Grotesque gestures or sensuous signs? Rethinking notions of apprenticeship in early childhood education

Education might be conceptualized as a swarm of signs. Deleuze, in Proust and Signs (1964/2000) suggests that “Everything that teaches us something emits signs” (p. 4). Such conceptualizations regard education as fluid, multiple and temporal; a young child can display great skill in decoding some signs but not others. Regarding education as temporal and complex operates at some distance to the sociocultural concepts suggested by Vygotsky (1978) which focus on linear sequences of gaining managed, culturally-loaded knowledge from more experienced others. Despite differing theorizations around apprenticeship, during early years education a child becomes sensitive to signs that collectively prioritize conventionalized knowledge acquisition and communication practices. Drawing for learning and communicating exemplifies apprenticeship as a creative process rather than as sequential or culturally driven, and serves to exemplify Deleuzian concepts around the relationships between time and learning, rather than age or development stage and learning.

eBILITY : from tool use to partnerships

In this article we identify how computational automation achieved through programming has enabled a new class of music technologies with generative music capabilities. These generative systems can have a degree of music making autonomy that impacts on our relationships with them; we suggest that this coincides with a shift in the music-equipment relationship from tool use to a partnership. This partnership relationship can occur when we use technologies that display qualities of agency. It raises questions about the kinds of skills and knowledge that are necessary to interact musically in such a partnership. These are qualities of musicianship we call eBility. In this paper we seek to define what eBility might consist of and how consideration of it might effect music education practice. The 'e' in eBility refers not only to the electronic nature of computing systems but also to the ethical, enabling, experiential and educational dimensions of the creative relationship with technologies with agency. We hope to initiate a discussion around differentiating what we term representational technologies from those with agency and begin to uncover the implications of these ideas for music educators in schools and communities. We hope also to elucidate the emergent theory and practice that has enabled the development of strategies for optimising this kind of eBility where the tool becomes partner. The identification of musical technologies with agency adds to the authors’ list of metaphors for technology use in music education that previously included tool, medium and instrument. We illustrate these ideas with examples and with data from our work with the jam2jam interactive music system. In this discussion we will outline our experiences with jam2jam as an example of a technology with agency and describe the aspects of eBility that interaction with it promotes.

Text mining and probabilistic language modeling for online review spam detecting

In the era of Web 2.0, huge volumes of consumer reviews are posted to the Internet every day. Manual approaches to detecting and analyzing fake reviews (i.e., spam) are not practical due to the problem of information overload. However, the design and development of automated methods of detecting fake reviews is a challenging research problem. The main reason is that fake reviews are specifically composed to mislead readers, so they may appear the same as legitimate reviews (i.e., ham). As a result, discriminatory features that would enable individual reviews to be classified as spam or ham may not be available. Guided by the design science research methodology, the main contribution of this study is the design and instantiation of novel computational models for detecting fake reviews. In particular, a novel text mining model is developed and integrated into a semantic language model for the detection of untruthful reviews. The models are then evaluated based on a real-world dataset collected from amazon.com. The results of our experiments confirm that the proposed models outperform other well-known baseline models in detecting fake reviews. To the best of our knowledge, the work discussed in this article represents the first successful attempt to apply text mining methods and semantic language models to the detection of fake consumer reviews. A managerial implication of our research is that firms can apply our design artifacts to monitor online consumer reviews to develop effective marketing or product design strategies based on genuine consumer feedback posted to the Internet.

The use of dashboards in performance management : evidence from sales managers

The purpose of this paper is to identify and empirically examine the key features, purposes, uses, and benefits of performance dashboards. We find that only about a quarter of the sales managers surveyed1 in Finland used a dashboard, which was lower than previously reported. Dashboards were used for four distinct purposes: (i) monitoring, (ii) problem solving, (iii) rationalizing, and (iv) communication and consistency. There was a high correlation between the different uses of dashboards and user productivity indicating that dashboards were perceived as effective tools in performance management, not just for monitoring one‟s own performance but for other purposes including communication. The quality of the data in dashboards did not seem to be a concern (except for completeness) but it was a critical driver regarding its use. This is the first empirical study on performance dashboards in terms of adoption rates, key features, and benefits. The study highlights the research potential and benefits of dashboards, which could be valuable for future researchers and practitioners.

