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Tricks of the Trade for Middle Distance, Distance & XC Running
//ÀVÃÊvÊÌ iÊ/À>`iÊvÀÊÀVÃÊvÊÌ iÊ/À>`iÊvÀÊ ``iÊ ÃÌ>Vi]ÊÊ``iÊ ÃÌ>Vi]ÊÊ ÃÌ>ViÊ>`ÊÊ ÃÌ>ViÊ>`ÊÊ ÀÃÃ ÕÌÀÞÊ,Õ} ÀÃÃ ÕÌÀÞÊ,Õ} Ê iVÌÊvÊÌ iÊÊ iÃÌÊ,Õ}ÊÀÌViÃÊvÀÊÊ * ÞÃV>Ê `ÕV>ÌÊ }iÃÌÊ>}>âi ÞÊ VÊÃÃ How to Navigate Within this EBook While the different versions of Acrobat Reader do vary slightly, the basic tools are as follows:. ○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ Make Page Print Back to Previous Actual Fit in Fit to Width Larger Page Page View Enlarge Size Page Window of Screen Reduce Drag to the left or right to increase width of pane. TOP OF PAGE Step 1: Click on “Bookmarks” Tab. This pane Click on any title in the Table of will open. Click any article to go directly to that Contents to go to that page. page. ○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ Double click then enter a number to go to that page. Advance 1 Page Go Back 1 Page BOTTOM OF PAGE ○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ Tricks of the Trade for MD, Distance & Cross-Country Tricks of the Trade for Middle Distance, Distance & Cross-Country Running By Dick Moss (All articles are written by the author, except where indicated) Copyright 2004. Published by Physical Education Digest. All rights reserved. ISBN#: 9735528-0-8 Published by Physical Education Digest. Head Office: PO Box 1385, Station B., Sudbury, Ontario, P3E 5K4, Canada Tel/Fax: 705-523-3331 Email: [email protected] www.pedigest.com U.S. Mailing Address Page 3 Box 128, Three Lakes, Wisconsin, 54562, USA ○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ ○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ Tricks of the Trade for MD, Distance & Cross-Country This book is dedicated to Bob Moss, Father, friend and founding partner. -
© 21St Century Math Projects
© 21st Century Math Projects Project Title: Mile Run Standard Focus: Data Analysis, Patterns, Algebra & Time Range: 3-4 Days Functions Supplies: TI Graphing Technology Topics of Focus: - Scatterplots - Creating and Applying Regression Functions - Interpolation & Extrapolation of Data Benchmarks: 4. For a function that models a relationship between two quantities, interpret key Interpreting F-IF features of graphs and tables in terms of the quantities, and sketch graphs showing key Functions features given a verbal description of the relationship. 6. Calculate and interpret the average rate of change of a function (presented Interpreting F-IF symbolically or as a table) over a specified interval. Estimate the rate of change from a Functions graph.★ Building Functions F-BF 1. Write a function that describes a relationship between two quantities.★ Interpreting 6a. Fit a function to the data; use functions fitted to data to solve problems in the Categorical and S-ID context of the data. Use given functions or choose a function suggested by the context. Quantitative Data Emphasize linear and exponential models. Interpreting Categorical and S-ID 6c. Fit a linear function for a scatter plot that suggests a linear association. Quantitative Data Procedures: A.) Students will use Graphing Calculator Technology to make scatterplots using data from the “Mile Run Chart”. (Graphing Calculator Instructions insert included) B.) Students will complete the three parts of the Mile Run Project. © 21st Century Math Projects The Mile Run In 1593, the English Parliament declared that 5,280 feet would equal 1 mile. Ever since, a mile run has become a staple fitness test everywhere -- from militaries to the high school gyms. -
Marathon Championship
