随着电子健康记录(Electronic Health Record,EHR)的出现与广泛应用,基于EHR数据的预测模型可以起到早期检测和干预疾病的作用。异质属性在EHR数据中普遍存在,但是难以做到深度利用,因此可通过对数据样本进行异质属性融合的方法,为后续...随着电子健康记录(Electronic Health Record,EHR)的出现与广泛应用,基于EHR数据的预测模型可以起到早期检测和干预疾病的作用。异质属性在EHR数据中普遍存在,但是难以做到深度利用,因此可通过对数据样本进行异质属性融合的方法,为后续模型训练提供信息丰富的数据表征基础。本文设计一种高效的二阶段预测模型,用于解决重疾预测中存在的时效与成本等问题。该模型的第一阶段对病例样本进行粗粒度预测,将危重程度低的病例进行疾病初筛,起到提前分流病人的作用;第二阶段模型则基于第一阶段的粗滤结果,对潜在的危重病例进行更细粒度的预测。通过实验验证,经过异质属性融合处理后,在选择前6个时间点构造非时序模型时,二阶段模型可以较好地兼具疾病初筛以及疾病预测的效果。展开更多
属性网络嵌入旨在映射网络中的节点和链接关系到低维空间,同时保留其固有的结构和属性特征.异质属性网络中多种类型的节点和链接关系给网络嵌入学习提供了丰富的辅助信息,同时也带来了新的挑战.提出异质属性网络嵌入模型(heterogeneous ...属性网络嵌入旨在映射网络中的节点和链接关系到低维空间,同时保留其固有的结构和属性特征.异质属性网络中多种类型的节点和链接关系给网络嵌入学习提供了丰富的辅助信息,同时也带来了新的挑战.提出异质属性网络嵌入模型(heterogeneous attribute network embedding based on the PPMI,HANEP),旨在将网络中多种类型的节点和(或)多种类型的链接关系映射到低维、紧凑的空间,同时保护节点的属性特征和不同类型对象之间的异质链接承载的复杂、多样且丰富的语义信息.HANEP模型首先基于样本属性的相似性构建属性图、依据元路径抽取异质属性网络的拓扑结构,然后通过随机冲浪获得属性和拓扑概率共现(probabilistic co-occurrence,PCO)矩阵,并计算其正点对互信息(positive point-wise mutual information,PPMI),进而采用多个自编码器(auto-encoder,AE)捕捉节点属性和异质链接的本质信息.元路径可以捕捉异质网络中多种类型节点间的链接关系,构建属性图可以清晰描述节点属性的非线性流行结构,属性和拓扑的局部成对约束和图表示有助于整合节点属性和网络拓扑的一致性和互补性关系,PPMI表示可以捕捉属性和拓扑的高阶近邻信息及潜在的复杂非线性关系.在3个真实数据集上的实验结果验证了HANEP算法的有效性.展开更多
To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature （MSVC） methodology is presented in this paper. W...To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature （MSVC） methodology is presented in this paper. We also propose a fast algorithm for computing 3D volumetric curvature. In comparison to conventional volumetric curvature attributes, its main improvements and key algorithms introduce multi-frequency components expansion in time-frequency domain and the corresponding multi-scale adaptive differential operator in the wavenumber domain, into the volumetric curvature calculation. This methodology can simultaneously depict seismic multi-scale features in both time and space. Additionally, we use data fusion of volumetric curvatures at various scales to take full advantage of the geologic features and anomalies extracted by curvature measurements at different scales. The 3D MSVC can highlight geologic anomalies and reduce noise at the same time. Thus, it improves the interpretation efficiency of curvature attributes analysis. The 3D MSVC is applied to both land and marine 3D seismic data. The results demonstrate that it can indicate the spatial distribution of reservoirs, detect faults and fracture zones, and identify their multi-scale properties.展开更多
3D modeling of geological bodies based on 3D seismic data is used to define the shape and volume of the bodies, which then can be directly applied to reservoir prediction, reserve estimation, and exploration. However,...3D modeling of geological bodies based on 3D seismic data is used to define the shape and volume of the bodies, which then can be directly applied to reservoir prediction, reserve estimation, and exploration. However, multiattributes are not effectively used in 3D modeling. To solve this problem, we propose a novel method for building of 3D model of geological anomalies based on the segmentation of multiattribute fusion. First, we divide the seismic attributes into edge- and region-based seismic attributes. Then, the segmentation model incorporating the edge- and region-based models is constructed within the levelset- based framework. Finally, the marching cubes algorithm is adopted to extract the zero level set based on the segmentation results and build the 3D model of the geological anomaly. Combining the edge-and region-based attributes to build the segmentation model, we satisfy the independence requirement and avoid the problem of insufficient data of single seismic attribute in capturing the boundaries of geological anomalies. We apply the proposed method to seismic data from the Sichuan Basin in southwestern China and obtain 3D models of caves and channels. Compared with 3D models obtained based on single seismic attributes, the results are better agreement with reality.展开更多
