Academic literature on the topic 'Baseballs'

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Journal articles on the topic "Baseballs"

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Chalmers, Peter, Rocco Bassora, Chris Inzerillo, Andrew Beharrie, Anthony Romeo, and Brandon Erickson. "Training with Lighter Baseballs Increases Velocity Without Increasing Injury Risk." Orthopaedic Journal of Sports Medicine 8, no. 7_suppl6 (2020): 2325967120S0034. http://dx.doi.org/10.1177/2325967120s00341.

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Objectives: Pitch velocity has become an increasingly popular metric by which pitchers are graded and compared. Training programs that utilize weighted balls have been effective in increasing velocity but at the cost of increased injury risk. The purpose of this study was to determine if a baseball pitcher-training program utilizing lighter baseballs could increase fastball velocity without increasing injury risk. The author’s hypothesized that the training program with lighter baseballs would increase fastball velocity without causing injuries during the training program to the participants M
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Williams, Joseph, and Rich Edgeman. "Quality Control And Home Runs: An Examination Of Appropriate Metrics For Quality Control." Journal of Applied Business Research (JABR) 7, no. 4 (2011): 112. http://dx.doi.org/10.19030/jabr.v7i4.6213.

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The issue of appropriate quality control metrics is discussed in the context of the production of baseballs. Specifically, Major League Baseball players stroked record numbers of home runs in 1987, generating what is commonly known as the lively ball explanation for the unusual power output. The Commissioners office released a study proving that the 1987 baseball was not unusually lively. However, after examination of the quality control metrics used by MLB; we demonstrate that (1) it is quite possible that baseballs were indeed lively and (2) that acceptance sampling alone does not properly a
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McGrain, Peter, James Van Dyke, and James Mastro. "Coefficients of Restitution of Balls Used in Team Sports for the Visually Impaired." International Journal of Sport Biomechanics 3, no. 1 (1987): 63–68. http://dx.doi.org/10.1123/ijsb.3.1.63.

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This study examined the coefficients of restitution (e) of selected balls used in team sports for the visually impaired: beep baseball and goal ball. Specifically, a basketball was compared to two men's standard goal balls, and a softball was compared to three different types of beep baseballs. The e for all balls was calculated by dropping each ball five times from heights of 6 ft (1.83 m) and 19.25 ft (5.88 m). A Sony reel-to-reel videotape recorder was used to record rebound heights on a background scale for each ball dropped. Reliability tests of the procedures yielded correlation coeffici
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Fleisig, Glenn S., Alek Z. Diffendaffer, Kyle T. Aune, Brett Ivey, and Walter A. Laughlin. "Biomechanical Analysis of Weighted-Ball Exercises for Baseball Pitchers." Sports Health: A Multidisciplinary Approach 9, no. 3 (2016): 210–15. http://dx.doi.org/10.1177/1941738116679816.

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Background: Weighted-ball throwing programs are commonly used in training baseball pitchers to increase ball velocity. The purpose of this study was to compare kinematics and kinetics among weighted-ball exercises with values from standard pitching (ie, pitching standard 5-oz baseballs from a mound). Hypothesis: Ball and arm velocities would be greater with lighter balls and joint kinetics would be greater with heavier balls. Study Design: Controlled laboratory study. Methods: Twenty-five high school and collegiate baseball pitchers experienced with weighted-ball throwing were tested with an a
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Erickson, Brandon J., Thomas R. Atlee, Peter N. Chalmers, et al. "Training With Lighter Baseballs Increases Velocity Without Increasing the Injury Risk." Orthopaedic Journal of Sports Medicine 8, no. 3 (2020): 232596712091050. http://dx.doi.org/10.1177/2325967120910503.

