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Both geometric and non-geometric parameters have noticeable influence on the absolute positional accuracy of 6-dof articulated industrial robot. This paper aims to enhance it and improve the applicability in the field of flexible assembling processing and parts fabrication by developing a more practical parameter identification model.

The model is developed by considering both geometric parameters and joint stiffness; geometric parameters contain 27 parameters and the parallelism problem between axes 2 and 3 is involved by introducing a new parameter. The joint stiffness, as the non-geometric parameter considered in this paper, is considered by regarding the industrial robot as a rigid linkage and flexible joint model and adds six parameters. The model is formulated as the form of error via linearization.

The performance of the proposed model is validated by an experiment which is developed on KUKA KR500-3 robot. An experiment is implemented by measuring 20 positions in the work space of this robot, obtaining least-square solution of measured positions by the software MATLAB and comparing the result with the solution without considering joint stiffness. It illustrates that the identification model considering both joint stiffness and geometric parameters can modify the theoretical position of robots more accurately, where the error is within 0.5 mm in this case, and the volatility is also reduced.

A new parameter identification model is proposed and verified. According to the experimental result, the absolute positional accuracy can be remarkably enhanced and the stability of the results can be improved, which provide more accurate parameter identification for calibration and further application.

This study aims to introduce the concept of communities of social media practice where more experienced users provide guidance to female novice users, enacting a form of legitimate peripheral participation to “onboard” newcomers.

Through surveys with 968 early adolescents (average age was 13), the authors quantitatively explored sources and types of guidance for young social media users, popularity of conversation themes related to this guidance and how these conversations are associated with positive social media engagement. The authors qualitatively documented a case study of how a summer workshop of 17 students promotes positive social media use through a community of practice.

Although early adolescent girls reported that they more frequently talked to their parents about a wider range of social media topics, same-age peers and younger family members (e.g., siblings, cousins) were also frequent sources. Surprisingly, the authors also found that the source most strongly associated with positive social media use was the peer group. This case study of an intentional community of practice demonstrated how peers go from “peripheral” to “centered” in socializing each other for more positive social media use.

Unlike most prior scholarship on mediating social technology use, this study focuses on a critical developmental period (e.g. early adolescents), sources of guidance other than exclusively parents, explore the specific conversation topics that offer guidance and document an informal community of practice for girls that provides the training ground for peers and adult facilitators to codesign more positive social media spaces.

Depuis une vingtaine d'années, les pays d'Asie sont devenus à la fois un marché et un point d'arrivée de flux de clientèle, de plus en plus nombreux. Entre 1970 et 1990, la progression des visiteurs a été multipliée par presque huit. L'ensemble géographique Asie/Océanie représente près de 15 % du tourisme international et plus de 17% des recettes touristiques. Le marché a tendance à éclater entre les pays à fort développement industriel comme le Japon, Taiwan, la Corée, Hong Kong ou Macao, les pays à développement accéléré comme Singapour, la Thaïlande, la Malaisie et de nouveaux pays comme les Philippines, l'Indonésie ou le continent indochinois.

A completely new particle size analyser from Malvern Instruments employs a novel aerodynamic principle to separate particles in samples of dry powders or suspensions.

The purpose of this paper is to assess Chinese tourists' perceptions of the UK hotel service quality, and to analyze the role of Chinese culture in influencing their expectations and perceptions.

An adapted SERVQUAL questionnaire for measuring hotel service quality attributes, and paired t‐test and the Mann‐Whitney test for data analysis were used in the study.

The main findings fully support the hypotheses developed, and reveal a number of shortfalls, particularly on the empathy, reliability and tangible dimensions, in UK hotel services, which have led to negative consumers' experiences.

Future study requires a larger sample size with more sophisticated statistical analysis, and also additional emphasis on the price/value relationship for hotels themselves, and the hotel category.

These are implications for the UK hotel marketers, managers, and employees, who may use the findings to adapt services to capitalize on the potential of Chinese outbound travel to the UK.

