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Visualization and Imputation of Missing Values: With Applications in R (Statistics and Computing)
by Matthias TemplThis book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand.The material covered includes the pre-analysis of data, visualization of missing values in incomplete data, single and multiple imputation, deductive imputation and outlier replacement, model-based methods including methods based on robust estimates, non-linear methods such as tree-based and deep learning methods, imputation of compositional data, imputation quality evaluation from visual diagnostics to precision measures, coverage rates and prediction performance and a description of different model- and design-based simulation designs for the evaluation. The book also features a topic-focused introduction to R and R code is provided in each chapter to explain the practical application of the described methodology. Addressed to researchers, practitioners and students who work with incomplete data, the book offers an introduction to the subject as well as a discussion of recent developments in the field. It is suitable for beginners to the topic and advanced readers alike.
Visualization and Processing of Higher Order Descriptors for Multi-Valued Data
by Ingrid Hotz Thomas SchultzModern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the successful use of higher-order descriptors in specific applications and a glimpse of the next generation of diffusion MRI. To do so, it combines contributions on new developments, current challenges in this area and state-of-the-art surveys. Compared to the increasing importance of higher-order descriptors in a range of applications, tools for analysis and processing are still relatively hard to come by. Even though application areas such as medical imaging, fluid dynamics and structural mechanics are very different in nature they face many shared challenges. This book provides an interdisciplinary perspective on this topic with contributions from key researchers in disciplines ranging from visualization and image processing to applications. It is based on the 5th Dagstuhl seminar on Visualization and Processing of Higher Order Descriptors for Multi-Valued Data. This book will appeal to scientists who are working to develop new analysis methods in the areas of image processing and visualization, as well as those who work with applications that generate higher-order data or could benefit from higher-order models and are searching for novel analytical tools.
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
by Carl-Fredrik Westin Anna Vilanova Bernhard BurgethArising from the fourth Dagstuhl conference entitled Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data (2011), this book offers a broad and vivid view of current work in this emerging field. Topics covered range from applications of the analysis of tensor fields to research on their mathematical and analytical properties. Part I, Tensor Data Visualization, surveys techniques for visualization of tensors and tensor fields in engineering, discusses the current state of the art and challenges, and examines tensor invariants and glyph design, including an overview of common glyphs. The second Part, Representation and Processing of Higher-order Descriptors, describes a matrix representation of local phase, outlines mathematical morphological operations techniques, extended for use in vector images, and generalizes erosion to the space of diffusion weighted MRI. Part III, Higher Order Tensors and Riemannian-Finsler Geometry, offers powerful mathematical language to model and analyze large and complex diffusion data such as High Angular Resolution Diffusion Imaging (HARDI) and Diffusion Kurtosis Imaging (DKI). A Part entitled Tensor Signal Processing presents new methods for processing tensor-valued data, including a novel perspective on performing voxel-wise morphometry of diffusion tensor data using kernel-based approach, explores the free-water diffusion model, and reviews proposed approaches for computing fabric tensors, emphasizing trabecular bone research. The last Part, Applications of Tensor Processing, discusses metric and curvature tensors, two of the most studied tensors in geometry processing. Also covered is a technique for diagnostic prediction of first-episode schizophrenia patients based on brain diffusion MRI data. The last chapter presents an interactive system integrating the visual analysis of diffusion MRI tractography with data from electroencephalography.
Visualization Psychology
by Danielle Albers Szafir Rita Borgo Min Chen Darren J. Edwards Brian Fisher Lace PadillaThis book designates Visualization Psychology as an interdisciplinary subject. The book contains literature reviews and experimental works that exemplify a range of open questions at this critical intersection. It also includes discourses that envision how the subject may be developed in the coming years and decades. The field of visualization is a rich playground for discovering new knowledge in both visualization and psychology. As visualization techniques augment human cognition, these techniques must be developed and improved by building on theoretical, empirical and methodological knowledge from psychology. At the same time, visualization processes surface numerous phenomena about interactions between the human mind and digital entities, such as data, visual imagery, algorithms, and computer-generated predictions and recommendations. Visualization psychology is a new type of science in the making.
