Abstract Heavy metals in water can be deposited on graphite flakes, which can be used as an enrichment method for laser-induced breakdown spectroscopy （LIBS） and is studied in this paper. The graphite samples were p...Abstract Heavy metals in water can be deposited on graphite flakes, which can be used as an enrichment method for laser-induced breakdown spectroscopy （LIBS） and is studied in this paper. The graphite samples were prepared with an automatic device, which was composed of a loading and unloading module, a quantitatively adding solution module, a rapid heating and drying module and a precise rotating module. The experimental results showed that the sample preparation methods had no significant effect on sample distribution and the LIBS signal accumulated in 20 pulses was stable and repeatable. With an increasing amount of the sample solution on the graphite flake, the peak intensity at Cu I 324.75 nm accorded with the exponential function with a correlation coefficient of 0.9963 and the background intensity remained unchanged. The limit of detection （LOD） was calculated through linear fitting of the peak intensity versus the concentration. The LOD decreased rapidly with an increasing amount of sample solution until the amount exceeded 20 mL and the correlation coefficient of exponential function fitting was 0.991. The LOD of Pb, Ni, Cd, Cr and Zn after evaporating different amounts of sample solution on the graphite flakes was measured and the variation tendency of their LOD with sample solution amounts was similar to the tendency for Cu. The experimental data and conclusions could provide a reference for automatic sample preparation and heavy metal in situ detection.展开更多
目的应用全自动三维超声右室定量软件(3D Auto RV)评估系统性红斑狼疮(SLE)患者右室收缩功能,分析其与红细胞分布宽度(RDW)的相关性。方法选取我院风湿免疫科诊断为SLE的患者70例,根据超声心动图测得的肺动脉收缩压(PASP)将其分为PASP≤...目的应用全自动三维超声右室定量软件(3D Auto RV)评估系统性红斑狼疮(SLE)患者右室收缩功能,分析其与红细胞分布宽度(RDW)的相关性。方法选取我院风湿免疫科诊断为SLE的患者70例,根据超声心动图测得的肺动脉收缩压(PASP)将其分为PASP≤30 mmHg(1 mmHg=0.133 kPa)者34例(Ⅰ组),30 mmHg<PASP<50 mmHg者20例(Ⅱ组)、PASP≥50 mmHg者16例(Ⅲ组);另选同期健康志愿者25例为对照组。各组均行二维超声心动图检查获取左室射血分数(LVEF)、右室面积变化率(RVFAC)、三尖瓣环收缩期平面位移(TAPSE)、三尖瓣环收缩期峰值速度(S’);3D Auto RV获取右室舒张末期容积指数(EDVi)、收缩末期容积指数(ESVi)、右室每搏量(RVSV)、右室射血分数(RVEF)、右室游离壁纵向应变(RVFWLS)、室间隔纵向应变(SLS);实验室检查获取RDW。比较各组上述检查结果的差异。采用Spearman相关分析法分析右室收缩功能与RDW的相关性;采用多元线性回归分析筛选SLE患者右室收缩功能受损的独立影响因子。结果与对照组和Ⅰ、Ⅱ组比较,Ⅲ组RVFAC减低,EDVi、ESVi均增高,差异均有统计学意义(均P<0.05);与对照组和Ⅰ组比较,Ⅱ、Ⅲ组RVEF、RVFWLS均减低,差异均有统计学意义(均P<0.05);与Ⅰ组比较,Ⅱ、Ⅲ组SLS均减低,差异均有统计学意义(均P<0.05)。Ⅰ~Ⅲ组RDW均高于对照组,差异均有统计学意义(均P<0.05)。Spearman相关性分析显示,EDVi、ESVi与RDW均呈正相关(r=0.211、0.251,均P<0.05),RVEF、RVFWLS、SLS与RDW均呈负相关(r=-0.284、-0.247、-0.251,均P<0.05)。多元线性回归分析显示,RDW、PASP均为SLE患者右室收缩功能受损的独立影响因子(β=-0.704、-0.190,均P<0.05)。结论3D Auto RV可准确评估SLE患者早期右室收缩功能,且其与RDW呈负相关;RDW和PASP均为SLE患者右室收缩功能受损的独立影响因子。展开更多
Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative ...Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative procedure must give way to quantitative prediction method backed by mathematics theory and computer technology. This paper explores some relevant problems with the method, introducing a software, MSPS, used to predict automatically and quantitatively the relative complexities of geologic structures in different blocks of a coal mining area, with an application example employing the software to select the most suitable mining sites.展开更多
