The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms.

This book provides a 'one-stop source' for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today's data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors. It describes classifiers of zero and first order, and the new, highly efficient and transparent deep rule-based classifiers, particularly highlighting their applications to image processing. Local optimality and stability conditions for the methods presented are formally derived and stated, while the software is also provided as supplemental, open-source material. The book will greatly benefit postgraduate students, researchers and practitioners dealing with advanced data processing, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems. It can also be used as a textbook for postgraduate coursework; for this purpose, a standalone set of lecture notes and corresponding lab session notes are available on the same website as the code. Dimitar Filev, Henry Ford Technical Fellow, Ford Motor Company, USA, and Member of the National Academy of Engineering, USA: "The book Empirical Approach to Machine Learning opens new horizons to automated and efficient data processing." Paul J. Werbos, Inventor of the back-propagation method, USA: "I owe great thanks to Professor Plamen Angelov for making this important material available to the community just as I see great practical needs for it, in the new area of making real sense of high-speed data from the brain." Chin-Teng Lin, Distinguished Professor at University of Technology Sydney, Australia: "This new book will set up a milestone for the modern intelligent systems." Edward Tunstel, President of IEEE Systems, Man, Cybernetics Society, USA: "Empirical Approach to Machine Learning provides an insightful and visionary boost of progress in the evolution of computational learning capabilities yielding interpretable and transparent implementations."

The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on the use of Atanassov's intuitionistic fuzzy sets and logic, and generalized nets for describing and dealing with uncertainty in different areas of science, technology and business, in a single, to date unique book. Here, readers find theoretical chapters, dealing with intuitionistic fuzzy operators, membership functions and algorithms, among other topics, as well as application-oriented chapters, reporting on the implementation of methods and relevant case studies in management science, the IT industry, medicine and/or education. With this book, the editors wish to pay homage to Professor Krassimir Todorov Atanassov for his pioneering work on both generalized nets and intuitionistic fuzzy set.

This volume addresses a theme of special significance for Byzantine studies. Byzantium has traditionally been deemed a civilisation which deferred to authority and set special store by orthodoxy, canon and proper order. Since 1982 when the distinguished Russian Byzantinist Alexander Kazhdan wrote that 'the history of Byzantine intellectual opposition has yet to be written', scholars have increasingly highlighted cases of subversion of 'correct practice' and 'correct belief' in Byzantium. This innovative scholarly effort has produced important results, although it has been hampered by the lack of dialogue across the disciplines of Byzantine studies. The 43rd Spring Symposium of Byzantine Studies in 2010 drew together historians, art historians, and scholars of literature, religion and philosophy, who discussed shared and discipline-specific approaches to the theme of subversion. The present volume presents a selection of the papers delivered at the symposium enriched with specially commissioned contributions. Most papers deal with the period after the eleventh century, although early Byzantium is not ignored. Theoretical questions about the nature, articulation and limits of subversion are addressed within the frameworks of individual disciplines and in a larger context. The volume comes at a timely junction in the development of Byzantine studies, as interest in subversion and nonconformity in general has been rising steadily in the field.

This volume addresses a theme of special significance for Byzantine studies. Byzantium has traditionally been deemed a civilisation which deferred to authority and set special store by orthodoxy, canon and proper order. Since 1982 when the distinguished Russian Byzantinist Alexander Kazhdan wrote that 'the history of Byzantine intellectual opposition has yet to be written', scholars have increasingly highlighted cases of subversion of 'correct practice' and 'correct belief' in Byzantium. This innovative scholarly effort has produced important results, although it has been hampered by the lack of dialogue across the disciplines of Byzantine studies. The 43rd Spring Symposium of Byzantine Studies in 2010 drew together historians, art historians, and scholars of literature, religion and philosophy, who discussed shared and discipline-specific approaches to the theme of subversion. The present volume presents a selection of the papers delivered at the symposium enriched with specially commissioned contributions. Most papers deal with the period after the eleventh century, although early Byzantium is not ignored. Theoretical questions about the nature, articulation and limits of subversion are addressed within the frameworks of individual disciplines and in a larger context. The volume comes at a timely junction in the development of Byzantine studies, as interest in subversion and nonconformity in general has been rising steadily in the field.