This exploratory study provides fresh insights on the interrelationships of cultural influences and customers' evaluations of service quality.

This paper aims to focus on the effect of the operating condition such as the impeller speed on the centrifugal fan performance and flow characteristics. The ability to predict the behavior of the airflow motion in a centrifugal blower is essential for obtaining the topology optimization design.

A physical model of the air blower consisting of these main parts in a blower system: collector, impeller, outlet flange and volute casing, and the appropriate boundary conditions are set up by ANSYS software. Computation fluid dynamics are performed for the numerical analysis. The calculation of blower performance parameters such as total pressure, efficiency and flow rate is based on the Reynolds averaged Navier–Stokes equations and k-εturbulence flow model.

The numerical results show that the change in operating conditions has a significant effect on the blower performance, and the pressure maintained inside the blower is higher for a larger impeller rotational speed.

This work is original and has not yet been submitted to elsewhere or published previously.

In the post modern era, a product or service has four potential representations: experiential; social; democratic; and an element of an organisation, a network or a universe. This paper looks at post modern product representations in the sports industry that are supported by marketing decisions. These decisions could provide guidelines to sports managers who want to strengthen the emotional connection between the team and the fans.

This paper looks at how two sports teams, hockey club the Toronto Maple Leafs and Football Club Barcelona, have each built and leveraged their brand equity. The main differences between the two clubs lie in how they position their brands. For TML, the affective and experiential sides of the product are emphasised to make the brand grow; for Barcelona, the cognitive and affective dimensions of the product are prioritised to nurture the brand. Differences between hockey and soccer also contribute to branding discrepancies in terms of exposure and global influences.

Due to social transformation in China, more than 100,000,000 people are migrating within the country. Many parents are forced to leave their children behind when they migrate. In 2008, 58,000,000 children were living as left‐behind children, mainly in the rural parts of China (Zhang, 2009).Migration and its accompanying stressors may affect the mental health of the left‐behind children. This unique literature review of Chinese literature summarises the present state of knowledge and reviews the influential factors. Possible approaches to intervention and system reforms are discussed.A literature review was performed of published studies between 2001 and 2008. Databases used were Fujian Medical University Library Interface, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Information. The Chinese word for ‘left‐behind’ was used as a key word. Books, book chapters, monographs and studies on caring were searched electronically and by hand. Altogether, 53 items were found, discussed and grouped together. Migration affected the mental health of the left‐behind children in a passive way, especially their emotions and social behaviour.There is still controversy over how serious mental health problems are among children who have been left behind. Life events, personality, coping strategies and social suppor t can be regarded as four main factors that are predictive of mental health, which provides theoretical guidance for intervention. Suppor t and prevention of mental health problems in schools, in families and in primary care should be developed and studied.

Due to the size and velocity at which user generated content is created on social media services such as Twitter, analysts are often limited by the need to pre-determine the specific topics and themes they wish to follow. Visual analytics software may be used to support the interactive discovery of emergent themes. The paper aims to discuss these issues.

Tweets collected from the live Twitter stream matching a user’s query are stored in a database, and classified based on their sentiment. The temporally changing sentiment is visualized, along with sparklines showing the distribution of the top terms, hashtags, user mentions, and authors in each of the positive, neutral, and negative classes. Interactive tools are provided to support sub-querying and the examination of emergent themes.

A case study of using Vista to analyze sport fan engagement within a mega-sport event (2013 Le Tour de France) is provided. The authors illustrate how emergent themes can be identified and isolated from the large collection of data, without the need to identify these a priori.

Vista provides mechanisms that support the interactive exploration among Twitter data. By combining automatic data processing and machine learning methods with interactive visualization software, researchers are relieved of tedious data processing tasks, and can focus on the analysis of high-level features of the data. In particular, patterns of Twitter use can be identified, emergent themes can be isolated, and purposeful samples of the data can be selected by the researcher for further analysis.