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Background: Pitch velocity has become an increasingly popular metric by which pitchers are graded and compared. Training programs that utilize weighted balls have been effective in increasing velocity but at the cost of an increased injury risk. No studies have evaluated training with lighter baseballs with regard to increasing pitch velocity and the injury risk. Purpose/Hypothesis: The purpose of this study was to determine whether a training program utilizing lighter baseballs could increase fastball velocity without increasing the injury risk to participants. We hypothesized that a training
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Caldwell, Jon-Michael E., Frank J. Alexander, and Christopher S. Ahmad. "Weighted-Ball Velocity Enhancement Programs for Baseball Pitchers: A Systematic Review." Orthopaedic Journal of Sports Medicine 7, no. 2 (2019): 232596711882546. http://dx.doi.org/10.1177/2325967118825469.

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Background: Weighted-implement training utilizing over- or underweight baseballs has increased in popularity at all levels in competitive baseball. However, there is no consensus on the efficacy or safety of these training methods. Hypothesis: This systematic review was intended to answer the following questions: Does weighted-ball training improve pitching velocity? Does weighted-ball training increase the risk of injury? Study Design: Systematic review; Level of evidence, 4. Methods: Searches were conducted with MEDLINE, EMBASE, and the ProQuest Physical Education Index. Articles were includ
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Wen, Bor-Jiunn, Che-Rui Chang, Chun-Wei Lan, and Yi-Chen Zheng. "Magnus-Forces Analysis of Pitched-Baseball Trajectories Using YOLOv3-Tiny Deep Learning Algorithm." Applied Sciences 12, no. 11 (2022): 5540. http://dx.doi.org/10.3390/app12115540.

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This study analyzed the characteristics of pitched baseballs from TV broadcast videos to understand the effects of the Magnus force on a pitched-baseball trajectory using aerodynamic theory. Furthermore, an automatic measurement and analysis system for pitched-baseball trajectories, ball speeds, and spin rates was established, capturing the trajectory of the baseball thrown by the pitcher before the catcher catches it and analyzing its related dynamic parameters. The system consists of two parts: (1) capturing and detecting the pitched baseball in all frames of the video using the YOLOv3-tiny
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Dunham, Paul. "Coincidence-Anticipation Performance of Adolescent Baseball Players and Nonplayers." Perceptual and Motor Skills 68, no. 3_suppl (1989): 1151–56. http://dx.doi.org/10.2466/pms.1989.68.3c.1151.

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10 adolescent baseball players and 10 nonplayers made estimates of baseballs' arrival at the front edge of a home plate. Balls were projected 45 ft. by a pitching machine at speeds of 35, 40, 45, and 50 mph. Subjects made estimates with the dominant and nondominant eye closest to the oncoming ball. Analysis indicated that players were no more accurate than nonplayers but did respond significantly earlier and with consistency. Eye dominance had no effect on performance.
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Cava, Robert J. "Superconductors and baseballs." Nature 364, no. 6435 (1993): 297. http://dx.doi.org/10.1038/364297a0.

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Golding, Jordan, Aaron Johnson, and Andrew T. Sensenig. "Experimental Manipulation of Psychological Momentum in Baseball Pitching: No Evidence for Short-Term Psychological Momentum in Baseball Throw Speeds." Journal of Clinical Sport Psychology 11, no. 2 (2017): 158–66. http://dx.doi.org/10.1123/jcsp.2016-0009.

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Psychological momentum in sports is a series of high or low human performances that seem to defy statistical randomness, and instead is often attributed to a positive feedback system in the athlete’s physiology and psyche. Quantitative approaches have found some evidence of psychological momentum. We measured the throw speeds and accuracy of adult males throwing baseballs while subjecting them to verbal criticism (positive or negative). Our study of short-term momentum suggested evidence of psychological momentum only in top-performing university baseball players, and not in the lower-performi
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Dissertations / Theses on the topic "Baseballs"

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Nicholls, Rochelle Louise. "Mathematical modelling of bat-ball impact in baseball." University of Western Australia. School of Human Movement and Exercise Science, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0016.

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[Formulae and special characters can only be approximated here. Please see the pdf version of the abstract for an accurate reproduction.] Ball-impact injuries in baseball, while relatively rare, have the potential to be catastrophic. These injuries are primarily attributed to impact by the ball after it has been hit, pitched or thrown. As the closest infielder to the hitter, the pitcher is at greatest risk of being struck by the batted ball. This thesis investigated the influence of bat and ball design on ball exit velocity (BEV) and the potential for impact injury to pitchers. Finite elemen
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Bryson, John Andrew. "Impact response of polyurethane." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Thesis/Fall2009/j_bryson_082509.pdf.

