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La Grange, GA, United States

LaGrange College is a private, four-year liberal arts and science college located in LaGrange, Georgia. Founded in 1831 as a female educational institution, LaGrange is the oldest private college in Georgia. It offers more than 55 academic and pre-professional programs, including graduate degrees in education. Affiliated with the United Methodist Church, LaGrange College has been ranked in the top 10 and as one of 10 “best values” among Southern comprehensive colleges by U.S. News & World Report.The college enrolls approximately 1,000 students and the student-faculty ratio is 11:1. LaGrange draws more than half of its student body from Georgia. However, students from at least one-third of the other states in the U.S. and from abroad help provide a diverse community that includes various religious and ethnic backgrounds.Famous alumni include Dean W. Young , nationally syndicated cartoonist of the “Blondie” comic strip; Dwayne Shattuck , Emmy-award-winning producer of “Mad Men” and “Magic City;” Elizabeth Carlock Harris , former First Lady of Georgia; Terry Kay , best-selling author ; Lee Crowe , special effects animator for Warner Brothers; R. Lee Walburn , writer and editor of “Atlanta Magazine;” and Blake Clarke , television and film actor .The college is located in the town of LaGrange, Georgia, which has a population of 30,000. Nearby are Callaway Gardens, Pine Mountain and Franklin D. Roosevelt's Little White House. The West Point Dam on the Chattahoochee River provides West Point Lake, one of the largest lakes in the region, with waterfronts and a marina within the city limit of LaGrange. Wikipedia.

Kipp K.,Marquette University | Harris C.,LaGrange College
Journal of Sports Sciences | Year: 2015

Abstract: The purpose of this study was to determine the association between weightlifting performance and vertical barbell acceleration patterns. Barbell kinematic time-series data were tracked from 18 snatches from six weightlifters during a regional weightlifting competition. These data were used to calculate vertical barbell accelerations. Time-series data were normalised to 100% of lift phase, defined as the time interval between barbell lift-off and maximum height of the barbell during each snatch lift. The time-series data were then entered into a pattern recognition algorithm that extracted principal patterns and calculated principal pattern scores. Body mass-normalised lift weight, which was used to quantify weightlifting performance, was significantly correlated (r = 0.673; P = 0.033) with a pattern that captured a difference in peak vertical barbell acceleration between the transition and the second pull phase. This correlation indicated that barbell acceleration profiles of higher weight snatch lifts were characterised by smaller decreases in acceleration during the second knee bend and smaller peak acceleration during the second pull phase. Weightlifting coaches and sports scientist should monitor and track vertical acceleration of the barbell, with focus on acceleration profiles that limit (1) deceleration during the transition phase between the first and second pull and (2) peak acceleration during the second pull phase of the snatch. © 2014 Taylor & Francis. Source

Parker R.H.,LaGrange College
Journal of Chemical Education | Year: 2011

An experimental procedure, using an apparatus that is easy to construct, was developed to incorporate a quantitative electrogravimetric determination of the solution nickel content into an undergraduate or advanced high school quantitative analysis laboratory. This procedure produces results comparable to the procedure used for the gravimetric determination of nickel in many quantitative analysis laboratory texts. This experiment may be run alone or may be used in conjunction with the gravimetric determination of nickel using dimethyl-glyoxime to determine the nickel content of a common solution by two methods. The students may then use statistical techniques to compare the two procedures. This system may also be used to study the effects of changes in experimental parameters on the degree of precipitation of the metal via electrodeposition. Source

Suchomel T.J.,East Tennessee State University | Bailey C.A.,East Tennessee State University | Bailey C.A.,LaGrange College
Strength and Conditioning Journal | Year: 2014

Chronic fatigue affects athletes' abilities to maintain force and power capabilities over the course of a season. The ability for sport scientists and coaches to monitor and manage fatigue is beneficial for all sports, especially those with lengthy seasons. Although methods of monitoring and managing fatigue have been suggested for various sports, there is currently limited research examining methods of monitoring fatigue in baseball over the course of a season. To effectively maintain peak performance, potential methods for monitoring and managing fatigue in baseball players need to be discussed. © National Strength and Conditioning Association. © Lippincott Williams & Wilkins. Source

Suchomel T.J.,East Tennessee State University | Sole C.J.,East Tennessee State University | Bailey C.A.,LaGrange College | Grazer J.L.,East Tennessee State University | Beckham G.K.,East Tennessee State University
Journal of Strength and Conditioning Research | Year: 2015

The purpose of this study was to examine the differences in reactive strength index-modified (RSImod), jump height (JH), and time to takeoff (TTT) between 6 U.S. collegiate sport teams. One hundred six male and female Division I collegiate athletes performed unloaded (<1 kg) and loaded (20 kg) countermovement jumps as part of an ongoing athlete monitoring program. Reactive strength index-modified, JH, and TTT values for each team were compared using 1-way analysis of variance. Statistically significant differences in RSImod (p < 0.001), JH (p < 0.001), and TTT (p 0.003) existed between teams during the unloaded jumping condition. Similarly, statistically significant differences in RSImod (p < 0.001), JH (p < 0.001), and TTT (p 0.028) existed between teams during the loaded jumping condition. Men's soccer and baseball produced the greatest RSImod values during both the unloaded and loaded jumping conditions followed by women's volleyball, men's tennis, women's soccer, and women's tennis. The greatest JH during unloaded and loaded jumping conditions was produced by men's baseball followed by men's soccer, women's volleyball, men's tennis, women's soccer, and women's tennis. Men's soccer produced shorter TTT compared with men's baseball (12.7%) and women's soccer (13.3%) during the unloaded and loaded jumping conditions, respectively. Collegiate sport teams exhibit varying reactive strength characteristics during unloaded and loaded jumping conditions. Understanding the differences in RSImod between sports may help direct the creation of training and monitoring programs more effectively for various sports. © 2015 National Strength and Conditioning Association. Source

Hu Z.,North Carolina State University | Smith R.C.,North Carolina State University | Ernstberger J.,LaGrange College
Journal of Intelligent Material Systems and Structures | Year: 2012

Ferroelectric materials, such as lead zirconate titanate, lanthanum-doped lead zirconate titanate, lead manganese niobate, and BaTiO3, provide unique actuator and sensor capabilities for applications including nanopositioning, high-speed valves and fuel injectors, camera focusing and shutter mechanisms, ultrasonic devices for biomedical imaging and treatment, and energy harvesting devices. However, to achieve the full potential of the materials, it is necessary to develop and employ models that quantify the creep, rate-dependent hysteresis, and constitutive nonlinearities that are intrinsic to the materials due to their domain structure. The success of models requires that they be highly efficient to implement since real-time applications can require kilo hertz to mega hertz rates. The calibration of models for specific materials, devices, and applications requires efficient and robust parameter estimation algorithms. Finally, control designs can be facilitated by models that admit efficient and robust approximate inversion. The homogenized energy model is a multiscale, micromechanical framework that quantifies a range of hysteretic phenomena intrinsic to ferroelectric, ferromagnetic, and ferroelastic materials. In this article, we present highly efficient implementation and parameter estimation algorithms for the ferroelectric model. This includes techniques to construct analytic Jacobians and data-driven algorithms to determine initial parameter estimates to facilitate subsequent optimization. The efficiency of these algorithms facilitates material and device characterization and provides the basis for constructing efficient and robust inverse algorithms for model-based control design. The model implementation, calibration, and validation are illustrated using rate-dependent lead zirconate titanate data and single-crystal BaTiO3 data. © The Author(s) 2012. Source

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