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Building Rural Community Resilience Through Innovation and Entrepreneurship
Drawing from empirical analyses, case studies, and a synthesis of best practices, this book explores how innovation manifests itself in rural places and how it contributes to entrepreneurial development and resilience.Innovation in rural places may come about as a result of new forms of collaboration; policies that leverage rural assets and address critical service or product gaps; novel strategies for accessing financial capital; infusion of arts into aspects of community life; and cultivation of networks that bridge entrepreneurs, organizations, and institutions.The chapters illustrate how a number of innovation-related characteristics relate to economic vibrancy in rural places such as a strong connection to the arts, adaptive and sustainable use of natural resources, value-chain integrated food systems, robust bridging social capital networks, creative leveraging of technology, and presence of innovation-focused entrepreneurs.Through exploration of these and other topics, this book will provide insights and best practices for rural community and economic development scholars and practitioners seeking to strengthen the rural innovation ecosystem.
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This book provides one of the first systematic introductions to the Japanese concept of life-environmentalism, Seikatsu-Kankyo Shugi.This concept emerged in the 1980s as a shared research framework among Japanese social scientists studying the adverse consequences of postwar industrialization on everyday life in communities. Life-environmentalism offers a lens through which the agency of small communities in sustaining their everyday life and living environment can be understood.The book provides an overview of this approach, including intellectual backgrounds and foundational concepts, along with a variety of empirical case studies that examine environmental and sustainability issues in Japan and other parts of Asia.It also includes critical reflections on the approach in light of contemporary sustainability challenges.The empirical topics covered in the book include local community responses to development projects, resource governance, disaster response and recovery, and historical environmental preservation.The chapters are contributed by researchers working at the forefront of the field.It provides only a glimpse into the vast literature that awaits further exploration and engagement in the future. The book is suitable for upper undergraduate students, graduate students, and researchers interested in environmental problems, sustainability and resilience, disaster mitigation and response, and regional development in Asian contexts, particularly Japan.It is well-suited for courses in anthropology, geography, sociology, urban and regional planning, political science, Asian studies, and environmental studies.
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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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Climate Change, Community Response and Resilience : Insight for Socio-Ecological Sustainability Volume 6
Climate Change, Community Response, and Resilience: Insight for Socio-Ecological Sustainability, Volume Six presents a fundamental theoretical framework for understanding how community resilience and risk assessment affect climate change adaptation behavior.This framework is based on a 26-chapter theoretical and empirical examination that includes pioneer projects from various regions that illustrate the relationship between theory and practice, reflect a paradigm shift in climate change, community response, and resilience, and focus on these important aspects from a sectoral perspective.Climate change, ecological consequences and resilience are then discussed in the final section. Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles.See the RMetS member dashboard for the discount code.
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Innovation, Social Responsibility and Sustainability
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The Cambridge Handbook of Community Empowerment
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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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