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Thesis (M.S. in mechanical engineering)--Washington State University, December 2009.<br>Title from PDF title page (viewed on Feb. 11, 2010). "School of Mechanical and Materials Engineering." Includes bibliographical references (p. 93-95).
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Hesslink, David. "Investigating the coefficient of restitution of major league baseballs." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112581.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 23-24).<br>In the middle of the 2015 Major League Baseball season there was a sudden increase in home run rate. Such a sudden league-wide change is difficult to explain, and many baseball pundits suggested that a "juiced" or altered baseball was the culprit. In this thesis, large scale coefficient of restitution (COR) testing is performed on baseballs from before (2014) and after (2016) the alleged change. No evi
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Nicholson, Michael Eugene. "The effect of overload and traditional pitcher conditioning on the velocity of pitched baseballs." Master's thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-01262010-020057/.

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Hutton, Brian P. "Baseball in the Digital Age: The Role of Online and Mobile Content in Major League Baseball's Media Product Portfolio." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33170/.

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This case study evaluated Major League Baseball's (MLB) media product portfolio to identify how broadcast revenues have evolved over the past decade. This research looked back across baseball's long, dysfunctional history with broadcasters in order to recognize the significance of its ambitious use of online content. While MLB had failed to fully utilize the potential of broadcasting, the league's aggressive online strategy through its Advanced Media (MLBAM) division made it the industry leader in broadcasting live streaming sports video. MLBAM expanded its online streaming video to mobile pho
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Kelman, Jon. "Comparing the revenue and profit effects of winning and having a star player for a Major League Baseball team." Diss., Connect to the thesis, 2006. http://hdl.handle.net/10066/590.

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Willers, Katharine E. "The determinants of attendance of Major League baseball games from 1989 to 1999 and the implications of the 1994 labor strike :." See restrictions on access, 2001. http://www.baseballhalloffame.org/library/abner/apponly.htm.

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Reaves, Joseph Allen. "A history of baseball in Asia : assimilating, rejecting and remaking America's game /." Thesis, Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19470472.

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Chumas, Jill M. "A study of the fan's perceptions of promotions of an independent minor league baseball club." Online version, 1999. http://www.uwstout.edu/lib/thesis/1999/1999chumas.pdf.

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Facciolo, Philip Joseph III. "Salary determination of arbitration and free agent Major League Baseball pitchers 1984--2003 /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.73Mb., 139 p, 2005. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1428205.

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Books on the topic "Baseballs"

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K, Larson Mark, ed. Team baseballs: A comprehensive guide to the identification, authentication, and value of autographed baseballs. Krause Publications, 1992.

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Mitnick, John M. Team baseballs: Artifacts of the game. Artifact Publishing, 2010.

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McFadden, David. Poèmes et autres baseballs. Triptyque, 1999.

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Torre, Dan de la. Pitched from the past: The journey of "The matchless ball". Tradewinds Publishing Group, 1994.

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Balls, bats & more! Mawby Project Group, 2013.

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How to snag major league baseballs: More than 100 tested tricks that really work. Aladdin Paperbacks, 1999.

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Takʻŭ tŭraegon: Yi Hyŏn-se hyumŏn hwantʻaji changpʻyon kŭkhwa. Segyo Kʻŏmyunikʻeisyŏn, 2000.

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ill, Nixon John, ed. Stitches. Ambassador Books, 2003.

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Roy, Ron. The unwilling umpire. Random House, 2004.

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Felicia, Zekauskas, ed. Saved by the ball. Scholastic, 2003.

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Book chapters on the topic "Baseballs"

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Love, Brian J. "“Stuck on You”: Functional Friction Measurements of Doctored Baseballs Coated with “Sticky Substances”." In The Minerals, Metals & Materials Series. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92381-5_127.

