BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

This brief develops a robust multiple model strategy for nonlinear system identification with system output data corrupted by outliers. The nonlinear system is described as a global model that ...

Multiple Lyapunov functions (MLFs)-based small-gain theorems are presented for switched interconnected nonlinear systems with unstable subsystems, which extend the small-gain technique from its ...

Hu, J.S., Chen, Q.Y. and Yu, T.X. (2025) Emotion Regulation and Depression Symptoms among Chinese Adolescents: The Sequential Mediation Effect of Social Anxiety and Loneliness. Open Journal of Social ...

Multiple regression models forecast a variable using a linear combination of predictors, whereas autoregressive models use a combination of past values of the variable.

Chang, X. and Wang, Z. (2014) Nodal and Multiple Solutions of Nonlinear Problems Involving the Fractional Laplacian. Journal of Differential Equations, 256, 2965-2992.

These algorithms include: Logistic Regression, Random Forest, NaiveBayes, SVM, XGBoost, and Adaboost. In each training, 80% of the total samples are selected for training, and the remaining samples ...

Four new dipolar cations have been synthesized, containing ferrocenyl electron donor groups and diquaternized 2,2′-bipyridyl (diquat) acceptors. To our knowledge, these are the first organometallic ...

The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts ...

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Hermite approximation in multiple dimensions is investigated. As an example, a spectral scheme and a pseudospectral scheme for the Logistic equation are constructed, respectively. The stability and ...

SRBench: A Living Benchmark for Symbolic Regression The methods for symbolic regression (SR) have come a long way since the days of Koza-style genetic programming (GP). Our goal with this project is ...