6,696 research outputs found

    On the Clock, Best Bet to Draft Cyberdefensive Linemen: Federal Regulation of Sports Betting from a Cybersecurity Perspective

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    On May 14, 2018, Justice Alito delivered the majority opinion for the United States Supreme Court in Murphy v. National Collegiate Athletic Association (NCAA). The Professional and Amateur Protection Act (PASPA), a twenty-six-year-old federal statute, was deemed unconstitutional; thus, this decision allows state legislatures to legalize sports betting within their borders. With many states independently legalizing sports gambling, the regulatory landscape throughout the country is becoming a patchwork of state statutes. Additionally, top tier sporting organizations heavily depend on data analytics to formulate game plan strategy, train efficiently, rehab player injuries, gauge team and player performance, etc. The popularity of sports gambling continues to grow in the United States, and the proliferation of data usage will only expand as teams and players seek a competitive advantage. However, sports teams and athletes are not the only entities seeking an edge, as hackers will attempt to steal private and proprietary data for a significant edge when placing sports bets. It is imperative that leagues, teams, sports betting operators, and legislators must not overlook the cybersecurity component when regulating the industry. This Note argues that federal regulatory oversight is the most favorable approach from a cybersecurity perspective, and states can build on this framework as they see fit. Federal agencies, such as the Federal Trade Commission (FTC), Securities Exchange Commission (SEC), and federal law enforcement agencies, are well-versed in persistent cybersecurity issues and compliance regulations. A central, federal regulatory model is advantageous to the growth and integrity of the blossoming sports gambling industry and the established sports industry

    Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes

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    A temporal adaptive algorithm for the time-integration of the two-dimensional Euler or Navier-Stokes equations is presented. The flow solver involves an upwind flux-split spatial discretization for the convective terms and central differencing for the shear-stress and heat flux terms on an unstructured mesh of triangles. The temporal adaptive algorithm is a time-accurate integration procedure which allows flows with high spatial and temporal gradients to be computed efficiently by advancing each grid cell near its maximum allowable time step. Results indicate that an appreciable computational savings can be achieved for both inviscid and viscous unsteady airfoil problems using unstructured meshes without degrading spatial or temporal accuracy

    Dispensable Statistics

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    It felt like a blind-side bodycheck to read in the The Great Gretzky, Chance, Winter 1991, that, Thus, despite his exceptional talent, despite his leadership on and off the ice, despite what he has meant to the team, Gretzky was not indispensable to the Oilers

    Performance Indices for On-Ice Hockey Statistics

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    Performance Indices for Multivariate Ice Hockey Statistics

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    A Review of the Use of Performance Indices in Ice Hocke

    WHO WON THE 1996 NHL PLUS-MINUS AWARD?

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    Point total, goals plus assists, is an NHL player’s most important individual statistic; it is the best predictor of salary. However, an individual player\u27s goals and assists are only indirectly important to his team because the team objective is to win games and not necessarily to watch individual players run up their point totals. Unfortunately, sometimes opposition teams score easy goals against a team\u27s best goal scorers because these players do not always play well defensively.vAs a result of this conflict, hockey uses a statistic called the plus/minus, (P/M), which purports to measure a player\u27s offensive versus defensive ability

    The Statistical Development of an Index of Office Performance

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    ABSTRACT In many organizations, similar operations are carried out at different locations. This is certainly true of plant operations, and for many corporations, is also true for their business offices. For example, in the AT&T System, the everyday contact with customers is performed in approximately twenty-one hundred different business office locations. These offices all perform very similar work functions. Other organizations such as the utilities and various government agencies also have this characteristic in that many different office locations perform essentially the same work tasks. This situation leads to consideration of formal measurement schemes which can be used to compare the performance of these offices in an objective way. There are actually two types of important comparisons. The first is the comparison of an office with its own earlier performances. The second is the comparison of two different offices. The same index of office performance should not necessarily be used for both types of comparisons. This aspect of the measurement of office performance does not seem to have been discussed by earlier authors and we believe the procedures used to adjust indices for environmental differences are new. It is important to notice that these procedures do not involve expensive work sampling. The problem is discussed with specific emphasis on the statistical models used to develop both intra- and inter- office comparisons. The models described were developed for use in the AT&T System, however, they are described with emphasis on development rather than the implications of their use in the AT&T System
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