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Fleisig, Glenn S., Christopher S. McMichael, and James R. Andrews. "Baseball." In Epidemiology of Injury in Olympic Sports. Wiley-Blackwell, 2009. http://dx.doi.org/10.1002/9781444316872.ch5.

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Mallios, William S. "Baseball." In The Analysis of Sports Forecasting. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-6713-1_6.

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Roth, Travis S., Chris H. Garrett, and Daryl C. Osbahr. "Baseball." In Injury and Health Risk Management in Sports. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-60752-7_72.

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Risby, Bonnie Lou, and Jean Franklin. "Baseball." In Connections. Routledge, 2021. http://dx.doi.org/10.4324/9781003233800-1.

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McDuff, David, Don Thompson, and Michelle Garvin. "Baseball." In The ISSP Manual of Sports Psychiatry. Routledge, 2018. http://dx.doi.org/10.4324/9781315211664-15.

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King, Oswald Harris. "On Baseball." In Rediscovering America. J.B. Metzler, 2001. http://dx.doi.org/10.1007/978-3-476-02834-1_11.

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Lyman,, Stephen, and Glenn S. Fleisig. "Baseball Injuries." In Epidemiology of Pediatric Sports Injuries. KARGER, 2005. http://dx.doi.org/10.1159/000085340.

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Manzenreiter, Wolfram. "Baseball/softball." In Japan Through the Lens of the Tokyo Olympics. Routledge, 2020. http://dx.doi.org/10.4324/9781003033905-15.

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Leimbach, Judy. "Baseball Game." In Grades 2-4 Primarily Logic. Routledge, 2021. http://dx.doi.org/10.4324/9781003237259-41.

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Conference papers on the topic "Baseballs"

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Mortimer, Patrick, John C. Vaccaro, and David M. Rooney. "Wake Flow Patterns Behind Rotating Smooth Spheres and Baseballs." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83357.

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An experimental investigation into the flow field behind baseballs at two different seam orientations as well as a smooth sphere of the same diameter was undertaken at Reynolds numbers of 5 × 104 and 1 × 105. The rotational speed of the three spheres varied from 0 to 2400 rpm, with data collected in increments of 400 rpm which correspond to relative spin rates between 0 and 0.94. Mean velocity profiles, turbulence in intensity profiles, and power spectral density of the signals were taken using hot-wire anemometry. The smooth sphere wake was seen to change in orientation over a range of relati
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Lin, Ching-Hung, Huang-Chia Shih, and Wei-Yuan Wang. "Evaluations of Flight Dynamic Parameters for Smart Baseballs." In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE). IEEE, 2019. http://dx.doi.org/10.1109/gcce46687.2019.9015573.

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Kulas, John, Marlee Wanamaker, Diuky Padron-Marrero, and Hui Xu. "Sample Size Sensitivity in Descriptive Baseball Statistics." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11643.

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This paper presents one element of a larger project that probes for systematicand predictable patterns of variability/volatility in baseball's descriptivestatistics. The larger project standardizes many baseball indices along anevent metric and provides relative estimates of each index’s point of inflectiontoward an empirical asymptote. Specifically these estimates reflect deviationsin sensitivity to “sample size” (e.g., which descriptive statistics are more orless robust across events). The end purpose of this broader investigation is aqualifier to be associated with such statistics: sample s
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Dietrich, Carlos, David Koop, Huy T. Vo, and Claudio T. Silva. "Baseball4D: A tool for baseball game reconstruction & visualization." In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2014. http://dx.doi.org/10.1109/vast.2014.7042478.

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Jaramillo, Paola, Kevin S. Manarky, Ronald S. Adrezin, Robert D. Celmer, John T. Reinard, and Devdas Shetty. "“Sweet Spot” or “Sweet Zone”? Modal Analysis of a Wooden Baseball Bat for Design Optimization." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41924.

