Best Selling Books by Peter Simon

This second edition of the book reflects the authors' work to continually improve upon the model and to apply the methodology to a broader range of issues. The book includes: • An entirely new chapter on managing risk in programs, which is an important dimension in today's world of ever more complex initiatives • Updated material and methodology more closely aligned with relevant international standards • Emphasis on minimizing the threats and maximizing the opportunities to optimize achievement of your project goals Based on sound principles and best practices, this book guides any member of the project management team in conducting risk management in a real-world environment.

Enormous strides have been made in this century, some of them advantageous and other detrimental. Science has developed so fast that we have conquered space as far as the moon and even further with unmanned rockets. The speed at which we are travelling hardly gives time to stop and look back on the previous year and make comparisons with the way of life. Not even a superman can predict what the world will be like in twelve months' time. These memories are offered as a breathing space for anyone who may have travelled over the same ground as I have and seen or done the same things. It may not have been a very profitable existence but nevertheless enjoyable and interesting.

Two musical worlds collide when East meets West in the new book Comparison of Learning Classical Singing Between European and Chinese Singers.Zhong Jun Shen puts her training and knowledge of European opera and lieder together with her Chinese background to write this fascinating work that incisively shows the differences between the two forms of classical music. Peter Simon helps her as an interpreter, accompanist and opera enthusiast to put her text into a highly informative book to help emerging Chinese opera singers and their teachers grapple with the differences of singing techniques, languages and cultures.The tremendous cultural and language differences presented obstacles in writing this book, but a love for music conquered all.About the Authors: Zhong Jun Shen and Peter Simon have both been teachers and used their life experiences to write this book. Shen grew up and graduated as a European opera singer in Xian, North China, and in Arnhem, the Netherlands, and taught singing in South China. Born in Hungary, Simon taught English there and in China. They both live in the Netherlands.Author website: https: //learningeuropeanandchinesesinging.wordpress.comPublisher's website: http: //www.strategicpublishinggroup.com/title/ComparisonOfLearningClassicalSinging.html

A vivid, gripping and inspired portrayal of Mona, a splendid woman, diagnosed with Stage 4 lung cancer & given 3-6 months to live. And her loving Caregiver, who leaves his high-tech firm to stay at home with his frightened wife to help her find the doctors, clinical treatment and “threads of Hope” to empower and transform herself into a feisty Cancer warrior and believer in her own Survival. Until Mona’s mind betrays her with a “Logjam chemo brain” madness, and she is dropped by Sloan-Kettering, sent home like a soldier with PTSD to face a psychiatric ward and death. How her loving Caregiver’s close family team & “Orange Juice” manage to break Mona’s downward spiral! “A Universal Love Story. A Beautiful, Deeply-Human, Well-Written Book. Mona’s Story will Move You! It Reads like a Novel.” — Author/Editor Marcy Dermansky [The Red Car] “Karp and his wife, Mona, were surprised when a doctor diagnosed her with stage 4 lung cancer in 1993. The mother of two, in her mid- 50s, had never been a smoker.” “Her chemotherapy had physical side effects...But Mona was most affected cognitively. She called it a ‘logjam’—a mental fogginess that marred her short-term memory and concentration. This bright woman, a former English teacher who loved travel, was now prone to psychotic episodes.” “Karp’s book is both melancholic and engaging. His love and devotion to his wife are without question. He fondly details joyful moments, from the couple’s meet-cute decades earlier to bouts of happiness they reveled in post-diagnosis. The author’s generally unadorned prose in this touching memoir boasts instances of lyricism.” “An absorbing and moving account of a couple’s fight against a terrible disease.” — Kirkus Reviews “No one you Love is forever Dead if you truly Believe their Goodness and Beauty Cannot Perish...For precious moments, our Past was not dead; it was not even Past.” “Logjam of a Beauteous Mind”

Looks at the twenty-year history of the Grateful Dead, discusses the evolution of their music, and includes a profile of each band member

Reprint of the original, first published in 1843.

