In a recent article George Boyer and Robert Smith describe the development of the neoclassical tradition in labor economics. In this paper I reexamine this subject and provide an alternative account of the evolution of thought in the field. I argue Boyer and Smith incorrectly define both the institutional and neoclassical approaches to labor market analysis. The essence of institutional economi...

Nomads’ indigenous knowledge consists of a bright and accurate observations on herbs, plants, animals, weather, soil, pests as well as the classification systems that is compatible with local conditions. According to the researchers and scholars of the field, due to the long-life and long term existence with this kind of knowledge, it enjoys accuracy and capability of prediction. In ...

We classify Dehn surgeries on (p, q, r) pretzel knots resulting in a manifold M(α) having cyclic fundamental group and analyze those leading to a finite fundamental group. The proof uses the theory of cyclic and finite surgeries developed by Culler, Shalen, Boyer, and Zhang. In particular, CullerShalen seminorms play a central role.

This paper examines the validity of the no scalar hair theorem for charged axially symmetric stationary black hole in four dimension for a very wide class of scalar tensor theory, both minimally and nonminimally coupled. The solutions are expressed in Boyer Lindquist form and the scalar field becomes trivial for the existence of a well defined horizon.

In this paper we propose an efficient approach to the compressed string matching problem on Huffman encoded texts, based on the Boyer-Moore strategy. Once a candidate valid shift has been located, a subsequent verification phase checks whether the shift is codeword aligned by taking advantage of the skeleton tree data structure. Our approach leads to algorithms that exhibit a sublinear behavior...

We propose a simple but eecient algorithm for searching all occurrences of a pattern or a class of patterns (length m) in a text (length n) with at most k mismatches. This algorithm relies on the Shift-Add algorithm of Baeza-Yates and Gonnet 6], which involves representing by a bit number the current state of the search and uses the ability of programming languages to handle bit words. State re...

Predictive models are crucial in enabling the personalization of student experiences in Massive Open Online Courses. For successful real-time interventions, these models must be transferable that is, they must perform well on a new course from a different discipline, a different context, or even a different MOOC platform. In this thesis, we first investigate whether predictive models "transfer"...