Fashion Thinking : Creative Approaches to the Design Process, F. Dieffenbacher (2013)

Fashion Thinking: Creative Approaches to the Design Process, F. Dieffenbacher (2013) London: AVA, 224 pp., ISBN: 9782940411719, p/bk, $79.99

Compositional data analysis (CoDA) approaches to distance in information retrieval

Many techniques in information retrieval produce counts from a sample, and it is common to analyse these counts as proportions of the whole - term frequencies are a familiar example. Proportions carry only relative information and are not free to vary independently of one another: for the proportion of one term to increase, one or more others must decrease. These constraints are hallmarks of compositional data. While there has long been discussion in other fields of how such data should be analysed, to our knowledge, Compositional Data Analysis (CoDA) has not been considered in IR. In this work we explore compositional data in IR through the lens of distance measures, and demonstrate that common measures, naïve to compositions, have some undesirable properties which can be avoided with composition-aware measures. As a practical example, these measures are shown to improve clustering. Copyright 2014 ACM.

Machine learning approaches to analysing textual injury surveillance data: A systematic review

Objective To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. Design Systematic review. Data sources The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique. Selection criteria For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data. Methods The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed. Results Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed. Conclusions The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.

Transdisciplinary approaches to urban computing

The research field of urban computing – defined as “the integration of computing, sensing, and actuation technologies into everyday urban settings and lifestyles” – considers the design and use of ubiquitous computing technology in public and shared urban environments. Its impact on cities, buildings, and spaces evokes innumerable kinds of change. Embedded into our everyday lived environments, urban computing technologies have the potential to alter the meaning of physical space, and affect the activities performed in those spaces. This paper starts a multi-themed discussion of various aspects that make up the, at times, messy and certainly transdisciplinary field of urban computing and urban informatics.

Exploring the usefulness of structural-functional approaches to systematically assess the functionality of governance arrangements for natural resource management planning in two Australian case studies

This research developed and applied an evaluative framework to analyse multiple scales of decision-making for environmental management planning. It is the first exploration of the sociological theory of structural-functionalism and its usefulness to support evidence based decision-making in a planning context. The framework was applied to analyse decision-making in Queensland's Cape York Peninsula and Wet Tropics regions.

A tale of two solvers: Eager and lazy approaches to bit-vectors

The standard method for deciding bit-vector constraints is via eager reduction to propositional logic. This is usually done after first applying powerful rewrite techniques. While often efficient in practice, this method does not scale on problems for which top-level rewrites cannot reduce the problem size sufficiently. A lazy solver can target such problems by doing many satisfiability checks, each of which only reasons about a small subset of the problem. In addition, the lazy approach enables a wide range of optimization techniques that are not available to the eager approach. In this paper we describe the architecture and features of our lazy solver (LBV). We provide a comparative analysis of the eager and lazy approaches, and show how they are complementary in terms of the types of problems they can efficiently solve. For this reason, we propose a portfolio approach that runs a lazy and eager solver in parallel. Our empirical evaluation shows that the lazy solver can solve problems none of the eager solvers can and that the portfolio solver outperforms other solvers both in terms of total number of problems solved and the time taken to solve them.

Prostitution Ideology and Trafficking Policy: The Impact of Political Approaches to Domestic Sex Work on Human Trafficking Policy in Australia and the United States

Debates over the legitimacy and legality of prostitution have characterised human trafficking discourse for the last two decades. This article identifies the extent to which competing perspectives concerning the legitimacy of prostitution have influenced anti-trafficking policy in Australia and the United States, and argues that each nation-state’s approach to domestic sex work has influenced trafficking legislation. The legal status of prostitution in each country, and feminist influences on prostitution law reform, have had a significant impact on the nature of the legislation adopted.

