Yutao Luo, Yinzi Shao, Bowen Zhang, Ke Liu, Shida Liu, Zhongyuan Yuan, Shijing Sang (Author)
Article
This study employs an Autoregressive Integrated Moving Average (ARIMA) model to conduct time series analysis and forecasting of China's nuclear power generation, aiming to provide quantitative basis for medium-term energy planning. Utilizing 279 monthly observations from May 2000 to July 2025, the research systematically evaluated 131 model...
The engineering profession has always thrived on solving complex problems, but the twenty-first century presents challenges of unprecedented scale, interconnectedness, and uncertainty. Climate volatility disrupts infrastructure systems designed for historical conditions. Pandemics reveal vulnerabilities in global supply chains and healthcare...
Driven by the "Healthy China 2030" strategy and the new medical reform policies, large hospitals are facing problems such as difficulties in sinking high-quality medical resources, inconvenience for patients in remote areas to seek medical treatment, and low efficiency of remote treatment for emergency diseases. Taking a third-class A general...
Heart failure represents a significant global health challenge with substantial mortality rates. This study develops and validates a logistic regression-based predictive model for mortality risk assessment in heart failure patients using comprehensive clinical records. Analyzing data from 299 patients across 12 clinical features, we achieved a...
