A survey of eight successful enrichment programs.

Thesis (Ed.M.)--Boston Universit

Adam Smith Meets an Index of Specialization in International Trade

Development economists agree that increasing export diversification is a concomitant to economic development. An accepted explanation for Africa’s export stagnation is its dependence on monoculture, and on small number of commodities. Recently a large body of literature focuses on the relationship between economic growth and export specialization. However, there does not exist one generally acceptable measure or index for the concept of “Specialization in International Trade”. This paper suggest one such measure for specialization and its theoretical and conceptual framework are developed and applied to Singapore, South Korea, Malaysia, Mexico, Tunisia and Morocco, during the years of their take offs.Trade Specialization Indices; Development Theory; Developing Country Export Compositions; International Trade Theory; Trade in Manufactures; Trade and Transformation.

Probing the structure of entanglement with entanglement moments

We introduce and define a set of functions on pure bipartite states called entanglement moments. Usual entanglement measures tell you if two systems are entangled, while entanglement moments tell you both if and how two systems are entangled. They are defined with respect to a measurement basis in one system (e.g., a measuring device), and output numbers describing how a system (e.g., a qubit) is entangled with that measurement basis. The moments utilize different distance measures on the Hilbert space of the measured system, and can be generalized to any N-dimensional Hilbert space. As an application, they can distinguish between projective and non-projective measurements. As a particular example, we take the Rabi model's eigenstates and calculate the entanglement moments as well as the full distribution of entanglement.Comment: 5 pages, 5 figure

Active Object Localization in Visual Situations

We describe a method for performing active localization of objects in instances of visual situations. A visual situation is an abstract concept---e.g., "a boxing match", "a birthday party", "walking the dog", "waiting for a bus"---whose image instantiations are linked more by their common spatial and semantic structure than by low-level visual similarity. Our system combines given and learned knowledge of the structure of a particular situation, and adapts that knowledge to a new situation instance as it actively searches for objects. More specifically, the system learns a set of probability distributions describing spatial and other relationships among relevant objects. The system uses those distributions to iteratively sample object proposals on a test image, but also continually uses information from those object proposals to adaptively modify the distributions based on what the system has detected. We test our approach's ability to efficiently localize objects, using a situation-specific image dataset created by our group. We compare the results with several baselines and variations on our method, and demonstrate the strong benefit of using situation knowledge and active context-driven localization. Finally, we contrast our method with several other approaches that use context as well as active search for object localization in images.Comment: 14 page