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The apparel design process involves gathering and analysing information on fashion trends, markets and past line sales and editing ideas for successful combinations of fabric, style and price. These ideas are the result of creativity. Creativity is most often modelled as a problem‐solving process involving complex chaotic systems. In the fields of architecture and software design, pattern languages have been developed to help understand the various fundamental components and dynamics of complex systems by using a series of related generic problem‐solving patterns empirically proven to be successful in a specified context of forces. Patterns record existing knowledge to make it rapidly and easily accessible and communicated between different users. A pattern language for the apparel design process could channel creative efforts and enhance communication between design team members by providing them with a common working language. Furthermore, pattern languages are increasingly used in the design of software and user‐interface programs (Booch 1996; Gamma et al. 1994). Preparing the ground by developing a pattern language for apparel products could save resources and time as well as improve the quality of future customised information.

This paper follows a previous paper which was published in Volume 5 Number 3 describing how a pattern language focusing on the initial creative phase of the apparel design process can be useful for innovation management. The patterns define the links between marketing and design knowledge, activities, constraints and resources throughout the process to optimise its efficiency, effectiveness, and the market success of its end‐products. Developing the pattern language involved identifying marketing and design components that are crucial in the initial creative phase of apparel design, and setting them into a model indicating their links to each other and to each of the process stages. The model developed provides a generic framework, or archetype, of apparel design creativity, which is presented in its pattern format in this paper. A total of 14 other patterns were developed around this archetype to grasp its dynamics by defining the links that support and articulate its structure, stages and components. The initial working model of the pattern language was distributed to six design experts for input. Their feedback was analysed, synthesised and integrated into a refined and validated version of the pattern language.

Social structural and cultural theories suggest that social stress induced from socio‐cultural status patterns varies across the world's cultures. The purpose of the study is to compare subjective social stress in connection with objective socio‐cultural status patterns among Muslim, Hindu, Santal and Oraon communities in Rasulpur of Bangladesh.

This study was conducted in Rasulpur, Bangladesh. Preliminarily, 760 male arrack drinkers who were stressful in their socio‐cultural status patterns were selected by snowball process from the study area. Of the respondents, 391 arrack drinkers (109 Muslim, 103 Hindu, 89 Santal and 90 Oraon) were intensively interviewed by semi‐structural questionnaire to examine and compare the research purpose.

The results of Pearson's χ² test suggested that there were significant differences (p<0.01) in subjective social stress in connection with socio‐cultural status patterns, except income among the communities, among the ethnic communities. The results of Spearman bivariate correlation coefficients revealed that there were significant relationships (p<0.01 and p<0.05) between socio‐cultural status patterns and its social stress, except occupation and income among the communities studied.

Although the findings of the study have been successful in understanding differences in social stress in the context of socio‐cultural status patterns among the Muslim, Hindu, Santal and Oraon communities in Rasulpur, Bangladesh, further empirical research is needed on how personality factor, familial and community coping and social support from social service system influence the differences in subjective social stress associated with socio‐cultural status patterns among the communities. In spite of the limitations, the findings may provide valuable information for cross‐cultural social health policy and programs to manage the problem.

This paper is original in linking its theory, policy and practice to reduce subjective social stress in the context of socio‐cultural variations among the Muslim, Hindu, Santal and Oraon communities in Bangladesh.

This paper aims to present how iterative round‐trip modelling between two different business process modelling tools can be enabled on a conceptual level. Iterative round‐trip modelling addresses model transformations between high‐level business and executable process models, and how to maintain these transformations in change time. Currently, the development of these process models is supported by different tools. To the authors' best knowledge, no coherent collaborative tool environment exists that supports iterative round‐trip modelling.

This paper is primarily based on a literature review of state‐of‐the‐art business to IT transformations regarding business process modelling. The architecture of integrated information systems (ARIS) and Cordys tools are used as an example case in this research. ARIS is a business process analysis (BPA) tool suited for analyzing and designing business processes, while the execution and monitoring of these processes is allowed by Cordys, a business process management suite (BPMS). The theory is used for transforming between ARIS event‐driven process chains from the business perspective and business process modelling notation in Cordys from the IT perspective.

A conceptual framework is proposed to couple a BPA and BPMS tool for round‐trip business process modelling. The framework utilizes concepts from the model‐driven architecture for structurally addressing interoperability and model transformations. Ensuring iterative development with two tools requires traceability of model transformations.

In many organizations, BPA and BPMS tools are used for business process modelling. These are in practice often two different worlds, while they concern around the same business processes. Maintaining multiple versions of the same process models across two tools is a considerable task, as they often are subject to design changes. Interoperability between a BPA and BPMS tool will minimize redundant activities, and reduce business to IT deployment time.

