Characteristics of the start in women's World Cup skeleton

This study characterizes key elements of the start in elite female World Cup skeleton athletes. The top 20 female competitors in three World Cup races were videotaped within a calibrated space to allow the following components of the start to be quantified: (1) acceleration (velocity at 15-m mark, time to 15-m mark), (2) capacity (time to load, total number of steps to load), and (3) load (velocity at 45-m mark). A correlation analysis was used to establish the relationship between the variables of interest and overall start time (15- to 65-m mark). Velocity at the 15-m mark accounted for 86% of the variance in overall start time at St. Moritz and 85% at Sigulda. A stepwise regression analysis revealed that approximately 89% of the variation in start time could be explained by velocity at the 15-m mark, time to load, and velocity at the 45-m mark. Of the variables analysed in this study, rapid acceleration to attain a high velocity at the 15-m mark was the most important component of a fast overall start time. The importance of the time to load and velocity at the 45-m mark vary according to the different track characteristics.     

Improving Performance in a Nuclear Cardiology Department

ABSTRACT Improving performance in the medical industry is an area that is ideally suited for the tools advocated by the International Society of Performance Improvement (ISPI). This paper describes an application of the tools that have been developed by Dale Brethower and Geary Rummler, two pillars of the performance improvement industry. It allows the reader to follow a step‐by‐step approach in a project conducted within a cardiology practice. The tools we used are grounded in behavioral systems analysis as well as in applied behavior analysis. The paper describes how these tools help improve the throughput of a department within a medical practice, while taking into account that this department is one part of the entire medical practice, as well as the local and national medical community. Each tool utilized is shown as it fits into the puzzle of solving the problem described by the client.     

An operational definition of learning disabilities (cognitive domain) using WISC full scale IQ and peabody individual achievement test scores

An operational index of discrepancy to assist in identifying learning disabilities (LD) in the cognitive domain was derived using the Full Scale IQ, Wechsler Intelligence Scale for Children (Wechsler, 1949, and relevant subtest scores on the Peabody Individual Achievement Test (PIAT) (Dunn and Markwardt, 1970. The index was applied to all legally identified LD children (N = 60) of a Michigan county who were in the LD program (1% of the total elementary school population of 6000 children). Of the 50 males and 10 females (mean age: 9 years 2 months; mean IQ: 91), the index identified 74% and 30% respectively as may be LD in the cognitive domain. This comprised 67% of the 60 children, or 2/3 of 1 % of the total elementary school population. Of the 67% may be LD children, 93% had discrepancy low PIAT subtest scores in Reading Recognition, 88% in Reading Comprehension, 83% in Spelling, and 52% in Arithmetic. Considerable caution should be exercised when classifying children, especially females, as LD.     

Misleading illustrations

Conclusion The responses and the reasons given for those responses suggest that many of these first year students were not able to read and interpret diagrams in a critical manner and recognise their limitations. Rather, they depend on a qualitative global appreciation of the relationships involved and do not distinguish between the diagram and the model it represents. The overall pattern of responses on the test was consistent with the common errors identified in textbook diagrams. Such diagrams (see those which appear below) are notably qualitative and do not attempt to accurately portray relationships quantitatively. It appears as if such diagrams represent reality for many students. This finding has important implications for science teaching because it is known that the conceptual model held by a learner influences subsequent learning.