Accuracy of molecular dynamics simulations depends crucially on the interatomic potential used to generate forces. The gold standard would be first-principles quantum mechanics (QM) calculations, but these become prohibitively expensive at large simulation scales. Machine learning (ML) based potentials aim for faithful emulation QM drastically reduced computational cost. accuracy and robustness...

Jeffrey Sachs is the economics profession’s leading advocate of mega-reform. Whether it is stabilization of hyperinflation in Bolivia, shock therapy to leap from Communism to capitalism in Poland and Russia, or a “Big Push” to end world poverty , Sachs’ recommendation throughout his career has been to do it fast, do it big, do it comprehensively, and do it with lots of Western money. Sachs’ app...

Many economists and policy makers have long favoured price instruments based on the fact that climate chance involves stock pollutants and as such probably exhibits relatively flat marginal benefits. We construct two simple examples that help to clarify the role of uncertainty in the analysis of price or quantity controls of stock pollutants. Our contribution is the simplicity of the model and ...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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This paper presents an application of 5S lean technology to a production facility. Due to increased demand, high product variety, and a push production system, the plant has suffered from excessive wastes, unorganized workstations, and unhealthy work environment. This has translated into increased production cost, frequent delays, and low workers morale. Under such conditions, it has become dif...

Rough data envelopment analysis (RDEA) evaluates the performance of the decision making units (DMUs) under rough uncertainty assumption. In this paper, new discussion regarding RDEA is extended. The RSBM model is proposed by integrating SBM model and rough set theory. The process of reaching solution is presented and this model is applied to efficiency evaluation of the DMUs with uncertain ...

We derive a new set of equations to give successive positions of slowly moving and slowly turning curved shock front in a transonic flow. The equations are in conservation form two of these are kinematical conservation laws. keywords Curved shock propagation, shock dynamics, ray theory, transonic flow.

This paper generalizes Yeh Lam’s shock model for renewal shock arrivals and random threshold. Several interesting statistical measures are explicitly obtained. A few special cases and an optimal replacement problem are also discussed. Keywords— shock model, optimal replacement, random threshold, shocks.

Ss received series of electric shocks to the forearm in which the temporal schedule and the sequence of shock intensities were associated with varying levels of randomness or uncertainty. The Ss were permitted an instrumental response which produced, in advance, information concerning 1 or both of these aspects of the shocks. Such information functioned as a strong positive reinforcement for mo...