Time Series Analysis in Earthquake Complex Networks
Earthquake time series are complex due to the variety of forces affecting earthquake generation, the complexity of the Earth's crust and mantle structure, where the earthquake source develops, and the complexity of the earthquake development process in space (generation of elementary cracks, their multiplication and coalescence, leading to main fault formation and final rupture) and time (kinetics of the different stages of the fracturing process). The early stages of the process developing in the deep layers of the Earth's crust cannot be studied in detail experimentally; at present, the only mechanism through which to model these initial stages of earthquake source development is experimental and theoretical modelling. New physical/mathematical methods of data analysis, such as nonlinear dynamics, artificial intelligence/machine learning/deep learning, non-extensive statistical analysis, natural time analysis, and complex network approaches, enable us to obtain mathematical regularities underlying physical/geophysical processes using only the time series of experimental observations.The aim of this Special Issue is to examine the progress in the analysis of complex systems' time series during the fracture process using new approaches to understanding the complexity of earthquake time series.
SAP S/4HANA aATP
In today's fast-paced and customer-driven market, supply chain precision is no longer optional-it is essential. Master SAP S/4HANA aATP delivers a practical, implementation-focused guide to leveraging Advanced Available-to-Promise (aATP) capabilities to transform supply chain performance and customer fulfillment.Designed for SAP consultants, supply chain professionals, and ERP practitioners, this book provides clear, step-by-step guidance on configuring and optimizing aATP within SAP S/4HANA. Readers will learn how to improve inventory visibility, execute real-time order fulfillment, manage backorders efficiently, and enhance customer satisfaction through intelligent availability confirmation.Inside, you will discover how to: Configure and implement SAP S/4HANA aATP effectivelyOptimize inventory allocation and product availabilityExecute real-time availability checks and substitutionsManage backorder processing with advanced rules-based logicImprove supply-demand matching across complex networksAlign SAP capabilities with modern supply chain strategiesWhether you are implementing aATP for the first time or enhancing an existing SAP S/4HANA landscape, this guide bridges the gap between system functionality and real-world supply chain execution.Transform your order fulfillment processes, increase operational transparency, and unlock the full potential of SAP S/4HANA aATP to drive supply chain excellence.
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
This up-to-date All-in-One exam guide delivers complete coverage of every topic on the N10-009 version of the CompTIA Network+ Certification examGet complete coverage of all the CompTIA Network+ exam objectives inside this comprehensive resource. Written by Jonathan Weissman and created and edited by Mike Meyers, the leading expert on CompTIA certification and training, CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition covers exam N10-009 in full detail. You'll find learning objectives at the beginning of each chapter, exam tips, scenarios, practice exam questions, and in-depth explanations. Designed to help you pass the exam with ease, this authoritative guide also serves as an essential on-the-job reference.Covers all exam topics, including: OSI Model and Number SystemsLocal Communication vs. Remote Communication, ARP, and ICMPIPv4Ports, TCP, and UDPRoutingSwitchingDNS and DHCPIPv6CablingEthernetInstalling a Physical NetworkWireless NetworkingVirtualization and Cloud ComputingData CentersDevices, Access, Management, and MonitoringPolicies and ProceduresNetwork SecurityTroubleshootingOnline content includes: 180 practice exam questions in a customizable test engine20+ lab simulations to help you prepare for the performance-based questionsOne hour of video training from Mike MeyersMike Meyers' favorite shareware and freeware networking tools and utilities
Social AI Revolution
Embark on a Digital Odyssey: Become a Maestro of AI-Enhanced CreativityIn the ever-evolving realm of social media, there lies an untapped frontier - the intersection of artificial intelligence and content creation. Imagine wielding the transformative power of AI to not only participate but dominate social media engagement. "Social AI Revolution: Winning Tactics for the Smart Content Creator" is your ultimate guide to mastering this digital renaissance. As you embark on this riveting journey, you will unravel the pioneering tactics that will crown you the sovereign of smart content creation.Navigate the nascent landscape of Social AI with a keen, strategic outlook that delineates the future of digital interaction. Chapter 1 invites you to comprehend the seismic shift AI is causing in social media dynamics - a requisite understanding for any modern content creator. Where others grapple with change, you will be welcoming it with open arms and a shrewd mind.From unearthing the quintessential tools that beckon success to painting the grand picture of your AI-augmented social media strategy, every chapter unfurls critical insights. With a focus on leveraging AI for heartbreaking personalization and distribution efficiencies, you'll learn how to craft content that resonates deeply - honing in on your audience like never before.Yet, with great power comes great responsibility. Chapter 9 dives into the ethical caverns of AI content creation. Steer clear of pitfalls as you chart a course through complicated moral waters, ensuring your creations shine with integrity. And lest you worry about being outpaced, Chapter 10 fortifies you with the skills to stay up-to-speed with AI's rapid evolutions, rendering you invincible in the face of change.Whether you're eyeing the viral zenith or the pragmatic gains from monetization, your approach will be revolutionized. Equip yourself with "Social AI Revolution: Winning Tactics for the Smart Content Creator" and transform from a mere participant into a vanguard of the content frontier. The future isn't just coming; with this book in your arsenal, you are the future.
Python in Depth
Step Into the Future of Coding with Python: Your Comprehensive Guide AwaitsDive into the vibrant universe of Python and emerge as a skilled coder and programmer equipped with the knowledge to tackle any challenge the digital world throws your way. Python in Depth: A Multipurpose Coder and Programmer's Guide is not just another programming book; it's a beacon guiding you through the ever-evolving landscape of Python, from basic concepts to the most advanced applications.Begin your journey with an insightful introduction that not only welcomes you to the Python community but also prepares you for the exciting path ahead. Explore the world of Python in our first chapter, understanding why Python's simplicity and versatility make it the go-to language for professionals worldwide. Whether you're setting up your environment, selecting an IDE, or diving into Python's syntax and structure, this guide ensures a smooth initiation into coding practices that matter.But that's just the start.As you progress, immerse yourself in intermediate and advanced topics that are crucial for modern development. From object-oriented programming, exception handling, to exploring Python's extensive library ecosystem, every chapter serves as a stepping stone towards mastery. Delve into databases, web frameworks like Django and Flask, and unlock the potential of Python in data science, machine learning, and beyond.What truly sets this guide apart is its dedication to not just teaching Python, but doing so in a manner that promotes readability, efficiency, and best practices. Learn how to optimize your code, adhere to the Python style guide, and navigate the nuances of collaborative development with ease.By the end of this comprehensive guide, you will not only have a deep understanding of Python's core concepts but also have the skills to apply them in real-world scenarios - from web development and data analysis to networking, security, and even creative coding. Whether you're a complete beginner or looking to expand your knowledge, Python in Depth: A Multipurpose Coder and Programmer's Guide is the key to unlocking your full potential in today's tech-driven world.Embark on this transformative journey through Python and ready yourself for a future where the possibilities are limitless. It's time to code, create, and innovate. Let's get started.
