Lifting Modules : Supplements and Projectivity in Module Theory
Extending modules are generalizations of injective modules and, dually, lifting modules generalize projective supplemented modules. There is a certain asymmetry in this duality. While the theory of extending modules is well documented in monographs and text books, the purpose of our monograph is to provide a thorough study of supplements and projectivity conditions needed to investigate classes of modules related to lifting modules. The text begins with an introduction to small submodules, the radical, variations on projectivity, and hollow dimension. The subsequent chapters consider preradicals and torsion theories (in particular related to small modules), decompositions of modules (including the exchange property and local semi-T-nilpotency), supplements in modules (with specific emphasis on semilocal endomorphism rings), finishing with a long chapter on lifting modules, leading up their use in the theory of perfect rings, Harada rings, and quasi-Frobenius rings.
Lifetime Spectroscopy : A Method of Defect Characterization in Silicon for Photovoltaic Applications
Lifetime spectroscopy is one of the most sensitive diagnostic tools for the identification and analysis of impurities in semiconductors. Since it is based on the recombination process, it provides insight into precisely those defects that are relevant to semiconductor devices such as solar cells. This book introduces a transparent modeling procedure that allows a detailed theoretical evaluation of the spectroscopic potential of the different lifetime spectroscopic techniques. The various theoretical predictions are verified experimentally with the context of a comprehensive study on different metal impurities. The quality and consistency of the spectroscopic results, as explained here, confirms the excellent performance of lifetime spectroscopy.
Lifelong Learning - Signs, Discourses, Practices
This text explores the different ways in which the various social practices in which people participate becomes signed as learning, how and why that occurs and with what consequences. It takes seriously the linguistic turn in social theory to draw upon semiotics and poststructuralism through which to explore the significance of lifelong learning as an emerging discourse in education. The text explores the different ways in which learning conveys meaning and is given meaning. Given this, lifelong learning therefore is a way, and a significant way, in which learning is fashioned. The text then explores the notion that, if learning is lifelong and lifewide, what precisely is learning as distinct from other social practices and how those practices are given meaning as learning.
Lie Theory Vol.229 : Unitary Representations and Compactifications of Symmetric Spaces
It focuses on two fundamental questions in the theory of semisimple Lie groups: the geometry of Riemannian symmetric spaces and their compactifications; and branching laws for unitary representations, i.e., restricting unitary representations to (typically, but not exclusively, symmetric) subgroups and decomposing the ensuing representations into irreducibles.Ji's introductory chapter motivates the subject of symmetric spaces and their compactifications with carefully selected examples. A discussion of Satake and Furstenberg boundaries and a survey of the geometry of Riemannian symmetric spaces in general provide a good background for the second chapter, namely, the Borel–Ji authoritative treatment of various types of compactifications useful for studying symmetric and locally symmetric spaces. Borel–Ji further examine constructions of Oshima, De Concini, Procesi, and Melrose, which demonstrate the wide applicability of compactification techniques. Kobayashi examines the important subject of branching laws. Important concepts from modern representation theory, such as Harish–Chandra modules, associated varieties, microlocal analysis, derived functor modules, and geometric quantization are introduced. Concrete examples and relevant exercises engage the reader.
Lie Groups : An Approach through Invariants and Representations
Lie groups has been an increasing area of focus and rich research since the middle of the 20th century. Procesi's masterful approach to Lie groups through invariants and representations gives the reader a comprehensive treatment of the classical groups along with an extensive introduction to a wide range of topics associated with Lie groups: symmetric functions, theory of algebraic forms, Lie algebras, tensor algebra and symmetry, semisimple Lie algebras, algebraic groups, group representations, invariants, Hilbert theory, and binary forms with fields ranging from pure algebra to functional analysis.
Leptin
The discovery of leptin little more than a decade ago, as a hormone produced in white adipose tissue with an important role in satiety and energy expenditure, was a seminal event in our understanding of adiposity. This initial advance in the new endocrinology of obesity was soon followed by the realization that leptin was not only produced in adipose tissue, but in many different tissues of the body, and that receptors were similarly distributed. Additionally, the early recognition of infertility that was associated with leptin deficiency prompted research that identified roles for the polypeptide in virtually every area of reproductive biology.
Lectures on Quantum Mechanics
Presents theoretical physics with a breathtaking array of examples and anecdotes. Basdevant's style is clear and stimulating, in the manner of a brisk classroom lecture that students can follow with ease and enjoyment.
Learning Theory ; Vol. 4005 ; 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings
Constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA in June 2006. The 43 revised full papers presented together with 2 articles on open problems and 3 invited lectures were carefully reviewed and selected from a total of 102 submissions. The papers cover a wide range of topics including clustering, un- and semisupervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, learning algorithms and limitations on learning, online aggregation, online prediction and reinforcement learning.
Learning theory ; 20th Annual Conference on Learning theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings
It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems.
