MTV Networks

This topic is particularly specific to teenagers on popular shows on MTV, VH-1, and even Disney channel. One show I particular that stands out to me than others is MTV’s Teen Wolf. This show is centered around a couple freshman, sophomores, and juniors in high school. These actors and actresses don’t look like your normal…

Disney was Their Open Door Flashback to the ninety’s, when Brittney Spears and Christina Aguilera Starred on The Mickey Mouse Club on Disney channel. For both stars, this was one of their first jobs, opening many doors for the girls. Since Disney, both women have become American Pop Icons. Even though, both stars started from the same place, they both evolved at different times, and took different chances in their musical career. Brittney Jean Spears was born on December 2, 1981 in McComb,…

It comes without surprise that Lara Fabian is an ultimate diva of contemporary music society. The incredible musician has over 1.2 million followers on Facebook and more that 69.7 k fans of Twitter. Over a year ago her songs on YouTube had reached over 312 million views, and all these explain her exemplary popularity. I have chosen to write about Lara Fabian because she is one of those superstars who have made significant strides in transforming the lives of their music fans. Fabian is my…

million copies sold within the first week. Her next awards show was the MTV music awards where she performed. Her performance began with Britney in a black suit ,which she tore off to reveal a nude-colored outfit covered with crystals. This was one of the first occurrences of Britney’s outside of the box ideas. This performance became controversial to everyone who saw because of her young age. After the controversy of the MTV performance was over, everything for Britney calmed down. In…

as Neural Networks. There have been many other cases like ours that have used Random Forest. Nantian Huang, Guobo Lu and Dianguo Xu have been one of the many who have used Random Forest and succeeded. In their paper, “A permutation importance based feature selection method for short term electricity load forecasting using Random Forest,” they talk about how they got load forecast through predictions. Load Forecast, is the planning, operating and scheduling of traditional power networks. The…

causal discovery of networks and the techniques of using Bayesian networks. Furthermore, they discussed the utilisation of this methodology for causal modelling. This source is important at the initial stage of the project as it contributes to the decision-making process at the modelling technique selection stage. However, it is not as important as the other two sources after it was decided not to be used as the modelling method for the system model of this project. Bayesian networks are…

SDN are next generation networks. They provide high flexibility, reliability, and security. The main difference between SDN and the traditional network is separation of control and data plane. In SDN, only the controller has the decision-making capabilities. Whereas switches are responsible for traffic forwarding. The controller and switches can be programmed dynamically or as needed. Applications communicate directly with the SDN controller via the northbound interface. This plane is also…

Collaboration. Number Six: She Hasn’t Recorded an Album in Over 10 Years. Lil Kim has not released a studio album in over 10 years. She has released 3 mixtapes, but has been keeping herself busy making appearances on TV. Number Five: She Won The Wildest MTV Video Music Award Outfit.…

people buying from home make the need for clerks and cashiers fewer causing a decline in employment. For some businesses like Walmart they’ve cornered the market by covering all areas in person and online, taking advantage once again with social networks and appealing to wireless…

As someone who recently came out of the “teenage” demographic, one thing I can strongly relate to is the idea that there are few television shows that are applicable to the above demographic. Networks such as Family Channel, and MTV attempt to appeal to that age range, but often times fall short (in my personal opinion). Michele Byers studies television, specifically Canadian TV. She asks the question, “Why study Canadian TV?” and follows up with one reason that I feel, perfectly explains the…