Text Mining
Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neural networks and most recently, deep learning, with distance and similarity estimation persisting as central challenges.This Special Issue comprises two survey papers and sixteen research articles, all addressing practical aspects of text mining. The surveys review methods for financial market prediction through social media analysis and sentiment detection, and provide a synthesis of techniques, evaluation strategies, and applications of recommender systems across domains including e-commerce, social media, and online learning.The research articles extend to text classification, sentiment analysis, summarization, and natural language understanding, as well as corpus construction and e-governance applications. Contributions include a large-scale Chinese toponym corpus, CHTopo, deep learning models for tourist behaviour prediction, semantic optimization of artifact presentation, BERT-based knowledge extraction for agricultural ontology construction, and transformer-based approaches for detecting moral features in television narratives.
SwiftUI for Masterminds
SwiftUI for Masterminds is a comprehensive course designed to take you from the fundamentals of SwiftUI to the development of professional applications for Apple platforms.Whether you are a complete beginner starting your journey in app development or an experienced Android developer looking to expand into the Apple ecosystem, this book provides a structured, practical path to mastering SwiftUI.You will not just learn syntax or isolated examples. You will build real applications while understanding the architecture, data flow, state management, navigation, persistence, networking, multimedia integration, system services, and advanced interface design that modern apps require.Every chapter is carefully organized to guide you step by step, with clear explanations, hands-on projects, and progressively more advanced concepts. By the end of the book, you will be able to design, build, and deploy fully functional apps for iPhones, iPads, and Macs.Inside the book, you will learn: - How SwiftUI works under the hood - How to design adaptive interfaces for multiple Apple devices - How to manage data using modern tools like SwiftData - How to share data between devices - How to integrate with new and old system frameworks - How to publish your applications to the App StoreIf you are serious about building powerful apps and entering the Apple development market with confidence, SwiftUI for Masterminds will give you the knowledge and practical experience you need.Xcode 26, iOS 26, macOS 26, Swift 6.2
Prince of Programming
Master the basics of programming with C#Learn to Code the Fun Way, No Experience RequiredTired of programming books that drown you in jargon and boring examples? The Prince of Programming teaches real C# fundamentals through engaging, game-themed examples inspired by classic 1980s adventure platformers.What Makes This Book Different?Zero assumptions. We start at the actual beginning.No information overload. You learn what matters, when it matters.Game-themed examples that don't bore you.Examples include comments and expected output, no computer required.Progressive learning. Each chapter builds on the last.Practical exercises with sample solutions included.What You'll LearnGetting started with Visual Studio and running your first programCode structure, naming conventions, and writing clean codeVariables, data types, and information storageLogic and decision-makingLoops and repetitionMethods and functionsCollections for managing dataObject-oriented programming with classes and inheritanceEvents and delegatesException handling and data storageCore programming principles (DRY, KISS, YAGNI)You'll learn to think like a programmer, breaking down problems, debugging systematically, and building solutions that work.Who This Book Is ForComplete beginners who've never written codeSelf-taught programmers wanting to fill foundation gapsAnyone tired of tutorials that skip stepsLearners wanting clear explanations without complexityYou don't need math skills or an expensive computer. Just curiosity and determination.Learn the Right Way from the StartThis book uses console-based examples to focus on pure programming logic. Once you master these fundamentals, you can apply them to anything: games, web apps, mobile apps, tools, whatever you want to build.Bonus chapters: Graphics programming, asynchronous programming, and LINQ.Appendices: Debugging techniques and guidance on continuing your programming journey.Visit princeofprogramming.com for code examples and resources.
Hacked and Hunted
In the digital world, one click can change everything.Social media promises fame, friendship, and freedom-but beneath the surface lies a darker reality. Hacked and Hunted: A Smart Girl's Guide to Online Safety is a gripping cyber-thriller that exposes how quickly online success can turn into a nightmare-and why digital awareness is no longer optional.Meet Aarushi, Kaneera, and Sophia-three young women connected by friendship and unknowingly bound by danger. Aarushi is a brilliant tech mind who understands the language of machines. Kaneera is a rising social media influencer, basking in likes, followers, and viral fame. Sophia, a determined law student, believes justice can protect the vulnerable. Their lives collide when a celebration of online success spirals into a chilling game of cyber manipulation.What begins as a harmless posting and online engagement soon unravels into a terrifying chain of events-phishing attacks, spyware infections, account takeovers, cyberstalking, doxxing, and personal data being sold on the dark web. A faceless hacker watches their every move, exploiting overshared information and digital blind spots. Trust fractures. Fear escalates. And the line between predator and prey begins to blur.As the threat intensifies, Aarushi is forced to push her technical skills to the limit, venturing into the hacker's world where one mistake could cost everything. Kaneera's online fame becomes a weapon used against her, while Sophia uncovers a painful truth: the greatest danger doesn't always come from strangers-it can emerge from within the systems we trust most.This is more than a fast-paced thriller-it's a wake-up call.Seamlessly blending storytelling with real-world cybersecurity lessons, this book educates readers on: Phishing scams and how attackers manipulate trustWeak passwords, account takeovers, and recovery strategiesSpyware, malware, and device compromiseCyberstalking, doxxing, and digital harassmentDark web data trading and identity exposureEthical hacking, digital footprints, and online traceabilityLong-term practices for protecting privacy and digital identityEach chapter reveals not only what happens to the characters-but how it happens, empowering readers to recognize threats before they become victims themselves.Written by Anand Shinde, an internationally recognized cybersecurity expert and mentor, and Vandana Keswani, a senior enterprise cybersecurity leader and passionate advocate for empowering girls online, this book draws directly from decades of real-world cyber defense experience. Their combined expertise transforms complex threats into relatable, actionable insights-without losing the intensity of a page-turning thriller.Hacked and Hunted is especially powerful for: Teen girls and young women navigating social mediaParents seeking awareness-driven stories for their childrenEducators and mentors promoting digital safetyAnyone who believes "it won't happen to me"This story will make you rethink every password, every post, and every moment you share online.Because in today's digital world, privacy is fragile, trust is exploitable, and awareness is survival.Once you step into this story, there's no turning back.