Computer planning of stereotactic iodine-125 seed brachytherapy for recurrent malignant gliomas

At St Thomas' Hospital, we have developed a computer program on a Titan graphics supercomputer to plan the stereotactic implantation of iodine-125 seeds for the palliative treatment of recurrent malignant gliomas. Use of the Gill-Thomas-Cosman relocatable frame allows planning and surgery to be carried out at different hospitals on different days. Stereotactic computed tomography (CT) and positron emission tomography (PET) scans are performed and the images transferred to the planning computer. The head, tumour and frame fiducials are outlined on the relevant images, and a three-dimensional model generated. Structures which could interfere with the surgery or radiotherapy, such as major vessels, shunt tubing etc., can also be outlined and included in the display. Catheter target and entry points are set using a three-dimensional cursor controlled by a set of dials attached to the computer. The program calculates and displays the radiation dose distribution within the target volume for various catheter and seed arrangements. The CT co-ordinates of the fiducial rods are used to convert catheter co-ordinates from CT space to frame space and to calculate the catheter insertion angles and depths. The surgically implanted catheters are after-loaded the next day and the seeds left in place for between 4 and 6 days, giving a nominal dose of 50 Gy to the edge of the target volume. 25 patients have been treated so far.

Characterisation and source identification of selected pollutants in house dust

House dust is a heterogeneous matrix, which contains a number of biological materials and particulate matter gathered from several sources. It is the accumulation of a number of semi-volatile and non-volatile contaminants. The contaminants are trapped and preserved. Therefore, house dust can be viewed as an archive of both the indoor and outdoor air pollution. There is evidence to show that on average, people tend to stay indoors most of the time and this increases exposure to house dust. The aims of this investigation were to: " assess the levels of Polycyclic Aromatic Hydrocarbons (PAHs), elements and pesticides in the indoor environment of the Brisbane area; " identify and characterise the possible sources of elemental constituents (inorganic elements), PAHs and pesticides by means of Positive Matrix Factorisation (PMF); and " establish the correlations between the levels of indoor air pollutants (PAHs, elements and pesticides) with the external and internal characteristics or attributes of the buildings and indoor activities by means of multivariate data analysis techniques. The dust samples were collected during the period of 2005-2007 from homes located in different suburbs of Brisbane, Ipswich and Toowoomba, in South East Queensland, Australia. A vacuum cleaner fitted with a paper bag was used as a sampler for collecting the house dust. A survey questionnaire was filled by the house residents which contained information about the indoor and outdoor characteristics of their residences. House dust samples were analysed for three different pollutants: Pesticides, Elements and PAHs. The analyses were carried-out for samples of particle size less than 250 µm. The chemical analyses for both pesticides and PAHs were performed using a Gas Chromatography Mass Spectrometry (GC-MS), while elemental analysis was carried-out by using Inductively-Coupled Plasma-Mass Spectroscopy (ICP-MS). The data was subjected to multivariate data analysis techniques such as multi-criteria decision-making procedures, Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE), coupled with Geometrical Analysis for Interactive Aid (GAIA) in order to rank the samples and to examine data display. This study showed that compared to the results from previous works, which were carried-out in Australia and overseas, the concentrations of pollutants in house dusts in Brisbane and the surrounding areas were relatively very high. The results of this work also showed significant correlations between some of the physical parameters (types of building material, floor level, distance from industrial areas and major road, and smoking) and the concentrations of pollutants. Types of building materials and the age of houses were found to be two of the primary factors that affect the concentrations of pesticides and elements in house dust. The concentrations of these two types of pollutant appear to be higher in old houses (timber houses) than in the brick ones. In contrast, the concentrations of PAHs were noticed to be higher in brick houses than in the timber ones. Other factors such as floor level, and distance from the main street and industrial area, also affected the concentrations of pollutants in the house dust samples. To apportion the sources and to understand mechanisms of pollutants, Positive Matrix Factorisation (PMF) receptor model was applied. The results showed that there were significant correlations between the degree of concentration of contaminants in house dust and the physical characteristics of houses, such as the age and the type of the house, the distance from the main road and industrial areas, and smoking. Sources of pollutants were identified. For PAHs, the sources were cooking activities, vehicle emissions, smoking, oil fumes, natural gas combustion and traces of diesel exhaust emissions; for pesticides the sources were application of pesticides for controlling termites in buildings and fences, treating indoor furniture and in gardens for controlling pests attacking horticultural and ornamental plants; for elements the sources were soil, cooking, smoking, paints, pesticides, combustion of motor fuels, residual fuel oil, motor vehicle emissions, wearing down of brake linings and industrial activities.

