Monica Bhatia – författare

For more than 30 years, the highly regarded Secrets Series� has provided students and practitioners in all areas of health care with concise, focused, and engaging resources for quick reference and exam review. Pediatric Hematology & Oncology Secrets, 2nd Edition, offers practical, up-to-date coverage of the full range of essential topics in this dynamic field. This highly regarded resource features the Secrets’ popular question-and-answer format that also includes lists, tables, pearls, memory aids, and an easy-to-read style - making inquiry, reference, and review quick, easy, and enjoyable.

Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.Demystifies the theory of data analytics using a step-by-step approachCovers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming codeIntroduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and toolsCovers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications

Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book''s focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader''s needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.- Demystifies the theory of data analytics using a step-by-step approach- Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code- Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools- Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications

The Circular Economy and their Management: Recycling, Reuse, and Waste-to-Energy Innovations examines how circular economy principles can revolutionize the clean energy sector. The book provides a comprehensive roadmap for integrating sustainable practices into energy systems, focusing on innovative strategies for recycling, reusing materials, and converting waste into energy. Through detailed case studies, cutting-edge research, and practical insights, it addresses the urgent need to transition from a linear "take-make-dispose" model to a circular approach that minimizes waste, maximizes resource efficiency, and supports the global energy transition.From advanced recycling technologies to waste-to-energy innovations and policy frameworks, this book equips readers with the knowledge and tools to drive sustainable change in industries, governments, and communities. It is an essential resource for researchers, policymakers, industry leaders, and students seeking to understand and implement circular economy solutions in the clean energy landscape, and in sustainable and efficient waste management.Provides a detailed roadmap for integrating circular economy principles into clean energy, covering recycling, reuse, and waste-to-energy innovationsExplores advanced recycling methods, second-life applications for energy components, and emerging waste-to-energy technologies such as plasma gasification and bioenergy with carbon captureIncludes global case studies and examples of successful circular economy implementations in the energy sector, offering actionable insights for readersDiscusses policy frameworks, economic implications, and innovative business models that support circular practices, helping stakeholders navigate regulatory and financial challenges

Comprehensive examination of green hydrogen’s transformative potential in reducing carbon emissions across various sectors Hydrogen Technologies in Decarbonizing Industries and Energy Systems is a thorough discussion of green hydrogen’s transformative potential in reducing carbon emissions across various sectors, covering technological, managerial, and policy aspects. Practical insights are provided through detailed case studies and real-world examples to ensure concepts are relatable and practicable. The book begins by introducing the fundamentals of green hydrogen, tracing its historical development, and explaining its critical role in global decarbonization efforts. It then delves into the latest technological innovations, such as advancements in electrolysis, storage, transportation, and integration with renewable energy sources. Discussion on industrial applications highlights how green hydrogen can decarbonize heavy industries like steel, cement, and chemicals, and explains its use in transportation and power generation. From a management perspective, the book explores strategic planning for adopting green hydrogen, operational changes, supply chain management, workforce development, and risk management. The book also includes information on: The current policy and regulatory landscape, identifying challenges and offering recommendations to promote green hydrogen adoptionCost-benefit aspects of green hydrogen projects, investment trends, and the global economic impact of this technologyEnvironmental and social impacts of green hydrogen, including job creation and community effectsEnergy conservation and demand response, covering smart thermostats and peak load managementThermochemical water splitting, covering splitting cycles, reaction materials and catalysts, process engineering and reactor design and energy input and efficiencyHydrogen Technologies in Decarbonizing Industries and Energy Systems empowers industry professionals, policymakers, and researchers and academics to contribute to the decarbonization of industries and energy systems, fostering a sustainable future for all.

