Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.     

纳米碳酸钙的应用技术

结合纳米碳酸钙的生产和应用实践经验,介绍了纳米碳酸钙在塑料、橡胶、涂料、黏胶剂、造纸、油墨等领域的重要作用、应用关键技术.     

Coloring the destination: The role of color psychology on Instagram

Color psychology plays important roles in product packaging, the retail environment, and online marketing. This study analyzed current practices related to color composition in tourism-related photographs on Instagram. Data mining and pictorial content analysis were adopted to investigate how lightness, chroma, and hue may influence Instagram posts' popularity. Generally, individuals appeared more likely to respond to brighter and more saturated destination pictures. Orange, yellow, blue, and violet contributed significantly to post popularity based on different photographic typologies. Overall, color is a complex construct that functions within diverse dimensions and can enrich tourists’ destination-related perceptions. Based on brand post popularity and color theories, the study findings provide valuable implications for effective and efficient destination promotion via Instagram. Relevant limitations and future directions are also discussed.     

Examining the relationships between online store atmospheric color,flow experience and consumer behavior

Although atmospherics and flow experience are widely studied, the relationship between online store atmospheric cues and flow experience has received a little attention. Furthermore, there is a lack of published results about the role of atmospheric color in creating flow. Using the Stimulus – Organism – Response model and the theory of optimal experience of flow, this study investigated the impact of online store background color on the achievement of flow and its effects on online consumer behavior. In this study, an online experiment was conducted to investigate the effects of a warm hue – yellow versus a cool hue – blue of the background and used a self-administered online survey for data collection. The results underscore the important role online store color plays in creating the flow experience and revealed that blue hue induces more flow than yellow. The two dimensions of flow (perceived enjoyment and concentration) have direct and mediating effects on purchase intention and revisit intention. Concentration, but not enjoyment, has direct and mediating effects on the number of viewed pages and time spent per visit. This research enhances our understanding of the relationship between online store atmospheric color and flow and highlights the role of flow as an extension of SOR model applied online. Other theoretical and managerial implications of the results are discussed. Finally, suggestions regarding future research are presented.     

浅谈英语颜色词的翻译

Color words play an important role in the different cultural languages. As the background of Chinese and English culture varies each other, the usage of color word also differs greatly. In order to understand inner meaning better, people must adopt some different transhtion techniques in translating materials （such as literal translation, flee transhtion, change and addition of some color words, etc. ） so as to translate English color words in an accurate way. As a result, it can help people make cross-cultural more effectively and promote the cultural exchange and hybrid between English and Chinese nationalities.     

涂布彩色喷墨打印纸涂层技术

涂布彩色喷墨打印纸的涂层对印刷质量起着决定性作用,涂层结构的优化将会明显提高喷墨打印质量。本文系统介绍了典型涂布彩色喷墨打印纸的涂层组成、表面结构和特性以及其对喷墨打印质量的影响;综述了涂布彩色喷墨打印纸涂层技术的最新研究进展;并对涂层结构的检测技术做了重点评述,这些手段为深入研究涂层结构与印刷质量的关系提供了重要支持。     

图像颜色空间与其分量自相关研究

图像的自相关函数是表征空间域图像像素之间相关性的重要特性之一。在彩色图像所涉及的多种不同颜色空间下,颜色分量图像的自相关特性有所差异。为了获取彩色图像颜色空间与各分量图像自相关之间的关系,征RGB、KCH、LAB、OHTA和YCC5种颜色空间下,利用Matlab软件,对不同色彩特征的多幅彩色图像进行了分量自相关分析。结果表明：采用不同颜色空间的分量图像自相关水平各异;采用对立色空间（LAB／OHTA／YCC）分量图像的平均自相关水平高于采用RGB和LCH的分量图像;在对立色空间中,彩度分量的自相关水平明显高于其明度、亮度分量,由此使彩色图像的可压缩率得以提升。     

基于ICOS PVI-6系统的太阳能电池质量控制研究

自动摄像系统ICOS PVI-6能跟踪太阳能电池在丝网印刷制作正面电极的过程,研究各种印刷质量问题造成的电性能变化趋势。本试验以156mm×156mm多晶P型硅片为例,启动PVI-6系统,进行识别太阳能电池正面银电极的断线条数,当监控到断线的印刷质量问题后在生产过程中及时擦拭网版、调整印刷参数,后使用Berger分类检测系统测试试验电池片的电性能,与未使用监控系统的情况进行比较,电池片的电性能得到了明显提高。     

烷基酚聚氧乙烯醚应用在纺织品中对环境的影响

列举了APEO在纺织品中的一些应用和检测纺织品中其含量的检测方法。阐述了应用在纺织品中的APEO对环境的影响，并提出一些应对及补救措施。     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.