We design proposals to generate a remote Greenberger-Horne-Zeilinger（GHZ） state and a W state of nitrogenvacancy（NV） centers coupled to microtoroidal resonators（MTRs） through noisy channels by utilizing time-bin...We design proposals to generate a remote Greenberger-Horne-Zeilinger（GHZ） state and a W state of nitrogenvacancy（NV） centers coupled to microtoroidal resonators（MTRs） through noisy channels by utilizing time-bin encoding processes and fast-optical-switch-based polarization rotation operations.The polarization and phase noise induced by noisy channels generally affect the time of state generation but not its success probability and fidelity.Besides,the above proposals can be generalized to n-qubit between two or among n remote nodes with success probability unity under ideal conditions.Furthennore,the proposals are robust for regular noise-changeable channels for the n-node case.This method is also useful in other remote quantum information processing tasks through noisy channels.展开更多
目的本文以大学附属教学医院的卒中急救绿色通道培训医师为主要研究对象,旨在提高新进医疗岗位医师的学习效率,改善临床工作的多种质控指标。方法设计多元化教学方法,包括临床案例式协作教学法、基于问题教学法、翻转课堂、一带一学习...目的本文以大学附属教学医院的卒中急救绿色通道培训医师为主要研究对象,旨在提高新进医疗岗位医师的学习效率,改善临床工作的多种质控指标。方法设计多元化教学方法,包括临床案例式协作教学法、基于问题教学法、翻转课堂、一带一学习、情景模拟及临床疗效反馈等,以一家教学医院区域性高级卒中中心的绿色通道患者和医师为调查对象,收集多环节时间点的质控指标以及教学互评反馈来评价教学效果。结果纳入2021年6月—2023年7月急诊卒中绿色通道诊疗环节中符合条件的患者194例,其中接受单纯静脉溶栓治疗者171例(88.14%),桥接治疗或者直接机械取栓者23例(11.86%),纳入观察学员为低年资住院医师10名,高年资住院医师5名。培训前收治患者88例(45.36%),培训后收治患者106例(54.64%),人口学基线特征差异无统计学意义。中位入院至静脉溶栓时间(door-to-needle time,DNT)缩短了4 min(44 min vs.48 min,P=0.150),DNT≤60 min比例分别为73.86%、65.09%(P=0.188)。培训后,中位知情同意谈话时间缩短了3.5 min(6.5 mi n vs.10 min,P=0.001);溶栓相关出血事件减少(培训前:牙龈出血1例,硬膜下血肿1例,消化道出血1例;培训后:无相关事件);大血管闭塞患者血管内治疗比例提升(16.98%vs.5.68%,P=0.015)。高年资与低年资住院医师对多元化教学模式绿色通道教学方法的认可度、对绿色通道学习方式的兴趣程度、病例质控环节提升满意度、影像库对解决问题适配度、文献指南库对解决问题适配度和自我学习能力提升6个方面的满意度相当,差异均无统计学意义。结论多元化培训方案可以提高绿色通道医师的卒中急救应对能力、谈话沟通技能及诊疗水平,改善工作质量和教学满意度,而且对低年资和高年资住院医师的临床学习均有帮助。展开更多
Synthetic aperture radar （SAR） systems have become an important tool for fine-resolution mapping and other remote sensing operations. The multi-channel SAR ground moving-target indication （GMTI） must process its d...Synthetic aperture radar （SAR） systems have become an important tool for fine-resolution mapping and other remote sensing operations. The multi-channel SAR ground moving-target indication （GMTI） must process its data to produce not only the image of surveillance area but also the information of the ground moving-targets. The topic of moving-target detection in clutter has been extensively studied, and there are many methods that are used to detect moving targets, such as displaced phase center antenna （DPCA） method, along-track interfero-metric （ATI） phase, space-time adaptive processing （STAP）, or some other metrics. A canonical framework is proposed that encompasses all the multi-channel SAR-GMT methods, namely, DPCA and ATI. The statistical test metric for multi-channel SAR-GMTI is established in a simple form, via the definition of the complex central Wishart distribution, to deduce the statistics of the test metric, and the probability distribution of the test metric for multichannel SAR-GMTI has the complex central Wishart distribution of 1×1 case, namely the X^2 distribution. The theory foundation offers the possibility to construct the united multi-channel SAR-GMTI detector, and derives the constant false alarm rate （CFAR） detector tests for separating moving targets from clutter.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.11264042,61465013,11465020,and 11165015)the Program for Chun Miao Excellent Talents of Jilin Provincial Department of Education(Grant No.201316)the Talent Program of Yanbian University of China(Grant No.950010001)
文摘We design proposals to generate a remote Greenberger-Horne-Zeilinger（GHZ） state and a W state of nitrogenvacancy（NV） centers coupled to microtoroidal resonators（MTRs） through noisy channels by utilizing time-bin encoding processes and fast-optical-switch-based polarization rotation operations.The polarization and phase noise induced by noisy channels generally affect the time of state generation but not its success probability and fidelity.Besides,the above proposals can be generalized to n-qubit between two or among n remote nodes with success probability unity under ideal conditions.Furthennore,the proposals are robust for regular noise-changeable channels for the n-node case.This method is also useful in other remote quantum information processing tasks through noisy channels.
