142 resultados para Red Star (club de football)
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Background Designing novel proteins with site-directed recombination has enormous prospects. By locating effective recombination sites for swapping sequence parts, the probability that hybrid sequences have the desired properties is increased dramatically. The prohibitive requirements for applying current tools led us to investigate machine learning to assist in finding useful recombination sites from amino acid sequence alone. Results We present STAR, Site Targeted Amino acid Recombination predictor, which produces a score indicating the structural disruption caused by recombination, for each position in an amino acid sequence. Example predictions contrasted with those of alternative tools, illustrate STAR'S utility to assist in determining useful recombination sites. Overall, the correlation coefficient between the output of the experimentally validated protein design algorithm SCHEMA and the prediction of STAR is very high (0.89). Conclusion STAR allows the user to explore useful recombination sites in amino acid sequences with unknown structure and unknown evolutionary origin. The predictor service is available from http://pprowler.itee.uq.edu.au/star.
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Purpose The purpose of this chapter is to analyse the deviant behaviour of individuals in organisations. Deviants are those who depart from organisational norms. A typology of perceived deviant behaviour is developed from the deviance literature, and subsequently tested. Methodology/approach Star Trek: Into Darkness text is qualitatively analysed as a data source. Three different character arcs are analysed in relation to organisational deviance. Starfleet is the specific, fictional, organisational context. Findings We found that the typology of deviance is conceptually robust, and facilitates categorisation of different types of deviant behaviour, over time. Research limitations/implications Deviance is socially ascribed; so better categorisation of such behaviour improves our understanding of how specific behaviour might deviate from organisational norms, and how different behaviours can mean individuals can be viewed positively or negatively over time. Further research might determine management responses to the different forms of deviance, and unpack the processes where individuals eschew ‘averageness’ and become deviants. Practical implications The typology advanced has descriptive validity to describe deviant behaviour. Social implications Social institutions such as organisations ascribe individual deviants, both negatively and positively. Originality/value This chapter extends our understanding of positive and negative deviance in organisations by developing a new typology of deviant behaviour. This typology has descriptive validity in understanding deviant behaviour. Our understanding of both positive and negative deviance in organisational contexts is enhanced, as well as the utility of science fiction literature in ethical analysis.
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Respect for a person's right to make choices and participate in decision making is generally seen as central to quality of life and well-being. When a person moves into a residential aged care facility (RACF), however, decision making becomes more complicated, particularly if the person has a diagnosis of dementia. Little is known about how staff in RACFs perceive that they support decision making for people with dementia within their everyday practice, and this article seeks to address this knowledge gap. The article reports on the findings of a qualitative study conducted in the states of Victoria and Queensland, Australia with 80 direct care staff members. Findings revealed that the participants utilized a number of strategies in their intention to support decision making for people with dementia, and had an overall perception that "a little effort goes a long way."
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Purpose – The purpose of this paper is to examine the effect of superstars (and other factors) on football fans’ attraction to competition (i.e. disloyal behavior). Design/methodology/approach – A proprietary data set including archival data on professional German football players and clubs as well as survey data of more than 900 football fans is used. The hypotheses are tested with two-sample mean-comparison t-tests and multivariate probit models. Findings – This study provides evidence that superstars both attract new fans and contribute to the retention of existing fans. While the presence of superstars, team loyalty and team identification prevent football fans from being attracted to competition, the team's recent performance seems to have no effect. Fans who select their favorite player from a competing team rather choose superstars, young players, players who are known for exemplary behavior and defenders. Originality/value – This paper contributes to existing research by expanding the list of antecedents of disloyalty and by being the first to employ independent, quantitative data for the assessment of superstar characteristics in the context of team loyalty.
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Leg Clubs are an innovative approach to the holistic treatment of leg ulcers. They are run in a social context by community nurses who deliver ongoing support and treatment for a wide spectrum of lower limb pathology. This article looks at how the Leg Club model has been established in Australia.
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To determine if breed differences in susceptibility to trichostrongyloid and lungworm infection exist, two groups of weaner deer containing seven red deer and red deer X wapiti F1 hybrids were compared using faecal egg counts and faecal larval counts. All animals were run on the same pasture at the same time and treated with the same anthelmintics at the same time. Results indicated that there were significant differences between red deer and red deer X wapiti hybrids, with red deer having higher faecal lungworm counts and red deer X wapiti hybrids having significantly higher faecal egg counts. It is likely that these differences were due to breed. Differences in the efficacy of anthelmintic treatments were also noted between the two groups, with oral oxfendazole being less effective at reducing faecal lungworm counts in red deer X wapiti hybrids than red deer.