Comprehensive examination of green hydrogen s transformative potential in reducing carbon emissions across various sectors Hydrogen Technologies in Decarbonizing Industries and Energy Systems is a thorough discussion of green hydrogen s transformative potential in reducing carbon emissions across various sectors, covering technological, managerial, and policy aspects. Practical insights are provided through detailed case studies and real-world examples to ensure concepts are relatable and practicable. The book begins by introducing the fundamentals of green hydrogen, tracing its historical development, and explaining its critical role in global decarbonization efforts. It then delves into the latest technological innovations, such as advancements in electrolysis, storage, transportation, and integration with renewable energy sources. Discussion on industrial applications highlights how green hydrogen can decarbonize heavy industries like steel, cement, and chemicals, and explains its use in transportation and power generation. From a management perspective, the book explores strategic planning for adopting green hydrogen, operational changes, supply chain management, workforce development, and risk management. The book also includes information on: The current policy and regulatory landscape, identifying challenges and offering recommendations to promote green hydrogen adoptionCost-benefit aspects of green hydrogen projects, investment trends, and the global economic impact of this technologyEnvironmental and social impacts of green hydrogen, including job creation and community effectsEnergy conservation and demand response, covering smart thermostats and peak load managementThermochemical water splitting, covering splitting cycles, reaction materials and catalysts, process engineering and reactor design and energy input and efficiency Hydrogen Technologies in Decarbonizing Industries and Energy Systems empowers industry professionals, policymakers, and researchers and academics to contribute to the decarbonization of industries and energy systems, fostering a sustainable future for all.

Comprehensive examination of green hydrogen s transformative potential in reducing carbon emissions across various sectors Hydrogen Technologies in Decarbonizing Industries and Energy Systems is a thorough discussion of green hydrogen s transformative potential in reducing carbon emissions across various sectors, covering technological, managerial, and policy aspects. Practical insights are provided through detailed case studies and real-world examples to ensure concepts are relatable and practicable. The book begins by introducing the fundamentals of green hydrogen, tracing its historical development, and explaining its critical role in global decarbonization efforts. It then delves into the latest technological innovations, such as advancements in electrolysis, storage, transportation, and integration with renewable energy sources. Discussion on industrial applications highlights how green hydrogen can decarbonize heavy industries like steel, cement, and chemicals, and explains its use in transportation and power generation. From a management perspective, the book explores strategic planning for adopting green hydrogen, operational changes, supply chain management, workforce development, and risk management. The book also includes information on: The current policy and regulatory landscape, identifying challenges and offering recommendations to promote green hydrogen adoptionCost-benefit aspects of green hydrogen projects, investment trends, and the global economic impact of this technologyEnvironmental and social impacts of green hydrogen, including job creation and community effectsEnergy conservation and demand response, covering smart thermostats and peak load managementThermochemical water splitting, covering splitting cycles, reaction materials and catalysts, process engineering and reactor design and energy input and efficiency Hydrogen Technologies in Decarbonizing Industries and Energy Systems empowers industry professionals, policymakers, and researchers and academics to contribute to the decarbonization of industries and energy systems, fostering a sustainable future for all.

In the rapidly evolving landscape of the modern world, understanding the fundamentals of these interconnected domains is not just a choice but a necessity for those aspiring to lead and thrive. Decision Making with Exponential Technologies for Leaders is a fascinating exploration of the dynamic and transformative journey through the intersecting territories of exponential technologies, principles of management, the evolving role of leaders, strategic decision-making, and the compelling concept of disruptive leadership.Decision Making with Exponential Technologies for Leaders serves as a comprehensive guide for reader s eager to investigate into the intricate web of Basics of Exponential Technologies, Principles of Management, Evolving Role of Leaders, Strategic Decision Making, and the paradigm-shifting philosophy of Disruptive Leadership. It is designed to equip both aspiring and seasoned leaders with the knowledge and insights needed to navigate the complexities of the contemporary business environment.

In the rapidly evolving landscape of the modern world, understanding the fundamentals of these interconnected domains is not just a choice but a necessity for those aspiring to lead and thrive. Decision Making with Exponential Technologies for Leaders is a fascinating exploration of the dynamic and transformative journey through the intersecting territories of exponential technologies, principles of management, the evolving role of leaders, strategic decision-making, and the compelling concept of disruptive leadership.Decision Making with Exponential Technologies for Leaders serves as a comprehensive guide for reader’s eager to investigate into the intricate web of Basics of Exponential Technologies, Principles of Management, Evolving Role of Leaders, Strategic Decision Making, and the paradigm-shifting philosophy of Disruptive Leadership. It is designed to equip both aspiring and seasoned leaders with the knowledge and insights needed to navigate the complexities of the contemporary business environment.