Visualize This
by Nathan YauPractical data design tips from a data visualization expert of the modern ageData doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan YauOffers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbersDetails tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and IllustratorContains numerous examples and descriptions of patterns and outliers and explains how to show themVisualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
Visualized Medicine: Emerging Techniques and Developing Frontiers (Advances in Experimental Medicine and Biology #1199)
by Zhe LiuThis book summarizes the recent advancements for visualized medicine in terms of fundamental principles, rapidly emerging techniques and developing frontiers. Especially with the combination of artificial intelligence (AI), medical imaging agents and medical robots, smart medical technologies have been innovated and applied to the clinical uses to serve the fatal human diseases diagnosis, treatment, prognosis and data analysis. This philosophy comprehensively revolutionizes the treatment strategy of human healthcare, and will enable precision medicine and precision surgery further intuitively detectable, smartly analyzable and accurately operational. This book will discuss and conclude: 1) state-of-the-art definition of visualized medicine; 2) advanced techniques and clinical applications of visualized medicine in the past decade; 3) novel frontiers and brand-new technologies, e.g. artificial intelligence (AI), surgical robots, etc. 4) revolutionary impacts on disease diagnosis, treatments and prognosis; 5) future challenges and perspectives.
Visualizing Data: Exploring and Explaining Data with the Processing Environment
by Ben FryEnormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you: The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.
Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
by Margot TollefsonMaster the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed. Visualizing Data in R 4 starts with an introduction and then is split into two parts and six appendices. Part I covers the function plot() and the ancillary functions you can use with plot(). You’ll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2. The default plots generated by the functions qplot() and ggplot() give more sophisticated-looking plots than the default plots done by plot() and are easier to use, but the function plot() is more flexible. Both plot() and ggplot() allow for many layers to a plot. The six appendices will cover plots for contingency tables, plots for continuous variables, plots for data with a limited number of values, functions that generate multiple plots, plots for time series analysis, and some miscellaneous plots. Some of the functions that will be in the appendices include functions that generate histograms, bar charts, pie charts, box plots, and heatmaps. What You Will Learn Use R to create informative graphics Master plot(), qplot(), and ggplot() Discover the canned graphics functions in stats and graphics Format plots generated by plot() and ggplot() Who This Book Is For Those in data science who use R. Some prior experience with R or data science is recommended.
Visualizing Data Patterns with Micromaps (Chapman & Hall/CRC Interdisciplinary Statistics)
by Daniel B. Carr Linda Williams PickleAfter more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design vari
Visualizing Financial Data
by Piotr Kaczmarek Julie RodriguezA fresh take on financial data visualization for greater accuracy and understanding Visualizing Financial Data shows you how to design dynamic, best-of-breed visualizations for better communication of financial data. This book provides a comprehensive set of visualizations tailored to the most common requirements for corporate financial reporting, as well as portfolio, mutual fund, and hedge fund management. This highly visual, full color book showcases a series of cases that push data communication conventions forward, demonstrating and contrasting traditional bar, line, and pie charts against more modern visual methods. The companion website features all of the visualizations discussed, and provides the underlying datasets that you can use to practice on your own or customize the visualizations for your own use. Get a fresh take on visualizations and insight you need to communicate financial data better than ever before. Expand the boundaries of data visualization conventions Optimize data communications, understanding, and disclosure Learn new approaches to traditional charts and visualizations Create exemplary visualizations Visualizing Financial Data shows you newer, better ways of communicating the full meaning of the data, to support efficient, timely, and effective decision-making.
Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects
by Priyanka VergadiaEasy-to-follow visual walkthrough of every important part of the Google Cloud Platform The Google Cloud Platform incorporates dozens of specialized services that enable organizations to offload technological needs onto the cloud. From routine IT operations like storage to sophisticated new capabilities including artificial intelligence and machine learning, the Google Cloud Platform offers enterprises the opportunity to scale and grow efficiently. In Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects, Google Cloud expert Priyanka Vergadia delivers a fully illustrated, visual guide to matching the best Google Cloud Platform services to your own unique use cases. After a brief introduction to the major categories of cloud services offered by Google, the author offers approximately 100 solutions divided into eight categories of services included in Google Cloud Platform: Compute Storage Databases Data Analytics Data Science, Machine Learning and Artificial Intelligence Application Development and Modernization with Containers Networking Security You’ll find richly illustrated flowcharts and decision diagrams with straightforward explanations in each category, making it easy to adopt and adapt Google’s cloud services to your use cases. With coverage of the major categories of cloud models—including infrastructure-, containers-, platforms-, functions-, and serverless—and discussions of storage types, databases and Machine Learning choices, Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects is perfect for every Google Cloud enthusiast, of course. It is for anyone who is planning a cloud migration or new cloud deployment. It is for anyone preparing for cloud certification, and for anyone looking to make the most of Google Cloud. It is for cloud solutions architects, IT decision-makers, and cloud data and ML engineers. In short, this book is for YOU.