The morphological quantification of the proximal tibia of the knee joint is important in knee replacement.Accurate knowledge of these parameters provides the basis for design of the tibial prosthesis and its fixation....The morphological quantification of the proximal tibia of the knee joint is important in knee replacement.Accurate knowledge of these parameters provides the basis for design of the tibial prosthesis and its fixation.Ideally,a prosthesis that is suitable for the morphological characteristics of Chinese knees is needed.In this paper,a deep learning automatic network framework is designed to achieve automatic segmentation and automatic quantitative analysis of magnetic resonance images of the tibia.An enhanced feature fusion network structure is designed,including high and low-level feature fusion path modules to create accurate segmentation of the tibia.A new method of extracting feature points and lines from outline contours of the proximal tibia is designed to automatically calculate six clinical morphological linear parameters of the tibia in real-time.The final result is an automatic visualisation of the tibial contour and automated extraction of tibial morphometric parameters.Validation of the results from our system against a gold standard obtained by manual processing by expert clinicians showed the Dice coefficient to be 0.97,the accuracy to be 0.98,and the correlation coefficients for all six morphological parameters of the automatic quantification of the tibia are above 0.96.The gender-specific study found that the values of the proximal tibial linear parameters of internal and external tibial diameter,anterior and posterior diameter,lateral plateau length,lateral plateau width,medial plateau length,and medial plateau width in male patients are significantly greater than in female patients(all P values<0.01).The results enrich the use of deep learning in medicine,providing orthopaedic specialists with a valuable and intelligent quantitative tool that can assess the progression and changes in osteoarthritis of the knee joint.展开更多
目的探讨四维自动左室定量分析(4D AUTO LVQ)技术联合动态心电图预测急性心肌梗死(AMI)患者预后的临床应用价值。方法选取我院收治的AMI患者83例,依据是否发生主要不良心血管事件(MACE)分为MACE组12例和非MACE组71例(非MACE组),两组均...目的探讨四维自动左室定量分析(4D AUTO LVQ)技术联合动态心电图预测急性心肌梗死(AMI)患者预后的临床应用价值。方法选取我院收治的AMI患者83例,依据是否发生主要不良心血管事件(MACE)分为MACE组12例和非MACE组71例(非MACE组),两组均行常规超声心动图、4D AUTO LAQ和动态心电图检查,比较相关检测参数的差异。分析两组超声心动图参数、动态心电图心率变异性参数与MACE发生的相关性。绘制受试者工作特征(ROC)曲线分析4D AUTO LVQ技术联合动态心电图预测AMI患者预后的诊断效能。结果常规超声心动图检查结果显示,两组左房排空容积(LAEV)、左房被动射血分数(LAPEF)、左房主动射血分数(LAAEF)、左室射血分数(LVEF)、左房最大容积指数(LAVImax)比较差异均有统计学意义(均P<0.05);4D AUTO LVQ检查结果显示,两组整体峰值纵向应变(GLPS)、面积应变(GAPS)、环向应变(GCPS)、径向应变(GRPS)比较差异均有统计学意义(均P<0.05);动态心电图检查结果显示,两组全部窦性心搏RR间期的标准差(SDNN)、RR间期平均值的标准差(SDANN)、相邻RR间期差值的均方根(RMSSD)、低频成分与高频成分的比值(LF/HF)、相邻RR间期相差>50 ms的个数占总窦性心搏个数的百分比(PNN50)比较差异均有统计学意义(均P<0.001)。相关性分析显示,LAEV、LAPEF、LVEF、GAPS、SDNN与MACE发生均呈负相关,LAVImax与MACE发生呈正相关(均P<0.001)。ROC曲线分析显示,LAEV、LAPEF、LVEF、LAVImax、GAPS、SDNN联合应用预测AMI患者预后的曲线下面积为0.841,灵敏度、特异度分别为65.36%、79.22%。结论4D AUTO LVQ技术联合动态心电图对AMI患者预后有较高的预测价值,可为临床治疗提供参考依据。展开更多
