Playing surface and UK professional rugby union injury risk

Artificial rugby union playing surface installation is increasing. This prospective cohort study aimed to examine the effect of playing surface on match injury types within 157 players of two UK professional rugby union clubs playing 209 matches (96 on artificial surfaces and 113 on grass) over three seasons. There was no difference in overall injury risk between the two playing surfaces with injury incidence on artificial 80.2 (CI 69.9–91.7) and on grass 81.9 per 1000 match-hours (CI 72.2–92.5), with an incidence rate ratio (RR) of 0.98 (CI 0.82–1.17). There was a higher rate of concussion (RR 0.52, CI 0.34 – 0.78) and chest injuries on grass (RR 0.26 CI 0.07, 0.95), and a higher rate of thigh haematoma (RR 2.25, CI 1.05–4.82) foot injuries (RR 4.12, CI 1.10, 15.40) and injury to players being tackled (RR 1.46, CI 1.00, 2.15) on artificial. Whilst there was no higher injury risk for matches played on artificial versus natural grass surfaces, the higher incidence of concussion and chest injury on grass, and the higher rate of foot injuries on artificial surfaces may be related to tackle and footwear-to-surface interface factors.     

The long-term athlete development model: physiological evidence and application

Within the UK, the "Long Term Athlete Development" (LTAD) model has been proposed by a variety of national governing bodies to offer a first step to considering the approach to talent development. The model, which is primarily a physiological perspective, presents an advancement of understanding of developing athletic potential alongside biological growth. It focuses on training to optimize performance longitudinally, and considers sensitive developmental periods known as "windows of opportunity". However, it appears that there are a number of problems with this theoretical model that are not necessarily transparent to coaches. Principally, the model is only one-dimensional, there is a lack of empirical evidence upon which the model is based, and interpretations of the model are restricted because the data on which it is based rely on questionable assumptions and erroneous methodologies. Fundamentally, this is a generic model rather than an individualized plan for athletes. It is crucial that the LTAD model is seen as a "work in progress" and the challenge, particularly for paediatric exercise scientists, is to question, test, and revise the model. It is unlikely that this can be accomplished using classical experimental research methodology but this should not deter practitioners from acquiring valid and reliable evidence.     

The Invisible Scholar: Authors of Legal Scholarship in Criminology and Criminal Justice Journals

This study assesses the authorship of legal scholarship within 20 criminology and criminal justice (CCJ) journals from 2005 to 2015, examining trends over time and variation across journals in the prevalence of sole-authorship and the mean number of authors and identifying the most prolific authors of legal scholarship published in CCJ journals. The study thus sheds light on the extent of collaboration among CCJ legal scholars and identifies CCJ legal scholars who have remained largely invisible due to their focus on a marginalized subfield.     

Using word embeddings in Twitter election classification

Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, e.g. sentiment classification. However, the effect of the configuration used to generate the word embeddings on the classification performance has not been studied in the existing literature. In this paper, using a Twitter election classification task that aims to detect election-related tweets, we investigate the impact of the background dataset used to train the embedding models, as well as the parameters of the word embedding training process, namely the context window size, the dimensionality and the number of negative samples, on the attained classification performance. By comparing the classification results of word embedding models that have been trained using different background corpora (e.g. Wikipedia articles and Twitter microposts), we show that the background data should align with the Twitter classification dataset both in data type and time period to achieve significantly better performance compared to baselines such as SVM with TF-IDF. Moreover, by evaluating the results of word embedding models trained using various context window sizes and dimensionalities, we find that large context window and dimension sizes are preferable to improve the performance. However, the number of negative samples parameter does not significantly affect the performance of the CNN classifiers. Our experimental results also show that choosing the correct word embedding model for use with CNN leads to statistically significant improvements over various baselines such as random, SVM with TF-IDF and SVM with word embeddings. Finally, for out-of-vocabulary (OOV) words that are not available in the learned word embedding models, we show that a simple OOV strategy to randomly initialise the OOV words without any prior knowledge is sufficient to attain a good classification performance among the current OOV strategies (e.g. a random initialisation using statistics of the pre-trained word embedding models).     

