Because I love playing my instrument : Young musicians' internalised motivation and self-regulated practising behaviour

Self-regulated learning theory explains how it is not only the amount of time musicians spend practising that affects achievement, but also the nature of the strategies employed. Because practice is self-directed, motivational effects on its efficiency are especially salient. One construct that has received little attention in relation to practising is self-determination theory, which interprets motivation as lying along a continuum of perceived autonomy. This mixed-methods study investigated links between motivational beliefs and self-regulated practising behaviour through a two-phase design. In Phase One, 677 music examination candidates aged 8-19 completed a questionnaire consisting of items addressing practising behaviour and perceived musical competence; in addition, the Self-Regulation Questionnaire (SRQ; Ryan & Connell, 1989) was adapted to explore intrinsic-extrinsic motives for learning an instrument. Factor analysis of the SRQ revealed five dimensions with partial correspondence to earlier research: internal, external, social, shame-related, and exam-related motives. Three practice behaviour factors consistent with self-regulated learning theory emerged: effort management, monitoring, and strategy use. Results of structural equation modelling showed that internal motivation accounted best for variance in these three types of practising behaviour, with a small added effect from competence beliefs and exam-related motivation. Phase Two consisted of observational case studies of four of the questionnaire participants preparing for their subsequent annual examination. Adolescent, intermediate-level musicians were recorded while practising at home; immediately afterwards, they watched the videotape and verbalised any recollected thoughts. The procedure concluded with a semi-structured interview and debriefing. The videotapes were analysed with The Observer Video-Pro and combined with verbal data; emerging themes were then compared with issues arising from the interviews. The observational aspect of the case studies largely confirmed the importance of three cyclical self-regulatory processes emerging from Phase One: (a) effort management and motivational self-regulation, (b) the role of self-monitoring of accuracy, and (c) the use of corrective strategies, such as structured repetition, task simplification, and vocalisation. The mixture of quantitative and qualitative methods used in the study has uncovered a rich body of information that begins to clarify the complex motivational and behavioural nature of young people practising a musical instrument

Quantifying annual variation in catchability for commercial and research fishing

Biomass indices, from commercial catch per unit of effort (CPUE) or random trawl surveys, are commonly used in fisheries stock assessments. Uncertainty in such indices, often ex-pressed as a coefficient of variation (CV), has two components: observation error, and annual variation in catchability. Only the former can be estimated directly. As a result, the CVs used for these indices either ignore the annual-variation component or assume a value for it (often implicitly). Two types of data for New Zealand stocks were examined: 48 sets of residuals and catchability estimates from stock assessments using either CPUE or trawl survey indices; and biomass estimates from 17 time series of trawl surveys with between 4 and 25 species per time series. These data show clear evidence of significant annual variation in catchability. With the trawl survey data, catchability was detectably extreme for many species in about one year in six. The assessment data suggest that this annual variability typically has a CV of about 0.2. For commercial CPUE the variability is slightly less, and a typical total CV (including both components) of 0.15 to 0.2. This is much less than the values of 0.3 to 0.35 that have commonly been assumed in New Zealand. Some estimates of catchability are shown to be implausible

The effect of 14 weeks of vitamin D3 supplementation on antimicrobial peptides and proteins in athletes

Heavy training is associated with increased respiratory infection risk and antimicrobial proteins are important in defence against oral and respiratory tract infections. We examined the effect of 14 weeks of vitamin D3 supplementation (5000 IU/day) on the resting plasma cathelicidin concentration and the salivary secretion rates of secretory immunoglobulin A (SIgA), cathelicidin, lactoferrin and lysozyme in athletes during a winter training period. Blood and saliva were obtained at the start of the study from 39 healthy men who were randomly allocated to vitamin D3 supplement or placebo. Blood samples were also collected at the end of the study; saliva samples were collected after 7 and 14 weeks. Plasma total 25(OH)D concentration increased by 130% in the vitamin D3 group and decreased by 43% in the placebo group (both P=0.001). The percentage change of plasma cathelicidin concentration in the vitamin D3 group was higher than in the placebo group (P=0.025). Only in the vitamin D3 group, the saliva SIgA and cathelicidin secretion rates increased over time (both P=0.03). A daily 5000 IU vitamin D3 supplement has a beneficial effect in up-regulating the expression of SIgA and cathelicidin in athletes during a winter training period which could improve resistance to respiratory infections

