This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

The study shows that artificial intelligence has emerged as one of the most consistent and powerful drivers of renewable ...

Discover how long-term growth expectations drive investment decisions and stock valuations. Explore new research that reveals ...

The dynamics of soil organic carbon (SOC) play a critical role in the global carbon cycle. In context of global warming, ...

Metabolic syndrome affects nearly 40% of adults, with sharper increases seen in older age groups and non-Hispanic Black ...

A large NHANES analysis found that nearly four in ten US adults met criteria for metabolic syndrome between 2013 and 2023, ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...

During the past years, with further confirmatory data arriving in twenty twenty five, every physical mechanism required for neutrinovoltaic conversion has been empirically validated and published in ...

Objective China has continued to improve tuberculosis (TB) control in the past decade; however, the sudden outbreak of ...