.NET项目中利用LLBLGen实现O/R Mapping

该文介绍了在.NET中如何利用LLBLGen工具实现ORMAPPING(即生成持久层),并结合实例给出详细生成过程以及调用示例。

基于ADO.NET的O/R Mapping中间件的研究

目前大多数软件开发都采用面向对象技术,而数据仍然保存在关系数据库中。由于对象模型和关系模型存在阻抗不匹配,因此实现对象与关系的映射已成为软件开发领域的关键问题。采用O/R M app ing(对象/关系映射)技术、XM L技术和软件分层的设计思想,实现了一个有效的数据库访问中间件,解决了利用ADO.NET开发应用程序遇到的数据表示和存取问题。

工作流系统中角色管理的O/R Mapping策略研究

面向对象编程是当前软件开发的主要方法,而关系数据库在短期内有其不可替代的地位,因此,怎样实现对象模型到关系模型的映射就成了软件开发中一个重要的问题。本文结合一个工作流管理系统的开发过程,说明了O/RMapping(Object Relational Mapping)的映射策略及其在软件开发中的重要性。

Grove在O/R Mapping中的应用

本文论述了O/R Mapping的运行机制和在.NET应用程序开发中应用Grove工具如何实现O/R Mapping映射框架。

大学生信息成瘾行为的触发路径与干预策略:基于S-O-R理论视角

[目的/意义]文章以大学生为研究对象,探究该群体信息成瘾行为的影响机制,为大学生信息成瘾行为的预防和管理提供价值参考。[方法/过程]引入刺激-机体-反应(S-O-R)理论,利用文献梳理总结大学生信息成瘾过程中的外部刺激,深度剖析机体在成瘾过程中产生的认知心理,构建大学生信息成瘾行为理论模型,运用结构方程模型实证分析大学生信息成瘾的触发路径。[结果/结论]研究结果表明,信息过载、间歇性奖励和行为管理会显著正向影响大学生的不确定性回避,进而导致大学生信息成瘾。同时,信息过载也会使大学生产生信息焦虑,信息焦虑显著正向影响大学生信息成瘾行为。面向高等院校、大学生群体和科技企业,提出针对性建议与对策,有助于完善高等院校管理体系,促进学生适应信息化环境,推动高等教育事业更好发展。

Adaptive XML to relational mapping: an integrated approach

Storing and querying XML (eXtensible Markup Language) data in relational form can exploit various services offered by modern relational database management systems (RDBMSs). Due to structural complexity of XML, there are many equivalent relational mapping schemes for the same XML data and queries. In this paper, we propose the adaptive XML to relational mapping (AX2RM) system, which considers finding optimal XML to relational (X2R) mapping as four separate but correlated procedures: logical database design, data scale estimation, workload transformation, and physical database design. We view the whole process as an autonomic computing problem and formalize the adaptive X2R mapping problem. Search spaces for each procedure are investigated individually, and five approaches for finding the optimal mapping are studied. We propose an integrated approach with greedy pruning (IT-GP), which views the mapping procedures as a whole and exploits heuristic rules in each procedure to prune impossible mappings as early as possible. Evaluation of these approaches shows the validity and high efficiency of IT-GP.

Weakly R-KKM mappings-intersection theorems and minimax inequalities in topological spaces

In this paper, we introduce the concepts of weakly R-KKM mappings, R- convex and R-β-quasiconvex in general topological spaces without any convex structure. Relating to these, we obtain an extension to general topological spaces of Fan＇s matching theorem, namely that Lemma 1.2 in this paper. On this basis, two intersection theorems are proved in topological spaces. By using intersection theorems, some minimax inequalities of Ky Fan type are also proved in topological spaces. Our results generalize and improve the corresponding results in the literature.

Feature Modeling and Variability Modeling Syntactic Notation Comparison and Mapping

Feature Model (FM) became an important role in Software Product Line Engineering (SPLE) field. Many approaches have been introduced since the original FM came up with Feature Oriented Domain Analysis (FODA) introduced by Kang in 1990. The main purpose of FM is used for commonality and variability analysis in domain engineering, to optimize the reusable aspect of software features or components. Cardinality-based Feature Model (CBFM) is one extension of original FM, which integrates several notations of other extensions. In CBFM, feature model defined as hierarchy of feature, with each of feature has a cardinality. The other notation to express variability within SPLE is Orthogonal Variability Model (OVM). At the other hand, OMG as standard organization makes an effort to build standard generic language to express the commonality and variability in SPL field, by initiate Common Variability Language (CVL). This paper reports the comparison and mapping of FODA, CBFM and OVM to CVL where need to be explored first to define meta model mapping of these several approaches. Furthermore, the comparison and mapping of those approaches are discussed in term of R3ST (read as “REST”) software feature model as the case study.