Learning About Particles - 50 Privileged Years
Embedded in an autobiographic framework, this book retraces vividly and in some depth the golden years of particle physics as witnessed by one of the scientists who made seminal contributions to the understanding of what is now known as the Standard Model of particle physics. Well beyond a survey of interest to historians of sciences and researchers in the field, this book is a must for all students and young researchers who have learned about the theoretical and experimental facts that make up the standard model through modern textbooks only. It will provide the interested reader with a first hand account and deeper understanding of the multilayered and sinuous development that finally led to the present architecture of this theory.
Lattices and Ordered Algebraic Structures
Lattices and Ordered Algebraic Structures provides a lucid and concise introduction to the basic results concerning the notion of an order. Although as a whole it is mainly intended for beginning postgraduates, the prerequisities are minimal and selected parts can profitably be used to broaden the horizon of the advanced undergraduate. The treatment is modern, with a slant towards recent developments in the theory of residuated lattices and ordered regular semigroups.
Lateral Alignment of Epitaxial Quantum Dots
Accurate positioning of self-organized nanostructures on a substrate surface can be regarded as the Achilles’ heel of nanotechnology. This perception also applies to self-assembled semiconductor quantum dots. This book describes the full range of possible strategies to laterally align self-assembled quantum dots on a substrate surface, starting from pure self-ordering mechanisms and culminating with forced alignment by lithographic positioning. The text addresses both short- and long-range ordering phenomena and paves the way for the future high integration of single quantum dot devices on a single chip. Contributions by the best-known experts in this field ensure that all relevant quantum-dot heterostructures are elucidated from diverse relevant perspectives.
Language, Meaning, Interpretation
Philosophy of logic and language, and of meaning and communication are central to this volume. The discussion of these issues involves analytical approaches, including semantics and semiotics, philosophy of science, mathematical logic, phenomenology, hermeneutics and some aspects of philosophical anthropology and aesthetics. Philosophy of the Absolute also belongs to this broad repertoire of philosophical problems and disciplines. A number of problems and viewpoints derive from the metaphysical system; any relativistic view on ethical values, for instance, makes sense in relation to some absolute. Metaphysical system building may have come to an end, but after all it belongs to philosophy to remind us of our past.
Language and Automata Theory and Applications ; 2nd International Conference, LATA 2008, Tarragona, Spain, March 13-19, 2008. Revised Papers
This book constitutes the refereed proceedings of the Second International Conference on Language and Automata Theory and Applications, LATA 2008, held in Tarragona, Spain, in March 2008.The 40 revised full papers presented were carefully reviewed and selected from 134 submissions. The papers deal with the various issues related to automata theory and formal languages
La riabilitazione dei disturbi cognitivi nella sclerosi multipla = The rehabilitation of cognitive disorders in multiple sclerosis
Multiple sclerosis is one of the most frequent causes of chronic disability in young adults. It mainly affects individuals between 20 and 50 years of age, with a peak of incidence around the age of 30. This disease is characterized by the presence of demyelinating lesions of an inflammatory nature disseminated in the central nervous system. The different localization of these lesions is at the basis of the variability of clinical symptoms which can be characterized by motor, sensory, neurovegetative and cognitive disorders. The latter concern about half of the patients affected by this pathology and have a significant impact on the personal, family and work situation of these patients.
Knowledge Sharing in the Integrated Enterprise : Interoperability Strategies for the Enterprise Architect
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Knowledge Management for Educational Innovation ; IFIP WG 3.7 7th Conference on Information Technology in Educational Management (ITEM), Hamamatsu, Japan, July 23-26, 2006
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Knowledge Discovery from XML Documents ; 1st International Workshop, KDXD 2006, Singapore, April 9, 2006, Proceedings
The KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006. The workshop provided an important forum for the dissemination and exchange of new ideas and research related to XML data discovery and retrieval. The eXtensible Markup Language (XML) has become a standard language for data representation and exchange. With the continuous growth in XML data sources,the ability to manage collections of XML documents and discover knowledge from them for decision support becomes increasingly important. Due to the inherent ?exibility ofXML, in both structure and semantics, inferring important knowledge from XML data is faced with new challenges as well as bene?ts. The objective of the workshop was to bring together researchers and practitioners to discuss all aspects of the emerging XML data management challenges.
Knowledge and Civil Society
Focuses on the role of civil society in the creation, dissemination, and interpretation of knowledge in geographical contexts. It offers original, interdisciplinary and counterintuitive perspectives on civil society. The book includes reflections on civil and uncivil society, the role of civil society as a change agent, and on civil society perspectives of undone science. Conceptual approaches go beyond the tripartite division of public, private and civic sectors to propose new frameworks of civic networks and philanthropic fields, which take an inclusive view of the connectivity of civic agency across sectors.
Kernel Based Algorithms for Mining Huge Data Sets : Supervised, Semi-supervised, and Unsupervised Learning
"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA).



