Low-Cost Deterministic C++ Exceptions for Embedded Systems

The C++ programming language offers a strong exception mechanism for error handling at the language level, improving code readability, safety, and maintainability. However, current C++ implementations are targeted at general-purpose systems, often sacrificing code size, memory usage, and resource determinism for the sake of performance. This makes C++ exceptions a particularly undesirable choice for embedded applications where code size and resource determinism are often paramount. Consequently, embedded coding guidelines either forbid the use of C++ exceptions, or embedded C++ tool chains omit exception handling altogether. In this paper, we develop a novel implementation of C++ exceptions that eliminates these issues, and enables their use for embedded systems. We combine existing stack unwinding techniques with a new approach to memory management and run-time type information (RTTI). In doing so we create a compliant C++ exception handling implementation, providing bounded runtime and memory usage, while reducing code size requirements by up to 82%, and incurring only a minimal runtime overhead for the common case of no exceptions.Postprin

Hierarchical Strategies for Efficient Fault Recovery on the Reconfigurable PAnDA Device

A novel hierarchical fault-tolerance methodology for reconfigurable devices is presented. A bespoke multi-reconfigurable FPGA architecture, the programmable analogue and digital array (PAnDA), is introduced allowing fine-grained reconfiguration beyond any other FPGA architecture currently in existence. Fault blind circuit repair strategies, which require no specific information of the nature or location of faults, are developed, exploiting architectural features of PAnDA. Two fault recovery techniques, stochastic and deterministic strategies, are proposed and results of each, as well as a comparison of the two, are presented. Both approaches are based on creating algorithms performing fine-grained hierarchical partial reconfiguration on faulty circuits in order to repair them. While the stochastic approach provides insights into feasibility of the method, the deterministic approach aims to generate optimal repair strategies for generic faults induced into a specific circuit. It is shown that both techniques successfully repair the benchmark circuits used after random faults are induced in random circuit locations, and the deterministic strategies are shown to operate efficiently and effectively after optimisation for a specific use case. The methods are shown to be generally applicable to any circuit on PAnDA, and to be straightforwardly customisable for any FPGA fabric providing some regularity and symmetry in its structure

Analysis of lesion localisation at colonoscopy: outcomes from a multi-centre U.K. study

Background: Colonoscopy is currently the gold standard for detection of colorectal lesions, but may be limited in anatomically localising lesions. This audit aimed to determine the accuracy of colonoscopy lesion localisation, any subsequent changes in surgical management and any potentially influencing factors. Methods: Patients undergoing colonoscopy prior to elective curative surgery for colorectal lesion/s were included from 8 registered U.K. sites (2012–2014). Three sets of data were recorded: patient factors (age, sex, BMI, screener vs. symptomatic, previous abdominal surgery); colonoscopy factors (caecal intubation, scope guide used, colonoscopist accreditation) and imaging modality. Lesion localisation was standardised with intra-operative location taken as the gold standard. Changes to surgical management were recorded. Results: 364 cases were included; majority of lesions were colonic, solitary, malignant and in symptomatic referrals. 82% patients had their lesion/s correctly located at colonoscopy. Pre-operative CT visualised lesion/s in only 73% of cases with a reduction in screening patients (64 vs. 77%; p = 0.008). 5.2% incorrectly located cases at colonoscopy underwent altered surgical management, including conversion to open. Univariate analysis found colonoscopy accreditation, scope guide use, incomplete colonoscopy and previous abdominal surgery significantly influenced lesion localisation. On multi-variate analysis, caecal intubation and scope guide use remained significant (HR 0.35, 0.20–0.60 95% CI and 0.47; 0.25–0.88, respectively). Conclusion: Lesion localisation at colonoscopy is incorrect in 18% of cases leading to potentially significant surgical management alterations. As part of accreditation, colonoscopists need lesion localisation training and awareness of when inaccuracies can occur