A novel matrix metalloproteinase (MMP) was identified from leukocytes and found to be specifically expressedby peripheral blood leukocytes among 29 different tissuesexamined. Named leukolysin, it encodes for 562 resid...A novel matrix metalloproteinase (MMP) was identified from leukocytes and found to be specifically expressedby peripheral blood leukocytes among 29 different tissuesexamined. Named leukolysin, it encodes for 562 residueswith a conserved MMP structure, i.e., pre-, pro-, catalytic , hinge- and hemopexin-like domains, but also a RXK/RRmotif, known for its role in MMP zymogen activation, anda C-terminal hydrophobic segment. Overall, leukolysindisplays the strongest homology to the newly identifiedMT-MMP subgroup with 45% and 39% identities to MT4and MT1-MMPs vs 30% and 31.5% to MMP1 and 3 respectively. Unlike MT4-MMP whose proteolytic activityremains undefined, a C-terminally truncated leukolysin isexpressed as a strong gelatinolytic species at 28 kDa whichis derived from a cell-associated 34 kDa proenzyme, presumably by furin or proprotein convertase mediated removal of the propeptide (-6 kDa). By green fluorescentprotein (GFP) tagging, the intracellular proenzyme is localized to granules throughout the cell, suggesting thatactivation occur immediately prior to secretion. Taken together, leukolysin may be part of the proteolytic arsenaldeployed by leukocytes during inflammatory responses.展开更多
Volatility of commodity prices has affected dramatically the coffee industry in recent years, particularly small holder farmers. Differentiation of coffee through certification, such as sustainahility and quality attr...Volatility of commodity prices has affected dramatically the coffee industry in recent years, particularly small holder farmers. Differentiation of coffee through certification, such as sustainahility and quality attributes, has been proposed as a strategy for protection of the farmers against volatility in the international prices. This research paper evaluated three different models to explore the effectiveness of the differentiation strategies in protecting the farmer against price volatility in recent years, focusing on the case of Costa Rica. Evidence showed important differences in the price dynamics over time when comparing three groups of coffee.展开更多
Considering the effect of one-gluon-exchange interaction between quarks,the color-flavor locked strange quark matter and strange stars are investigated in a new quark mass density-dependent model.It is found that the ...Considering the effect of one-gluon-exchange interaction between quarks,the color-flavor locked strange quark matter and strange stars are investigated in a new quark mass density-dependent model.It is found that the color-flavor locked strange quark matter can be more stable if the one-gluon-exchange effect is included.The lower density behavior of the sound velocity in this model is different from the previous results.Moreover,the new equation of state leads to a heavier acceptable maximum mass,supporting the recent observation of a compact star mass as large as about 2 times the solar mass.展开更多
