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Deep Decarbonization of Modern Energy Networks for Climate-Energy-Sustainability Nexus


Deep Decarbonization of Modern Energy Networks for Climate-Energy-Sustainability Nexus
English | 2026 | ISBN: 1394394764 | 514 pages | PDF | 9.67 MB
Transform energy infrastructure through innovative strategies for achieving carbon-free systemsDeep Decarbonization of Modern Energy Networks for Climate-Energy-Sustainability Nexusoffers effective strategies for transitioning energy infrastructure from fossil fuel dependence to sustainable, carbon-free systems. Edited by experts from the University of Tabriz, Aalborg University, and the University of Manchester, this comprehensive resource provides engineers, policymakers, and researchers with practical frameworks for reducing emissions while maintaining robust energy security.Expert contributions explore cutting-edge decarbonization strategies, from advanced energy storage and carbon removal to AI applications and cyber-physical systems. Readers gain valuable insights into net-zero emission technologies, energy security frameworks, and innovative methods for addressing energy poverty. Real-world case studies demonstrate successful climate-energy-sustainability approaches, while policymaking analysis helps overcome implementation barriers and accelerates the transition to clean energy networks.The book also offers:Comprehensive frameworks integrating climate change mitigation, energy systems planning, and sustainable development goals for modern infrastructureState-of-the-art technologies including renewable energy integration, hybrid storage systems, and carbon capture solutions for grid modernizationArtificial intelligence techniques and intelligent cyber-physical systems for optimizing carbon removal and enhancing network efficiencyConsideration for ensuring equitable transitions while maintaining reliable, cost-effective multi-energy delivery systemsIdeal for electrical power engineers, mechanical engineers, environmental engineers, policymakers, and energy researchers, this pioneering resource delivers actionable solutions for transforming energy networks. By combining technical depth with practical implementation strategies, it equips professionals with essential knowledge for advancing carbon-free energy infrastructure.

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Deep Brain Stimulation Indications and Applications, 2nd Edition


Deep Brain Stimulation: Indications and Applications, 2nd Edition
English | 2026 | ISBN: 9815352210 | 787 pages | True PDF,EPUB | 132.63 MB
Deep brain stimulation (DBS), as an interventive neurosurgical procedure, has now advanced beyond the treatment of movement disorders and now covers epilepsy, pain, and psychiatric disorders, too. Additionally, a better understanding of feedback-loop systems has led to the development of closed-loop devices such as the Medtronic Percept, which can measure electrophysiologic signals. Implementing these novel technologies will no doubt lead to further advances in our ability to help patients with both neurologic and psychiatric disorders. The interdisciplinary approach that most centers now use to provide DBS and neuromodulation is also important.This textbook on DBS has been brought together by an international faculty to provide a forum that summarizes the history, indications, potential complications, and alternatives. Similar to the first edition, many of the chapters are a result of the work from the Mayo Clinic Neural Engineering and Precision Surgery Laboratories. The textbook will serve as an overview of the field for novices, remind experts of where we have been and where we are going, and inspire further developments in this field.

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Decoding Adams' Time Chart An Illustrated Workbook for Exploring Biblical Chronology, Ancient Civilizations, and World History


Decoding Adams' Time Chart: An Illustrated Workbook for Exploring Biblical Chronology, Ancient Civilizations, and World History
English | October 14, 2026 | ASIN: B0HMZ8NXMV | 269 pages | Epub | 16.28 MB
A centuries-spanning historical chart can be fascinating, but where do you begin when its lines, names, dates, and civilizations overlap? Decoding Adams' Time Chart turns a dense nineteenth-century visual reference into a practical learning experience. This independent, illustrated workbook guides readers through the chart's structure, helps them compare events across historical regions, and shows how to distinguish traditional chronology from claims supported by historical evidence. Inside, you'll discover how to: Follow chronological streams, date markers, and parallel developments. Explore major historical periods from ancient civilizations through the modern era. Compare biblical narratives and traditional dating systems with archaeological and documentary sources. Interpret historical maps, timelines, and explanatory diagrams without confusing coincidence with causation. Practice with guided exercises, comparison activities, and reusable study templates. Evaluate historical claims by examining sources, uncertainty, and missing perspectives. Designed for independent readers, homeschool families, educators, and study groups, the book includes illustrated explanations, practical worksheets, selected answer keys, and reference materials. This is an independent educational commentary and workbook, not an official edition or complete reproduction of Sebastian C. Adams' historical foldout chart. Some activities are most useful with access to the original chart or an authorized archival edition. Learn to follow the timeline, question the evidence, and see the wider human story.

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Decision Support Systems in Smart Computing Embracing Uncertainty and Challenges


