建立可见分光光度法检测饮料中过氧化氢含量的方法;过氧化氢的含量在2.0~200.0 mg·L^(-1)范围内线性良好,相关系数在0.999以上,采用420 nm波长、0.5 m L PDV显色剂、显色时间10 min,平均回收率在97.24%~103.4%,检出限为2.0 mg·...建立可见分光光度法检测饮料中过氧化氢含量的方法;过氧化氢的含量在2.0~200.0 mg·L^(-1)范围内线性良好,相关系数在0.999以上,采用420 nm波长、0.5 m L PDV显色剂、显色时间10 min,平均回收率在97.24%~103.4%,检出限为2.0 mg·L^(-1);该方法精密度高、准确度好,适用于各种饮料中过氧化氢的定量分析。展开更多
目的探讨胸腔镜肺段切除术后根据连续8 h胸腔引流量(PDV)拔除胸腔引流管的可行性和安全性。方法回顾性分析2022年7月1日-2024年6月30日于该院接受胸腔镜肺段切除术的360例肺结节患者的临床资料。根据8 h PDV拔除胸腔引流管的患者设为8 h...目的探讨胸腔镜肺段切除术后根据连续8 h胸腔引流量(PDV)拔除胸腔引流管的可行性和安全性。方法回顾性分析2022年7月1日-2024年6月30日于该院接受胸腔镜肺段切除术的360例肺结节患者的临床资料。根据8 h PDV拔除胸腔引流管的患者设为8 h组(173例),根据24 h PDV拔除胸腔引流管的患者设为24 h组(187例)。比较两组患者手术相关情况和术后并发症。结果两组患者手术肺叶、手术时间、术中出血量、清扫淋巴结站数、清扫淋巴数量和术后病理比较,差异均无统计学意义(P>0.05)。8 h组术后胸腔引流管留置时间和术后住院时间明显短于24 h组,差异均有统计学意义(P<0.05)。两组患者再次引流率和切口愈合不良率比较,差异均无统计学意义(P>0.05)。结论胸腔镜肺段切除术后,根据8 h PDV拔除胸腔引流管是安全的,具有一定可行性。与传统的根据24 h PDV拔除胸腔引流管方案相比,该方法可更早地拔除胸腔引流管,缩短住院时间。值得临床推广应用。展开更多
Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,...Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,theoretical calculation,and experimental characterization to determine the detonation reaction zone width of CL-20-based aluminized explosive.In this study,the detonation reaction zone refers to the reaction zone between the von Neumann(VN)peak and sonic point,which usually means the so-called detonation driving zone(DDZ).For the machine learning prediction,an ensemble model integrating Random Forest and Support Vector Regression was developed to predict the reaction zone width using a dataset of 19 publicly available samples.For the theoretical calculation,the Wood-Kirkwood(W-K)detonation theory model was utilized to implement numerical calculation of the reaction zone structures,incorporating chemical reaction kinetics to describe the detonation reaction progress.In experimental characterization,the Photon Doppler Velocimetry(PDV)was applied with LiF as the optical window to measure the particle velocity profile of detonation products and derive the reaction zone width.The results indicate that the reaction zone width values are 0.25 mm,0.28 mm,and 0.26 mm obtained from machine learning prediction,theoretical calculation,and experimental characterization,respectively.The corresponding velocities at the Chapman-Jouguet(CJ)point are 1,938 m/s,2,047 m/s,and 1,982 m/s,respectively.The maximum relative deviation in reaction zone width among three methods is approximately 7.7%,while that for CJ particle velocity is approximately 3.3%.These results from all three methods agree well within engineering error.This validates the effectiveness of integrating machine learning prediction,theoretical calculation and advanced experimental techniques for studying the detonation reaction zone structures of high explosives.This research provides insights into the detonation reaction mechanism and reaction zone characteristics of CL-20-based aluminized explosive.展开更多
文摘建立可见分光光度法检测饮料中过氧化氢含量的方法;过氧化氢的含量在2.0~200.0 mg·L^(-1)范围内线性良好,相关系数在0.999以上,采用420 nm波长、0.5 m L PDV显色剂、显色时间10 min,平均回收率在97.24%~103.4%,检出限为2.0 mg·L^(-1);该方法精密度高、准确度好,适用于各种饮料中过氧化氢的定量分析。
文摘目的探讨胸腔镜肺段切除术后根据连续8 h胸腔引流量(PDV)拔除胸腔引流管的可行性和安全性。方法回顾性分析2022年7月1日-2024年6月30日于该院接受胸腔镜肺段切除术的360例肺结节患者的临床资料。根据8 h PDV拔除胸腔引流管的患者设为8 h组(173例),根据24 h PDV拔除胸腔引流管的患者设为24 h组(187例)。比较两组患者手术相关情况和术后并发症。结果两组患者手术肺叶、手术时间、术中出血量、清扫淋巴结站数、清扫淋巴数量和术后病理比较,差异均无统计学意义(P>0.05)。8 h组术后胸腔引流管留置时间和术后住院时间明显短于24 h组,差异均有统计学意义(P<0.05)。两组患者再次引流率和切口愈合不良率比较,差异均无统计学意义(P>0.05)。结论胸腔镜肺段切除术后,根据8 h PDV拔除胸腔引流管是安全的,具有一定可行性。与传统的根据24 h PDV拔除胸腔引流管方案相比,该方法可更早地拔除胸腔引流管,缩短住院时间。值得临床推广应用。
文摘Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,theoretical calculation,and experimental characterization to determine the detonation reaction zone width of CL-20-based aluminized explosive.In this study,the detonation reaction zone refers to the reaction zone between the von Neumann(VN)peak and sonic point,which usually means the so-called detonation driving zone(DDZ).For the machine learning prediction,an ensemble model integrating Random Forest and Support Vector Regression was developed to predict the reaction zone width using a dataset of 19 publicly available samples.For the theoretical calculation,the Wood-Kirkwood(W-K)detonation theory model was utilized to implement numerical calculation of the reaction zone structures,incorporating chemical reaction kinetics to describe the detonation reaction progress.In experimental characterization,the Photon Doppler Velocimetry(PDV)was applied with LiF as the optical window to measure the particle velocity profile of detonation products and derive the reaction zone width.The results indicate that the reaction zone width values are 0.25 mm,0.28 mm,and 0.26 mm obtained from machine learning prediction,theoretical calculation,and experimental characterization,respectively.The corresponding velocities at the Chapman-Jouguet(CJ)point are 1,938 m/s,2,047 m/s,and 1,982 m/s,respectively.The maximum relative deviation in reaction zone width among three methods is approximately 7.7%,while that for CJ particle velocity is approximately 3.3%.These results from all three methods agree well within engineering error.This validates the effectiveness of integrating machine learning prediction,theoretical calculation and advanced experimental techniques for studying the detonation reaction zone structures of high explosives.This research provides insights into the detonation reaction mechanism and reaction zone characteristics of CL-20-based aluminized explosive.