Smart Parent's Guide to Cybersecurity
Parenting doesn't come with a manual-especially in the digital age.Today's children grow up surrounded by screens, social media, online games, and limitless information. While the internet opens doors to learning, creativity, and connection, it also exposes young minds to risks many parents feel unprepared to handle: cyberbullying, online predators, privacy breaches, scams, screen addiction, and harmful content.Smart Parent's Guide to Cybersecurity is a practical, empowering roadmap designed to help parents confidently protect, guide, and educate their children in an increasingly connected world. Rather than promoting fear or excessive restriction, this book focuses on awareness, communication, trust, and practical action-the foundations of safe and responsible digital parenting.Written by two seasoned cybersecurity professionals with decades of global experience, this guide translates complex cybersecurity concepts into clear, relatable, and actionable advice for parents of all backgrounds. Whether your child is taking their first steps online or already navigating social media and gaming platforms, this book meets you where you are.Inside, you'll learn how to: Understand how children of different age groups use the internetIdentify real-world online threats such as cyberbullying, phishing, scams, malware, and online groomingCreate age-appropriate and secure digital environments across devicesSet healthy boundaries around screen time without damaging trustImplement and manage parental controls effectivelyTeach children digital etiquette, privacy awareness, and online responsibilityRecognize warning signs of online trouble and take the right steps earlySupport your child emotionally when online issues ariseBecome an active, positive presence in your child's digital lifeWhat sets this book apart is its balanced approach. Cybersecurity is not just about tools, filters, or monitoring-it's about equipping children with the judgment and confidence to make smart decisions even when parents aren't watching. Through real-life scenarios, expert insights, and practical strategies, parents learn how to move from control to collaboration, and from fear to preparedness.The book is structured to be easy to follow, with clearly defined chapters covering everything from devices and apps to social media, gaming, and connected technologies. It also includes curated resources, tools, and support networks parents can rely on beyond the book.Together, Anand and Jessen wrote this book with one clear mission: to help parents feel confident, capable, and supported in protecting their children online.If you're a parent who wants to raise a digitally aware, resilient, and responsible child-without panic, guilt, or confusion-Smart Parent's Guide to Cybersecurity is your trusted companion.Because protecting children online starts with informed parents-and meaningful conversations at home.
Unified Compliance
Unified Compliance was written to bridge the gap between technical implementation and regulatoryunderstanding in a the rapidly expanding digital landscape. This comprehensive guide decodes theworld's most important compliance frameworks, including HIPAA, GDPR, ISO 27001, NIST, HITRUST, HITECH, PIPL, DPDP and emerging AI regulations, through clear analysis and structured comparison.Designed for IT departments, legal teams, engineers, compliance departments, the book offerspractical strategies to meet compliance requirements without sacrificing system integrity. With indepthcoverage of risk management, data protection, and cross-jurisdictional standards, this workempowers professionals to align operations with modern expectations for privacy, accountability, and security resilience. Unified Compliance is both a reference and a strategic companion for thosenavigating regulatory complexity in global, hybrid, or sector-specific environments.
Generation AI and the Transformation of Human Being
Many are discussing what AI and other advanced technologies may become; few have thought through what we will become.Generation AI-those born after 2022-will be the first humans to grow up in a world of immersive AI, intelligent robots, and ambiguous boundaries between the born and the made. They will differ fundamentally from us, yet their future is our future too.How do we prepare our children-and ourselves-for careers that don't yet exist?What parts of human connection and purpose can we protect as AI becomes more capable?How will the next generation form their identity when AI can do most of what we consider uniquely human?Drawing on evolutionary biology, social science, and breakthroughs in advanced technologies, renowned scientist-philosopher Gregory Stock offers the most comprehensive analysis yet of how AI will reshape not just our world, but our very nature.From parenting and relationships to the future of education, work, and humanity itself, Generation AI maps the transformation already underway-and how to navigate it with intention rather than fear.
