Skisport

This insightful volume examines the politics and contestations around urban space in India's national capital, Delhi. Moving beyond spectacular megaprojects and sites of consumption, this book engages with ordinary space and everyday life. Sites and communities analysed in this volume reveal the processes, relations, and logics through which the city's grand plans are executed. The contributors argue that urbanization is negotiated and muddled, particularly in the spaces occupied by informal labour, resettled communities, and small-scale investors. The critical analyses in this volume shed light on the disjunctures between planning and ideology, narratives of growth and realities of immobility, and facades of modernity and the spaces and practices produced in its pursuit. The book is organized in four parts - (I) Dis/locating Bodies, (II) Claims at the Urban Frontier, (III) Informalization and Investment, and (IV) Gendered Mobility. The studies report current empirical work from a variety of sites, investigating the dynamics of capital investment, state planning and citizen response in these spaces. These studies, set in ordinary spaces in Delhi, reveal a subliminal disarray of thought and action, stemming from the impetus to make the city attractive to capital, while having to manage marginality and reorganize welfare functions. The volume provides fresh insights into the nature of urban planning and governance in an Indian megacity two decades after the neoliberal shift.

This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions that allow for adaptation to different models and real world applications.The models are highly attractive due to their compactness and comprehensibility but learning their structure is computationally intensive. To combat this problem, the authors review the use of functional gradients for boosting the structure and the parameters of statistical relational models. The algorithms have been applied successfully in several SRL settings and have been adapted to several real problems from Information extraction in text to medical problems. Including both context and well-tested applications, Boosting Statistical Relational Learning from Benchmarks to Data-Driven Medicine is designed for researchers and professionals in machine learning and data mining. Computer engineers or students interested in statistics, data management, or health informatics will also find this brief a valuable resource.

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines. Each data set (1) contains a limited number of observations to encourage readers to do the calculations themselves, and (2) tells a coherent story based on statistical significance and confidence intervals. In this way, students will learn how the numbers were generated and how they can be used to make cogent arguments about everyday matters. This textbook is designed for use in upper level undergraduate courses or first year graduate courses.The first chapter introduces students to linear equations, then covers matrix algebra, focusing on three essential operations: sum of squares, the determinant, and the inverse. These operations are explained in everyday language, and their calculations are demonstrated using concrete examples. The remaining chapters build on these operations, progressing from simple linear regression to mediational models with bootstrapped standard errors.

This comprehensive volume is the first to specifically target developing, adult and diseased neural stem cells. It explores recent advances in the understanding of neural stem cell biology along with strategies that use these cells to tackle neurological diseases and brain aging. Ten inclusive chapters discuss a wide range of topics including neurogenesis, neurodegeneration, demyelinating disease, mood regulation, and spinal cord regeneration, among others.Written by world-renowned scientists in the field, Neural Stem Cells in Development, Adulthood and Disease presents cutting-edge studies of interest to both established neurogenesis researchers and readers with general interests in nervous system science. It is an authoritative addition to the Stem Cell Biology and Regenerative Medicine series.

The thread of self-organization which is now recognized as permeating many dynamical transformations in diverse systems around us seems set to unleash a revolution as influential as that of Darwin in the last century. Darwin removed the 'originator' of a species; self-organization now seeks to remove the 'organizer' from an organism. Methods of nonlinear dynamics have played a crucial role in opening up this field and if these methods have a progenitor it is Henri Poi~care (1854 - 1912) whose first substantial compilation amongst his prolific productio~ was Les Methodes Nouvelles de la Mecanique Celeste, Vol 1. Thi~ work'aplleared in Paris in 1892, a century ago, thus offering us the opportunity to celebrate a centenary of this extraordinary revolutionary of science: M~:of. ~he ex;tensive contributions of Poincare helped to lay the foundation of this field of nonlinear dynamics, for _e. xam*lI~e mai:hematic~l theory of . dillJ. ensions~ . ( qualita. tively) global aspects of ph~ ~~c~ d~~~ics, topological analysis, . fiXed. pbiilt theo­ rems, bifurcation COIiC~l?ts :{~o ?e u~d later for example for Andronov-Poincare bifurcation), diffe~!:. Iice' equation mappings in phase spa

Reflecting over three decades of advances, Epidermal Cells: Methods and Protocols, Third Edition underscores these advances in our understanding of epidermal biology with updated and entirely new protocols that compliment and extend the earlier edition. The inclusion of protocols useful for both in vitro and in vivo studies reflects many useful developments in the field. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and tips on troubleshooting and avoiding known pitfalls.Dependable and easy to follow, Epidermal Cells: Methods and Protocols, Third Edition serves researchers working to accelerate the work in this vital field of study.

