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Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This bibliography contains references to papers, conference proceedings, theses and books dealing with finite strip, finite prism and finite layer analysis of structures, materially and/or geometrically linear or non‐linear.

Polypyrrole (PPy)-coated fabric can be produced by means of chemical vapour deposition using pyrrole in the presence of an oxidizing agent. This electrically conductive fabric can be used as a strain sensor, and has high potential for producing wearable sensors that can detect the movements of the wearer. Since direct contact between this conductive fabric and human body will be involved, an investigation of the effect of different types of liquids such as sweat, rain water, drinking water, etc. on the electrical conductivity of fabric sensors is critical. Changes in the conductivity and surface morphology of the PPy-coated textile were analysed by placing few drops of liquid onto the fabrics. The results showed that the electrical resistance of the PPy-coated fabrics was different when the fabrics came into contact with different types of liquid. The phenomenon can be explained by both the fibre/fibre contact and yarn/yarn contact models as well as by the uniformity of the PPy-coating layer on the surface of the fibre.

In recent years, the public awareness and concern for the environment have been increased significantly. This has resulted in tougher legislation and more stringent standards to which the industry will have to work. In this paper, the environmental regulatory situation in Hong Kong and the effluent standards in Hong Kong and other counties were reviewed so as to give a word of caution for the local textile dyeing industry. Moreover, various pollution prevention techniques were suggested in order to reduce pollution through elimination at the source rather than treatment or disposal.

The analytic hierarchy process (AHP) method was used to determine the priority of processes outlined in the BS8800 Guide to Occupational Health and Safety Management Systems for the Hong Kong construction industry. Analysis of variance was used to further investigate the differences among three different kinds of construction enterprises: joint venture (JV), well‐established (W‐E) and small and medium sized (SME) enterprises. This study of 32 construction enterprises suggests that JV and W‐E enterprises are able to demonstrate stronger commitment to strategic safety issues whereas SMEs focus more on the short‐term safety issues in implementation of safety management system. The results also indicate that “Safety Training” may be a problem area in all three groups. When considering differences shown between groups, these rankings can be used as a guide for the practical implementation of the British Standard BS8800 Safety Management System in construction enterprises in Hong Kong.

This study analyzes the impact of different types of social capital (structural, relational, cognitive) from different sources (internal and external) generated in electronic social networks on organizational performance.

We test our hypotheses using OLS regression analysis of data obtained from nonprofit organization (NPO) fundraising on a popular online social networking website.

The results provide insights into the multifaceted, complex nature of social capital in electronic environments. We find that electronic social capital does indeed impact organizational outcomes, but that these impacts vary depending on the type of social capital, the type of outcomes, and roles within the social network.

These results clearly indicate the need to further research exploring social capital, in all its forms, within increasingly popular online and electronic social networks. While specifically applicable to NPOs, the findings also provide important insights for a wide variety of organizations.

This paper looks at one relatively less‐visited issue in market timing: switching investments on common stocks between different stock markets, namely, “intermarket timing”. By employing the stock price data for the period of 1992‐2002 from a developed market, Hong Kong, and two emerging markets, Shanghai and Shenzhen, this paper examines potential gains and the required predictive accuracy for intermarket timing between Hong Kong and Shanghai, and between Hong Kong and Shenzhen from Hong Kong investors’ perspective. Potential gains could be obtained from such timing strategy, and the non‐high minimum forecasting ability required for successful timing is fairly attainable for Hong Kong investors, even after taking into account the assumed transaction costs.

The aim of this study is to investigate achievement profiles in mathematics when integers are taught in a learning study in grade three (to children 8–9 years old) and to explore to what extent students with such profiles participate in inclusive teaching and learning practices.

Data from a previous learning study are re-analysed, supported by a framework that enables the investigation of inclusive practices. In the present study, inclusion and achievement are viewed as interrelated, meaning that student achievement must be incorporated in the definition of inclusion. The analysis is based on documentation of a video-recorded lesson and on identical tests conducted before and after the lesson.

The general framing of the learning study indicates an inclusive practice, while pre- and post-test achievement together with data from the lesson reveal a mixed picture concerning student achievement and inclusion. The analysis of the pre- and post-test results for the 16 students in the class indicates considerable diversity in student achievement, resulting in four achievement profiles. The main conclusion is that some students gained from participating in the learning study lesson while others did not. The extensive analysis of four students' participation, one for each profile, shows that differences in student achievement are related to the extent to which students participate in inclusive teaching and learning practices.

While previous research on learning studies has mainly considered average student achievement, this study focuses on individual variation in achievement and the reasons for it, a matter largely neglected in previous learning study research.

To better understand the online reviews and help potential consumers, businessmen and product manufacturers effectively obtain users’ evaluation on product aspects, this paper aims to explore the distribution regularities of users’ attention and sentiment on product aspects from the temporal perspective of online reviews.

Temporal characteristics of online reviews (purchase time, review time and time intervals between purchase time and review time), similar attributes clustering and attribute-level sentiment computing technologies are used based on more than 340k smartphone reviews of three products from JD.COM (a famous online shopping platform in China) to explore the distribution regularities of users’ attention and sentiment on product aspects in this paper.

The empirical results show that a power-law distribution can fit users’ attention on product aspects, and the reviews posted in short time intervals contain more product aspects. Besides, the results show that the values of users’ sentiment on product aspects are significantly higher/lower in short time intervals which contribute to judging the advantages and weaknesses of a product.

This paper cannot acquire online reviews for more products with temporal characteristics to verify the findings because of the restriction on reviews crawling by the shopping platforms.

This work reveals the distribution regularities of users’ attention and sentiment on product aspects, which is of great significance in assisting decision-making, optimizing review presentation and improving the shopping experience.