The language of design resolution in a digital building information model

Information in construction industry is delivered and interpreted in a language specific to the industry in which large complex objects are only partially described and with much information being implicit in the language used. Successful communication therefore relies on participants in the industry leaming how to interpret the language through many years of education, training and experience. With the introduction of computer technology, and in particular the detailed digital building information model (DB 1M), the accepted language currently in use is no longer a valid method of describing the building. At all stages in the paper based design and documentation process it is generally readily apparent which parts of the design require further completion and which are fully resolved. This is able to be achieved through the complex graphical language currently in use. In the DBIM, all information appears at the same level of resolution making difficult the interpretation of implicit information embedded in the model. This compromises the collaborative design environment which is being described as a fundamental characteristic of the future construction industry. This paper focuses on two areas. The first analyses design resolution and the role uncertain information plays in the design process. It then discusses the manner in which designers and the industry in general deal with incomplete or unresolved information. The second describes a theoretical model in which a design resolution (DR) environment incorporates the level of design resolution as an operable element in a collaborative DBIM. The development and implementation of this model will allow designers to better share, understand and interpret design knowledge from the shared information during the various stages of digital design and before full resolution is achieved.

The language of subjective well-being

The Language of Depression project is a linguistic study of the language of Acute Care Hospital patients suffering depression with the ultimate aim of enabling medical and nursing staff to become more aware of their patients’ depression and immediately refer them for psychological or psychiatric help. As part of that larger project, and following recent developments in positive psychology (e.g. Seligman 2002) this paper will focus exclusively on the control group, that is, the language of those Acute Care Hospital patients deemed non-depressed. The data comprise 30 minute interviews between the patients and a Consultation-liaison psychiatrist. Prior to interview, the patients were screened using the Brief Case-find for Depression (Clarke et al. 1994). From the screening, patients were then deemed likely to be depressed and likely to be non-depressed. This paper reports on the analysis of 10 patients deemed as non-depressed. Using the linguistic theory of Systemic Functional Linguistics, the data were analysed for their Appraisal features (e.g. Martin and Rose 2003). Appraisal analysis provides a lexico-semantic analysis that is concerned with how speakers use language to evaluate as well as negotiate relationships. The Appraisal analysis has been used to identify in the language of non-depressed patients the types of attitudes that facilitate psychological well-being. This paper will present some analysed extracts from the interviews to show how key features of subjective well-being are realised in the language of non-depressed Acute Care Hospital patients.

Individual, social and environmental determinants of participation in physical activity for prostate cancer survivors

Participation in physical activity helps prostate cancer survivors to cope with the side effects of treatment, enhances quality of life and decreases the risks of many of the comorbidities to which survivors are highly susceptible. Prostate cancer survivors, however, are less likely than other cancer survivors (e.g., breast and colorectal) to increase physical activity after diagnosis. Interventions have been only modestly successful at increasing participation in physical activity for prostate cancers survivors and more research is needed to increase our understanding of the determinants of physical activity for this group. Using a social ecological framework, this qualitative research sought to examine the individual, social and environmental determinants of participation in physical activity for prostate cancer survivors. In-depth interviews were conducted with 20 survivors of prostate cancer aged between 35 and 75 years. Participants were drawn from a public and a private health service and from a range of treatment types. We are currently collecting data for this study and preliminary themes will be discussed at the conference (abstract will be updated once findings are known).

Mathematics as a second language : looking for a bridge between mathematical language and the language of thought

Our thoughts are in one language, and mathematical results are expressed in a language foreign to the way we think. Mathematics is a unique foreign language with all the components of a language; it has its own grammar, vocabulary, conventions, synonyms, sentence structure, and paragraph structure. Students need to learn these components to partake in a thorough discussion of how to read, write, speak and think mathematics. Beginning with the students natural language and expanding that language to include symbolism and logic is the key. Providing lessons in concrete, pictorial, written and verbal terms allows the instructor to create a translation bridge between the grammar of the mother language and the grammar of mathematics. This papers presents methods to create the translation bridge for students so that they become articulate members of the mathematics community. The students "mother" language, expanded to include the symbols of mathematics and logic, is the the key to both the learning of mathematics and its effective application to problem situations. The use of appropriate language is the key to making mathematics understandable.

The language of Well-Being

The language of Well-Being is a linguistic analysis of acute hospital patients not suffering depression. Despite patients' ill health, their language revealed a 'positive' attitude, particularly a capacity to be resilient, extroverted and optimistic. This thesis describes the language that 'works' for mentally healthy people in extremely challenging circumstances.