🔬 R Programming for Bioinformatics: Analysis of Genomic and Biological Data Unlock the Power of R—The Best Language for Bioinformatics Mastery If you're diving into the world of bioinformatics, there's one skill you can't afford to overlook: R programming for bioinformatics. This book is your ultimate guide to understanding how the R language for bioinformatics is revolutionizing the way researchers analyze genomic, microarray, and sequencing data. Whether you're a student, researcher, or data scientist, this book will help you learn R for bioinformatics from the ground up. It’s tailored for those who want to understand the application of R programming in bioinformatics—with practical, real-world examples that walk you through essential tasks like gene expression analysis and biological data visualization. ✅ Why This Book is Essential: 📈 Focus on Practical Application: Learn to apply R programming in bioinformatics with clear step-by-step tutorials. 🧬 Bioconductor and Beyond: Dive into industry-standard packages such as Bioconductor, mastering tools for gene sequencing, microarray data, and more. 🔍 Real-World Use Cases: Understand how R programming for bioinformatics is used in modern biological research, from data wrangling to statistical modeling. 👩‍💻 Beginner-Friendly Format: Whether you're just starting or enhancing your skills, this is your gateway to mastering one of the most powerful bioinformatics programming languages. 🌐 Comprehensive & Up-to-Date: Covers the latest techniques, packages, and trends in bioinformatics R programming and data science. 📚 Inside You'll Discover: How R language bioinformatics tools can transform raw biological data into meaningful insights. Hands-on coding with R programming for bioinformatics tutorials tailored for beginners and intermediates. The role of programming languages in bioinformatics, with a special focus on why R is the best programming language for bioinformatics projects. If you're serious about mastering bioinformatics with R programming, this book is the resource you need. Learn to code, analyze, and interpret biological data with confidence using the most trusted bioinformatics coding language available. ✅ Join thousands of researchers who are mastering R—the top programming language used in bioinformatics. 📘 Grab your copy now and take the first step toward becoming a bioinformatics expert with R programming!

The Spatial Grasp Model suggests uses beyond the theoretical, including the examination of hurricanes and forest fires. Investigating group behaviour of ocean animals, discovery of unknown terrain features, and path-findings in large transport networks truly demonstrates the real-world application of SGL.

Leading international security expert Peter Sapaty introduces a new, high-level distributed processing and control approach capable of finding real-time solutions for irregularities, crises, and security problems emerging any time and in any part of the world.

Perfect for system scientists, application programmers, industry managers, defence and security commanders, emergency agencies, university students, philosophers, and psychologists too.

Governmental agencies and private companies of different countries are actively moving into space around Earth with the aim to provide smart communication and industry, security, and defense solutions. This often involves massive launches of small, cheap satellites in low earth orbits, which is also contributing to the growth of space debris. The book offers a high-level holistic system philosophy, model, and technology that can effectively organize distributed space-based systems, starting with their planning, creation, and growth. The Spatial Grasp Technology described in the book, based on parallel navigation and pattern-matching of distributed environments with high-level recursive mobile code, can effectively provide any networking protocols and important system applications, by integrating and tasking available terrestrial and celestial equipment. This book contains practical examples of technology-based solutions for tracing hypersonic gliders, continuing observation of certain objects and infrastructures on Earth from space, space-based command and control of large distributed systems, as well as collective removal of increasing amounts of space junk. Earlier versions of this technology were prototyped and used in different countries, with the current version capable of being quickly implemented in traditional industrial or even university environments. This book is oriented toward system scientists, application programmers, industry managers, and university students interested in advanced MSc and PhD projects related to space conquest and distributed system management. Dr Peter Simon Sapaty, Chief Research Scientist, Ukrainian Academy of Sciences, has worked with networked systems for five decades. Outside of Ukraine, he has worked in the former Czechoslovakia (now Czech Republic and Slovakia), Germany, the UK, Canada, and Japan as a group leader, Alexander von Humboldt researcher, and invited and visiting professor. He launched and chaired the Special Interest Group (SIG) on Mobile Cooperative Technologies in Distributed Interactive Simulation project in the United States, and invented a distributed control technology that resulted in a European patent and books with Wiley, Springer, and Emerald. He has published more than 250 papers on distributed systems and has been included in the Marquis Who’s Who in the World and Cambridge Outstanding Intellectuals of the 21st Century. Peter also works with several international scientific journals.

