This book considers the basic ideas of quantum mechanics, treating the concept of amplitude and discusses relativity and the idea of anti-particles and explains quantum electrodynamics. It provides experienced researchers with an invaluable introduction to fundamental processes.

There are many excellent books on quantum theory from which one can learn to compute energy levels, transition rates, cross sections, etc. The theoretical rules given in these books are routinely used by physicists to compute observable quantities. Their predictions can then be compared with experimental data. There is no fundamental disagreement among physicists on how to use the theory for these practical purposes. However, there are profound differences in their opinions on the ontological meaning of quantum theory. The purpose of this book is to clarify the conceptual meaning of quantum theory, and to explain some of the mathematical methods which it utilizes. This text is not concerned with specialized topics such as atomic structure, or strong or weak interactions, but with the very foundations of the theory. This is not, however, a book on the philosophy of science. The approach is pragmatic and strictly instrumentalist. This attitude will undoubtedly antagonize some readers, but it has its own logic: quantum phenomena do not occur in a Hilbert space, they occur in a laboratory.

Fundamental Processes in Ecology presents a way to study ecosystems that is not yet available in ecology textbooks but is resonant with current thinking in the emerging fields of geobiology and Earth System Science. It provides an alternative, process-based classification of ecology and proposes a truly planetary view of ecological science. To achieve this, it asks (and endeavours to answer) the question, "what are the fundamental ecological processes which would be found on any planet with Earth-like, carbon based, life?" The author demonstrates how the idea of fundamental ecological processes can be developed at the systems level, specifically their involvement in control and feedback mechanisms. This approach allows us to reconsider basic ecological ideas such as energy flow, guilds, trade-offs, carbon cycling and photosynthesis; and to put these in a global context. In doing so, the book puts a much stronger emphasis on microorganisms than has traditionally been the case. The integration of Earth System Science with ecology is vitally important if ecological science is to successfully contribute to the massive problems and future challenges associated with global change. Although the approach is heavily influenced by Lovelock's Gaia hypothesis, this is not a popular science book about Gaian theory. Instead it is written as an accessible text for graduate student seminar courses and researchers in the fields of ecology, earth system science, evolutionary biology, palaeontology, history of life, astrobiology, geology and physical geography.

This book is about a new and very radical information-theoretic approach to comprehending and modelling reality. It is called "Process Physics" because it uses a process model of time rather than, as in current physics, a non-process geometrical model of time, a model so successfully developed and used by Galileo, Newton, Einstein and others that for many physicists the phenomenon of time is actually identified with this geometrical model. Now, for the first time in the history of physics, we have a model of time that includes the distinctions between past, present and future. These distinctions cannot be made in the geometrical model of time. For this reason we can call the current prevailing physics Non-Process Physics. In Process Physics we turn to a fundamental reformulation of the key concepts in physics. This entails that we must identify both the successes and failures of the Non-Process Physics, for it almost succeeded.

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. - Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings - Expands readers' understanding of disruptive statistics in a new chapter (chapter 8) - Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. - Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

This book ushers in a new era of experimental and theoretical investigations into collective processes, structure formation, and self-organization of nuclear matter. It reports the results of experiments wherein for the first time the nuclei constituting our world (those displayed in Mendeleev's table as well as the super-heavy ones) have been artificially created. Pioneering breakthroughs are described, achieved at the "Proton-21" Laboratory, Kiev, Ukraine in a variety of new physical and technological directions.