This research introduces an advanced finite control set model predictive current control (FCS-MPCC) specifically tailored for three-phase grid-connected inverters, with a primary focus on the suppression of common mode voltage (CMV). CMV is known for causing a range of issues, including leakage currents, electromagnetic interference (EMI), and accelerated system degradation. The proposed control strategy employs a system model that predicts the inverter's future states, enabling the selection of optimal switching states from a finite set to achieve dual objectives: precise current control and effective CMV reduction, a meticulously designed cost function evaluates the potential switching states, balancing the accuracy of current tracking against the necessity to minimize CMV.
View Article and Find Full Text PDFIn this paper, a comparative review for maximum power point tracking (MPPT) techniques based on model predictive control (MPC) is presented in the first part. Generally, the implementation methods of MPPT-based MPC can be categorized into the fixed switching technique and the variable switching one. On one side, the fixed switching method uses a digital observer for the photovoltaic (PV) model to predict the optimal control parameter (voltage or current).
View Article and Find Full Text PDFIntroduction: Healthcare-associated infections (HAIs) are an infection that patients acquire during receiving treatment and care for the medical or surgical problem.
Objective: The objective of this study is to find the patterns of HAIs cases in the hospital and to know the impact of the intervention on prevention and control of health care associated infection.
Methodology: This was prospective interventional study.
We need to be aware of rare causes of persistent thrombocytopenia as Bernard-Soulier syndrome (BSS). When BSS is suspected based on family history and giant platelets, genetic test for mutations of GPIbIXV is necessary. Management varies once you recognize the cause.
View Article and Find Full Text PDFEffectiveness of CNS-acting drugs depends on the localization, targeting, and capacity to be transported through the blood-brain barrier (BBB) which can be achieved by designing brain-targeting delivery vectors. Hence, the objective of this study was to screen the formulation and process variables affecting the performance of sertraline (Ser-HCl)-loaded pegylated and glycosylated liposomes. The prepared vectors were characterized for Ser-HCl entrapment, size, surface charge, release behavior, and in vitro transport through the BBB.
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