The book describes a novel ideology and supporting information technology for integral management of both civil and defence-orientated large, distributed dynamic systems. The approach is based on a high-level Spatial Grasp Language, SGL, expressing solutions in physical, virtual, executive and combined environments in the form of active self-evolving and self-propagating patterns spatially matching the systems to be created, modified and controlled. The communicating interpreters of SGL can be installed in key system points, which may be in large numbers (up to millions and billions) and represent equipped humans, robots, laptops, smartphones, smart sensors, etc. Operating under gestalt-inspired scenarios in SGL initially injected from any points, these systems can be effectively converted into goal-driven spatial machines (rather than computers as dealing with physical matter too) capable of responding to numerous challenges caused by growing world dynamics in the 21st century. Including numerous practical examples, the book is a valuable resource for system managers and programmers.

This is a compilation of personally written verses and quotes with the sole purpose of giving inspiration and motivation to people who need it and to those who think they don’t.

R Programming for AI: Learn to Build Intelligent Models, Analyze Data, and Unlock AI's Full Potential Using R’s Cutting-Edge Tools and Libraries Discover How to Use R for Artificial Intelligence—From Machine Learning to Neural Networks, All in One Powerful Language Are you ready to combine the worlds of artificial intelligence and data science with R? Whether you're a data analyst, programmer, or student, R Programming for AI gives you the hands-on skills to build intelligent systems using the versatile and powerful R programming language. This book is your ultimate guide to mastering R for artificial intelligence, teaching you how to harness the full potential of the R language for AI projects—from training machine learning models to building neural networks and working with natural language processing. 🚀 What You’ll Learn Inside This R Programming Course: ✅ How to Use R for Machine Learning Create predictive models using powerful R packages like caret, randomForest, and xgboost. This is R programming training you can apply instantly. ✅ Deep Learning with R Explore neural networks using keras and tensorflow in R. Learn to build AI models capable of solving complex tasks like image and speech recognition. ✅ Natural Language Processing with R Language Analyze text, build sentiment analysis engines, and apply NLP with R’s advanced text mining packages—perfect for real-world AI challenges. ✅ Data Analysis and Visualization Combine R coding and AI techniques to manipulate, explore, and visualize data in ways that drive smart decisions. ✅ Real Projects, Real Results Each chapter includes a hands-on project to reinforce your skills. You'll work on fraud detection, customer segmentation, and more. 💡 Why Choose the R Language for AI? 🔧 R is a Programming Language Built for Data – Unlike other languages, R was made for statistical computing and data modeling, making it ideal for AI applications. 🌐 All-in-One Solution – No need to jump between platforms. The R program software environment gives you everything: coding, analysis, modeling, and visualization. 🧠 Perfect for Analysts, Scientists & Developers – Whether you're new to AI or looking to expand your skill set, this book blends R development language expertise with AI best practices. 🎯 Who This R Course is For: Programmers ready to learn R programming for artificial intelligence Students seeking a practical R programming language course that includes AI applications Data analysts looking to upskill with an R language course focused on machine learning Self-learners who prefer a book-based R coding program over expensive online courses Anyone ready to apply language R programming to real-world intelligent systems 🎁 Bonus Content You’ll Get: Ready-to-run R code programming scripts and AI templates Sample datasets for hands-on practice Access to resources via our R programming website Tips and tricks to get the most from the R computer language in AI workflows ✅ Don’t Just Analyze Data—Make It Smarter with AI and R If you’ve been searching for the perfect way to learn R while also mastering AI, this is the guide for you. More than just theory, this book delivers practical R programming classes in AI that you can implement immediately. So whether you're looking to enroll in an R language online course, build your own AI models, or take your data career to the next level, this book is your first step. 🛒 Scroll up and grab your copy of R Programming for AI now—and turn data into intelligent action using the full power of R!

