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Millions of children are dying each year with preventable and reversible critical illness, including circulatory shock and respiratory failure. According to the World Health Organization, in 2015, the under-five mortality rate in low-income countries was 76 deaths per 1000 live births – about 11 times the average rate in high-income countries (7 deaths per 1000 live births). There is limited data about the nature of the delivery of critical care in resource-limited regions. The care of critically ill children in low-resource settings is challenging, contributing factors include limitations in the existing infrastructure, lack of resources, and low numbers of appropriately trained healthcar...
ADVANCED PAEDIATRIC LIFE SUPPORT A PRACTICAL APPROACH TO EMERGENCIES The gold standard for treating paediatric emergencies Advanced Paediatric Life Support: A Practical Approach to Emergencies is the internationally renowned manual on emergency paediatric care. Written to support the course run by the Advanced Life Support Group, the book uses their structured approach: a tried and tested practical method of treating children during the crucial first few hours of a life-threatening illness or injury. Advanced Paediatric Life Support is used by doctors, nurses and allied health professionals dealing with emergencies in children. Its clear layout and straightforward style make it a highly prac...
The gold standard for treating paediatric emergencies Advanced Paediatric Life Support, Australia and New Zealand: A Practical Approach to Emergencies is the internationally renowned manual on emergency paediatric care. This text reinforces the course developed by the Advanced Life Support Group and utilises their tried and tested method of treating children in the event of a life-threatening illness or injury. Adapted specifically for Australia and New Zealand, this edition is a trusted resource used by qualified medical professionals dealing with emergencies involving paediatric patients. With a clear layout and straightforward style, this text can be used as a functional tool both for tra...
We propose in this chapter a deep learning-based recommendation system for aesthetic surgery, composing of a mobile application and a deep learning model. The deep learning model built based on the dataset of before- and after-surgery facial images can estimate the probability of the perfection of some parts of a face. In this study, we focus on the most two popular treatments: rejuvenation treatment and eye double-fold surgery. It is assumed that the outcomes of our history surgeries are perfect. Firstly a convolutional autoencoder is trained by eye images before and after surgery captured from various angles. The trained encoder is utilized to extract learned generic eye features. Secondly, the encoder is further trained by pairs of image samples, captured before and after surgery, to predict the probability of perfection, so-called perfection score. Based on this score, the system would suggest whether some sorts of specific aesthetic surgeries should be performed. We preliminarily achieve 88.9 and 93.1% accuracy on rejuvenation treatment and eye double-fold surgery, respectively.
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This proceedings volume gathers the outcomes of the International Conference on Engineering Research and Applications (ICERA 2019), which was held at Thai Nguyen University of Technology, Vietnam, on December 1–2, 2019 and provided an international forum for disseminating the latest theories and practices in engineering research and applications. The conference focused on original research work in a broad range of areas, including Mechanical Engineering, Materials and Mechanics of Materials, Mechatronics and Micromechatronics, Automotive Engineering, Electrical and Electronics Engineering, and Information and Communication Technology. By sharing the latest advances in these fields, the book will help academics and professionals alike to revisit their thinking on sustainable development.