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Abstract: The organic fraction of municipal solid waste (MSW), such as plastics and paper, is commonly recycled in Japan, but a considerable room for improvement still remains. Energy intensive industries, such as steel, cement, paper, and power plants, have great capacities to accept waste plastics and paper to substitute their fossil resource consumption and to reduce carbon emissions. We propose a “smart recycling system” that utilizes existing industrial facilities that have high energy efficiency, for establishing a cost-effective and robust recycling system. The core of the smart recycling system is the smart recycling center (SRC) that establishes a new recycling pathway connecting spatially diffuse municipal sources to facilities in energy intensive industries. This paper discusses the design and function of an SRC and estimates the CO2 emissions and costs related to the operation and construction of the SRC. We also evaluated the cost effectiveness of the smart recycling system, taking into account sorted collection, incineration, processes in the SRC, and processes in industrial facilities. We estimated that the system could result in a reduction of approximately 100kg of CO2 emissions per capita per year without a significant increase in cost. [Copyright &y& Elsevier]

In the present paper, the full range Strichartz estimates for homogeneous Schrödinger equations with non-degenerate and non-smooth coefficients are proved. For inhomogeneous equation, the non-endpoint Strichartz estimates are also obtained. [ABSTRACT FROM AUTHOR]

In this paper, a general class of estimators for the estimation of a finite population total in multi-character surveys is proposed. It is shown that the estimators proposed by Amab (2002), Amahia et al. (1989) and Bansal and Singh (1985) are the special cases of the proposed class of estimators. The proposed class of estimators is always more efficient than the estimator proposed by Rao (1966). [ABSTRACT FROM AUTHOR]

In this paper, we derive the asymptotic distributions of AugmentedDickey-Fuller (ADF) tests under very mild conditions. The tests were originally proposed and investigated by Said and Dickey (1984) for testing unit roots in finite-order ARMA models with i.i.d, innovations, and are based on a finite AR process of order increasing with the sample size. Our conditions are significantly weaker than theirs. In particular, we allow for general linear processes with martingale difference innovations, possibly having conditional heteroskedasticities. The linear processes driven by ARCH type innovations are thus permitted. The range for the permissible increasing rates for the AR approximation order is also much wider. For the usual t-type test, we only require that it increase at order o(n[sup ½]) while they assume that it is of order o(n[sub K]) for some k satisfying 0 < k ≤ 1/3. [ABSTRACT FROM AUTHOR]