Sex differences in elbow and wrist joint loading during the cartwheel and round off with different hand positions performed by young gymnasts

The aim of the study was to determine if sex differences exist in the key elbow and wrist joint injury risk factors during different cartwheel (CW) and round-off (RO) techniques performed by young male and female artistic gymnasts. Sixteen active young gymnasts (8 males and 8 females) performed 30 successful trials of CW and RO with three different hand positions (parallel (10), T-shape (10) and reverse (10)). Synchronised kinematic and kinetic data were collected for each trial. Two-way repeated measures ANOVA (3 × 2, technique × sex) and effect-sizes (ES) were used for statistical analysis. In conclusion, female gymnasts exhibited greater normalised peak vertical ground reaction forces (VGRF), elbow and wrist compression forces and elbow internal adduction moments during CW and RO skills compared with male gymnasts. In both sexes, the parallel and reverse techniques increased peak VGRF, elbow and wrist compression forces and the elbow internal adduction moment. Increased elbow flexion resulted in decreased peak VGRF, elbow compression forces and elbow internal adduction moment. Injury risk factors including elbow extension and internal adduction moment with axial compression force suggest that a CW and RO in reverse and parallel techniques can be hazardous especially for young female gymnasts.     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.     

Tinkering through transition: on ‘doctoring’ as an early-career academic in physical education and sport pedagogy

This article addresses the notion of ‘making it’ as an early-career academic in physical education and sport pedagogy. In it, we draw on the tradition of material semiotics to reflect on our shared journeys from doctoral student to beginning scholar and beyond. By attuning ourselves to the relationality, materiality and precariousness of our experiences, we offer an answer to the question of what it takes to ‘make it’ as an early-career academic by advocating the practice of ‘making do’ or ‘doctoring.’ We develop this argument, first, by describing the narrative methods we used to conduct our inquiry and by explaining the material-semiotic ideas we used to explore the stories it generated. Then, we tell tales of our transitions from higher degree research student to early-career academic, focusing specifically on our ongoing, collective efforts to make do. In our discussion, we explore these narratives and attend to three features of our actions and activities as early-career academics; namely semiotic relationality, material heterogeneity and the precarious processes of heterogeneous engineering through which we sought to make a career in our field. We conclude by encouraging beginning scholars in physical education and sport pedagogy to become sensitive to these aspects of their own agency, and to experiment, experience and tinker together in ways that are attentive, inventive, caring and persistent.     

Do the physical and environment PETTLEP elements predict sport imagery ability?

The present study aimed to examine whether physical and environment elements of PETTLEP imagery relate to the ability to image five types of sport imagery (i.e. skill, strategy, goal, affect and mastery). Two hundred and ninety participants (152 males, 148 females; M_age?=?20.24 years, SD?=?4.36) from various sports completed the Sport Imagery Ability Questionnaire (SIAQ), and a set of items designed specifically for the study to assess how frequently participants incorporate physical (e.g. ‘I make small movements or gestures during the imagery’) and environment (e.g. ‘I image in the real training/competition environment’) elements of PETTLEP imagery. Structural equation modelling tested a hypothesised model in which imagery priming (i.e. the best fitting physical and environment elements) significantly and positively predicted imagery ability of the different imagery types (skill, β?=?0.38; strategy, β?=?0.23; goal, β?=?0.21; affect, β?=?0.25; mastery, β?=?0.22). The model was a good fit to the data: χ² (174)?=?263.87, p?<?.001, CFI?=?.96, TLI?=?.95, SRMR?=?.09, RMSEA?=?0.05 (90% CI?=?0.03–0.05). Findings displayed that priming imagery with physical and environment elements is associated with better skill, strategy, goal, affect and mastery imagery ability. The findings extend models of imagery use by indicating that how athletes images may influence their imagery ability.