With passion and conviction, Johnson maintains that our response to our environment shapes our culture, determines our lifestyle, defines our identity, and sets the tone for our relationships and economies. With photos, she documents the landscape and contrasts the ecological relationships with land of First Nations peoples to those of non-indigenous scientists. The result is an absorbing study…
Spinal cord imaging has significantly benefited from new MR imaging methods such as cardiac-gated diffusion-weighted imaging, diffusion tensor imaging with fiber tracking, and time-resolved MR angiography. Recent decades have also witnessed fundamental progress in understanding of the pathophysiology of vascular, metabolic, and inflammatory spinal cord diseases. Furthermore, neurosurgical proce…
This book constitutes the refereed proceedings of the 23rd Annual European Symposium on Algorithms, ESA 2015, held in Patras, Greece, in September 2015, as part of ALGO 2015. The 86 revised full papers presented together with two invited lectures were carefully reviewed and selected from 320 initial submissions: 71 out of 261 in Track A, Design and Analysis, and 15 out of 59 in Track B, Eng…
Development of strategies to assist the movement of poorly permeable molecules across biological barriers has long been the goal of drug delivery science. In the last three decades, there has been an exponential increase in advanced drug delivery systems that aim to address this issue. However, most proprietary delivery technologies that have progressed to clinical development are based on perm…
The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In eighty chapters eighty different machine learning methodologies are reviewed, …
It is a compilation of research works related to intelligent and emerging system design using a range of tools including soft-computation. The book includes reviews, actual designs, research works, discussion and experimental results related to works in the areas of communication, computation, vision sciences, bio-inspired system design, social dynamic, related process design, etc. The audience…
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radi…
Plants have served mankind as an important source of foods and medicines. While we all consume plants and their products for nutritional support, a majority of the world population also rely on botanical remedies to meet their health needs, either as their own “traditional medicine” or as “complementary and alternative medicine”. From a pharmaceutical point of view, many compounds obtai…
This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily, Italy, in July 2015. The 32 papers presented in this volume were carefully reviewed and selected from 73 submissions. They deal with the algorithms, methods and theories relevant in data science, optimization and machine learning.
The essays in this book, written by researchers from both humanities and science, describe various theoretical and experimental approaches to adding medical ethics to a machine, what design features are necessary in order to achieve this, philosophical and practical questions concerning justice, rights, decision-making and responsibility in medical contexts, and accurately modeling essential ph…