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Zn–Ni battery is prospective green energy storage device. However, Zn(OH)42–, the dissolved product of ZnO in the electrolyte, redistributes during the cycle, leading to the shape changing of the anode. This issue severely limits the lifespan of zinc anodes. Despite the success in improving...
Persistent link: https://www.econbiz.de/10013303909
This paper builds a complex network of weighted and directed coal trade based on the international coal trade data in the United Nations trade database from 1999 to 2018, specifically analyzes the trade scale, trade relations, and trade distribution and other characteristics of international...
Persistent link: https://www.econbiz.de/10013499049
This paper builds a complex network of weighted and directed coal trade based on the international coal trade data in the United Nations trade database from 1999 to 2018, specifically analyzes the trade scale, trade relations, and trade distribution and other characteristics of international...
Persistent link: https://www.econbiz.de/10015401625
Persistent link: https://www.econbiz.de/10015211803
There is considerable debate about the sustainability of the hydraulic fracturing (HF) water cycle in North America. Recently, this debate has expanded to China, where HF activities continue to grow. Here, we provide a critical review of the HF water cycle in China, including water withdrawal...
Persistent link: https://www.econbiz.de/10013230637
Persistent link: https://www.econbiz.de/10014547347
Even though blockchain as a research topic incites broad academic interest, there is arguably a balkanization that occurred along the natural delineation between public-permissionless blockchains and private-permissioned blockchains. IS researchers, for instance, have been more inclined to...
Persistent link: https://www.econbiz.de/10014244842
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...
Persistent link: https://www.econbiz.de/10015059684
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...
Persistent link: https://www.econbiz.de/10014256873
We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency,...
Persistent link: https://www.econbiz.de/10015080331