Models of products and design processes are key to interacting with engineering designs and managing the processes by which they are developed. In practice, companies maintain networks of many interrelated models which need to be synthesised in the minds of their users when considering issues that cut across them. This article considers how information from product and design process models can be integrated with a view to help manage these complex interrelationships. A framework highlighting key issues surrounding model integration is introduced and terminology for describing these issues is developed. To illustrate the framework and terminology, selected modelling approaches that integrate product and process information are discussed and organised according to their levels and forms of integration. Opportunities for further work to advance integrated modelling in engineering design research and practice are discussed.

Post-1997 Hong Kong under the constitutional framework of “One Country Two Systems” has a political system that may be characterized as a “semi-democracy.” Hong Kong’s constitutional instrument—the Basic Law of the Hong Kong Special Administrative Region of the People’s Republic of China—provides that the ultimate goal of the evolution of Hong Kong’s political system is the election of its Chief Executive by universal suffrage. Since 2003, a democracy movement has developed in Hong Kong that campaigned for the speedy introduction of such universal suffrage. In 2007, the Chinese government announced that universal suffrage for the election of the Chief Executive of Hong Kong may be introduced in 2017. In 2014, the Chinese government announced further details of the electoral model. The model was rejected by Hong Kong’s Legislative Council in 2015, with the result that the election of the Chief Executive in 2017 would not materialize. This article seeks to tell this story of Hong Kong’s quest for democratization, focusing particularly on the context and background of the “Occupy Central” Movement that emerged in 2013 and its aftermath. It suggests that the struggle for universal suffrage in the election of Hong Kong’s Chief Executive in 2017 and the obstacles it faced reveal the underlying tensions behind, and the contradictions inherent in, the concept and practice of “One Country, Two Systems,” particularly the conflict between the Communist Party-led socialist political system in mainland China and the aspirations towards Western-style liberal democracy on the part of “pan-democrats” and their supporters in Hong Kong.

In this survey, we review different text mining techniques to discover various textual patterns from the social networking sites. Social network applications create opportunities to establish interaction among people leading to mutual learning and sharing of valuable knowledge, such as chat, comments, and discussion boards. Data in social networking websites is inherently unstructured and fuzzy in nature. In everyday life conversations, people do not care about the spellings and accurate grammatical construction of a sentence that may lead to different types of ambiguities, such as lexical, syntactic, and semantic. Therefore, analyzing and extracting information patterns from such data sets are more complex. Several surveys have been conducted to analyze different methods for the information extraction. Most of the surveys emphasized on the application of different text mining techniques for unstructured data sets reside in the form of text documents, but do not specifically target the data sets in social networking website. This survey attempts to provide a thorough understanding of different text mining techniques as well as the application of these techniques in the social networking websites. This survey investigates the recent advancement in the field of text analysis and covers two basic approaches of text mining, such as classification and clustering that are widely used for the exploration of the unstructured text available on the Web.