It is an inherently challenging scientific endeavor to understand and predict multi-scale, high-dimensional and nonlinear seismological phenomena.The increasing amount of observational big data breaks the linkage between data collection and interpretation, and increases the obscurity and uncertainty in data analysis.However, there is also artificia

Previous multi-view crowd counting methods underperform in maintaining scale consistency across views and overlook the negative effect of the complex background.To solve these problems, a scale aggregation and spatial-aware network for multi-view crowd counting (SASNet) is proposed.Firstly, we design a multi-branch adaptive scale aggregation module

High-precision rainfall field reconstruction and nowcasting play an important role in many aspects of social life.In recent years, the rain-induced signal attenuation of oblique earth-space links (OELs) has been presented to monitor regional rainfall.In this paper, we set up the first OEL in Nanjing, China, for the estimation of rain intensity.A ye

Cultural tightness-looseness represents the degree to which a particular culture possesses strong behavioral norms, and the degree to which members of that culture are likely to sanction individuals who deviate from those norms.While tightness-looseness has been quantified for a large and Cooler growing number of countries around the world, there a