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The purpose of this paper investigates dynamic ease distributions of clothes at bust and waist lines with different body surface angle by using a Qualisys three-dimensional motion capture system (3DMCS).

The current method first obtain the specific markers of participants and their clothes along the bust and waist lines through 3DMCS, then using the least square method and four piecewise polynomial fitting participants and their clothes' bust and waist curves. The coordinates of the markers were tracked by the 3DMCS, while the participants under different body surface angle walked on a treadmill calculated the distances of markers coordinates to the participants' bust and waist curves. Finally, the data of samples were analyzed. It was found that the dynamic ease distributions showed different patterns at different body surface angle.

The results revealed the bust convex angle is 26.53 degrees (Specification:X3) and back slope angle is 13.96 degrees (Specification: Y1), the fluctuation of participant ease distributions on bust section was most obvious, and the maximum fluctuation value was ±20 mm and ±25 mm. The ease distributions of participant waist section fluctuated most obviously when the bust convex angle is 28.10 degrees (Specification: X5) and the back slope angle is 13.96 degrees (Specification: Y1), and the maximum fluctuation was ±30 mm and ±20 mm. The bust convex angle has the greatest influence on 1# garment, and the back slope angle has the greatest influence on 2# garment.

Currently, there is little information in the literature about dynamic ease distributions of garment on a different body types. This paper takes different body surface angles as the research objects to analyze the ease distributions of different clothes, the conclusion can provide reference data for 3D garment modeling and improve the authenticity of virtual garment fitting.

This paper aims to illustrate the scope and challenges of using computer-aided content analysis in international marketing with the aim to capture consumer sentiments about COVID-19 from multi-lingual tweets.

The study is based on some 35 million original COVID-19-related tweets. The study methodology illustrates the use of supervised machine learning and artificial neural network techniques to conduct extensive information extraction.

The authors identified more than two million tweets from six countries and categorized them into PESTEL (i.e. Political, Economic, Social, Technological, Environmental and Legal) dimensions. The extracted consumer sentiments and associated emotions show substantial differences across countries. Our analyses highlight opportunities and challenges inherent in using multi-lingual online sentiment analysis in international marketing. Based on these insights, several future research directions are proposed.

First, the authors contribute to methodology development in international marketing by providing a “use-case” for computer-aided text mining in a multi-lingual context. Second, the authors add to the knowledge on differences in COVID-19-related consumer sentiments in different countries. Third, the authors provide avenues for future research on the analysis of unstructured multi-media posts.

Drawing on Bourdieu's conceptualisation of physical capital, this article explores the experiences of male and female employees in non-traditional occupations where body work is an integral part of the role. Specifically, the authors examine how being an underrepresented gender in this context impacts the experience of work, including challenges faced and perceptions for future opportunities in the role.

The research is based on two in-depth case studies undertaken in the social care and security/door work sector. Semi-structured interviews were conducted with male social care workers and female security workers in the night-time hospitality sector. Management representatives were also interviewed in each case. The interviews examined how the nature of the work in these roles impacted on the underrepresented gender's perceptions of various aspects of their working lives.

The findings illustrate how many of the challenges associated with non-traditional occupations are experienced differently in body work roles, either being amplified or instead presenting opportunities for the role holder with implications for the day-to-day and longer-term experience of work. The findings illustrate how the actions and behaviour of management and colleagues can exacerbate the extent to which underrepresented gender feel accepted within their role and organisation.

Organisational decision makers need to be aware of the importance of reviewing practices regarding hiring, promotion and the allocation of tasks and duties for non-traditional role holders engaged in body work.

The article contributes to understandings of “body work” and physical capital in non-traditional occupations, illustrating how gender-based assumptions can restrict individuals in these roles to a greater extent than in other forms of work where the body is salient to the performance of the role.

This paper aims to provide an overview of the current manufacturing methods for three-dimensional textile preforms while providing experimental data on the emerging techniques of combining yarn interlocking with yarn interlooping.