Master Machine Learning Using R — Build Powerful Predictive Models with Confidence! Are you eager to unlock the potential of machine learning in R Studio but unsure how to start? Whether you’re a complete beginner or an analyst looking to expand your skills, R Programming for Machine Learning is the perfect guide to learn how to apply machine learning techniques using the versatile R programming language. This book offers a comprehensive introduction to using R for machine learning, covering essential algorithms and real-world examples that empower you to build accurate predictive models. What You’ll Gain from This Machine Learning Course in R: Learn R Programming in Machine Learning Context Discover why the R language for machine learning is widely favored for data science, and how to leverage it to build models. Supervised Learning Techniques in R Master regression and classification methods to predict outcomes and categorize data efficiently. Unsupervised Learning in R Studio Explore clustering and pattern detection with hands-on examples. Model Validation and Optimization Learn how to evaluate your models and improve performance using practical techniques. Step-by-Step R Programming Classes Designed for learners who want a structured R programming course focused on machine learning applications. Why Choose This Book? 🧠 Ideal for Beginners and Intermediate Learners — Whether you want to learn R programming from scratch or deepen your knowledge of machine learning with R. 💻 Practical and Hands-On — Learn by doing, with examples and projects that bring R coding concepts to life. 📊 Focus on Data Science with R — Build skills that are in high demand across industries. 🎓 Comprehensive Learning Path — From basics to advanced topics in an easy-to-follow format that mimics a top-tier machine learning in R course. Who Should Get This Book? Beginners eager to learn R language for data science and machine learning Data analysts and scientists looking to apply R programming in machine learning Students taking machine learning course in R or machine learning with R course online Anyone passionate about mastering the R programming language for AI and predictive analytics Start building intelligent models today with the power of R programming for machine learning. 🛒 Order your copy now and transform your data skills with R!

Unlock the Power of Data with R Programming for Data Analysis — Your Complete Guide from Beginner to Expert! Are you eager to master data analytics using R programming but unsure where to start? Whether you're a student, aspiring data analyst, or professional looking to upskill, this book is the perfect starting point to learn R for data analysis and become proficient with one of the most powerful tools in the industry. What Makes This Book Your Ultimate Resource for Data Analysis Using R Software? This comprehensive guide covers everything you need to confidently use R software data analysis tools, starting from installation to mastering essential programming concepts. You’ll learn how to harness the full potential of the R language for data science and data analytics with R programming to unlock actionable insights from your data. Inside You’ll Discover: Step-by-step guidance on setting up R and RStudio, the leading R data analysis software, so you can get started quickly. Master core data structures in R language data analysis: vectors, lists, data frames, and factors—building blocks for efficient data analysis using R programming. Practical techniques for cleaning, transforming, and visualizing data—skills every R data analyst needs. How to apply data science with R basics to perform statistical analysis and modeling. Real-world examples that make learning intuitive and effective—like a top R programming course or R programming training session. Who Should Read This? Beginners wanting to learn R programming specifically for data science with R Analysts seeking to upgrade their skills using the best r analysis software Students enrolled in a data science with R course or anyone learning the r programming language course Professionals eager to master r coding language for actionable data analytics R programming Why Choose This Book Over Others? This isn’t just another technical manual. It’s designed to simplify the complexities of R programming for data analysis with clear explanations, practical exercises, and a focus on real-world applications. Whether you want to become a skilled R language for data analytics professional or simply want to understand your data better, this book makes it achievable. Start your journey to becoming a confident data analyst today. Scroll up and order R Programming for Data Analysis now—unlock insights, drive decisions, and transform data into success!

This book investigates new important applications of the Spatial Grasp Technology (SGT) allowing us to effectively simulate and manage large distributed dynamic systems on semantic and holistic levels. This patented technology, developed for decades and in different countries, is based on a completely different philosophy and model allowing us to directly operate in united distributed physical and virtual spaces and provide system solutions much simpler and more compact than under other approaches. The described applications include basic operations suitable for solving many network-related problems, simulation of such mysterious concept as consciousness so important for the design of advanced intelligent systems, modelling the spread of viruses and distribution of antivirus vaccine, and also implementation of the latest decision-centric and mosaic-based organizational concepts important for modern defence and industrial systems. The described technology version with its Spatial Grasp Language can be implemented even within university environments, with communicating language interpreter copies, potentially numbering millions to billions, easily embedded into any existing systems, including Internet, thus converting the whole world into a powerful symbiotic simulation management engine. The book is oriented on system scientists, application programmers, industry managers, and also university students interested in advanced M.Sc. and Ph.D. projects related to distributed system management.

