Facing with the ever changing effect of internation al and domestic environments, purely new questions, higher requirements, more chal lenges and opportunities, the conventional management pattern of enterprise seem s...Facing with the ever changing effect of internation al and domestic environments, purely new questions, higher requirements, more chal lenges and opportunities, the conventional management pattern of enterprise seem s to be very limited. Concept design is a modern design method of sustainable de velopment strategy rather than a simple design of a certain level within an ente rprise. The digital virtual integration system, which is established on the basi s of concept design, focuses on the comprehensive balance of enterprise developm ent orientation, advanced technology of manufacturing industry and various scien ces, pours into an enterprise a rational, modern and foresight concept and provi des an enterprise with a scientific base to learn from the developed countries a nd regions in the light of its own actuality and characteristics with the final aim to make a perfect and correct decision.展开更多
by reference and simplifying the volume expressions of Barrel Theory, this paper puts forward the Double Bottleneck Concept, the Weights of plate as well as the K-value concept on the flex coefficient of the items ref...by reference and simplifying the volume expressions of Barrel Theory, this paper puts forward the Double Bottleneck Concept, the Weights of plate as well as the K-value concept on the flex coefficient of the items reflecting the comparative needing of the factors. It also advances the automatic arrangement on the position of each item and the Max Area Pattern representing the athletic diathesis and ability. It also analysis training pattern in different time-limitation by the Max Area Pattern based on the concept of Balanced-Development.展开更多
目的探讨超声影像组学模型鉴别肝郁痰凝型与冲任失调型乳腺癌中医证型的价值,寻求有助于中医辨证分型的客观指标。方法回顾性收集2018年1月—2021年12月于福建中医药大学附属第二人民医院行术前超声检查并经病理确诊且有完整中医辨证资...目的探讨超声影像组学模型鉴别肝郁痰凝型与冲任失调型乳腺癌中医证型的价值,寻求有助于中医辨证分型的客观指标。方法回顾性收集2018年1月—2021年12月于福建中医药大学附属第二人民医院行术前超声检查并经病理确诊且有完整中医辨证资料的231例(247个病灶)乳腺癌患者资料,获取术前超声图像,用ITK-SNAP软件勾画感兴趣区(ROI),利用Pyradiomics 3.0软件提取超声影像组学特征,病灶按7∶3比例分为训练集(175个)和测试集(72个),使用最小绝对收缩与选择算法(LASSO)进行特征降维筛选,采用支持向量机(SVM)构建影像组学模型,通过受试者工作特征(ROC)曲线评估模型的鉴别诊断效能。结果纳入病例中肝郁痰凝型107例115个病灶,冲任失调型124例132个病灶。LASSO算法筛选出17个可鉴别肝郁痰凝型和冲任失调型乳腺癌的超声影像组学特征,其中前7个特征权重系数较大,分别为Dependence Variance,Correlation,Sphericity,Center Of MassIndex2,Bounding Box5,Large Dependence High Gray Level Emphasis和Short Run Emphasis。利用上述17个有效特征构建的影像组学模型在训练集和测试集上的曲线下面积(AUC)分别为0.797(95%CI:0.730~0.864)和0.775(95%CI:0.666~0.883)。该模型训练集的敏感度、特异度、准确率分别为72.3%(60/83)、73.0%(65/89)、72.7%(125/172);该模型测试集的敏感度、特异度、准确率分别为75.5%(37/49)、65.4%(17/26)、72.0%(54/75)。结论超声影像组学模型能够有效鉴别肝郁痰凝型与冲任失调型乳腺癌,筛选出的影像组学特征可作为乳腺癌中医辨证分型的微观指标。展开更多
提出了一种基于闭合频繁模式的半随机森林数据流分类算法(Semi-Random Forest based on Closed Frequent Pattern,SRFCFP),以解决数据流中噪声和概念漂移问题。SRFCFP利用闭合频繁模式对数据流进行表示,去除冗余信息和噪声,突出数据特...提出了一种基于闭合频繁模式的半随机森林数据流分类算法(Semi-Random Forest based on Closed Frequent Pattern,SRFCFP),以解决数据流中噪声和概念漂移问题。SRFCFP利用闭合频繁模式对数据流进行表示,去除冗余信息和噪声,突出数据特征。采用半随机森林建立分类模型,并通过基于时间衰减的模式集更新机制适应数据流的无限性。为了检测概念漂移并及时适应,引入了一种模式集差异性度量方式,用于测量数据分布变化。实验结果表明,在MOA平台下使用真实和合成数据集,SRFCFP在平均精度上超越了相关对比算法,并能有效处理数据流中的概念漂移和噪声问题。展开更多
文摘Facing with the ever changing effect of internation al and domestic environments, purely new questions, higher requirements, more chal lenges and opportunities, the conventional management pattern of enterprise seem s to be very limited. Concept design is a modern design method of sustainable de velopment strategy rather than a simple design of a certain level within an ente rprise. The digital virtual integration system, which is established on the basi s of concept design, focuses on the comprehensive balance of enterprise developm ent orientation, advanced technology of manufacturing industry and various scien ces, pours into an enterprise a rational, modern and foresight concept and provi des an enterprise with a scientific base to learn from the developed countries a nd regions in the light of its own actuality and characteristics with the final aim to make a perfect and correct decision.
