Abstract: Power flow is the most fundamental computation in power system analysis. Traditionally, the linear solution in power flow is solved by a direct method like LU decomposition on a CPU platform ...

The SSIT allows users to specify and solve the Chemical Master Equation (CME) for discrete stochastic models, especially those used for the analysis of single-cell gene regulaton. Inform and improve ...

QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for MATLAB) developed by Stephen J. Sangwine and Nicolas Le Bihan. Their ...

Abstract: Model predictive control strategy is an advanced control algorithm for bidirectional active and reactive power flow in electric vehicles. However, tuning the weighting factor is a ...

The best-fit SOE function from the model selection and ATP fitting was then used to calculate the reference TIA (Fig. 1). Calculation of the TIAs was based on the analytic solution of the SOE ...

Journal of Nuclear Medicine February 2024, jnumed.123.266268; DOI: https://doi.org/10.2967/jnumed.123.266268 ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Tissue-on-chip systems offer important capabilities in engineering of living tissues for diverse biomedical applications in disease model studies, drug screening, and regenerative medicine.

Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.

1 Department of Physics & Engineering Mathematics, Faculty of Engineering, Mansoura University, Mansoura, Egypt. 2 Department of Physics & Engineering Mathematics, Faculty of Engineering El-Mataria, ...

Recent advances in computer hardware and algorithms are spawning an explosive growth in the use of computer-based systems aimed at analyzing and ultimately correlating large amounts of experimental ...