Products related to Are:
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Are There Laws Of Innovation?
Beyond real GDP, innovative capacity is an important indicator of the economic strength of a nation.By studying innovative capacity and other indicators of success in innovation across the Group-of-Seven (G7) Countries, the East Asian Newly Industrialised Economies (EANIEs) and Mainland China, this book will systematically establish a positive relationship between innovation outputs and inputs of different economies.In doing so, it seeks to answer the question - are there laws of innovation?It seeks to identify the determinants of innovation at the economy-wide level, ascertain whether these determinants are similar across different economies, and find suitable metrics for comparing relative success in innovation across different economies.It concludes that innovation, rather than being a stroke of good fortune, comes from research and development activities conducted over a long period of time, and sheds light on future trends and areas for further research.
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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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Art + Science Now : How scientific research and technological innovation are becoming key to 21st-century aesthetics
Art + Science Now is a groundbreaking overview of the art being made at the cutting edge of scientific research.The first illustrated book in its field, it shows how some of the world’s most dynamic art is being produced not in museums, galleries and studios but in the laboratory, where artists probe cultural, philosophical and social questions connected with scientific and technological advances.Featuring the work of around 250 artists from the UK, Germany, France, the Netherlands, the USA, Japan and elsewhere, it presents a broad range of projects, from body art to bioengineering of plants and insects, from music, dance and computer-controlled video performances to large-scale visual and sound installations.This comprehensive guide to contemporary art inspired or driven by scientific innovation points to intriguing new directions for the visual arts and traces a key strand in 21st-century aesthetics.
Price: 19.95 £ | Shipping*: 3.99 £
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Are open-source codes counterfeited?
Open-source codes are not counterfeited in the traditional sense, as they are freely available for anyone to use, modify, and distribute. However, there have been instances where malicious actors have taken advantage of open-source software by introducing vulnerabilities or malware into the code. It is important for users of open-source software to verify the authenticity of the code they are using and to stay informed about any potential security risks. Overall, open-source codes are not counterfeited, but users should exercise caution and due diligence when utilizing them.
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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.
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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.
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Are there any advancements or research in refrigeration technology?
Yes, there have been significant advancements and research in refrigeration technology in recent years. Some of the key areas of focus include improving energy efficiency, reducing environmental impact, and developing alternative refrigerants with lower global warming potential. Researchers are also exploring the use of advanced materials and technologies, such as magnetic refrigeration and thermoelectric cooling, to enhance the performance of refrigeration systems. Additionally, there is ongoing research into the integration of refrigeration systems with renewable energy sources to further reduce their carbon footprint. Overall, these advancements aim to make refrigeration technology more sustainable and environmentally friendly.
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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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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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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.
Price: 95.00 £ | Shipping*: 0.00 £
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What are the access data for TikTok?
The access data for TikTok typically include a username or email address and a password. Users can create an account using their phone number, email address, or third-party social media accounts such as Facebook or Google. Once the account is created, users can log in using their chosen username or email address and the associated password. Additionally, some users may also have the option to enable two-factor authentication for added security.
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Which open-source programs are written in C?
Many open-source programs are written in C, including the Linux kernel, the GNU operating system, the Python interpreter, the SQLite database engine, and the Apache web server. C is a popular choice for writing open-source software due to its efficiency, portability, and low-level control over hardware. Its performance and versatility make it a preferred language for developing system software and applications.
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Which open-source trojans are suitable for studying purposes?
Some open-source trojans that are suitable for studying purposes include DarkComet, Poison Ivy, and njRAT. These trojans are widely used in the cybersecurity community for educational and research purposes due to their availability and the ability to analyze their behavior and functionality. Studying these trojans can provide valuable insights into how they operate, how to detect and defend against them, and how to conduct forensic analysis in the event of an attack. However, it is important to note that using these trojans for any malicious purposes is illegal and unethical.
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What are the SIP access data for Magenta?
The SIP access data for Magenta are as follows: - SIP server: sip.magenta.com - SIP username: Your assigned username - SIP password: Your assigned password - SIP port: 5060 - SIP transport protocol: UDP or TCP Make sure to use these credentials when setting up your SIP client to connect to Magenta's SIP server for communication services.
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