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PLC-RF无线传输网络中的能效最优设计方法 被引量:1
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作者 蒋跃宇 承昊新 +2 位作者 王康 戴文骏 刘笑宇 《电信科学》 2023年第4期111-119,共9页
针对电力线通信(PLC)和射频(RF)无线通信混合传输的室内通信场景,提出了一种基于角度信息的信道状态信息(AI-CSI)的能效优先传输方案。首先,Wi-Fi无线网络和PLC网络分别作为主网络和次级网络,并且采用认知无线电技术来提高频谱效率的情... 针对电力线通信(PLC)和射频(RF)无线通信混合传输的室内通信场景,提出了一种基于角度信息的信道状态信息(AI-CSI)的能效优先传输方案。首先,Wi-Fi无线网络和PLC网络分别作为主网络和次级网络,并且采用认知无线电技术来提高频谱效率的情况下,建立次级网络总能效最大化为目标函数的优化问题。其次,为了求解该问题,通过基于AI-CSI的迫零波束成形方法,获得波束成形权矢量,并进一步提出Dinkelbach与拉格朗日乘子法相结合的优化方法,进行最优的功率分配。最后,计算机仿真结果不仅验证了所提方案的有效性和优越性,而且分析了中继天线数和用户个数等典型参数对系统能效带来的影响,从而为实际系统设计提供了参考和依据。 展开更多
关键词 电力线通信 射频无线通信 认知无线电 统计信道信息 能量效率
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Etiological characteristics of influenza-like illness in Jiangsu province from 2012 to 2016
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作者 Ke Xu Xiang Huo +15 位作者 Rongqiang Zu Shenjiao Wang Yuanfang Qin Qigang dai Xian Qi Huiyan Yu Lilin Chen Lei Hong Yangting Xu Qianhua Yi Weixiang Wang Xuan Wang wenjun dai Jie Zha Weining Han Changjun Bao 《The Journal of Biomedical Research》 CAS CSCD 2019年第6期398-407,共10页
Influenza-like illness(ILI)is an acute respiratory infection caused by various pathogens.However,the epidemiologic characteristics of ILI pathogens in Jiangsu province are unclear.To better understand the ILI etiology... Influenza-like illness(ILI)is an acute respiratory infection caused by various pathogens.However,the epidemiologic characteristics of ILI pathogens in Jiangsu province are unclear.To better understand the ILI etiology,the characteristics of the pathogens from nasopharyngeal swab samples of patients with ILI collected from 2012 to 2016 in 6 hospitals in Jiangsu province were studied.The pathogens,including influenza virus,respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),herpes simplex virus(HSV),human coronavirus(hCoV),Streptococcus pneumoniae and Haemophilus influenzae,were detected by real-time PCR.At least one pathogen was identified in 1334 of the patients(40.23%).Among viruses,HRV,influenza A virus(Flu A),ADV and RSV were the most frequently detected.ADV was the only pathogen that was distributed evenly in different years and regions(P>0.05).The etiological distribution varied in different age groups.Streptococcus pneumoniae was the most common pathogen in co-infections with a co-detection rate of 64.57%(319/494).The spectrum of etiologies could help to estimate disease burden and provide guidance for vaccination. 展开更多
关键词 influenza-like illness PATHOGENS CO-INFECTION DISTRIBUTION
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Chemotactic nanomotor for multimodal combined therapy of glioblastoma
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作者 Ting Li Lin Chen +8 位作者 Yunxin Xue Xiangyu Xiao wenjun dai Kaiyuan Tan Tiantian Chen Yingfang Tao Chun Mao Jian Shen Mimi Wan 《Science China Chemistry》 SCIE EI CAS CSCD 2024年第4期1277-1288,共12页
Glioblastoma(GBM) is the most aggressive malignant brain tumor. Due to the infiltration and heterogeneity of GBM, the obstruction of the blood-brain barrier(BBB) and the unique immunosuppressive mechanism, it is hard ... Glioblastoma(GBM) is the most aggressive malignant brain tumor. Due to the infiltration and heterogeneity of GBM, the obstruction of the blood-brain barrier(BBB) and the unique immunosuppressive mechanism, it is hard to achieve significant effects of GBM treatment. Here, a kind of chemotactic nanomotor that loaded with glucose oxidase(GOx) and carboxylated cisplatin(Pt(IV)) prodrug on the L-arginine-derived polymer is proposed. The nanomotors are driven by catalysis of glucose decomposition and the positive chemotaxis towards the GBM microenvironment where inducible nitric oxide synthase and reactive oxygen species are highly expressed. This facilitates the BBB crossing and GBM targeting of the nanomotors. In addition, the released nitric oxide(NO) during propulsion as well as the loaded GOx and Pt(IV) can exert combined NO/starvation/chemotherapy. Meanwhile, it is able to induce and enhance the immune response through multiple pathways, thus better coping with the complexities of GBM treatment. 展开更多
关键词 CHEMOTAXIS combined therapy GLIOBLASTOMA NANOMOTORS
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