Neutron and Synchrotron radiation methods have matured to become powerful techniques for the study of a vast range of materials, including metals. The characterization methods comprise the categories of diffraction, spectroscopy and imaging, which themselves can alter greatly in detail, to include hundreds of variants, problems and sample environments. In a similar way, their applications to me…
Selective and quantitative detection of different kinds of biocomponents plays an important role in biomedical applications, clinical diagnostics, environmental monitoring, toxicology, regenerative medicine and drug delivery. Therefore, multidisciplinary area of magnetic biosensing have been extensively developed in recent years, aiming to create compact analytical devices for non-expensive and…
The past decade has witnessed an explosion of knowledge regarding how mitochondrial dysfunction may translate into ageing and disease phenotypes, as well as how it is modulated by genetic and lifestyle factors. Impairment of the mitochondria may be caused by mutations or deletions in nuclear or mitochondrial DNA. Hallmarks of mitochondrial dysfunction include decreased ATP production, decreased…
The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based…
This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After…
This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and…
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…
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…
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…
Based on the experience of two Italian referral centers, the book depicts the characteristic findings obtained when using MR imaging to study the male and female pelvis including the obstetric applications. Each chapter provides a comprehensive account of the use of the imaging technique of examination, including the most recent advances in MR imaging, the anatomy and MR possibilities in the id…