M.A.S.S.: A Model for Producing Transfer

Transfer is the application in the workplace of the knowledge, skills and attitudes learned in training. With transfer, trainers hope to link training to increased job performance. However, training alone will not produce transfer. To affect job performance as a result of training, trainers must intentionally promote transfer using a variety of strategies based on known principles of human performance technology. The MASS model, presented in this paper, brings together four of these principles. According to the MASS model, trainers who promote transfer (and who thereby become performance technologists) 1) Motivate trainees to learn and use the training material; 2) increase trainees' Awareness of when to use new skills and ideas; 3) enable trainees to master and to apply Skills; and 4) give trainees psychological and physical Support on the job. When performance technologists follow the MASS model, they can expect to produce trainees who apply at work what they have been taught in training. Use of the model is illustrated with two examples.     

Assessing severity in behavior disorders: Empirically based criteria

School psychologists are routinely required to make judgments about the severity of behavior disorders in children. While federal law demands that a child exhibit an emotional problem “to a marked degree,” school psychologists are given few clearcut guidelines for making judgments about the severity of students' adjustment problems. The purpose of this paper is to present a list of empirically based criteria for assessing the severity of behavior disorders in children. To this end, research on major behavior disorders in children of interest to school psychologists is reviewed.     

A survey of school psychologists' perspectives and practices with childhood depression

Despite some controversy, there is an emerging body of knowledge regarding the nature, prevalence, assessment, and treatment of childhood depression. The following study was undertaken to determine how this knowledge compares with the perceptions and practices of school psychologists in two north central states. A need for school psychologists to define the concept of childhood depression is identified. Use of DSM III-R for the diagnosis of childhood depression in the schools and the inclusion of standardized measurement techniques in the assessment process are advocated. Involvement of school psychologists in the treatment process, either directly or indirectly, is also recommended.     

Assessing the severity of behavior disorders: Rankings based on clinical and empirical criteria

School psychologists need to assess the severity of behavior disorders accurately to facilitate comprehensive diagnosis, to provide appropriate intervention, to enlighten research efforts, and to be in compliance with state and federal guidelines. Although clinicians in fields such as mental retardation categorize severity of behavior to make diagnostic and general treatment decisions, school psychologists rarely attempt to assess severity in any systematic or comprehensive way. The primary purpose of this study is to see how 92 practicing school psychologists rank 11 variables in their assessments of SED in school-age children. A secondary purpose is to examine the extent of school psychologists' reliance upon clinical and empirical criteria in assessing the severity of SED. It is concluded that school psychologists agree in their rankings of variables from most to least important and that they do not consider empirical criteria more important than clinically based criteria when assessing SED. Implications for practice are presented.     

New physics searches at the BESIII experiment

The standard model (SM) of particle physics, comprised of the unified electroweak and quantum chromodynamic theories, accurately explains almost all experimental results related to the micro-world, and has made a number of predictions for previously unseen particles, most notably the Higgs scalar boson, that were subsequently discovered. As a result, the SM is currently universally accepted as the theory of the fundamental particles and their interactions. However, in spite of its numerous successes, the SM has a number of apparent shortcomings, including: many free parameters that must be supplied by experimental measurements; no mechanism to produce the dominance of matter over antimatter in the universe; and no explanations for gravity, the dark matter in the universe, neutrino masses, the number of particle generations, etc. Because of these shortcomings, there is considerable incentive to search for evidence for new, non-SM physics phenomena that might provide important clues about what a new, beyond the SM theory (BSM) might look like. Although the center-of-mass energies that BESIII can access are far below the energy frontier, searches for new, BSM physics are an important component of its research program. This report reviews some of the highlights from BESIII’s searches for signs of new, BSM physics by: measuring rates for processes that the SM predicts to be forbidden or very rare; searching for non-SM particles such as dark photons; performing precision tests of SM predictions; and looking for violations of the discrete symmetries C and CP in processes for which the SM expectations are immeasurably small.     

Normal Accidents of Expertise

Charles Perrow used the term “normal accidents” to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production.     

The biomechanical characteristics of high-performance endurance running

The biomechanical profile of high-level endurance runners may represent a useful model that could be used for developing training programmes designed to improve running style. This study, therefore, sought to compare the biomechanical characteristics of high-performance and recreational runners. Kinematic and kinetic measurements were taken during overground running from a cohort of 14 high-performance (8 male) and 14 recreational (8 male) runners, at four speeds ranging from 3.3 to 5.6?m?s^?1. Two-way ANOVA analysis was then used to explore group and speed effects and principal component analysis used to explore the interdependence of the tested variables. The data showed the high-performance runners to have a gait style characterised by an increased vertical velocity of the centre of mass and a flight time that was 11% longer than the recreational group. The high-performance group were also observed to adopt a forefoot strike pattern, to contact the ground with their foot closer to their body and to have a larger ankle moment. Importantly, although observed group differences were mostly independent of speed, the tested variables showed a high degree of interdependence suggesting an underlying unitary phenomenon. This is the first study to compare high-performance and recreational runners across a full range of kinematic and kinetic variables. The results suggest that high-performance runners maintain stride length with a prolonged aerial phase, rather than by landing with a more extended knee. These findings motivate future intervention studies that should investigate whether recreational runners could benefit from instruction to decrease shank inclination at foot contact.     

French DNCG management control versus UEFA Financial Fair Play: a divergent conception of financial regulation objectives

The French Football Federation was the first football governing body to put in place, in 1990, a financial regulation system. It might be expected that UEFA’s Financial Fair Play (FFP) system established in 2010 would be similar to French DNCG (National Direction for Management Control) regulations. However, while FFP is concerned with profitability, DNCG is focused on solvency. Hence, a French club may be loss-making and not compliant with FFP, while at the same time being solvent in accordance with DNCG rules. Our research confirms that most French clubs do not conform to FFP rules. As such, it provides further evidence that DNCG has not prevented poor financial management within French clubs. The coexistence of DNCG and FFP– or any other domestic financial regulation and FFP –may result in disparities between domestic clubs. As a consequence, there should be consistent financial regulation in all European leagues.     

Considerations for the use of functional principal components analysis in sports biomechanics: examples from on-water rowing

The proliferation of new biomechanical technology in laboratory and field settings facilitates the capture of data-sets consisting of complex time-series. An understanding of the appropriate statistical approaches for analysing and interpreting these data-sets is required and the functional data analysis (FDA) family of statistical techniques has emerged in the biomechanical literature. Given the use of FDA is currently in its infancy with biomechanical data, this paper will form the first of a two part series aiming to address practical issues surrounding the application of FDA techniques in biomechanics. This work focuses on functional principal components analysis (fPCA), which is explored using existing literature and sample data from an on-water rowing database. In particular methodological considerations for the implementation of fPCA such as temporal normalisation of data, removal of unwanted forms of variation in a data-set and documented methods for preserving the original temporal properties within a set of curves are explored in detail as a part of this review. Limitations and strengths of the technique are outlined and recommendations are provided to encourage the appropriate use of fPCA within the field of applied sports biomechanics.