In this paper, the asymptotic sum rate of a multi-user distributed antenna system （DAS） is analyzed. To mitigate inter-user interference, minimum mean squared error （MMSE） receivers are utilized to cooperatively p...In this paper, the asymptotic sum rate of a multi-user distributed antenna system （DAS） is analyzed. To mitigate inter-user interference, minimum mean squared error （MMSE） receivers are utilized to cooperatively process received signals in the uplink. It shows that inter-user interference is efficiently mitigated and the uplink sum rate of a multi-user DAS is greatly improved by adopting MMSE receivers. For very large number of users and remote antennas, the asymptotic uplink sum rate of MMSE receivers is derived by using virtue of the random matrix theory, which can be The approximation is verified to be quite accurate by Monte Carlo simply calculated in an iterative way simulations.展开更多
目的验证基于基质辅助激光解析电离飞行时间质谱(MALDI-TOF MS)技术的B组链球菌(Group B streptococcus,GBS)在线血清型预测模型的分型效能,为临床GBS菌血清型快速分型提供参考。方法选取2015至2018年全国多中心新生儿侵袭感染分离GBS菌...目的验证基于基质辅助激光解析电离飞行时间质谱(MALDI-TOF MS)技术的B组链球菌(Group B streptococcus,GBS)在线血清型预测模型的分型效能,为临床GBS菌血清型快速分型提供参考。方法选取2015至2018年全国多中心新生儿侵袭感染分离GBS菌237株,均已经应用血清凝集试验结合PCR法确认血清型和多重PCR法多位点序列分型(MLST),包括Ⅰa型18株、Ⅰb型70株、Ⅲ型140株、Ⅴ型8株、Ⅵ型1株。运用乙醇灭活-甲酸(乙腈)提取法提取蛋白,用微生物质谱仪采集蛋白指纹图谱,将图谱以m/z和峰强度数据格式输入GBSTyper,以传统血清凝集法血清型为金标准,采用召回率、精确率、F值(精确率和召回率的调和平均值)来评价GBSTyper分型效果。结果GBSTyper对120株(50.63%)GBS菌血清型分型正确,各血清型召回率从高到低依次为Ⅲ型(71.43%)、Ⅴ型(37.50%)、Ⅰb型(21.43%)、Ⅰa型(11.11%),Ⅲ型精确率最高(86.96%),血清型分型精确率仅为3.57%~46.88%,Ⅲ型F值最高(78.43%),Ⅰa、Ⅰb、Ⅴ型等F值仅为6.52%~29.41%。结论GBSTyper血清型快速分型模型对Ⅲ型血清型菌株分型有效性较高,而对Ⅰa、Ⅰb、Ⅴ型分型有效性很低。该模型能快速识别高危Ⅲ型GBS,对于围产期新生儿GBS感染预防及患儿的临床管理有重要指导意义。展开更多
文摘In this paper, the asymptotic sum rate of a multi-user distributed antenna system （DAS） is analyzed. To mitigate inter-user interference, minimum mean squared error （MMSE） receivers are utilized to cooperatively process received signals in the uplink. It shows that inter-user interference is efficiently mitigated and the uplink sum rate of a multi-user DAS is greatly improved by adopting MMSE receivers. For very large number of users and remote antennas, the asymptotic uplink sum rate of MMSE receivers is derived by using virtue of the random matrix theory, which can be The approximation is verified to be quite accurate by Monte Carlo simply calculated in an iterative way simulations.
文摘目的验证基于基质辅助激光解析电离飞行时间质谱(MALDI-TOF MS)技术的B组链球菌(Group B streptococcus,GBS)在线血清型预测模型的分型效能,为临床GBS菌血清型快速分型提供参考。方法选取2015至2018年全国多中心新生儿侵袭感染分离GBS菌237株,均已经应用血清凝集试验结合PCR法确认血清型和多重PCR法多位点序列分型(MLST),包括Ⅰa型18株、Ⅰb型70株、Ⅲ型140株、Ⅴ型8株、Ⅵ型1株。运用乙醇灭活-甲酸(乙腈)提取法提取蛋白,用微生物质谱仪采集蛋白指纹图谱,将图谱以m/z和峰强度数据格式输入GBSTyper,以传统血清凝集法血清型为金标准,采用召回率、精确率、F值(精确率和召回率的调和平均值)来评价GBSTyper分型效果。结果GBSTyper对120株(50.63%)GBS菌血清型分型正确,各血清型召回率从高到低依次为Ⅲ型(71.43%)、Ⅴ型(37.50%)、Ⅰb型(21.43%)、Ⅰa型(11.11%),Ⅲ型精确率最高(86.96%),血清型分型精确率仅为3.57%~46.88%,Ⅲ型F值最高(78.43%),Ⅰa、Ⅰb、Ⅴ型等F值仅为6.52%~29.41%。结论GBSTyper血清型快速分型模型对Ⅲ型血清型菌株分型有效性较高,而对Ⅰa、Ⅰb、Ⅴ型分型有效性很低。该模型能快速识别高危Ⅲ型GBS,对于围产期新生儿GBS感染预防及患儿的临床管理有重要指导意义。
