Ockham's Razor is a blazingly candid memoir and recovery guide within a spiritual context. It is a deeply moving, intensely caring, intimate portrayal of a gay man's journey through abysmal depression, manic episodes, extreme indulgence, and sexual addiction. He eventually discovered the power of the simple solution and enjoys enduring sobriety. Unlike many self-help books, it speaks from the heart of one who's been there and back too many times. It offers a simple, doable plan that can lead to a safe harbor for addicts and people on the brink of disaster. It is a valuable source of information and inspiration for manic depressives, addicts, their supporters, co-dependents, and professionals in the field, gift-wrapped in a literate and fascinating read. Twenty-six years of practicing, studying, rising above, and sinking to the depths; recommitment, regret, disillusionment with incompetent professionals, twelve-step commitments, and lapses, confirms the author as an expert on the subject with a workable solution.
Two Ways to Lose Your Faith is a book that reevaluates traditional Christian theology as well as the discipline known as philosophy of religionwhich deals with the big questions. This book is not a warning of how one can lose their faith or a book that will make you lose your faith. Rather, it is a book that stresses the importance of reevaluating your faith. If we still live believing what we believed in Sunday school, it shows that we have not grown in our understanding of what we believe. St. Paul once wrote, When I was a child, I spoke as a child, I understood as a child, I thought as a child, but when I became a man I put away childish things,and I would add childish beliefs. In this book, the author will walk you through the process of reevaluating your faith so that you can grow up into what your faith can be now.
DNA Nanoscience: From Prebiotic Origins to Emerging Nanotechnology melds two tales of DNA. One is a look at the first 35 years of DNA nanotechnology to better appreciate what lies ahead in this emerging field. The other story looks back 4 billion years to the possible origins of DNA which are shrouded in mystery. The book is divided into three parts comprised of 15 chapters and two Brief Interludes. Part I includes subjects underpinning the book such as a primer on DNA, the broader discipline of nanoscience, and experimental tools used by the principals in the narrative. Part II examines the field of structural DNA nanotechnology, founded by biochemist/crystallographer Nadrian Seeman, that uses DNA as a construction material for nanoscale structures and devices, rather than as a genetic material. Part III looks at the work of physicists Noel Clark and Tommaso Bellini who found that short DNA (nanoDNA) forms liquid crystals that act as a structural gatekeeper, orchestrating a series of self-assembly processes using nanoDNA. This led to an explanation of the polymeric structure of DNA and of how life may have emerged from the prebiotic clutter.
This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the 'black box' approach of machine learning by reducing conjectures such as magic numbers (hyper-parameters) or model-type bias. Information-based machine learning enables data quality measurements, a priori task complexity estimations, and reproducible design of data science experiments. The benefits include significant size reduction, increased explainability, and enhanced resilience of models, all contributing to advancing the discipline's robustness and credibility. While bridging the gap between machine learning and disciplines such as physics, information theory, and computer engineering, this textbook maintains an accessible and comprehensive style, making complex topics digestible for a broad readership. Information-Driven Machine Learning explores the synergistic harmony among these disciplines to enhance our understanding of data science modeling. Instead of solely focusing on the "how," this text provides answers to the "why" questions that permeate the field, shedding light on the underlying principles of machine learning processes and their practical implications. By advocating for systematic methodologies grounded in fundamental principles, this book challenges industry practices that have often evolved from ideologic or profit-driven motivations. It addresses a range of topics, including deep learning, data drift, and MLOps, using fundamental principles such as entropy, capacity, and high dimensionality. Ideal for both academia and industry professionals, this textbook serves as a valuable tool for those seeking to deepen their understanding of data science as an engineering discipline. Its thought-provoking content stimulates intellectual curiosity and caters to readers who desire more than just code or ready-made formulas. The text invites readers to explore beyond conventional viewpoints, offering an alternative perspective that promotes a big-picture view for integrating theory with practice. Suitable for upper undergraduate or graduate-level courses, this book can also benefit practicing engineers and scientists in various disciplines by enhancing their understanding of modeling and improving data measurement effectively.