Updating and building upon previous editions, Hematopoietic Stem Cell Protocols, Third Edition provides up-to-date protocols from leading stem cell researchers. This in-depth volume presents a clear view of the landscape of assays available to the stem cell researcher working in the growing hematopoietic stem cell (HSC) field. A robust and active field, it is supported by an abundance of innovative mouse models and molecular tools for analysis of phenotypes and functions in mouse and human cells. Understanding more about hematopoietic stem cell biology is integral if these versatile cells are to be applied effectively to treat and cure a wide range of blood diseases. An introductory chapter puts the major contributions of the book into the proper perspective. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.Essential for the laboratory-based researcher, Hematopoietic Stem Cell Protocols, Third Edition is a much needed technical resource in the critically important field of hematopoietic stem cell investigation.

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people's minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems.

¿¿Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text.The ¿real world¿ scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language.This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.

All models are lies. "e;The Earth orbits the sun in an ellipse with the sun at one focus"e; is false, but accurate enough for almost all purposes. This book describes the current state of the art of telling useful lies about time-varying systems in the real world. Specifically, it is about trying to "e;understand"e; (that is, tell useful lies about) dynamical systems directly from observa- tions, either because they are too complex to model in the conventional way or because they are simply ill-understood. B(:cause it overlaps with conventional time-series analysis, building mod- els of nonlinear dynamical systems directly from data has been seen by some observers as a somewhat ill-informed attempt to reinvent time-series analysis. The truth is distinctly less trivial. It is surely impossible, except in a few special cases, to re-create Newton's astonishing feat of writing a short equation that is an excellent description of real-world phenomena. Real systems are connected to the rest of the world; they are noisy, non- stationary, and have high-dimensional dynamics; even when the dynamics contains lower-dimensional attractors there is almost never a coordinate system available in which these at tractors have a conventionally simple description.

Im Pulverschnee an steilen Bergflanken, in engen Couloirs abwärts schwingen und sich zwischen Felsen den Weg nach unten suchen. Diese Träume aus zahlreichen Skifilmen werden als kompakter Führer mit ausführlichen Routenbeschreibungen präsentiert.Sehr steile Flanken brauchen neben genauen Toureninfos auch optimale Verhältnisse, da es diese aber nicht an jedem Tourentag gibt, haben die Autoren neben der Extremroute zusätzlich eine leichtere Skitour auf den gleichen Gipfel beschrieben. Diese leichten Anstiege sind meistens auch anfängerfreundlich und ermöglichen dem nicht ganz so versierten Skitourengeher den höchsten Punkt zu erreichen.Der versierte Skitourengeher bekommt mit diesem Buch einen schönen Überblick über die steileren Abfahrtsmöglichkeiten. Um die Auswahl besser verständlich zu machen, wurde das Bewertungssystem ausgeweitet. Neben der skitechnischen Schwierigkeit werden auch das nötige alpinistische Können und das mit jeder Steilwandbefahrung verbundene Risiko angegeben. Detaillierte Routenbeschreibungen, Übersichtsbilder der zu befahrenden Steilhänge und Rinnen, Landkarten mit eingezeichneten Linien für den Aufstieg bzw. die Abfahrt in sehr guter Qualität. Zusätzlich gibt es die Möglichkeit, die Tracks der jeweiligen Routen via Internet von der Verlagswebseite www.alpinverlag.at als Download zu beziehen.Der Ski Extrem Guide ist somit ein Buch, in dem man vor allem Toureninformationen findet, die in normalen Skitourenführern fast komplett ausgeklammert sind - für den versierten Skitourengeher und den ambitionierten Freerider das Tourenplanungstool schlechthin.

