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"Chuck" Patton's memoir of his trailblazing I.T. career takes readers on an amazing journey through technology's ever-changing landscape. From his early passion for computers to the high-stakes risks and decisions that marked his career, he offers a compelling testament to the power of perseverance. His narrative isn't merely a record of professional triumphs; it's a roadmap for others aiming to lead significant projects. Patton provides actionable insights on thriving in the tech industry - from keeping up with emerging trends and building effective teams to fostering lifelong learning. His story is a beacon for anyone dreaming of leaving their mark on the tech world or any innovative industry, a vivid illustration of how dedication and passion can reshape the world.

Theoretical neuroscience refers to a subfield of neuroscience which makes use of brain abstractions, mathematical models and theoretical analysis. It provides a quantitative foundation to explain what nervous systems do, determines how they work and discovers the underlying general principles of their operation. Computational modelling and theoretical analysis are useful tools for describing what nervous systems do, figuring out how they work and understanding why they do so in a specific manner. Neuroscience includes a wide range of methods from molecular and cellular research as well as human, psychophysics and psychology. Theoretical neuroscience promotes cross-disciplinary collaboration through creating compact representations of what has been learned, bridging the gap among different levels of description and recognizing unifying concepts and principles. The basic function of computational modeling neuroscience is to understand the principles governing the development, structure, physiology and cognitive abilities of the nervous system. The goal of models in theoretical neuroscience is to capture the key characteristics of the biological system at multiple spatial-temporal scales. This book is a valuable compilation of topics, ranging from the basic to the most complex advancements in the field of theoretical neuroscience. It aims to shed light on the computational and mathematical modeling of neural systems. The book is appropriate for those seeking detailed information in this area.

Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, and various applications of deep learning in translational bioinformatics, including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics foster future research and development.

The purpose of this book is to show how high-growth enterprises create their business models. To illustrate the background of this topic, the concepts of business models existing in the literature are presented along with their perspective on further development and external conditions that affect them.

Designed as a reference text. Presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism, and cheminformatics analysis, as well as in drug discovery and development.

This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, ML-aided models, IoT-driven applications, and cybersecurity techniques in the era of the Industrial Revolution 4.0.

Work through multiple design projects to understand how Autodesk Fusion 360 helps improve efficiency and draftingPurchase of the print or Kindle book includes a free PDF eBookKey Features:Understand the project workflow of Autodesk Fusion 360Design and redesign projects while learning to fix errorsGain a better insight into repurposing real-world items into Fusion 360 for custom designsBook Description:Autodesk Fusion 360 has become an indispensable tool for designers, tinkerers, and engineers worldwide thanks to its versatility that allows for large-scale assemblies and smaller, quick 3D prints. If you've faced challenges with learning Fusion 360, this book will help you overcome them and build the confidence to design your own projects, explaining step-by-step instructions and the purpose of each tool.In this book, you'll dive into the design workspace and learn sketching fundamentals such as setting up a component, recognizing when a sketch is fully constrained, and parametrically flexing models. Through trial and error, you'll work on multiple easy-to-build projects to create simple, useful items that can be quickly 3D printed for use around the house and then advance to much bigger projects that require joint connectivity and large assemblies.By the end of this book, you'll be able to sketch fully parametric designs, translate them into 3D models, and create your own unique designs.What You Will Learn:Gain proficiency in Fusion 360 user interface, navigation, and functionalityCreate and transform simple 2D sketches into 3D modelsManipulate and control parametric 2D sketches using dimensionsBecome familiar with drafting on paper and taking measurements with calipersCreate a bicycle assembly part with Fusion 360Use the form environment to create organic shapesRender a 3D model and understand how to apply materials and lightingGenerate 2D assembly model drawings for documentation purposesWho this book is for:Beginner or intermediate designers who prefer hands-on learning will find this book useful, especially designers, woodworkers, 3D printing enthusiasts, and hobbyists who enjoy creating things, rather than experienced machinists. The basic projects are accessible without prior CAD skills, although some fundamental CAD understanding is beneficial for those interested in going further. It is highly recommended that you use a 3-button mouse for all projects to fully utilize floating pop-up menus.

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. This lack of flexibility forces you to adjust your workflow to the tool your data is locked in, which creates data silos and data drift. This book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this lakehouse. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio guide you through the process. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Apache Iceberg tables for maximum performance How to use Apache Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Sonar How Apache Iceberg can be used in streaming and batch ingestion Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.

