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6篇 您的检索式:作者名="Chunmei Mo"
    题名 作者 年代 出处 被引量
1Overview and countermeasures of cancer burden in China显示文摘Cancer is one of the leading causes of human death worldwide.Treatment of cancer exhausts significant medical resources,and the morbidity and mortality caused by cancer is a huge social burden.Cancer has therefore become a serious economic and social problem shared globally.As an increasingly prevalent disease in China,cancer is a huge challenge for the country’s healthcare system.Based on recent data published in the Journal of the National Cancer Center on cancer incidence and mortality in China in 2016,we analyzed the current trends in cancer incidence and changes in cancer mortality and survival rate in China.And also,we examined several key risk factors for cancer pathogenesis and discussed potential countermeasures for cancer prevention and treatment in China.Yian Wang Qijia Yan Chunmei Fan Yongzhen Mo Yumin Wang Xiayu Li Qianjin Liao Can Guo Guiyuan Li Zhaoyang Zeng Wei Xiong He Huang 2023Science China(Life Sciences)2023,66,11:5
2Simulation and Analysis on Overtaking Safety Assistance System Based on Vehicle-to-Vehicle Communication显示文摘Because of the complexity and variability of an intelligent vehicle’s driving environment,it is difficult for the application of the vehicular sensors to meet the needs of the surrounding environment information entirely.Vehicle-to-vehicle(V2V)communication technology is used by target vehicles to exchange information,and obtain the driving condition and driving intention of the front driver.To obtain environmental information outside the range of vehicular sensors in advance,in this paper,a vehicle overtaking assistance system is proposed based on V2V communication.The data,including the speed,position,direction angle and steering angle obtained using V2V communication,were preliminarily processed.Then,combined with an overtaking safety distance model,the vehicle parameters,driver’s driving intention and vehicle status information were entered into an overtaking security assistance system to determine the overtaking conditions.Fuzzy theory was used to control the parameters of the overtaking safety distance model.Finally,the overtaking safety assistance system was established and the proposed algorithm was tested using PreScan/MATLAB cooperative simulation software.The results showed that the proposed overtaking safety algorithm effectively provided a warning according to environmental change and the driver’s intention,which assisted the driver to overtake and avoid the occurrence of accidents,which improved the safety performance of the vehicle.Chunmei Mo Yinong Li Ling Zheng 2018Automotive Innovation2018,1,2:4
3Circular RNA circCCNB1 inhibits the migration and invasion of nasopharyngeal carcinoma through binding and stabilizing TJP1 mRNA显示文摘Nasopharyngeal carcinoma(NPC)is a malignant tumor that usually occurs in people from Southeast Asia and Southern China.NPC is prone to migration and invasion,leading to poor prognosis.A large number of circular RNAs(circ RNAs)exacerbate the process of metastasis in NPC;however,their underlying mechanisms remain unclear.We found that the circular RNA circ CCNB1,encoded by the oncogene CCNB1,was downregulated in NPC biopsies and cell lines.In vitro assays show that circ CCNB1 inhibits NPC cell migration and invasion.Moreover,circ CCNB1 induces a protein,nuclear factor 90(NF90),to bind and prolong the half-life of tight junction protein 1(TJP1)m RNA.Upregulation of TJP1 enhances tight junctions between cancer cells and inhibits NPC cell migration and invasion.This study reveals a novel biological function of circ CCNB1 in the migration and invasion of NPC by enhancing the tight junctions of cancer cells by binding to NF90 proteins and TJP1 m RNA,and may provide a potential therapeutic target for NPC.Mengyao Zhao Yian Wang Fenghua Tan Lingyun Liu Xiangchan Hou Chunmei Fan Le Tang Yongzhen Mo Yumin Wang Qijia Yan Zhaojian Gong Zheng Li Qianjin Liao Can Guo He Huang Xi Zeng Guiyuan Li Zhaoyang Zeng Wei Xiong Fuyan Wang 2022Science China(Life Sciences)2022,65,11:4
