180 Days of Science is a fun and effective daily practice workbook designed to help students explore the three strands of science: life, physical, and earth and space. This easy-to-use fifth grade workbook is great for at-home learning or in the classroom. The engaging standards-based activities cover grade-level skills with easy to follow instructions and an answer key to quickly assess student understanding. Students will explore a new topic each week building content knowledge, analyzing data, developing questions, planning solutions, and communicating results. Watch as students are motivated to learn scientific practices with these quick independent learning activities.Parents appreciate the teacher-approved activity books that keep their child engaged and learning. Great for homeschooling, to reinforce learning at school, or prevent learning loss over summer.Teachers rely on the daily practice workbooks to save them valuable time. The ready to implement activities are perfect for daily morning review or homework. The activities can also be used for intervention skill building to address learning gaps. Aligns to Next Generation Science Standards (NGSS).
The challenges facing today's sales executives and their organizations continue to grow, but so do the expectations that they will find ways to overcome them and drive consistent sales growth. There are no simple solutions to this situation, but in this thoroughly updated Second Edition of Sales Growth, experts from McKinsey & Company build on their practical blueprint for achieving this goal and explore what world-class sales executives are doing right now to find growth and capture it—as well as how they are creating the capabilities to keep growing in the future. Based on discussions with more than 200 of today's most successful global sales leaders from a wide array of organizations and industries, Sales Growth puts the experiences of these professionals in perspective and offers real-life examples of how they've overcome the challenges encountered in the quest for growth. The book, broken down into five overarching strategies for successful sales growth, shares valuable lessons on everything from how to beat the competition by looking forward, to turning deep insights into simple messages for the front line. Page by page, you'll learn how sales executives are digging deeper than ever to find untapped growth, maximizing emerging markets opportunities, and powering growth through digital sales. You'll also discover what it takes to find big growth in big data, develop the right "sales DNA" in your organization, and improve channel performance. Three new chapters look at why presales deserve more attention, how to get the most out of marketing, and how technology and outsourcing could entirely reshape the sales function. Twenty new standalone interviews have been added to those from the first edition, so there are now in-depth insights from sales leaders at Adidas, Alcoa, Allianz, American Express, BMW, Cargill, Caterpillar, Cisco, Coca-Cola Enterprises, Deutsche Bank, EMC, Essent, Google, Grainger, Hewlett Packard Enterprise, Intesa Sanpaolo, Itaú Unibanco, Lattice Engines, Mars, Merck, Nissan, P&G, Pioneer Hi-Bred, Salesforce, Samsung, Schneider Electric, Siemens, SWIFT, UPS, VimpelCom, Vodafone, and Würth. Their stories, as well as numerous case studies, touch on some of the most essential elements of sales, from adapting channels to meet changing customer needs to optimizing sales operations and technology, developing sales talent and capabilities, and effectively leading the way to sales growth. Engaging and informative, this timely book details proven approaches to tangible top-line growth and an improved bottom line. Created specifically for sales executives, it will put you in a better position to drive sales growth in today's competitive market.
180 Days of Science is a fun and effective daily practice workbook designed to help students explore the three strands of science: life, physical, and earth and space. This easy-to-use sixth grade workbook is great for at-home learning or in the classroom. The engaging standards-based activities cover grade-level skills with easy to follow instructions and an answer key to quickly assess student understanding. Students will explore a new topic each week building content knowledge, analyzing data, developing questions, planning solutions, and communicating results. Watch as students are motivated to learn scientific practices with these quick independent learning activities.Parents appreciate the teacher-approved activity books that keep their child engaged and learning. Great for homeschooling, to reinforce learning at school, or prevent learning loss over summer.Teachers rely on the daily practice workbooks to save them valuable time. The ready to implement activities are perfect for daily morning review or homework. The activities can also be used for intervention skill building to address learning gaps. Aligns to Next Generation Science Standards (NGSS).
