Numbers Never Lie: an Observation on Sports and Analytics by John Healy
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LNCS 7215, Pp
ACoreCalculusforProvenance Umut A. Acar1,AmalAhmed2,JamesCheney3,andRolyPerera1 1 Max Planck Institute for Software Systems umut,rolyp @mpi-sws.org { 2 Indiana} University [email protected] 3 University of Edinburgh [email protected] Abstract. Provenance is an increasing concern due to the revolution in sharing and processing scientific data on the Web and in other computer systems. It is proposed that many computer systems will need to become provenance-aware in order to provide satisfactory accountability, reproducibility,andtrustforscien- tific or other high-value data. To date, there is not a consensus concerning ap- propriate formal models or security properties for provenance. In previous work, we introduced a formal framework for provenance security and proposed formal definitions of properties called disclosure and obfuscation. This paper develops a core calculus for provenance in programming languages. Whereas previous models of provenance have focused on special-purpose languages such as workflows and database queries, we consider a higher-order, functional language with sums, products, and recursive types and functions. We explore the ramifications of using traces based on operational derivations for the purpose of comparing other forms of provenance. We design a rich class of prove- nance views over traces. Finally, we prove relationships among provenance views and develop some solutions to the disclosure and obfuscation problems. 1Introduction Provenance, or meta-information about the origin, history, or derivation of an object, is now recognized as a central challenge in establishing trust and providing security in computer systems, particularly on the Web. Essentially, provenance management in- volves instrumenting a system with detailed monitoring or logging of auditable records that help explain how results depend on inputs or other (sometimes untrustworthy) sources. -
World Series Crossword (Answer
World Series Crossword Den Mothers 12345 P L A T E R O C K T O B E R J D I K R O 6789 10 D C B H U M I D O R I F D 11 12 I K A Z U O B C A O Y 13 14 R E D A Y W I L D C A R D 15 E D L E V I T R A E L T E 16 17 18 C O O R S F I E L D Z D C O E M T F I O G L B D I 19 20 V F K I N G T E A E L 21 H A F S R E 22 23 24 I T R O Y O I S H 25 26 27 28 M C M I I I L X X I I I I P I 29 30 N O I C Y Y O U N G 31 32 33 G N F O R D O R H 34 35 Y O R V I T R H W U P S 36 R N A V A R I T E K L T 37 38 O G A G N E K E A B T C E D 39 40 41 L A S I F M C M X C I I I 42 L E J O S H I U 43 44 45 F L O M A X B H E L T O N M T A L 46 S C H I L L I N G D D EclipseCrossword.com World Series Crossword Den Mothers 4. -
Sabermetrics: the Past, the Present, and the Future
Sabermetrics: The Past, the Present, and the Future Jim Albert February 12, 2010 Abstract This article provides an overview of sabermetrics, the science of learn- ing about baseball through objective evidence. Statistics and baseball have always had a strong kinship, as many famous players are known by their famous statistical accomplishments such as Joe Dimaggio’s 56-game hitting streak and Ted Williams’ .406 batting average in the 1941 baseball season. We give an overview of how one measures performance in batting, pitching, and fielding. In baseball, the traditional measures are batting av- erage, slugging percentage, and on-base percentage, but modern measures such as OPS (on-base percentage plus slugging percentage) are better in predicting the number of runs a team will score in a game. Pitching is a harder aspect of performance to measure, since traditional measures such as winning percentage and earned run average are confounded by the abilities of the pitcher teammates. Modern measures of pitching such as DIPS (defense independent pitching statistics) are helpful in isolating the contributions of a pitcher that do not involve his teammates. It is also challenging to measure the quality of a player’s fielding ability, since the standard measure of fielding, the fielding percentage, is not helpful in understanding the range of a player in moving towards a batted ball. New measures of fielding have been developed that are useful in measuring a player’s fielding range. Major League Baseball is measuring the game in new ways, and sabermetrics is using this new data to find better mea- sures of player performance. -
The 112Th World Series Chicago Cubs Vs. Cleveland Indians Saturday, October 29, 2016 Game 4 - 7:08 P.M