CLUB KIWIFRUIT FUND RAISING PICK As reported in Ramblings newsletter, 6th June, 1992. The annual Shallcross kiwifruit pick was once again offered to Tauranga Ramblers to give our funds a much needed boost so that we can subsidise club days, Bar-B-Q’s, Pinto, buses, newsletters and travel to major events. All in all club members receive more than their subscriptions cover, therefore we need full support from all participants for our fund-raising efforts. The club is very appreciative of the chances to earn this money and a special thanks go to Bill and Marge Shallcross for this fruit picking opportunity. It certainly beats selling raffle tickets and gives us the chance to do something other than one’s usual job or studies. It is quite an education especially the way different people see the hairy berries – their shapes and sizes I’ll leave to your imagination. Colin Clifton commented that it was a change from working alone. Teresa Coston was certainly the noisiest and Kristin McLoughlin one of the quietest, but it was good to see everyone turn out. Some brought their spouses, or sons and daughters. Robyn Bint did a great job removing all the kiwifruit stalks. Marge did a great job of keeping the team fed, while Nigel Hines had done an absolutely fantastic job chasing along all members he could find. Over the two days we picked 162 bins compared to 166 last year. Unfortunately we couldn’t quite finish but Ramblers received $1400.00 for the two day’s work. Once again special thanks to Bill, Marge, Debbie, Russell, Rob Shallcross and his in-laws and to Nigel and Sheryl Hines for their organisation. -
Ebook Duel in the Sun: Alberto Salazar, Dick Beardsley, And
Ebook Duel In The Sun: Alberto Salazar, Dick Beardsley, And America's Greatest Marathon Freeware The 1982 Boston Marathon was great theater: Two American runners, Alberto Salazar, a celebrated champion, and Dick Beardsley, a gutsy underdog, going at each other for just under 2 hours and 9 minutes. Neither man broke. The race merely came to a thrilling, shattering end, exacting such an enormous toll that neither man ever ran as well again. Beardsley, the most innocent of men, descended into felony drug addiction, and Salazar, the toughest of men, fell prey to depression. Exquisitely written and rich with human drama, John Brant's Duel in the Sun brilliantly captures the mythic character of the most thrilling American marathon ever run―and the powerful forces of fate that drove these two athletes in the years afterward. Paperback: 256 pages Publisher: Rodale Books (March 6, 2007) Language: English ISBN-10: 1594866287 ISBN-13: 978-1594866289 Product Dimensions: 6.1 x 0.4 inches Shipping Weight: 9.6 ounces (View shipping rates and policies) Average Customer Review: 4.3 out of 5 stars 65 customer reviews Best Sellers Rank: #222,752 in Books (See Top 100 in Books) #80 in Books > Sports & Outdoors > Other Team Sports > Track & Field #344 in Books > Sports & Outdoors > Miscellaneous > History of Sports #370 in Books > Health, Fitness & Dieting > Exercise & Fitness > Running & Jogging In 1982, Alberto Salazar and Dick Beardsley ran the entire 26.2 miles of the Boston Marathon neck and neck, finishing within two seconds of each other. For both, it was the pinnacle of a running career cut short, for Salazar because of a mysterious malaise, and for Beardsley because of a drug addiction that developed after a farm accident. -
General Versus Specific Sentences: Uta Omatic Identification and Application to Analysis of News Summaries
University of Pennsylvania ScholarlyCommons Technical Reports (CIS) Department of Computer & Information Science 1-1-2011 General Versus Specific Sentences: utA omatic Identification and Application to Analysis of News Summaries Annie Louis University of Pennsylvania Ani Nenkova Univesity of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/cis_reports Recommended Citation Annie Louis and Ani Nenkova, "General Versus Specific Sentences: utA omatic Identification and Application to Analysis of News Summaries", . January 2011. University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-11-07. This paper is posted at ScholarlyCommons. https://repository.upenn.edu/cis_reports/951 For more information, please contact [email protected]. General Versus Specific Sentences: utA omatic Identification and Application ot Analysis of News Summaries Abstract In this paper, we introduce the task of identifying general and