Tenure reform and presidential power: The single, six-year term proposal"

During the twentieth century, a series of rapid changes transformed the office of the presidency, affecting not only its raw power and influence upon other political institutions but also, crucially for an office defined as much by image as by constitutional authority, its status in the eyes of the American public and news media. From the turn-of-the-century administration of Theodore Roosevelt to the Lyndon Johnson presidency in the 1960s, George Reedy notes, “commitment to the presidential concept” by politicians, voters and the news media became so pronounced that Americans were "virtually incapable of thinking of the United States in other terms."1 Progressives frequently encouraged the trend toward greater presidential influence as a useful means of bypassing entrenched conservatism in national and state legislatures but many on the political right were disturbed by the expansion of executive power, viewing it as both cause and consequence of liberal interventionism and as a threat to the equilibrium of constitutional government

Developing and validating theory in ergonomics science

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Two-Stage Document Length Normalization for Information Retrieval

The standard approach for term frequency normalization is based only on the document length. However, it does not distinguish the verbosity from the scope, these being the two main factors determining the document length. Because the verbosity and scope have largely different effects on the increase in term frequency, the standard approach can easily suffer from insufficient or excessive penalization depending on the specific type of long document. To overcome these problems, this paper proposes two-stage normalization by performing verbosity and scope normalization separately, and by employing different penalization functions. In verbosity normalization, each document is pre-normalized by dividing the term frequency by the verbosity of the document. In scope normalization, an existing retrieval model is applied in a straightforward manner to the pre-normalized document, finally leading us to formulate our proposed verbosity normalized (VN) retrieval model. Experimental results carried out on standard TREC collections demonstrate that the VN model leads to marginal but statistically significant improvements over standard retrieval models.Comment: 40 pages (to appear in ACM TOIS

On the Smarandache LCM dual function

The main purpose of this paper is using the elementary method to study the calculating problem of a Dirichlet series involving the Smarandache LCM dual function SL*(n) and the mean value distribution property of SL*(n), obtain an exact calculating formula and a sharper asymptotic formula for it