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  • Digital Media : Human–Technology Connection
    Digital Media : Human–Technology Connection

    Digital Media: Human-Technology Connection examines what it is like to be alive in today’s technologically textured world and showcases specific digital media technologies that makes this kind of world possible.So much of human experience occurs through digital media that it is time to pause and consider the process and proliferation of digital consumption and humanity’s role in it through an interdisciplinary array of sources from philosophy, media studies, film studies, media ecology and philosophy of technology.When placed in the interpretive lens of artifact, instrument, and tool, digital media can be studied in a uniquely different way, as a kind of technology that pushes the boundaries on production, distribution and communication and alters the way humans and technology connect with each other and the world.The book is divided into two sections to provide overarching definitions and case study specifics.Section one, Raw Materials, examines pertinent concepts like digital media, philosophy of technology, phenomenology and postphenomenology by author Stacey O Irwin.In Section Two, Feeling the Weave, Irwin uses conversations with digital media users and other written materials along with the postphenomenological framework to explore nine empirical cases that focus on deep analysis of screens, sound, photo manipulation, data-mining, aggregate news and self-tracking.Postphenomenological concepts like multistability, variational theory, microperception, macroperception, embodiment, technological mediation, and culture figure prominently in the investigation.The aim of the book is to recognize that digital media technologies and the content it creates and proliferates are not neutral.They texture the world in multiple and varied ways that transform human abilities, augment experience and pattern the world in significant and comprehensive ways.

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  • Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools
    Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools

    Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings.With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data.This intermediate-level book teaches the general computational and data skills you need to analyze biological data.If you have experience with a scripting language like Python, you're ready to get started.Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

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  • Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation
    Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation

    Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use.It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators?How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public sector big data to improve their policies and create public benefit?Public sector data is a valuable resource that can help researchers and innovators create knowledge and solutions that benefit society.As public bodies collect increasingly more data about us, UK policy makers try to maximise the use of public sector big data for the benefit of the public.But accessing this data is not easy. There are many legal, technical, and ethical barriers that prevent the use of public sector data for research and innovation.This book is for researchers and innovators who want to understand and overcome the barriers to accessing UK public sector data.It is also for policy makers who are interested in how public sector data can be used to improve decision-making, scrutinise government work, and promote the public interest.

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  • Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology
    Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology

    Kubernetes has become the primary platform for deploying and managing cloud native applications.But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging.If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud.Delve into case studies to avoid the pitfalls others have faced and explore new use cases.Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more

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  • What is a data connection?

    A data connection refers to the link established between a device, such as a smartphone or computer, and the internet or another network. This connection allows the device to transmit and receive data, enabling users to access online services, browse the web, send emails, and more. Data connections can be established through various means, including Wi-Fi, cellular networks, Ethernet cables, and satellite connections.

  • Is this a data connection?

    No, this is not a data connection. A data connection typically refers to the ability to access and transfer data over a network, such as the internet. This question is likely referring to a different type of connection, such as a physical or wireless connection between devices.

  • Is Dewiki a scholarly source for the seminar paper?

    No, Dewiki is not a scholarly source for the seminar paper. Dewiki is the German-language version of Wikipedia, which is a collaborative online encyclopedia that can be edited by anyone. While Wikipedia can be a useful starting point for research, it is not considered a scholarly source because the information is not always verified or written by experts in the field. It is important to use scholarly sources such as academic journals, books, and reputable websites for a seminar paper to ensure the accuracy and reliability of the information.

  • What is a mobile data connection?

    A mobile data connection is a wireless connection that allows a mobile device, such as a smartphone or tablet, to access the internet and other data services. This connection is typically provided by a cellular network and allows users to browse the web, send and receive emails, stream videos, and use various apps while on the go. Mobile data connections can be accessed through a cellular data plan provided by a mobile carrier, and the speed and reliability of the connection can vary depending on the network coverage and the type of technology used (such as 4G or 5G).

