Impact of Heart Rate Intensity on Shooting Accuracy during Games in NCAA Division I Women Basketball Players

Shooting accuracy in basketball is key to winning games. While there are various factors as to why a team either makes or misses their shots, the intensity of play is likely a contributing factor. A player who has played the majority of the game would likely have a higher, more intense heart rate (HR). Depending on the athlete, this could impact shooting accuracy. Examining the relationship between HR intensity and shooting accuracy has not been looked at in a real game setting before. Therefore, we set out to determine the impact heart rate intensity has on shooting accuracy in a game setting. Purpose: The purpose of this study was to determine the impact of heart rate intensity on shooting accuracy in a game setting in NCAA Division I female basketball players. Methods: We examined the team stats for shooting accuracy from overall attempts, three point attempts, and free throws during five games. During games players wore HR monitors that transmitted to a mobile app that displayed their HR in real time. Every time a shot was attempted, we recorded what kind of shot, where on the floor it came from, whether it was made or missed, and the HR zone that the athlete was at when it took place. The HR zones that were compared were 1) 70-80% HR max, 2) 80-90% HR max, and 3) 90-100% HR max. These data were input into a spreadsheet to calculate the average team shooting percentage across these three HR zones for overall shooting, free throws, and 3-pointers. Results: As indicated in the table, the team shooting percentage was highest for all types of shooting when players were at the lowest HR intensity. Shooting accuracy declined at higher HR intensities

Comparison of Heart Rate Intensity in Practice, Conditioning, and Games in NCAA Division I Women Basketball Players

Background: An athlete’s heart rate (HR) is an important variable in quantifying the intensity of exercise. Workouts that increase HR are an important stimulus for training adaptations and conditioning. At other times, workouts that do not overly stress the HR may be desired to allow for recovery. The principle of specificity emphasizes that athletes should train specific to the way they will need to perform in competition. Because of this, monitoring HR during training and competition can be a useful tool. While exercise intensity in endurance sports has been previously investigated, less is known regarding the HR response in team sports, particularly women’s basketball. Purpose: Compare the average HR response to basketball training and competition in: 1) open gym 5 on 5 scrimmage, 2) an actual basketball game against a different opponent, and 3) conditioning session. Methods: We had an NCAA Division I women’s basketball team wear heart rate monitors for open gym scrimmages, actual games, and conditioning practices. For the open gym sessions, the team scrimmaged against each other 5v5 for ~90 minutes and the average HR over 4 open gym sessions was determined. For the actual games against other opponents, the average HR response for the team was averaged over 3 games. The conditioning sessions consisted of repeated, intermittent short sprint efforts over the course of 30-60 minutes, and the average HR over 7 conditioning sessions was calculated. The data that was collected was added to a spreadsheet where we used it to find the team’s average for both the scrimmages, games, and conditioning. Results: During open gym scrimmages and conditioning sessions the women had a higher heart rate average as a whole team compared to the games. The games had the lowest HR out of all three conditions that were collected

Challenges in Demonstrating the Impact of Overconfidence in M&A Activity

Financial Economics,

The Asian red seaweed Grateloupia turuturu (Rhodophyta) invades the Gulf of Maine

We report the invasion of the Gulf of Maine, in the northwest Atlantic Ocean, by the largest red seaweed in the world, the Asian Grateloupia turuturu. First detected in 1994 in Narragansett Bay, Rhode Island, south of Cape Cod, this alga had expanded its range in the following years only over to Long Island and into Long Island Sound. In July 2007 we found Grateloupia in the Cape Cod Canal and as far north (east) as Boston, Massachusetts, establishing its presence in the Gulf of Maine. Grateloupia can be invasive and may be capable of disrupting low intertidal and shallow subtidal seaweeds. The plant\u27s broad physiological tolerances suggest that it will be able to expand possibly as far north as the Bay of Fundy. We predict its continued spread in North America and around the world, noting that its arrival in the major international port of Boston may now launch G. turuturu on to new global shipping corridors

The Financial Status of North Dakota Farmers and Ranchers: January 1, 1985, Survey Results

Agricultural Finance,

The Relationship between Objective and Subjective Markers of Training Stress in NCAA Division I Women Basketball Players

