Background The incremental predictive value of red cell distribution width （RDW） on Korea Acute Myocardial Infarction Registry （KAMIR） score in patients with ST segment elevation myocardial infarction （STE- MI） ...Background The incremental predictive value of red cell distribution width （RDW） on Korea Acute Myocardial Infarction Registry （KAMIR） score in patients with ST segment elevation myocardial infarction （STE- MI） has not been assessed. This study was to investigate whether RDW had additional prognostic value on KA- MIR score for predicting in-hospital death of STEMI patients. Methods Seven hundred and seven STEMI patients were included in this study. The predictive value was evaluated using the receiver operating characteristic （ROC）. Multivariate logistic regression was used to determine risk predictors. Results Thirty four patients died while in hospital, who were older than those who survived, and had more proportion of Killip class/〉 2 and no in -hospital PCI. Blood glucose, serum creatinine, white blood cell count, RDW and KAMIR score were signifi- cantly higher in the Death group, among whom systolic blood pressure, hemoglobin and LVEF were lower. ROC curve analysis showed RDW could predict in-hospital death, with the optimal cut-off values being 14.1% （AUC=0.707, 95%CI, 0.618-0.796, P〈0.001）. When compared with the KAMIR score alone, the addition of RDW was associated with significant improvements in predicting in-hospital （AUC ： 0.865 vs. 0.839, P=0.039）. Conclusion RDW might provide additional information over the KAMIR score in STEMI patients.展开更多
在气候学、生态学、考古学等诸多领域,树木年轮蕴含的环境变迁与历史演替信息具有不可替代的研究价值。为解决传统年轮检测方法存在效率低、易受人为因素干扰等问题,研究提出DCW-YOLOv8年轮实例分割模型,运用可扩张残差(Dilation-wise R...在气候学、生态学、考古学等诸多领域,树木年轮蕴含的环境变迁与历史演替信息具有不可替代的研究价值。为解决传统年轮检测方法存在效率低、易受人为因素干扰等问题,研究提出DCW-YOLOv8年轮实例分割模型,运用可扩张残差(Dilation-wise Residual,DWR)注意力模块、轻量级通用上采样算子(Content-Aware ReAssembly of Features,CARAFE)、动态非单调聚焦机制边界框损失函数(Weighted Interpolation of Sequential Evidence for Intersection over Union,Wise-IoU)组合改进,并设计一种依据模型掩码获取年轮数量与宽度信息的检测方法。消融试验和前沿模型对比试验结果表明,DCWYOLOv8模型掩码平均精度mAP@0.50、mAP@0.50∶0.95提升,达到86.4%、53.6%,优于同类算法;注意力可视化比较结果表明,DCW-YOLOv8对年轮特征注意力更强;年轮信息检测结果表明,年轮数量检测准确率达到86.2%,年轮宽度检测误差在±0.5 mm范围内的占70%,总体平均误差为0.295 mm。研究提出的DCW-YOLOv8模型为年轮自动化检测提供新的思路和方法。展开更多
随着建筑工程规模和结构复杂度的不断增加,连续钢构节段拼装精度控制与缝宽调整技术在现代工程中具有重要的实际意义。将广佛西环五工区工程作为具体案例,深入探讨了连续钢结构拼装过程中的精度控制技术和缝宽调整方法。通过分析节段预...随着建筑工程规模和结构复杂度的不断增加,连续钢构节段拼装精度控制与缝宽调整技术在现代工程中具有重要的实际意义。将广佛西环五工区工程作为具体案例,深入探讨了连续钢结构拼装过程中的精度控制技术和缝宽调整方法。通过分析节段预制精度、运输与吊装过程中的精度控制,以及拼装过程中的实时监测与调整,提出了基于建筑信息模型(Building Information Modeling,BIM)技术的精度控制辅助应用。在缝宽调整方面,详细阐述了缝宽调整的基本原则与目标,介绍了不同施工阶段应用的缝宽调整技术,为复杂钢结构工程的施工提供参考。展开更多
基金supported by Guangdong Provincial Department of Science and Technology(No:2015A020210061)
文摘Background The incremental predictive value of red cell distribution width （RDW） on Korea Acute Myocardial Infarction Registry （KAMIR） score in patients with ST segment elevation myocardial infarction （STE- MI） has not been assessed. This study was to investigate whether RDW had additional prognostic value on KA- MIR score for predicting in-hospital death of STEMI patients. Methods Seven hundred and seven STEMI patients were included in this study. The predictive value was evaluated using the receiver operating characteristic （ROC）. Multivariate logistic regression was used to determine risk predictors. Results Thirty four patients died while in hospital, who were older than those who survived, and had more proportion of Killip class/〉 2 and no in -hospital PCI. Blood glucose, serum creatinine, white blood cell count, RDW and KAMIR score were signifi- cantly higher in the Death group, among whom systolic blood pressure, hemoglobin and LVEF were lower. ROC curve analysis showed RDW could predict in-hospital death, with the optimal cut-off values being 14.1% （AUC=0.707, 95%CI, 0.618-0.796, P〈0.001）. When compared with the KAMIR score alone, the addition of RDW was associated with significant improvements in predicting in-hospital （AUC ： 0.865 vs. 0.839, P=0.039）. Conclusion RDW might provide additional information over the KAMIR score in STEMI patients.
文摘在气候学、生态学、考古学等诸多领域,树木年轮蕴含的环境变迁与历史演替信息具有不可替代的研究价值。为解决传统年轮检测方法存在效率低、易受人为因素干扰等问题,研究提出DCW-YOLOv8年轮实例分割模型,运用可扩张残差(Dilation-wise Residual,DWR)注意力模块、轻量级通用上采样算子(Content-Aware ReAssembly of Features,CARAFE)、动态非单调聚焦机制边界框损失函数(Weighted Interpolation of Sequential Evidence for Intersection over Union,Wise-IoU)组合改进,并设计一种依据模型掩码获取年轮数量与宽度信息的检测方法。消融试验和前沿模型对比试验结果表明,DCWYOLOv8模型掩码平均精度mAP@0.50、mAP@0.50∶0.95提升,达到86.4%、53.6%,优于同类算法;注意力可视化比较结果表明,DCW-YOLOv8对年轮特征注意力更强;年轮信息检测结果表明,年轮数量检测准确率达到86.2%,年轮宽度检测误差在±0.5 mm范围内的占70%,总体平均误差为0.295 mm。研究提出的DCW-YOLOv8模型为年轮自动化检测提供新的思路和方法。
文摘随着建筑工程规模和结构复杂度的不断增加,连续钢构节段拼装精度控制与缝宽调整技术在现代工程中具有重要的实际意义。将广佛西环五工区工程作为具体案例,深入探讨了连续钢结构拼装过程中的精度控制技术和缝宽调整方法。通过分析节段预制精度、运输与吊装过程中的精度控制,以及拼装过程中的实时监测与调整,提出了基于建筑信息模型(Building Information Modeling,BIM)技术的精度控制辅助应用。在缝宽调整方面,详细阐述了缝宽调整的基本原则与目标,介绍了不同施工阶段应用的缝宽调整技术,为复杂钢结构工程的施工提供参考。
