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  • Selfishness and Selflessness : New Approaches to Understanding Morality
    Selfishness and Selflessness : New Approaches to Understanding Morality

    We are said to be suffering a narcissism epidemic when the need for collective action seems more pressing than ever.The traits of Selfishness and selflessness address the ‘proper’ and ‘improper’ relationship between one’s self and others.The work they do during periods of social instability and cultural change is probed in this original, interdisciplinary collection.Contributions range from an examination of how these concepts animated the eighteenth-century anti-slavery campaigners to a dissection of the way middle-class mothers’ experiences illustrate gendered struggles over how much and to whom one is morally obliged to give.

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  • The Malfunction of US Education Policy : Elite Misinformation, Disinformation, and Selfishness
    The Malfunction of US Education Policy : Elite Misinformation, Disinformation, and Selfishness

    The Malfunction of US Education Policy: Elite Misinformation, Disinformation, and Selfishness biased and inefficient information dissemination that has degraded US education research and policy since the year 2001, when a series of unfortunate disruptions began:first, the No Child Left Behind (NCLB) Act and federal imposition of an idiosyncratic and ineffectual testing program;second, the “big bang” reorganization of the US education testing industry from a stable, cooperative oligopoly run by psychometricians to a commercially competitive free-for-all with more opportunist and customer-pleasing ambitions; andthird, the Common Core standards, which mandated homogenous lower content standards onto the still required NCLB testing structure. Billions from the federal government and wealthy foundations have transformed many once-independent national education organizations into “cargo cult” dependents and promoters of the new order, intolerant of divergent points of view.The research and policy brain trust responsible comprised an alliance of convenience among two “citation cartels” of establishment and reform scholars and politicos, and an astonishingly cooperative and un-skeptical group of journalists.It succeeded in focusing attention on their work, while diverting attention away from a much larger universe of others’ work (by ignoring, dismissing, or demeaning it) that included a century’s worth of mostly experimental scholarship in the fields of psychology and program evaluation.

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  • The Good Life : Wellbeing and the new science of altruism, selfishness and immorality
    The Good Life : Wellbeing and the new science of altruism, selfishness and immorality

    Are we born selfish or primed to help others?Does stress make people more antisocial?Can we ever be genuinely altruistic?This book explores some of the dilemmas at the heart of being human.Integrating cutting edge studies with in-depth clinical experience, Graham Music synthesizes a wealth of fascinating research into an explanation of altruism, cooperation and generosity and shows how we are primed to turn off the ‘better angels of our nature’ in the face of stress, anxiety and fear. Using fascinating psychological research but rooted in a clinicians understanding of the impact of stress on our moral and pro-social capacities, The Good Life covers topics as diverse as:The role of parenting and family life in shaping how antisocial or pro-social we becomeHow stress, abuse and insecure attachment profoundly undermine empathic and altruistic capacitiesThe relative influence of our genes or environments on becoming big-hearted or coldly psychopathic How our immediate contexts and recent social changes might tilt us towards either selfish or cooperative behaviourThis book makes a unique contribution to a subject that is increasingly on people’s minds.It does not shirk complexity, nor suggest easy explanations, but offers a hard look at the evidence in the hope that we can gain some understanding of how a ‘Good Life’ might develop.Often personally challenging, intellectually exhilarating and written with an easily accessible style, The Good Life makes sense of how our moral selves take shape, and shines a light on the roots of goodness and nastiness.

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  • 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 Germans tend towards selfishness?

    Germans, like people from any other country, can exhibit a range of behaviors, including selfishness. However, it would be unfair to make a blanket statement about an entire population. Cultural and individual differences mean that not all Germans tend towards selfishness. Like any other society, there are both selfless and selfish individuals in Germany. It's important to avoid generalizations and instead focus on understanding individuals on a personal level.

  • To what extent is selfishness forbidden?

    Selfishness is generally considered to be morally wrong and is often discouraged in many cultures and religions. It is believed that selfish behavior can harm others, damage relationships, and lead to negative consequences. While it is natural for individuals to prioritize their own needs and desires to some extent, it is important to also consider the well-being of others and practice empathy and compassion. Ultimately, selfishness should be kept in check and balanced with selflessness in order to promote harmony and cooperation in society.

  • Do you think self-love is selfishness?

    Self-love is not the same as selfishness. Self-love is about caring for and valuing oneself, which is essential for overall well-being and healthy relationships. Selfishness, on the other hand, is a lack of consideration for others and prioritizing one's own needs at the expense of others. It is important to strike a balance between self-love and consideration for others to maintain healthy relationships and personal growth.

  • To what extent is selfishness forbidden (haram)?

    Selfishness is generally considered to be discouraged in many religious and ethical traditions, including Islam. The concept of selfishness goes against the principles of compassion, generosity, and consideration for others that are emphasized in Islamic teachings. Selfishness can lead to negative consequences for individuals and society, such as greed, injustice, and lack of empathy. Therefore, while it may not be explicitly forbidden (haram), selfishness is generally discouraged and seen as detrimental to personal and communal well-being in Islamic teachings.

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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.

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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.

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  • 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.

    Price: 45.99 £ | Shipping*: 0.00 £
  • Is arrogance and selfishness the same thing?

    Arrogance and selfishness are not the same thing, but they can be related. Arrogance is an attitude of superiority and an excessive sense of one's own importance, often leading to a lack of consideration for others. Selfishness, on the other hand, is a focus on one's own needs and desires at the expense of others. While arrogance can lead to selfish behavior, it is possible to be selfish without being arrogant, and vice versa. Both traits can be detrimental to relationships and personal growth.

  • 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.

  • How can one address selfishness in a discussion?

    When addressing selfishness in a discussion, it is important to approach the topic with empathy and understanding. Try to communicate openly and honestly about how the selfish behavior is impacting you or others. Encourage the person to consider the perspectives and needs of others, and discuss ways in which they can show more consideration and empathy in their actions. It is also helpful to set clear boundaries and consequences if the selfish behavior continues.

  • What are the causes of greed and selfishness?

    Greed and selfishness can be caused by a variety of factors, including societal influences that prioritize material wealth and individual success. Personal insecurities and a fear of scarcity can also drive individuals to prioritize their own needs above others. Additionally, a lack of empathy or emotional intelligence can contribute to selfish behavior, as individuals may struggle to consider the impact of their actions on others. Ultimately, a combination of environmental, psychological, and social factors can contribute to the development of greed and selfishness in individuals.

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