Visualizing Graph Data
by Corey LanumSummaryVisualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyAssume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts.About the BookVisualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence.What's InsideTechniques for creating effective visualizationsExamples using the Gephi and KeyLines visualization packagesReal-world case studiesAbout the ReaderNo prior experience with graph data is required.About the AuthorCorey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe.Table of ContentsPART 1 - GRAPH VISUALIZATION BASICSGetting to know graph visualizationCase studiesAn introduction to Gephi and KeyLinesPART 2 VISUALIZE YOUR OWN DATAData modelingHow to build graph visualizationsCreating interactive visualizationsHow to organize a chartBig data: using graphs when there's too much dataDynamic graphs: how to show data over timeGraphs on maps: the where of graph visualization
Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See How You're Doing"
by Katherine Rowell Lindsay Betzendahl Cambria BrownThe only data visualization book written by and for health and healthcare professionals. In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear and compelling manner is paramount to success. However, they simply cannot find experienced people with the necessary qualifications. The quickest (and often the only) route to meeting this challenge is to hire smart people and train them. Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See how You're Doing" is a one-of-a-kind book for health and healthcare professionals to learn the best practices of data visualization specific to their field. It provides a high-level summary of health and healthcare data, an overview of relevant visual intelligence research, strategies and techniques to gather requirements, and how to build strong teams with the expertise required to create dashboards and reports that people love to use. Clear and detailed explanations of data visualization best practices will help you understand the how and the why. Learn how to build beautiful and useful data products that deliver powerful insights for the end user Follow along with examples of data visualization best practices, including table and graph design for health and healthcare data Learn the difference between dashboards, reports, multidimensional exploratory displays and infographics (and why it matters) Avoid common mistakes in data visualization by learning why they do not work and better ways to display the data Written by a top leader in the field of health and healthcare data visualization, this book is an excellent resource for top management in healthcare, as well as entry-level to experienced data analysts in any health-related organization.
Visualizing Law in the Age of the Digital Baroque: Arabesques & Entanglements
by Richard K SherwinVisualizing Law in the Age of the Digital Baroque explores the profound impact that visual digital technologies are having on the practice and theory of law. Today, lawyers, judges, and lay jurors face a vast array of visual evidence and visual argument. From videos documenting crimes and accidents to computer displays of their digital simulation, increasingly, the search for fact-based justice inside the courtroom is becoming an offshoot of visual meaning making. But when law migrates to the screen it lives there as other images do, motivating belief and judgment on the basis of visual delight and unconscious fantasies and desires as well as actualities. Law as image also shares broader cultural anxieties concerning not only the truth of the image but also the mimetic capacity itself, the human ability to represent reality. What is real, and what is simulation? This is the hallmark of the baroque, when dreams fold into dreams, like immersion in a seemingly endless matrix of digital appearances. When fact-based justice recedes, laws proliferate within a field of uncertainty. Left unchecked, this condition of ontological and ethical uneasiness threatens the legitimacy of law’s claim to power. Visualizing Law in the Age of the Digital Baroque offers a jurisprudential paradigm that is equal to the challenge that current cultural conditions present.
