Do government intervention measures promote e-waste recycling in China?

To improve the low e-waste recycling rate, the Chinese government has introduced a series of intervention measures. However, the effectiveness of government intervention measures is controversial. This paper constructs a system dynamics model to study the impact of Chinese government intervention measures on e-waste recycling from a holistic perspective.

Early prediction of sepsis using double fusion of deep features and handcrafted features.

Sepsis is a life-threatening medical condition that is characterized by the dysregulated immune system response to infections, having both high morbidity and mortality rates. Early prediction of sepsis is critical to the decrease of mortality. This paper presents a novel early warning model called Double Fusion Sepsis Predictor (DFSP) for sepsis onset.

Maximal covering location problem of smart recycling infrastructure for recyclable waste in an uncertain environment.

To incentivise citizens to return recyclable waste (RW) through formal recycling channels, the Chinese government has introduced smart recycling facilities for RW. To maximise the satisfaction of citizens' demand for returning RW, the proper arrangement of recyclable facilities is a problem worth studying in cases in which there is a lack of data on the citizens' behaviour. Thus, to help government decision-makers rationally arrange smart recycling facilities, this paper discusses how to properly allocate the recycling infrastructure to cover the maximum demand with a limited number of smart recycling facilities in an uncertain environment.

Impact of government subsidies on pricing strategies in reverse supply chains of waste electrical and electronic equipment.

Many governments use subsidies to encourage the recycling of waste electrical and electronic equipment. In order to assist policymakers in maximizing the benefit of these incentives, this paper investigates strategies for the allocation strategy of government subsidies among the parties in the reverse supply chain of e-waste consisting of one collector, one remanufacturer and two retailers. The optimal pricing decisions and effects of government subsidies with multiple subsidized parties are examined.