Wind power, as a promising renewable energy source, has environmental benefits, as well as economic and social ones. To evaluate wind energy properly and efficiently, this study proposes a hybrid forecasting approach that combines the Extreme Learning Machine (ELM), which rarely presents in...

This article conceptualizes and presents a research agenda for the emerging area of transformative service research, which lies at the intersection of service research and transformative consumer research and focuses on well-being outcomes related to service and services. A conceptual framework...

Addressing the decreasing motivation of R&D personnel in Japan, this paper analyzes the relations between motivation and R&D personnel's future-oriented mindset and the time-climate in their workplace. Questionnaires were given to 240 corporate R&D personnel in six Japanese companies. ANOVA...

This paper is devoted to stability analysis of the Zheng-Gang landslide in the Gu-Shui hydropower station in China. Based on the geological field investigations, the formation processes, the deformation mechanism related to rainfalls and the instability mode are first analyzed. Large scale...

In order to develop more efficient and cleaner gasoline engines, a number of new engine operating strategies have been proposed and researched on different engines, including the spark ignition (SI) and controlled autoignition (CAI) or HCCI in both 2-stroke and 4-stroke cycles in a poppet valve...

This paper explores the connection between the external opening of China and differences in innovation across Chinese regions. Controlling for locational advantages and fixed regional characteristics, for the period 1995-2010 overall we find that regions that have increased most the connections...

The use of reparameterization in the maximization of the likelihood function of the MA(q) model is discussed. A general method for testing for the presence of a parameter estimate on the boundary of an MA(q) model is presented. This test is illustrated with a brief simulation experiment for the...

A new version of the partial autocorrelation plot and a new family of subset autoregressive models are introduced. A comprehensive approach to model identification, estimation and diagnostic checking is developed for these models. These models are better suited to efficient model building of...

A symbolic method which can be used to obtain the asymptotic bias and variance coefficients to order O(1/n) for estimators in stationary time series is discussed. Using this method, the large-sample bias of the Burg estimator in the AR(p) for p = 1, 2, 3 is shown to be equal to that of the least...