Enabling customers engagement and collaboration for small and medium-sized enterprises in ubiquitous multi-channel ecosystems

Over the last few years, we have encountered an exponential growth in online communication opportunities. Organizations have more and more ways to connect and engage with their current or future customers. The existence of more opportunities in connecting to people can be both an enabler and a burden. Being present at a multitude of different channels requires the effective management of a very large number of adapted contents, formats, and interaction patterns fulfilling the communication and cooperation needs of distributed target groups. In this respect, we integrate existing fragmented communication and monitoring approaches into a full-fledged communication model as a basis for an adequate engagement approach. We describe applications of our approach in both the eTourism and manufacturing domain. In this paper, we introduce an approach that will enable communication, collaboration and value exchange of users through a multitude of online interaction possibilities based on the use of semantic technology. Finally, we also compare our approach with existing solutions with respect to the identified challenges in this subject.     

LoVis: Local Pattern Visualization for Model Refinement

Linear models are commonly used to identify trends in data. While it is an easy task to build linear models using pre‐selected variables, it is challenging to select the best variables from a large number of alternatives. Most metrics for selecting variables are global in nature, and thus not useful for identifying local patterns. In this work, we present an integrated framework with visual representations that allows the user to incrementally build and verify models in three model spaces that support local pattern discovery and summarization: model complementarity, model diversity, and model representivity. Visual representations are designed and implemented for each of the model spaces. Our visualizations enable the discovery of complementary variables, i.e., those that perform well in modeling different subsets of data points. They also support the isolation of local models based on a diversity measure. Furthermore, the system integrates a hierarchical representation to identify the outlier local trends and the local trends that share similar directions in the model space. A case study on financial risk analysis is discussed, followed by a user study.     

Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making

There is increasing evidence that user characteristics can have a significant impact on visualization effectiveness, suggesting that visualizations could be designed to better fit each user's specific needs. Most studies to date, however, have looked at static visualizations. Studies considering interactive visualizations have only looked at a limited number of user characteristics, and consider either low‐level tasks (e.g., value retrieval), or high‐level tasks (in particular: discovery), but not both. This paper contributes to this line of work by looking at the impact of a large set of user characteristics on user performance with interactive visualizations, for both low and high‐level tasks. We focus on interactive visualizations that support decision making, exemplified by a visualization known as Value Charts. We include in the study two versions of ValueCharts that differ in terms of layout, to ascertain whether layout mediates the impact of individual differences and could be considered as a form of personalization. Our key findings are that (i) performance with low and high‐level tasks is affected by different user characteristics, and (ii) users with low visual working memory perform better with a horizontal layout. We discuss how these findings can inform the provision of personalized support to visualization processing.     

Group‐in‐a‐Box Meta‐Layouts for Topological Clusters and Attribute‐Based Groups: Space‐Efficient Visualizations of Network Communities and Their Ties

An important part of network analysis is understanding community structures like topological clusters and attribute‐based groups. Standard approaches for showing communities using colour, shape, rectangular bounding boxes, convex hulls or force‐directed layout algorithms remain valuable, however our Group‐in‐a‐Box meta‐layouts add a fresh strategy for presenting community membership, internal structure and inter‐cluster relationships. This paper extends the basic Group‐in‐a‐Box meta‐layout, which uses a Treemap substrate of rectangular regions whose size is proportional to community size. When there are numerous inter‐community relationships, the proposed extensions help users view them more clearly: (1) the Croissant–Doughnut meta‐layout applies empirically determined rules for box arrangement to improve space utilization while still showing inter‐community relationships, and (2) the Force‐Directed layout arranges community boxes based on their aggregate ties at the cost of additional space. Our free and open source reference implementation in NodeXL includes heuristics to choose what we have found to be the preferable Group‐in‐a‐Box meta‐layout to show networks with varying numbers or sizes of communities. Case study examples, a pilot comparative user preference study (nine participants), and a readability measure‐based evaluation of 309 Twitter networks demonstrate the utility of the proposed meta‐layouts.     

光气生产技术及光气化产品开发进展

综述了光气生产工艺技术、安全措施及主要光气下游产品种类。介绍了国内外光气生产及应用现状，涉及一氧化碳制备、氯气干燥、光气合成、废气处理和安全生产等技术。简述了光气化产品开发研究方向，提出重点开发IPDI(异佛尔酮二异氰酸酯)、NDI(1，5-萘二异氰酸酯)、氯磺酰异氰酸酯和较大分子量的氯代甲酸酯等光气化产品。     

二甲醚生产技术及应用前景

介绍了二甲醚的生产技术、主要用途和研究进展，并对其应用前景做了展望。     

国外陶瓷球加工技术及其应用

主要综述了国外陶瓷球的加工技术，加工陶瓷球使用的设备，研磨介质和研磨料的选择，介绍了陶瓷球及陶瓷球轴承的应用发展概况。     

INTENET网上化学化工信息资源和检索方法

Internet时网化学化工信息资源相当丰富，根据实际应用，本文推荐了专利、期刊、专业网站及搜索引擎和检索方法。     

卧式一步法丙纶高强丝生产工艺研究

在意大利ＦＡＲＥ公司卧式一步法丙纶高强丝设备上，研究了聚丙烯熔融指数与丙纶高强丝强度的关系。探讨了纺丝温度、冷却条件、单丝纤度、拉伸倍数等主要工艺条件对丙纶高强丝强度的影响。     

新溶剂体系对SBS生产工艺的影响

讨论了一种新溶剂体系对热塑性弹性体SBS工业生产工艺条件的影响，并与原应用纯环己烷溶剂的生产工艺进行比较。工业试生产结果表明，对SBS生产中溶剂精制工艺过程，应用新溶剂体系时精制塔系的气相压力增大，塔温降低，聚合反应单体质量分数在l8．0％～20．0％时对聚合反应与凝聚工艺控制没有影响，可较显著地提高装置生产能力，降低产品生产成本，同时其凝固点较低，有利于提高SBS生产体系对季节与地域的适应能力。