MCP Integrations for Microsoft 365
This book practically brings you the easy-to-follow solutions wherein you can connect AI-driven automation to everyday business tools using Model Context Protocol (MCP), with Microsoft Excel and Word as the primary execution and delivery surfaces. This book focuses on practical integration patterns that developers and technical teams can apply directly in real business environments. You won't find any discussions of model internals or theoretical AI concepts here.The book presents a structured approach to building governed, auditable workflows. It shows how Excel rows act as requests, YAML playbooks define execution logic, and tools such as Jira, databases, document repositories, and reporting systems are integrated through well-defined contracts. We use Microsoft Word as a controlled output surface for reports and deliverables. There are audit logs and approval mechanisms in place to ensure transparency and traceability throughout the workflow lifecycle. I will guide you through designing MCP tool contracts, mapping Excel columns to tool arguments, normalizing results for analytics, and shaping outputs for Excel and Power BI. In this book, you will learn to implement safety patterns such as idempotency, retries, policy allowlists, tenant isolation, and least-privilege access. It includes practical chapters on connector development, authentication and secrets handling, governance controls, diagnostics, testing strategies, and deployment patterns for both scheduled and on-demand execution.I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.Key LearningsTurn Excel and Word into powerful AI-driven control and delivery hubs for business automation.Automate business workflows with AI Agents without exposing users, model internals and LLMs.Build predictable, auditable, and reusable automation using tool contracts and playbooks.Trigger real business actions across Jira, databases, and documents using Excel and Word.Make use of YAML playbooks to transform multi-step business processes into workflows.Make use of audit logs, approvals, and correlation IDs to execute transparent and compliant AI actions.Prevent duplicate actions using idempotency and request tracking.Practice versioning, policies, and strict access controls for scaling MCP connectors.Table of ContentMCP and Agent PrimerMicrosoft 365 Project BlueprintTool Contracts for Excel and Word AutomationBuilding MCP Connectors as Business ActionsAuthentication and Secrets for Microsoft 365 and SaaSGovernance, Approvals, and Audit TrailsWorkflow Runner with YAML PlaybooksJira Connector with Excel RequestsData and Knowledge ConnectorsShipping MCP Integrations across Microsoft 365 Teams
Private AI with Spark
For those who want to build controlled, reproducible AI systems entirely within your own infrastructure, this book is the most practical and implementation-focused trainer. Instead of relying on external APIs or cloud-hosted intelligence services, this book clearly demonstrates how Apache Spark can orchestrate data preparation, model training, batch inference, reporting, and LLM acceleration in a disciplined and transparent way.As the book opens, it swiftly defines private AI, making it clear that external AI calls are not allowed, full ownership of datasets and model assets is imperative, and repeatable runs with traceable outputs are essential. I will use a realistic sample to show you how to build an end-to-end workflow that ingests raw data, normalizes it into a stable schema, trains a baseline classifier, extracts keywords, generates summaries, and produces structured reports. There's no doubt that each step is implemented with clarity and attention to maintainability. You can be sure that logging, manifests, and monitoring are embedded from the start. We implement classic machine learning techniques, vLLM, performance measurement, batch processing patterns, quarantine handling, and structured metrics to make private AI more usable and compete with cloud-based AI.Beyond experimentation, the book transitions seamlessly into packaging and routine execution. It will teach you to bundle multiple stages into a single command workflow, schedule daily or weekly runs, generate compact run reports, and adapt the architecture to new datasets without redesigning the system. It does not promise instant transformation or one-click AI solutions. Instead, it provides a structured path to building a sustainable private AI backbone using Spark as the orchestration layer.Key LearningsNo external AI calls and full control over data, models, and repeatable runs.Stable canonical schema with downstream ML and reusable reporting.Infuse Classic ML with Spark without introducing LLM complexity.Carry out extractive summaries without hallucination risk.Complete traceability through manifests, prompt versions, and run logs.Implement data and batch flow, along with fast inference using vLLM.Extract inspectable data and surface out the hidden errors using quarantine tables.Measure and store performance for every run with stakeholder reporting.Design single-command pipeline with clear configs to build repeatable AI.Table of ContentUp and Running with Private AIData Workflows using Spark DataFramesPowerful NLP without LLMBatch Inference and Practical OutputsSmart SummariesBoosting with vLLM IntegrationPackaging Private AI
The Little Book Of A.I. Prompts - The Prompt Engineer
THE PROMPT ENGINEER Volume I of The Little Book of A.I. PromptsLanguage is becoming a form of engineering.As artificial intelligence moves beyond code and into conversation, a new professional discipline is emerging one built not from algorithms, but from words. The Prompt Engineer is a thoughtful, rigorous exploration of that discipline.This book treats prompting as more than a technique. It presents it as a craft, a system of reasoning, and a new kind of literacy. Through long-form reflection and careful analysis, it examines how structure, clarity, and intent shape the behaviour of large language models, and why ambiguity, while human, must be handled with precision when language becomes executable.Written as a continuous monologue, The Prompt Engineer blends philosophy, linguistics, and systems thinking to trace the evolution of human-machine dialogue from instruction to collaboration, from syntax to meaning. Minimalist diagrams and red-letter definitions punctuate the text, reinforcing key ideas without interrupting its flow.This is not a quick guide or a collection of tricks. It is a foundational text for those who want to understand what it truly means to write for thinking systems.For readers who see language as architecture, reasoning as design, and clarity as a professional skill, The Prompt Engineer offers a calm, serious entry point into the emerging world of artificial intelligence communication.
Level 7 Leadership
The pace of change has outgrown the old playbook.AI now rewires industries in months, not years. Teams struggle under pressure. Leaders everywhere feel the strain: less certainty, more complexity, and an operating environment that punishes slow thinking and rigid systems.Level 7 Leadership offers a clear path forward.This book gives entrepreneurs and executives a new operating system for the Human+Machine Era-one where humans and machines work as an integrated team. You will learn to lead with greater clarity, speed, and strategic awareness by upgrading the one system that determines everything else: your state.You will see why traditional leadership models fail under exponential change-and how to replace them with practices that stabilize your physiology, sharpen your perception, and unlock higher levels of decision intelligence. You will learn how to build coherent teams that adapt quickly, sense emerging patterns earlier, and execute with precision.Level 7 Leadership is a blueprint for becoming the kind of leader the future demands-one who can navigate uncertainty, unlock collective intelligence, and create at the speed of change.If you want to lead with clarity, resilience, and impact in the age of AI, this book is your competitive advantage.
Side Effects of Artificial Intelligence
Artificial Intelligence is no longer just a tool-it is becoming an environment. From the moment we wake up and check our phones to the decisions we make about what to read, buy, believe, and remember, AI is quietly shaping the way we think. But what happens when convenience begins to replace cognition? When recommendations replace reasoning? When memory, creativity, and judgment are outsourced to machines?Side Effects of Artificial Intelligence is a powerful and unsettling exploration of how AI is transforming the human mind. Rather than focusing on jobs, robots, or future speculation, this book examines the hidden cognitive consequences already unfolding: shortened attention spans, algorithmically shaped beliefs, the decline of independent reasoning, and the growing dependence on digital systems for memory, decision-making, and identity. It reveals how AI does not simply assist human thinking-it subtly rewires it.Drawing on psychology, neuroscience, behavioral patterns, and real-world technological integration, this book exposes how algorithms control attention, how endless feeds reshape dopamine and focus, how external "digital brains" weaken internal knowledge, and how creativity risks becoming standardized through pattern replication. It confronts the illusion of neutral intelligence and reveals the invisible influence behind recommendations, rankings, and automated judgments.This is not an anti-technology manifesto. It is a call for awareness. AI has the potential to enhance human intelligence-but only if humans remain active thinkers rather than passive users. The greatest risk is not that machines become intelligent, but that humans stop exercising their own intelligence.For readers interested in Artificial Intelligence, psychology, digital culture, cognitive science, and the future of human autonomy, this book offers a deep, thought-provoking analysis of one of the most urgent intellectual questions of our time: If machines begin to think for us, what will remain uniquely human?
