BIOMECHANICAL ANALYSIS OF TWO ELITE CANOEISTS

Inter and intrasubject comparisons of the biomechanics of two elite canoeists (S's)were the foci of this study. A sport-specific laboratory test (simulator) of power output and the accompanying motion pattern were compared to on-water performance under controlled and race conditions. The athletes were filmed paddling for several stroke cycles on a C-1 simulator, and on-water in a C-1 racing craft, at 44 strokes perminute and at their normal pace for a 500 meter race. Intra subject comparisons of the movement patterns showed that paddling on the simulator closely resembled on-water technique for both S's. Intersubject comparisons on the water and on the ergometer showed important differences, favoring subject 1 (S I), who attained faster times in competition and higher power scores on the simulation test. These results are inconsistent with the anthropometric and fitness profiles of these two athletes and will be discussed in paper #2

ANTHROPOMETRY AND FITNESS TESTING AS PREDICTORS OF PERFORMANCE IN TWO ELITE CANOEISTS

In the previous article it was evident that sport-specific testing indicated superiority of performance for subject 1 (Sl). However, the battery of anthropometric and general fitness tests currently used by the Canadian Canoeing and Kayak Team Program show superiority for subject (S2). S2 was larger (BMI, 25.9 versus 20.9; WHR,0.87 versus 0.81) with less fat (% BODY FAT 5.5 versus 8.2), as well as superior in two of the three general muscular power tests. The discussion of this paper will center on sport-specific versus non-specific testing in regards to their performance associated predictive power

A METHOD OF MOTION ANALYSIS FOR SELF-PROPELLED AQUATIC CRAFTS

Cimematography/videography has been the method of choice for the evaluation of self-propelled aquatic craft kinematics. However, direct measurements of acceleration of this type of craft has proved to be difficult. At Dalhousie the use of acceleration data in combination with video data has facilitated the analysis of rowing and canoeing kinematics. The aim of this study is to describe the method of motion analysis currently used at Dalhousie's Sport Science Lab. Description includes a custom software program developed to divide acceleration data into individual cycles and a cubic spline to normalize the data. In addition, impulse data was calculated integrating by acceleration data using Simpson's Rule as well as the Trapezoidal Rule. A multiple low pass 2nd order Butterworth digital filter has been used successfully to smooth the acceleration data. Video data has been used to confirm that the software correctly detects these variables

AN ANALYSIS OF SELECTED KINEMATIC VARIABLES IN SCULL ROWING USING MACON AND HATCHET OARS

The Hatchet oar is now used extensively in competitive rowing because it is believed to enhance performance. There has been little research to verify this. To determine possible differences between the scull kinematics using the Hatchet and Macon oar, a 24 year old male, lightweight rower, raced 2000 m on two separate days. An 8 mm video camera and a g.analyst accelerometer collected the data. A custom software program, divided the acceleration data into individual strokes and a cubic spline standardized the stroke length. Video data confirmed that the software correctly detected stroke cycles. The acceleration data was integrated using Simpson's Rule as well as the Trapezoidal Rule. First order derivatives where determined using first and second order finite differences and impulse. Velocity data was smoothed using a multiple low pass 2nd order Butterworth digital filter. Twelve discrete measures of percentage stroke length and the value at local vertices, as well as three measures of impulse where examined using one way ANOVAs. Most of the discrete measures examined were statistically significant (

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types