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Reader, if you can embody these descriptions, you have Ameer Ali before you, and while you gaze on the picture in your imagination and look on the mild and expressive face you may have fancied, you, as I was, would be the last person to think that he was a professed murderer, and one who in the course of his life has committed upwards of seven hundred murders." Set in a British prison in Sagar, India in 1832, and inspired by actual events, Con...

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Features four distinguished scholars in political science who analyze American democracy from a comparative point of view, exploring how the US political system differs from that of thirty other democracies and what those differences ultimately mean for democratic performance.

Macon has been a crossroads of cultures since Native Americans built the massive earthworks that now form the Ocmulgee National Monument. In the 19th century, fortunes rose and fell with the price of cotton for small farmers and businessmen, as well as plantation owners. The Civil War destroyed the plantation economy, but it left Macon's historic treasures largely undisturbed. Though manufacturing replaced plantation slavery, cotton and race r...

Based on the author's thesis (Ph. D.) -- The Johns Hopkins University, 2009.

Explores the fascinating world of Hampshire traction.

Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scie...

As more and more women in the developed world choose to remain childless, father and son Laurie and Matthew Taylor talk to parents, prospective parents and the child-free in an attempt to understand the growing sense in today's society that there is no longer any point in having children.

In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algorithms capable of mastering increasingly complex problems, but learning difficult tasks is often slow or infeasible when RL agents begin with no prior knowledge. The key insight behind "transfer learning" is that generalization may occur not only wi...

Matthew M. Taylor is Assistant Professor of Political Science at the University of S¿Paulo.Winner, 2008 Vitor Nunes Leal Prize by the Brazilian Political Science Association (ABCP)