Forecasting e-waste recovery scale driven by seasonal data characteristics: A decomposition-ensemble approach.

Forecasting the scale of e-waste recycling is the basis for the government to formulate the development plan of circular economy and relevant subsidy policies and enterprises to evaluate resource recovery and optimise production capacity. In this article, the CH-X12 /STL-X framework for e-waste recycling scale prediction is proposed based on the idea of 'decomposition-integration', considering that the seasonal data characteristics of quarterly e-waste recycling scale data may lead to large forecasting errors and inconsistent forecasting results of a traditional single model. First, the seasonal data characteristics of the time series of e-waste recovery scale are identified based on Canova-Hansen (CH) test, and then the time series suitable for seasonal decomposition is extracted with X12 or seasonal-trend decomposition procedure based on loess (STL) model for seasonal components. Then, the Holt-Winters model was used to predict the seasonal component, and the support vector regression (SVR) model was used to predict the other components. Finally, the linear sum of the prediction results of each component is used to obtain the final prediction result. The empirical results show that the proposed CH-X12/STL-X forecasting framework can better meet the modelling requirements for time-series forecasting driven by different seasonal data characteristics and has better and more stable forecasting performance than traditional single models (Holt-Winters model, seasonal autoregressive integrated moving average model and SVR model).

Analysis of the causes of moral injury in the outbreak of 2019-nCoV.

The infection of the novel coronavirus that originated from Wuhan, China in December 2019 converted rapidly into a pandemic by March 11, 2020. Whereas the infection mortality rate is not completely understood, it seems to be significantly beyond that of other recent pandemics (e.g., H1N1 pandemic). This paper discusses moral injury in the context of disaster and epidemic and how easily the moral psychology of individuals and society can be shaken. Moral injury is a multiscientific concept involving psychology, culture, and religion. Amid the outbreak of the novel coronavirus pneumonia, immoral behaviors and events such as violence, injury, and illness have also caused different degrees of impact on the moral standards of individuals, confusing moral cognition, destroying moral emotion, and weakening moral toughness, resulting in varying degrees of moral injury. If there is no national health, there will be no positive society for all. Based on this, the public needs to pay close attention to the moral health of the whole people and effectively avoid the occurrence of moral injury. (PsycInfo Database Record (c) 2020 APA, all rights reserved).