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| 1 | Asmart node architecture for adding mobility to wireless sensornetworks显示文摘 | SONG Guangming ZHOU Yaoxin WEI Zhigang | 2008 | Sensors and Actuators A:Physical2008，147，1： | 1 |
| 2 | A mobile sensor network system for monitoring of unfriendly environments显示文摘 | SONG Guangming ZHOU Yaoxin DING Fei | 2008 | Sensors2008，8，11： | 1 |
| 3 | Revealing the roles of TLR7, a nucleic acid sensor for COVID-19 in pan-cancer显示文摘Recent studies suggested that cancer was a risk factor for coronavirus disease 2019 (COVID-19). Toll-like receptor 7 (TLR7), a severe acute respiratory syndrome 2 (SARS-CoV-2) virus’’s nucleic acid sensor, was discovered to be aberrantly expressed in many types of cancers. However, its expression pattern across cancers and association with COVID-19 has not been systematically studied. In this study, we proposed a computational framework to comprehensively study the roles of TLR7 in COVID-19 and pan-cancers at genetic, gene expression, protein, epigenetic, and single-cell levels. We found TLR7 mRNA expression was significantly up-regulated in 6 cancer types and down-regulated in 6 cancer types, further validated in the HPA database at the protein level. The genes significantly co-expressed with TLR7 were mainly enriched in the toll-like receptor signaling pathway, endolysosome, and signaling pattern recognition receptor activity. In addition, the abnormal TLR7 expression was associated with Mismatch repair (MMR), microsatellite instability (MSI), tumor mutational burden (TMB) in various cancers. Mined by the ESTIMATE algorithm, the expression of TLR7 was also closely linked to various immune infiltration patterns in pan-cancer, and TLR7 was mainly enriched in macrophages, as revealed by single-cell RNA sequencing. Finally, TLR7 expressions were very sensitive to a few targeted drugs, such as Alectinib and Imiquimod. In conclusion, TLR7 might be essential in the pathogenesis of COVID-19 and cancers. | Zhijian Huang Yaoxin Gao Yuanyuan Han Jingwen Yang Can Yang Shixiong Li Decong Zhou Qiuyan Huang Jialiang Yang | 2023 | Biosafety and Health2023，5，4： | 0 |
| 4 | Analysis of Genetic Evolution of Escherichia fergusonii显示文摘[Objectives]This study was conducted to explore the genetic evolution of Escherichia fergusonii in different countries and regions,and to clarify the genetic relationship of E.fergusonii in different countries and regions.[Methods]Bioinformatics method and bacterial 16 S rRNA sequencing technology were used to sort out and prune 16 S rRNA genes isolated in laboratory and searched in NCBI database to construct a molecular evolutionary tree for analysis and comparison.[Results]The direction of evolution of E.fergusonii has broken through regions,and there was cross evolution among continents.The origin of E.fergusonii was the Asian continent,and its adaptability to arid climate was not strong.[Conclusions]This study revealed the genetic evolution laws of E.fergusonii in the spread and mutation of livestock and poultry diseases,and provides a theoretical reference for the prevention and treatment of the disease. | Junhua LIU Yilian ZHOU Yaoxin CUI Yanfei LIU Jiande YANG | 2020 | Agricultural Biotechnology2020，9，5： | 0 |
| 5 | Multi-rate principal component regression model forsoft sensor application in industrial processes显示文摘Dear editor,For obtaining the accurate and timely information from the modern process industries,an increasing number of online hardware sensors are equipped for process monitoring and control,energy management and environmental protection purpose[1,2].However,some key variables of the process cannot be measured by these online sensors,which requires the off-line laboratory analysis.For solving these problems,an inferential model called soft sensor is usually utilized[3]. | Le ZHOU Yaoxin WANG Zhiqiang GE | 2020 | Science China(Information Sciences)2020，63，4： | 0 |
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