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This book is an effort to fill the gap of a comprehensive textbook that covers topics related to green energy sources. It connects climate change, sustainable development goals, and green electricity as a simple text for students, faculty, and practising engineers. It explains the green energy technology as a key part of the overall electricity network and brings practical system insights. The author's unique experience as an academic, researcher, and policy maker, combined with first-hand experience in the field, makes the book rich in practical insights, case studies and real-world applications. It also presents a clear roadmap for any organization to implement green energy setup, implement energy efficiency and conservation measures and hence reduce carbon footprints. A detailed coverage on policies, regulation, major projects etc. in the country is one of the key strengths of the book.
In this revised and updated edition, An Economic History of Europe re-establishes itself as the leading textbook on European economic history. With an expanded scope, from prehistory to the present, it will be invaluable source for students, educators and researchers seeking to better understand Europe's long-run economic development. The authors cover key themes including the rise of institutions, technological advancements, globalization, and the Industrial Revolution, with a fresh emphasis on the wider impact of economic policies on welfare reflecting a broader understanding of societal well-being. The chronological structure, clear explanations, case studies, and minimal use of complex mathematics make this an accessible approach that allows students to apply economic theories in historical practice. The new edition also connects historical development to urgent contemporary issues such as modern-day sustainability goals. This comprehensive guide provides students with both a historical narrative of Europe's economic transformation, and the essential tools for analysing it.
With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathematics, computer science, and engineering. Authored by two influential researchers, the book covers both convex analysis basics and modern topics such as conic programming, conic representations of convex sets, and cone-constrained convex problems, providing readers with a solid, up-to-date understanding of the field. By excluding modeling and algorithms, the authors are able to discuss the theoretical aspects in greater depth. Over 170 in-depth exercises provide hands-on experience with the theory, while more than 30 'Facts' and their accompanying proofs enhance approachability. Instructors will appreciate the appendices that cover all necessary background and the instructors-only solutions manual provided online. By the end of the book, readers will be well equipped to engage with state-of-the-art developments in optimization and its applications in decision-making and engineering.
Quality arts education delivered in early childhood has a positive impact on children's early development and learning. The Arts and Meaning-Making with Children focuses on arts in early childhood through the lenses of 'play' and 'meaning making'. Examples of creative arts such as drawing, painting, sculpture, movement, music, dramatising and storytelling are provided alongside theoretical principles, to showcase how children can express ideas and make meaning from early ages. Each chapter includes case studies, examples of arts-based research, links to the EYLF guidelines, and end-of-chapter questions and activities to engage students and help them reflect on the content. Suggested adaptations for younger and older children are also included. Written by experienced educators, artists and academics, The Arts and Meaning-Making with Children offers a focused, in-depth exploration of the arts in early childhood and is an essential resource for pre-service and in-service educators.
The rules, doctrines and policies governing corporations and financial markets are complex and ever-changing in response to global, social and commercial needs. Contemporary Australian Corporate Law is a well-established foundational text that explores these rules and laws in detail, including the history and context in which they are established, how they are developed and how they will continue to evolve in the future. The third edition has been updated to include recent developments in legislation, case law and corporate governance. Discussion of financial markets and financial services has been modified in response to changes to the Corporations Act 2001 including amendments to the continuous disclosure requirements in Chapter 6CA. It considers the recently passed Treasury Laws Amendment (Financial Market Infrastructure and Other Measures) Act 2024 which covers climate disclosure obligations. The clear structure and detailed exploration of key concepts encourages students to develop a contextual understanding of corporate law.
Humanity's impact on the planet is undeniable. Fairly and effectively addressing environmental problems begins with understanding their causes and impacts. Is overpopulation the main driver of environmental degradation? Poverty? Capitalism? Poor governance? Imperialism? Patriarchy? Clearly these are not technical questions, but political ones. Updated to cover new debates, data, and policy, and expanded to include chapters on colonialism, race and gender, and the impacts of energy and resource extraction, this book introduces students to diverse perspectives and helps them develop an informed understanding of why environmental problems occur. How the international community should act is deeply contested. Guiding students through the potential responses, including multilateral diplomacy, transnational voluntary action, innovative financial mechanisms, problem displacement, consumer-focused campaigns, and resistance, this book explains the different forms of political action, their limitations and injustices. Online resources include lecture slides, a test bank for instructors and updated weblinks to videos and suggested readings for students.
An essential resource for trainee teachers and graduate students, this textbook presents strategies and practical advice for preparing and planning lessons in a clear, step-by-step way and demonstrates how to inspire confidence and competence in language learners. Chapters cover many important aspects of initial teacher training including skills development; modes of teaching; unit and lesson planning; assessment; remote learning; digital literacy, and student and teacher wellbeing. Packed with pedagogical value, each chapter includes clear learning objectives, concise chapter summaries, defined key terms, interactive box features, reflective questions and further reading recommendations. Supplementary resources include templates for planning and assessment, feed-forward and feedback forms, extra tasks and activities, and sample answers. By connecting theory and practice, this authoritative guide provides trainee teachers with the necessary tools to develop the knowledge, skills and methods required to become an effective modern languages teacher in a contemporary world.
