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When a sports performance is at its peak, it is akin to a musical performance in the sense that each player seems to perform their part effortlessly, creating a rhythmic flow of counterparts all moving as one. Rhythm and timing are vital elements in sports like basketball in which syncopated passing and shooting appear to facilitate accuracy. This study tests if shooting baskets “in rhythm,” as measured by the catch-to-release time, reliably enhances shooting accuracy. It then tests if an “in rhythm” timing is commonly detected and agreed upon by observers, and if observer timing ratings are related to shooting accuracy. Experiment 1 tests the shooting accuracy of two amateur basketball players after different delays between catching a pass and shooting the ball. Shots were taken from the three-point line (180 shots). All shots were recorded and analyzed for accuracy as a function of delay time, and the recordings were used to select stimuli varying in timing intervals for observers to view in Experiment 2. In Experiment 2, 24 observers each reviewed 17 video clips of the shots to test visual judgment of shooting-in-rhythm. The delay times ranged from 0.3 to 3.2 seconds, with a goal of having some of the shots taken too fast, some close to in rhythm, and some too slow. Observers rated if each shot occurs too fast, in rhythm slightly fast, in rhythm slightly slow, or too slow. In Experiment 1, shooters exhibited a significant cubic fit with better shooting performance in the middle of the timing distribution (1.2 sec optimal delay) between catching a pass and shooting. In Experiment, 2 observers reliably judged shots to be in rhythm centered at 1.1 ± 0.2 seconds, which matched the delay that leads to optimal performance for the shooters found in Experiment 1. The pattern of findings confirms and validates that there is a common “in rhythm” catch-to-shoot delay time of a little over 1 second that both optimizes shooter accuracy and is reliably recognized by observers.
In order to further compare porcine and human-derived enzymes, a determination of the enzyme effectiveness was done via digestion simulation. The digestion for both the human and porcine-derived enzymes consisted of three steps: oral, gastric, and intestinal. After the digestion, the absorbance for each enzyme class as well as a dilution curve of the formula used was read and recorded. Using the standard dilution curve and the absorbance values for each unknown, the formula and thus enzyme concentration that was lost through the reaction was able to be calculated.
The effectiveness of both the human and porcine enzymes, determined by the percent of formula lost, was 18.2% and 19.7%, respectively, with an error of 0.6% from the spectrophotometer, and an error of about 10% from the scale used for measuring the enzymes. This error was likely due to the small mass required of the enzymes and can be prevented in the future by performing the experiment at a larger scale.
Purpose—Use a framework of genetic knowledge to investigate the association between the genotypes of various genes with phenotypes, specifically the traits of elite athletes, in order to establish a personal opinion on their relevance to athletic performance.
Methods—Assemble and analyze selected published scientific studies on genotype and athletic performance and lastly to formulate a personal opinion on the value of genetic testing of athletes. ACTN3, ACE, MSTN, and apoE were the genes selected for analyses.
Results—Two genes, ACTN3 and ACE, showed a significant relationship of genotype to phenotypic traits related to athletic performance. ApoE did not demonstrate a phenotypic association with athletic performance, however it showed a correlation with injury susceptibility leading to traumatic brain injury (TBI). MSTN did not show a phenotypic association with athletic performance.
Conclusion—When considering the multifactorial nature of athletics, each sport must be investigated individually due to the different individual requirements. ACTN3 and ACE are the most widely studied genes, therefore, considerable data on their relevance to athletic performance was easily obtained and supported a relationship between genotype and athletic performance.