文摘目的本文以大学附属教学医院的卒中急救绿色通道培训医师为主要研究对象,旨在提高新进医疗岗位医师的学习效率,改善临床工作的多种质控指标。方法设计多元化教学方法,包括临床案例式协作教学法、基于问题教学法、翻转课堂、一带一学习、情景模拟及临床疗效反馈等,以一家教学医院区域性高级卒中中心的绿色通道患者和医师为调查对象,收集多环节时间点的质控指标以及教学互评反馈来评价教学效果。结果纳入2021年6月—2023年7月急诊卒中绿色通道诊疗环节中符合条件的患者194例,其中接受单纯静脉溶栓治疗者171例(88.14%),桥接治疗或者直接机械取栓者23例(11.86%),纳入观察学员为低年资住院医师10名,高年资住院医师5名。培训前收治患者88例(45.36%),培训后收治患者106例(54.64%),人口学基线特征差异无统计学意义。中位入院至静脉溶栓时间(door-to-needle time,DNT)缩短了4 min(44 min vs.48 min,P=0.150),DNT≤60 min比例分别为73.86%、65.09%(P=0.188)。培训后,中位知情同意谈话时间缩短了3.5 min(6.5 mi n vs.10 min,P=0.001);溶栓相关出血事件减少(培训前:牙龈出血1例,硬膜下血肿1例,消化道出血1例;培训后:无相关事件);大血管闭塞患者血管内治疗比例提升(16.98%vs.5.68%,P=0.015)。高年资与低年资住院医师对多元化教学模式绿色通道教学方法的认可度、对绿色通道学习方式的兴趣程度、病例质控环节提升满意度、影像库对解决问题适配度、文献指南库对解决问题适配度和自我学习能力提升6个方面的满意度相当,差异均无统计学意义。结论多元化培训方案可以提高绿色通道医师的卒中急救应对能力、谈话沟通技能及诊疗水平,改善工作质量和教学满意度,而且对低年资和高年资住院医师的临床学习均有帮助。
基金the National Natural Science Foundation of China (60472097 and 60502054)
文摘Synthetic aperture radar （SAR） systems have become an important tool for fine-resolution mapping and other remote sensing operations. The multi-channel SAR ground moving-target indication （GMTI） must process its data to produce not only the image of surveillance area but also the information of the ground moving-targets. The topic of moving-target detection in clutter has been extensively studied, and there are many methods that are used to detect moving targets, such as displaced phase center antenna （DPCA） method, along-track interfero-metric （ATI） phase, space-time adaptive processing （STAP）, or some other metrics. A canonical framework is proposed that encompasses all the multi-channel SAR-GMT methods, namely, DPCA and ATI. The statistical test metric for multi-channel SAR-GMTI is established in a simple form, via the definition of the complex central Wishart distribution, to deduce the statistics of the test metric, and the probability distribution of the test metric for multichannel SAR-GMTI has the complex central Wishart distribution of 1×1 case, namely the X^2 distribution. The theory foundation offers the possibility to construct the united multi-channel SAR-GMTI detector, and derives the constant false alarm rate （CFAR） detector tests for separating moving targets from clutter.