Symmetry/Asymmetry of Differential Equations in Biomathematics
Symmetry principles play a fundamental role in understanding the complex dynamics of ecological and biological systems. This Special Issue brings together cutting-edge research that applies mathematical modeling, stability analysis, and bifurcation theory to explore symmetry-related phenomena across diverse biological contexts. The collected works demonstrate how symmetry concepts can reveal universal patterns in population dynamics, disease transmission, and resource management.
Applied Mathematics to Mechanisms and Machines II
This reprint compiles the nine articles from the Special Issue "Applied Mathematics to Mechanisms and Machines II" of the MDPI Mathematics journal, specifically from its "Engineering Mathematics" section. The articles, while diverse in their specific topics, uniformly focus on mechanisms as their object of study and employ mathematics as their foundational methodology. Key areas explored within the reprint include the following: Synthesis, design, and optimization of mechanisms; Robotics; Automotive applications; Maintenance 4.0; Machine vibrations; Control systems; Biomechanics; Medical devices.This reprint is intended for professionals and researchers in the field of Mechanism and Machine Science, with the aim of contributing to advancements in both mechanical engineering and applied mathematics.
Innovative Technologies and Services for Unmanned Aerial Vehicles
This Special Issue Reprint compiles cutting-edge research on Unmanned Aerial Vehicles (UAVs), highlighting transformative advancements that broaden their capabilities across diverse sectors. Bringing together contributions from researchers, practitioners, and industry experts, this collection fosters interdisciplinary dialogue while delivering rigorous peer-reviewed insights into UAV technology and services. It covers a comprehensive range of critical topics, such as the following: autonomous navigation and control systems (including advanced algorithms for obstacle detection, path planning, and formation flying); innovative sensing/imaging technologies (hyperspectral imaging, LiDAR, thermal imaging for data acquisition); efficient communication/networking solutions (reliable, secure connectivity, network coordination, swarm intelligence for networked UAVs); payload design and service delivery (medical supply transport, infrastructure inspections); energy efficiency research (energy harvesting, optimization algorithms, sustainable power sources); and regulatory/ethical considerations for safe, responsible UAV deployment. Featuring original research articles, reviews, and case studies, this Reprint captures the latest breakthroughs pushing UAV application boundaries. It serves as an invaluable resource for professionals and researchers seeking to keep up to date with industry progress, inspiring further innovation and collaboration to advance UAV technology's real-world impact.
Machine Learning for Pattern Recognition (2nd Edition)
In the recent digital age, machine learning technology has made significant progress, revolutionizing applications in fields such as image recognition, speech processing, and natural language processing. These technologies have not only changed our daily lives but have also had a profound impact on medicine, finance, transportation, and other fields. However, pattern recognition, as an important branch of machine learning, still has many challenges and problems. This 2nd edition Reprint brings together contributions from leading experts in their fields. Each paper provides valuable insights into the latest trends, methods, and challenges in state-of-the-art applications of machine learning for pattern recognition. In addition, the studies in each paper not only showcase the latest advancements in machine learning algorithms but also discuss their successful applications and the challenges encountered in real-world scenarios.As Guest Editors, we are honored to present this 2nd edition Reprint, and we hope that readers, whether researchers, engineers, or students, will find inspiration and guidance in these papers as they explore the growing field of machine learning for pattern recognition. We express our gratitude to the authors for their outstanding contributions, to the reviewers for their critical evaluation, and to the Assistant Editor, Mr. Musea Wu, for his enthusiastic help. We are also sincerely grateful to our readers, whose curiosity and enthusiasm continue to drive innovation in this exciting field.
The Decentralized Web
We were promised freedom online, yet most of us rent our identities and communities from walled gardens. This book shows a different path: protocols over platforms, where decentralised web principles let people carry their data, reputation, and value wherever they go. Inside, you will learn the building blocks behind web3 basics without hype, from peer to peer coordination to decentralised storage and privacy protocols that protect ordinary users. It explains how dao governance and tokenised communities can fund public goods and reduce lock-in, and why open source development is the backbone of resilience. You will also see how internet ownership and digital identity change product design, customer relationships, and the everyday flows of work. Written for designers, founders, policy thinkers, and curious practitioners, it provides checklists, patterns, and plain-language models you can apply immediately. If you want to evaluate trade-offs, avoid centralising by accident, and build systems that respect human dignity, this guide gives you first principles and practical steps to begin.
ChatGPT and Beyond
We are entering a world where conversation is the new interface. The systems sound confident, helpful, and fast - yet fluency is not the same as understanding. This book offers a clear way to work with them without losing your judgement. It explains how large language models actually operate, when to lean on them, and when to switch to sources. You will learn prompt engineering as a design craft, build reliable dialogue systems for everyday tasks, and develop habits for critical thinking with ai. Along the way you will see how human ai communication changes attention, bias, and decision-making; what the real arc of nlp evolution looks like; and practical steps for workplace automation that protect human agency. It also sets out simple, durable practices for ai ethics, cognitive modelling, and choosing generative ai tools that fit your context. For product builders, managers, researchers, educators, and curious professionals, this is a plain-language guide to turning fluent outputs into meaningful outcomes - with humans firmly in charge of purpose and responsibility.
Post-Human Ethics
A machine can be procedurally correct and still feel wrong. When decisions are shared with software, responsibility blurs, trade-offs hide in proxies, and the harms arrive quietly. This book offers a clear framework for understanding ethical ai, diagnosing machine bias, and designing moral algorithms that respect human dignity. You will learn how to specify values without myth, set thresholds for autonomous decisions, and build ai accountability into roles, logs, and reviews. Across justice, healthcare, work, and safety-critical contexts, it shows how algorithmic justice differs from legal compliance, and how to create guardrails before crises choose for you. It treats design decisions as moral decisions and gives you practical tools for stress-testing objectives, communicating uncertainty, and planning redress. Written for leaders, designers, policy teams, and curious citizens, it equips you to navigate ai governance frameworks with confidence, debate ai warfare ethics with clarity, and apply responsible ai design in daily practice. If you want technology that serves society rather than the reverse, this is your blueprint for accountable, human-centred autonomy and credible oversight.
