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    Contributing to the discussion over China's higher education development, this book takes a theoretical approach to address the topic of university academics' innovation by introducing an academic innovation competency model, exploring the contexts, concepts and practices.The innovation competency model comprises three interdependent dimensions, including the academic internal drive vitality, the academic synthesizing refined ability and the academic suspected and introspective ability.By enriching the theory of professional development of university teachers, these three dimensions will help advance the reform of college personnel systems and ultimately improve the quality of China's higher education. The book will be valuable to researchers, students and stakeholders hoping to learn about education reform in China, or to those who study higher education management and comparative education.

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  • Rethinking Education for Sustainable Development : Research, Policy and Practice
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    This book explores how education can be used as a tool to promote sustainability practices as the world faces huge challenges related to climate change and public health.The chapters consider all types of literacy approaches that fall under the umbrella of Education for Sustainable Development (ESD).These approaches include scientific literacy, ecological literacy, health literacy, education on climate change and climate resilience, environmental education and others linking education, global health, and the environment more broadly. “Education” is used in the widest sense to incorporate non-formal, informal and formal/school settings.This volume will help to bring these interconnected areas together and interrogate their research methods, assumptions, field-based application and their policy potential.Taking a critical approach to ESD, the book suggests new pedagogies, tools, and technologies to strengthen the way we educate about sustainability issues and go beyond the current thinking about ESD.The book includes a foreword by Jeffrey Sachs, Director of the Center for Sustainable Development at Columbia University, USA.

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  • Gender Differences in Technology and Innovation Management : Insights from Experimental Research
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  • Digital Holocaust Memory, Education and Research
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  • Is it linear or non-linear?

    The relationship between the variables is non-linear.

  • 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.

  • 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.

  • 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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  • RC Micro Linear Servo - 2PCS Upgrade 9mm 1.5g Digital Linear Coreless Servo for Mini Aircraft
    RC Micro Linear Servo - 2PCS Upgrade 9mm 1.5g Digital Linear Coreless Servo for Mini Aircraft

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  • AGFRC Micro Linear Servo - 2PCS Upgrade 9mm 1.5g Digital Linear Coreless Servo for Mini Aircraft
    AGFRC Micro Linear Servo - 2PCS Upgrade 9mm 1.5g Digital Linear Coreless Servo for Mini Aircraft

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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.

  • 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.

  • 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.

  • 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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