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.     

Meeting Challenges in the Data World: RDAP 2017

The Global Postcards column is pleased to publish two contributions from Joshua Finnell and his colleagues. The first contribution with Brian Cain documents the themes and conversations of the Research Data Access and Preservation Summit (RDAP) in April 2017. The second contribution from Joshua with Stacy Konkiel documents the creation and sustainment of the Library Pipeline, a grassroots library organization. Finally, coeditor Robin Kear provides a personal synopsis of her attendance at the IFLA World Library & Information Congress (WLIC) in Wroclaw Poland in August 2017.

We always welcome contributions. If you would like to send a submission, please contact either of the column's coeditors: Jacqueline Solis, jsolis@email.unc.edu, and Robin Kear, rlk25@pitt.edu.     

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.     

‘Surprise Me!’ The (im)possibilities of agency and creativity within the standards framework of history education

Abstract

In the current culture of regulation in higher education and, in turn, the history discipline, it is timely to problematize discipline standards in relation to student agency and creativity. This article argues that through the inclusion of a critical orientation and engaged pedagogy, historians have the opportunity to bring a more agentic dimension to the disciplinary conversation. Discipline standards privilege that arrogant historical moment in the higher education sector when certain skills development and knowledge creation becomes a hegemonic discourse. As a result, there is less emphasis on creativity, agency, and individual opportunities for the demonstration of the historical imagination at work. We need to ensure that the insights gained from teaching and learning practice and research are not lost in the rush to meet discipline standards through compliance.     

Tennessee Promise: A Response to Organizational Change

Community colleges in Tennessee, either directly or indirectly, experienced unprecedented change as a result of Tennessee Promise. The present study explored how student support service administrators at three community colleges responded to organizational change as a result of the Tennessee Promise legislation. Investigators selected community colleges for the multi-site case study because the legislative impact would be actualized by the preparations made to serve incoming Promise recipients. The delivery of orientation services framed organizational change because the service staff facilitate connections and provide information to incoming students. Challenges like a shifting population, ill-equipped infrastructure, inadequate remediation support, heightened interest for social engagement opportunities, misinformation, and unmet fiscal needs left administrators seeking coherence through the change process. Investigators found community college administrators react to change similarly. Administrators acknowledged change as continuous, created a culture of innovation among stakeholders, and were not afraid to fail as responses to the organizational change phenomenon.