The atomic structure and associated deformation behavior of metallic glasses(MGs)have been long standing issues.Although recent computational/experimental results indicate that the structure of MGs is heterogeneous at...The atomic structure and associated deformation behavior of metallic glasses(MGs)have been long standing issues.Although recent computational/experimental results indicate that the structure of MGs is heterogeneous at the nano scale,the fundamental knowledge of the atomic basis for such structural heterogeneity and its impact on the overall properties of MGs is still lacking.We reviewed recent research on unraveling the structure heterogeneity in MGs,with emphases on the use of dynamic atomic force microscopy,the characterization of glass anelasticity by nanoindentation,and the establishment of numerous correlations with structural heterogeneity.展开更多
Noble metal-free electrocatalysts with high activity are highly desirable for the large-scale application of hydrogen evolution reaction(HER). Mo_(2) C-based nanomaterials have been proved as a promising alternative t...Noble metal-free electrocatalysts with high activity are highly desirable for the large-scale application of hydrogen evolution reaction(HER). Mo_(2) C-based nanomaterials have been proved as a promising alternative to noble metal-based electrocatalysts owing to the Pt-resembled d-band density and optimal intermediates-adsorption properties.However, the aggregation and excessive growth of crystals often occur during their high-temperature synthesis procedure, leading to low catalytic utilization. In this study, the ultrafine Mo_(2) C/Mo_(2) N heterostructure with large surface and interface confined in the N-doped carbon nanofibers(NCNFs) was obtained by a melamine-assisted method. The synergistic effect of Mo_(2) C/Mo_(2) N heterostructure and plenty active sites exposed on the surface of ultrafine nanocrystals improves the electrocatalytic activity. Meanwhile, the N-CNFs ensure fast charge transfer and high structural stability during reactions. Moreover, the in-situ synthesis method strengthens the interfacial coupling interactions between Mo_(2)C/Mo_(2) N heterostructure and N-CNFs, further enhancing the electronic conductivity and electrocatalytic activity. Owing to these advantages, Mo_(2)C/Mo_(2) N@N-CNFs exhibit excellent HER performance with a low overpotential of 75 mV at a current density of 10 mV cm^(-2) in alkaline solution, superior to the single-phased Mo_(2)C counterpart and recently reported Mo_(2)C/Mo_(2) N-based catalysts. This study highlights a new effective strategy to design efficient electrocatalysts via integrating heterostructure, nanostructure and carbon modification.展开更多
文摘随着电子健康记录(Electronic Health Record,EHR)的出现与广泛应用,基于EHR数据的预测模型可以起到早期检测和干预疾病的作用。异质属性在EHR数据中普遍存在,但是难以做到深度利用,因此可通过对数据样本进行异质属性融合的方法,为后续模型训练提供信息丰富的数据表征基础。本文设计一种高效的二阶段预测模型,用于解决重疾预测中存在的时效与成本等问题。该模型的第一阶段对病例样本进行粗粒度预测,将危重程度低的病例进行疾病初筛,起到提前分流病人的作用;第二阶段模型则基于第一阶段的粗滤结果,对潜在的危重病例进行更细粒度的预测。通过实验验证,经过异质属性融合处理后,在选择前6个时间点构造非时序模型时,二阶段模型可以较好地兼具疾病初筛以及疾病预测的效果。
文摘属性网络嵌入旨在映射网络中的节点和链接关系到低维空间,同时保留其固有的结构和属性特征.异质属性网络中多种类型的节点和链接关系给网络嵌入学习提供了丰富的辅助信息,同时也带来了新的挑战.提出异质属性网络嵌入模型(heterogeneous attribute network embedding based on the PPMI,HANEP),旨在将网络中多种类型的节点和(或)多种类型的链接关系映射到低维、紧凑的空间,同时保护节点的属性特征和不同类型对象之间的异质链接承载的复杂、多样且丰富的语义信息.HANEP模型首先基于样本属性的相似性构建属性图、依据元路径抽取异质属性网络的拓扑结构,然后通过随机冲浪获得属性和拓扑概率共现(probabilistic co-occurrence,PCO)矩阵,并计算其正点对互信息(positive point-wise mutual information,PPMI),进而采用多个自编码器(auto-encoder,AE)捕捉节点属性和异质链接的本质信息.元路径可以捕捉异质网络中多种类型节点间的链接关系,构建属性图可以清晰描述节点属性的非线性流行结构,属性和拓扑的局部成对约束和图表示有助于整合节点属性和网络拓扑的一致性和互补性关系,PPMI表示可以捕捉属性和拓扑的高阶近邻信息及潜在的复杂非线性关系.在3个真实数据集上的实验结果验证了HANEP算法的有效性.
