Experience and the artist's body : resisting the Uber-artist construct in socially engaged performance

Looking back over the past 20 years of my practice, the vista is littered with ambiguities of process and form within socially engaged performance. Sifting through the debris, one question arises: what have I been doing?; another might be: what have I been making? What feels relevant to me is the aggregate of my experiences; the who I am. With the current sector creep towards instrumentalising arts for social agendas, the value and relevance of experience ebbs. Demands on artists extend well beyond aesthetic skill, process facilitation and project management. In this essay, I critique the risk within socially engaged practice of art becoming subservient to social agendas and consider how the shift towards an uber-artist construct renders the sector unsustainable.

The use of visual art in judging clinical competence in the operating suite

This research evolved out of the need to design and validate an instrument to assess nursing competencies in the operating suite. The study was an empirical investigation of the use of analytical and holistic rubrics to determine various levels of performance including inter-rater reliability. Three video clips that captured nurses performing as instrument nurses in the operating suite were recorded and used as prompts by the expert raters who judged the performance of the candidates in each video clip using the rubrics. Gaining consent for recording the video clips in the operating suite was difficult, creating a barrier to conducting this research. Ethical issues were addressed, which included editing of the video clips and removal of sound as stipulated by the Human Research and Ethics Committee. Despite the barriers to using visual art in research, this study produced acceptable inter-rater reliability in determining various levels of performance of the instrument nurse in the operating suite.

Temporal verification for scientific cloud workflows: State-of-the-art and research challenges

Cloud computing is establishing itself as the latest computing paradigm in recent years. As doing science in the cloud is becoming a reality, scientists are now able to access public cloud centers and employ high-performance computing resources to run scientific applications. However, due to the dynamic nature of the cloud environment, the usability of scientific cloud workflow systems can be significantly deteriorated if without effective service quality assurance strategies. Specifically, workflow temporal verification as the major approach for workflow temporal QoS (Quality of Service) assurance plays a critical role in the on-time completion of large-scale scientific workflows. Great efforts have been dedicated to the area of workflow temporal verification in recent years and it is high time that we should define the key research issues for scientific cloud workflows in order to keep our research on the right track. In this paper, we systematically investigate this problem and present four key research issues based on the introduction of a generic temporal verification framework. Meanwhile, state-of-the-art solutions for each research issue and open challenges are also presented. Finally, SwinDeW-V, an ongoing research project on temporal verification as part of our SwinDeW-C cloud workflow system, is also demonstrated.

State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems - a review

Given the considerable recent attention to distributed power generation and interest in sustainable energy, the integration of photovoltaic (PV) systems to grid-connected or isolated microgrids has become widespread. In order to maximize power output of PV system extensive research into control strategies for maximum power point tracking (MPPT) methods has been conducted. According to the robust, reliable, and fast performance of artificial intelligence-based MPPT methods, these approaches have been applied recently to various systems under different conditions. Given the diversity of recent advances to MPPT approaches a review focusing on the performance and reliability of these methods under diverse conditions is required. This paper reviews AI-based techniques proven to be effective and feasible to implement and very common in literature for MPPT, including their limitations and advantages. In order to support researchers in application of the reviewed techniques this study is not limited to reviewing the performance of recently adopted methods, rather discusses the background theory, application to MPPT systems, and important references relating to each method. It is envisioned that this review can be a valuable resource for researchers and engineers working with PV-based power systems to be able to access the basic theory behind each method, select the appropriate method according to project requirements, and implement MPPT systems to fulfill project objectives.

Nijinsky review: Passion meets frailty in triumphant performance

His story is one of the most famous of the 20th century. As a dancer, he was a beacon of modernism, an icon of androgynous sensuality, and a performer with spectacular athletic prowess. As a choreographer, his experiments with movement – often harsh, primitive and contextualised within a nostalgia for Russia's pagan past – ended with a deconstruction of ballet as an art form, severed from its links to classical technique in favour of a movement seen as revolutionary.

Beyond the market: alternate possibilities for valuing art

In our creative workshop we recreate the three 'types' of society by asking our audience to enact a society in which one particular mode of evaluation is dominant and subsequently enact another society based on another mode of evaluation. Participants will experience how different types of evaluation affect how we assemble ourselves as a society and ontologically. We make use of artworks that are representative of the three different eras as sensemaking devices of how societies have been ordered through different modes of evaluation.