Introduction Class of evidence (CoE) is a hierarchical rating system used by EBSJ and most major scientific publications for classifying the overall quality of an individual study. It is a shortcut to identifying what is likely the best (or worst) evidence on a given topic. The “classes” range from I to IV with “CoE I” representing the highest level of evidence, and “CoE IV” representing the lo...

Coe and Helpman (1995) estimated a relationship between TFP and levels of domestic and foreign R&D capital, but couldn't provide compelling evidence of the panel eointegration needed to support their estimation strategy. This paper uses Pedroni's (1997, 1998) tests for panel cointegration in both the Coe-Helpman setup and in a framework with more cross-section heterogeneity. Criticisms of the C...

Bondan Hamlet is a hamlet in Kampung Laut District, Cilacap. One of the community's problems lack clean water and PLN electricity network. In 2020, desalination facility named Sidesi Mas will be built with capacity 240 liters/hour using reverse osmosis principle. The energy source for uses solar power plant (PLTS). Desalination management requires economic analysis, especially determining selli...

AB diblock copolymers were prepared by sequential ring-opening metathesis polymerization of cyclooctenes catalyzed by a Ru-based Grubbs catalyst. The relatively slow polymerization of cis-3-phenylcyclooct-1-ene (3PC) or cis-cyclooct-2-en-1-yl acetate (3AC) was first carried out and then followed by the faster polymerization of unsubstituted cis-cyclooctene (COE) from the active Ru-alkylidene ch...

We introduce a coe cient update procedure into existing batch and online dictionary learning algorithms. We rst propose an algorithm which is a coe cient updated version of the Method of Optimal Directions (MOD) dictionary learning algorithm (DLA). The MOD algorithm with coe cient updates presents a computationally expensive dictionary learning iteration with high convergence rate. Secondly, we...

In this paper, the performance of several algorithms for the quantization of the mel-generalized cepstral coe cients is studied. First, the objective and subjective performance of two-stage vector quantization (VQ) is measured. It is shown that subjective quality for the mel-generalized cepstral coe cients is higher than that for LSP. Secondly, interframe prediction is introduced in the encodin...