THE 112TH WORLD SERIES CHICAGO CUBS VS. CLEVELAND INDIANS SATURDAY, OCTOBER 29, 2016 GAME 4 - 7:08 P.M. (CT) FIRST PITCH WRIGLEY FIELD, CHICAGO, ILLINOIS 2016 WORLD SERIES RESULTS GAME (DATE RESULT WINNING PITCHER LOSING PITCHER SAVE ATTENDANCE Gm. 1 - Tues., Oct. 25th CLE 6, CHI 0 Kluber Lester — 38,091 Gm. 2 - Wed., Oct. 26th CHI 5, CLE 1 Arrieta Bauer — 38,172 Gm. 3 - Fri., Oct. 28th CLE 1, CHI 0 Miller Edwards Allen 41,703 2016 WORLD SERIES SCHEDULE GAME DAY/DATE SITE FIRST PITCH TV/RADIO 4 Saturday, October 29th Wrigley Field 8:08 p.m. ET/7:08 p.m. CT FOX/ESPN Radio 5 Sunday, October 30th Wrigley Field 8:15 p.m. ET/7:15 p.m. CT FOX/ESPN Radio Monday, October 31st OFF DAY 6* Tuesday, November 1st Progressive Field 8:08 p.m. ET/7:08 p.m. CT FOX/ESPN Radio 7* Wednesday, November 2nd Progressive Field 8:08 p.m. ET/7:08 p.m. CT FOX/ESPN Radio *If Necessary 2016 WORLD SERIES PROBABLE PITCHERS (Regular Season/Postseason) Game 4 at Chicago: John Lackey (11-8, 3.35/0-0, 5.63) vs. Corey Kluber (18-9, 3.14/3-1, 0.74) Game 5 at Chicago: Jon Lester (19-5, 2.44/2-1, 1.69) vs. Trevor Bauer (12-8, 4.26/0-1, 5.00) SERIES AT 2-1 CUBS AT 1-2 This is the 87th time in World Series history that the Fall Classic has • This is the eighth time that the Cubs trail a best-of-seven stood at 2-1 after three games, and it is the 13th time in the last 17 Postseason series, 2-1. -
Girls' Elite 2 0 2 0 - 2 1 S E a S O N by the Numbers
GIRLS' ELITE 2 0 2 0 - 2 1 S E A S O N BY THE NUMBERS COMPARING NORMAL SEASON TO 2020-21 NORMAL 2020-21 SEASON SEASON SEASON LENGTH SEASON LENGTH 6.5 Months; Dec - Jun 6.5 Months, Split Season The 2020-21 Season will be split into two segments running from mid-September through mid-February, taking a break for the IHSA season, and then returning May through mid- June. The season length is virtually the exact same amount of time as previous years. TRAINING PROGRAM TRAINING PROGRAM 25 Weeks; 157 Hours 25 Weeks; 156 Hours The training hours for the 2020-21 season are nearly exact to last season's plan. The training hours do not include 16 additional in-house scrimmage hours on the weekends Sep-Dec. Courtney DeBolt-Slinko returns as our Technical Director. 4 new courts this season. STRENGTH PROGRAM STRENGTH PROGRAM 3 Days/Week; 72 Hours 3 Days/Week; 76 Hours Similar to the Training Time, the 2020-21 schedule will actually allow for a 4 additional hours at Oak Strength in our Sparta Science Strength & Conditioning program. These hours are in addition to the volleyball-specific Training Time. Oak Strength is expanding by 8,800 sq. ft. RECRUITING SUPPORT RECRUITING SUPPORT Full Season Enhanced Full Season In response to the recruiting challenges created by the pandemic, we are ADDING livestreaming/recording of scrimmages and scheduled in-person visits from Lauren, Mikaela or Peter. This is in addition to our normal support services throughout the season. TOURNAMENT DATES TOURNAMENT DATES 24-28 Dates; 10-12 Events TBD Dates; TBD Events We are preparing for 15 Dates/6 Events Dec-Feb. -
Basic Combinatorics
Basic Combinatorics Carl G. Wagner Department of Mathematics The University of Tennessee Knoxville, TN 37996-1300 Contents List of Figures iv List of Tables v 1 The Fibonacci Numbers From a Combinatorial Perspective 1 1.1 A Simple Counting Problem . 1 1.2 A Closed Form Expression for f(n) . 2 1.3 The Method of Generating Functions . 3 1.4 Approximation of f(n) . 4 2 Functions, Sequences, Words, and Distributions 5 2.1 Multisets and sets . 5 2.2 Functions . 6 2.3 Sequences and words . 7 2.4 Distributions . 7 2.5 The cardinality of a set . 8 2.6 The addition and multiplication rules . 9 2.7 Useful counting strategies . 11 2.8 The pigeonhole principle . 13 2.9 Functions with empty domain and/or codomain . 14 3 Subsets with Prescribed Cardinality 17 3.1 The power set of a set . 17 3.2 Binomial coefficients . 17 4 Sequences of Two Sorts of Things with Prescribed Frequency 23 4.1 A special sequence counting problem . 23 4.2 The binomial theorem . 24 4.3 Counting lattice paths in the plane . 26 5 Sequences of Integers with Prescribed Sum 28 5.1 Urn problems with indistinguishable balls . 28 5.2 The family of all compositions of n . 30 5.3 Upper bounds on the terms of sequences with prescribed sum . 31 i CONTENTS 6 Sequences of k Sorts of Things with Prescribed Frequency 33 6.1 Trinomial Coefficients . 33 6.2 The trinomial theorem . 35 6.3 Multinomial coefficients and the multinomial theorem . 37 7 Combinatorics and Probability 39 7.1 The Multinomial Distribution . -
Walpole Public Library DVD List A
