Assessing the Current State of Net Neutrality and Exploring Solutions in Creating and Maintaining Open, Available, and Innovative Internet and Broadband Services

This article examines the current state of net neutrality regulation in the United States. Debates surrounding net neutrality are varied and layered. They include legal questions regarding how the internet should be classified under existing statutes, and the level of authority for federal agencies when regulating internet service providers. The Article will provide an extensive background of net neutrality in the United States, discussing the pertinent case law and legislation that shaped the modern Internet regulatory landscape. It will conclude by discussing the current state of the law, focusing on the perspectives of proponents and opponents of the law as it currently stands under the Restoring Internet Freedom Order. Finally, it will analyze examples of measures that opponents of the Restoring Internet Freedom Order are taking to repeal it

Molière's life and a critical study of some of his famous works

Thesis (M.A.)--Boston Universit

What happens when a woman wins an election? Evidence from close races in Brazil

This paper analyzes the effect of the gender of local policymakers on policy outcomes. Analyzing a rich dataset from Brazilian municipalities and using a regression discontinuity design, we find that municipalities ruled by female mayors have better health outcomes, receive more federal discretionary transfers, and have lower corruption. Additionally, male mayors hire more temporary public employees than their female counterparts when they are allowed to run for re-election, and when municipal elections are approaching. These findings suggest that male mayors may promote more political patronage than female mayors and that men and women may respond differently to local election incentives

Regression Driven F--Transform and Application to Smoothing of Financial Time Series

In this paper we propose to extend the definition of fuzzy transform in order to consider an interpolation of models that are richer than the standard fuzzy transform. We focus on polynomial models, linear in particular, although the approach can be easily applied to other classes of models. As an example of application, we consider the smoothing of time series in finance. A comparison with moving averages is performed using NIFTY 50 stock market index. Experimental results show that a regression driven fuzzy transform (RDFT) provides a smoothing approximation of time series, similar to moving average, but with a smaller delay. This is an important feature for finance and other application, where time plays a key role.Comment: IFSA-SCIS 2017, 5 pages, 6 figures, 1 tabl