Yibo Li Qiang Ruan | 2021 | Virologica Sinica2021，36，2： | 0 |
| 4 | Channel Correlation Based User Grouping Algorithm for Nonlinear Precoding Satellite Communication System显示文摘Low Earth Orbit(LEO)multibeam satellites will be widely used in the next generation of satellite communication systems,whose inter-beam interference will inevitably limit the performance of the whole system.Nonlinear precoding such as Tomlinson-Harashima precoding(THP)algorithm has been proved to be a promising technology to solve this problem,which has smaller noise amplification effect compared with linear precoding.However,the similarity of different user channels(defined as channel correlation)will degrade the performance of THP algorithm.In this paper,we qualitatively analyze the inter-beam interference in the whole process of LEO satellite over a specific coverage area,and the impact of channel correlation on Signal-to-Noise Ratio(SNR)of receivers when THP is applied.One user grouping algorithm is proposed based on the analysis of channel correlation,which could decrease the number of users with high channel correlation in each precoding group,thus improve the performance of THP.Furthermore,our algorithm is designed under the premise of co-frequency deployment and orthogonal frequency division multiplexing(OFDM),which leads to more users under severe inter-beam interference compared to the existing research on geostationary orbit satellites broadcasting systems.Simulation results show that the proposed user grouping algorithm possesses higher channel capacity and better bit error rate(BER)performance in high SNR conditions relative to existing works. | Ke Wang Baorui Feng Jingui Zhao Wenliang Lin Zhongliang Deng Dongdong Wang Yi Cen Genan Wu | 2024 | China Communications2024，21，1： | 0 |
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