4Decoy-state measurement-device-independent quantum key distribution with mismatched-basis statistics显示文摘Measurement-device-independent quantum key distribution(MDI-QKD) is aimed at removing all detector side channel attacks,while its security relies on the assumption that the encoding systems including sources are fully characterized by the two legitimate parties. By exploiting the mismatched-basis statistics in the security analysis, MDI-QKD even with uncharacterized qubits can generate secret keys. In this paper, considering the finite size effect, we study the decoy-state MDI-QKD protocol with mismatchedbasis events statistics by performing full parameter optimization, and the simulation result shows that this scheme is very practical.ZHANG ChunMei LI Mo YIN ZhenQiang LI HongWei CHEN Wei HAN ZhengFu 2015Science China(Physics,Mechanics & Astronomy)2015,58,9:1
5Anti-fatigue Effect of Water Extract from Centella asiatica(L.)Urban on Mice显示文摘[Objectives]To study the anti-fatigue effect of water extract from Centella asiatica(L.)Urban on mice.[Methods]After intragastric administration of low,medium and high concentration of water extract from Centella asiatica(L.)Urban for 14 d,the rotarod time and the content of serum lactic acid in mice were determined,respectively.[Results]Compared with the control group,the rotarod time of mice in the low and medium concentration groups was significantly prolonged(P<0.05),but there was no significant difference between the control group and the high concentration group;the content of serum lactic acid in the medium concentration group was significantly lower than that in the control group(P<0.01),but there was no significant difference between low concentration group and high concentration group and the control group.[Conclusions]A certain concentration of water extract from Centella asiatica(L.)Urban had a good anti-fatigue effect.Chunmei MO Jinye LIN Yanfang MA Jiajie ZHOU Ling LIANG Nian LIN Suoyi HUANG Gang XIAO 2023Medicinal Plant2023,14,1:0
6Alternative splicing of POUM2 regulates embryonic cuticular formation and tanning in Bombyx mori显示文摘Insect cuticle is an apical extracellular matrix produced by the epidermis,tracheal,hind-and foregut epithelia during embryogenesis and renewed during molting and metamorphosis.However,the underlying regulatory mechanism for embryonic cuticle formation remains largely unclear.Here,we investigate the function of the transcription factor POUM2 in the embryonic cuticular formation in Bombyx mori,a model lepidopteran insect.Clustered regularly interspaced palindromic repeats(CRISPR)/CRISPR-associated protein-9-mediated knockout of POUM2 resulted in the defect of cuticular deposition,pigmentation,and sclerotization in the embryos.Differentially expressed transcripts analysis of 7-d-old embryos identified 174 up-or downregulated cuticular protein transcripts,8 upregulated chitin degradation transcripts,2 downregulated chitin synthesis transcripts and 48 up-or downregulated transcription factor transcripts in the POUM2−/−embryos.The expression levels of the key factors of the tyrosine metabolic pathway,such as tyrosine hydroxylase(Th),Dopa decarboxylase(DDC),and arylalkylamine N-acetyltransferase(aaNAT),were significantly decreased in the POUM2−/−embryos.POUM2 isoform POUM2-L specifically bound the POU cis-regulatory element(CRE)in the Th promoter and increased the transcription of Th,whereas POUM2-S could not bind the POU CRE,although it also increased the transcription of Th.Heterogeneous nuclear ribonucleoprotein Squid-1 directly bound the POUM2 pre-mRNA(messenger RNA)and inhibited the alternative splicing of POUM2-L to POUM2-S mRNA.These results suggest that POUM2 participates in the cuticular formation by regulating the chitin and cuticular protein synthesis and metabolism,and the cuticular pigmentation and sclerotization by regulating tyrosine metabolism during embryogenesis.This study provides new insights into novel function of POUM2 in embryogenesis.Chunmei Tong Kang Zhang Zixia Rong Wanyu Mo Yuling Peng Sichun Zheng Qi-Li Feng Huimin Deng 2023Insect Science2023,30,5:0
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