Meet Dr. Wu Lien-teh, defeater of the Manchurian plague—in a story authored by his great-granddaughter, an emergency physician who relied on his life-saving invention during a pandemic a century later. More than a hundred years before Covid, a deadly pneumonic plague threatened to sweep through Northeast China. Medical experts were summoned to help contain it—among them Wu Lien-teh, who had overcome hurdles to be a doctor since his boyhood in Malaysia. Unlike others, Dr. Wu deduced the disease was spread through airborne bacteria and advocated for quarantines and other measures familiar to readers today, including the use of a face covering he designed from layers of cloth and gauze: the first version of the N95 mask. Wu Lien-teh faced ridicule and discrimination, but his trailblazing methods prevailed: the 1910 Manchurian plague was vanquished in four months, and his invention continues to keep us safe now. Masked Hero, written by Dr. Wu Lien-teh’s great-granddaughter Shan Woo Liu and charmingly illustrated by Lisa Wee, celebrates the little-known history of the N95 mask and the hero who first devised it. Back matter, including an author’s note and a time line, sheds further light on the ever-relevant past, encouraging budding scientists to think bravely—and remember the small acts we all can perform to keep our communities safe.
From Dr. Liu Xiaodan and Dr. Shan Chunlei and their colleagues at the Shanghai Public Health Clinical Center and Lei Shenshan Hospital in Wuhan, comes a must-have guide for recovering and rehabbing after contracting the coronavirus (COVID-19). The Center for Disease Control and Prevention in the US and the World Health Organization have declared the coronavirus a worldwide health emergency. With the virus in 210 countries around the world, much focus is on the growing number of new cases. But how should those who have already contracted the virus start the recovery process? According to the clinical needs of mild and severe COVID-19 patients, The Coronavirus Recovery Handbook puts forward a series of lung rehabilitation training methods of integrated traditional Chinese and western medicine, which have been used in the Shanghai Public Health Clinical Center (affiliated to Fudan University) and Lei Shenshan Hospital in Wuhan. The pulmonary-based Qigong rehabilitation protocol (PQRP) featured in the handbook was created by Dr. Liu Xiaodan to aide in the recuperation of COVID-19 patients. Qigong is a centuries-old system of coordinated body-posture and movement, breathing, and meditation used for the purposes of health, spirituality, and martial-arts training. This is the first authoritative, comprehensive guide to recovering and rehabbing from COVID-19 with 19 easy-to-follow traditional Chinese exercises. Written in plain language, here is information that will help readers and professionals recuperate from this devastating virus. As COVID-19 continues to spread around the world—China, South Korea, Iran, Italy, Germany, the United Kingdom, Canada, and the United States—and cases continue to rise in number, the ability to regain one’s strength, especially in the lungs, is imperative. Led by Dr. Liu Xiaodan and Dr. Shan Chunlei, The Coronavirus Recovery Handbook was created by the rehabilitation medicine team of Shanghai University of Traditional Chinese Medicine, based on their previous clinical and scientific research work, combined with relevant national diagnosis and treatment guidance and the clinical experience of many experts involved in the fight against this epidemic. With 19 exercises for individuals to utilize in their recovery from COVID-19, the information in this handbook could be lifesaving. If the worst should happen, the information in this book will help you recover your strength after fighting COVID-19.
This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep learning on point clouds methods include comprehensive analysis of the breakthroughs from the past few years. Brand-new explainable machine learning methods for point cloud learning, which are lightweight and easy to train, are then thoroughly introduced. Quantitative and qualitative performance evaluations are provided. The comparison and analysis between the three types of methods are given to help readers have a deeper understanding. With the rich deep learning literature in 2D vision, a natural inclination for 3D vision researchers is to develop deep learning methods for point cloud processing. Deep learning on point clouds has gained popularity since 2017, and the number of conference papers in this area continue to increase. Unlike 2D images, point clouds do not have a specific order, which makes point cloud processing by deep learning quite challenging. In addition, due to the geometric nature of point clouds, traditional methods are still widely used in industry. Therefore, this book aims to make readers familiar with this area by providing comprehensive overview of the traditional methods and the state-of-the-art deep learning methods. A major portion of this book focuses on explainable machine learning as a different approach to deep learning. The explainable machine learning methods offer a series of advantages over traditional methods and deep learning methods. This is a main highlight and novelty of the book. By tackling three research tasks -- 3D object recognition, segmentation, and registration using our methodology -- readers will have a sense of how to solve problems in a different way and can apply the frameworks to other 3D computer vision tasks, thus give them inspiration for their own future research. Numerous experiments, analysis and comparisons on three 3D computer vision tasks (object recognition, segmentation, detection and registration) are provided so that readers can learn how to solve difficult Computer Vision problems.
She was a monster that the villagers despised.He was the sickly young master who couldn't live past the age of nineteen. When the two of them met, she became the medicine that he would never be able to leave in his lifetime. "My wife, someone is bullying me again." Luo Yi Xiao said while clutching his chest. Chen Fuyue's eyes slightly widened as she coldly swept her gaze, "Who dares!?" No one dares, no one dares.
