As the financial condition of most individuals has taken the Halloween Products toll during the COVID-19 pandemic, this study aims to analyze varied risk perceptions owing to dynamic behavioral aspects ingrained in individuals.The study primarily incorporates the impact of COVID-19 induced risk perceptions on psychological bias and its aftermath on

Machine learning is widely used in various practical applications with deep learning models demonstrating advantages in handling huge data.Treating music as a special language and using deep learning models to accomplish melody recognition, music generation, and music analysis has proven feasible.In certain music-related deep learning research, rec

While a decline in the market value of sovereign assets (below a benchmark level of liabilities) can trigger sovereign distress/default risk, volatility in sovereign assets can increase the risk premium on domestic debt and credit spread on external debt.These can escalate the probability of debt default.Therefore, measuring the probability and dis

ABSTRACTThe icosahedron is currently the mainstream polygon in research and application of discrete global grid systems (DGGS).However, compared to the rhombic triacontahedron (RT), the icosahedron has disadvantages, such as lower sphere-fitting accuracy, greater projection distortion, and difficulty in incorporating the matrix structure for geospa

This paper proposes a three-dimensional lever-type inertial amplification metamaterial for the mitigation of low-frequency vibration.This metamaterial was developed as a small, stiff, and single-phase structure that can inhibit the transmission of vibration in a certain frequency range below HIGH RISE VOLUME CONDITIONER 100 Hz.An analytical model w