Walpole Public Library DVD List [Items purchased to present*] Last updated: 9/17/2021 INDEX Note: List does not reflect items lost or removed from collection A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Nonfiction A A A place in the sun AAL Aaltra AAR Aardvark The best of Bud Abbot and Lou Costello : the Franchise Collection, ABB V.1 vol.1 The best of Bud Abbot and Lou Costello : the Franchise Collection, ABB V.2 vol.2 The best of Bud Abbot and Lou Costello : the Franchise Collection, ABB V.3 vol.3 The best of Bud Abbot and Lou Costello : the Franchise Collection, ABB V.4 vol.4 ABE Aberdeen ABO About a boy ABO About Elly ABO About Schmidt ABO About time ABO Above the rim ABR Abraham Lincoln vampire hunter ABS Absolutely anything ABS Absolutely fabulous : the movie ACC Acceptable risk ACC Accepted ACC Accountant, The ACC SER. Accused : series 1 & 2 1 & 2 ACE Ace in the hole ACE Ace Ventura pet detective ACR Across the universe ACT Act of valor ACT Acts of vengeance ADA Adam's apples ADA Adams chronicles, The ADA Adam ADA Adam’s Rib ADA Adaptation ADA Ad Astra ADJ Adjustment Bureau, The *does not reflect missing materials or those being mended Walpole Public Library DVD List [Items purchased to present*] ADM Admission ADO Adopt a highway ADR Adrift ADU Adult world ADV Adventure of Sherlock Holmes’ smarter brother, The ADV The adventures of Baron Munchausen ADV Adverse AEO Aeon Flux AFF SEAS.1 Affair, The : season 1 AFF SEAS.2 Affair, The : season 2 AFF SEAS.3 Affair, The : season 3 AFF SEAS.4 Affair, The : season 4 AFF SEAS.5 Affair, -
Fracking by the Numbers
Fracking by the Numbers The Damage to Our Water, Land and Climate from a Decade of Dirty Drilling Fracking by the Numbers The Damage to Our Water, Land and Climate from a Decade of Dirty Drilling Written by: Elizabeth Ridlington and Kim Norman Frontier Group Rachel Richardson Environment America Research & Policy Center April 2016 Acknowledgments Environment America Research & Policy Center sincerely thanks Amy Mall, Senior Policy Analyst, Land & Wildlife Program, Natural Resources Defense Council; Courtney Bernhardt, Senior Research Analyst, Environmental Integrity Project; and Professor Anthony Ingraffea of Cornell University for their review of drafts of this document, as well as their insights and suggestions. Frontier Group interns Dana Bradley and Danielle Elefritz provided valuable research assistance. Our appreciation goes to Jeff Inglis for data assistance. Thanks also to Tony Dutzik and Gideon Weissman of Frontier Group for editorial help. We also are grateful to the many state agency staff who answered our numerous questions and requests for data. Many of them are listed by name in the methodology. The authors bear responsibility for any factual errors. The recommendations are those of Environment America Research & Policy Center. The views expressed in this report are those of the authors and do not necessarily reflect the views of our funders or those who provided review. 2016 Environment America Research & Policy Center. Some Rights Reserved. This work is licensed under a Creative Commons Attribution Non-Commercial No Derivatives 3.0 Unported License. To view the terms of this license, visit creativecommons.org/licenses/by-nc-nd/3.0. Environment America Research & Policy Center is a 501(c)(3) organization. -
Ryan King-White Dissertation
ABSTRACT Title of Dissertation: BASEBALL, CITIZENSHIP, AND NATIONAL IDENTITY IN GEORGE W. BUSH’S AMERICA Ryan Edward King‐White, Doctor of Philosophy, 2008 Dissertation directed by: Professor David L. Andrews Department of Kinesiology The four separate, but related, studies within this research project seek to offer a critical understanding for how American national identit(ies), and particular forms of (cultural) citizenship are discursively constructed and performed in and through the sport of baseball. More specifically, this dissertation will utilize and expand upon critical theories of neoliberalism, citizenship, whiteness, and (physical) cultural studies to engage various empirical sites, which help provide the context for everyday life in contemporary America. Each chapter looks at various empirical aspects of the Little League World Series and the fans of the Boston Red Sox (popularly referred to as Red Sox Nation) that have historically privileged particular performances and behaviors often associated with white, American, heterosexual, upper‐middle class, masculine subject‐positions. In the first instance this project also attempts to describe how ‘normalized’ American citizenship is being (re)shaped in and through the sport of baseball. Secondly, I aim to critically evaluate claims made by both Little League Baseball, and the Boston Red Sox organization, in response to (popular) criticisms (Bryant, 20002; Mosher, 2001a, 2001b, 2001c) of regressive activity and behavior historically related to their organizations, that they -
Trustworthy Whole-System Provenance for the Linux Kernel
