Yong Zhao

This book systematically introduced the theory and application of Multidisciplinary Design Optimization (MDO) of flight vehicles. The MDO theory part includes the background, theoretical fundamentals, MDO-oriented modeling, traditional machine learning methods and deep learning-based approximation, sequential approximation modeling, sensitivity analysis, optimization search strategies, MDO optimization procedure, and uncertainty-based MDO. The MDO application covers both subsystem and system examples, including MDO of satellite inner instrument layout design, structural topology optimization, satellite system design, on-orbit servicing task optimization, and MDO of missile and aircraft. This book is characterized by the novelty and practicality with abundant contents, and it is written in an easy way for new learners. It is used by researchers and engineering designers who are engaged in design of flight vehicles or other complex industrial systems. And it is also used as textbook for graduate or undergraduate students majoring in flight vehicle design or related disciplines.

With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch.(2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast.(3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.

With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch.(2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast.(3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.

Discover how education innovations can produce astonishing results in student success both in and out of school. The educators featured in this book were motivated by the conviction that even the best status quo education was not serving current student needs. They responded with radical changes that tap into recent ideas about educational transformation: personalization, student-driven curriculum, student agency and co-ownership of learning direction, school-sheltered student entrepreneurship, student-led civic projects, creativity education, and product-oriented learning. Readers will find carefully researched and detailed stories of on-the-ground models where students learn empathy, cooperation, creativity, and self-management, alongside rigorous academics. Together these stories provide insight into the process of innovation and the elements that can make change successful. An Education Crisis Is a Terrible Thing to Waste will inspire educators in ordinary situations to take extraordinary actions toward a new paradigm of education in which all students can flourish.

Discover how education innovations can produce astonishing results in student success both in and out of school. The educators featured in this book were motivated by the conviction that even the best status quo education was not serving current student needs. They responded with radical changes that tap into recent ideas about educational transformation: personalization, student-driven curriculum, student agency and co-ownership of learning direction, school-sheltered student entrepreneurship, student-led civic projects, creativity education, and product-oriented learning. Readers will find carefully researched and detailed stories of on-the-ground models where students learn empathy, cooperation, creativity, and self-management, alongside rigorous academics. Together these stories provide insight into the process of innovation and the elements that can make change successful. An Education Crisis Is a Terrible Thing to Waste will inspire educators in ordinary situations to take extraordinary actions toward a new paradigm of education in which all students can flourish.

While focusing on various interactions between trait genes/QTL and dynamic expressions of conditional QTL genes, this book also discusses aspects of molecular marker-assisted breeding, and applications of molecular markers associated with yield, quality, physiology and disease resistance in wheat. It covers QTL studies in wheat breeding and presents the available information on wheat MAS breeding. This volume provides a wealth of novel information, a wide range of applications and deep insights into crop genetics and molecular breeding, which is valuable not only for plant breeders but also for academic faculties, senior researchers and advanced graduate students who are involved in plant breeding and genetics. Dr. Jichun Tian is a professor at the Department of Agronomy, Shandong Agricultural University, Tai’an, China.

While focusing on various interactions between trait genes/QTL and dynamic expressions of conditional QTL genes, this book also discusses aspects of molecular marker-assisted breeding, and applications of molecular markers associated with yield, quality, physiology and disease resistance in wheat. It covers QTL studies in wheat breeding and presents the available information on wheat MAS breeding. This volume provides a wealth of novel information, a wide range of applications and deep insights into crop genetics and molecular breeding, which is valuable not only for plant breeders but also for academic faculties, senior researchers and advanced graduate students who are involved in plant breeding and genetics. Dr. Jichun Tian is a professor at the Department of Agronomy, Shandong Agricultural University, Tai’an, China.

