We analyzed the seismic waveforms from the December 26, 2004 Sumatra-Andaman earthquake recorded at broadband seismic stations in western Europe. Previous studies involving of the beam-forming technique and high frequ...We analyzed the seismic waveforms from the December 26, 2004 Sumatra-Andaman earthquake recorded at broadband seismic stations in western Europe. Previous studies involving of the beam-forming technique and high frequency analysis suggest that the earthquake ruptured with a duration of around 500 s. This very long duration makes P wave overlap with later arrivals such as PP wave, which follows P in about 200 s. Since P waves are crucial for modeling earthquake processes, we propose an iterative method to separate P and PP waveforms. The separated P waveform confirms a second large energy release around 300 s after the initial rupture. The iterative signal separation technique is particularly useful for mixed signals that are not independent and the number of recording stations far exceeds number of mixed signal sources.展开更多
目的寻找基于蛋白质组学技术早期、快速诊断糖尿病肾病的尿蛋白标志物模型，并探讨其临床应用价值。方法应用表面增强激光解析电离飞行时间质谱（surface-enhanced laser desorption-ionization time of flight mass spectrometry，SELD...目的寻找基于蛋白质组学技术早期、快速诊断糖尿病肾病的尿蛋白标志物模型，并探讨其临床应用价值。方法应用表面增强激光解析电离飞行时间质谱（surface-enhanced laser desorption-ionization time of flight mass spectrometry，SELDI-TOF-MS）技术及Au芯片（proteinchipgoldarray）检测292例患者尿蛋白质谱，包括129例糖尿病肾病和163例对照者（61例糖尿病及102名健康体检者）。获得的蛋白质谱数据用Biomaker Wizard3．1软件筛选差异蛋白，通过生物标志模型软件（biomarker patterns software，BPS）建立决策树辨别分析模型，评价其临床诊断价值。对部分筛选的差异蛋白通过比对标准蛋白质谱数据，根据分子量大小进行初步鉴定。结果糖尿病肾病患者与对照者尿液中差异表达的蛋白质峰有40个，其丰度值两组间比较差异均有统计学意义（t值为-9．81～24．52，P均〈0．05），通过BPS自动筛选66916质荷比（m／z）蛋白建立的模型诊断糖尿病肾病敏感度为98．7％（78／79），特异度98．2％（111／113）。对糖尿病和糖尿病肾病患者尿蛋白质谱图分析后得到24个差异蛋白质峰，其丰度值两组间比较差异均有统计学意义（t值为-6．95～14．45，P均〈0．05），BPS筛选4008、11619、66916m／z蛋白建立模型区分糖尿病与糖尿病肾病的敏感度（129／129）和特异度（61／61）均为100％。通过比对标准蛋白质谱数据，糖尿病肾病患者尿差异蛋白中m／z 11619、23529、66916和79378，可能为β2-微球蛋白、α1-微球蛋白、白蛋白和转铁蛋白。结论基于SELDI-TOF-MS及Au芯片技术检测尿蛋白质谱在鉴别蛋白尿来源、糖尿病肾病的早期快速诊断及肾脏损害评估具有重要应用价值。展开更多
基金supported by CAS fund(KZCX2-YW-116-1)National Natural Science Foundation of China(40821160549 and 41074032)China Earthquake Administration fund(200808078)
文摘We analyzed the seismic waveforms from the December 26, 2004 Sumatra-Andaman earthquake recorded at broadband seismic stations in western Europe. Previous studies involving of the beam-forming technique and high frequency analysis suggest that the earthquake ruptured with a duration of around 500 s. This very long duration makes P wave overlap with later arrivals such as PP wave, which follows P in about 200 s. Since P waves are crucial for modeling earthquake processes, we propose an iterative method to separate P and PP waveforms. The separated P waveform confirms a second large energy release around 300 s after the initial rupture. The iterative signal separation technique is particularly useful for mixed signals that are not independent and the number of recording stations far exceeds number of mixed signal sources.
文摘目的寻找基于蛋白质组学技术早期、快速诊断糖尿病肾病的尿蛋白标志物模型，并探讨其临床应用价值。方法应用表面增强激光解析电离飞行时间质谱（surface-enhanced laser desorption-ionization time of flight mass spectrometry，SELDI-TOF-MS）技术及Au芯片（proteinchipgoldarray）检测292例患者尿蛋白质谱，包括129例糖尿病肾病和163例对照者（61例糖尿病及102名健康体检者）。获得的蛋白质谱数据用Biomaker Wizard3．1软件筛选差异蛋白，通过生物标志模型软件（biomarker patterns software，BPS）建立决策树辨别分析模型，评价其临床诊断价值。对部分筛选的差异蛋白通过比对标准蛋白质谱数据，根据分子量大小进行初步鉴定。结果糖尿病肾病患者与对照者尿液中差异表达的蛋白质峰有40个，其丰度值两组间比较差异均有统计学意义（t值为-9．81～24．52，P均〈0．05），通过BPS自动筛选66916质荷比（m／z）蛋白建立的模型诊断糖尿病肾病敏感度为98．7％（78／79），特异度98．2％（111／113）。对糖尿病和糖尿病肾病患者尿蛋白质谱图分析后得到24个差异蛋白质峰，其丰度值两组间比较差异均有统计学意义（t值为-6．95～14．45，P均〈0．05），BPS筛选4008、11619、66916m／z蛋白建立模型区分糖尿病与糖尿病肾病的敏感度（129／129）和特异度（61／61）均为100％。通过比对标准蛋白质谱数据，糖尿病肾病患者尿差异蛋白中m／z 11619、23529、66916和79378，可能为β2-微球蛋白、α1-微球蛋白、白蛋白和转铁蛋白。结论基于SELDI-TOF-MS及Au芯片技术检测尿蛋白质谱在鉴别蛋白尿来源、糖尿病肾病的早期快速诊断及肾脏损害评估具有重要应用价值。