This research provides a theoretical base for coupling a BPA and BPMS tool regarding iterative round‐trip modelling. It provides an overview of the current state‐of‐the‐art literature of business process modelling transformations, and what is necessary for maintaining interoperability between tools. The findings indicate what is expected in tool support for iterative development in business process modelling from analysis and design to execution.

The purpose of this paper is to help bridge the digital divide that arises from people having such different viewpoints that little communication is possible, even though all have access to the internet and speak the same language.

The method is to catalog the best practices in collaboration and cooperation in the form of a pattern language. After describing pattern languages, some examples are given.

People have been trying to cooperate in many cultures over many centuries, and there are many the best practices that can be useful to find a common ground.

The patterns suggested do not easily allow empirical and objective A/B testing.

Any pattern or guideline will be applied by most people in most contexts. There will always be practical limitations in the appropriate scope of application.

A more widespread use of the patterns should help heal the divisiveness in society.

While pattern languages have been used in many fields, this is the first attempt to do so in fostering civil engagement.

Medical diagnosis and treatment processes exhibit a high degree of variability, as during the process execution, healthcare professionals can decide on additional steps, change the execution order or skip a task. Process models can help to document and to discuss such processes. However, depicting variability in graphical process models using standardized languages, such as Business Process Model and Notation (BPMN), can lead to large and complicated diagrams that medical staff who do not have formal training in modeling languages have difficulty understanding. This study proposes a pattern-based process visualization that medical doctors can understand without extensive training. The process descriptions using this pattern-based visualization can later be transformed into formal business process models in languages such as BPMN.

The authors derived patterns for expressing variability in healthcare processes from the literature and medical guidelines. Then, the authors evaluated and revised these patterns based on interviews with physicians in a Danish hospital.

A set of business process variability patterns was proposed to express situations with variability in hospital treatment and diagnosis processes. The interviewed medical doctors could translate the patterns into their daily work practice, and the patterns were used to model a hospital process.

When communicating with medical personnel, the patterns can be used as building blocks for documenting and discussing variable processes.

The patterns can reduce complexity in process visualization. This study provides the first validation of these patterns in a hospital.

In this chapter, we explore uses of corpus linguistics within higher education research. Corpus linguistic approaches enable examination of large bodies of language data based on computing power. These bodies of data, or corpora, facilitate investigation of the meaning of words in context. The semiautomated nature of such investigation helps researchers to identify and interpret language patterns that might otherwise be inaccessible through manual analysis. We illustrate potential uses of corpus linguistic approaches through four short case studies by higher education researchers, spanning educational contexts, disciplines and genres. These case studies are underpinned by discussion of the development of corpus linguistics as a field of investigation, including existing open corpora and corpus analysis tools. We give a flavour of how corpus linguistic techniques, in isolation or as part of a wider research approach, can be particularly helpful to higher education researchers who wish to investigate language data and its context.

The purpose of this paper is to investigate the impact of a dual medium/content context – the one offered by the online Twitter communication (medium-context) of reporting on elite sports (content-context) – on traditional conceptualizations of genderlect.

A quantitative content analysis, coding for a variety of traditional gendered language markers – was conducted on the tweets of male and female reporters who covered the men’s and women’s NCAA final four basketball tournaments.

Consistent with tenets of social role theory, the duel medium/content context of Twitter and sports produces several language patterns that frustrate attempts to categorize language markers according to traditional conceptualizations of genderlect and thus provides support for a redefinition of genderlect.

This paper’s findings suggest that people adapt their communication patterns to match the context in which they communicate. Whether adaptation takes place with conscious effort or as a natural byproduct of moving from one context to another remains to be discovered. Advice to female sports journalists on being vigilant against unwittingly undermining their credibility and perceived expertise is offered. This inquiry allows researchers to study sociology through sport.

This paper demonstrates that online environments can allow for traditional gender roles and expectations to be challenged and broken down, but some genderlect features appear tenacious and could undermine attempts to break down gender barriers.

If sport mirrors society, then the same communication adaptations that appear in the online environmental context of reporters’ tweets about sport should appear in other societal contexts.

Few studies have investigated differences in reporting by gender, and fewer have investigated differences in sports reporting by gender. Fewer, if any, have investigated differences in sports reporting by gender through Twitter.

The concept of a fuzzy language is applied to pattern recognition using geometric figures, chromosomes and leukocytes as illustrative examples. For chromosomes, an algorithm for classifying a chromosome image as an “approximate median chromosome,” “approximate sub‐median chromosome” or “approximate acrocentric chromosome” is presented. For leukocytes, an equal‐perimeter circular shape measure and an equal‐area circular shape measure are proposed, and various properties, results, and the relationship between these two measures are presented. Quantitative measures of other visual concepts such as elongated, spiculed, indented, slightly indented and deeply indented arc also presented and illustrated by examples. The results obtained in this paper may have useful applications in pattern recognition, cybernetics and fuzzy systems.