基金supported by the National Natural Science Foundation of China (No. 41004054) Research Fund for the Doctoral Program of Higher Education of China (No. 20105122120002)Natural Science Key Project, Sichuan Provincial Department of Education (No. 092A011)
文摘To fully extract and mine the multi-scale features of reservoirs and geologic structures in time/depth and space dimensions, a new 3D multi-scale volumetric curvature （MSVC） methodology is presented in this paper. We also propose a fast algorithm for computing 3D volumetric curvature. In comparison to conventional volumetric curvature attributes, its main improvements and key algorithms introduce multi-frequency components expansion in time-frequency domain and the corresponding multi-scale adaptive differential operator in the wavenumber domain, into the volumetric curvature calculation. This methodology can simultaneously depict seismic multi-scale features in both time and space. Additionally, we use data fusion of volumetric curvatures at various scales to take full advantage of the geologic features and anomalies extracted by curvature measurements at different scales. The 3D MSVC can highlight geologic anomalies and reduce noise at the same time. Thus, it improves the interpretation efficiency of curvature attributes analysis. The 3D MSVC is applied to both land and marine 3D seismic data. The results demonstrate that it can indicate the spatial distribution of reservoirs, detect faults and fracture zones, and identify their multi-scale properties.
基金supported by the National Natural Science Foundation of China(No.41604107)the Scientific Research Staring Foundation of University of Electronic Science and Technology of China(No.ZYGX2015KYQD049)
文摘3D modeling of geological bodies based on 3D seismic data is used to define the shape and volume of the bodies, which then can be directly applied to reservoir prediction, reserve estimation, and exploration. However, multiattributes are not effectively used in 3D modeling. To solve this problem, we propose a novel method for building of 3D model of geological anomalies based on the segmentation of multiattribute fusion. First, we divide the seismic attributes into edge- and region-based seismic attributes. Then, the segmentation model incorporating the edge- and region-based models is constructed within the levelset- based framework. Finally, the marching cubes algorithm is adopted to extract the zero level set based on the segmentation results and build the 3D model of the geological anomaly. Combining the edge-and region-based attributes to build the segmentation model, we satisfy the independence requirement and avoid the problem of insufficient data of single seismic attribute in capturing the boundaries of geological anomalies. We apply the proposed method to seismic data from the Sichuan Basin in southwestern China and obtain 3D models of caves and channels. Compared with 3D models obtained based on single seismic attributes, the results are better agreement with reality.
文摘A novel matrix metalloproteinase (MMP) was identified from leukocytes and found to be specifically expressedby peripheral blood leukocytes among 29 different tissuesexamined. Named leukolysin, it encodes for 562 residueswith a conserved MMP structure, i.e., pre-, pro-, catalytic , hinge- and hemopexin-like domains, but also a RXK/RRmotif, known for its role in MMP zymogen activation, anda C-terminal hydrophobic segment. Overall, leukolysindisplays the strongest homology to the newly identifiedMT-MMP subgroup with 45% and 39% identities to MT4and MT1-MMPs vs 30% and 31.5% to MMP1 and 3 respectively. Unlike MT4-MMP whose proteolytic activityremains undefined, a C-terminally truncated leukolysin isexpressed as a strong gelatinolytic species at 28 kDa whichis derived from a cell-associated 34 kDa proenzyme, presumably by furin or proprotein convertase mediated removal of the propeptide (-6 kDa). By green fluorescentprotein (GFP) tagging, the intracellular proenzyme is localized to granules throughout the cell, suggesting thatactivation occur immediately prior to secretion. Taken together, leukolysin may be part of the proteolytic arsenaldeployed by leukocytes during inflammatory responses.
