The COVID-19 pandemic dominated the globe for at least three years, and infected a large proportion of the worldwide population. After the acute infection, many stay in poor health for months. The nature of this aftermath is not yet fully understood, therefore the management of this syndrome through biomedical therapy is not ideal. Health services are struggling to help those who are still suffering. The condition has now been recognised as post-COVID-19 syndrome (PCS) — providing a common platform for academic exchange.Traditional Chinese Medicine (TCM) has been applied to similar conditions for over 2,000 years, including in the aftermath of previous pandemics, and this understanding of such conditions has been validated in clinical practice. In TCM, patterns are established to group the weakness, the residue of pathogens or interaction between pathogens and the defence system. Those patterns form the framework for understanding the illness after acute infections. The authors use this ancient understanding in their own contemporary practice, which is particularly rewarding when the illness within PCS is treated with acupuncture, Chinese herbs, and other therapies in tandem. This is the holistic TCM approach strongly recommended by the authors as they demonstrate great outcomes. The whole-system TCM approach for PCS is now presented in this book to health professions for PCS.

Nonlinear Control Techniques for Electro-Hydraulic Actuators in Robotics Engineering meets the needs of those working in advanced electro-hydraulic controls for modern mechatronic and robotic systems. The non-linear EHS control methods covered are proving to be more effective than traditional controllers, such as PIDs. The control strategies given address parametric uncertainty, unknown external load disturbance, single-rod actuator characteristics, and control saturation. Theoretical and experimental validations are explained, and examples provided. Based on the authors' cutting-edge research, this work is an important resource for engineers, researchers, and students working in EHS.

Sumptuously-filmed Chinese gangster drama set in 1930s Shanghai. Two brothers, Gang (Liu Ye) and Hu (Tony Yang), and their best friend Feng (Daniel Wu) - self-proclaimed 'blood brothers' - leave the village where they grew up to pursue their dream of making it big in the city's underworld. Their close bond is severely tested as they rise up through the ranks and greed, power and ambition take their toll. Qi Shu co-stars as sultry cabaret singer and gangster's moll Lulu.