基于关联规则的文档智能查寻算法研究

针对经典关联规则在解决与其他应用领域相关的概念、完备频繁项目集和高效算法的定义等问题上的缺陷,提出了一种关联规则算法,在文档智能查询的应用问题上,此算法有效地解决了这些问题,实验表明此关联规则算法在文档智能查询项目中,得到了良好的应用效果.     

露天转地下嵌入式复合型人工境界矿柱构建

针对传统方法处理露天坑底的矿量损失大、隔离效果差等缺陷,提出采用地下开采方法对露天坑底的矿体进行回采,铺设底部结构,使用混凝土充填采空区,构建露天转地下矿山嵌入式复合型境界矿柱的新方法.利用嵌入式复合结构对充填体进行连接,在完成进路假底铺设、进路充填、进路与围岩间、进路与进路间、进路与沟槽间的锚固连接后,形成完整的覆盖矿体的10m厚的人工境界矿柱.数值计算表明,嵌入式复合型人工矿柱的施工过程对于边坡的应力场与塑性区影响不大,不会对边坡的稳定性产生影响.工程实践表明,嵌入式复合型人工矿柱铺设的同时对矿体进行回收,回收率可达95%,铺设的境界矿柱密闭性良好,具有隔水、防洪、承压能力,能很好地隔离露天地下相互影响.     

以语篇为基础的翻译教学新探

篇章语言学的兴起为翻译研究与教学提供了新的研究视角和路径。以语篇为基础的翻译教学具备比以句子为基础的翻译教学更多优势,国内已经有学者建议以语篇取代句子作为翻译教学的基本单位。除此之外,语言输出与输入理论和图式理论也为以语篇为单位的翻译教学提供了理论支撑和教学方法上的启示。     

Recent Advances in Discovery of Lead Structures from Microbial Natural Products: Genomics- and Metabolomics-Guided Acceleration

Natural products (NPs) are evolutionarily optimized as drug-like molecules and remain the most consistently successful source of drugs and drug leads. They offer major opportunities for finding novel lead structures that are active against a broad spectrum of assay targets, particularly those from secondary metabolites of microbial origin. Due to traditional discovery approaches’ limitations relying on untargeted screening methods, there is a growing trend to employ unconventional secondary metabolomics techniques. Aided by the more in-depth understanding of different biosynthetic pathways and the technological advancement in analytical instrumentation, the development of new methodologies provides an alternative that can accelerate discoveries of new lead-structures of natural origin. This present mini-review briefly discusses selected examples regarding advancements in bioinformatics and genomics (focusing on genome mining and metagenomics approaches), as well as bioanalytics (mass-spectrometry) towards the microbial NPs-based drug discovery and development. The selected recent discoveries from 2015 to 2020 are featured herein.     

基于数据挖掘的入侵检测技术精确度研究

入侵检测系统一直以来都是多层安全体系架构不可或缺的一部分,与传统的防御解决方案相比,基于数据挖掘的入侵检测有着较高的精确度,并能有效地识别未知的入侵模式.然而,伪肯定率的存在也一直影响着基于数据挖掘的入侵检测系统的深入研究.笔者分析影响入侵检测精确度的因素,提出了一种基于数据挖掘的有效提高精确度和降低伪肯定率的入侵检测方法.     

Internet路由前缀宣告的特征挖掘与分析

基于大量的历史BGP路由表快照,对BGP路由宣告信息进行深度挖掘.提出了前缀宣告稳定性度量方法,验证了绝大多数路由宣告是稳定的,历史上发生的路由劫持事件都是瞬时的(不具备稳定性);设计了前缀宣告的相似性测度算法,对大量历史BGP路由宣告进行了分析,结果表明大多数大型AS宣告的路由前缀具有自相似性,即,同一个AS宣告的多个路由前缀有一定的连续性.基于以上两个特征,从历史路由信息中可进一步提取前缀宣告的可信集,构造BGP路由宣告的可信知识库,为后续的路由前缀劫持检测和路由安全监测提供依据.     

Gaining insight into student satisfaction using comprehensible data mining techniques

As a consequence of the heightened competition on the education market, the management of educational institutions often attempts to collect information on what drives student satisfaction by e.g. organizing large scale surveys amongst the student population. Until now, this source of potentially very valuable information remains largely untapped. In this study, we address this issue by investigating the applicability of different data mining techniques to identify the main drivers of student satisfaction in two business education institutions. In the end, the resulting models are to be used by the management to support the strategic decision making process. Hence, the aspect of model comprehensibility is considered to be at least equally important as model performance. It is found that data mining techniques are able to select a surprisingly small number of constructs that require attention in order to manage student satisfaction.     

Properties and performance of BaxSr1−xCo0.8Fe0.2O3−δ materials for oxygen transport membranes

The present paper discusses the oxygen transport properties, oxygen stoichiometry, phase stability, and chemical and mechanical stability of the perovskites (BSCF) and (SCF) for air separation applications. The low oxygen conductive brownmillerite phase in SCF is characterized using in-situ neutron diffraction, thermographic analysis and temperature programmed desorption but this phase is not present for BSCF under the conditions studied. Although both materials show oxygen fluxes well above 10 ml/cm²·min at T=1,273 K and pO₂=1 bar for self-supporting, 200 μm-thick membranes, BSCF is preferred as a membrane material due to its phase stability. However, BSCF’s long-term stable performance remains to be confirmed. The deviation from ideal oxygen stoichiometry for both materials is high: δ>0.6. The thermal expansion coefficients of BSCF and SCF are 24×10⁻⁶ and 30×10⁻⁶ K⁻¹, respectively, as determined from neutron diffraction data. The phenomenon of kinetic demixing has been observed at pO₂<10⁻⁵ bar, resulting in roughening of the surface and enrichment with alkaline earth metals. Stress–strain curves were determined and indicated creep behavior that induces undesired ductility at T=1,073 K for SCF. Remedies for mechanical and chemical instabilities are discussed.     

Feature vector clustering molecular pairs in computer simulations

A clustering framework is introduced to analyze the microscopic structural organization of molecular pairs in liquids and solutions. A molecular pair is represented by a representative vector (RV). To obtain RV, intermolecular atom distances in the pair are extracted from simulation trajectory as components of the key feature vector (KFV). A specific scheme is then suggested to transform KFV to RV by removing the influence of permutational molecular symmetry on the KFV as the predicted clusters should be independent of possible permutations of identical atoms in the pair. After RVs of pairs are obtained, a clustering analysis technique is finally used to classify all the RVs of molecular pairs into the clusters. The framework is applied to analyze trajectory from molecular dynamics simulations of an ionic liquid (trihexyltetradecylphosphonium bis(oxalato)borate ([P_6,6,6,14][BOB])). The molecular pairs are successfully categorized into physically meaningful clusters, and their effectiveness is evaluated by computing the product moment correlation coefficient (PMCC). (Willett, Winterman, and Bawden, J. Chem. Inf. Comput. Sci. 1986, 26, 109–118; Downs, Willett, and Fisanick, J. Chem. Inf. Comput. Sci. 1994, 34, 1094–1102) It is observed that representative configurations of two clusters are related to two energy local minimum structures optimized by density functional theory (DFT) calculation, respectively. Several widely used clustering analysis techniques of both nonhierarchical (k-means) and hierarchical clustering algorithms are also evaluated and compared with each other. The proposed KFV technique efficiently reveals local molecular pair structures in the simulated complex liquid. It is a method, which is highly useful for liquids and solutions in particular with strong intermolecular interactions. © 2019 Wiley Periodicals, Inc.