Coding Consciousness
Machines now talk, plan, and surprise us. But do they feel anything at all? This book is a clear guide through the fog, giving you the tools to tell the difference between clever imitation and genuine understanding. You will learn how brains integrate signals, how models represent the world, and why definitions of consciousness change what we think we have built. It explains classic and modern tests, from the turing test to interpretability probes and consciousness tests, and shows where claims can go wrong. For engineers, researchers, policy makers, and curious readers, it offers a practical way to evaluate announcements without falling for hype. Along the way, it grounds abstract ideas in concrete examples from neural networks, embodied agents, and clinical scales in cognitive science and cognitive modeling. If you care about ai ethics, rights, and responsible design, this is your map. You will finish with a disciplined checklist for judging machine consciousness, a sharper grasp of the computational mind, and a language to discuss artificial empathy without confusion. Clear, balanced, and humane, it equips you to think well about thinking machines.
The Metaverse Economy
Step inside the next layer of the internet where work, learning, and community unfold in shared 3D spaces. This guide shows how value is created when presence, identity, and design intersect - and how to participate without getting lost in spectacle. You will learn how metaverse economy dynamics turn attention into opportunity, why virtual real estate matters only when it serves real tasks, and what durable in-game economies look like. It maps the building blocks of digital identity, explores nfts and identity beyond hype, and outlines practical pathways into virtual jobs and the creator economy. Educators will find clear patterns for web3 education that improve focus and retention, while teams and organisations can design brand presence metaverse spaces that earn trust through service. Written for builders, teachers, freelancers, and curious leaders, this book offers plain tests, checklists, and examples to make good choices fast. It avoids promises and shortcuts, favouring small bets, ethical norms, and accessible design. If you want to use spatial computing to augment life - not replace it - you will leave with a simple mental model for earning, learning, and belonging in worlds that persist after you log off.
Privacy Coins and the War on Financial Freedom
A world that once paid in forgettable cash now records every coffee, donation, and favour. If secrecy used to be ordinary, why is it treated as guilt online? This book explains the tools, principles, and trade-offs that sit behind financial privacy, making sense of privacy coins without hype or panic. You will learn how monero explained and zcash basics translate into everyday choices, why encryption ethics matters, and where selective disclosure can reconcile private life with public accountability. Along the way we map the rise of financial surveillance, show how data minimisation curbs collateral harm, and offer proportional regulation heuristics that target behaviour rather than mathematics. Clear threat models, humane design patterns, and stories from real users demonstrate that anonymity can be a social good when anchored to responsibility. For citizens, journalists, small organisations, and policymakers, this is a practical lens on the right to anonymity: what to defend, what to demand from institutions, and how to discuss it without slogans. The result is a durable mental model for navigating payments with dignity.
AI for Humanity
When a system is accurate on paper but quietly unfair in practice, trust evaporates. This book offers a grounded path to design ethical ai that protects dignity while delivering real utility. You will learn how to turn values into requirements, choose fit-for-purpose metrics, and build interfaces that people can contest and understand. Drawing on lived cases in health, hiring, and public services, it shows how human-centric ai aligns with ai policy and everyday operations. Expect practical tools for algorithmic accountability, data provenance, and documentation that actually guides decisions. The result is responsible machine learning that prefers small, careful releases over grand promises, with legible safeguards and explainable ai that changes decisions rather than decorating dashboards. For product leaders, designers, engineers, and policymakers who want ai transparency without paralysis, this is a humane, pragmatic toolkit. It champions inclusive design and human rights tech so your teams can ship useful systems that serve people first.
The Age of Hybrid Intelligence
We are entering a world where assistance thinks with us, not just for us. That promise is thrilling and risky. This book shows how to build hybrid intelligence with clear decision frameworks, practical habits, and humane guardrails so you gain speed without losing judgement. Across work and life it explains where human in the loop matters, how a brain computer interface or a simple prompt can reshape attention, and why ai ethics must be built into everyday workflows. You will learn the craft of augmented intelligence: setting roles, measuring outcomes, and writing small operating agreements you can trust. Real examples show teams applying co-intelligence design to research, service, and care, while resisting unthinking workplace automation. Whether you are a leader, maker, or learner, you will leave with a field-tested way to choose when to automate, when to collaborate, and when to refuse. It is a guide to using responsible ai as a force-multiplier for clarity, dignity, and meaningful results.
Blockchain for Humanity
A village can lose faith faster than it loses funds. When records are foggy and rules are flexible, trust collapses and the most vulnerable pay the price. This book shows how to rebuild confidence with clear, shared ledgers and careful design so that help arrives as intended. You will learn how blockchain for good projects actually work, why some fail, and how to assess whether a database or a ledger fits the job. For practitioners, it offers patterns for charity transparency, aid accountability, and corruption transparency without exposing personal data. For communities, it explains portable credentials for digital identity refugees and honest sourcing through fair trade provenance. For policymakers and funders, it maps options for decentralised governance and evidence-led pilots in sustainable development tech. Written in plain English, it avoids hype and focuses on decisions you can defend: what to record, who can see it, and how to exit if things change. If you care about results over rhetoric, this is a humane field guide to building systems that people can trust.
Mystics of the Machine
What if code could become a mirror for wonder without pretending to be the source of it? This book meets readers where curiosity collides with caution, asking how far machines can reflect creativity, attention, and meaning before we mistake reflection for light. You will learn a way of thinking that pairs clear tests with generous doubt. Through stories, design principles, and practical habits, it shows how ai and religion can meet without confusion, how to weigh claims of machine consciousness, and how algorithmic ethics should start with the neighbour, not the novelty. It treats prompts as rituals, explores spiritual symbolism in interfaces, and asks what metaphysics of mind contributes when outputs feel inspired. Along the way, you will try small practices that recover agency, turning spectacle into skill. This is for seekers, builders, and leaders who care about theology of technology and the craft of meaning. If you want language to frame divine creativity without hype, if you want a humane philosophy of ai, and if you need tools for sacred algorithms that serve human machine meaning, this guide offers a calm, rigorous path through the noise.
