Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

The recently introduced multiscale entropy (MSE) method accounts for long range correlations over multiple time scales and can therefore reveal the complexity of biological signals. The existing MSE ...

Baseline LDH and SII levels emerged as key predictors of survival outcomes in individuals with advanced melanoma receiving ...

Utilizing IR PiFM, researchers can accurately analyze contaminants and defects under 20 nm, enhancing surface ...

Multivariate logistic regression analysis indicated that, in comparison to the control group, postoperative constipation ...

The finding that basophil counts may have prognostic significance aligns with a growing body of research into basophils in ...

Patients in rural or underserved areas may have worse outcomes, highlighting the need for early support to address care ...

Waldenström macroglobulinemia is often slow growing, with a 78% five-year survival rate, but chronic conditions can affect ...

The most sustainable microfinance models have embedded an element of community involvement in them. While this has been the ...

The impact of bronchiectasis on the severity of COVID-19 infection has been contradictory. Some studies report that ...

To address these challenges, we have presented a novel approach using the multivariate swarm-sparse decomposition method (MSSDM) for joint time–frequency (JTF) analysis and further developed a ...