Tieba live broadcast: There's a subject posted online. She sent me those photos and voice messages in the middle of the night. I had a girlfriend online. The first time we met, I forcefully hugged her and took advantage of her. A few passersby stared at me and I glared at them. "What are you guys looking at? Have you never seen someone so shameless?" Cherish my youth, walk my path, and use your sword to make me king! — — Lin Feng
This book focuses on the phenomenon of sediment erosion and resuspension in the Yellow River delta, China, which is a vital issue involved in understanding the sediment transport processes in estuarine and coastal environments, and how these contribute to the nature and distribution of geohazards in the subaqueous Yellow River delta and Bohai Sea. The most important sections of this book will be the detailed physical mechanisms and theoretical models of sediment erosion and resuspension problem fully considering the wave-induced seabed dynamic response to waves, which are particularly useful for postgraduate students and junior researchers entering the discipline of estuary and coastal sedimentation, marine geotechnical engineering, estuary and coastal engineering, harbor and waterway engineering and coastal environmental protection. This book can also serve as a textbook for advanced graduate students of Marine Engineering Geology and Estuarine Sediment Dynamics.
This collection examines corruption and abuses of power in China from the end of the imperial period to the present. The interdisciplinary group of contributors examines how the Chinese Communist Party has adapted to economic and social changes while continuing to control the law, state, and mass media.
This book introduces readers to the navigation, guidance and control technologies involved in single-spacecraft, double-spacecraft, and multiple-spacecraft tasks in elliptical orbits. It comprehensively covers the key technologies of guidance, navigation and control (GNC) system design for spacecraft in elliptical orbits, including the orbit design, formation configuration design and maintenance, autonomous navigation technology and relative navigation technology, as well as autonomous rendezvous technology. The methods that this book introduces are very close to actual practical engineering applications and presented in an accessible style. The book can serve as reference teaching material for senior undergraduates and postgraduates with space navigation related majors, while also providing essential information and guidance for research personnel and engineering technical personnel engaged in the development of GNC systems for spacecraft.
Isolating faulty variables is a crucial step during the determination of the root causes of a process fault. Contribution plots, with their corresponding control limits, are the most popular tools used for isolating faulty variables. However, the isolation results may be misled by the smearing effect. In addition, the control limits of the contributions cannot be used to isolate faulty variables, since the control limits are obtained from the normal operating data, which lack any information about the faults. In chemical processes, process faults rarely show a random behavior; on the contrary, they will be propagated to varying variables due to the actions of the process controllers. During the evolution of a fault, the task of isolating faulty variables needs to be concerned with the faulty variables decided in the previous data; in addition, the current decisions should influence the isolation results for the next sample when the fault is constantly occurring. In the presented work, an unsupervised data-driven fault isolation method was developed based on Bayesian decision theory. The Tennessee Eastman (TE) process was used as a benchmark example to demonstrate how the different faulty variables were isolated when the fault was evolving.
She was a monster that the villagers despised.He was the sickly young master who couldn't live past the age of nineteen. When the two of them met, she became the medicine that he would never be able to leave in his lifetime. "My wife, someone is bullying me again." Luo Yi Xiao said while clutching his chest. Chen Fuyue's eyes slightly widened as she coldly swept her gaze, "Who dares!?" No one dares, no one dares.
She was a monster that the villagers despised.He was the sickly young master who couldn't live past the age of nineteen. When the two of them met, she became the medicine that he would never be able to leave in his lifetime. "My wife, someone is bullying me again." Luo Yi Xiao said while clutching his chest. Chen Fuyue's eyes slightly widened as she coldly swept her gaze, "Who dares!?" No one dares, no one dares.
She was a monster that the villagers despised.He was the sickly young master who couldn't live past the age of nineteen. When the two of them met, she became the medicine that he would never be able to leave in his lifetime. "My wife, someone is bullying me again." Luo Yi Xiao said while clutching his chest. Chen Fuyue's eyes slightly widened as she coldly swept her gaze, "Who dares!?" No one dares, no one dares.
She was a monster that the villagers despised.He was the sickly young master who couldn't live past the age of nineteen. When the two of them met, she became the medicine that he would never be able to leave in his lifetime. "My wife, someone is bullying me again." Luo Yi Xiao said while clutching his chest. Chen Fuyue's eyes slightly widened as she coldly swept her gaze, "Who dares!?" No one dares, no one dares.
One of the key motivations and goals for China's social and economic development is the dual carbon target. Building is one of the most important sectors to reduce emissions and save energy, accounting for more than 20% of China's primary energy consumption and carbon emissions. This book analyzes the energy consumption of China's buildings sector in four categories, their characteristics and technologies to improve energy efficiency, and examines the greenhouse gas emissions of China's buildings, including building construction embodied emission and building operation emissions. In particular, this book discusses the ways to achieve carbon neutrality targets for China's public and commercial building sectors. This book also analyzes the energy mix, energy intensity, and technological prospects for achieving energy and carbon targets in the public and commercial building sectors. This book contains a large amount of survey data, monitoring data, and case studies. The debate on technologies and policies is underpinned by a variety of evidence and research that has been ongoing for more than a decade. The information, data, and policy recommendations will be of interest to a national and international audience working in the fields of energy, climate change, engineering, and building science.
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