Das Handbuch bietet erstmals eine systematische Darstellung der Staatshaftungssysteme in den EU-Mitgliedstaaten sowie in der Schweiz und der Türkei. Gemeinsamkeiten und Unterschiede in den verschiedenen Rechtsordnungen der europäischen Staaten werden aufgezeigt, in den Kontext des Unionsrechts gestellt und Ansätze für ein künftig einheitliches Staatshaftungsrecht skizziert. Das Werk enthält zum einen mehr als zwanzig Berichte über die Staatshaftungsregimes in den Einzelstaaten; zum anderen erläutert ein übergreifender Sachbericht den gesamteuropäischen Kontext und zieht vergleichende Schlussfolgerungen zu den einzelnen Sachthemen. Aus der Zusammenschau der nationalen Staatshaftungssysteme mit dem Stand der richterrechtlich entwickelten Unionshaftung wird das Staatshaftungsrecht in der EU umfassend analysiert sowie seine Entwicklungsmöglichkeiten auf der Grundlage allgemeiner Rechtsgrundsätze bestimmt.sätze bestimmt.

This book documents research conducted on the analysis of urban growth and sprawl by using remote sensing data and GIS techniques. The research was conducted between 1980-2010 in the city of Kolkata, India. The aim of the research was to use metrics that were less demanding in terms of data and computation than normal metrics. However, it has been found that most of them were inferior in capturing insights of urban sprawl. For this book, some of these metrics have therefore been modified and new ones are proposed. The research focuses on problems associated with the analysis of urban growth by using remote sensing data from a technological perspective.

Calcium is crucial in governing contractile activities of myofilaments in cardiomyocytes, any defeats in calcium homeostasis of the cells would adversely affect heart pumping action. The characterization of calcium handling properties in human induced pluripotent stem cell-derived cardiomyocytes (iPS-CMCs) is of significant interest and pertinent to the stem cell and cardiac regenerative field because of their potential patient-specific therapeutic use.

Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of "e;future dangerousness"e; to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, "e;risk assessments"e; of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are considered with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies.

The book "TransMath - Innovative Solutions from Mathematical Technology" has been conceived as a tool for the dissemination of scientific knowledge. This publication is addressed to those companies with innovation needs that could be met through mathematical technology.The book maps both existing and possible interactions and connections that enable technology transfer between Spanish mathematical research and industrial and business sectors. Businesses can determine the level of implementation and demand for such technology within their sector and understand the benefits and innovations achieved in other companies and industries with the application of mathematical techniques.The information is classified into eleven sectors of economic activity: Biomedicine & Health; Construction; Economics & Finance; Energy & Environment; Food; ICT; Logistics & Transport; Management & Tourism; Metal & Machinery; Public Administration; and Technical Services.

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System-on-a-chip (SoC) designs result in a wide range of high-complexity, high-value semiconductor products. As the technology scales towards smaller feature sizes and chips grow larger, a speed limitation arises due to an in­ creased RC delay associated with interconnection wires. Innovative circuit techniques are required to achieve the speed needed for high-performance signal processing. Current sensing is considered as a promising circuit class since it is inherently faster than conventional voltage sense amplifiers. How­ ever, especially in SRAM, current sensing has rarely been used so far. Practi­ cal implementations are challenging because they require sophisticated analog circuit techniques in a digital environment. The objective of this book is to provide a systematic and comprehen­ sive insight into current sensing techniques. Both theoretical and practical aspects are covered. Design guidelines are derived by systematic analysis of different circuit principles. Innovative concepts like compensation of the bit­ line multiplexer and auto-power-down will be explained based on theory and experimental results. The material will be interesting for design engineers in industry as well as researchers who want to learn about and apply current sensing techniques. The focus is on embedded SRAM but the material presented can be adapted to single-chip SRAM and to any other current-providing memory type as well. This includes emerging memory technologies like magnetic RAM (MRAM) and Ovonic Unified Memory (OUM). Moreover, it is also applicable to array­ like structures such as CMOS camera chips and to circuits for signal trans­ mission along highly capacitive busses.

This is the first monograph devoted to investigation of the most complex physical processes of soft systems, including a wide class of solutions. It blends modern theoretical understanding and experimental results, proposing new methods and models for the description of several soft systems.

Im Auftrag des Friedrich-Meinecke-Instituts der Freien Universität Berlin herausgegeben von Hans Herzfeld und Walther Hofer (Band 1-9). Für Band 10 herausgegeben von Gisela Bock, Jürgen Kocka und Gerhard A. Ritter.