Technological agglomeration and the emergence of clusters and networks in nanotechnology

Research and development at the nanoscale requires a large degree of integration, from convergence of research disciplines in new fields of enquiry to new linkages between start-ups, regional actors and research facilities. Based on the analysis of two clusters in nanotechnologies (MESA+ (Twente) and other centres in The Netherlands and Minatec in Grenoble in France), the paper discusses the phenomenon of technological agglomeration: co-located scientific and technological fields associated to coordinated technology platforms to some extent actively shaped by institutional entrepreneurs. Such co-location and coordination are probably a pre-requisite for the emergence of strong nanoclusters.     

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.     

Assessing Outcomes: Practical Methods and Evidence

University counseling center clients’ (N = 52) perceptions of precounseling functioning were highly correlated with their actual well‐being scores at intake. The magnitude of change based on perceptions of precounseling functioning to current well‐being was approximately double of what is found from the difference of actual precounseling well‐being to current well‐being scores. Retrospective methods for assessing precounseling functioning are best suited for comparison among clients or counseling processes.     

What Becomes of Undergraduate Dance Majors?

This paper examines the earnings, work patterns, and work histories of individuals employed in the field of dance using data from a survey of graduates of the Five College Dance Department. The respondents to our survey include not only those currently working in dance, but also some who never entered the profession and many others who entered but later left the field. We find that graduate education in dance, age, and prior dance experience are highly correlated with employment in the field of dance. Our findings are similar to those of other studies on artists, in showing that the returns to dance are low and that many of those employed in dance rely on non-dance jobs to supplement their dance earnings.     

A static method for obtaining a calibration factor for SRM bicycle power cranks

Many scientists and coaches are interested in mechanical power produced during cycling, and use Schoberer Rad Me\technik (SRM) bicycle power cranks to obtain this data. However, it has been expensive and difficult to calibrate SRM cranks, causing much of the collected data to be unreliable. We present a static method, derived from first principles, for obtaining a calibration factor for SRM cranks. A known mass and lever arm (chainring of a known diameter) are used to apply a known torque load to the instrument in four positions, and the output frequencies are used to calculate the calibration factor in Hz/Nm. The reproducibility of this method is ±0.01 Hz/Nm, which is acceptable for the application of the instrument, which is measurement of mechanical power application by cyclists at the crank. The method is reliable, inexpensive, and easy to set up, and will allow higher confidence in data collected using SRM power cranks. We recommend calibration of the power meter once every six months because of the measured drift of the calibration factor over time.