Is Merit on the Agenda? Approaches to Recruitment and Promotion in Australian Organisations

Employment on the basis of merit is the foundation of Australia’s equal opportunity legislation, beginning with the Affirmative Action (Equal Opportunity for Women) Act 1986, and continuing through the Equal Opportunity for Women in the Workplace Act 1999 to the Workplace Gender Equality Act 2012, all of which require organisations with more than 100 employees to produce an organisational program promoting employment equity for women (WGEA 2014a; Strachan, Burgess & Henderson 2007). The issue of merit was seen as critically important to the objectives of the original 1986 Act and the Affirmative Action Agency produced two monographs in 1988 written by Clare Burton: Redefining Merit (Burton 1988a) and Gender Bias in Job Evaluation (Burton 1988b) which provided practical advice. Added to this, in 1987 the Australian Government Publishing Service published Women’s Worth: Pay Equity and Job Evaluation in Australia (Burton, Hag & Thompson 1987). The equity programs set up under the 1986 legislation aimed to ‘eliminate discriminatory employment practices and to promote equal employment opportunities for women’ and this was ‘usually understood to mean that the merit principle forms the basis of appointment to positions and for promotion’ (Burton 1988a, p. 1).

Approaches to curriculum development in Vietnamese higher education: A case study

This research used a case study approach to examine curriculum understandings and the processes of curriculum development at a Vietnamese university. The study proposes a participatory model for curriculum development contextualized for Vietnamese higher education. The study found that the curriculum is understood in diverse and sometimes conflicting ways by students, academics and administrative staff, and is developed in a hierarchical manner. Hence, the participatory model incorporates recommendations for effective practices of curriculum development at different levels within Vietnamese universities.

A happy compromise: Collaborative approaches to school library designing

Designing a school library is a complex, costly and demanding process with important educational and social implications for the whole school community. Drawing upon recent research, this paper presents contrasting snapshots of two school libraries to demonstrate the impacts of greater and lesser collaboration in the designing process. After a brief literature review, the paper outlines the research design (qualitative case study, involving collection and inductive thematic analysis of interview data and student drawings). The select findings highlight the varying experiences of each school’s teacher-librarian through the four designing phases of imagining, transitioning, experiencing and reimagining. Based on the study’s findings, the paper concludes that design outcomes are enhanced through collaboration between professional designers and key school stakeholders including teacher-librarians, teachers, principals and students. The findings and recommendations are of potential interest to teacher-librarians, school principals, education authorities, information professionals and library managers, to guide user-centred library planning and resourcing.

Key opportunities for the future of roads to contribute to Australia's climate change response

Road agencies face growing pressure to respond to a range of issues associated with climate change and the reliance on fossil fuels. A key part of this response will be to reduce the dependency on fossil fuel based energy (and the associated greenhouse gas emissions) of transport, both vehicles and infrastructure. This paper presents findings of investigations into three key areas of innovative technologies and processes, namely the inclusion of onsite renewable energy generation technologies as part of road and transport infrastructure, the potential for automated motorways to reduce traffic fuel consumption (referred to as 'Smart Roads'), and the reduction of energy demand from route and signal lighting. The paper then concludes with the recommendation for the engineering profession to embrace sustainability performance assessment and rating tools as the basis for enhancing and communicating the contribution to Australia's response to climate change. Such tools provide a rigorous structure that can standardise approaches to key issues across entire sectors and provide clarity on the evidence required to demonstrate leading performance. The paper has been developed with funding and support provided by Australia's Sustainable Built Environment National Research Centre (SBEnrc), working with partners including Main Roads Western Australia, NSW Roads and Maritime Services, Queensland Department of Transport and Main Roads, John Holland Group, the Infrastructure Sustainability Council of Australia, Roads Australia, and the CRC for Low Carbon Living.

