The medical matters wiki: building a library Web site 2.0

New and innovative information technologies drive the ever-evolving library profession. From clay tablet to parchment scroll to manufactured paper to computer screen pixel, information storage, retrieval, and delivery methods continue to evolve, and each advance irrevocably affects the way libraries, and librarians, work. The Internet has forever altered information and library science, both in theory and practice, but even within this context the progression continues. Though ambiguously defined, Web 2.0 offers a new outlook and new software, presenting librarians with potentially invaluable new tools and methods. This paper discusses the creation, implementation, and maintenance of a Web 2.0 technology, the wiki, as a resource tool for an academic biomedical library.     

Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance

Objective assessment of an athlete’s performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual performance analysis methods. The object of this study was to systematically review the literature on machine and deep learning for sport-specific movement recognition using inertial measurement unit (IMU) and, or computer vision data inputs. A search of multiple databases was undertaken. Included studies must have investigated a sport-specific movement and analysed via machine or deep learning methods for model development. A total of 52 studies met the inclusion and exclusion criteria. Data pre-processing, processing, model development and evaluation methods varied across the studies. Model development for movement recognition were predominantly undertaken using supervised classification approaches. A kernel form of the Support Vector Machine algorithm was used in 53% of IMU and 50% of vision-based studies. Twelve studies used a deep learning method as a form of Convolutional Neural Network algorithm and one study also adopted a Long Short Term Memory architecture in their model. The adaptation of experimental set-up, data pre-processing, and model development methods are best considered in relation to the characteristics of the targeted sports movement(s).     

Match running performance and skill execution improves with age but not the number of disposals in young Australian footballers

This study investigated age-related differences in maturity, physical and functional characteristics and playing performance in youth Australian Football (AF). Young male players (n = 156) were recruited from 12 teams across 6 age groups (U10–U15) of a recreational AF club. All players were tested for body size, maturity and fitness. Player performance was assessed during a match in which disposals (kicks and handballs) and their effectiveness were coded from a video recording and match running performance measured using Global Positioning System. Significant main effects (P < 0.01) for age group were observed for age, years to peak height velocity, body mass, height, 20 m sprint, maximal speed over 20 m, vertical jump, 20 m multistage shuttle run, match distance, high-speed running distance, peak speed, number of effective disposals and percentage of effective disposals. Age-related differences in fitness characteristics (speed, lower body power and endurance) appeared to transfer to match running performance. The frequency in which players disposed of the football did not differ between age groups, however the effectiveness of each disposal (i.e., % effective disposals) improved with age. Match statistics, particularly those that evaluate skill execution outcome (i.e., effectiveness), are useful to assess performance and to track player development over time. Differences between age groups, and probably variability within age groups, are strongly associated with chronological age and maturity.     

Professors' Perspectives on Their Teaching: A New Construct and Developmental Model

Building carefully on the college teaching and adult development literatures, this paper presents a model that describes the perspective of professors at various developmental positions with regard to their work as teachers. The model comprises five, interrelated positions: (a) three stable periods—Egocentrism (teacher-centeredness), Aliocentrism (learner-centeredness), and Systemocentrism (teacher/learner-centeredness); and (b) two transitional periods—one between each of the two potential movements from one stable period to the next. The model integrates the constructs of previous typologies, adds a significant new construct, and arranges the total array of perspectival constructs in a typical developmental sequence.     

On Collection Size and Retrieval Effectiveness

The relationship between collection size and retrieval effectiveness is particularly important in the context of Web search. We investigate it first analytically and then experimentally, using samples and subsets of test collections. Different retrieval systems vary in how the score assigned to an individual document in a sample collection relates to the score it receives in the full collection; we identify four cases.We apply signal detection (SD) theory to retrieval from samples, taking into account the four cases and using a variety of shapes for relevant and irrelevant distributions. We note that the SD model subsumes several earlier hypotheses about the causes of the decreased precision in samples. We also discuss other models which contribute to an understanding of the phenomenon, particularly relating to the effects of discreteness. Different models provide complementary insights.Extensive use is made of test data, some from official submissions to the TREC-6 VLC track and some new, to illustrate the effects and test hypotheses. We empirically confirm predictions, based on SD theory, that P@n should decline when moving to a sample collection and that average precision and R-precision should remain constant. SD theory suggests the use of recall-fallout plots as operating characteristic (OC) curves. We plot OC curves of this type for a real retrieval system and query set and show that curves for sample collections are similar but not identical to the curve for the full collection.     

Delivering distance training to rural health care professionals

This article reports on a project that delivers distance training to rural health care professionals. Traveling to provide training on information-seeking skills to rural health professionals is time consuming and costly. In addition to face-to-face training, the University of South Alabama Biomedical Library's SAMNet project seeks to deliver multimedia training to rural health care professionals. The project uses information technology to package training courses combining PowerPoint slides and video instructions. This article describes the rationale, training module design and development, and the information technology and software used in the project. Multimedia packaged distance training courses provide a practical alternative to on-site training for rural health care professionals. It enables librarians to provide training without traveling long distance, thus saving time and money. Additionally, rural health care professionals may access the modules at a time convenient to them and proceed at a pace suitable to their learning style.     

The Methodology of the 'Views and Visions Project' of Land Use-UK: Practices,issues, decisions and experiences

The Land Use-UK Project was conducted with the support of teachers and students in schools throughout the UK. At the time they acted as surveyors of the landscape and, as well as mapping the land use, students recorded their perceptions of what they had seen together with their views for the future. Referred to now as the 'Views and Visions Project', these collective opinions from mostly whole class groups of students provide a database of 1287 responses. Along with the richness of discovery and meaning which the readings of these narratives of landscape experience provide, there have been many decisions to be made regarding the appropriate style and strategies needed for development of the data and interpretation and analysis of the research. This paper provides a reflection on the methodological decisions taken from the personal perspective of the authors as well as some critical comment on the limitations and possibilities of this essentially qualitative research approach.     

Preserving Content from Your Institutional Repository

Between institutional repositories and hosting journals, many libraries are becoming responsible for scholarly content in new ways. While Portable Document Formats (PDFs) are the most common formats today, the unique, local, serial content could be in a variety of formats. These items might be digitized text, born digital text, audio, video, images, or multimedia. This article discusses formats that will remain accessible through time (PDF/A, txt, xml) so that contents are not locked into proprietary formats. It will also discuss options for backing up items and associated metadata, including simple backups, off-site storage of files, Lots of Copies Keep Stuff Safe (LOCKSS), Private LOCKSS Networks, and Portico. The article offers suggestions for how your library might best preserve local content.