Public policy and USM : an approach to fit a renewed sense of public purpose

Malaysian Higher educational reform is an important and central aspect of the broader Malaysian public policy focus on excellence, development and national growth. This proposed paper intends to discuss analyze and critique the APEX program for Malaysian Universities. In particular the paper will investigate and discuss the way Universiti Sains Malaysia has interpreted and developed its strategic goals in light of its award of APEX status. Specifically I intend to discuss the strengths and limitations of the Universiti Sains Malaysia agenda, and contextualize it within a broader discussion about the directions of Malaysian Higher Education, in conditions of globalization, network society, and the knowledge economy. The challenges faced by the reform agenda at USM are significant and it is important that any understanding of the USM agenda be informed by deep reflection on the underlying philosophical aims and justifications for its direction. In this way my paper will attempt to show how the USM project is both an important part of Malaysian national development and a critical response to contemporary globalization, while at the same time an innovative and challenging intervention into public policy debate in Higher Education. The values and objectives of USM in regards to its strategic reorientation have implications far beyond the Higher Education sector and these implications will also be discussed.

Teacher educators and 'accidental' careers in academe : an Australian perspective

While teacher education is often seen as the key to preparing qualified teachers who are able to educate students for the demands of the twenty-first century, relatively little attention is paid to the teacher educators who actually do this work. Given the increased demand for teacher educators in Australia due to retirements, and the changing political and institutional context of teacher education, it is timely to understand a little more about the teacher educator workforce. Who are they, why do they work in teacher education, what career pathways have led them to teacher education, what are key aspects of their knowledge and practice as teacher educators, and what are the critical issues faced by those working in teacher education? This paper reports on a study that investigated the pathways into teacher education and the career trajectories of a small group of teacher educators working in a range of university sites in three states in Australia. The study draws on interview data to examine the ways in which these teacher educators talk about the accidental nature of their career pathways, their views about teaching and research, and the variable ways in which experiential and research knowledge are recognised and valued within the field of teacher education and in the academy. The report highlights important considerations for the preparation of the next generation of teacher educators as well as for their induction, mentoring and career planning in order to build and sustain a viable teacher education workforce for the twenty-first century.

Western consumers' understanding of carbon offsets and its relationship to behavior

Purpose – The purpose of this paper is to examine Western consumers’ levels of general environmental knowledge and specific knowledge related to carbon offsets and the relationships between specific types of environmental knowledge and consumers’ related behaviors.

Design/methodology/approach – The study surveyed consumers from Australia (n ¼ 345) and the USA (n ¼ 340) who were sourced through national online panels. The analysis looks at differences between knowledge and behaviors, both across the samples as well as whether there are differences between consumers with high and low levels of environmental and carbon offset knowledge, and whether demographics impact on knowledge levels.

Findings – The results found that consumers had higher levels of general knowledge than carbon offset knowledge and the two types of knowledge were not related. ANOVA results considering country differences and demographic factors found that general knowledge was affected by education, age and gender, with carbon knowledge being affected by education. Environmental behavior was affected by age and gender as well, and no demographic factors influenced carbon-related behavior. Respondent’s location (i.e. USA or Australia) did not influence knowledge or behaviors, but interacted with education in regard to carbon knowledge and behavior.

Social implications – This research suggests that consumers are not acting on their carbon knowledge, which may be due to the debate surrounding carbon issues and/or because the information is based on complex scientific foundations, which the average consumer may have difficulty grasping, regardless of country.

Originality/value – This is one of the first pieces of academic research to explore consumers’ understanding of carbon-related information and how this knowledge impacts behavior. It also proposes a measure for evaluating carbon offset knowledge, which could be used to broaden environmental knowledge assessments.

