Bound By Recognition
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📒Bound By Recognition ✍ Patchen Markell
✏Bound by Recognition Book Summary : In an era of heightened concern about injustice in relations of identity and difference, political theorists often prescribe equal recognition as a remedy for the ills of subordination. Drawing on the philosophy of Hegel, they envision a system of reciprocal knowledge and esteem, in which the affirming glance of others lets everyone be who they really are. This book challenges the equation of recognition with justice. Patchen Markell mines neglected strands of the concept's genealogy and reconstructs an unorthodox interpretation of Hegel, who, in the unexpected company of Sophocles, Aristotle, Arendt, and others, reveals why recognition's promised satisfactions are bound to disappoint, and even to stifle. Written with exceptional clarity, the book develops an alternative account of the nature and sources of identity-based injustice in which the pursuit of recognition is part of the problem rather than the solution. And it articulates an alternative conception of justice rooted not in the recognition of identity of the other but in the acknowledgment of our own finitude in the face of a future thick with surprise. Moving deftly among contemporary political philosophers (including Taylor and Kymlicka), the close interpretation of ancient and modern texts (Hegel's Phenomenology, Aristotle's Poetics, and more), and the exploration of rich case studies drawn from literature (Antigone), history (Jewish emancipation in nineteenth-century Prussia), and modern politics (official multiculturalism), Bound by Recognition is at once a sustained treatment of the problem of recognition and a sequence of virtuoso studies.
✏Recognition Sovereignty Struggles and Indigenous Rights in the United States Book Summary : This engaging collection surveys and clarifies the complex issue of federal and state recognition for Native American tribal nations in the United States. Den Ouden and O'Brien gather focused and teachable essays on key topics, debates, and case studies. Written by leading scholars in the field, including historians, anthropologists, legal scholars, and political scientists, the essays cover the history of recognition, focus on recent legal and cultural processes, and examine contemporary recognition struggles nationwide. Contributors are Joanne Barker (Lenape), Kathleen A. Brown-Perez (Brothertown), Rosemary Cambra (Muwekma Ohlone), Amy E. Den Ouden, Timothy Q. Evans (Haliwa-Saponi), Les W. Field, Angela A. Gonzales (Hopi), Rae Gould (Nipmuc), J. Kehaulani Kauanui (Kanaka Maoli), K. Alexa Koenig, Alan Leventhal, Malinda Maynor Lowery (Lumbee), Jean M. O'Brien (White Earth Ojibwe), John Robinson, Jonathan Stein, Ruth Garby Torres (Schaghticoke), and David E. Wilkins (Lumbee).
📒Pattern Recognition ✍ M. Narasimha Murty
✏Pattern Recognition Book Summary : Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.
✏Principles of Bacterial Detection Biosensors Recognition Receptors and Microsystems Book Summary : Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems will cover the up-to-date biosensor technologies used for the detection of bacteria. Written by the world's most renowned and learned scientists each in their own area of expertise, Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems is the first title to cover this expanding research field.
📒Recognition In International Law ✍ Hersch Lauterpacht
✏Recognition in International Law Book Summary : Originally published by Hersch Lauterpacht in 1947, this book presents a detailed study of recognition in international law, examining its crucial significance in relation to statehood, governments and belligerency. The author develops a strong argument for positioning recognition within the context of international law, reacting against the widely accepted conception of it as an area of international politics. Numerous examples of the use of law and conscious adherence to legal principle in the practice of states are used to give weight to this perspective. This paperback re-issue in 2012 includes a newly commissioned Foreword by James Crawford, Whewell Professor of International Law at the University of Cambridge and a Fellow of Jesus College, Cambridge.
✏Recognition in International Law Book Summary :
✏Immunological Recognition of Peptides in Medicine and Biology Book Summary : Immunological Recognition of Peptides in Medicine and Biology gives a state-of-the-art overview on the use of peptides and peptide-ligand interactions, and the critical role they play in recognition patterns for the regulation of various biological functions. A wide range of applications are discussed, including some experimental preclinical ones such as epitope mapping, peptide libraries, and production of amino acid-specific antibodies and their therapeutic use in oncology and infectious disease vaccines. Each chapter also includes step-by-step protocols to aid in actual experiments. Several alternative techniques and strategies are discussed by different authors offering the reader an opportunity to select the most favorable application for a specific biological problem.
