Efficient Skyline and Top-k Retrieval in Subspaces

Skyline and top-k queries are two popular operations for preference retrieval. In practice, applications that require these operations usually provide numerous candidate attributes, whereas, depending on their interests, users may issue queries regarding different subsets of the dimensions. The existing algorithms are inadequate for subspace skyline/top-k search because they have at least one of the following defects: 1) they require scanning the entire database at least once, 2) they are optimized for one subspace but incur significant overhead for other subspaces, or 3) they demand expensive maintenance cost or space consumption. In this paper, we propose a technique SUBSKY, which settles both types of queries by using purely relational technologies. The core of SUBSKY is a transformation that converts multidimensional data to one-dimensional (1D) values. These values are indexed by a simple B-tree, which allows us to answer subspace queries by accessing a fraction of the database. SUBSKY entails low maintenance overhead, which equals the cost of updating a traditional B-tree. Extensive experiments with real data confirm that our technique outperforms alternative solutions significantly in both efficiency and scalability.     

LiMn2O4纳米粉的湿化学合成与表征

采用湿化学方法，通过水溶液中的化学反应直接合成纳米级LiMn2O4化合物，其结构基本上为无定型，但XRD图谱中已出现LiMn2O4特征峰，说明在水溶液中已初步形成尖晶石结构，运用XRD，SEM，TG－DTA等现代检测手段对样品的性能进行进行了表征，XRD及SEM等分析结果表明，合成样品经简单热处理后，晶型结构完善，形貌规整，均匀，比表面积积显著减小，粒度明显变粗。TG－DTA热分析证明，样品在低于900℃的温度下进行热处理时，仅发生LiMn2O4的晶化过程，产物的化学组成稳定，该法合成锂离子电池正极材料LiMn2O4，具有工艺流程简单，产物的成分，结构及粒度均匀等特点。     

激光熔覆用钴基合金粉末的研究

对激光熔覆用WFLC－11钴基合金粉末的激光熔覆工艺和熔覆层性能进行了研究，获得了WFLC－11钴基合金粉末激光熔覆层厚度与最小比能量关系曲线和熔覆层的组织、高温硬度等性能数据，为选择和使用WFLC－11钴基合金粉末提供了依据。     

N-Methyl-D-aspartate attenuates opioid receptor-mediated G protein activation and this process involves protein kinase C

The effects of N-methyl-D-aspartate (NMDA) on opioid receptor-mediated G protein activation were explored in neuroblastoma X glioma hybrid (NG108-15) cells. Treatment of the cells with NMDA resulted in a remarkable attenuation of [35S]guanosine-5'-O-(3-thio)triphosphate binding stimulated by [D-Pen2,D-Pen5]-enkephalin (DPDPE), a delta-opioid receptor agonist. The effects of NMDA were dose and time dependent with an IC50 value of 5 nM and could be blocked by NMDA receptor antagonists. After NMDA treatment, the DPDPE dose-response curve shifted to the right (EC50 value increased approximately 7-fold, from 6 to 40 nM), and the maximal response induced by DPDPE was reduced by approximately 60%. The effects of NMDA were reversible, and the DPDPE response could recover within 60 min. The functional responses of delta-, mu-, and kappa-opioid receptors in primarily cultured neurons also were attenuated significantly by NMDA treatment. The inhibitory effects of NMDA on opioid receptor-mediated G protein activation could be blocked by coadministration of the protein kinase C (PKC) inhibitors or by elimination of the extracellular Ca2+. Correspondingly, NMDA treatment of NG108 cells significantly elevated cellular PKC activity and stimulated Gialpha2 phosphorylation. Transient transfection into NG108-15 cells of the wild-type Gialpha2 and a mutated Gialpha2 (Ser144Ala) resulted in a 2-fold increase in DPDPE-stimulated G protein activation. The DPDPE responses were greatly inhibited by NMDA treatment in the wild-type Gialpha2-transfected cells but much less affected in the mutant Gialpha2-transfected cells. In summary, NMDA attenuates opioid receptor/G protein coupling, and this process requires activation of PKC.     

