Products related to Emotion:
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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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Handbook of Music and Emotion : Theory, Research, Applications
Music's ability to express and arouse emotions is a mystery that has fascinated both experts and laymen at least since ancient Greece.The predecessor to this book 'Music and Emotion' (OUP, 2001) was critically and commercially successful and stimulated much further work in this area.In the years since publication of that book, empirical research in this area has blossomed, and the successor to 'Music and Emotion' reflects the considerable activity in this area.The Handbook of Music and Emotion offers an 'up-to-date' account of this vibrant domain.It provides comprehensive coverage of the many approaches that may be said to define the field of music and emotion, in all its breadth and depth.The first section offers multi-disciplinary perspectives on musical emotions from philosophy, musicology, psychology, neurobiology, anthropology, and sociology.The second section features methodologically-oriented chapters on the measurement of emotions via different channels (e.g., self report, psychophysiology, neuroimaging).Sections three and four address how emotion enters into different aspects of musical behavior, both the making of music and its consumption.Section five covers developmental, personality, and social factors.Section six describes the most important applications involving the relationship between music and emotion.In a final commentary, the editors comment on the history of the field, summarize the current state of affairs, as well as propose future directions for the field.The only book of its kind, The Handbook of Music and Emotion will fascinate music psychologists, musicologists, music educators, philosophers, and others with an interest in music and emotion (e.g., in marketing, health, engineering, film, and the game industry).It will be a valuable resource for established researchers in the field, a developmental aid for early-career researchers and postgraduate research students, and a compendium to assist students at various levels.In addition, as with its predecessor, it will also attract interest from practising musicians and lay readers fascinated by music and emotion.
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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
Price: 63.99 £ | Shipping*: 0.00 £
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Is hatred really an emotion?
Hatred is often described as a strong feeling of intense dislike or animosity towards someone or something. While it is commonly referred to as an emotion due to its powerful and visceral nature, some argue that it is more of a learned behavior or mindset rather than a pure emotion. Hatred can be fueled by a variety of factors such as fear, prejudice, or past experiences, making it a complex and multifaceted phenomenon that goes beyond just being a simple emotion.
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Is fear the strongest emotion?
Fear is a powerful and primal emotion that can have a strong impact on our thoughts and actions. However, it is not necessarily the strongest emotion for everyone. Different individuals may experience and respond to emotions in different ways, and what feels most powerful to one person may not be the same for another. Emotions such as love, anger, and joy can also have a significant impact on our lives and can be just as powerful as fear in certain situations. Therefore, it is subjective to say whether fear is the strongest emotion overall.
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Is hate really an emotion?
Hate is often described as a strong feeling of intense dislike or animosity towards someone or something. While it is not a primary emotion like happiness or sadness, hate is considered a complex emotion that can be fueled by a combination of other emotions such as anger, fear, or disgust. It involves a deep-seated aversion and can lead to harmful thoughts and actions. Overall, hate can be seen as a powerful and destructive emotion that can have significant impacts on individuals and society.
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What does little emotion mean?
Little emotion refers to a lack of strong feelings or expressions of emotion. It can indicate a sense of detachment, indifference, or apathy towards a situation or person. People who exhibit little emotion may have difficulty connecting with their own emotions or the emotions of others, leading to a perceived lack of empathy or understanding in social interactions.
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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.
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Emotion Tokens
Emotion tokens are tactile visual cues to help young people express and explore their feelings. This mixed bag of emotions are a great conversation starter to encourage young people to talk about their feelings and support their social, emotional and
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Do emotion and reason go together?
Emotion and reason are often seen as two separate aspects of human cognition, but they are not mutually exclusive. In fact, they often work together to help us make decisions and navigate the world. Emotions can provide valuable information about our values and preferences, while reason can help us evaluate options and make logical choices. Ultimately, a balance of both emotion and reason is often necessary for making well-rounded and informed decisions.
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Which emotion accompanies you the most?
As an AI, I do not experience emotions like humans do. I am designed to assist and provide information to the best of my abilities without any emotional influence. My main purpose is to help users with their queries and provide accurate and helpful responses.
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Why is she writing without emotion?
She may be writing without emotion because she is trying to convey information in a clear and objective manner. This could be important in a professional or academic context where emotions may cloud the message. Additionally, she may be intentionally trying to distance herself from the topic or the reader in order to maintain a sense of professionalism or neutrality. Finally, it's possible that she is feeling emotionally detached from the subject matter and is reflecting that in her writing.
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Is this lack of emotion normal?
The experience of a lack of emotion can be normal in certain situations, such as during periods of stress or grief. However, if the lack of emotion persists for an extended period of time and significantly impacts daily functioning, it may be a sign of an underlying mental health issue such as depression or anxiety. It is important to seek support from a mental health professional to better understand the cause of the lack of emotion and to receive appropriate treatment.
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