Already in the early Neolithic period, farmers in what is now the Rhineland and Hesse diversified their grain cultivation, i.e. they cultivated ...

Researchers led by Aurore Perrault at Concordia University, Canada and Valeria Kebets at McGill University, Canada, have used a complex data-driven analysis to uncover relationships among multiple ...

Researchers utilize metabolomics to investigate the mechanisms underlying the association between food additives and ...

Deputy Governor Rhys Mendes speaks about how the Bank of Canada assesses underlying inflation, including the use of measures ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Introduction SLE is a chronic autoimmune disease characterised by multisystem involvement and fluctuating clinical course, ...

Background Globally, adolescent mothers and their children have poorer health outcomes. However, little is known regarding ...

Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...

Abstract: Entropy serves as an effective nonlinear dynamic indicator of time series complexity. A number of multivariate entropy methods exist and are effectively used in signal analysis. Existing ...