本文提出了一种面向校园级混合微电网的动态能量管理策略，系统集成了光伏（PV）、风力发电、质子交换膜燃料电池以及电池储能，用于支持电动汽车（EV）充电基础设施在复杂环境与负荷条件下的稳定运行。研究以澳大利亚Federation University ...

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 ...

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

Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing ...

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.

Introduction: Treatment planning of Lu-177-labelled PSMA (Lu-177-PSMA) therapy using a physiologically-based pharmacokinetic (PBPK) model requires knowledge of its parameters [1]. In this work, we ...

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 ...