Kiss

In an age of mobile phones, Facebook, Twitter and online dating, interactions in mediated environments often outnumber face to face encounters. Kiss is an interactive light artwork by artists Priscilla Bracks & Gavin Sade. Kiss reacts to people standing in front of the artwork looking at each other - the moment before kissing. Without interaction the work generates a seductive, ambient, red lighting display, that creates the restful sense of staring into a fire. A fleeting response of white light – like sparks flying in the air – occurs the moment before two faces touch. These sparks are visible in peripheral vision, but fade when the kissing couple turns to look at the work. This moment - as two people look at each other - is a primal moment when two people recognise each other. Face to face encounters with another person are a privileged phenomenon in which the other person's presence and proximity are strongly felt. Kiss does not respond to every instance of a kiss or a look. Its recognition algorithms are fussy, selecting some faces and not others. As in life it’s difficult to tell why sparks fly with some people but not with others. For some this will be felt as a glitch. “This machine should be part of my social life!” But it does promote trial and error, asking viewers to be intimate in public and look at each other for longer than otherwise socially normal. 10 minutes continuous eye contact is said in most cases to arouse sexual feelings in both parties. But even if we don’t look that long, a short time may be all that is needed to explore the face of the person we are looking at. We see that they are human like us. We experience beauty, difference, discomfort, perhaps even nervous laughing, before turning to a more intimate moment of recognition.

Machine vision toolbox for MATLAB, release 3 [Software]

The Toolbox, combined with MATLAB ® and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. For modest image sizes the processing rate can be sufficiently ``real-time'' to allow for closed-loop control. Focus of attention methods such as dynamic windowing (not provided) can be used to increase the processing rate. With input from a firewire or web camera (support provided) and output to a robot (not provided) it would be possible to implement a visual servo system entirely in MATLAB. Provides many functions that are useful in machine vision and vision-based control. Useful for photometry, photogrammetry, colorimetry. It includes over 100 functions spanning operations such as image file reading and writing, acquisition, display, filtering, blob, point and line feature extraction, mathematical morphology, homographies, visual Jacobians, camera calibration and color space conversion.

Rational avoidance of accountability

Anthony Downs public choice theory proposes that every rational person would try to meet their own desires in preference to those of others, and that such rational persons would attempt to obtain these desires in the most efficient manner possible. This paper will demonstrate that the application of this theory would mean that public servants and politicians would perform acts of corruption and maladministration in order to efficiently meet their desires. As such action is unavoidable, political parties must appear to meet the public demand for accountability systems, but must not make these systems viable lest they expose the corruption and maladministration that would threaten the government’s chance or re-election. It is therefore logical for governments to display a commitment for accountability whilst simultaneously ensuring the systems would not be able to interfere with government control or expose its flaws.

Medical ultrasound imaging

Ultrasound is used extensively in the field of medical imaging. In this paper, the basic principles of ultrasound are explained using ‘everyday’ physics. Topics include the generation of ultrasound, basic interactions with material and the measurement of blood flow using the Doppler effect.

