Products related to Disable:
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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
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
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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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.
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How do I disable microphone access on Facebook?
To disable microphone access on Facebook, you can go to your phone's settings, find the Facebook app, and then turn off the microphone access. On an iPhone, you can do this by going to Settings > Privacy > Microphone, and then toggle off the microphone access for Facebook. On an Android device, you can go to Settings > Apps & notifications > App permissions > Microphone, and then disable the microphone access for Facebook. This will prevent the Facebook app from accessing your device's microphone.
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How can I disable the virtualization technology in the BIOS?
To disable virtualization technology in the BIOS, you will need to access the BIOS settings during the computer's startup process. This is typically done by pressing a specific key (such as F2, F10, or Del) as the computer boots up. Once in the BIOS settings, look for an option related to virtualization technology (often labeled as Intel VT-x or AMD-V) and disable it. Save the changes and exit the BIOS settings to apply the changes. Keep in mind that the exact steps may vary depending on the manufacturer and model of your computer.
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How can I disable Guided Access on my iPhone?
To disable Guided Access on your iPhone, you can follow these steps: 1. Go to the Settings app on your iPhone. 2. Scroll down and tap on Accessibility. 3. Tap on Guided Access. 4. Toggle off the switch next to Guided Access to disable it. Once you have completed these steps, Guided Access will be disabled on your iPhone.
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How can I disable my iPhone without losing data?
To disable your iPhone without losing data, you can simply turn off the device by holding down the power button until the "slide to power off" option appears. This will disable the phone without erasing any data. Alternatively, you can also put your iPhone in Airplane Mode or turn on the Do Not Disturb feature to disable certain functions without losing any data. Just make sure to back up your data regularly to prevent any potential loss.
Similar search terms for Disable:
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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 £ -
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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Scholarly Editing : A Guide to Research
This collection of twenty-six essays, written by acknowledged experts in literary studies, surveys the history of scholarly editing, describes the major research in a variety of disciplines, summarizes the resources available to scholars, and analyzes the issues currently facing textual editors. The book begins with an overview of scholarly editing, followed by four essays on the long tradition of editing the Bible and the Greek and Latin classics.The next cluster of essays proceeds through the major periods of British and American literature, from medieval to modern, further subdividing the Renaissance and the nineteenth century by genre and including a chapter devoted to Shakespeare.Additional essays cover other European literatures: French (Old French and early modern), Italian, medieval Spanish, German, and Russian.The concluding essays discuss representative non-European literatures and the “nonliterary” editing of folk literature in various languages.Each chapter includes a history of scholarly editing in the field, a citation of exemplary editions, and an introduction to a recommended list of further readings.
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Gender Differences in Technology and Innovation Management : Insights from Experimental Research
Even though the number of working women has steadily increased over the last few years, women are still significantly under-represented in STEM activities (i.e. mathematics, informatics, science and technology). In order to eliminate this under-representation, numerous education policies and corporate initiatives, particularly in the recent past, have been aimed at increasing women's enthusiasm for STEM activities and professions.According to the latest surveys, however, it is clear that these efforts have not yet led to the desired success.Compared to their male counterparts, women continue to do fewer STEM activities. One possible reason for this is that relatively little is yet known about the concrete impact of the above education policies on working with innovation and technology: What are the gender differences between women and men?Is it enough to recognize these differences, or should these differences ideally not only be recognized, but also treated appropriately or even encouraged? This anthology deals with current topics in technology and innovation management against the background of these and other gender-relevant aspects.Empirical analyses and experiments in collaboration with companies from various sectors provide a sound scientific basis on which new results and findings are presented: How do women and men deal with creativity and competition?How are technologies applied and how can differences in access to technology be deduced? Answers to these and other questions help decision-makers in politics and business to proactively use the differences between women and men to motivate women to work in the STEM field and to strengthen them by acknowledging existing differences.
Price: 96.50 £ | Shipping*: 0.00 £
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How can you disable microphone access for only one app?
To disable microphone access for only one app, you can go to the settings on your device and navigate to the app permissions section. Find the specific app for which you want to disable microphone access and toggle off the microphone permission. This will prevent the app from accessing your device's microphone while still allowing other apps to use it. Keep in mind that the steps to do this may vary slightly depending on the type of device and operating system you are using.
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Is there an app to disable data usage for apps?
Yes, there are several apps available that can help you disable data usage for specific apps on your smartphone. These apps allow you to block data access for certain apps, helping you save on your data usage and prevent background data usage. Some popular apps for this purpose include NetGuard, NoRoot Firewall, and Mobiwol. These apps give you more control over your data usage and can help you manage your mobile data more effectively.
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How can I completely disable mobile data usage for apps?
To completely disable mobile data usage for apps on your smartphone, you can go to the settings and look for the "Data Usage" or "Mobile Data" section. Within this section, you can individually select which apps are allowed to use mobile data and disable the ones you don't want to have access. Additionally, some smartphones have a "Restrict Background Data" option that you can enable to prevent apps from using data in the background. By taking these steps, you can effectively disable mobile data usage for apps on your device.
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How can you disable your parents' internet access with a trick?
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