946 research outputs found

    The physiological learning process underlying the development of left-hand technique in violinsts

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    Includes bibliographical references (leaves 44-46).In violin pedagogy, the left hand has often been referred to as the artisan and the right hand the artist of the violinist. This general approach to the playing of the violin sheds light on the importance that must be placed on the development of a sound left-hand technique from an early stage. This research was inspired by the ideas of one of the leading string pedagogues of today, Prof. Jack de Wet, whose successful synthesis of the science and art of music making is reflected in his teachings. In this dissertation the relevance of physiological aspects, such as sensorimotor development, is discussed in light of their influence on the basic development of technical aspects of the left hand in violinists. This study endeavours to highlight the role and importance of physiological aspects in the development and transition of the violinist from a """"machine for playing the violin"""" to that of a """"machine for making music""""

    Mining whole sample mass spectrometry proteomics data for biomarkers: an overview

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    In this paper we aim to provide a concise overview of designing and conducting an MS proteomics experiment in such a way as to allow statistical analysis that may lead to the discovery of novel biomarkers. We provide a summary of the various stages that make up such an experiment, highlighting the need for experimental goals to be decided upon in advance. We discuss issues in experimental design at the sample collection stage, and good practise for standardising protocols within the proteomics laboratory. We then describe approaches to the data mining stage of the experiment, including the processing steps that transform a raw mass spectrum into a useable form. We propose a permutation-based procedure for determining the significance of reported error rates. Finally, because of its general advantages in speed and cost, we suggest that MS proteomics may be a good candidate for an early primary screening approach to disease diagnosis, identifying areas of risk and making referrals for more specific tests without necessarily making a diagnosis in its own right. Our discussion is illustrated with examples drawn from experiments on bovine blood serum conducted in the Centre for Proteomic Research (CPR) at Southampton University

    Is there cultural safety in Australian universities?

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    This paper examines the cultural safety offered to Australian Aboriginal and Torres Strait Islander students within their university environments. In the context of this paper, cultural safety includes cultural competency, as recently subscribed by Universities Australia and ‘extends beyond (to) cultural awareness and cultural sensitivity (Bin Sellik, 2003, p. 210) and includes putting in place explicit measures to address racism of all types. Informing this study were interviews and an online survey conducted with Aboriginal students and staff members of Aboriginal centres which formed part of a larger study investigating the Transition of Aboriginal and Torres Strait Islander Students into Higher Education (Oliver et al., 2013a; 2013b). Their responses provided evidence suggesting overt and covert experiences of racism, exclusion and cultural isolation indicating that there is still much to be done before cultural safety is truly attained in our universities. As such our findings support recommendations stemming from previous research indicating that cultural safety is an issue that needs to be brought to the attention of governing bodies within our higher education sector

    Packing of concave polyhedra with continuous rotations using nonlinear optimisation

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    We study the problem of packing a given collection of arbitrary, in general concave, polyhedra into a cuboid of minimal volume. Continuous rotations and translations of polyhedra are allowed. In addition, minimal allowable distances between polyhedra are taken into account. We derive an exact mathematical model using adjusted radical free quasi phi-functions for concave polyhedra to describe non-overlapping and distance constraints. The model is a nonlinear programming formulation. We develop an efficient solution algorithm, which employs a fast starting point algorithm and a new compaction procedure. The procedure reduces our problem to a sequence of nonlinear programming subproblems of considerably smaller dimension and a smaller number of nonlinear inequalities. The benefit of this approach is borne out by the computational results, which include a comparison with previously published instances and new instances

    Management of osteoarthritis of the knee

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    Osteoarthritis is a chronic disease; management should be patient centred and coordinated, with attention to modifiable risk factors and comorbidities Focus on conservative non-drug treatment, particularly exercise; for overweight or obese patients weight loss is recommended Management should be evidence based; do not use interventions with high cost and risk that outweigh their benefits Use paracetamol or non-steroidal anti-inflammatory drugs for pain relief, with due attention to precautions and contraindications Refer patients to a physiotherapist for exercise, manual therapy, and gait aids; orthotist for bracing; psychologist for cognitive behavioural therapy; and dietitian for nutritional advice Do not use arthroscopy for pain management; refer patients for joint replacement only when symptoms are severe and other treatments have faile

    Optimal clustering of a pair of irregular objects

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    Cutting and packing problems arise in many fields of applications and theory. When dealing with irregular objects, an important subproblem is the identification of the optimal clustering of two objects. Within this paper we consider a container (rectangle, circle, convex polygon) of variable sizes and two irregular objects bounded by circular arcs and/or line segments, that can be continuously translated and rotated. In addition minimal allowable distances between objects and between each object and the frontier of a container, may be imposed. The objects should be arranged within a container such that a given objective will reach its minimal value. We consider a polynomial function as the objective, which depends on the variable parameters associated with the objects and the container. The paper presents a universal mathematical model and a solution strategy which are based on the concept of phi-functions and provide new benchmark instances of finding the containing region that has either minimal area, perimeter or homothetic coefficient of a given container, as well as finding the convex polygonal hull (or its approximation) of a pair of objects

    Non-Parametric Extraction of Implied Asset Price Distributions

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    Extracting the risk neutral density (RND) function from option prices is well defined in principle, but is very sensitive to errors in practice. For risk management, knowledge of the entire RND provides more information for Value-at-Risk (VaR) calculations than implied volatility alone [1]. Typically, RNDs are deduced from option prices by making a distributional assumption, or relying on implied volatility [2]. We present a fully non-parametric method for extracting RNDs from observed option prices. The aim is to obtain a continuous, smooth, monotonic, and convex pricing function that is twice differentiable. Thus, irregularities such as negative probabilities that afflict many existing RND estimation techniques are reduced. Our method employs neural networks to obtain a smoothed pricing function, and a central finite difference approximation to the second derivative to extract the required gradients. This novel technique was successfully applied to a large set of FTSE 100 daily European exercise (ESX) put options data and as an Ansatz to the corresponding set of American exercise (SEI) put options. The results of paired t-tests showed significant differences between RNDs extracted from ESX and SEI option data, reflecting the distorting impact of early exercise possibility for the latter. In particular, the results for skewness and kurtosis suggested different shapes for the RNDs implied by the two types of put options. However, both ESX and SEI data gave an unbiased estimate of the realised FTSE 100 closing prices on the options' expiration date. We confirmed that estimates of volatility from the RNDs of both types of option were biased estimates of the realised volatility at expiration, but less so than the LIFFE tabulated at-the-money implied volatility.Comment: Paper based on Application of Physics in Financial Analysis,APFA5, Conference Presentation, Torino, Italy. 11.5 Page
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