Raat Ki Rani : nightclubs, vamps and urban transgressive spaces in Hindi cinema

This paper considers how city spaces in Hindi cinema have repeatedly been viewed as sites of transgressive sexual experience, particularly via representations of female sexuality in nightclubs and the flagrant performances of the women or ‘vamps’ that inhabit them. Emerging in Hindi cinema in the 1950s, and becoming a staple in films of the 1960s and 1970s, the ‘vamp’ became synonymous with unrestrained sexuality and the immorality of the city. The dichotomy between the idealised, bucolic, timeless village and the city as an icon of degenerate modernity was repeatedly seen in Hindi cinema, and the strongest signifier of this urban immorality was the ‘vamp’ who was seen as an outsider, and connoted urban vice, excess and desire. By and large the actresses that played ‘vamps’ (such as the blonde haired and blue eyed Helen) were of ‘Western’ appearance. The cabaret and nightclub were thus seen as being ‘Western’ in origin. This paper discusses how this was perhaps a response to colonial and Orientalist stereotyping, where the ‘Indian’ woman and the ‘Western’ woman operated as binary oppositional structures. Such oppositions were clearly present in nightclub dance performances, which were full of meaning to the cinematic audience, who would be able to ‘read’ the seductive, gyrating and explicit movements. This paper decodes examples of the movements in these ‘decadent’ performances, as it was through these movements and performances that the ‘westernised vamp’ became firmly located in urban transgressive spaces, closely tied with national anxiety about the depravity of city spaces.

Breath and the truths of youth at risk : allegory and the social scientific imagination

The ways that we have invented for knowing young people are governmentalised. This governmentalisation produces powerful incentives to conform to the rule-bound and institutionalised knowledge practices that institutions, government departments, corporations, and NGOs understand as being capable of telling truths about young people and about risk. I argue that knowledge practices in the social sciences should trouble what counts as truth, as evidence, and the ways in which these truths can be produced.

These interests will be examined through a discussion of the ways in which Tim Winton's novel Breath can be read as an allegorical tale about the terror of being ordinary: and of the teenage years as being a time in a life in which the fear of being ordinary compels Winton's key characters to seek out, sometimes stumble upon that which promises to make their's a life less ordinary. Here risk is something that breathes energy and purpose into lifeworlds that are dominated by the institutionalised ordinariness of family, school, and work. As an allegorical tale told from the vantage point of hindsight, Breath unsettles what it is that the social sciences can tell us about youth (as becoming) and risk (as mitigated by prudential foresight).

Targeting and measuring housing problems in developing countries through urban texture analysis

Latin-american countries passed from predominantely rural to predominantely urban within few decades. The level of urbanisation in Brazil progressed from 36% in 1950, 50% in 1970, and scalating to 85% in 2005. This rapid transformation resulted in many social problems, as cities were not able to provide appropriate housing and infrastructure for the growing population. As a response, the Brazilian Ministry for Cities, in 2005, created the National System for Social Housing, with the goal to establish guidelines in the Federal level, and build capacity and fund social housing projects in the State and Local levels. This paper presents a research developed in Gramado city, Brazil, as part of the Local Social Housing Plan process, with the goal to produce innovative tools to help social housing planning and management. It proposes and test a methodology to locate and characterise/rank housing defficiencies across the city combining GIS and fractal geometry analysis. Fractal measurements, such as fractal dimension and lacunarity, are able to differentiate urban morphology, and integrated to infrastructure and socio-economical spatial indicators, they can be used to estimate housing problems and help to target, classify and schedule actions to improve housing in cities and regions. Gramado city was divided in a grid with 1,000 cells. For each cell, the following indicators were measured: average income of households, % of roads length which are paved (as a proxy for availability of infrastructures as water and sewage), fractal dimension and lacunarity of the dwellings spatial distribution. A statistical model combining those measurements was produced using a sample of 10% of the cells divided in five housing standards (from high income/low density dwellings to slum's dwellings). The estimation of the location and level of social housing deficiencies in the whole region using the model, compared to the real situation, achived high correlations. Simple and based on easily accessible and inexpensive data, the method also helped to overcome limitations of lack of information and fragmented knowledge of the area related to housing conditions by local professionals.