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  • Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
    Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities

    With the development of computing technologies in today's modernized world, software packages have become easily accessible.Open source software, specifically, is a popular method for solving certain issues in the field of computer science.One key challenge is analyzing big data due to the high amounts that organizations are processing.Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python.Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

    Price: 250.00 £ | Shipping*: 0.00 £
  • Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
    Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities

    With the development of computing technologies in today's modernized world, software packages have become easily accessible.Open source software, specifically, is a popular method for solving certain issues in the field of computer science.One key challenge is analyzing big data due to the high amounts that organizations are processing.Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python.Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

    Price: 190.00 £ | Shipping*: 0.00 £
  • Brown's Evidence-Based Nursing: The Research-Practice Connection
    Brown's Evidence-Based Nursing: The Research-Practice Connection

    Brown's Evidence-Based Nursing: The Research-Practice Connection continues to be a popular choice for graduate and upper level undergraduate students in an updated fifth edition.In an accessible and easy-to-read style, it introduces students to research methods and evidence-based practice.Students will understand research methods, how to appraise and use research evidence in clinical decision-making, and how to fully understand and engage in evidence-based practice.The unique Why-How-What format along with the exemplar studies throughout provide rich context for learning how EBP progresses from research results.The Fifth Edition was revised to feature LGBTQIA+ inclusive language and features a greater focus on information technology as it relates to EBP.Additionally, clear exemplars and appendices help fully explain key concepts while minimizing the potential for students to feel overwhelmed by the intricacies of scientific research jargon.Brown's Evidence-Based Nursing: The Research-Practice Connection, Fifth Edition is the clear choice for instructors seeking an application-focused resource for their students.

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  • Open Access and the Future of Scholarly Communication : Policy and Infrastructure
    Open Access and the Future of Scholarly Communication : Policy and Infrastructure

    It is impossible to imagine the future of academic libraries without an extensive consideration of open access—the removal of price and permission barriers from scholarly research online. As textbook and journal subscription prices continue to rise, improvements in technology make online dissemination of scholarship less expensive, and faculty recognize the practical and philosophical appeal of making their work available to wider audiences.As a consequences, libraries have begun to consider a wide variety of open access “flavors” and business models. These new possibilities have significant impact on both library services and collection policies, and the call for new skills within library staffing.Volume 9 of the series Creating the 21st-Century Academic Library is the first of two addressing the topic of open access in academic libraries and focuses on policy and infrastructure for libraries that wish to provide leadership on their campus in the transition to more open forms of scholarship. Chapters in the book discuss how to make the case for open access on campus, as well as the political and policy implications of libraries that themselves want to become publishing entities.Infrastructure issues are also addressed including metadata standards and research management services.Also considered here is how interlibrary loan, preservation and the library’s role in providing textbooks, support the concept of open access. It is hoped that this volume, and the series in general, will be a valuable and exciting addition to the discussions and planning surrounding the future directions, services, and careers in the 21st-century academic library.

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  • What is the connection between technology and teachers?

    Technology and teachers are interconnected in various ways. Firstly, technology has become an integral part of the modern classroom, providing teachers with tools and resources to enhance their teaching methods and engage students. Additionally, technology allows teachers to access a wide range of educational materials, collaborate with other educators, and personalize learning for their students. Furthermore, technology also enables teachers to track student progress, provide feedback, and communicate with parents more effectively. Overall, technology has transformed the way teachers teach and has become an essential component of the education system.

  • Will the access data for my internet connection remain the same after the move?

    It is possible that the access data for your internet connection will remain the same after the move, especially if you are staying with the same internet service provider. However, if you are switching to a new provider or moving to a new location with different infrastructure, your access data may change. It's best to check with your current provider or the new provider at your new location to confirm whether your access data will remain the same.

  • Does market research hinder innovation in business administration?

    Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.

  • Does a Wi-Fi connection consume less data than a USB connection?

    A Wi-Fi connection does not consume data itself, but rather it allows devices to connect to the internet using a wireless network. On the other hand, a USB connection allows for data transfer between devices, but does not consume data in the same way as a Wi-Fi connection. The amount of data consumed by either connection depends on the activities being performed, such as streaming video or downloading files. In general, a Wi-Fi connection may be more efficient for internet usage, as it allows for multiple devices to connect to the same network without the need for physical cables.

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