A variational method for contour tracking via covariance matching

This paper presents a novel formulation for contour tracking.We model the second-order statistics of image regions and perform covariance matching under the variational level set framework.Specifically,covariance matrix is adopted as a visual object representation for partial differential equation(PDE) based contour tracking.Log-Euclidean calculus is used as a covariance distance metric instead of Euclidean distance which is unsuitable for measuring the similarities between covariance matrices,because the matrices typically lie on a non-Euclidean manifold.A novel image energy functional is formulated by minimizing the distance metric between the candidate object region and a given template,and maximizing the one between the background region and the template.The corresponding gradient flow is then derived according to a variational approach,enabling partial differential equations(PDEs) based contour tracking.Experiments on several challenging sequences prove the validity of the proposed method.     

点云模型的谱聚类分割

为了实现点云模型的有意义分割,提出一种基于谱聚类的分割算法.首先用图G表示点云模型,将分割问题转化为图切割问题;然后根据归一化的非对称Laplacian矩阵构造谱聚类空间;最后通过移除掉多余的特征向量,在一个更低维的空间中找到了分割问题的松弛解.文中还给出了该算法相关定理的证明,并通过实验验证了算法的正确性和有效性.     

城市水土保持区划及功能性评价研究——以宜昌市为例

目前全国地级市水土保持区划工作滞后,宜昌市作为湖北省域副中心城市,城市水土流失严重。为突出地方特色、因地制宜地指导地方水土保持区划工作的落地实施,以宜昌市为例,在国家、省级水土保持区划成果的基础上,紧密结合宜昌市地方特点,逐步进行细化,形成宜昌市水土保持四级区划,并对区划成果进行基本功能分析评价。 宜昌市水土保持区划使用四级分区体系,前三级区划沿用国家水土保持区划中一级、二级、三级分区范围;四级区被分为6个水土保持片区:沿江平原丘陵农田防护区、香溪河山地生态维护区、三峡库区山地丘陵保土区、沮漳河山地丘陵保土区、清江山地水源涵养保土区以及中心城区人居环境维护区。全市共涉及5个水土保持基本功能,分别为农田防护、生态维护、土壤保持、水源涵养和人居环境维护。地级市水土保持区划分区既要在国家、省级水土保持区划基础上进行,同时还需突出地方特点,因地制宜。宜昌市水土流失治理应坚持预防为主,保护水源,并加强水土保持重点监管。     

湖库疏浚技术及淤积物资源化利用技术进展

文章介绍了我国部分河湖水库的淤积现状,评述了当前国内外对河湖疏浚设备和淤泥资源化利用的几种主要途径,包括物理利用、生物处理以及化学处理方法等,同时对新型的干馏法进行了介绍,指出了未来淤泥资源化利用的主要发展方向.     

众筹项目推荐:面向隐式反馈的深度学习协同过滤

目前,在推荐系统研究中,用户的隐式反馈,以及极度稀疏的数据,已成为影响协同过滤推荐效果的主要问题.针对这一现象,本文提出了深度学习协同过滤算法,先利用卷积神经网络,对用户-项目矩阵的隐层特征进行学习,再结合协同过滤,对用户-项目的交互信息进行建模,并将两种特征融合预测推荐列表.以众筹平台的数据为实验对象,比较模型中各参数对推荐效果的影响,并设计与基线方法的对比实验.实验结果表明:均匀采集负反馈,并在一定卷积层数的网络中,数据稀疏度越高,效果越好;对比基线方法,本文提出的算法在公开数据集(Yahoo!Movie)上取得了最好的推荐结果.本文提出的算法有助于提高众筹平台的融资成功率,同时也丰富了推荐系统的研究体系.