The work known as Pseudo-Kodinos, the fourteenth-century text which is one of two surviving ceremonial books from the Byzantine empire, is presented here for the first time in English translation. With facing page Greek text and the first in-depth analysis in the form of commentary and individual studies on the hierarchy, the ceremonies, court attire, the Blachernai palace, lighting, music, gestures and postures, this volume makes an important new contribution to the study of the Byzantine court, and to the history and culture of Byzantium more broadly. The unique traits of this ceremony book include the combination of hierarchical lists of court officials with protocols of ceremonies; a detailed description of the clothing used at court, in particular, hats and staffs; an account of the functions of the court title holders, a description of the ceremonies of the year which take place both inside the palace and outside; the service of the megas domestikos in the army, protocols for the coronation of the emperor, the promotions of despot, sebastokrator and caesar, of the patriarch; a description of the mourning attire of the emperor; protocol for the reception of a foreign bride in Constantinople all these are analysed here. Developments in ceremonial since the tenth-century Book of Ceremonies are discussed, as is the space in which ceremonial was performed, along with a new interpretation of the 'other palace', the Blachernai. The text reveals the anonymous authors' interest in the past, in the origins of practices and items of clothing, but it is argued that Pseudo-Kodinos presents descriptions of actual practice at the Byzantine court, rather than prescriptions.

This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and "AI winters." Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

This book presents novel communication technology solutions to address the effects of climate change and climate variability on agriculture, with a particular focus on those that increase agricultural production. It discusses decision support and early warning systems for agriculture; information technology (IT) supporting sustainable water management and land cover dynamics; predictive of crop production models; and software applications for reducing the effects of diseases and pests on crops. Further topics include the real-time monitoring of weather conditions and water quality, as well as food security issues. Featuring the proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'18), held on November 21-23, 2018, in Cali, Colombia, the book represents a timely report and a source of new ideas and solutions for both researchers and practitioners active in the agricultural sector around the globe.

This book presents novel communication technology solutions to address the effects of climate change and climate variability on agriculture, with a particular focus on those that increase agricultural production. It discusses decision support and early warning systems for agriculture; information technology (IT) supporting sustainable water management and land cover dynamics; predictive of crop production models; and software applications for reducing the effects of diseases and pests on crops. Further topics include the real-time monitoring of weather conditions and water quality, as well as food security issues. Featuring the proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), held on November 22-24, 2017, in Popayan, Colombia, the book represents a timely report and a source of new ideas and solutions for both researchers and practitioners active in the agricultural sector around the globe.

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23-25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.

The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 16th Annual UK Workshop on Computational Intelligence, held on September 7-9, 2016, in Lancaster, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS'2014 for short, held on September 24-26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014 - Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. The conference was organized by theSystems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and Industrial Institute of Automation and Measurements - PIAP. The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.

Recovery of mimic function after facial nerve transection is poor: the successful regrowth of axotomized motoneurons to their targets is compromised by (i) poor axonal navigation and excessive collateral branching, (ii) abnormal exchange of nerve impulses between adjacent regrowing axons and (iii) insufficient synaptic input to facial motoneurons. As a result, axotomized motoneurons get hyperexcitable and unable to discharge. Since improvement of growth cone navigation and reduction of the ephaptic cross-talk between axons turn out be very difficult, the authorsa concentrated on the third detrimental component and proposed that an intensification of the trigeminal input to axotomized electrophysiologically silent facial motoneurons might improve specificity of reinnervation. To test the hypothesis they compared behavioral, electrophysiological and morphological parameters after single reconstructive surgery on the facial nerve with those obtained after identical facial nerve surgery, but combined with direct or indirect stimulation of the ipsilateral infraorbital (ION) nerve. The authors found that in all cases trigeminal stimulation was beneficial for the outcome by improving the quality of target reinnervation and recovery of vibrissal motor performance.

