脑膜瘤是颅内第二大常见肿瘤,多为良性,预后较好,世界卫生组织(World Health Organization,WHO)Ⅱ、Ⅲ级脑膜瘤与Ⅰ级脑膜瘤比较具有恶性生长行为,有丝分裂旺盛、生长快且不均衡的特点,而且肿瘤的倍增时间短。Ⅱ、Ⅲ级脑膜瘤患者常采用...脑膜瘤是颅内第二大常见肿瘤,多为良性,预后较好,世界卫生组织(World Health Organization,WHO)Ⅱ、Ⅲ级脑膜瘤与Ⅰ级脑膜瘤比较具有恶性生长行为,有丝分裂旺盛、生长快且不均衡的特点,而且肿瘤的倍增时间短。Ⅱ、Ⅲ级脑膜瘤患者常采用手术联合放化疗的综合治疗方式,术后易复发和转移。不同亚型的脑膜瘤因组织成分不同,治疗方式不尽相同。因此,脑膜瘤术前无创分级、分型,尤其是Ⅱ和Ⅲ级脑膜瘤的准确分级对于临床治疗方案的选择具有重要意义。CT和MRI是脑膜瘤最常用且较成熟的影像学检查方法,但无法获得肿瘤血流动力学信息,在肿瘤的定性诊断、临床治疗方式的选择、评估预后、疗效判断及预测复发等方面仍有不足。随着能谱CT及MR功能成像、分子影像等新技术的应用,诊断准确率有所提高。近年来,人工智能的兴起,能更有效、无创地预测脑膜瘤分级分型,进一步提高术前诊断准确率。作者就有关脑膜瘤分级分型的影像学研究予以综述。展开更多
This paper depicted the physiographic landscape features and natural vegetation situation of study area (the eastern Jilin Province), and expatiates the definition, basic characters and its development of Ecological L...This paper depicted the physiographic landscape features and natural vegetation situation of study area (the eastern Jilin Province), and expatiates the definition, basic characters and its development of Ecological Land Classification (ELC). Based on the combination of relief map, satellite photography for study area and vegetation inventory data of 480 sample sites, a 5-class and a 15-class ecological land type map was concluded according to 4 important factors including slope, aspect, vegetation and elevation. Ecological Classification System (ECS) is a method to identify, characterize, and map ecosystems. The Ecological Land Type (ELT) was examined and applied initially in eastern Jilin Province.展开更多
In this paper, the Adomian＇s decomposition method （ADM） is presented for finding the exact solutions of a more general biological population models. A new solution is constructed in power series. The fractional der...In this paper, the Adomian＇s decomposition method （ADM） is presented for finding the exact solutions of a more general biological population models. A new solution is constructed in power series. The fractional derivatives are described in the Caputo sense. To illustrate the reliability of the method, some examples are provided.展开更多
A Fisher discriminant analysis （FDA） model for the prediction of classification of rockburst in deep-buried long tunnel was established based on the Fisher discriminant theory and the actual characteristics of the p...A Fisher discriminant analysis （FDA） model for the prediction of classification of rockburst in deep-buried long tunnel was established based on the Fisher discriminant theory and the actual characteristics of the project. First, the major factors of rockburst, such as the maximum tangential stress of the cavern wall σθ, uniaxial compressive strength σc, uniaxial tensile strength or, and the elastic energy index of rock Wet, were taken into account in the analysis. Three factors, Stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet, were defined as the criterion indices for rockburst prediction in the proposed model. After training and testing of 12 sets of measured data, the discriminant functions of FDA were solved, and the ratio of misdiscrimina- tion is zero. Moreover, the proposed model was used to predict rockbursts of Qinling tunnel along Xi＇an-Ankang railway. The results show that three forecast results are identical with the actual situation. Therefore, the prediction accuracy of the FDA model is acceptable.展开更多
文摘脑膜瘤是颅内第二大常见肿瘤,多为良性,预后较好,世界卫生组织(World Health Organization,WHO)Ⅱ、Ⅲ级脑膜瘤与Ⅰ级脑膜瘤比较具有恶性生长行为,有丝分裂旺盛、生长快且不均衡的特点,而且肿瘤的倍增时间短。Ⅱ、Ⅲ级脑膜瘤患者常采用手术联合放化疗的综合治疗方式,术后易复发和转移。不同亚型的脑膜瘤因组织成分不同,治疗方式不尽相同。因此,脑膜瘤术前无创分级、分型,尤其是Ⅱ和Ⅲ级脑膜瘤的准确分级对于临床治疗方案的选择具有重要意义。CT和MRI是脑膜瘤最常用且较成熟的影像学检查方法,但无法获得肿瘤血流动力学信息,在肿瘤的定性诊断、临床治疗方式的选择、评估预后、疗效判断及预测复发等方面仍有不足。随着能谱CT及MR功能成像、分子影像等新技术的应用,诊断准确率有所提高。近年来,人工智能的兴起,能更有效、无创地预测脑膜瘤分级分型,进一步提高术前诊断准确率。作者就有关脑膜瘤分级分型的影像学研究予以综述。
基金supported by Chinese Academy of Sciences"100 people’project and the Open Research Station of Changbai Mountain Forest Ecosystem
文摘This paper depicted the physiographic landscape features and natural vegetation situation of study area (the eastern Jilin Province), and expatiates the definition, basic characters and its development of Ecological Land Classification (ELC). Based on the combination of relief map, satellite photography for study area and vegetation inventory data of 480 sample sites, a 5-class and a 15-class ecological land type map was concluded according to 4 important factors including slope, aspect, vegetation and elevation. Ecological Classification System (ECS) is a method to identify, characterize, and map ecosystems. The Ecological Land Type (ELT) was examined and applied initially in eastern Jilin Province.
文摘In this paper, the Adomian＇s decomposition method （ADM） is presented for finding the exact solutions of a more general biological population models. A new solution is constructed in power series. The fractional derivatives are described in the Caputo sense. To illustrate the reliability of the method, some examples are provided.
基金Supported by the National 11th Five-Year Science and Technology Supporting Plan of China(2006BAB02A02)Central South University Innovation funded projects (2009ssxt230, 2009ssxt234)
文摘A Fisher discriminant analysis （FDA） model for the prediction of classification of rockburst in deep-buried long tunnel was established based on the Fisher discriminant theory and the actual characteristics of the project. First, the major factors of rockburst, such as the maximum tangential stress of the cavern wall σθ, uniaxial compressive strength σc, uniaxial tensile strength or, and the elastic energy index of rock Wet, were taken into account in the analysis. Three factors, Stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet, were defined as the criterion indices for rockburst prediction in the proposed model. After training and testing of 12 sets of measured data, the discriminant functions of FDA were solved, and the ratio of misdiscrimina- tion is zero. Moreover, the proposed model was used to predict rockbursts of Qinling tunnel along Xi＇an-Ankang railway. The results show that three forecast results are identical with the actual situation. Therefore, the prediction accuracy of the FDA model is acceptable.