基金supported by National Natural Science Foundation of China(No.60908018)National High Technology Research and Development Program of China(No.2013AA065502)Anhui Province Outstanding Youth Science Fund of China(No.1108085J19)
文摘Abstract Heavy metals in water can be deposited on graphite flakes, which can be used as an enrichment method for laser-induced breakdown spectroscopy （LIBS） and is studied in this paper. The graphite samples were prepared with an automatic device, which was composed of a loading and unloading module, a quantitatively adding solution module, a rapid heating and drying module and a precise rotating module. The experimental results showed that the sample preparation methods had no significant effect on sample distribution and the LIBS signal accumulated in 20 pulses was stable and repeatable. With an increasing amount of the sample solution on the graphite flake, the peak intensity at Cu I 324.75 nm accorded with the exponential function with a correlation coefficient of 0.9963 and the background intensity remained unchanged. The limit of detection （LOD） was calculated through linear fitting of the peak intensity versus the concentration. The LOD decreased rapidly with an increasing amount of sample solution until the amount exceeded 20 mL and the correlation coefficient of exponential function fitting was 0.991. The LOD of Pb, Ni, Cd, Cr and Zn after evaporating different amounts of sample solution on the graphite flakes was measured and the variation tendency of their LOD with sample solution amounts was similar to the tendency for Cu. The experimental data and conclusions could provide a reference for automatic sample preparation and heavy metal in situ detection.
文摘目的应用全自动三维超声右室定量软件(3D Auto RV)评估系统性红斑狼疮(SLE)患者右室收缩功能,分析其与红细胞分布宽度(RDW)的相关性。方法选取我院风湿免疫科诊断为SLE的患者70例,根据超声心动图测得的肺动脉收缩压(PASP)将其分为PASP≤30 mmHg(1 mmHg=0.133 kPa)者34例(Ⅰ组),30 mmHg<PASP<50 mmHg者20例(Ⅱ组)、PASP≥50 mmHg者16例(Ⅲ组);另选同期健康志愿者25例为对照组。各组均行二维超声心动图检查获取左室射血分数(LVEF)、右室面积变化率(RVFAC)、三尖瓣环收缩期平面位移(TAPSE)、三尖瓣环收缩期峰值速度(S’);3D Auto RV获取右室舒张末期容积指数(EDVi)、收缩末期容积指数(ESVi)、右室每搏量(RVSV)、右室射血分数(RVEF)、右室游离壁纵向应变(RVFWLS)、室间隔纵向应变(SLS);实验室检查获取RDW。比较各组上述检查结果的差异。采用Spearman相关分析法分析右室收缩功能与RDW的相关性;采用多元线性回归分析筛选SLE患者右室收缩功能受损的独立影响因子。结果与对照组和Ⅰ、Ⅱ组比较,Ⅲ组RVFAC减低,EDVi、ESVi均增高,差异均有统计学意义(均P<0.05);与对照组和Ⅰ组比较,Ⅱ、Ⅲ组RVEF、RVFWLS均减低,差异均有统计学意义(均P<0.05);与Ⅰ组比较,Ⅱ、Ⅲ组SLS均减低,差异均有统计学意义(均P<0.05)。Ⅰ~Ⅲ组RDW均高于对照组,差异均有统计学意义(均P<0.05)。Spearman相关性分析显示,EDVi、ESVi与RDW均呈正相关(r=0.211、0.251,均P<0.05),RVEF、RVFWLS、SLS与RDW均呈负相关(r=-0.284、-0.247、-0.251,均P<0.05)。多元线性回归分析显示,RDW、PASP均为SLE患者右室收缩功能受损的独立影响因子(β=-0.704、-0.190,均P<0.05)。结论3D Auto RV可准确评估SLE患者早期右室收缩功能,且其与RDW呈负相关;RDW和PASP均为SLE患者右室收缩功能受损的独立影响因子。
文摘Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative procedure must give way to quantitative prediction method backed by mathematics theory and computer technology. This paper explores some relevant problems with the method, introducing a software, MSPS, used to predict automatically and quantitatively the relative complexities of geologic structures in different blocks of a coal mining area, with an application example employing the software to select the most suitable mining sites.