The Great Automation
If machines can draft, analyse, and decide, what remains distinctly ours? This book shows how to keep your edge when the ground under work is shifting. It offers calm, credible guidance for anyone who wants to turn automation into leverage rather than threat, from freelancers and managers to educators and community leaders. Across clear frameworks and concrete cases, you will learn which human skills compound, how to navigate an ai-driven economy, and where ethical ai should set boundaries. You will map tasks, build a lean personal stack, and design workflows where automation survival becomes a daily practice. Expect practical scripts for negotiation, habits for reskill and upskill, and ways to convert tools into creative advantage without losing trust. Along the way, we address algorithmic bias, privacy by design, and fair reward for augmented work. If you care about dignity at work, stronger teams, and resilient careers, this is your field guide to adapt to change in the future of work. It will not promise certainty, but it will give you language, methods, and momentum to act with confidence.
Application of Vision Technology and Artificial Intelligence in Smart Farming
Artificial intelligence (AI) and computer vision (CV) are increasingly applied in smart agriculture, offering significant potential to enhance farming efficiency, reduce manual labor, and lower production costs. In livestock farming, CV and AI enable behavior monitoring to improve animal health and welfare. In crop production, they support phenotype extraction, plant organ detection, and pest management. This Special Issue (Volume 2) presents original research and reviews on topics such as agricultural sensor optimization, livestock behavior recognition, AI-based automation, agricultural robotics, and big data analytics in farming.
Big Data Mining and Analytics with Applications
This Reprint contains all of the articles accepted and published in the Special Issue titled "Big Data Mining and Analytics with Applications" in the journal Mathematics. It compiles 10 papers related to span predictive modeling for spatiotemporal data (e.g., traffic, air quality, crowd flow), data quality and repair, automated data understanding (e.g., table type prediction), advanced clustering and user segmentation, scalable statistical learning (e.g., Bayesian variable selection), and text mining applications (e.g., document classification, fake review detection). Together, they highlight a strong focus on efficient, robust, and interpretable methods for big data mining and analysis across domains. It is our hope that these contributions will serve as an inspiring source for researchers in the domains of big data analytics and machine learning.
Building voice AI agents your customers won't hate.
We live in a world where AI agents are rapdily becoming mainstream - particularly in call centers.. However many customers hate them and there are many many pitfalls between creating a proof of concept and actually delivering an amazing experience that your customers will love. This book will simplify the many complexities and more importantly guide you away from the many common mistakes companies make when trying to design Voice AI agents that service your customers.This isn't a technical book designed for computer programmers, this is a business book, focusing on the best practice uses of Voice AI that will improve customer experience, not damage it.A 2025 MIT Survey found the 94% of AI initiatives at Forbes 100 companies don't deliver a return in 6 months, this book will help steer you towards the 6% that do.
Level 7 Leadership
The pace of change has outgrown the old playbook. AI now rewires industries in months, not years. Teams struggle under pressure. Leaders everywhere feel the strain: less certainty, more complexity, and an operating environment that punishes slow thinking and rigid systems.Level 7 Leadership offers a clear path forward.This book gives entrepreneurs and executives a new operating system for the Human+Machine Era-one where humans and machines work as an integrated team. You will learn to lead with greater clarity, speed, and strategic awareness by upgrading the one system that determines everything else: your state.You will see why traditional leadership models fail under exponential change-and how to replace them with practices that stabilize your physiology, sharpen your perception, and unlock higher levels of decision intelligence. You will learn how to build coherent teams that adapt quickly, sense emerging patterns earlier, and execute with precision.If you want to lead with clarity, resilience, and impact in the age of AI, this book is your competitive advantage.
The Dynamic Equity Framework Theory
DEFT turns our ideas of fairness and sharing in a tech-controlled society upside down. This book lays out a complete plan bringing together AI ethics, public policy, and fair algorithms. It refines how to create systemic equity across digital board, economic, and institutional systems using practical tools and global strategies. This book lays the groundwork for the future of AI justice, ethics, and policy realignment. Under the DEFT framework equity needs to remain actively engaged with the circumstances and operate across various levels of the system. The system continually develops alongside transformations in social structures while technological developments and environmental fluctuations and economic movements, this process enables it to deliver strategic approaches and laws combined with visual organizational schemes which drive effective practical implementation. The book presented a framework replacement is needed which represents contemporary complexity through its responsive and active mechanisms. The book integrates DEFT alongside its supporting actionable sub-theories and tools (EFLT, TEST, AGET, HVET, etc.). It Influence equity-centered design and governance in sectors like education, technology, healthcare, environmental planning, and AI ethics. The book suggests two institutional mechanisms consisting of the Dynamic Responsibility Act (DRA) and Equity Dashboards for equity management.
The AI Agency
Leverage AI-work into operational impact in 30 days!Imagine leading an organization where intelligent systems act as reflexive partners, anticipating business needs before they surface. What if a company could move past "pilot fatigue" to achieve measurable results (12% reduction in waste or a 30% boost in productivity)?Step into clarity to navigate AI technology without needing a background in data science, and scale responsibly without chaos, confusion, or culture damage.Divya Parekh, a Thinkers50-recognized leadership coach and AI adoption advisor with over 20 years of experience, has meticulously crafted this essential guide to cut through the noise of AI hype. Known for coaching senior decision-makers through the volume of change, Parekh uses tested frameworks and extensive research to deliver a blueprint that is both modern and familiar.No theory for theory's sake. These frameworks get you out of pilot mode and into results.In this book, you will learn: Why 74 percent of companies get trapped in "pilot purgatory" and the specific blueprint required to escape it.The "Impact-Feasibility Grid" secret to separating high-value business signals from empty vendor hype.How a simple two-week triage model allowed a regional healthcare provider to slash wait times by 22 percent.The three-part "BTE Framework" and why a leadership team is likely flying blind without mastering the ethical pillar.Why an organization must "think in loops, not lines" to build an intelligent ecosystem that continuously learns and self-optimizes.The "One-Metric Challenge" forces stakeholders to align on ROI before they spend the first dollar on a pilot.How to identify the subtle "Innovation Theater" signs that show a company is burning resources without building real momentum.The "AI Labs" method for converting deep employee anxiety into active creative advocacy.Why "shadow AI" is the greatest hidden risk in a department and how to bring it into the light safely.The "Napkin Model" for pitching a pilot to a CFO using only two columns and honest ballpark assumptions.Master the art of integrating generative AI to move your organization beyond the pilot phase and into a future of sustained enterprise impact.Pick up a copy of The AI Agency today to enhance your leadership capacity!