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
This essential guide empowers readers to leverage artificial intelligence (AI) as a tool for efficiency, financial viability, growth and innovation and as a force for positive social and environmental impact, creating sustainable shared value for all stakeholders. It explores the transformative role of artificial intelligence (AI) in advancing business sustainability and explains how technology and the use of AI, including generative AI and Large Language Models (LLMs), can foster and promote sustainability initiatives as well as measure, report and analyse key performance indicators (KPIs) in sustainability. AI for Sustainable Business offers a strategic roadmap for integrating AI to foster responsible, long-term sustainable business practices. Using straightforward language, the book helps to unpack the sometimes complex theoretical and practical concepts and procedures. As businesses increasingly recognize the importance of sustainability, the challenge lies in effectively integrating sustainable practices with advanced technologies. The book addresses this challenge by offering practical insights, frameworks, and case studies that illustrate the successful implementation of AI in various business contexts. It highlights the potential of AI to optimize resource use, reduce environmental impact, and improve corporate governance while maintaining competitive advantage. This book enables businesses to make more informed decisions, optimize their operations, and promote sustainable practices, ultimately contributing to a more sustainable future by providing practical insights for leaders, managers, and policymakers.This book should be a mandatory desktop reference for corporate directors, officers, advisors, legal counsel, accountants and auditors who are engaged in sustainability factors of planning, performance, risk, reporting and assurance. It also provides business leaders, academics, and students with a comprehensive understanding of how AI can be strategically integrated into business operations to enhance sustainability, drive innovation, and create long-term value.
This essential guide empowers readers to leverage artificial intelligence (AI) as a tool for efficiency, financial viability, growth and innovation and as a force for positive social and environmental impact, creating sustainable shared value for all stakeholders. It explores the transformative role of artificial intelligence (AI) in advancing business sustainability and explains how technology and the use of AI, including generative AI and Large Language Models (LLMs), can foster and promote sustainability initiatives as well as measure, report and analyse key performance indicators (KPIs) in sustainability. AI for Sustainable Business offers a strategic roadmap for integrating AI to foster responsible, long-term sustainable business practices. Using straightforward language, the book helps to unpack the sometimes complex theoretical and practical concepts and procedures. As businesses increasingly recognize the importance of sustainability, the challenge lies in effectively integrating sustainable practices with advanced technologies. The book addresses this challenge by offering practical insights, frameworks, and case studies that illustrate the successful implementation of AI in various business contexts. It highlights the potential of AI to optimize resource use, reduce environmental impact, and improve corporate governance while maintaining competitive advantage. This book enables businesses to make more informed decisions, optimize their operations, and promote sustainable practices, ultimately contributing to a more sustainable future by providing practical insights for leaders, managers, and policymakers.This book should be a mandatory desktop reference for corporate directors, officers, advisors, legal counsel, accountants and auditors who are engaged in sustainability factors of planning, performance, risk, reporting and assurance. It also provides business leaders, academics, and students with a comprehensive understanding of how AI can be strategically integrated into business operations to enhance sustainability, drive innovation, and create long-term value.
With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry. To prevent this, it is important to precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis reviews diagnosis technologies and provides an application guide for readers who want to research, develop, and implement a more effective fault diagnosis and condition monitoring scheme—thus improving safety and reliability in electric motor operation. It also supplies a solid foundation in the fundamentals of fault cause and effect. Combines Theoretical Analysis and Practical ApplicationWritten by experts in electrical engineering, the book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and practical application. It begins by explaining how to analyze the fundamentals of machine failure using the winding functions method, the magnetic equivalent circuit method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and a pattern recognition scheme. Emphasizing the MCSA implementation method, the authors discuss robust signal processing techniques and the implementation of reference-frame-theory-based fault diagnosis for hybrid vehicles.Fault Modeling, Diagnosis, and Implementation in One VolumeBased on years of research and development at the Electrical Machines & Power Electronics (EMPE) Laboratory at Texas A&M University, this book describes practical analysis and implementation strategies that readers can use in their work. It brings together, in one volume, the fundamentals of motor fault conditions, advanced fault modeling theory, fault diagnosis techniques, and low-cost DSP-based fault diagnosis implementation strategies.