Resampling-based approaches to study variation in morphological modularity

Modularity has been suggested to be connected to evolvability because a higher degree of independence among parts allows them to evolve as separate units. Recently, the Escoufier RV coefficient has been proposed as a measure of the degree of integration between modules in multivariate morphometric datasets. However, it has been shown, using randomly simulated datasets, that the value of the RV coefficient depends on sample size. Also, so far there is no statistical test for the difference in the RV coefficient between a priori defined groups of observations. Here, we (1), using a rarefaction analysis, show that the value of the RV coefficient depends on sample size also in real geometric morphometric datasets; (2) propose a permutation procedure to test for the difference in the RV coefficient between a priori defined groups of observations; (3) show, through simulations, that such a permutation procedure has an appropriate Type I error; (4) suggest that a rarefaction procedure could be used to obtain sample-size-corrected values of the RV coefficient; and (5) propose a nearest-neighbor procedure that could be used when studying the variation of modularity in geographic space. The approaches outlined here, readily extendable to non-morphometric datasets, allow study of the variation in the degree of integration between a priori defined modules. A Java application – that will allow performance of the proposed test using a software with graphical user interface – has also been developed and is available at the Morphometrics at Stony Brook Web page (http://life.bio.sunysb.edu/morph/).

Nutrition intervention approaches to reduce malnutrition in oncology patients: A systematic review

Purpose Malnutrition is a very common problem in oncology patients and is associated with many negative consequences including poorer prognosis, quality of life and survival. However, malnutrition in oncology patients is often overlooked although there is growing evidence showing that it can be prevented or reduced through nutrition intervention. This paper aims to provide an updated review on the effectiveness of different nutrition intervention approaches on nutrition status outcomes in oncology patients. Methods Randomised controlled trials (RCTs) published between 1994 and 2014 which examined the effects of nutrition intervention approaches—in particular, nutrition counselling (NC), oral nutrition supplements (ONS) and tube feeding (TF)—on nutrition status outcomes of oncology patients were identified and reviewed. Results Thirteen papers from 11 RCTs with a total of 1077 participants were included. The intervention approaches included NC (four studies), NC + ONS (five studies), ONS (three studies) and TF (three studies). The various results suggest that NC with or without ONS was associated with consistent improvements in several nutrition status outcomes. On the other hand, ONS and TF were associated with inconsistent improvements in few aspects of nutrition status outcomes. Conclusions The referral of oncology patients for NC is recommended given the strong evidence of its beneficial effects on the prevention and reduction of malnutrition. Other forms of nutrition support including ONS and TF may then be included if deemed suitable and necessary for the individual.

Perspectives on Australian, Indian and Malaysian approaches to STEM education

STEM education faces an interesting conundrum. Western countries have implemented constructivist inspired student centred practices which are argued to be more engaging and relevant to student learning than the traditional, didactic approaches. However, student interest in pursuing careers in STEM have fallen or stagnated. In contrast, students in many developing countries in which teaching is still somewhat didactic and teacher centred are more disposed to STEM related careers than their western counterparts. Clearly, factors are at work which impact the way students value science and mathematics. This review draws on three components that act as determinants of science education in three different countries – Australia, India and Malaysia. We explore how national priorities and educational philosophy impacts educational practices as well as teacher beliefs and the need for suitable professional development. Socio-economic conditions for science education that are fundamental for developing countries in adopting constructivist educational models are analysed. It is identified that in order to reduce structural dissimilarities among countries that cause fragmentation of scientific knowledge, for Malaysia constructivist science education through English medium without losing the spirit of Malaysian culture and Malay language is essential while India need to adopt constructivist quality indicators in education. While adopting international English education, and reducing dominance of impact evaluation, India and Malaysia need to prevent losing their cultural and social capital vigour. Furthermore the paper argues that Australia might need to question the efficacy of current models that fail to engage students’ long term interest in STEM related careers. Australian and Malaysian science teachers must be capable of changing the personal biographies of learners for developing scientific conceptual information. In addition both Malaysia and Australia need to provide opportunities for access to different curricular programmes of knowledge based constructivist learning for different levels of learner competencies.