Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis

Background: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries.The quick spread of the virus and isolation strategies may trigger psychological problems.Our aim was to explore the dynamic network structure of the psychological state before and during the epidemic.Methods: A web-based survey was

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Animated Avatar Generation Technology Research Based on Deep Convolutional Generative Adversarial Network Integrated With Self-Attention and Spectral Normalization

The burgeoning field of large language models (LLMs), exemplified by DALL-E and Stable Diffusion, has made image generation a reality.However, the computationally intensive GPU training these models necessitate incurs substantial financial burdens.Moreover, while a plethora of image datasets are accessible, specialized anime avatar datasets remain

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Origins of 1/f noise in human music performance from short-range autocorrelations related to rhythmic structures.

1/f fluctuations have been described in numerous physical and biological processes.This noise structure describes an inverse relationship between the intensity and frequency of events in a time series (for example reflected in power spectra), and is believed to indicate long-range dependence, whereby events at one time point influence events many o

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