The ideas of this book originate from the mobile WAVE approach which allowed us, more than a half century ago, to implement citywide heterogeneous computer networks and solve distributed problems on them well before the internet. The invented paradigm evolved into Spatial Grasp Technology and resulted in a European patent and eight books. The volumes covered concrete applications in graph and network theory, defense and social systems, crisis management, simulation of global viruses, gestalt theory, collective robotics, space research, and related concepts. The obtained solutions often exhibited high system qualities like global integrity, distributed awareness, and even consciousness. This current book takes these important characteristics as primary research objectives, together with the theory of patterns covering them all. This book is oriented towards system scientists, application programmers, industry managers, defense and security commanders, and university students (especially those interested in advanced MSc and PhD projects on distributed system management), as well as philosophers, psychologists, and United Nations personnel.

This book describes the application of a high-level technology to solve problems in distributed systems that have networked structures with millions to billions of nodes. The main difference from other works is that the approach is based on holistically and simultaneously analysing these systems using a spatial pattern-matching mode, which produces solutions hundreds of times faster than usual. The latest version of the technology is described, together with implementation details and basic Spatial Grasp Language. In addition, the book highlights numerous solutions, covering graph and network problems, their use in large social, industrial, and business ecosystems, social robotics and driverless transport, and the possibility of extrapolating from known gestalt laws on distributed systems, which could potentially be applied in civil and defence contexts. The book is intended for system scientists, business and industry managers, economists, application programmers, security and defence personnel, as well as university students.

R Programming for Beginners: Master the Fundamentals of R, Even with Zero Coding Experience The Ultimate Beginner’s Guide to Learning R—Perfect for First-Time Coders, Data Enthusiasts, and Future Analysts! Ready to dive into the world of data but not sure where to start? Whether you're exploring data science with R, planning to take an R programming online course, or just curious about coding, R Programming for Beginners is your go-to guide for mastering the essentials of the R programming language—no technical background needed. This book is more than just a read—it's a hands-on R course for beginners that walks you step by step through real-world examples, making learning R programming for beginners simple, effective, and even fun. 🔍 What This R Programming Book Covers: ✅ Introduction to R Software for Beginners Learn what R is, how to install and use R Studio for beginners, and why it's one of the top tools for data analysis and statistical computing. ✅ Essential R Programming Language Basics Master the core concepts: Data types and variables Vectors, matrices, and data frames Control structures (if statements, loops) Writing custom functions Basic R programs for data manipulation and cleaning ✅ Hands-On Practice for Real Learning Apply what you learn with practical examples and exercises—just like a real R programming course for beginners or an R programming tutorial for beginners would provide. 🎯 Why This Is the Best Way to Learn R Programming Online: 📘 Structured Like an R Programming Language Online Course – With clear progression and learning checkpoints. 💡 Beginner-Friendly Explanations – No jargon. Just step-by-step help for anyone who wants to learn R programming the right way. 💻 Perfect Alternative to an R Software Online Course – Learn at your own pace, with full control. 📊 Built for Data Analysis – This is not just theory—you'll learn how to apply R to real data. 🔧 Your First Step into Data Science with R – Ideal for building a strong foundation before advancing to machine learning, statistics, or big data. 👨‍🏫 Who This R Programming Training Is For: Absolute beginners who want a friendly R language tutorial for beginners Students looking to learn R language for beginners without overwhelming content Professionals starting a data career and seeking an easy-to-follow R software tutorial for beginners Self-learners who want a book-based R programming language course that replaces expensive bootcamps Anyone interested in R programming for dummies-style guidance, minus the fluff 🎁 Bonus Learning Tools Included: Practice datasets and sample code Clear R exercises with solutions Downloadable materials via our R language website Recommendations for the best tools to learn R language online Guidance on how to continue with an R programming online course after completing this book ✅ Start Your R Coding Journey Today If you’ve been searching for a beginner R tutorial that makes sense, or a way to learn R programming without frustration, this is the book for you. Whether you’re taking your first steps or using it as a supplement to an R programming language online course, this beginner guide will help you learn R language fast and with confidence. 🛒 Scroll up and get your copy today—start your journey with R, the powerful programming language for data science, now!