📒Pattern Recognition In Bioinformatics ✍ Madhu Chetty
✏Pattern Recognition in Bioinformatics Book Summary : In the post-genomic era, a holistic understanding of biological systems and p- cesses,inalltheircomplexity,is criticalincomprehendingnature’schoreography of life. As a result, bioinformatics involving its two main disciplines, namely, the life sciences and the computational sciences, is fast becoming a very promising multidisciplinary research ?eld. With the ever-increasing application of lar- scalehigh-throughputtechnologies,suchasgeneorproteinmicroarraysandmass spectrometry methods, the enormous body of information is growing rapidly. Bioinformaticians are posed with a large number of di?cult problems to solve, arising not only due to the complexities in acquiring the molecular infor- tion but also due to the size and nature of the generated data sets and/or the limitations of the algorithms required for analyzing these data. Although the ?eld of bioinformatics is still in its embryonic stage, the recent advancements in computational and information-theoretic techniques are enabling us to c- ductvariousinsilicotestingandscreeningofmanylab-basedexperimentsbefore these are actually performed in vitro or in vivo. These in silico investigations are providing new insights for interpretation and establishing a new direction for a deeper understanding. Among the various advanced computational methods currently being applied to such studies, the pattern recognition techniques are mostly found to be at the core of the whole discovery process for apprehending the underlying biological knowledge. Thus, we can safely surmise that the - going bioinformatics revolution may, in future, inevitably play a major role in many aspects of medical practice and/or the discipline of life sciences.
📒Dynamic Force Spectroscopy And Biomolecular Recognition ✍ Anna Rita Bizzarri
✏Dynamic Force Spectroscopy and Biomolecular Recognition Book Summary : Molecular recognition, also known as biorecognition, is the heart of all biological interactions. Originating from protein stretching experiments, dynamic force spectroscopy (DFS) allows for the extraction of detailed information on the unbinding process of biomolecular complexes. It is becoming progressively more important in biochemical studies and is finding wider applications in areas such as biophysics and polymer science. In six chapters, Dynamic Force Spectroscopy and Biomolecular Recognition covers the most recent ideas and advances in the field of DFS applied to biorecognition: Chapter 1: Reviews the basic and novel aspects of biorecognition and discusses the emerging capabilities of single-molecule techniques to disclose kinetic properties and molecular mechanisms usually hidden in bulk measurements Chapter 2: Describes the basic principle of atomic force microsocopy (AFM) and DFS, with particular attention to instrumental and theoretical aspects more strictly related to the study of biomolecules Chapter 3: Overviews the theoretical background in which experimental data taken in nonequilibrum measurements of biomolecular unbinding forces are extrapolated to equilibrium conditions Chapter 4: Reviews the most common and efficient strategies adopted in DFS experiments to immobilize the interacting biomolecules to the AFM tip and to the substrate Chapter 5: Presents and discusses the most representative aspects related to the analysis of DFS data and the challenges of integrating well-defined criteria to calibrate data in automatic routinary procedures Chapter 6: Overviews the most relevant DFS applications to study biorecognition processes, including the biotin/avidin pair, and selected results on various biological complexes, including antigen/antibody, proteins/DNA, and complexes involved in adhesion processes Chapter 7: Summarizes the main results obtained by DFS applied to study biorecognition processes with forthcoming theoretical and experimental advances Although DFS is a widespread, worldwide technique, no books focused on this subject have been available until now. Dynamic Force Spectroscopy and Biomolecular Recognition provides the state of the art of experimental data analysis and theoretical procedures, making it a useful tool for researchers applying DFS to study biorecognition processes.
📒Graph Based Representations In Pattern Recognition ✍ Francisco Escolano
✏Graph Based Representations in Pattern Recognition Book Summary : This book constitutes the refereed proceedings of the 6th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2007, held in Alicante, Spain in June 2007. The 23 revised full papers and 14 revised poster papers presented were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on matching, distances and measures, graph-based segmentation and image processing, graph-based clustering, graph representations, pyramids, combinatorial maps and homologies, as well as graph clustering, embedding and learning.