文摘Volatility of commodity prices has affected dramatically the coffee industry in recent years, particularly small holder farmers. Differentiation of coffee through certification, such as sustainahility and quality attributes, has been proposed as a strategy for protection of the farmers against volatility in the international prices. This research paper evaluated three different models to explore the effectiveness of the differentiation strategies in protecting the farmer against price volatility in recent years, focusing on the case of Costa Rica. Evidence showed important differences in the price dynamics over time when comparing three groups of coffee.
基金support from the National Natural Science Foundation of China (Grant Nos.11135011 and 11045006)the Key Project of Chinese Academy of Sciences (No.Y12A0A0012)
文摘Considering the effect of one-gluon-exchange interaction between quarks,the color-flavor locked strange quark matter and strange stars are investigated in a new quark mass density-dependent model.It is found that the color-flavor locked strange quark matter can be more stable if the one-gluon-exchange effect is included.The lower density behavior of the sound velocity in this model is different from the previous results.Moreover,the new equation of state leads to a heavier acceptable maximum mass,supporting the recent observation of a compact star mass as large as about 2 times the solar mass.
基金supported by the Research Grant Council(RGC)of the government of Hong Kong through the General Research Fund(Grant No.City U 117612)GRC(Grant No.City U 530711)
文摘The atomic structure and associated deformation behavior of metallic glasses(MGs)have been long standing issues.Although recent computational/experimental results indicate that the structure of MGs is heterogeneous at the nano scale,the fundamental knowledge of the atomic basis for such structural heterogeneity and its impact on the overall properties of MGs is still lacking.We reviewed recent research on unraveling the structure heterogeneity in MGs,with emphases on the use of dynamic atomic force microscopy,the characterization of glass anelasticity by nanoindentation,and the establishment of numerous correlations with structural heterogeneity.
基金supported by the National Natural Science Foundation of China (51932011,51872334,51874326 and 51572299)the Natural Science Foundation of Hunan Province for Distinguished Young Scholars (2018JJ1036)the Independent Exploration and Innovation Project for graduate students of the Central South University (2019zzts049)。
文摘Noble metal-free electrocatalysts with high activity are highly desirable for the large-scale application of hydrogen evolution reaction(HER). Mo_(2) C-based nanomaterials have been proved as a promising alternative to noble metal-based electrocatalysts owing to the Pt-resembled d-band density and optimal intermediates-adsorption properties.However, the aggregation and excessive growth of crystals often occur during their high-temperature synthesis procedure, leading to low catalytic utilization. In this study, the ultrafine Mo_(2) C/Mo_(2) N heterostructure with large surface and interface confined in the N-doped carbon nanofibers(NCNFs) was obtained by a melamine-assisted method. The synergistic effect of Mo_(2) C/Mo_(2) N heterostructure and plenty active sites exposed on the surface of ultrafine nanocrystals improves the electrocatalytic activity. Meanwhile, the N-CNFs ensure fast charge transfer and high structural stability during reactions. Moreover, the in-situ synthesis method strengthens the interfacial coupling interactions between Mo_(2)C/Mo_(2) N heterostructure and N-CNFs, further enhancing the electronic conductivity and electrocatalytic activity. Owing to these advantages, Mo_(2)C/Mo_(2) N@N-CNFs exhibit excellent HER performance with a low overpotential of 75 mV at a current density of 10 mV cm^(-2) in alkaline solution, superior to the single-phased Mo_(2)C counterpart and recently reported Mo_(2)C/Mo_(2) N-based catalysts. This study highlights a new effective strategy to design efficient electrocatalysts via integrating heterostructure, nanostructure and carbon modification.