The Girlfriend
The all NEW heart-stopping, nail-biting thriller which will keep you guessing from Gemma Rogers
Beyond Hallucinations
Beyond Hallucinations is not a technical manual, a futurist manifesto, or a collection of breathless predictions. It is a clear, grounded exploration of what artificial intelligence really is, what it is not, and why that distinction matters more than ever.In a world filled with bold claims, confusing jargon, and relentless hype, this book cuts through the noise. It explains how modern AI systems actually work, why they can sound intelligent while being confidently wrong, and how so-called "hallucinations" are not flaws to be ignored but signals worth understanding.Written for curious readers rather than engineers, Beyond Hallucinations focuses on practical understanding. You will learn how AI generates answers, where its real limits lie, and how to use it thoughtfully without being misled by fluency, authority, or false certainty. Along the way, the book challenges common myths, exposes uncomfortable truths about automation and trust, and asks deeper questions about judgment, responsibility, and human agency in an AI-saturated world.This is a book for people who use AI, hear about it constantly, or feel quietly uneasy about how quickly it is being adopted-and want clarity without fear, hype, or blind optimism.If you have ever wondered whether AI is thinking, guessing, or simply reflecting us back to ourselves, Beyond Hallucinations is where that understanding begins.
SOLIDWORKS 2026 For Beginners (COLORED)
This SOLIDWORKS tutorial book teaches you 3D modeling and CAD design for mechanical engineering. You get step-by-step instructions for part modeling, assembly design, and technical drawings.Learn: Sketching basics: lines, arcs, slots, splines, with geometric relationsParametric modeling: extrudes, revolves, lofts, sweeps, holes, fillets, patternsAssembly techniques: mates (coincident, concentric, path), interference checksEngineering drawings: sections, BOMs, hole tables, dimension retrievalCertification prep: CSWP sample questions and practice exercisesmm/inch examples for mechanical design standardsYou begin with the user interface and setup. Then you learn sketches for solid parts. Next, you work through features from extrudes to flex commands. After that, you build assemblies including top-down methods. Finally, you create production drawings. Every chapter includes tutorials and exercises using real projects.Order now to build CAD skills and prepare for certification.
Recent Advances in Finite Element Methods with Applications
This Reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Recent Advances in Finite Element Methods with Applications". This Special Issue aimed to collect recent advances in the construction, theoretical analysis, implementation, and application of finite element methods. The finite element method is an important tool used in applied sciences. In close association with computational mechanics, it has been increasingly applied across various fields, such as engineering, material sciences, environmental sciences, medicine, biology, as well as physics and chemistry, and so forth. It is hoped that this Reprint will inspire research in the theoretical study and application areas of finite element methods.
Numerical Simulation and Methods in Computational Fluid Dynamics
The present Reprint contains 8 articles accepted and published in the Special Issue "Numerical Simulation and Methods in Computational Fluid Dynamics" in the MDPI journal Mathematics, which cover a wide range of topics connected to the theory, numerical methods, and simulation techniques of complex fluid dynamic systems. These topics include, among others, magnetic field-induced Joule-heating thermal convection, a Tiwari and Das approach to buoyant convective thermal transport, as well as a computational and machine learning-based approach, and the use of an influence matrix method for accurate implementation of rotating magneto-hydrodynamics. Moreover, Newton's method using implicit Coriolis integration, transition modelling from shear-driven turbulence to convective turbulence, and convective heat transfer via uniformly accelerated and decelerated turbulent pipe flows are also explored.It is hoped that the Reprint will be interesting and useful for those working in the area of computational fluid dynamics (CFD), complex systems, and numerics, as well as for those with a mathematical background who wish to become familiar with recent advances in CFD, which now plays a crucial role in almost all sectors of human life and activity.
Mathematical Models and Simulations, 2nd Edition
This Reprint continues the work initiated in our previous edition, Mathematical Models and Simulations, emphasizing the central role of mathematical modeling in understanding complex systems across physics, biology, finance, and engineering. Mathematical models provide the structural framework through which the behavior of physical and abstract phenomena can be interpreted, predicted, and optimized. Alongside these theoretical foundations, numerical simulations serve as a crucial complement, enabling researchers to explore system dynamics, test hypotheses, and forecast quantities of interest with high fidelity.The Reprint brings together contributions spanning a broad spectrum of mathematical physics, highlighting both deterministic and stochastic modeling approaches. Deterministic models typically rely on ordinary or partial differential equations to describe well-defined system evolutions, while stochastic models account for randomness through stochastic processes or stochastic differential equations. Emphasis is placed on rigorous mathematical analyses of these models to ensure clarity, reliability, and applicability.
Modeling Aboveground Forest Biomass
Forest biomass modelling is essential for monitoring and storage. However, biomass in stands and forests varies according to the species, stand structure, and site. Biomass models can be developed using data obtained from destructive sampling, forest inventory, remote sensing, and ancillary. There is a wide range of data science methods and techniques that are currently applied in order to fit the models and evaluate their uncertainties. Biomass models are utilized in order to produce management alternatives. This reprint offers an overview of the various datasets and modelling methods employed to develop biomass functions, as well as their applicability at both the tree and area levels.The topics covered include the following: Biomass models at the tree level; Biomass models at the stand level; Datasets used in biomass modelling; Data science methods and techniques used in biomass modelling; Model performances and uncertainties; Development of management alternatives with biomass models.
Deep Learning for Perception and Recognition
The rapid advancement of deep learning technology has brought about transformative breakthroughs in perception and recognition systems across a wide range of applications. In addition to driving innovation in industrial sectors, it has opened up significant opportunities in fields such as intelligent transportation, smart cities, healthcare, and robotics.Deep learning significantly enhances the accuracy and robustness of perception and recognition systems through hierarchical feature extraction in multilayer neural networks, achieving remarkable results in areas such as soft sensing, image classification, natural language processing, and object detection. By training on large volumes of labeled data, deep learning algorithms are able to automatically learn complex feature representations and efficiently recognize objects during the perception process.As application scenarios grow more complex and data become increasingly diverse, deep learning models continue to face significant challenges in solving real-world perception and recognition problems. These challenges include ensuring model generalization when dealing with noisy, imbalanced, or limited data; enhancing performance through self-supervised, few-shot, or transfer learning in cases of insufficient labeled data; integrating information across different scales, dimensions, and modalities.
