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Innovation in Nephrology : Technology Development and Commercialization Handbook
Innovation in Nephrology: Technology Development and Commercialization Handbook is a step-by-step guide to nephrology technology innovation reflects recent trends of industry globalization and value-conscious healthcare.Written by a team of medical, engineering, and business experts, the authors provide a comprehensive resource that leads clinicians, students, researchers, and entrepreneurs through a clear process for the identification, invention, and implementation of new solutions.Case studies on innovative products from around the world, successes and failures, practical advice, and end-of-chapter 'Getting Started' sections encourage readers to learn from real projects and apply important lessons to their own work.In short, this book will be of interest to every nephrologist who has ever had a good idea for an invention but does not know where and how to start bringing it to the bedside.
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Innovation Competency Model : Shaping Faculty Academic Innovation Development in China's Higher Education
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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Digital Holocaust Memory, Education and Research
This book explores the diverse range of practical and theoretical challenges and possibilities that digital technologies and platforms pose for Holocaust memory, education and research.From social media to virtual reality, 360-degree imaging to machine learning, there can be no doubt that digital media penetrate practice in these fields.As the Holocaust moves beyond living memory towards solely mediated memory, it is imperative that we pay critical attention to the way digital technologies are shaping public memory and education and research.Bringing together the voices of heritage and educational professionals, and academics from the arts and humanities and the social sciences, this interdisciplinary collection explores the practicalities of creating digital Holocaust projects, the educational value of such initiatives, and considers the extent to which digital technologies change the way we remember, learn about and research the Holocaust, thinking through issues such as ethics, embodiment, agency, community, and immersion.At its core, this volume interrogates the extent to which digital interventions in these fields mark an epochal shift in Holocaust memory, education and research, or whether they continue to be shaped by long-standing debates and guidelines developed in the broadcast era.
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Rethinking Education for Sustainable Development : Research, Policy and Practice
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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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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Gender Differences in Technology and Innovation Management : Insights from Experimental Research
Even though the number of working women has steadily increased over the last few years, women are still significantly under-represented in STEM activities (i.e. mathematics, informatics, science and technology). In order to eliminate this under-representation, numerous education policies and corporate initiatives, particularly in the recent past, have been aimed at increasing women's enthusiasm for STEM activities and professions.According to the latest surveys, however, it is clear that these efforts have not yet led to the desired success.Compared to their male counterparts, women continue to do fewer STEM activities. One possible reason for this is that relatively little is yet known about the concrete impact of the above education policies on working with innovation and technology: What are the gender differences between women and men?Is it enough to recognize these differences, or should these differences ideally not only be recognized, but also treated appropriately or even encouraged? This anthology deals with current topics in technology and innovation management against the background of these and other gender-relevant aspects.Empirical analyses and experiments in collaboration with companies from various sectors provide a sound scientific basis on which new results and findings are presented: How do women and men deal with creativity and competition?How are technologies applied and how can differences in access to technology be deduced? Answers to these and other questions help decision-makers in politics and business to proactively use the differences between women and men to motivate women to work in the STEM field and to strengthen them by acknowledging existing differences.
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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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Digital Education : Security, Readiness, and Technology Enhancement
With the onset of the COVID-19 pandemic, the education world has had to adjust to remote learning.This new book provides important research on digital pedagogies and assessment to demonstrate how technology can be effectively employed for an effective global digital learning environment. This new title brings together professional scientists and senior researchers to discuss the challenges today’s teachers and teacher-educators face in their practice.It also provides vital guidance to universities on how to develop faculty capacity to teach online.It addresses on-line learning and on-line teaching modes using the latest research, helping faculty members to design an effective digital teaching modes using evidence-based practices. Based on the expanding prospect to respond to the rise of online enrollments and the decline of face-to face education, this new book provides an important overview of digital technology-enhanced education for the 21st century STEM teachers.It examines the modern aspects of online learning by adjusting teaching practices to reflect the growing role of digital technologies.The book also features student interaction and discussion of its core themes by providing a comprehensive understanding of the technological capabilities available to them and includes research-informed and evidence-based technology integration models and instructional strategies. Readers of this reference book will learn how to adjust their practices to reflect the increasing role of digital technologies and will be encouraged to consider how digital education can prepare us all for a modern and completely new ‘information society.’ This new book is written for distance education courses for better managing online educational systems and provides readers with advanced information needed for e-learning programs in a manner that they will be capable of distinguishing among proper applications of distance education.This book is intended to support fair access to engaging digital-age education opportunities for instructional designers, faculty developers and STEM learners who take an active interest in improving online teaching.
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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 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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