This textbook introduces the fundamentals of MATLAB for behavioral sciences in a concise and accessible way. Written for those with or without computer programming experience, it works progressively from fundamentals to applied topics, culminating in in-depth projects. Part I covers programming basics, ensuring a firm foundation of knowledge moving forward. Difficult topics, such as data structures and program flow, are then explained with examples from the behavioral sciences. Part II introduces projects for students to apply their learning directly to real-world problems in computational modelling, data analysis, and experiment design, with an exploration of Psychtoolbox. Accompanied by online code and datasets, extension materials, and additional projects, with test banks, lecture slides, and a manual for instructors, this textbook represents a complete toolbox for both students and instructors.
This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML tools for effective wireless system design, and supports them in exploring ways in which future wireless networks can be designed to enable more effective deployment of federated and distributed learning techniques to enable AI systems. Requiring no previous knowledge of ML, this accessible introduction includes over 20 worked examples demonstrating the use of theoretical principles to address real-world challenges, and over 100 end-of-chapter exercises to cement student understanding, including hands-on computational exercises using Python. Accompanied by code supplements and solutions for instructors, this is the ideal textbook for a single-semester senior undergraduate or graduate course for students in electrical engineering, and an invaluable reference for academic researchers and professional engineers in wireless communications.
Critical to successful engagement in any organisation is an understanding of the important elements affecting good communication. There are many dimensions to the study of communication in the 21st century, both generally and in health service settings, in the 21st century. This chapter considers the foundational concepts, with references to help students discover more about communication in organisational, social and cultural settings. Many believe that even the definition of communication is worth questioning. As a notion it is so discursive and diverse that any definition other than the simplest becomes so complex as to cease being useful.
The complexities inherent in healthcare organisations highlight the multifaceted nature of their operations. Regardless of role, scale, procedural intricacies or governance structures, these organisations need to deal with the complexities of both internal dynamics and external landscapes. The diversity of stakeholders involved adds layers of challenge to effectively managing clinical and social processes, optimising outcomes, allocating resources equitably, developing and retaining a skilled workforce, making informed decisions and upholding ethical standards.
Designed for graduate students, instructors, and seasoned researchers, this is an essential guide for robust research design and methodology in applied linguistics, covering qualitative, quantitative, and mixed methods research. It adopts a structured approach, starting with the foundational principles of research design, methodology, and data collection and analysis, to writing and interpreting, explaining, and reporting research results, bringing together all the steps and processes of research from start to finish in one single volume in a way that is practical, easy to follow, and easy to understand. Throughout, the emphasis is on the process of research and the application of various research techniques and principles across different areas. These characteristics, coupled with numerous pedagogical features such as key term reviews, visuals, research scenarios, and many discussion and activity questions, make the book an indispensable reference and a valuable textbook for courses in second language and applied linguistics research.
The advent of the digital age has brought about significant changes in how information is created, disseminated and consumed. Recent developments in the use of big data and artificial intelligence (AI) have brought all things digital into sharp focus. Big data and AI have played pivotal roles in shaping the digital landscape. The term ‘big data’ describes the vast amounts of structured and unstructured data generated every day. Advanced analytics on big data enable businesses and organisations to extract valuable insights, make informed decisions and enhance various processes. AI, on the other hand, has brought about a paradigm shift in how machines learn, reason and perform tasks traditionally associated with human intelligence. Machine-learning algorithms, a subset of AI, process vast datasets to identify patterns and make predictions. This has applications across diverse fields, including health care, finance, marketing and more. The combination of big data and AI has fuelled advancements in areas such as personalised recommendations, predictive analytics and automation in all aspects of our day-to-day lives.
Managers and leaders need to critically analyse their own thinking and decision-making processes so they can objectively evaluate the problems and issues they face every day. To do this they need to understand their personal preferences, prejudices, values and cultural beliefs, and their motivations and desires. It is also important for them to understand how these factors shape the biases managers and leaders take to decision-making. To achieve success, they require the ability to analyse, synthesise and evaluate material, and to assemble their thoughts in a logical argument.
The financial management of healthcare organisations is a key management responsibility for both public and private facilities. While this responsibility has always been important, it is becoming increasingly more so, with the rising costs of healthcare provision due to advances in technology and rising rates of chronic disease and ageing populations. The responsible use and management of scarce healthcare resources requires knowledge and information. The accounting process provides the necessary information to develop and monitor a budget. However, it is the financial management of the budget and associated activity levels that provide the necessary framework to ensure budget integrity and financial governance.
Effective strategic planning, implementation and management drive organisational performance. Healthcare managers have recognised the increasing importance of strategic planning and management as the healthcare industry has become more dynamic and complex. However, development of feasible strategy can be difficult, and implementation of even well-developed strategy is often challenging. This has become increasingly complex as healthcare organisations aim to implement triple bottom-line (TBL) reporting to better ensure sustainability. This chapter provides advice on leading and improving strategic planning and management for sustainability in health-service organisations.