基金National Natural Science Foundation of China(Project Nos.11772214 and 11972243)supported by the Shanxi Huajin Orthopaedic Public Foundation.
文摘The morphological quantification of the proximal tibia of the knee joint is important in knee replacement.Accurate knowledge of these parameters provides the basis for design of the tibial prosthesis and its fixation.Ideally,a prosthesis that is suitable for the morphological characteristics of Chinese knees is needed.In this paper,a deep learning automatic network framework is designed to achieve automatic segmentation and automatic quantitative analysis of magnetic resonance images of the tibia.An enhanced feature fusion network structure is designed,including high and low-level feature fusion path modules to create accurate segmentation of the tibia.A new method of extracting feature points and lines from outline contours of the proximal tibia is designed to automatically calculate six clinical morphological linear parameters of the tibia in real-time.The final result is an automatic visualisation of the tibial contour and automated extraction of tibial morphometric parameters.Validation of the results from our system against a gold standard obtained by manual processing by expert clinicians showed the Dice coefficient to be 0.97,the accuracy to be 0.98,and the correlation coefficients for all six morphological parameters of the automatic quantification of the tibia are above 0.96.The gender-specific study found that the values of the proximal tibial linear parameters of internal and external tibial diameter,anterior and posterior diameter,lateral plateau length,lateral plateau width,medial plateau length,and medial plateau width in male patients are significantly greater than in female patients(all P values<0.01).The results enrich the use of deep learning in medicine,providing orthopaedic specialists with a valuable and intelligent quantitative tool that can assess the progression and changes in osteoarthritis of the knee joint.
文摘目的探讨四维自动左室定量分析(4D AUTO LVQ)技术联合动态心电图预测急性心肌梗死(AMI)患者预后的临床应用价值。方法选取我院收治的AMI患者83例,依据是否发生主要不良心血管事件(MACE)分为MACE组12例和非MACE组71例(非MACE组),两组均行常规超声心动图、4D AUTO LAQ和动态心电图检查,比较相关检测参数的差异。分析两组超声心动图参数、动态心电图心率变异性参数与MACE发生的相关性。绘制受试者工作特征(ROC)曲线分析4D AUTO LVQ技术联合动态心电图预测AMI患者预后的诊断效能。结果常规超声心动图检查结果显示,两组左房排空容积(LAEV)、左房被动射血分数(LAPEF)、左房主动射血分数(LAAEF)、左室射血分数(LVEF)、左房最大容积指数(LAVImax)比较差异均有统计学意义(均P<0.05);4D AUTO LVQ检查结果显示,两组整体峰值纵向应变(GLPS)、面积应变(GAPS)、环向应变(GCPS)、径向应变(GRPS)比较差异均有统计学意义(均P<0.05);动态心电图检查结果显示,两组全部窦性心搏RR间期的标准差(SDNN)、RR间期平均值的标准差(SDANN)、相邻RR间期差值的均方根(RMSSD)、低频成分与高频成分的比值(LF/HF)、相邻RR间期相差>50 ms的个数占总窦性心搏个数的百分比(PNN50)比较差异均有统计学意义(均P<0.001)。相关性分析显示,LAEV、LAPEF、LVEF、GAPS、SDNN与MACE发生均呈负相关,LAVImax与MACE发生呈正相关(均P<0.001)。ROC曲线分析显示,LAEV、LAPEF、LVEF、LAVImax、GAPS、SDNN联合应用预测AMI患者预后的曲线下面积为0.841,灵敏度、特异度分别为65.36%、79.22%。结论4D AUTO LVQ技术联合动态心电图对AMI患者预后有较高的预测价值,可为临床治疗提供参考依据。