With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry. To prevent this, it is important to precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis reviews diagnosis technologies and provides an application guide for readers who want to research, develop, and implement a more effective fault diagnosis and condition monitoring scheme—thus improving safety and reliability in electric motor operation. It also supplies a solid foundation in the fundamentals of fault cause and effect. Combines Theoretical Analysis and Practical ApplicationWritten by experts in electrical engineering, the book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and practical application. It begins by explaining how to analyze the fundamentals of machine failure using the winding functions method, the magnetic equivalent circuit method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and a pattern recognition scheme. Emphasizing the MCSA implementation method, the authors discuss robust signal processing techniques and the implementation of reference-frame-theory-based fault diagnosis for hybrid vehicles.Fault Modeling, Diagnosis, and Implementation in One VolumeBased on years of research and development at the Electrical Machines & Power Electronics (EMPE) Laboratory at Texas A&M University, this book describes practical analysis and implementation strategies that readers can use in their work. It brings together, in one volume, the fundamentals of motor fault conditions, advanced fault modeling theory, fault diagnosis techniques, and low-cost DSP-based fault diagnosis implementation strategies.
An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.
This practical guide enables readers to recognize, assess, and defend against gray behaviors—attempts to persuade listeners using fallacious arguments. It provides valuable tools for communicating successfully in a wide variety of public and professional contexts.The book examines 20 wide-ranging logical fallacies, cognitive errors, and rhetorical devices that may take place in persuasive communication, and discusses how to assess and respond the behavior of a speaker who may be disingenuously attempting to manipulate the listener—or who may simply be mistaken. Drawing upon research and insights from communication, psychology, business management, and human resources, it considers fallacies in reasoning not just as abstract formulas, but as a feature of communication encounters such as negotiations, interviews, public debates, and personal conversations. Each form of fallacious reasoning is exemplified by dialogues in both professional settings (such as interviewing and personnel assessment), as well as everyday interactions in public discourse. The book then provides self-assessment tests to ensure the reader can evaluate the grey behavior in these encounters.This book provides research-based skills and insights that will benefit students and professionals in fields ranging from communication, politics, management, human resources, organizational psychology, journalism, and anyone else looking to develop critical interaction skills.
This practical guide enables readers to recognize, assess, and defend against gray behaviors—attempts to persuade listeners using fallacious arguments. It provides valuable tools for communicating successfully in a wide variety of public and professional contexts.The book examines 20 wide-ranging logical fallacies, cognitive errors, and rhetorical devices that may take place in persuasive communication, and discusses how to assess and respond the behavior of a speaker who may be disingenuously attempting to manipulate the listener—or who may simply be mistaken. Drawing upon research and insights from communication, psychology, business management, and human resources, it considers fallacies in reasoning not just as abstract formulas, but as a feature of communication encounters such as negotiations, interviews, public debates, and personal conversations. Each form of fallacious reasoning is exemplified by dialogues in both professional settings (such as interviewing and personnel assessment), as well as everyday interactions in public discourse. The book then provides self-assessment tests to ensure the reader can evaluate the grey behavior in these encounters.This book provides research-based skills and insights that will benefit students and professionals in fields ranging from communication, politics, management, human resources, organizational psychology, journalism, and anyone else looking to develop critical interaction skills.
Seismic assessment and earthquake-resistant design are essential applications of earthquake engineering for achieving seismic safety for buildings, bridges, infrastructure, and many other components of the built environment. The Endurance Time Method (ETM) is used for seismic analysis of simple and complex structural systems and civil engineering infrastructure as well as producing optimal and cost-effective structural and detail designs. ETM is a relatively new approach to seismic assessment and design of structures. It has developed into a versatile tool in the field, and its practical applications are expected to increase greatly in the near future.
Seismic assessment and earthquake-resistant design are essential applications of earthquake engineering for achieving seismic safety for buildings, bridges, infrastructure, and many other components of the built environment. The Endurance Time Method (ETM) is used for seismic analysis of simple and complex structural systems and civil engineering infrastructure as well as producing optimal and cost-effective structural and detail designs. ETM is a relatively new approach to seismic assessment and design of structures. It has developed into a versatile tool in the field, and its practical applications are expected to increase greatly in the near future.
