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AbstractWe study the economic fluctuations in China by using a standard neoclassical general equilibrium model to provide a structural analysis. We have carefully constructed measurements for economic variables from Chinese data to be consistent with the literature. We show that the government spending behaviour plays an important role in accounting for the changes in the pattern of both absolute and relative volatilities. Although we find that a general moderation in economic fluctuations after 1978 can be largely explained by the total factor productivity (TFP) process, TFP itself cannot explain the change in the pattern of relative volatilities. We show that policy changes in government spending can account for the relative volatility divergency. Counterfactual experiments are also provided to discover the role of each factor in explaining the economic fluctuations in China.

Abstract
The increasing need for precise dietary monitoring across various health scenarios has led to innovations in wearable sensing technologies. However, continuously tracking food and fluid intake during daily activities can be complex. In this study, we present a machine-learning-powered smart neckband that features wireless connectivity and a comfortable, foldable design. Initially considered beneficial for managing conditions such as diabetes and obesity by facilitating dietary control, the device's utility extends beyond these applications. It has proved to be valuable for sports enthusiasts, individuals focused on diet control, and general health monitoring. Its wireless connectivity, ergonomic design, and advanced classification capabilities offer a promising solution for overcoming the limitations of traditional dietary tracking methods, highlighting its potential in personalized healthcare and wellness strategies.