The water harvesting landscape of Budj Bim and Lake Condah : whither world heritage recognition

In July 2004 the Budj Bim National Heritage Landscape was inscribed onto the National Heritage List. The place accorded with the criterion of A. Events, Processes (in demonstrating a place of Indigenous-European colonization conflict), B. Rarity (in demonstrating the context, historical and philosophy of benevolence of Governments to Indigenous people), F. Creative or technical achievement (in demonstrating technical accomplishment in construction the system), and, I. Indigenous tradition (in demonstrating longevity and continuity of cultural practices). Such affords Budj Bim, that hosts a unique Indigenous water harvesting and aquaculture infrastructure system dating some 7,000-10,000 years within a country that the Gunditjmara have managed for some 20,000-50,000 years, national standing. Within the lands gazetted is a complex and multi-faceted system that would today be categorised as a major integrated landscape planning and catchment management scheme that includes demonstrable major site engineering, hydraulic engineering, and aquaculture and water management scientific evidence and process knowledge and application.

Semantic trajectory based event detection and event pattern mining

Video event detection is an effective way to automatically understand the semantic content of the video. However, due to the mismatch between low-level visual features and high-level semantics, the research of video event detection encounters a number of challenges, such as how to extract the suitable information from video, how to represent the event, how to build up reasoning mechanism to infer the event according to video information. In this paper, we propose a novel event detection method. The method detects the video event based on the semantic trajectory, which is a high-level semantic description of the moving object’s trajectory in the video. The proposed method consists of three phases to transform low-level visual features to middle-level raw trajectory information and then to high-level semantic trajectory information. Event reasoning is then carried out with the assistance of semantic trajectory information and background knowledge. Additionally, to release the users’ burden in manual event definition, a method is further proposed to automatically discover the event-related semantic trajectory pattern from the sample semantic trajectories. Furthermore, in order to effectively use the discovered semantic trajectory patterns, the associative classification-based event detection framework is adopted to discover the possibly occurred event. Empirical studies show our methods can effectively and efficiently detect video events.

How honeybees make grazing landings on flat surfaces

Freely flying bees were filmed as they landed on a flat, horizontal surface, to investigate the underlying visuomotor control strategies. The results reveal that (1) landing bees approach the surface at a relatively shallow descent angle; (2) they tend to hold the angular velocity of the image of the surface constant as they approach it; and (3) the instantaneous speed of descent is proportional to the instantaneous forward speed. These characteristics reflect a surprisingly simple and effective strategy for achieving a smooth landing, by which the forward and descent speeds are automatically reduced as the surface is approached and are both close to zero at touchdown. No explicit knowledge of flight speed or height above the ground is necessary. A model of the control scheme is developed and its predictions are verified. It is also shown that, during landing, the bee decelerates continuously and in such a way as to keep the projected time to touchdown constant as the surface is approached. The feasibility of this landing strategy is demonstrated by implementation in a robotic gantry equipped with vision.

Nonnegative shared subspace learning and its application to social media retrieval

Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can seriously affect the precision of a social tag-based web retrieval system. Therefore improving the precision performance of these social tag-based web retrieval systems has become an increasingly important research topic. To this end, we propose a shared subspace learning framework to leverage a secondary source to improve retrieval performance from a primary dataset. This is achieved by learning a shared subspace between the two sources under a joint Nonnegative Matrix Factorization in which the level of subspace sharing can be explicitly controlled. We derive an efficient algorithm for learning the factorization, analyze its complexity, and provide proof of convergence. We validate the framework on image and video retrieval tasks in which tags from the LabelMe dataset are used to improve image retrieval performance from a Flickr dataset and video retrieval performance from a YouTube dataset. This has implications for how to exploit and transfer knowledge from readily available auxiliary tagging resources to improve another social web retrieval system. Our shared subspace learning framework is applicable to a range of problems where one needs to exploit the strengths existing among multiple and heterogeneous datasets.

On the automated interpretation and indexing of American football

This work combines natural language understanding and image processing with incremental learning to develop a system that can automatically interpret and index American Football. We have developed a model for representing spatio-temporal characteristics of multiple objects in dynamic scenes in this domain. Our representation combines expert knowledge, domain knowledge, spatial knowledge and temporal knowledge. We also present an incremental learning algorithm to improve the knowledge base as well as to keep previously developed concepts consistent with new data. The advantages of the incremental learning algorithm are that is that it does not split concepts and it generates a compact conceptual hierarchy which does not store instances.

