Basic Needs, Government Debt and Economic Growth

This paper investigates the relationships between basic needs and economic growth where the interactions between output, health, nutrition and education are explicitly simultaneous. We find a unidirectional relationship that improving basic welfare contributes strongly to labour productivity change, but a clear reverse causation only from growth to nutrition. There are substantial differences in the patterns of simultaneous interactions at different income and welfare levels. There are strong self-reinforcing effects of literacy and debt service on poverty, making it difficult for poor countries to rectify their situation. Channelling resources towards improving health, education and nutrition could bring dramatic economic returns.Income, Health, Education, Nutrition, Government debt, Womens’ education

The Demand for Military Expenditure in Developing Countries: Hostility versus Capability

This paper has considers the interpretation of the empirical results of the developing literature on the demand for military spending that specifies a general model with arms race and spillover effects and estimates it on cross-section and panel data. It questions whether it is meaningful to talk of an ‘arms race’ in panel data or cross-section data, and suggests that it may be more appropriate to talk about the relevant variables – aggregate military spending of the ‘Security Web’ (i.e. all neighbours and other security-influencing powers) and the aggregate military spending of ‘Potential Enemies’– as acting as proxies for threat perceptions, which will reflect both hostility and capability.Military Spending, Developing Countries, Demand.

4D Frequency Analysis of Computational Cameras for Depth of Field Extension

Depth of field (DOF), the range of scene depths that appear sharp in a photograph, poses a fundamental tradeoff in photography---wide apertures are important to reduce imaging noise, but they also increase defocus blur. Recent advances in computational imaging modify the acquisition process to extend the DOF through deconvolution. Because deconvolution quality is a tight function of the frequency power spectrum of the defocus kernel, designs with high spectra are desirable. In this paper we study how to design effective extended-DOF systems, and show an upper bound on the maximal power spectrum that can be achieved. We analyze defocus kernels in the 4D light field space and show that in the frequency domain, only a low-dimensional 3D manifold contributes to focus. Thus, to maximize the defocus spectrum, imaging systems should concentrate their limited energy on this manifold. We review several computational imaging systems and show either that they spend energy outside the focal manifold or do not achieve a high spectrum over the DOF. Guided by this analysis we introduce the lattice-focal lens, which concentrates energy at the low-dimensional focal manifold and achieves a higher power spectrum than previous designs. We have built a prototype lattice-focal lens and present extended depth of field results

Search-and-replace editing for personal photo collections

We propose a new system for editing personal photo collections, inspired by search-and-replace editing for text. In our system, local edits specified by the user in a single photo (e.g., using the “clone brush” tool) can be propagated automatically to other photos in the same collection, by matching the edited region across photos. To achieve this, we build on tools from computer vision for image matching. Our experimental results on real photo collections demonstrate the feasibility and potential benefits of our approach.Natural Sciences and Engineering Research Council of Canada Postdoctoral FellowshipMassachusetts Institute of Technology. Undergraduate Research Opportunities ProgramNational Science Foundation (U.S.) (CAREER award 0447561)T-Party ProjectUnited States. National Geospatial-Intelligence Agency (NGA NEGI-1582- 04-0004)United States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant N00014-06-1-0734)Microsoft ResearchAlfred P. Sloan Foundatio

Diffuse reflectance imaging with astronomical applications

Diffuse objects generally tell us little about the surrounding lighting, since the radiance they reflect blurs together incident lighting from many directions. In this paper we discuss how occlusion geometry can help invert diffuse reflectance to recover lighting or surface albedo. Self-occlusion in the scene can be regarded as a form of coding, creating high frequencies that improve the conditioning of diffuse light transport. Our analysis builds on a basic observation that diffuse reflectors with sufficiently detailed geometry can fully resolve the incident lighting. Using a Bayesian framework, we propose a novel reconstruction method based on high-resolution photography, taking advantage of visibility changes near occlusion boundaries. We also explore the limits of single-pixel observations as the diffuse reflector (and potentially the lighting) vary over time. Diffuse reflectance imaging is particularly relevant for astronomy applications, where diffuse reflectors arise naturally but the incident lighting and camera position cannot be controlled. To test our approaches, we first study the feasibility of using the moon as a diffuse reflector to observe the earth as seen from space. Next we present a reconstruction of Mars using historical photometry measurements not previously used for this purpose. As our results suggest, diffuse reflectance imaging expands our notion of what can qualify as a camera.Natural Sciences and Engineering Research Council of Canada (NSERC) (Postdoctoral Fellowship)United States-Israel Binational Science Foundation (Grant 2008155)United States. National Geospatial-Intelligence Agency (NEGI-1582-04-0004)United States. Multidisciplinary University Research Initiative (Grant N00014-06-1-0734

Champ or chump? Challenge and threat states during pressurized competition

Copyright © 2013 Human Kinetics, IncThe present research examined the immediate impact of challenge and threat states on golf performance in both real competition and a laboratory-based task. In Study 1, 199 experienced golfers reported their evaluations of competition demands and personal coping resources before a golf competition. Evaluating the competition as a challenge (i.e., sufficient resources to cope with demands) was associated with superior performance. In Study 2, 60 experienced golfers randomly received challenge or threat manipulation instructions and then performed a competitive golf-putting task. Challenge and threat states were successfully manipulated and the challenge group outperformed the threat group. Furthermore, the challenge group reported less anxiety, more facilitative interpretations of anxiety, less conscious processing, and displayed longer quiet eye durations. However, these variables failed to mediate the group-performance relationship. These studies demonstrate the importance of considering preperformance psychophysiological states when examining the influence of competitive pressure on motor performance