In the natural sciences, a laboratory experiment can isolate variables, various particles and their movements. Similarly, the employment of an econometric model is an attempt to produce an economic ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. In order to solve these problems, this study combines Markov chain Monte Carlo ...

DeepSeek, until recently a little-known Chinese artificial intelligence company, has made itself the talk of the tech industry after it rolled out a series of large language models that outshone many ...

A network is a mathematical model used to represent relationships through connections, and this framework can be used to represent many real-world systems, such as the brain. There are multiple ways ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...