Today's administrators need to understand why, when, where, and how to market their schools to continue to serve their communities in the rapidly-changing educational climate. This book will highlight effective and tangible marketing practices for k-12 educators. The book is envisioned to be very reader friendly and offer practical solutions to current challenges that school leaders are facing. The authors envision school leaders being able to open the book and start applying the information. The book offers ideas and solutions to marketing challenges both big and small. It will also walk administrators through the process of establishing a marketing plan specific to educational contexts, help them navigate their competitive environment, and address marketing communication issues ranging from social media to crisis planning.

The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms.

This book will provide students in graduate level educational leadership courses a theoretical perspective on best practices in educational marketing. Additionally, veteran school leaders that want to become more savvy in the new competitive educational landscape will find the book helpful in making decisions that are both theoretically and strategically sound specific to marketing will find this book a go to support. Examples of effective best practice via real world case studies, as well as debrief questions and assignment examples for further discussion and learning will be provided.

Facial nerve surgery inevitably leads to partial pareses, abnormally associated movements and pathologically altered reflexes. The reason for this "post-paralytic syndrome" is the misdirected reinnervation of targets, which consists of two major components. First, due to malfunctioning axonal guidance, a muscle gets reinnervated by a "foreign" axon, that has been misrouted along a "wrong" fascicle. Second, the supernumerary collateral branches emerging from all transected axons simultaneously innervate antagonistic muscles and cause severe impairment of their coordinated activity. Since it is hardly possible to influence the first major component and improve the guidance of several thousands axons, the authors concentrated on the second major component and tried to reduce the collateral axonal branching.

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 77 Subject Index. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 89 XI 1 Introduction 1.1 Antigen Presentation and Antigen Presenting Cells A key issue in the pathogenesis of any chronic degenerative (auto )immune disease of the central nervous system (CNS) is how pathologically altered autologous neuronal proteins can trigger a reaction of the immune system. The specific and greatly multi plied immune response is decisive for the outcome of the disease. Current knowledge shows that the immune system gets involved and potentiates a progressive neuronal degeneration in two ways, which are not mutually exclusive. First, provided the immunogenic autologous protein occurs in the interstitial fluid of CNS in amounts which cannot be phagocytized and cleared by the leptomeningeal macrophages, it reaches the cervical lymph nodes passively along the perivascular spaces, the cerebrospinal fluid compartment above the cribriform plate, and the lymphatics of the nasal mucosa (Cserr and Ostrach 1974; Weller et al. 1992; Zhang et al. 1992; Kida et al. 1993). The immunological significance of this "late" pathway typical for advanced neurodegeneration has been confirmed by Harling-Berg et al. (1989), who showed that the cervical lymph nodes are the main site of antibody production against foreign protein injected into the central gray matter of the rat brain."

Due to the changing competitive landscape in education, it becomes vital for aspiring school leaders to understand how families select schools for their children. Families today shop for a school in a manner consistent with how they research a new appliance or automobile prior to purchase. Unfortunately, many public schools are unprepared to assist families in this decision-making process. Public schools need to become aware of the changing dynamics of education, understand the reasons for telling others about what they do, and then develop a comprehensive and coherent strategy for successfully marketing their program. That is the purpose of this book. Marketing Management for School Leaders: The Theory and Practice for Effective Educational Practice will provide educational leadership students a theoretical understanding of marketing to equip them with sound principles upon which they can build actionable strategies in their professional practice.

A comprehensive textbook for students and handbook for professionals that covers every aspect of choreographic practice. Choreography is a core unit on every dance BA and BfA degree in the UK and US. This book stands out from the competition by fully integrating theory and practice, as well as being the best available textbook on collaboration within within and outside of the field of dance. The author is the executive director of Dance ICONs Inc, with 15,000 monthly Facebook views and 5000 direct email contacts.

Today's administrators need to understand why, when, where, and how to market their schools to continue to serve their communities in the rapidly-changing educational climate. This book will highlight effective and tangible marketing practices for k-12 educators. The book is envisioned to be very reader friendly and offer practical solutions to current challenges that school leaders are facing. The authors envision school leaders being able to open the book and start applying the information. The book offers ideas and solutions to marketing challenges both big and small. It will also walk administrators through the process of establishing a marketing plan specific to educational contexts, help them navigate their competitive environment, and address marketing communication issues ranging from social media to crisis planning.

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.