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  • Divided : Open-Mindedness and Dogmatism in a Polarized World
    Divided : Open-Mindedness and Dogmatism in a Polarized World

    If you tune into televised newscasts or read any newspaper, it is impossible to ignore the increased polarization of political discussion.These news reports are supported by empirical research documenting increases in social and political polarization.Polarization is not completely undesirable, as differences between groups can contribute to a vibrant democratic life in which alternative solutions to social problems are fully explored.However, polarization can also produce dysfunctional outcomes, including sub-optimal decision-making processes within groups and a lower likelihood that competing groups are able to resolve differences.Extreme forms of polarization are presumably exacerbated by dogmatic or closed-minded thinking that fails to openly consider the viability of opposing viewpoints, as well as low levels of intellectual humility in which people rarely consider the possibility that their own beliefs and opinions might be fallible.This volume aims to increase the understanding of open-mindedness and dogmatism, illuminate the nature and causes of polarization, and provide clues regarding how one might attempt to reduce pernicious forms of polarization. Bringing together a diverse group of leading psychologists, political scientists, sociologists, and communication scholars who investigate dogmatism and open-mindedness within social and political contexts, Divided: Open-Mindedness and Dogmatism in a Polarized World covers a wide range of topics including key definitions of dogmatism and open-mindedness, the emergence of affective polarization, how open-mindedness relates to attitude formation and change, the correspondence between intellectual humility and open-mindedness, and how social norms and situations shape open-minded cognition.Authors consider both the beneficial and more problematic features of open-mindedness, dogmatism, and polarization.Collectively, this volume provides a format that enables readers to learn about creative approaches to understanding dogmatism and open-mindedness and, potentially, to generate innovative solutions that reduce polarization and increase constructive social compromise in the future.

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  • Open-Mindedness in the Bible and Beyond : A Volume of Studies in Honour of Bob Becking
    Open-Mindedness in the Bible and Beyond : A Volume of Studies in Honour of Bob Becking

    The contributions to this volume reflect upon changing paradigms within biblical scholarship, and in how biblical scholarship is taught.Taken together, they offer a multifaceted and informative indication of how open-mindedness in one's approach can yield fascinating results across the study of the Old Testament/Hebrew Bible. The range in topic of the contributions is exemplified in the difference between the first chapter, which works from the personal anecdote of the changing opinion of its author to make a wider point about models for Pentateuchal formation, and the third chapter, which comments on the current state of the study of ancient Israel in universities today.Other contributions include; an essay on the subject of space as a social construct in Isaiah 24-27; civil courage and whether the Bible allows room for protest; the question of monotheism in Persian Judah; the historical Ezra, and the telling of the story of Joseph (Genesis 50: 15-21) in children's Bibles in the Netherlands.The contributors include Hugh Williamson, Ehud Ben Zvi, Rainer Albertz, Karel von der Toorn, and Christoph Uehlinger.

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  • It's Business, Not Social(TM) : STANDOUT. Develop and increase your Significance over Time with Authenticity, Networking, Dedication, Open-mindedness, Understanding, and Tenacity.
    It's Business, Not Social(TM) : STANDOUT. Develop and increase your Significance over Time with Authenticity, Networking, Dedication, Open-mindedness, Understanding, and Tenacity.


    Price: 10.99 £ | Shipping*: 3.99 £
  • Data Analytics & Visualization All-in-One For Dummies
    Data Analytics & Visualization All-in-One For Dummies

    Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.

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  • Do children feel open-mindedness?

    Children have the capacity to be open-minded, as they are naturally curious and eager to learn about the world around them. However, their level of open-mindedness can be influenced by their environment, upbringing, and exposure to diverse perspectives. Encouraging children to explore new ideas, cultures, and experiences can help foster open-mindedness and empathy. It is important for adults to model open-minded behavior and provide opportunities for children to engage with different viewpoints in order to help them develop a more open-minded approach to the world.

  • What is ruining my absent-mindedness?

    Your absent-mindedness may be affected by factors such as stress, lack of sleep, multitasking, or information overload. These factors can overwhelm your brain and make it difficult to focus or remember things. To combat absent-mindedness, try practicing mindfulness techniques, getting enough rest, organizing your tasks, and reducing distractions in your environment.

  • What can be done against absent-mindedness?

    To combat absent-mindedness, individuals can try implementing strategies such as creating to-do lists, setting reminders on their phone or calendar, practicing mindfulness techniques to improve focus and attention, and establishing a routine to help stay organized. Additionally, getting enough sleep, eating a balanced diet, and engaging in regular physical exercise can also help improve cognitive function and reduce absent-mindedness. Seeking professional help from a therapist or counselor may be beneficial for individuals experiencing chronic absent-mindedness that significantly impacts their daily life.

  • How can one get rid of absent-mindedness?

    One can get rid of absent-mindedness by practicing mindfulness techniques such as meditation or deep breathing exercises to improve focus and concentration. Creating a daily routine and setting reminders can also help in staying organized and reducing forgetfulness. Engaging in regular physical exercise and getting enough sleep can improve cognitive function and reduce absent-mindedness. Additionally, incorporating brain-boosting foods such as fruits, vegetables, and omega-3 fatty acids into one's diet can help improve memory and mental clarity.

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  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    Spatial Analysis with R : Statistics, Visualization, and Computational Methods

    In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

    Price: 45.99 £ | Shipping*: 0.00 £
  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    Spatial Analysis with R : Statistics, Visualization, and Computational Methods

    In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

    Price: 105.00 £ | Shipping*: 0.00 £
  • Spatial Epidemiological Approaches in Disease Mapping and Analysis
    Spatial Epidemiological Approaches in Disease Mapping and Analysis

    Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries.Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data.Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.

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  • Crime Mapping and Spatial Data Analysis using R
    Crime Mapping and Spatial Data Analysis using R

    Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.

    Price: 76.99 £ | Shipping*: 0.00 £
  • How do you deal with German narrow-mindedness?

    Dealing with German narrow-mindedness can be challenging, but it's important to approach it with patience and understanding. One way to handle it is by engaging in open and respectful dialogue, sharing different perspectives, and trying to find common ground. It's also helpful to educate others about different cultures and viewpoints, and to lead by example in embracing diversity and open-mindedness. Building relationships and connections with open-minded individuals can also provide support and a sense of community. Overall, it's important to approach narrow-mindedness with empathy and a willingness to bridge the gap through communication and understanding.

  • What is spatial visualization ability?

    Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.

  • Is spatial visualization important for engineers?

    Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.

  • What is the reason for your confusion and absent-mindedness?

    The reason for my confusion and absent-mindedness could be due to a lack of focus or concentration. It could also be caused by stress, fatigue, or overwhelming emotions. Additionally, it could be a result of trying to multitask or juggle too many things at once. It's important to identify the specific factors contributing to my confusion and absent-mindedness in order to address them effectively.

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