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This paper describes modal testing of a wooden baseball bat with the purpose of finding the peak frequencies and vibration modes and their relation to the so-called “sweet spot”. Initial vibration testing was done by performing a tap test along a Louisville Slugger wooden baseball bat. The bat was suspended by elastic rubber bands to approximate free-free boundary conditions. The peak frequencies and bending mode shapes of the baseball bat were obtained. To verify the results, a modal analysis of the baseball bat was performed to simulate the structure’s dynamic behavior. The animated model va
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Theobalt, Christian, Irene Albrecht, Jörg Haber, Marcus Magnor, and Hans-Peter Seidel. "Pitching a baseball." In ACM SIGGRAPH 2004 Papers. ACM Press, 2004. http://dx.doi.org/10.1145/1186562.1015758.

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Higuchi, Hiroshi, and Toshiro Kiura. "Flow-Structure Interaction Problem of a Pitched Baseball Without Spin (Knuckleball)." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30397.

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The “knuckleball” effect is believed to be caused by asymmetric flow separation over the baseball, but little is known about its flow physics. The baseball is gripped with the knuckles in a certain position and is pitched in a way that introduces nearly no rotation, resulting in erratic flight paths which confuse batters. In the experiment described in this paper, the flow near the seams of the baseball is visualized thoroughly and the velocity vector fields near the surface and in the wake are obtained with Digital Particle Image Velocimetry. Depending on its position, the seam is found to tr
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Chou, Ting-Hsuan, and Wei-Ta Chu. "Automatic Baseball Pitch Overlay." In ICMR '21: International Conference on Multimedia Retrieval. ACM, 2021. http://dx.doi.org/10.1145/3460426.3463576.

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Mitiguy, Paul, and Michael Woo. "A Controversial Study of the Aerodynamics of a Baseball." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85140.

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Projectile motion under idealized conditions has been well understood for centuries. However, once aerodynamic forces (drag and lift) are introduced, the motion becomes significantly more difficult to analyze and predict. This paper compares two aerodynamic models on the flight of a baseball — the first by Robert Adair and the second by Greg Sawicki, Mont Hubbards, and William Stronge. Applied to the distance traveled by a baseball, the two models predict substantially different results. The results of the models were further examined through interactive computer simulations using Working Mode
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Bushong, B. A. "Fuzzy Clustering of Baseball Statistics." In NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2007. http://dx.doi.org/10.1109/nafips.2007.383812.

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Reports on the topic "Baseballs"

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Carr, Alan. Baseball 1946 - 1947. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1657090.

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Campshure, Blake, Paul Lancisi, Patrick Drane, and James Sherwood. Hardness of Wood Baseball Bats. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317477.

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Allison, Dean, Ricardo Diaz, and Nathaniel Miller. Generalized Baseball Curves: Three Symmetries and You're In! The MAA Mathematical Sciences Digital Library, 2008. http://dx.doi.org/10.4169/loci002866.

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Archsmith, James, Anthony Heyes, Matthew Neidell, and Bhaven Sampat. The Dynamics of Inattention in the (Baseball) Field. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28922.

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Fuss, Franz Konstantin, Batdelger Doljin, Jeong Kwangyul, and Young-Kwan Kim. Torque-to-spin Efficiency of Pitches Analysed with a Smart Baseball. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317489.

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Chen, Daniel, Tobias Moskowitz, and Kelly Shue. Decision-Making under the Gambler's Fallacy: Evidence from Asylum Judges, Loan Officers, and Baseball Umpires. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22026.

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Kovash, Kenneth, and Steven Levitt. Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15347.

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Lee, Mee-Sik, Moon-Kyung Hong, Soon-Wha Bae, and Mi-Kyung Song. Textile Relics Conservation and Effective Cleaning Methods - Conservation of the Korean Youth Baseball Tournament Championship Flag. Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1724.

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Sweeting, Andrew. Equilibrium Price Dynamics in Perishable Goods Markets: The Case of Secondary Markets for Major League Baseball Tickets. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14505.

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Ahmadi, Majid, Nathan Durst, Jeff Lachman, et al. Nothing Propinks Like Propinquity: Using Machine Learning to Estimate the Effects of Spatial Proximity in the Major League Baseball Draft. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30786.

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