specific sentences in news articles. Instead of embarking on a new annotation effort to obtain data for the task, we explore the possibility of leveraging existing large corpora annotated with discourse information to train a classifier. We introduce several classes of features that capture lexical and syntactic information, as well as word specificity and polarity. We then use the classifier ot analyze the distribution of general and specific sentences in human and machine summaries of news articles. We discover that while all types of summaries tend to be more specific than the original documents, human abstracts contain a more balanced mix of general and specific sentences but automatic summaries are overwhelmingly specific. Our findings give strong evidence for the need for a new task in (abstractive) summarization: identification and generation of general sentences. -
List of All Olympics Winners in Ethiopia
Location Year Player Sport Medals Event Results London 2012 Tariku BEKELE Athletics Bronze 10000m 27:31.4 London 2012 Tirunesh DIBABA Athletics Gold 10000m 30:20.8 London 2012 Sofia ASSEFA Athletics Bronze 3000m steeplechase 09:09.8 London 2012 Tirunesh DIBABA Athletics Bronze 5000m 15:05.2 London 2012 Meseret DEFAR Athletics Gold 5000m 15:04.3 London 2012 Dejen GEBREMESKEL Athletics Silver 5000m 13:42.0 London 2012 Tiki GELANA Athletics Gold marathon 02:23:07 Beijing 2008 Sileshi SIHINE Athletics Silver 10000m 27:02.77 Beijing 2008 Tirunesh DIBABA Athletics Gold 10000m 29:54.66 Beijing 2008 Kenenisa BEKELE Athletics Gold 10000m 27:01.17 Beijing 2008 Meseret DEFAR Athletics Bronze 5000m 15:44.1 Beijing 2008 Tirunesh DIBABA Athletics Gold 5000m 15:41.4 Beijing 2008 Kenenisa BEKELE Athletics Gold 5000m 12:57.82 Beijing 2008 Tsegay KEBEDE Athletics Bronze marathon 2h10:00 Athens 2004 Sileshi SIHINE Athletics Silver 10000m 27:09.4 Athens 2004 Derartu TULU Athletics Bronze 10000m 30:26.4 Athens 2004 Kenenisa BEKELE Athletics Gold 10000m 27:05.1 Athens 2004 Ejegayehu DIBABA Athletics Silver 10000m 30:25.0 Athens 2004 Tirunesh DIBABA Athletics Bronze 5000m 14:51.8 Athens 2004 Meseret DEFAR Athletics Gold 5000m 14:45.7 Athens 2004 Kenenisa BEKELE Athletics Silver 5000m 13:14.6 Sydney 2000 Gete WAMI Athletics Silver 10000m 30:22.5 Sydney 2000 Haile GEBRSELASSIE Athletics Gold 10000m 27:18.2 Sydney 2000 Derartu TULU Athletics Gold 10000m 30:17.5 Sydney 2000 Assefa MEZGEBU Athletics Bronze 10000m 27:19.7 Sydney 2000 Millon WOLDE Athletics Gold 5000m -
Athlete-Training-Schedule-Template
Arthur Lydiard’s Athletic Training Training Summary for Middle Distance and Distance Running based on the Lydiard Principles Edited and footnotes added by Nobby Hashizume TABLE OF CONTENTS 1) Arthur Lydiard – A Brief Biography 2) Introduction to the Lydiard System 3) Marathon Conditioining 4) Hill Resistance 5) Track Training 6) How to Set-out a Training Schedule 7) Training Considerations 8) The Schedule 9) Race Week/Non-Race Week Schedules 10) Running a Marathon 11) When You Run a Marathon, Be Sure That You… 12) How to Lace Your Shoes 13) Nutritions and More 14) Training Terms 15) Glossary 16) Training Schedule for 10km (sample) 17) Training Schedule (Your Own) 18) Lecture Notes 1 ARTHUR LYDIARD – A BRIEF BIOGRAPHY Arthur Lydiard was born by Eden Park, New Zealand, in 1917. In school, he ran and boxed, but was most interested in rugby football. Because of the Great Depression of the 1920’s, Lydiard dropped out of school at 16 to work in a shoe factoryc. Lydiard figured he was pretty fit until Jack Dolan, president of the Lynndale Athletic Club in Auckland and an old man compared to Lydiard, took him on a five-mile training jog. Lydiard was completely exhausted and was forced to rethink his concept of fitness. He wondered what he would feel like at 47, if at 27 he was exhausted by a five-mile run. Lydiard began training according to the methods of the time, but this only confused him further. At the club library he found a book by F.W. Webster called “The Science of Athletics.” But Lydiard soon decided that the schedules offered by Webster were being too easy on him, so he began experimenting to find out how fit he could get. -
