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As an important component of human capital, the contribution of health to accelerating economic development and technological progress is obvious.The Internet has had a profound impact on the lifestyle of rural residents. Using the nationally representative data from the 2017 Chinese General Social Survey (CGSS), this study estimates the impacts of internet use on residents' health in rural China. We employ the propensity score matching (PSM) model to address the selection bias. Our findings reveal that Internet use can reduce the physical and mental health of rural residents significantly. Disaggregated analysis indicates that Internet use has a greater positive effect on physical health of male, elderly, high-educated, and eastern regional rural residents. Internet use only had significant positive effects on mental health of female, middle-aged, high-educated and western regional rural residents. In addition, we explore the mechanisms by which Internet use affects rural residents' health from social network.

Through the comparative and analysis of the positive anomaly characteristics of atmospheric electric field before lightning and terrestrial electric field before earthquake, this paper proposes that one of the mechanisms of earthquake generation is underground lightning, that is, huge underground electrical energy accumulates and releases instantaneously, and electrical energy is converted into mechanical energy instantaneously, causing the rupture of the solid structure of the underground lithosphere to form an earthquake. Based on this mechanism, the feasible methods of earthquake early warning are explored.

Physical phenomena observed before strong earthquakes have been reported for centuries. Precursor signals, which include radon anomalies, electrical signals, water level changes and ground lights near the epicenter, can all be used for earthquake prediction. Anomalous negative signals observed by ground-based atmospheric electric field instruments under fair weather conditions constitute a novel earthquake prediction approach. In theory, the abnormal radiation of heat before an earthquake produces fair weather around the epicenter. To determine the near-epicenter weather conditions prior to an earthquake, 81 global earthquake events with magnitudes of 6 or above from 2008 to 2021 were collected. According to Harrison's fair weather criteria, in 81.48% of all statistical cases, the weather was fair 6 h before the earthquake; in 62.96% of all cases, the weather was fair 24 h before the event. Moreover, most of these cases without fair weather several hours before the earthquake were near the sea. Among the 37 inland earthquakes, 86.49% were preceded by 6 h of fair weather, and 70.27% were preceded by fair weather for 24 h. We conclude that the weather near the epicenter might be fair for several hours before a strong earthquake, especially for inland events.