This book discusses computational methods related to biological models using mathematical tools and techniques. The book chapters concentrate on numerical and analytical techniques that provide a global solution for biological models while keeping long-term benefits in mind. The solutions are useful in closely understanding biological models, and the results will be very useful for mathematicians, engineers, doctors, scientists and researchers working on real-life biological models. This book provides significant and current knowledge of biological models related to real-life applications. The book covers both methods and applications.

Nanophotonics and spectroscopy has advanced rapidly in recent years. Experimental research on nanophotonics is very active. In addition to experimental research on the principles and applications of nanophotonics, computational simulation research on its various physical mechanisms and phenomena is equally important. The simulation of the optical properties of molecules or crystals, such as electronic spectra (absorption and emission spectra, etc.) and vibrational spectroscopy has extraordinary guiding significance for experiments. The current computational simulation technology can also explain and analyze the physical mechanisms behind phenomena. However, among the many computational simulation software programs available, the operation methods and application scenarios are different. The barrier for new users to conduct research with computational simulation is high. Even for researchers with some experience, it is not easy to develop a comprehensive understanding of the various software programs, keywords, programming languages and auxiliary programs. This book serves as an introductory book for beginners to get started with the technology, and a handbook for experienced readers to quickly look up for commands and script usage. It is a handy reference for graduate students and researchers engaged in the study of photonics and optics.

This book is written based on authors' research on cement hydration during the past decade. It establishes simulation model to evaluate the influence of crystal defects on the dissolution of tricalcium silicate and morphology change of particles and explores the hydration kinetics and microstructure development of tricalcium silicate under the mixed control of dissolution, diffusion, as well as boundary nucleation and growth. It also provides a theoretical basis for regulating the microstructure and performance of cement-based materials. It is designed as a reference work for professionals or practitioners and as a textbook for undergraduates or postgraduates. This book provides valuable knowledge and useful methods that can be applied in the field of cement hydration.

This proceedings of 15th CHAOS2022 International Conference highlights recent developments in nonlinear, dynamical, and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and Engineering Sciences.The principal aim of CHAOS2022 International Conference is to expand the development of the theories of the applied nonlinear field, the methods, empirical data and computer techniques as well as the best theoretical achievements of chaotic theory. CHAOS2022 Conference provides a forum for bringing together the various groups working in the area of Nonlinear and Dynamical Systems, Chaotic theory and Application to exchange views and report research findings.

This book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications.The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population.The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools.

This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, developers, students, and anyone who wishes to learn about GANs. It is assumed that the reader has a basic understanding of machine learning and neural networks. The book comes with ready-to-run scripts that readers can use for further research. Python is used as the primary programming language, so readers should be familiar with its basics.The book starts by providing an overview of GAN architecture, explaining the concept of generative models. It then introduces the most straightforward GAN architecture, which explains how GANs work and covers the concepts of generator and discriminator. The book then goes into the more advanced real-world applications of GANs, such as human face generation, deep fake, CycleGANs, and more.By the end of the book, readers will have an essential understanding of GANs and be able to write their own GAN code. They can apply this knowledge to their projects, regardless of whether they are beginners or experienced machine learning practitioners.

This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints.  Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference provides systemic 'step-by-step' coverage that begins with basic concepts from Omic to Multi Integrative Omics approaches followed by applications and emerging and future trends. All areas of Omics are covered, including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics, technology policy, and society research. This book covers recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.

The general format of this book is I'll start with each concept, explaining it in a bunch of sections and graphical examples. I will introduce you to some of the notations and fancy terminologies that data scientists like to use so you can talk the same language, but the concepts themselves are generally pretty simple. After that, I'll throw you into some actual Python code that actually works that we can run and mess around with, and that will show you how to actually apply these ideas to actual data.

Become a Unity Shaders Guru will help you understand Unity's latest shading tools and dive deep into its advanced features. You'll learn the ins-and-outs of the engine's shader tools, get familiar with the URP render pipeline, implement common game shaders both in HLSL code and with the Shader Graph, and explore how to optimize shaders.

This Faraday Discussion volume brings together internationally leading experimental and theoretical scientists from across the fields of astronomy, chemistry, and physics to explore and exchange their ideas about our chemical understanding of the universe.