In this golden age of technology, gaining an in-depth understanding of information-driven innovation has become more important than ever. Harnessing Data for Improved Productivity provides readers a rare optimistic look into a quickly evolving landscape. The book scaffolds its analysis of data in its monumental ability to boost productivity and fuel economic growth as a novel driver for production. Long-term technology experts Sun Dan, Shen Yushi, and Zhao Yong explore this phenomenon from multiple perspectives, ensuring a holistic journey through the realm of data. They analyse its fundamental nature, trace the evolution of the ever-expanding data ecosystem, and emphasize the transformative impact of its advancements on the future. They not only examine key aspects of its lifecycle management but also the challenges and priorities in its corporate governance. The co-authors’ deeply comprehensive approach to this pressing development renders this book into quintessential reading, not only for technology experts and corporate executives, but also laypeople interested in mobilizing data for broader progress. Harnessing Data for Improved Productivity uncovers the insights needed to navigate the data revolution and leverage its full potential. By delving into its core fundamentals and its breathtaking future, this book offers readers the extraordinary power to turn the impossible into reality.

Transform educational systems by zeroing in on what matters. As schools grapple with an array of social, economic, and political challenges, education leaders must hone their focus on important tasks and learn how to navigate bureaucratic constraints, policies, and parental concerns while fostering change. This essential guide proposes that school leaders become "brave and focused," not by abandoning structures or making changes recklessly, but by understanding their influence and maximizing positive change with evidence-based decisions. Divided into three stages, Focused addresses building a leadership paradigm for outstanding schools, discusses the most influential elements for collective success, and offers solutions to the pitfalls that frequently hinder success. Other features include: Illustrative vignettes, practical examples, and storiesResearch-based action steps to become a more focused leaderFocus points at the close of each chapter to support implementing a new leadership approach Focused provides a practical guide for school leaders to successfully navigate today's complex educational systems and develop the change-makers, artisans, innovators, inventors, and civic leaders of tomorrow.

In the 1950s and 1960s, students practiced ducking under their desks in case of an atomic bomb attack. We know that this was silly and provided no protection and many school practices that are popular today are equally silly. This book explores a wide range of what the authors label "duck and cover" policies—ideas that may have started for good reasons but whose usefulness has declined over time, ideas that may lack sound theoretical foundations or long-term evidence, ideas that violate basic logic and reasoning or cause serious and proven damage. Ginsberg and Zhao explore how and why these policies were adopted, along with the underlining factors that push school leaders to maintain them. They also offer recommendations for reconsidering, replacing, or just removing these dubious strategies from practice. Topics include standardized testing, kindergarten readiness, college and career readiness, social and emotional learning, teaching evaluations, class size, professional development, time management, and much more. Duck and Cover will help readers to think about their schools' policies and practices in new ways, encouraging ongoing consideration and feedback about what actually works. Book Features:Invites K–12 educational policymakers, researchers, and practitioners to question the effectiveness of everyday practices. Shows that some commonly practiced and even sacred beliefs in education are not scientifically sound or even logical. Points to actions that leaders can take to remove, reconsider, or revise detrimental practices—a duck-and-cover audit guide with questions readers can use to examine what they do.

In the 1950s and 1960s, students practiced ducking under their desks in case of an atomic bomb attack. We know that this was silly and provided no protection and many school practices that are popular today are equally silly. This book explores a wide range of what the authors label "duck and cover" policies—ideas that may have started for good reasons but whose usefulness has declined over time, ideas that may lack sound theoretical foundations or long-term evidence, ideas that violate basic logic and reasoning or cause serious and proven damage. Ginsberg and Zhao explore how and why these policies were adopted, along with the underlining factors that push school leaders to maintain them. They also offer recommendations for reconsidering, replacing, or just removing these dubious strategies from practice. Topics include standardized testing, kindergarten readiness, college and career readiness, social and emotional learning, teaching evaluations, class size, professional development, time management, and much more. Duck and Cover will help readers to think about their schools' policies and practices in new ways, encouraging ongoing consideration and feedback about what actually works. Book Features:Invites K–12 educational policymakers, researchers, and practitioners to question the effectiveness of everyday practices. Shows that some commonly practiced and even sacred beliefs in education are not scientifically sound or even logical. Points to actions that leaders can take to remove, reconsider, or revise detrimental practices—a duck-and-cover audit guide with questions readers can use to examine what they do.