The paper describes the key textile technologies used for composite manufacture: braiding, weaving and knitting. The various textile preforming methods are suited to different applications; their capabilities and end performance characteristics are analysed.

Such preforms are used in composites in a wide range of industries, from aerospace to medical and automotive to civil engineering. The paper highlights how the use of knitting technology for preform manufacture has gained wider acceptance due to its flexibility in design and shaping capabilities. The tensile properties of glass fibre knit structures containing inlay yarns interlocked between knitted loops are given, highlighting the importance of reinforcement yarns.

The future trends of reinforcement yarns in knitted structures for improved tensile properties are discussed, with initial experimental data.

This study aimed to explain the impact of the corona virus disease 2019 (COVID-19) pandemic on physiotherapy services in Nigeria.

This is a commentary piece.

The pandemic has potential of reducing efficacy of physiotherapy services. It also showed that the mental health of local physiotherapists was badly affected. On the other hand, the pandemic allowed physiotherapists to support infectious disease prevention and control and as well as providing awareness of the role of physiotherapy in the management of respiratory diseases.

It shows the effect of COVID-19 on physiotherapy care.

There has been an increase in swimming in natural bodies of water as reported in personal qualitative accounts. However, limited academic research has explored the meaning of this occupation. Engaging with nature, exercising and being part of a community contribute to better mental and physical health. The purpose of this research was to explore the meaning that adults attribute to open-water swimming in natural bodies of water.

This study used phenomenological interviews to explore the meaning that five adults attribute to open-water swimming.

Open-water swimming contributes to meaning-making in many ways. Participants reported swimming as necessary for maintaining mental and emotional well-being and forming meaningful connections with the social environment, nature and their true selves.

This study contributes to the understanding of the meaning of open-water swimming for adults in Ireland. Understanding the meaning of this occupation may add to the body of evidence exploring blue-space to promote health.

Open-water swimming is an occupation growing in popularity. This is the first paper to explore open-water swimming from an occupational perspective. This may provide an alternative perspective for viewing blue-space engagement and understanding the relationship between health, blue-space occupations and our oceans.

The objective of this study was to examine the causal relationships among sex, social support, disease severity, symptoms, physical activity, general health perception and health-related quality of life (HRQOL) in Thai adolescents with congenital heart disease (CHD).

A cross-sectional study was conducted using convenience sampling to recruit 200 Thai adolescents with CHD aged between 13 and18 years from four tertiary university hospitals in Bangkok. Interview method and self-administered questionnaires were used for data collection held between November 2018 and February 2019. Data were analyzed using path analysis to test the hypothesized model of the relationships.

The causal model of HRQOL revealed a good fit with the data. This model of relationship could explain 48% of the variances in HRQOL. Only direct effects of disease severity, symptoms and social support on HRQOL were found while indirect effects were not.

Due to the lack of study focusing on factors influencing HRQOL in Thai adolescents with CHD, this empirical study provides the evidence in Thai literature. The modifiable influencing factors for HRQOL found in this study can be manipulated through psycho-educational intervention given to the adolescents and significant others, especially parents, to help increase quality of life in adolescents with CHD.

The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to use this data to provide services.

This study conducted four action research projects on the use of customer-related data for service design with industry and government. Based on these projects, a practical framework was designed, applied, and validated, and was further refined by analyzing relevant service cases and incorporating the service and operations management literature.

The proposed customer process management (CPM) framework suggests steps a service provider can take when providing information to its customers to improve their processes and create more value-in-use by using data related to their processes. The applicability of this framework is illustrated using real examples from the action research projects and relevant literature.

“Using data to advance service” is a critical and timely research topic in the service literature. This study develops an original, specific framework for a company’s use of customer-related data to advance its services and create customer value. Moreover, the four projects with industry and government are early CPM case studies with real data.