Visualizing Marketing: From Abstract to Intuitive (Palgrave Studies in Marketing, Organizations and Society)
by S. Umit KucukThis book focuses on marketing graphics, figures, and visual artifacts discussed in marketing theory in order to explain and discuss marketing concepts visually, and open a door to future predictions of the evolution of such marketing concepts. Marketing concepts are, by nature, abstract and there is a need for approaches that provide a clear picture of such concepts, along with concrete and hands-on knowledge tools to students, scholars, and practitioners. Furthermore, the recent rising importance and popularity of digital marketing tools and marketing metrics make visualization of such important marketing phenomena possible. Visualizing or concretizing of marketing data is more important than ever as the usage and presentation of such enormous amounts of data requires visual representation. Whereas the first edition focused on traditional marketing elements, namely the 4Ps or marketing mix elements, this edition includes a new section focusing on digital marketing, which introduces the 4Cs, defined as Connectivity, Content, Community and Commitment. Consequently, this edition provides a broader view of marketing concepts by also proposing a new conceptualization to today’s dynamically changing digital marketing value creation tools. As a result, this book develops a new foundation of digital marketing and provides an alternative way of discussing and explaining marketing concepts, old and new, with visual representations.
Visualizing Mathematics with 3D Printing
by Henry SegermanThe first book to explain mathematics using 3D printed models.Winner of the Technical Text of the Washington PublishersWouldn’t it be great to experience three-dimensional ideas in three dimensions? In this book—the first of its kind—mathematician and mathematical artist Henry Segerman takes readers on a fascinating tour of two-, three-, and four-dimensional mathematics, exploring Euclidean and non-Euclidean geometries, symmetry, knots, tilings, and soap films. Visualizing Mathematics with 3D Printing includes more than 100 color photographs of 3D printed models. Readers can take the book’s insights to a new level by visiting its sister website, 3dprintmath.com, which features virtual three-dimensional versions of the models for readers to explore. These models can also be ordered online or downloaded to print on a 3D printer. Combining the strengths of book and website, this volume pulls higher geometry and topology out of the realm of the abstract and puts it into the hands of anyone fascinated by mathematical relationships of shape. With the book in one hand and a 3D printed model in the other, readers can find deeper meaning while holding a hyperbolic honeycomb, touching the twists of a torus knot, or caressing the curves of a Klein quartic.
Visualizing Music
by Eric IsaacsonTo feel the emotional force of music, we experience it aurally. But how can we convey musical understanding visually?Visualizing Music explores the art of communicating about music through images. Drawing on principles from the fields of vision science and information visualization, Eric Isaacson describes how graphical images can help us understand music. By explaining the history of music visualizations through the lens of human perception and cognition, Isaacson offers a guide to understanding what makes musical images effective or ineffective and provides readers with extensive principles and strategies to create excellent images of their own. Illustrated with over 300 diagrams from both historical and modern sources, including examples and theories from Western art music, world music, and jazz, folk, and popular music, Visualizing Music explores the decisions made around image creation. Together with an extensive online supplement and dozens of redrawings that show the impact of effective techniques, Visualizing Music is a captivating guide to thinking differently about design that will help music scholars better understand the power of musical images, thereby shifting the ephemeral to material.
Visualizing Streaming Data: Interactive Analysis Beyond Static Limits
by Anthony AraguesWhile tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult—but not impossible.With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives.Determine your company’s goals for visualizing streaming dataIdentify key data sources and learn how to stream themLearn practical methods for processing streaming dataBuild a client application for interacting with events, logs, and recordsExplore common components for visualizing streaming dataConsider analysis concepts for developing your visualizationDefine the dashboard’s layout, flow direction, and component movementImprove visualization quality and productivity through collaborationExplore use cases including security, IoT devices, and application data
Visualizing Sustainable Planning
by Hans Hagen Subhrajit Guhathakurta Gerhard SteinebachThe authors present the state of the art in the rapidly growing field of visualization as related to problems in urban and regional planning. The significance and timeliness of this volume consist in its reflection of several developments in literature and the challenges cities are facing. First, the unsustainability of many of our current paradigms of development has become evidently clear. We are entering an era in which communities across the globe are strengthening their connections to the global flows of capital, goods, ideas, technologies and values while facing at the same time serious dislocations in their traditional socioeconomic structures. While the impending scenarios of climate change impacts remind us about the integrated ecological system that we are part of, the current discussions about global recession in the media alert us and make us aware of the occasional perils of the globalized economic system. The globally dispersed, intricately integrated and hyper-complex socioeconomic-ecological system is difficult to analyze, comprehend and communicate without effective visualization tools. Given that planners are at the frontlines in the effort to prepare as well as build resilience in the impacted communities, appropriate visualization tools are indispensable for effective planning. Second, planners have largely been slow to incorporate the advances in visualization research emerging from other domains of inquiry.
