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Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.
Public health & preventive medicine --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities
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The optimization of motion and trajectory planning is an effective and usually costless approach to improving the performance of robots, mechatronic systems, automatic machines and multibody systems. Indeed, wise planning increases precision and machine productivity, while reducing vibrations, motion time, actuation effort and energy consumption. On the other hand, the availability of optimized methods for motion planning allows for a cheaper and lighter system construction. The issue of motion planning is also tightly linked with the synthesis of high-performance feedback and feedforward control schemes, which can either enhance the effectiveness of motion planning or compensate for its gaps. To collect and disseminate a meaningful collection of these applications, this book proposes 15 novel research studies that cover different sub-areas, in the framework of motion planning and control.
History of engineering & technology --- humanoid robot --- walk fast --- rotational slip --- ZMP --- gait planning --- quadruped robot --- whole robot control --- location trajectory --- dynamic gait --- fin stabilizer --- command-filtered backstepping --- sliding mode control --- prescribed performance --- disturbance observer --- OES --- inertial stability accuracy --- low-speed performance --- speed observation --- disturbance observation --- state-augmented Kalman filter --- composed control scheme --- fractional calculus --- FOPD controller --- underwater vehicle --- motion control --- modal analysis --- flexible multibody systems --- linearized models --- six-legged robot --- whole-body motion planning --- rugged terrain --- support --- swing --- gesture-based teleoperation --- robotic assembly --- force feedback --- compliant robot motion --- pickup manipulator --- adaptive genetic algorithm --- trajectory optimization --- improved artificial potential field method --- obstacle avoidance planning --- robust estimation --- dynamic model --- unknown but bounded noise --- extended set-membership filter --- dynamic balancing --- shaking force balancing --- acceleration control of the center of mass --- fully Cartesian coordinates --- natural coordinates --- parallel manipulators --- passive model --- biped walking --- Impact and contact --- friction force --- dissipative force --- energy efficiency --- robot --- motion design --- functional redundancy --- UR5 --- hybrid navigation system --- weighted-sum model --- a heuristic algorithm --- piecewise cubic Bézier curve --- mobile robot
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