Learning for Uncertainty explores technology’s role in education, specifically unpacking the question: How should educators prepare today’s children for a world that has yet to be made? As technology evolves faster than our capacity to fully understand the social, cultural, economic, and moral implications of many innovations, today’s educators are tasked with the unique role of preparing students to capitalize on technology’s opportunities and also mitigate its dangers to their society, to democratic processes, and to institutions. Veteran educators McDiarmid and Zhao explore the implications of emerging technologies for future jobs, organizations, students, and learning, covering topics such as • The future of work and workers as technology eliminates some industries while creating new ones.• Potential futures, both bright and dark, awaiting students.• The qualities, dispositions, social behaviors, and skills that are likely to advantage students in the future.• The possibility of technology to revolutionize education in ways that will better position students for an uncertain future.• How technology can free teachers from time and effort devoted to routine matters to instead assuming roles that are potentially more satisfying and supportive of their students’ learning.• Learning opportunities and educator roles that have the potential to bring about needed changes.• Capitalizing on these uncertain times to rethink curriculum, pedagogy, opportunities to learn, and the organization of school as well as the roles of students, educators, parents, and policymakers. This latest book in the Routledge Leading Change series is ideal reading for educators and policymakers in both P–12 and higher education interested in ensuring our education systems provide the experiences and learning opportunities necessary to cultivate the innovative, iconoclastic, and generative thinkers and creators needed for a future that nourishes the minds, bodies, and spirits of all.

Learning for Uncertainty explores technology’s role in education, specifically unpacking the question: How should educators prepare today’s children for a world that has yet to be made? As technology evolves faster than our capacity to fully understand the social, cultural, economic, and moral implications of many innovations, today’s educators are tasked with the unique role of preparing students to capitalize on technology’s opportunities and also mitigate its dangers to their society, to democratic processes, and to institutions. Veteran educators McDiarmid and Zhao explore the implications of emerging technologies for future jobs, organizations, students, and learning, covering topics such as • The future of work and workers as technology eliminates some industries while creating new ones.• Potential futures, both bright and dark, awaiting students.• The qualities, dispositions, social behaviors, and skills that are likely to advantage students in the future.• The possibility of technology to revolutionize education in ways that will better position students for an uncertain future.• How technology can free teachers from time and effort devoted to routine matters to instead assuming roles that are potentially more satisfying and supportive of their students’ learning.• Learning opportunities and educator roles that have the potential to bring about needed changes.• Capitalizing on these uncertain times to rethink curriculum, pedagogy, opportunities to learn, and the organization of school as well as the roles of students, educators, parents, and policymakers. This latest book in the Routledge Leading Change series is ideal reading for educators and policymakers in both P–12 and higher education interested in ensuring our education systems provide the experiences and learning opportunities necessary to cultivate the innovative, iconoclastic, and generative thinkers and creators needed for a future that nourishes the minds, bodies, and spirits of all.

The future of education centers empowered students in a global learning ecosystem. Despite decades of reform, the traditional borders of education—graduation, curriculum, classrooms, schools—have failed to deliver on the goals of excellence and equity. Despite massive societal changes, education remains controlled by an old mindset. It is time to change that limiting mindset and, more importantly, the ineffective practices in education. To truly serve all learners, future classrooms must remove the boundaries of learning and become student-centered, culturally responsive, and personalized—supportive and equitable environments where each student can direct their own learning and seek multiple pathways to skills and knowledge in a global learning ecosystem. This compelling call for transformative change offers all involved in education Evidence-based arguments that reveal the need to break the traditional borders that limit learningStrategies to personalize learning and remove the confinement of traditional pathwaysExamples from around the world to create equitable and student-centric learning environmentsResources for creating a school learning environment that expands opportunities for personalized learning into the global learning ecosystem It is time to now imagine a different kind of learning, without borders, and to begin the shifts in practice that will result in personalized learning for all students.

