Fossil fuel subsidies reform has been intensively debated and promoted as a concrete step towards sustainable development, with anticipated benefits of reduced carbon emissions, saved public spending, and improved social distribution. But does this "triple-win" policy deliver what it promises?...

A heat-pulse (HP) sensor installed in a double-layered soil with the heating probe positioned at the layer interface violates the underlying assumption of soil homogeneity for the cylindrical perfect conductors (CPC) theory used to interpret the HP data. In this study, laboratory and numerical...

Ambient air pollution kills over four million people every year globally. Improving air quality presents a complex problem for governments as emissions are produced from a wide range of sources and tend to cross boundaries. To understand the challenge of transboundary air pollution transfer, we...

In this paper, lag synchronization for a class of delayed fuzzy cellular networks is investigated. By utilizing inequality technique, Lyapunov functional theory and the analysis method, some new and useful criteria of lag synchronization for the addressed networks are derived in terms of p-norm...

The current circular economy concept supports the recycling of organic wastes into value-added products. In this work, four typical organic wastes including sewage sludge (SS), chicken manure (CM), food waste (FW), and corn straw (CS) were employed to produce hydrolysates augmenting shortcut...

As biological knowledge accumulates rapidly, gene networks encoding genomewide gene-gene interactions have been constructed. As an improvement over the standard mixture model that tests all the genes identically and independently distributed "a priori", Wei and co-workers have proposed modelling...

With the aim of understanding the usefulness of cross-country interactions and long memory dependencies in exchange rate return forecast, we propose, compare, and evaluate various neural network architectures. These architectures include the proposed deep latent factor (DLF) and deep prediction...