The Effect of Newspaper Coverage of Influenza on the Rate of Physician Visits for Influenza 2002–2008

The effect that newspapers had on patients visiting physicians for influenza was examined for 2002 to 2008. The basis for this investigation rests on theories of media effects drawn from agenda setting, media hype, and the Social Amplification of Risk Framework. It was hypothesized that controlling for the rate of influenza, a positive relationship exists in which increases and decreases of newspaper attention to influenza precede increases and decreases in the percentage of patients visiting physicians for flu symptoms. The percentage of visits and the percentage of positive flu tests are taken from the Centers for Disease Control's flu report. Media attention was located through the Lexis/Nexis database as words per week in stories having flu in the headline in 32 newspapers. Time series analysis shows that controlling for autoregressive and seasonal effects, and the actual rate of disease present, news attention in the previous week accounts for a statistically significant portion of the increase and decrease in the number of individuals who go to their physician reporting influenza-like symptoms. Reverse causality was examined. It was shown that controlling for autoregressive and seasonal effects, patient visits did not predict news coverage, whereas the rate of the flu in the previous 3 weeks did.     

Setting the Students’ Bearings and Balance in Appraisal

The author, a professor at the University of Toronto, touches briefly on the extensive and rich archival literature that supports the teaching of macroappraisal, but notes that this is not the only educational material she offers her students when teaching appraisal theory. She discusses the usefulness to archivists of literature from the fields of ethnography, organizational knowing, records in history, personal documentary behaviour, memory, and communications, noting that the use of texts from these fields can encourage students to reflect on their own presumptions and to develop a taste for the wide reading and research that must support appraisal.     

Carnosine in health and disease

Abstract

Carnosine was originally discovered in skeletal muscle, where it exists in larger amounts than in other tissues. The majority of research into the physiological roles of carnosine have been conducted on skeletal muscle. Given this and the potential for muscle carnosine content to be increased with supplementation, there is now a large body of research examining the ergogenic effects (or otherwise) of carnosine. More recent research, however, points towards a potential for carnosine to exert a wider range of physiological effects in other tissues, including the brain, heart, pancreas, kidney and cancer cells. Taken together, this is suggestive of a potential for carnosine to have therapeutic benefits in health and disease, although this is by no means without complication. Herein, we will provide a review of the current literature relating to the potential therapeutic effects of carnosine in health and disease.     

A Theoretical Model for Preparing Incarcerated Youth for Careers in an Increasingly Technological World: Computational Logic as a Vehicle for Improving Human Decision-making Skills

Most youth in juvenile delinquent systems end up incarcerated due in part to poor decision-making skills. This study describes a theoretical framework undergirding the relationships across delinquency, learning climate, decision-making, and computational logic. This framework will inform a team of educators, criminologists, and psychologists, and their peers in computer science and mathematics, instructional software design, and content experts as they build and test an innovative instructional model for youth in secure care settings. The goal of the system is to improve human decision-making skills, while preparing youth for further education potentially leading to careers in STEM fields.     

Four requirements for digital case study libraries

In education, case studies have been employed as a major pedagogical means to engage students with realistic materials and practical problems. The usefulness and success of case studies have been documented in literature. In this paper, we move the case study and its technical affordance a step further toward more authentic or realistic learning and toward communities of practice. Drawing on current intellectual achievement in education, developmental psychology and computer-supported collaborative learning, this paper proposes four requirements for interactive case study libraries, focusing on authentic learning, social interaction, resource accumulation, and communities of practice. With a usability engineering case study library as an example, we discuss design concerns derived from these requirements as well as its use in practice.     

Topic variability and criteria in interpretational history teaching

This paper studies the teacher perceived applicability of historical topics for interpretational history teaching and the criteria teachers use to evaluate this applicability. For this study, 15 expert history teachers in the Netherlands striving for interpretational history teaching were purposefully selected. Teachers were asked to mention historical topics using a ranking task technique to rank topics in order of applicability and to elaborate on how the topics were ranked. The results showed a large variation in perceived applicability among topics, both within and between teachers. Eight different topic-applicability criteria were discerned in the teachers’ elaborations: (1) topic knowledge; (2) topic affinity; (3) topic constructedness; (4) topic deconstructability; (5) topic abstractedness; (6) topic sensitivity; (7) topic materials; and (8) topic inclusion in the history curriculum. We found that teachers tended to judge topics as applicable for interpretational history teaching partly depending on the degree of ‘canonised interpretativity’ in lesson materials and the curriculum, and to the degree to which they belonged to ‘cold’ (morally neutral) or ‘hot’ (morally sensitive) history. A theoretical implication of the findings is that interpretational history teaching is topic-dependent. Teachers can be supported to teach history as interpretation by structured pedagogies.