New maps of learning for quality art education : what pre-service teachers should learn and be able to do

It would be a rare thing to visit an early years setting or classroom in Australia that does not display examples of young children’s artworks. This practice serves to give schools a particular ‘look’, but is no guarantee of quality art education. The Australian National Review of Visual Arts Education (NRVE) (2009) has called for changes to visual art education in schools. The planned new National Curriculum includes the arts (music, dance, drama, media and visual arts) as one of the five learning areas. Research shows that it is the classroom teacher that makes the difference, and teacher education has a large part to play in reforms to art education. This paper provides an account of one foundation unit of study (Unit 1) for first year university students enrolled in a 4-year Bachelor degree program who are preparing to teach in the early years (0–8 years). To prepare pre-service teachers to meet the needs of children in the 21st century, Unit 1 blends old and new ways of seeing art, child and pedagogy. Claims for the effectiveness of this model are supported with evidence-based research, conducted over the six years of iterations and ongoing development of Unit 1.

Corporate profit and impression management in developing markets

In this study, we examine how organisations in Fiji communicate or legitimise their profit. We base the need for understanding this phenomenon on the following premise. Organisations are part of a wider society, and in competition for scarce resources. Organisations obtain the rights to consume resources upon conception, but must continually legitimise their rights of existence and the need to access the resources. Legitimacy is the ability to continue to justify one’s authority to exist in a society. Organisations rights to resources are contractual, and have a moral obligation to act in a responsible manner and justify their outcomes, actions, and activities to external stakeholders. Such justifications would be an attempt at legitimizing their existence by some form of impression management. Impression management refers to the process by which individuals attempt to influence the impression of others (Melo et al. 2009). In corporate reporting, impression management occurs when management selects, display, and presents that information in a manner that distorts readers’ perceptions of corporate achievements (Neu 1991; Patten 2002), and is managed best through disclosures (O’Donovan 2002). In developing economies, there is significant Government protection that creates near-monopoly sectors and industries. The rendered protection permits organisations to provide essential services to the community at reasonable costs. Organisations in these sectors and industries have an ominous need to legitimise their position and actions. The bond between the organisations and the society is much stronger, making organisations devote more effort in communicating their activities. Protection permits organisations to make reasonable profits to sustain their operations. Society may not accept abnormal profits from operational efficiencies. Profit is fundamental to the society’s perception of an organisation, amplifying the need for the firm to justify a level of profit. Abnormal profit for organisations construes bad news, and organisations would make relevant disclosures to manage stakeholder impressions on profit (Patten 2002). Organisations can manage impressions by disclosing information in a particular way. That is, organisations would want to put the impression that the abnormal profit is justified and the society will obtain its benefits in future. Such form of impression management requires unambiguous disclosure of information. The readability of corporate disclosures is an important indicator of organisational abnormal profit-related legitimacy efforts in developing economies.

Improved Subject Identification in Surveillance Video using Super Resolution

The time consuming and labour intensive task of identifying individuals in surveillance video is often challenged by poor resolution and the sheer volume of stored video. Faces or identifying marks such as tattoos are often too coarse for direct matching by machine or human vision. Object tracking and super-resolution can then be combined to facilitate the automated detection and enhancement of areas of interest. The object tracking process enables the automatic detection of people of interest, greatly reducing the amount of data for super-resolution. Smaller regions such as faces can also be tracked. A number of instances of such regions can then be utilized to obtain a super-resolved version for matching. Performance improvement from super-resolution is demonstrated using a face verification task. It is shown that there is a consistent improvement of approximately 7% in verification accuracy, using both Eigenface and Elastic Bunch Graph Matching approaches for automatic face verification, starting from faces with an eye to eye distance of 14 pixels. Visual improvement in image fidelity from super-resolved images over low-resolution and interpolated images is demonstrated on a small database. Current research and future directions in this area are also summarized.