Decision Support Systems in Smart Computing: Embracing Uncertainty and Challenges
English | 2026 | ISBN: 1394399413 | 695 pages | PDF | 52.40 MB
This essential guide bridges theoretical and real-world execution, presenting actionable tools, cutting-edge methodologies, and proven case studies needed to design resilient decision systems that excel in today's complex, uncertain world.In today's data-driven world, uncertainty is constant, and smart decision-making demands systems that can adapt, reason, and respond. This book explores how modern fuzzy logic, soft computing, and multi-criteria decision-making methods are revolutionizing the way complex decisions are made in uncertain environments. It brings together global experts to present state-of-the-art methodologies like fuzzy AHP, TOPSIS, DEMATEL, picture fuzzy sets, and interval-valued fuzzy logic, applied across vital domains including smart cities, sustainable supply chains, digital healthcare, and urban infrastructure. Together, they explore both the theoretical foundations and real-world applications of intelligent decision-making methodologies.At the core of these contributions lies a common theme:the imperative to model, manage, and make informed decisions under conditions that are inherently imprecise, ambiguous, or conflicting conditions that traditional models often struggle to address. Ranging from foundational theories to advanced sector-specific applications, the book bridges the gap between research and real-world problem-solving, covering a diverse range of industries from urban planning and logistics to healthcare and environmental sustainability, demonstrating the growing reach and versatility of intelligent decision systems. Whether optimizing green logistics, evaluating public health strategies, or enabling intelligent urban planning, readers will discover actionable tools, models, and case studies that respond to today's challenges. Ideal for researchers, practitioners, and policy professionals, this book is an essential guide to designing robust, adaptive decision support systems that thrive in complexity and uncertainty.Readers will find the volume:Covers advanced fuzzy logic techniques with real-world applications in supply chain, healthcare, and smart cities;Features cutting-edge methodologies like fuzzy AHP, TOPSIS, and DEMATEL;Includes global case studies and practical decision-making tools for complex, uncertain environments;Bridges theory and practice for sustainable, data-driven decision support systems.AudienceAcademics, researchers, supply chain managers, sustainability consultants, healthcare professionals, and policymakers in fields like operations research, artificial intelligence, data science, industrial engineering, and environmental studies looking for practical implementations for fuzzy logic in complex, real-world decision scenarios.

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Data Structures & Algorithms Made Easy Learn, Understand, and Master DSA with C++


Data Structures & Algorithms Made Easy Learn, Understand, and Master DSA with C++
English | October 14, 2026 | ASIN: B0HN1QWFVN | Pages not found | PDF | 5.04 MB
Data Structures & Algorithms Made EasyLearn, Understand, and Master DSA with C++Want to learn Data Structures and Algorithms (DSA) using C++? Data Structures & Algorithms Made Easy is designed to help beginners and aspiring programmers build a strong foundation in problem-solving, programming logic, and efficient coding.This book introduces essential data structures and algorithms step by step, helping you understand how they work, when to use them, and how to implement them using C++.Whether you are a student, a beginner learning programming, or a developer looking to strengthen your technical skills, this guide can help you develop the knowledge needed to approach coding problems with confidence.What You'll LearnC++ Fundamentals: Understand the programming concepts needed to get started with DSA.Arrays and Strings: Learn how to store, access, and manipulate data efficiently.Linked Lists: Explore nodes, pointers, and different types of linked lists.Stacks and Queues: Understand these essential linear data structures and their applications.Trees and Binary Search Trees: Learn tree structures, traversal techniques, and fundamental operations.Graphs: Explore graph representations and essential graph algorithms.Searching and Sorting: Understand popular techniques for finding and organizing data.Recursion: Build problem-solving skills by breaking complex problems into smaller steps.Algorithm Analysis: Learn the basics of time complexity, space complexity, and Big-O notation.Problem-Solving Techniques: Develop logical thinking and learn to approach programming challenges systematically.Who Is This Book For?Beginners who want to learn DSA using C++.Students studying computer science and programming.Self-learners building their coding skills.Programmers preparing to strengthen their technical interview knowledge.Anyone interested in understanding how data structures and algorithms work.Build Your Programming SkillsLearning DSA is an important step toward becoming a better programmer. By understanding how data is organized and how algorithms solve problems, you can write more efficient code and develop stronger computational thinking skills.Start your journey into Data Structures and Algorithms with C++ and build a solid foundation for your programming future.

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DOES THIS SOUND LIKE AI The Words, Patterns and Habits Writers Need to Recognise (AI For Creative Professionals Book 5)


DOES THIS SOUND LIKE AI?: The Words, Patterns and Habits Writers Need to Recognise (AI For Creative Professionals Book 5)
English | September 25, 2026 | ASIN: B0HKZB28MB | 285 pages | Epub | 1.89 MB
Does This Sound Like AI? is a clear, evidence-based field guide to recognising AI-default writing and keeping an identifiable human voice on the page.It looks beyond the usual lists of suspicious words to examine the patterns readers are beginning to recognise in AI-assisted writing: the sentence constructions, tidy arguments, generic examples, over-explanation, emotional smoothing and polished competence that can gradually make very different writers sound surprisingly alike.Don't forget the perfectly balanced paragraph, the unnecessary conclusion, the three neat examples, and the character whose jaw tightens just before their breath catches.And, of course, delve.But no single word, phrase or punctuation mark proves that AI wrote something. Human beings were using all of them long before ChatGPT arrived.Drawing on published research as well as practical examples from emails, blogs, LinkedIn posts, marketing, non-fiction and fiction, Norah Deay explores what AI-default writing looks like, why it happens and why trying to disguise it with a few swapped words misses the point completely.This book also tackles the harder questions. What happens when AI edits the human out of a good piece of writing? Can perfectly human prose now be falsely suspected because it contains an AI-associated pattern? Why are writers beginning to avoid words they once used naturally? And if competent writing can now be generated in seconds, what becomes valuable instead?The answer is not deliberate mistakes, forced quirkiness or pretending AI does not exist. It is judgement, individuality and a recognisable human mind behind the work.Whether you use AI to write, edit or brainstorm, or you commission and assess other people's writing, Does This Sound Like AI? will help you recognise the patterns worth questioning without turning language into a blacklist.Because the scarce commodity is no longer words.It's a recognisable human mind behind them.