This book examines the evolving concept of national security and how human systems could be governed in an ever turbulent and dynamic world. It takes a revised look at the concept of national security, previously researched and identified by the author, based on the present context but with a futuristic appreciation of governance, primarily national but extended to global perspectives, in the modern and dynamically shifting world. The book emphasises the need for governments to maximise national security for the well-being of their people. The concept of national security is taken as the key subject of national governance which is extendable to global governance wherein national security is not only the physical or military security alone but also the overall well-being of the people of a nation. This book explores how national security can be achieved by balancing its various elements in different terrains where the game of governance is played in national as well as global perspective. It also presents additional findings and observations to show that the approach is transformative, redefining the key knowledge paradigms. This book is relevant for policy makers, students, researchers and academics who wish to explore and rethink their approach towards governing the human systems, whose well-being is the responsibility of governments.
One of the most striking features of mathematics is the fact that we are much more certain about the mathematical knowledge we have than about what mathematical knowledge is knowledge of. Are numbers, sets, functions and groups physical entities of some kind? Are they objectively existing objects in some non-physical, mathematical realm? Are they ideas that are present only in the mind? Or do mathematical truths not involve referents of any kind? It is these kinds of questions that have encouraged philosophers and mathematicians alike to focus their attention on issues in the philosophy of mathematics. Over the centuries a number of reasonably well-defined positions about the nature of mathematics have been developed and it is these positions (both historical and current) that are surveyed in the current volume. Traditional theories (Platonism, Aristotelianism, Kantianism), as well as dominant modern theories (logicism, formalism, constructivism, fictionalism, etc.), are all analyzed and evaluated. Leading-edge research in related fields (set theory, computability theory, probability theory, paraconsistency) is also discussed. The result is a handbook that not only provides a comprehensive overview of recent developments but that also serves as an indispensable resource for anyone wanting to learn about current developments in the philosophy of mathematics.-Comprehensive coverage of all main theories in the philosophy of mathematics-Clearly written expositions of fundamental ideas and concepts-Definitive discussions by leading researchers in the field-Summaries of leading-edge research in related fields (set theory, computability theory, probability theory, paraconsistency) are also included
This book systematically investigates what follows about meaning in language if current views on the limited, or even redundant, role of linguistic semantics are taken to their radical conclusion. Focusing on conditionals, the book defends a wholly pragmatic, wholly inferential account of meaning – one which foregrounds a reasoning subject’s individual state of mind. The topics discussed in the book include conceptual content, internalism and externalism, the semantics-pragmatics distinction, meaning holism and explicit versus implicit communication. These topics and the author’s analysis of conditionals will allow the reader to engage with some traditional and current research in linguistics, philosophy and psychology.
Unified Field Theory was an expression first used by Einstein in his attempt to unify general relativity with electromagnetism. Unified Field Theory and Occam's Razor attempts to provide real answers to foundational questions related to this unification and should be of high interest to innovative scientists. A diverse group of contributing authors approach an old problem with an open-mindedness that presents a new and fresh perspective. The following topics are discussed in detail in the hope of a fruitful dialogue with all who are interested in this subject:This highly original book brings together theoretical researchers and experimentalists specialized in the areas of mathematics and epistemology, theoretical and experimental physics, engineering, and technology. For years they have worked independently on topics related to the foundations and unity of physics and have had numerous overlapping ideas in terms of using Clifford algebra and spinors. Within the book, new technology applications are outlined and theoretical results are complemented by interpretations of experimental data.
This book is a state-of-the-art review on the Physics of Emergence. The challenge of complexity is to focus on the description levels of the observer in context-dependent situations. Emergence is not only an heuristic approach to complexity, but it also urges us to face a much deeper question — what do we think is fundamental in the physical world?This volume provides significant and pioneering contributions based on rigorous physical and mathematical approaches — with particular reference to the syntax of Quantum Physics and Quantum Field Theory — dealing with the bridge-laws and their limitations between Physics and Biology, without failing to discuss the involved epistemological features.Physics of Emergence and Organization is an interdisciplinary source of reference for students and experts whose interests cross over to complexity issues.
