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Uncertainty in Biology
Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.
Towards Gender Equality in Law
This Open Access book aims to find out how and why states in various regions and of diverse cultural backgrounds fail in their gender equality laws and policies. In doing this, the book maps out states' failures in their legal systems and unpacks the clashes between different levels and forms of law-namely domestic laws, local regulations, or the implementation of international law, individually or in combination. By taking off from the confirmation that the concept of law that is to be used in achieving gender equality is a multidimensional, multi-layered, and to an extent, contradictory phenomenon, this book aims to find out how different layers of laws interact and how they impact gender ...
Recent Advances In Predicting And Preventing Epileptic Seizures - Proceedings Of The 5th International Workshop On Seizure Prediction
This book is to improve our understanding of mechanisms leading to seizures in humans and in developing new therapeutic options. The book covers topics such as recent approaches to seizure control, recent developments in signal processing of interest for seizure prediction, ictogenesis in complex epileptic brain networks, active probing of the pre-seizure state, non-EEG based approaches to the transition to seizures, microseizures and their role in the generation of clinical seizures, the impact of sleep and long-biological cycles on seizure prediction, as well as animal and computational models of seizures and epilepsy. Furthermore the book covers recent developments of international databases and of parallel computing structures based on Cellular Nonlinear Networks that can play an important role in the realization of a portable seizure warning device.
Brain-Computer Interface Research
This book reports on the latest research and developments in the field of brain-computer interfaces (BCIs). It introduces ten outstanding and innovative BCI projects, nominated as finalists for the BCI award 2012 by a jury of established researchers and discusses how each of the nominated projects reflects general worldwide trends in BCI development. At the core of the book, nine of these ten projects are described in detailed individual chapters. These include a focused introduction to each project, an easy to grasp description of the methods and a timely report on the most recent developments achieved since the submission to the award. Hence, this book provides a cutting-edge overview of the newest BCI research trends, from leading experts, in an easy to read format supported by explanatory pictures, graphs and figures.