Human saccadic eye movements and tracking by active foveation in log polar space

One of the possible models of the human visual system (HVS) in the computer vision literature has a high resolution fovea and exponentially decreasing resolution periphery. The high resolution fovea is used to extract necessary information in order to solve a vision task and the periphery may be used to detect motion. To obtain the desired information, the fovea is guided by the contents of the scene and other knowledge to position the fovea over areas of interest. These eye movements are called saccades and corrective saccades. A two stage process has been implemented as a mechanism for changing foveation in log polar space. Initially, the open loop stage roughly foveates on the best interest feature and then the closed loop stage is invoked to accurately iteratively converge onto the foveation point. The open loop stage developed for the foveation algorithm is applied to saccadic eye movements and a tracking system. Log polar space is preferred over Cartesian space as: (1) it simultaneously provides high resolution and a wide viewing angle; and (2) feature invariance occurs in the fovea which simplifies the foveation process.

A Bayesian framework for learning shared and individual subspaces from multiple data sources

This paper presents a novel Bayesian formulation to exploit shared structures across multiple data sources, constructing foundations for effective mining and retrieval across disparate domains. We jointly analyze diverse data sources using a unifying piece of metadata (textual tags). We propose a method based on Bayesian Probabilistic Matrix Factorization (BPMF) which is able to explicitly model the partial knowledge common to the datasets using shared subspaces and the knowledge specific to each dataset using individual subspaces. For the proposed model, we derive an efficient algorithm for learning the joint factorization based on Gibbs sampling. The effectiveness of the model is demonstrated by social media retrieval tasks across single and multiple media. The proposed solution is applicable to a wider context, providing a formal framework suitable for exploiting individual as well as mutual knowledge present across heterogeneous data sources of many kinds.

Learning from arid planning and design history and practice : from Woomera to creating the new Roxby Downs communities

The principles and knowledge about arid planning and design have much applicability to contemporary Australian planning discourses because of climate change evidence and policy shifts that sketch a hotter and more unreliable future climate with an emphasis upon a semi-arid environment for Australia. Despite this merit and intent, we appear to have learnt little from the past and are failing to draw upon the pioneering planning and design knowledge that underpinned community development and scaffolding in numerous Australian arid and semi-arid communities, and to bring this knowledge into our future planning processes and strategies.

This paper considers the essential attributes and variables of three Australian arid planning and design, drawing upon historical practice and research that have been explored in the planning of semi-arid and arid places including Port Pirie, Whyalla, Monarto, Broken Hill, Port Augusta, Leigh Creek, Andamooka, Olympic Dam Village and Roxby Downs. It specifically reviews Woomera Village (1940s) Shay Gap (1970s) and the proposed extensions to Roxby Downs (2010s) as models of how to better plan and design communities in arid environments. Instrumental in these innovations is the use of landscape-responsive urban design strategies, water harvesting and irregular rainfall capture, arid horticulture, building design, colour and materiality, orientation and shading strategies, and social community construction under difficult isolationist circumstances. The paper points to key strategies that need to be incorporated in future climate change responsive community developments and policy making.

An examination of the associations among multiple memory systems, past tense, and vocabulary in typically developing 5 year old children

Purpose: Considerable research has investigated the role of verbal working memory in language development in children with and without language problems. Much less is currently known about the relationship between language and the declarative and procedural memory systems. This study examined whether these 2 memory systems were related to typically developing children's past tense and lexical knowledge.

Method: Fifty-eight typically developing children approximately 5 years of age completed a battery of linguistic and nonlinguistic tasks, including tests of vocabulary, past tense production, and procedural and declarative memory.

Results: The results showed that declarative and procedural memory were not correlated with either regular or irregular past tense use. A significant correlation was observed between declarative memory and vocabulary.

Conclusions: The results of the study were not consistent with the view that the declarative and procedural memory systems support children's use of the regular and irregular past tense. However, evidence was found suggesting that declarative memory supports vocabulary in this age group.