The effect of targeted poverty alleviation on consumption of poor rural households in China.

Using a survey data of 358 rural households from Jiangxi province of China. This article uses the regression adjusted inverse probability weighted estimation method (IPWRA) to study the impact of precision poverty alleviation on the consumption of rural impoverished households. The empirical results of ATE estimation indicate that precision poverty alleviation has a significant impact on the total consumption and food, clothing, education and living consumption of impoverished households, but has no significant impact on transportation, communication and miscellaneous consumption.

Laser direct overall water splitting for H and HO production.

Hydrogen (H) and hydrogen peroxide (HO) play crucial roles as energy carriers and raw materials for industrial production. However, the current techniques for H and HO production rely on complex catalysts and involve multiple intermediate steps. In this study, we present a straightforward, environmentally friendly, and highly efficient laser-induced conversion method for overall water splitting to simultaneously generate H and HO at ambient conditions without any catalysts.

Anomalous Water Wetting on a Hydrophilic Substrate under a High Electric Field.

Macroscopically, the traditional Young-Lippmann equation is used to describe the water contact angle under a weak electric field. Here we report a new wetting mechanism of deionized water under a strong electric field that defies the conventional Young-Lippmann equation. The contact angle of the deionized water droplet on a model hexagonal lattice with a different initial wettability is extensively modulated by the vertical electric field.

The influence of energy consumption and research and development on carbon emission in China: a modified spatial Durbin model approach.

Global warming continues to be an intimidating factor for environmental protection and promoting environmental quality requires urgent attention. This research aims to explore the influence of research and development, environmental regulation, and energy consumption on carbon emissions in China using the modified spatial Durbin model. The dynamic threshold model was introduced in anticipation of a possible endogeneity bias.