Trustworthy Whole-System Provenance for the Linux Kernel Adam Bates, Dave (Jing) Tian, Thomas Moyer Kevin R.B. Butler University of Florida MIT Lincoln Laboratory {adammbates,daveti,butler}@ufl.edu [email protected] Abstract is presently of enormous interest in a variety of dis- In a provenance-aware system, mechanisms gather parate communities including scientific data processing, and report metadata that describes the history of each ob- databases, software development, and storage [43, 53]. ject being processed on the system, allowing users to un- Provenance has also been demonstrated to be of great derstand how data objects came to exist in their present value to security by identifying malicious activity in data state. However, while past work has demonstrated the centers [5, 27, 56, 65, 66], improving Mandatory Access usefulness of provenance, less attention has been given Control (MAC) labels [45, 46, 47], and assuring regula- to securing provenance-aware systems. Provenance it- tory compliance [3]. self is a ripe attack vector, and its authenticity and in- Unfortunately, most provenance collection mecha- tegrity must be guaranteed before it can be put to use. nisms in the literature exist as fully-trusted user space We present Linux Provenance Modules (LPM), applications [28, 27, 41, 56]. Even kernel-based prove- the first general framework for the development of nance mechanisms [43, 48] and sketches for trusted provenance-aware systems. We demonstrate that LPM provenance architectures [40, 42] fall short of providing creates a trusted provenance-aware execution environ- a provenance-aware system for malicious environments. ment, collecting complete whole-system provenance The problem of whether or not to trust provenance is fur- while imposing as little as 2.7% performance overhead ther exacerbated in distributed environments, or in lay- on normal system operation. -
The Wavelet Tutorial Second Edition Part I by Robi Polikar
THE WAVELET TUTORIAL SECOND EDITION PART I BY ROBI POLIKAR FUNDAMENTAL CONCEPTS & AN OVERVIEW OF THE WAVELET THEORY Welcome to this introductory tutorial on wavelet transforms. The wavelet transform is a relatively new concept (about 10 years old), but yet there are quite a few articles and books written on them. However, most of these books and articles are written by math people, for the other math people; still most of the math people don't know what the other math people are 1 talking about (a math professor of mine made this confession). In other words, majority of the literature available on wavelet transforms are of little help, if any, to those who are new to this subject (this is my personal opinion). When I first started working on wavelet transforms I have struggled for many hours and days to figure out what was going on in this mysterious world of wavelet transforms, due to the lack of introductory level text(s) in this subject. Therefore, I have decided to write this tutorial for the ones who are new to the topic. I consider myself quite new to the subject too, and I have to confess that I have not figured out all the theoretical details yet. However, as far as the engineering applications are concerned, I think all the theoretical details are not necessarily necessary (!). In this tutorial I will try to give basic principles underlying the wavelet theory. The proofs of the theorems and related equations will not be given in this tutorial due to the simple assumption that the intended readers of this tutorial do not need them at this time. -
INVESTIGATING PENDULUMS University of California, Berkeley Adapted from FOSS “Swingers” Activity
ESCAPE: Exploring Science Collaboration at Pinole-family Elementaries 2/2/201 INVESTIGATING PENDULUMS University of California, Berkeley Adapted from FOSS “Swingers” activity OVERVIEW: This lesson introduces students to variables and controlled experimentation as they study how different features of a pendulum affect how it swings. Students will build and observe a simple pendulum, identify variables that might affect how fast it moves, and conduct controlled experiments to study the effect of specific variables (bob mass, release position and string length) on the number of swings the pendulum makes in 15 seconds. By manipulating one variable and keeping others constant they gain experience with the concept of a variable and in using experiments to understand the relationships between variables. The pendulum is a simple system and is good for introducing experiments as there are several easily manipulated variables and consistent outcomes. The pendulum also introduces the physical principles of gravity and inertia. PURPOSE: In this lesson students will: Use systematic thinking and reasoning to discover how pendulums work. Identify variables. Conduct an experiment Make graphs Use graphs to explore the relationships between two variables and interpret results. Introduce the physical principals of gravity, inertia, energy. BACKGROUND: About Pendulums A pendulum is any object that hangs from a fixed point (also called a pivot) on a string and, when pushed from its resting position, swings freely back and forth. The downward swing of the object is caused by the pull of gravity. The upward swing of the object is due to inertia (the tendency of an object, once in motion, to stay in motion, Newton’s First Law).