Children are born learning machines who want to learn and can organize and manage their own learning. Unfortunately, today children have little choice over what they do in school and how and when they do it. Children prepared in this ""other-determined"" manner will be poorly equipped to navigate an adult world requiring that they act autonomously and self-direct learning to acquire skills in rapidly changing environments. In Teaching Students to Become Self-Determined Learners, Michael Wehmeyer and Yong Zhao explore the how and why of self-determined learning—which emphasizes autonomy and choice, turning over ownership for learning to students by supporting them in engaging in activities that are of personal value to them, thus enabling them to act volitionally. You'll learn:How to promote self-determined learning in your classroom or school. The importance of autonomy supports, competence supports, and relatednesssupports. Conditions that enable self-determined learning. Teaching strategies for self-determined learning. Assessment strategies in self-determined learning. The role of technology in self-determined living. The practical strategies, case studies, advice, and resources here will help you help your students to motivate themselves and become self-determined learners.

Redesign education to meet the needs of 21st century students. In the second edition of Leading Modern Learning, authors Jay McTighe and Greg Curtis outline a reworked version of their blueprint for major education reform. More than a simple refresh, the latest edition incorporates new insights, experiences, and tools that will help you implement modern learning practices in your department, school, or district. Use this book to guide education and curriculum reform and empower modern learners: Understand the necessity and value of education reform and updating school curriculum for the 21st century classroom. Learn how to use a blueprint for your vision of learning, mission, and curriculum development to establish mission clarity and effective instruction and assessment practices. Explore systems thinking and frameworks for backward-design that can be utilized by school leadership to develop action plans and guide school curriculum reform for modern learning. Read an all-new chapter on change management and strategic planning for district and school leadership as well as new Notes From the Field, which highlight how to avoid potential missteps and misunderstandings that inhibit progress. Utilize the appendices and free reproducibles to further your understanding of education reform, curriculum development, and school leadership for modern learning. A joint publication of ASCD and Solution Tree Contents: Foreword Introduction Chapter 1: Creating a Futures-Oriented Vision and Mission Chapter 2: From Mission to Action Chapter 3: Curriculum for Modern Learning Chapter 4: An Assessment System for Modern Learning Chapter 5: Instruction for Modern Learning Chapter 6: A Reporting System for Modern Learning Chapter 7: Leadership for Modern Learning Appendix A: Sources for Futures-Oriented Thinking Tools and Processes Appendix B: Sample Sources and Performance Indicators for 21st Century Skills Appendix C: Sample Map of Cornerstone Performance Tasks and Transfer Goals References and Resources Index

Strekk deg mot stjernene er en bok som utfordrer det etablerte tankesettet når det gjelder hva opplæring i skolen skal resultere i. Hva skal utdanning være og føre fram til i et samfunn som blir mer og mer digitalisert og globalisert? Yong Zhao utvider og utfordrer forståelsen av hva tilpasning av opplæringen kan innebære. Det er ikke bare læringsprosessene som skal tilpasses elevenes sterke sider, men utdanningssystemet må tillate at opplæringen munner ut i ulike kompetanser, mål og resultater for ulike elever. Det er den enkelte elevs unike kompetanse vi vil trenge i fremtidens samfunn. Boken diskuterer hva som skal til for å lykkes med et utdanningssystem der alle elever kan nå potensialet sitt, og hva dette vil kreve av de ulike aktørene i skolen. • Hva slags kompetanse trenger vi i framtidens samfunn? • Hva er elevenes interesser og talenter? • Kan det være mulig med et utdanningssystem som leder fram til individuelt tilpassete kompetanser for elevene? Boken utfordrer både elever, foreldre, lærere, skoleledere, skoleeiere og politikere.

Computational Fluid-Structure Interaction: Methods, Models, and Applications provides detailed explanations of a range of FSI models, their mathematical formulations, validations, and applications, with an emphasis on conservative unstructured-grid FVM. The first part of the book presents the nascent numerical methods, algorithms and solvers for both compressible and incompressible flows, computational structural dynamics (CSD), parallel multigrid, IOM, IMM and ALE methods. The second half covers the validations of these numerical methods and solvers, as well as their applications in a broad range of areas in basic research and engineering.