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Articles 323101 - 323130 of 5154843
Full-Text Articles in Entire DC Network
[Untitled], Brian Hall
We And I, Linda Barton
Back To Normal, Rachel Clark
[Untitled], Karen Graffeo
Isa, Carla Delane Wood
Landscape, Jennifer Horne
Forty/Love, Carla Delane Wood
[Untitled], Kelly Grider
Dead Ends, Ashley Hulsey
Sins Of Thy Father, Linda Barton
Screaming For Nipples, Angela Lazarus
[Untitled], Hulsey
Must, Hulsey
Apology, Arlene Hampton
At Circe's Farm, Matt Layne
Mama … Show Me The Way, Linda Barton
Emily, Tom Brown
Thurisaz, Carla Delane Wood
[Untitled], Jinny Pearce
Zach, Jenny Duvall
A Madness Of Two Minds, Carol Case
[Untitled], Karen Graffeo
The Barnacle, Emily Grimes
Principles Of Flight, Jennifer Horne
Biological Clock, Robert Mcduff
Astarte 2 (Front Matter), Astarte Staff
Power Play, Arlene Hampton
Astarte 2 (Complete Issue), Astarte Staff
Astarte 2 (Complete Issue), Astarte Staff
Astarte (literary magazine)
No abstract provided.
Data Analysis On Predicting The Top 12 Fantasy Football Players By Position, Alan Abadzic, Jacquelyn Cheun, Milan Patel
Data Analysis On Predicting The Top 12 Fantasy Football Players By Position, Alan Abadzic, Jacquelyn Cheun, Milan Patel
SMU Data Science Review
Fantasy football enthusiasts rely on rankings populated by their platform of choice to draft winning teams and make strategic roster decisions. This study presents a comprehensive analysis of player performance data to forecast the top 12 fantasy points performers per position for the upcoming season. Leveraging machine learning techniques and historical data, our model identifies key performance indicators and trends to inform player evaluations. Insights gleaned from positional trends, breakout candidates, risk assessment, and matchup analysis offer a competitive edge. By addressing limitations, ethical considerations, and avenues for future research, this study contributes to the advancement of fantasy sports analysis …
An Analysis Of Drivers Of The Federal Funds Rate, Stephen Johnson, Neha Dixit, Martin Selzer Ph.D.
An Analysis Of Drivers Of The Federal Funds Rate, Stephen Johnson, Neha Dixit, Martin Selzer Ph.D.
SMU Data Science Review
The Federal Funds Rate (FFR) is a tool used by the Federal Reserve to set monetary policy on borrowing costs for consumers and businesses. The Fed’s primary motivation with the FFR is to control macroeconomic factors such as inflation and unemployment. Over time, policy stances for the Fed have varied in response to events such as the Great Recession, and more recently the COVID-19 pandemic. In light of the Fed’s actions following these events, there is intensified debate over which macroeconomic factors should be prioritized, and what magnitude of change is sufficient to warrant action. Additionally, when action is taken …