Visualizing the Data City
by Paolo Ciuccarelli Giorgia Lupi Luca SimeoneThis book investigates novel methods and technologies for the collection, analysis and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
Visualizing with Text (AK Peters Visualization Series)
by Richard BrathVisualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary research effort spanning across fields including visualization, typography, and cartography, it builds a solid foundation for the design space of text in visualization. The book illustrates many new kinds of visualizations, including microtext lines, skim formatting, and typographic sets that solve some of the shortcomings of well-known visualization techniques. Key features: More than 240 illustrations to aid inspiration of new visualizations Eight new approaches to data visualization leveraging text Quick reference guide for visualization with text Builds a solid foundation extending current visualization theory Bridges between visualization, typography, text analytics, and natural language processing Designers, developers, and academics can use this book as a reference and inspiration for new approaches to visualization in any application that uses text.
Vita contemplativa: Elogi de la inactivitat
by Byung-Chul HanUna poderosa crida a abandonar la vida hiperactiva per recuperar l'equilibri i la riquesa interior. Estem perdent la nostra capacitat de no fer res. La nostra existència és absorbida per l'activitat i, per tant, completament explotada. Atès que només percebem la vida en termes de rendiment, tendim a entendre la inactivitat com un dèficit, una negació o una absència d'activitat quan es tracta, ben al contrari, d'una interessant capacitat independent. Byung-Chul Han indaga en els beneficis, l'esplendor i la màgia de l'ociositat i dissenya una nova forma de vida que inclogui moments contemplatius amb els quals poder afrontar la crisi actual de la nostra societat i frenar la nostra pròpia explotació i la destrucció de la naturalesa.
Vivir en la nube: Adolescencia en tiempos digitales
by Roberto BalaguerRoberto Balaguer nos presenta de manera clara y concisa las problemáticas que surgen en el convulsionado mundo de internet. Ya hemos aceptado que la tecnología está cambiando al mundo de forma acelerada. Como padres, como docentes, e incluso como usuarios, intentamos enfrentar nuestros temores y acompañar a aquellos para quienes somos un referente. Sin embargo, no siempre lo logramos. A través de las páginas de este libro, Roberto Balaguer nos presenta de manera clara y concisa las problemáticas que surgen en este mundo. Además de darnos herramientas para comprender como pararnos en este escenario, nos invita a cuestionar nuestras respuestas políticamente correctas y a reflexionar sobre nuestras decisiones de la vida cotidiana. Cuando la sociedad se conmovió por la aparición del juego en línea llamado Ballena azul, el autor nos planteaba: Inmersos en una cultura de saturación de información, de alta tecnología, es frecuente que ante todos estos cambios busquemos hacer frente a los desafíos que tenemos como padres con más tecnología, pero lo cierto es que eso no siempre funciona. En toda esta temática hay tres palabras, que casualmente empiezan de la misma manera, «con», y que ilustran distintos modos de abordar estas cuestiones: control, confianza, contención.
VIVO [Voice-in/Voice-Out]: The Coming Age of Talking Computers
by William CrossmanA positive look at how talking computers, VIVOs, will make text/written language obsolete, replace all writing and reading with speech and graphics, democratize information flow worldwide, and recreate an oral culture by 2050.
VLSI 2010 Annual Symposium
by Amar Mukherjee Konstantinos Masselos Michael Huebner Nicolas Sklavos Nikolaos VorosVLSI 2010 Annual Symposium will present extended versions of the best papers presented in ISVLSI 2010 conference. The areas covered by the papers will include among others: Emerging Trends in VLSI, Nanoelectronics, Molecular, Biological and Quantum Computing. MEMS, VLSI Circuits and Systems, Field-programmable and Reconfigurable Systems, System Level Design, System-on-a-Chip Design, Application-Specific Low Power, VLSI System Design, System Issues in Complexity, Low Power, Heat Dissipation, Power Awareness in VLSI Design, Test and Verification, Mixed-Signal Design and Analysis, Electrical/Packaging Co-Design, Physical Design, Intellectual property creating and sharing.