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Positivity : Confidence, Resilience, Motivation
Do you want more optimism, confidence, resilience and motivation?Then this book is for you! We currently live in a time of unprecedented challenges, uncertainty, overwhelming stress, loss of hope at times and a need for mental strength and adaptability to a new way of life. Traditional 'positive thinking', trying to constantly tell yourself that everything is OK, no matter the circumstances, just isn't enough to make any lasting difference. After 30 years working as a therapist, Paul McKenna has developed a unique approach – one that can guide you towards an all-round feeling of positivity – putting you into optimal states of mind, building up your resilience and enabling good decisions and actions that lead to successful results in life. There is now irrefutable scientific evidence that shows that particular ways of thinking and acting produce tangible positive results in people's ability to deal with challenges and their overall quality of life.The research also shows that this mindset can be learned quickly just like any habit. And that is why this book is a practical psychological system in how to survive and thrive – how to discover your own natural most powerful resources for self-care, self-belief and for taking control of your life.
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Laughter After : Humor and the Holocaust
Laughter After: Humor and the Holocaust argues that humor performs political, cultural, and social functions in the wake of horror.Co-editors David Slucki, Gabriel N. Finder, and Avinoam Patt have assembled an impressive list of contributors who examine what is at stake in deploying humor in representing the Holocaust.Namely, what are the boundaries? Clearly, there have been comedy and laughter in the decades since.However, the extent to which humor can be ethically deployed in representing and discussing the Holocaust is not as clear.This book comes at an important moment in the trajectory of Holocaust memory.As the generation of survivors continues to dwindle, there is great concern among scholars and community leaders about how memories and lessons of the Holocaust will be passed to future generations.Without survivors to tell their stories, to serve as constant reminders of what they experienced, how will future generations understand and relate to the Shoah?Laughter After is divided into two sections: "Aftermath" and "Breaking Taboos." The contributors to this volume examine case studies from World War II to the present day in considering and reconsidering what role humor can play in the rehabilitation of survivors, of Jews and of the world more broadly.More recently, humor has been used to investigate the role that Holocaust memory plays in contemporary societies, while challenging memorial conventions around the Holocaust and helping shape the way we think about the past.In a world in which Holocaust memory is ubiquitous, even if the Holocaust itself is inadequately understood, it is perhaps not surprising that humor that invokes the Holocaust has become part of the memorial landscape.This book seeks to uncover how and why such humor is deployed, and what the factors are that shape its production and reception.Laughter After will appeal to a number of audiences-from students and scholars of Jewish and Holocaust studies to academics and general readers with an interest in media and performance studies.
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Foundations of Linear and Generalized Linear Models
A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models.The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables.Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data.Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methodsAn overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problemsNumerous examples that use R software for all text data analysesMore than 400 exercises for readers to practice and extend the theory, methods, and data analysisA supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.
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Aegean Linear Script(s) : Rethinking the Relationship Between Linear A and Linear B
When does a continuum become a divide? This book investigates the genetic relationship between Linear A and Linear B, two Bronze Age scripts attested on Crete and Mainland Greece and understood to have developed one out of the other.By using an interdisciplinary methodology, this research integrates linguistic, epigraphic, palaeographic and archaeological evidence, and places the writing practice in its sociohistorical setting.By challenging traditional views, this work calls into question widespread assumptions and interpretative schemes on the relationship between these two scripts, and opens up new perspectives on the ideology associated with the retention, adaptation and transmission of a script, and how identity was negotiated at a moment of closer societal interaction between Cretans and Greek-speaking Mainlanders in the Late Bronze Age.By delving deeper into the structure and inner workings of these two writing systems, this book will make us rethink the relationship between Linear A and B.
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Is it linear or non-linear?
The relationship between the variables is non-linear.
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What is the difference between a linear term, a linear equation, and a linear function?
A linear term is a single variable or constant raised to the power of 1, such as 3x or 5. A linear equation is an equation that can be written in the form y = mx + b, where x is the independent variable, y is the dependent variable, m is the slope, and b is the y-intercept. A linear function is a mathematical relationship between two variables that can be represented by a straight line on a graph, and it can be expressed in the form f(x) = mx + b, where f(x) represents the dependent variable, x is the independent variable, m is the slope, and b is the y-intercept.
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What is the linear span of a linear space?
The linear span of a linear space is the set of all possible linear combinations of the vectors in that space. In other words, it is the collection of all possible vectors that can be obtained by scaling and adding the vectors in the space. The linear span forms a subspace of the original space and is often used to describe the "space" that is covered by the original set of vectors. It is a fundamental concept in linear algebra and is used to understand the properties and structure of vector spaces.
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Is my proof on linear independence in linear algebra correct?
To provide accurate feedback on the correctness of your proof on linear independence in linear algebra, I would need to review the specific details and steps of your proof. Please share your proof or key arguments so that I can assess its validity and provide you with constructive feedback.
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2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
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2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
Price: 3.37 € | Shipping*: 1.99 € -
2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
Price: 3.37 € | Shipping*: 1.99 € -
2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
2025Anti-Motivation Sarcastic Wall Calendar - Funny Humor Text Gag Gift, Suitable For Women, Men,
Price: 3.37 € | Shipping*: 1.99 €
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Is my proof about linear independence in linear algebra correct?
To provide an accurate assessment of your proof, I would need to review the specific details and steps of your proof. Linear independence in linear algebra is a fundamental concept, and it is important to ensure that the proof is logically sound and follows the definitions and properties of linear independence. If you can provide the details of your proof, I would be happy to review it and provide feedback on its correctness.
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What is the difference between linear equations and linear functions?
Linear equations and linear functions are closely related, but there is a key difference between the two. A linear equation is a mathematical statement that two expressions are equal, typically in the form y = mx + b. On the other hand, a linear function is a mathematical relationship between an independent variable and a dependent variable, typically in the form f(x) = mx + b. In other words, a linear equation is a specific instance of a linear function, where the equation represents the relationship between the variables.
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What is the connection between linear algebra and linear transformations?
Linear algebra is the branch of mathematics that deals with vector spaces and linear equations. Linear transformations are functions that preserve vector addition and scalar multiplication, which are fundamental concepts in linear algebra. Linear transformations can be represented by matrices, and studying linear algebra helps us understand the properties and behavior of linear transformations. In essence, linear algebra provides the tools and framework to analyze and manipulate linear transformations.
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What is the connection between linear algebra and linear mappings?
Linear algebra is the branch of mathematics that deals with vector spaces and linear transformations. Linear mappings are a fundamental concept in linear algebra, as they represent transformations that preserve the structure of vector spaces. Linear algebra provides the tools and techniques to study and analyze linear mappings, such as matrix representations, eigenvalues, and eigenvectors. Understanding linear algebra is essential for understanding the properties and behavior of linear mappings in various mathematical contexts.
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