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Red blood cells (RBCs) exhibit different types of motions and deformations when the blood flows through capillaries. Interestingly, due to the complex three-dimensional structure of the RBC membrane, RBCs show three-dimensional motions and deformations in the blood flow. These motions and deformations of the RBCs highly depend on the stiffness of the RBC membrane and on the geometrical parameters of the capillary through which blood flows. However, capillaries always do not have uniform cross sections and some capillaries have stenosed segments, where cross sectional area suddenly reduces. Further, some diseases can alter the stiffness of the RBC membrane drastically. In this study, the deformation behaviour of a single three-dimensional RBC is examined, when it moves through a stenosed capillary. A three-dimensional spring network is used to model the RBC membrane. The RBC’s inside and outside fluids are discretized into a finite number of mass points and treated by smoothed particle hydrodynamics (SPH) method. The capillary is considered as a rigid tube with a stenosed section. The deformation index, mean velocity and total energy of the RBC are analysed when it flows through the stenosed capillary. Further, motion and deformation of the RBCs with different membrane stiffness (KB) are compared when they flow through the stenosed segment of the capillary. The simulation results demonstrate the RBCs are subjected to a larger deformation when they move through the stenosed part of the capillary and the RBCs with lower KBvalues easily pass through the stenosed segment of the capillary. Further, RBCs having higher KBvalues have a lower mean velocity and it leads to slow down the overall blood flow rate
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Red blood cells (RBCs) are the most common type of cells in human blood and they exhibit different types of motions and deformed shapes in capillary flows. The behaviour of the RBCs should be studied in order to explain the RBC motion and deformation mechanism. This article presents a numerical simulation method for RBC deformation in microvessels. A two dimensional spring network model is used to represent the RBC membrane, where the elastic stretch/compression energy and the bending energy are considered with the constraint of constant RBC surface area. The forces acting on the RBC membrane are obtained from the principle of virtual work. The whole fluid domain is discretized into a finite number of particles using smoothed particle hydrodynamics concepts and the motions of all the particles are solved using Navier--Stokes equations. Minimum energy concepts are used to simulate the deformed shape of the RBC model. To verify the model, the motion of a single RBC is simulated in a Poiseuille flow and the characteristic parachute shape of the RBC is observed. Further simulations reveal that the RBC shows a tank treading motion when it flows in a linear shear flow.
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Red blood cells (RBCs) are nonnucleated liquid capsules, enclosed in deformable viscoelastic membranes with complex three dimensional geometrical structures. Generally, RBC membranes are highly incompressible and resistant to areal changes. However, RBC membranes show a planar shear deformation and out of plane bending deformation. The behaviour of RBCs in blood vessels is investigated using numerical models. All the characteristics of RBC membranes should be addressed to develop a more accurate and stable model. This article presents an effective methodology to model the three dimensional geometry of the RBC membrane with the aid of commercial software COMSOL Multiphysics 4.2a and Fortran programming. Initially, a mesh is generated for a sphere using the COMSOL Multiphysics software to represent the RBC membrane. The elastic energy of the membrane is considered to determine a stable membrane shape. Then, the actual biconcave shape of the membrane is obtained based on the principle of virtual work, when the total energy is minimised. The geometry of the RBC membrane could be used with meshfree particle methods to simulate motion and deformation of RBCs in micro-capillaries
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The Queensland Property Law Review is currently reviewing seller disclosure laws in Queensland. The review will consider if the desire to provide consumers of real estate with valuable timely information about a property offered for sale can be effectively delivered with a minimum of red tape. This article examines the principles proposed by the first discussion paper on seller disclosure and their likely effect in practice.
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There have been different approaches to studying penalty-kick performance in association football. In this paper, the authors synthesize key findings within an ecological dynamics theoretical framework. According to this theoretical perspective, information is the cornerstone for understanding the dynamics of action regulation in penalty-kick performance. Research suggests that investigators need to identify the information sources that are most relevant to penalty-kick performance. An important task is to understand how constraints can channel (i.e. change, emphasize or mask) information sources used to regulate upcoming actions and how the influence of these constraints is expressed in players' behavioural dynamics. Due to the broad range of constraints influencing penalty-kick performance, it is recommended that future research adopts an interdisciplinary focus on performance assessment to overcome the current lack of representativeness in penalty-kick experimental designs. Such an approach would serve to capture the information-based control of action of both players as components of this dyadic system in competitive sport.
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Since the 2000s, teachers in an increasing number of Australian schools have been learning how to support students with refugee backgrounds. For some of these students, entry into the Australian school system is not easy. English literacy is integral to some of the challenges confronting the students. In response, educators have been developing and researching ways of engaging with the students’ language and literacy learning. Much of the focus has been on traditional print-based school literacies. In contrast, I look here at student engagement in digital literacies in an after-school media club. Several concepts from the theory of French sociologist, Pierre Bourdieu are useful for understanding the position of students of refugee background in the Australian school system. Like other conflict theories, Bourdieusian theory has sometimes been criticised as ‘pessimistic’, that is, for suggesting that schools necessarily reproduce social disadvantage. However, others have used Bourdieusian theory to analyse and critique the reproductive work of schooling for groups of students who experience educational disadvantage. I align myself with this latter tradition. Specifically, I use Bourdieu’s triad of concepts to explain aspects of the literacy education experiences of some young people of refugee background: field, capital and habitus. In particular, I look at questions of the legitimation of students’ competences as capital in literate fields within and beyond the school context. Data are drawn from an Australian Research Council-funded project, Digital Learning and Print Literacy: A design experiment for the reform of low socio-economic, culturally diverse schools (2009-14). The data analysed in this chapter include interviews and observations relating to the participation of two Congolese girls in an after school media club. Implications are drawn for teachers of literacy in culturally and linguistically diverse contexts. Consideration is made of early childhood, primary and secondary settings.
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Synopsis and review of the Australian feature film Red Hill, directed by Patrick Hughes and starring Ryan Kwanten.
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A novel shape recognition algorithm was developed to autonomously classify the Northern Pacific Sea Star (Asterias amurenis) from benthic images that were collected by the Starbug AUV during 6km of transects in the Derwent estuary. Despite the effects of scattering, attenuation, soft focus and motion blur within the underwater images, an optimal joint classification rate of 77.5% and misclassification rate of 13.5% was achieved. The performance of algorithm was largely attributed to its ability to recognise locally deformed sea star shapes that were created during the segmentation of the distorted images.