An athlete’s training stress score (TSS) is an objective marker of overall training volume and can be determined by tracking total time spent at specific heart rate (HR) zones. Additionally, an athlete’s power factor (PF) or explosive strength is an important marker of performance and can be measured objectively with power testing equipment. While these measures of training stress and performance are important, a coach with limited resources may not have access to the equipment or expertise to measure these variables. On a subjective level, perceived recovery status (PRS) prior to practice and the rating of perceived exertion (RPE) during a practice can be used to measure stress of training. While the relationship between these objective and subjective markers of training stress have been studied in endurance sports, less descriptive data is available for the these responses in intermittent, team sports. We decided to base our research on women’s basketball athletes due to the lack of studies for this demographic. Purpose: To determine the relationship between PRS and PF, PRS and TSS, and PRS and RPE in NCAA Division I female basketball athletes. Methods: Data was collected over several weeks during both the off-season and competition season in 12 NCAA Division I women’s basketball players. Prior to practices at the end of the week, their PF was measured by performing a 4-jump test on a jump mat. Increased PF values indicate more explosive strength. The players also indicated their subjective rating of recovery on the PRS index before practice with higher values indicating the player felt more recovered. RPE was measured after each practice as a rating of how hard the player felt practice was with higher values indicating a more stressful practice. Finally, their TSS was calculated for the entire week by measuring their heart rates and time spent in specific HR zones. The relationship between PRS-PF, PRS-TSS, and PRS-RPE was then calculated by Pearson correlations. Results: Comparing PRS- PF, there was a weak positive correlation (r = .305) on average for the team, while seven of the twelve players (58%) had at least a moderately positive correlation (r \u3e .4). PRS-TSS displayed a very weak negative correlation (r = -.077). PRS-RPE showed a very weak positive relationship (r = .141). Conclusion: We hypothesized that as the athlete felt more recovered (higher PRS), their explosive strength measured by the jump test would also increase (higher PF). Over half of the players observed could provide an accurate subjective measure of how prepared they were for practice that correlated with their actual explosive strength prior to practice. For these athletes, the PRS might be a useful surrogate to daily power testing. This would allow the coach to adjust practice accordingly without the need for special equipment or additional testing. While examining the other relationships, PRS vs TSS and PRS vs RPE, we did not see a strong relationship in either. This might indicate that quantifying training stress by HR measurement may not be easily replaced by subjective measures

Improve Agricultural Practices through Waterflow Modeling & Visualization

Current farming tools do not provide an easy solution for waterflow modeling; therefore, farmers are not aware of what happens in their fields after rainfall events

A comparison of times series approaches for dendroecological reconstructions of past canopy disturbance events

Time series analysis can identify outliers in tree-ring widths that may not only indicate past disturbances, but may also estimate the subsequent effects of these disturbances on tree growth. Finding a way to isolate these disturbance signals from tree-ring time series could have broad applications in forest ecology and management. Time series outliers may be expressed as pulse, step, or trend interventions, but few dendroecological studies have explored how well these different types of interventions express the response of tree-ring widths to a canopy disturbance resulting in a release event. This study addresses that question by comparing two different time series approaches for detecting release events: a pulse intervention approach and a new combined step and trend (CST) intervention approach. These methods are tested against tree-ring collections with known historical canopy disturbance events: northern red oaks (Quercus rubra) in New York released by the chestnut blight during the early 1920s, eastern hemlocks (Tsuga canadensis) in Pennsylvania released by adjacent selective logging in 1910, and northern red oaks and chestnut oaks (Quercus montana) in West Virginia released through an experimental thinning in 1982. Clusters of CST interventions, but not pulse interventions, were detected for all three collections during and immediately after the known disturbance events, showing that a CST intervention approach consistently reconstructs these release events. In addition, a CST intervention approach isolated canopy disturbance signals from tree-ring widths as disturbance-growth indices. Detrending disturbances from tree-ring widths provides an alternative approach to reconstruct climate in closed-canopy forests; however, just as importantly, disturbance-growth indices created through this method can also reconstruct changes in tree growth rates, biomass, or carbon resulting from a past disturbance event or forest thinning