文摘by reference and simplifying the volume expressions of Barrel Theory, this paper puts forward the Double Bottleneck Concept, the Weights of plate as well as the K-value concept on the flex coefficient of the items reflecting the comparative needing of the factors. It also advances the automatic arrangement on the position of each item and the Max Area Pattern representing the athletic diathesis and ability. It also analysis training pattern in different time-limitation by the Max Area Pattern based on the concept of Balanced-Development.
文摘目的探讨超声影像组学模型鉴别肝郁痰凝型与冲任失调型乳腺癌中医证型的价值,寻求有助于中医辨证分型的客观指标。方法回顾性收集2018年1月—2021年12月于福建中医药大学附属第二人民医院行术前超声检查并经病理确诊且有完整中医辨证资料的231例(247个病灶)乳腺癌患者资料,获取术前超声图像,用ITK-SNAP软件勾画感兴趣区(ROI),利用Pyradiomics 3.0软件提取超声影像组学特征,病灶按7∶3比例分为训练集(175个)和测试集(72个),使用最小绝对收缩与选择算法(LASSO)进行特征降维筛选,采用支持向量机(SVM)构建影像组学模型,通过受试者工作特征(ROC)曲线评估模型的鉴别诊断效能。结果纳入病例中肝郁痰凝型107例115个病灶,冲任失调型124例132个病灶。LASSO算法筛选出17个可鉴别肝郁痰凝型和冲任失调型乳腺癌的超声影像组学特征,其中前7个特征权重系数较大,分别为Dependence Variance,Correlation,Sphericity,Center Of MassIndex2,Bounding Box5,Large Dependence High Gray Level Emphasis和Short Run Emphasis。利用上述17个有效特征构建的影像组学模型在训练集和测试集上的曲线下面积(AUC)分别为0.797(95%CI:0.730~0.864)和0.775(95%CI:0.666~0.883)。该模型训练集的敏感度、特异度、准确率分别为72.3%(60/83)、73.0%(65/89)、72.7%(125/172);该模型测试集的敏感度、特异度、准确率分别为75.5%(37/49)、65.4%(17/26)、72.0%(54/75)。结论超声影像组学模型能够有效鉴别肝郁痰凝型与冲任失调型乳腺癌,筛选出的影像组学特征可作为乳腺癌中医辨证分型的微观指标。
文摘提出了一种基于闭合频繁模式的半随机森林数据流分类算法(Semi-Random Forest based on Closed Frequent Pattern,SRFCFP),以解决数据流中噪声和概念漂移问题。SRFCFP利用闭合频繁模式对数据流进行表示,去除冗余信息和噪声,突出数据特征。采用半随机森林建立分类模型,并通过基于时间衰减的模式集更新机制适应数据流的无限性。为了检测概念漂移并及时适应,引入了一种模式集差异性度量方式,用于测量数据分布变化。实验结果表明,在MOA平台下使用真实和合成数据集,SRFCFP在平均精度上超越了相关对比算法,并能有效处理数据流中的概念漂移和噪声问题。