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network¿s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

Gathering the proceedings of the 14th CHAOS2021 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences.The respective chapters address key methods, empirical data and computer techniques, as well as major theoretical advances in the applied nonlinear field. Beyond showcasing the state of the art, the book will help academic and industrial researchers alike apply chaotic theory in their studies.Chapter "e;On the Origin of the Universe: Chaos or Cosmos"e; is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

This isn't another book about advertising. It's an inside look at how companies count on your obsession with food, alcohol, drugs and sex to drive behavior modification-permanently. It's not enough to build a better Super Bowl commercial (sorry, but true); the new end game is about changing your entire mindset. Consultant to the brands that define our digital lifestyles, Tony Harris holds nothing back while explaining how FADS have become so relevant in a technology-enabled world. With straight-faced candor, he explains that humans are easily manipulated and marketers know it. That's why the FADS that drive us wild say we're fat, we're no fun, we need to relax, and we'll probably die alone. Anything to get you hooked on the next pea-protein, no whip, grown-in-the-lab latte.Spend 10 minutes with Tony Harris and you'll walk away knowing ten things you didn't know before you met him. By the time you finish FADS MARKETING, you'll have new insights about: Food: What marketers know about food-related trigger points; the five senses and stuffing our faces; specialty foods for special consumers.Alcohol: Why booze and the law is a match made in hell; mainstream alcohol marketing featuring weirdos; everyone's doing it (selling alcohol).Drugs: Marketers know we love a quick fix; yes, you are depressed; the Cannabis revolution.Sex: Marketers know everyone fears rejection; you're gross, no sex for you; who needs 'live nude girls' when you've got sex robots?Each chapter features expert interviews and wraps with Harris' predictions for what's coming next. Anyone who's worked with him won't be surprised to see that some of them are already happening. The only question left is, what book is coming next from Harris himself, and who's the target?

This textbook for graduate and postgraduate students provides comprehensive applications of nanoparticles in medicine, agriculture, and environmental sciences. The initial chapter covers basic topics related to types, synthesis, structure, and properties of various nanoparticles. It further discusses the wide range of applications of nanoparticles in medicine, agriculture, and the environment. The book presents nano-electronic biosensors that are used to diagnose and monitor the progression of human diseases. It summarizes the opportunities and challenges of nanotechnology in the agriculture and food sector highlighting the scientific, technical, regulatory, safety, and societal impacts.Additionally, it illustrates the applications of nanotechnology in the field of aquaculture medicine, bioinformatics and food technology. The textbook examines the development and administration of nano-medicines , their applications, advantages, and limitations for the treatmentand prophylaxis of a broad range of diseases. Lastly, the textbook explores the recent advances in the field of nanobusiness and nanotechnology issues in intellectual property management( IPR).

This book constitutes the proceedings of the 15th International Symposium on NASA Formal Methods, NFM 2023, held in Houston, Texas, USA, during May 16-18, 2023. The 26 full and 3 short papers presented in this volume were carefully reviewed and selected from 75 submissions. The papers deal with advances in formal methods, formal methods techniques, and formal methods in practice.

This book describes a unique combination of quantum chemical methods for calculating the basic physical properties of luminescent materials, or phosphors. These solid inorganic materials containing an optically active dopant are key players in several major fields of societal interest, including energy-efficient lighting, solar cells, and medical imaging. The novel ab initio methods described in this book are especially designed to target the crowded and complex electronic excited states of lanthanide activators in inorganic solids. The book is well suited to both new and experienced researchers alike and appeals to a broad range of theoretical and experimental backgrounds. The material presented enables an adept understanding of elaborate calculations, which, in tandem with experiments, give essential insight into difficult luminescence problems and quandaries, thus fully preparing the reader for an educated search for new functional luminescent materials

What does platform thinking mean? It is the ability to put platform-based mechanisms at the core of digital business transformations in business.Digital platforms like Uber, Spotify, Airbnb, Booking.com, and many others completely re-shaped the daily life of millions of users. However, many innovation leaders struggle to conceive the significance of their impact. Platform-based business models are not just the real of geeks' startups, digital services, and Unicorns.This book shows there that their potential in creating value is higher than suspected.Even though platform ecosystems are complex, readers will take on a journey to become platform thinkers. Their eyes will be trained to look beyond what's visible and start reading the platform world around them. Then, they will be guided into a step-by-step process and learn how to write a new platform model from scratch.This book is the result of a decade of research. It offers both a framework and practical instruments to champion digital transformation in any organization. It is specially intended for those who are interested in the glittering platform world and are still trying to figure it out.