2016 Olympic Games Statistics – Men's 10000M
2016 Olympic Games Statistics – Men’s 10000m by K Ken Nakamura Record to look for in Rio de Janeiro: 1) Last time KEN won gold at 10000m is back in 1968. Can Kamworor, Tanui or Karoki change that? 2) Can Mo Farah become sixth runner to win back to back gold? Summary Page: All time Performance List at the Olympic Games Performance Performer Time Name Nat Pos Venue Year 1 1 27:01.17 Kenenisa Bekele ETH 1 Beijing 2008 2 2 27:02.77 Sileshi Sihine ETH 2 Beijing 2008 3 3 27:04.11 Micah Kogo KEN 3 Beijing 2008 4 4 27:04.11 Moses Masai KEN 4 Beijing 2008 5 27:05.10 Kenenisa Bekele 1 Athinai 2004 6 5 27:05.11 Zersenay Tadese ERI 5 Beijing 2008 7 6 27:06.68 Haile Gebrselassie ETH 6 Beijing 2008 8 27:07.34 Haile Gebrselassie 1 Atlanta 1996 Slowest winning time since 1972: 27:47.54 by Alberto Cova (ITA) in 1984 Margin of Victory Difference Winning time Name Nat Venue Year Max 47.8 29:59.6 Emil Zatopek TCH London 1948 18.68 27:47.54 Alberto Cova ITA Los Angeles 1984 Min 0.09 27:18.20 Haile Gebrselassie ETH Sydney 2000 Second line is largest margin since 1952 Best Marks for Places in the Olympics Pos Time Name Nat Venue Year 1 27:01.17 Kenenisa Bekele ETH Beijing 2008 2 27:02.77 Sileshi Sihine ETH Beijing 2008 3 27:04.11 Micah Kogo KEN Beijing 2008 4 27:04.11 Moses Masai KEN Beijing 2008 5 27:05.11 Zersenay Tadese ERI Beijing 2008 6 27:06.68 Haile Gebrselassie ETH Beijing 2008 7 27:08.25 Martin Mathathi KEN Beijing 2008 Multiple Gold Medalists: Kenenisa Bekele (ETH): 2004, 2008 Haile Gebrselassie (ETH): 1996, 2000 Lasse Viren (FIN): 1972, 1976 Emil -
MEDIA INFO & Fast Facts
MEDIAWELCOME INFO MEDIA INFO Media Info & FAST FacTS Media Schedule of Events .........................................................................................................................................4 Fact Sheet ..................................................................................................................................................................6 Prize Purses ...............................................................................................................................................................8 By the Numbers .........................................................................................................................................................9 Runner Pace Chart ..................................................................................................................................................10 Finishers by Year, Gender ........................................................................................................................................11 Race Day Temperatures ..........................................................................................................................................12 ChevronHoustonMarathon.com 3 MEDIA INFO Media Schedule of Events Race Week Press Headquarters George R. Brown Convention Center (GRB) Hall D, Third Floor 1001 Avenida de las Americas, Downtown Houston, 77010 Phone: 713-853-8407 (during hours of operation only Jan. 11-15) Email: [email protected] Twitter: @HMCPressCenter -
Cross Country DIVISION I MEN’S
Cross Country DIVISION I MEN’S Highlights Wisconsin rolls to fi fth championship: Mohammed Ahmed had the green light, and it left competitors seeing nothing but red. Ahmed left the Badgers’ usual pack-racing plan -- as well as most of the fi eld -- in his dust and led Wisconsin to its fi fth national champion- ship November 21 at the 2011 NCAA championship meet in Terre Haute, Ind. Behind the junior’s fi fth-place fi nish, the Badgers tallied 97 points to claim their fi rst NCAA crown since 2005. Seniors Elliot Krause (17th place) and Ryan Collins (23rd) and junior Reed Connor (36th) joined Ahmed as All-Americans, while junior Maverick Darling crossed the line 46th in