Landslide-Dammed Mapping and Logistic Regression Modeling Using GIS and R Statistical Software in the Northeast Afghanistan

A complex terrain and topography resulted in an enormous landslide-dammed area northeast of Afghanistan. Moreover, debris, rock avalanches, and landslides occurrences are the primary source of lakes created within the area. Recently, instances have increased because of the high displacement and mass movement by glacial and seismic activities. In this study, using GIS and R statistical software, we performed a logistic regression modeling in order to map and predict the probability of landslides-dammed occurrences. Totally, 361 lakes were mapped using Google Earth historical imagery. This total was divided into 253 （70%） lakes for modeling and 801 （30%） lakes for the model validation. They were randomly selected by creating a fishnet for the study area using Arc toolbox in GIS. Four independent variables that are mostly contributed to landslide-dammed occurrences consisting of slope angles, relief classes, distances to major water sources and earthquake epicenters, were extracted from DEM （digital elevation model） data using 85-meter resolution. The result is a grid map that classified the area into Low （16,834.98 km2）, Medium （2,217.302 kin：） and High （2,013.55 km2） vulnerability to landslide-dammed occurrences. Overall, the model result has been validated by using a ROC （receiver operator characteristic） curve available in SPSS software. The model validation showed a 95.1 percent prediction accuracy that is considered satisfactory.

O／R Mapping思想与ADO．NET

微软公司一直没有提供O／R Mapping方面的支持，甚至是建议或者指导，但是这并不妨碍O／R Mapping技术在微软社区的大量的讨论。事实上，随着Hibernate这样的系统越来越成为J2EE方案的基础设施，再加上“企业级应用”、“架构”、“模式”等等时髦词汇的吸引，．NET开发者们也开始把注意力放到了这个重要的话题——O／R Mapping。

Common Fixed Point Theorem in Intuitionistic Fuzzy Metric Space Using <i>R</i>-Weakly Commuting Mappings

In this paper, we prove a common fixed point theorem in Intuitionistic fuzzy metric space by using pointwise R-weak commutativity and reciprocal continuity of mappings satisfying contractive conditions.

An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases

For integrating relational databases (RDBs) into semantic web applications, the W3C RDB2RDF Working Group recommended two approaches, Direct Mapping (DM) and R2RML. The DM provides a set of mapping rules according to RDB schema, while the R2RML allows users to manually define mappings according to existing target ontology. The major problem to use R2RML is the effort for creating R2RML mapping documents manually. This may lead to appearance of many mistakes in the R2RML documents and requires domain experts. In this paper, we propose and implement an approach to generate an R2RML mapping documents automatically from RDB schema. The R2RML mapping reflects the behavior of the DM specification and allows any R2RML parser to generate a set of RDF triples from relational data.The input of generating approach is DBsInfo class that automatically generated from relational schema. An experimental prototype is developed and shows the effectiveness of our approach algorithms.

Hot deformation and processing maps of Al_2O_3/Al composites fabricated by flake powder metallurgy

The deformation behaviors of Al2O3/Al composites were investigated by compressive tests conducted at temperature of 300-450 °C and strain rates of 0.001-1.0 s-1 with Gleeble-1500 D thermal simulator system. The results show that the flow stress increases with increasing strain rate and decreasing temperature. The hyperbolic sine constitutive equation can describe the flow stress behavior of Al2O3/Al composites, and the deformation activation energy and constitutive equations were calculated. The processing maps of Al2O3/Al-2 μm and Al2O3/Al-1 μm composites at strain of 0.6 were obtained and the optimum processing domains are in ranges of 300-330 °C, 0.007-0.03 s-1 and 335-360 °C, 0.015-0.06 s-1 for hot working, respectively. The instability zones of flow behavior can also be recognized by the maps.

基于S-O-R模型的视觉营销对消费者购买意愿的影响研究——以红色文创网店为例

为提高红色文创网店的点击转化率,文章从消费者视角出发,研究影响消费者购买意愿的视觉因素。基于S-O-R模型理论,构建红色文创网店视觉营销对消费者购买意愿因素的理论模型。利用S-O-R模型分析了红色文创网店视觉营销中的商品形象、界面形象以及品牌视觉形象对顾客感知价值及顾客购买意向的影响。通过设计量表和调查问卷进行实证研究,并结合结构方程模型加以论证,得出品牌视觉形象和界面形象是影响消费者购买意愿的关键因素,为设计师和红色文创品牌进行网店设计提供了一定的理论参考和建议。

