Greening Demand: Energy Consumption and U.S. Climate Policy

The search for greener, less polluting energy supplies has dominated discussions of u.s. climate change strategy, but we often overlook cheaper and faster greenhouse gas emissions reductions achievable through energy efficiency and conservation. In this article, I outline a decade-long greening demand agenda to reduce the amount of energy consumed in the United States. The federal government should aim to reduce U.S. energy consumption by fifteen percent by 2016 and twenty percent by 2020 to achieve needed reductions in greenhouse gas emissions. While the United States has achieved notable efficiency gains since the 1970s, several market failures and other barriers continue to serve as obstacles to energy savings. These include principal-agent divergence, high implicit discount rates used in decision making on efficiency upgrades, and outmoded forms of utility regulation. I demonstrate how a greening demand agenda, centered on price signals, performance standards, informational tools, and changes in utility regulation can be used to overcome these barriers. Many of the challenges are technical and scientific, but law will play a central role in structuring incentives and shaping national markets for efficiency innovations. I conclude with some thoughts on the technical and political feasibility of greening demand

Economic Convergence and Economic Policies

Many of the crucial debates in development economics are encapsulated in the question of economic convergence. Is there a tendency for the poorer countries to grow more rapidly than the richer countries, and thereby to converge in living standards? Or instead, are there tendencies for the "rich to get richer, and the poor to get poorer," so that the gap between rich and poor nations tends to widen over time?economic convergence, economic policy

Metal Parts Generation by Three Dimensional Printing

Mechanical Engineerin

Trends in Regional Inequality in China

Several recent studies have examined the tendency of regions within a nation to exhibit long-term convergence in per capita income levels. Barro and Sala-i-Martin (1991, 1992, 1995) have found a tendency towards convergence among the U.S. states, among Japanese prefectures, and among regions within Western Europe. In this paper we examine the tendency towards convergence among the provinces of China during the period 1952-1993. We find that real income convergence of provinces in China has been a relatively recent phenomenon, emerging strongly only since the reform period began in 1978. During the initial phase of central planning, 1952-1965, there is some evidence for convergence, but it is weak and sensitive to the time period being analyzed. During the cultural revolution, 1965- 1978, there is strong evidence of divergence rather than convergence. We find strong evidence for convergence during the reform period is associated with rural reforms, and is especially strong within the coastal regions where there has been liberalization of international trade and investment flows. However, since 1990 regional incomes have begun to diverge. Such a divergence is entirely explained by the variance between the coastal and interior provinces, rather than increase in variance within each other. Therefore, it seems that China is now on a dual track, with a prosperous and fast growing coastal region and a poor interior growing at a lower rate.

Nonparametric Transient Classification using Adaptive Wavelets

Classifying transients based on multi band light curves is a challenging but crucial problem in the era of GAIA and LSST since the sheer volume of transients will make spectroscopic classification unfeasible. Here we present a nonparametric classifier that uses the transient's light curve measurements to predict its class given training data. It implements two novel components: the first is the use of the BAGIDIS wavelet methodology - a characterization of functional data using hierarchical wavelet coefficients. The second novelty is the introduction of a ranked probability classifier on the wavelet coefficients that handles both the heteroscedasticity of the data in addition to the potential non-representativity of the training set. The ranked classifier is simple and quick to implement while a major advantage of the BAGIDIS wavelets is that they are translation invariant, hence they do not need the light curves to be aligned to extract features. Further, BAGIDIS is nonparametric so it can be used for blind searches for new objects. We demonstrate the effectiveness of our ranked wavelet classifier against the well-tested Supernova Photometric Classification Challenge dataset in which the challenge is to correctly classify light curves as Type Ia or non-Ia supernovae. We train our ranked probability classifier on the spectroscopically-confirmed subsample (which is not representative) and show that it gives good results for all supernova with observed light curve timespans greater than 100 days (roughly 55% of the dataset). For such data, we obtain a Ia efficiency of 80.5% and a purity of 82.4% yielding a highly competitive score of 0.49 whilst implementing a truly "model-blind" approach to supernova classification. Consequently this approach may be particularly suitable for the classification of astronomical transients in the era of large synoptic sky surveys.Comment: 14 pages, 8 figures. Published in MNRA

Communications Biophysics

Contains report on one research project.National Institutes of Health (Grant 2 PO1 MH-04737-06)Joint Services Electronics Programs (U.S. Army, U.S. Navy, and U.S. Air Force) under Contract DA 36-039-AMC-03200(E)National Science Foundation (Grant GK-835)National Aeronautics and Space Administration (Grant NsG-496

Classical Stability of the BTZ Black Hole in Topologically Massive Gravity

We demonstrate the classical stability of the BTZ black hole within the context of topologically massive gravity. The linearized perturbation equations can be solved exactly in this case. By choosing standard boundary conditions appropriate to the stability problem, we demonstrate the absence of modes which grow in time, for all values of the Chern-Simons coupling.Comment: 11 page

Achieving Rapid Growth in the Transition Economies of Central Europe

This paper describes ways that the CEEs can speed their convergence with the EU by emulating the growth strategies of the very fast growing economies. In Section II, we introduce the VFGEs, and discuss some of the sources of their superior growth performance. In Section III, we demonstrate the role of key policy variables in the context of cross-country growth equations. In Section IV, we examine how the CEEs can emulate key aspects of the economic policies of the VFGEs, in order to raise their growth in the coming years.economic transition, Central Eastern Europe, economic growth