the 10-kilometer race. Wisconsin’s victory ended a two-year reign by Oklahoma St., which fi nished second with 139 points. “We’re national champions, you can’t be anything but happy,” Wisconsin head coach Mick Byrne said. “We had that target on our back all along being ranked No. 1 and we knew it was going to come down to a real tough battle, and that’s how it played out.” The Badgers had embraced a team mentality throughout the season, a strategy of running as a group that had kept them undefeated in each of the four meets in which they ran at full strength. They deviated from that plan in the championship race, but the result was precisely the same. Ahmed went to the front early and was 10th as the fi eld passed the 2-kilometer mark. -
Etn1992 20 Oly G
f I 1 10,000 METERS(8! 3) 1 1. KHALID SKAH (Mor) ................... 27:46. 70 2. RICHARD CHELIMO (Ken) ........ 27:47.72 l;:ti11; 3. ADDIS AB EBE (Eth) .................. 28:00.07 il i1:11 ,Ji1 iit 4. SALVATOREANTIBO (Ila) ....... 28:11.39 5. ARTURO BARRIOS (Mex) ........ 28:17.79 1 6. GERMAN SILVA(Mex) .............. 28:20.19 1 7. WILLIAM KOECH (Ken) ............ 28:25.18 ,1~1,sc&;tt1:R~8 . MOSES TANUI (Ken) ................ 28:27.11 .•.•.•· ·········•···(p zbtshed26 time S•a··year.by .Tra!.1••t~:ld·N e~s, Mourttain··~ie~,.<:~)·.········· MARATHON/8/9) .· ... :-:-:-:-::->-· : . :.. ·-·::=:t. :,:< .. ::.- ::/::>:> . 1. HWANG YOUNG -JO (SK) ............ 2:13:23 . ,·.·.· .. ·.. -.·. ·. 2. KOICHI MORISHITA (Jpn) ........... 2:13:45 Volajile,38, No. 20 / <iti$ UStZ0 ,1992. 3. STEPHAN FREIGANG (Ger) ........ 2:14:00 4. TAKEYUKI NAKAYAMA (Jpn) ...... 2:14:02 -Olympic Games- 5. SALVATORE BETTIOL (Ila) ......... 2:14:15 6. SALAH KOKAICH (Mor) ............... 2:14:25 7. JAN HURUK (Pol) ......................... 2:14:32 Barcelona, Spain, July 31-August 3, August 800 METERS(8 /5) 8. HIROMI TANIGUCHI (Jpn) ........... 2:14:42 5-9-These results are simply a quick refer 1. WILLIAM TANUI (Ken) ................. 1 :43.66 ence . Complete Olympic agate (with prelims, 11 HURDLES(813, o.8) splits, series, etc) will appear in the October 2. NIXON Kl PROTICH (Ken) ............ 1 :43.70 o issue of T&FN. 3. JOHNNY GRAY (US) ................... 1 :43.97 1. MARK McKOY (Can) ....................... 13.12 4. Josi;_ LUIZ BARBOSA (Bra) ........ 1 :45.06 2. TONY DEES (US) ............................ 13.24 -MEN- 5. ANDREA BENVENUTI (Ila) .......... 1 :45.23 3. -
Leading Men at National Collegiate Championships
LEADING MEN AT NATIONAL COLLEGIATE CHAMPIONSHIPS 2020 Stillwater, Nov 21, 10k 2019 Terre Haute, Nov 23, 10k 2018 Madison, Nov 17, 10k 2017 Louisville, Nov 18, 10k 2016 Terre Haute, Nov 19, 10k 1 Justyn Knight (Syracuse) CAN Patrick Tiernan (Villanova) AUS 1 2 Matthew Baxter (Nn Ariz) NZL Justyn Knight (Syracuse) CAN 2 3 Tyler Day (Nn Arizona) USA Edward Cheserek (Oregon) KEN 3 4 Gilbert Kigen (Alabama) KEN Futsum Zienasellassie (NA) USA 4 5 Grant Fisher (Stanford) USA Grant Fisher (Stanford) USA 5 6 Dillon Maggard (Utah St) USA MJ Erb (Ole Miss) USA 6 7 Vincent Kiprop (Alabama) KEN Morgan McDonald (Wisc) AUS 7 8 Peter Lomong (Nn Ariz) SSD Edwin Kibichiy (Louisville) KEN 8 9 Lawrence Kipkoech (Camp) KEN Nicolas Montanez (BYU) USA 9 10 Jonathan Green (Gtown) USA Matthew Baxter (Nn Ariz) NZL 10 11 E Roudolff-Levisse (Port) FRA Scott Carpenter (Gtown) USA 11 12 Sean Tobin (Ole Miss) IRL Dillon Maggard (Utah St) USA 12 13 Jack Bruce (Arkansas) AUS Luke Traynor (Tulsa) SCO 13 14 Jeff Thies (Portland) USA Ferdinand Edman (UCLA) NOR 14 15 Andrew Jordan (Iowa St) USA Alex George (Arkansas) ENG 15 2015 Louisville, Nov 21, 10k 2014 Terre Haute, Nov 22, 10k 2013 Terre Haute, Nov 23, 9.9k 2012 Louisville, Nov 17, 10k 2011 Terre Haute, Nov 21, 10k 1 Edward Cheserek (Oregon) KEN Edward Cheserek (Oregon) KEN Edward Cheserek (Oregon) KEN Kennedy Kithuka (Tx Tech) KEN Lawi Lalang (Arizona) KEN 1 2 Patrick Tiernan (Villanova) AUS Eric Jenkins (Oregon) USA Kennedy Kithuka (Tx Tech) KEN Stephen Sambu (Arizona) KEN Chris Derrick (Stanford) USA 2 3 Pierce Murphy