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Of Music And Media: A Producer Study Of Promotional Encoding On Social Media Through The Lenses Of Paratext And Medium Theory, Connor D. Wilcox
Of Music And Media: A Producer Study Of Promotional Encoding On Social Media Through The Lenses Of Paratext And Medium Theory, Connor D. Wilcox
Masters Theses
While music promotion has been important aspect for musicians, bands, and musical organizations for well over a century, the rise of social media in the digital era has profoundly changed the way these promoters perceived of and practice their commercial task of selling music. Paratexts (Gray, 2010a) offer an effective lens for focusing on these promotions while encoding/decoding (Hall, 1980) justifies producer studies to examine and uncover vital aspects of production shape the text and medium theory adds further focus by recentering the medium as being distinctly influential. Existing research on music promotion highlights the uniqueness and evocativeness of the …
Career Termination And Transition Experiences Of Former Collegiate Student-Athletes In Japan, Junya Adachi
Career Termination And Transition Experiences Of Former Collegiate Student-Athletes In Japan, Junya Adachi
Masters Theses
Athletes are unique groups of individuals who make a career out of sports. They face challenges to get into a sport, to stay in it and to adapt to life after their athletic career. The primary objective of this study was to explore the challenges and experiences that Japanese student-athletes encounter when they terminate their athletic career. More specifically, this study examined personal and sport characteristics, emotional responses, psychosocial support, coping strategies and other variables (e.g., gender, athletic identity) that may have impacted the athlete's reactions to career termination. Participants were 76 former Japanese student-athletes (ages 22-38 years; M= 38, …
Extending Time Series Forecasting Methods Using Functional Principal Components Analysis, Isaac Michael Wagner-Muns
Extending Time Series Forecasting Methods Using Functional Principal Components Analysis, Isaac Michael Wagner-Muns
Masters Theses
"Traffic volume forecasts are used by many transportation analysis and management systems to better characterize and react to fluctuating traffic patterns. Most current forecasting methods do not take advantage of the underlying functional characteristics of the time series to make predictions. This paper presents a methodology that uses Functional Principal Components Analysis (FPCA) to create smooth and differentiable daily traffic forecasts. The methodology is validated with a data set of 1,813 days of 15 minute aggregated traffic volume time series. Both the FPCA based forecasts and the associated prediction intervals outperform traditional Seasonal Autoregressive Integrated Moving Average (SARIMA) based methods"--Abstract, …