信息性还是娱乐性?——基于S-O-R模型的政务短视频媒介使用及其效果研究

政务短视频是时下较受欢迎的政务新媒体,用户主要在信息性和娱乐性两个维度对其接触和使用。基于S-O-R模型的调查分析表明,政务短视频媒介使用对媒介可信度、用户持续使用意愿主要产生间接影响,且通过政治知识和绩效感知两个变量产生中介效应。其中,政务短视频的使用频率和信息性使用透过政治知识变量对媒介可信度产生显著的正向影响,但娱乐性使用的作用机制为负向。政治知识对用户持续使用意愿的效果路径无显著影响。绩效感知变量是政务短视频使用频率、信息性使用对持续使用意愿产生正向影响的有效中介变量,但对媒介可信度的效果路径无中介作用。说明在视觉化中国政治传播语境中,政务短视频虽不可避免地需要使用娱乐性元素构建内容、获得用户,但根本上仍然要以“信息性”制胜,相应调整内容供给策略和运营策略,以获得积极的效果。

Riemann-Liouville分数阶中立型泛函微分方程解的存在性和渐近稳定性

Riemann-Liouville(R-L)分数阶中立型泛函微分方程是分数阶微分系统的重要研究内容.研究R-L分数阶中立型泛函微分方程解的存在性和渐近稳定性问题,利用压缩映射原理和带权的范数给出解的存在性结论,综合利用零方程技巧、变换和线性矩阵不等式得到渐近稳定性判据,推广了已有的结果.

达人主播直播带货对消费者购买意愿的双路径影响——基于SOR及ELM模型的分析

文章基于SOR模型和ELM模型,研究了达人主播直播带货营销对消费者购买意愿的影响机理。该研究发现,消费者购买意愿通过中心路径和边缘路径被影响,中心路径因素为信息质量和促销激励,而边缘路径因素为达人主播的专业性、知名度和社会临场感。此外,消费者的感知信任和感知价值对其购买意愿具有显著正向影响,并在不同因素之间起中介作用。本研究结果提供了一个包括感知信任和感知价值双路径的中介影响模型框架,为未来研究该领域提供了新的思路和实证基础。

磁共振R2*mapping示踪功能型纳米药物载体在NSCLC裸鼠模型的显像研究

目的通过磁共振R2*mapping技术示踪及动态监测NSCLC裸鼠模型给药后不同时间点R2*值的变化趋势,阐明R2*mapping在评价F/A-PLGA@DOX/SPIO纳米载药体系在肿瘤成像中的应用价值及影像学基础。方法成功构建NSCLC裸鼠移植瘤模型24只,随机分为G1、G2两组,每组12只。分别尾静脉注射单纯SPIO以及F/A-PLGA@DOX/SPIO纳米载药体系,并采用1.5 T MR和动物专用小鼠线圈对建模成功荷瘤裸鼠皮下移植瘤模型进行R2*扫描获得肿瘤区域R2*值。实验结束后全部肿瘤组织及肝脏、脾脏普鲁士蓝染色。结果G2组每个时间点的R2*值均高于G1组(P<0.05)。相对于G1组,G2组肿瘤R2*值在早期上升趋势明显,且在给药后60h时明显高于G1组(P<0.05)。G1组排泄期较G2组明显提前。普鲁士蓝染色结果显示,G2组肿瘤的蓝色铁沉积高于SPIO组,而肝脏、脾脏组织的蓝色铁沉积低于G1。结论R2*值与肿瘤组织内的SPIO含量存在较高敏感性,R2*mapping技术提供了一种SPIO的肿瘤示踪成像方法。

基于S-O-R理论的儿童沉浸式美育APP研究与设计

目的针对儿童美育发展不平衡的问题,提升儿童美育产品设计,探究界面上、交互上、内容上可行性和实用性,对儿童美育APP的应用研究提出设计策略和实践探讨。方法基于S-O-R理论,结合心流理论与情感层次理论,提出相关模型,并使用SPSS、AMOS软件进行验证。在假设成立的基础上,观察38名4~14岁儿童操作APP实例,提出儿童美育APP的设计要求。结果认知性、设计类因素等能正向影响儿童美育APP的心流体验、满意度和用户黏性。结论儿童设计区别于成年人设计,提升以儿童为中心的设计,通过优化界面设计、音效、交互设计、核心机制等能有效影响儿童对于产品的沉浸式体验。

基于S-O-R框架的学科服务平台用户持续使用意愿影响因素研究——以FULink为例

[目的/意义]探究学科服务平台用户持续使用意愿影响因素,并结合用户群组分析进行用户画像,进而为平台更精准化、差异化的服务提供决策依据。[方法/过程]采用问卷调查法收集数据,使用SPSS 26.0对数据进行信效度检验,并使用结构方程模型方法,借助AMOS 23.0进一步对数据进行处理分析。[结果/结论]信息过载、隐私担忧显著正向影响使用倦怠,进而显著负向影响用户对学科服务平台的持续使用意愿。资源推荐、信息质量和互动性显著正向影响心流体验,进而正向影响用户对学科服务平台的持续使用意愿。功能过载对使用倦怠的影响不显著,感知成本直接负向影响用户持续使用意愿,据此提出提升FULink学科服务平台用户持续使用意愿的建议。