Design of a Feedback-Controlled Wireless Converter for Electric Vehicle Wireless Charging Applications

Electric vehicles (EVs) have played an important role in the modern transporta-tion system in recent years. However, current generations of EVs face unsolved drawbacks such as short driving range, long charging time, and high cost due to expensive battery systems. Wireless Power Transfer (WPT) is a promising technology that is able to mitigate the drawbacks EVs are facing. This paper focuses on investigating and building a complete high-efficiency WPT system that is capable of efficiently charging electric vehicles. The goal is to design and ap-ply two different configurations of compensation networks to the WPT system. In this paper, the two compensation network configurations studied are LLC and LCC. After comparing their operational characteristics and efficiencies, the most suitable configuration is proposed. Moreover, a phase-shifted controller is applied in order to regulate the power transferred through the WPT system

Water reticulation model for Taman Maju, Parit Raja

A numerical model is developed to quantify energy head losses occurred in the water distribution network of Taman Maju, Parit Raja, Johor. A numerical computation has the advantage over a manual computation when analyzing a complex distribution network. The programming language used in this study is the Microsoft Visual Basic 6.0. Hardy-Cross method is selected to calculate the total energy head loss incurred in the looped water distribution network of Taman Maju. The type of pipe used in the water distribution network of Taman Maju is the unplasticised polyvinyl chloride (uPVC) type with the roughness coefficient k = 0.0015 mm. Since Taman Maju consists of terrace houses, the water demand is 1360 litres/unit/day. Three loop networks are considered, namely loop A, B and C for Taman Maju reticulation system. The final flow rate in each pipe has been obtained. This model is helpful in reducing the period of time to calculate the flow rate which is found to be within the piping system design requirement. If comparison is made between the manual calculation, it will definitely shows some difference. The final result will be different because the decimal places fixed are different in manual and mode

Long COVID and cardiovascular disease: a learning health system approach

Cardiovascular disease is both a risk factor and potential outcome of the direct, indirect and long-term effects of COVID-19. A recent analysis in >150,000 survivors of COVID-19 demonstrates an increased 1-year risk of numerous cardiovascular diseases. Preventing and managing this new disease burden presents challenges to health systems and requires a learning health system approach

Hybrid iterative learning control of a flexible manipulator

This paper presents an investigation into the development of a hybrid control scheme with iterative learning for input tracking and end-point vibration suppression of a flexible manipulator system. The dynamic model of the system is derived using the finite element method. Initially, a collocated proportional-derivative (PD) controller using hub angle and hub velocity feedback is developed for control of rigid-body motion of the system. This is then extended to incorporate a non-collocated proportional-integral-derivative (PID) controller with iterative learning for control of vibration of the system. Simulation results of the response of the manipulator with the controllers are presented in the time and frequency domains. The performance of the hybrid iterative learning control scheme is assessed in terms of input tracking and level of vibration reduction in comparison to a conventionally designed PD-PID control scheme. The effectiveness of the control scheme in handling various payloads is also studied

Investigation of Molecular Functions of Zinc Finger Protein (ZNF71) in Non- Small Cell Lung Cancer

Non-small cell lung cancer (NSCLC) is the first cause of tumor-related death worldwide. Despite the advancement in surgical and medical treatment, the prognosis of the disease remains poor1. To date, there is no available molecular assay to predict the benefit of therapy or tumor recurrence 2. ZNF71 was reported in our previous study, which identified a 7-gene predictive signature for the clinical benefit of chemotherapy and prognosis in NSCLC2. The study concluded that patients who have higher ZNF71 protein expression have better survival. For this reason, we decided to study the molecular function of ZNF71 and how it may affect apoptosis, proliferation, and/or epithelial-mesenchymal transformation (EMT) in NSCLC. The study is restricted by the regulations of COVID-19 social distancing, so many experiments were stopped and recommended for future work. We used a Taxol-resistant cell line H460-R derived from the Taxol-sensitive H460-P NSCLC cell line to compare the level of ZNF71. H460-P cells express a higher level of ZNF71 mRNA, and Taxol induces it slightly. Also, we found that the ZNF71 mRNA level is higher among epithelial NSCLC, and lower in mesenchymal-like-cells. Furthermore, KRAB containing ZNF71 is expressed dominantly in mesenchymal NSCLC, while KRAB-less ZNF71 is expressed in both mesenchymal and epithelial and its level is always higher than KRAB isoform except for in H460-R cells. This suggests that a KRAB to KRAB-less ratio could has a role in the cells\u27 fate and the patients\u27 prognosis, but further studies are required and recommended