It is not unusual today to hear references to the New Science. Scientists in many disciplines recognise the need for a new paradigm; a science encompassing all facets of knowledge: current mainstream science, metaphysics, the paranormal, religions, philosophy, New Age, ancient knowledge. The Emerging New Science presents the big picture and can accommodate all fields of knowledge, embracing life, mind, the universe and consciousness, well beyond the narrow field of current science, which only handles the surface of the universe, and in fact is essentially limited to non-harmonic laws and principles, with subsequent non-harmonic technologies, resulting in pollution, harmful energies to life, extreme inefficiencies of energy generation, and deficiencies in energy supplies. The multiverse is a holographic fractal system of ordered dimensional levels for the evolution of consciousness. There is no dualism, infinite regression, once the subjectivity/objectivity illusion is understood. The purposes of life and the universe are known today, though not realised by the general public and the scientific community. However, one must firstly know what life itself is. Is it merely matter, mechanisms or is there something else? Science, in pushing its boundaries into more advanced regions of knowledge, such as, in particular, the origin of life and the universe, without a shift or expansion of its existing paradigm, must either utterly admit failure, or arrogantly grossly alter truth by forcing the miracles of creation to fit into its hugely limited framework. Leading visionary physicist Richard Feynman states it succinctly: What we need is imaginationwe have to find a new view of the world.

In recent years, the costs of new drug development have skyrocketed. The average cost of developing a new approved drug is now estimated to be $1.3 billion (DiMasi and Grabowski, 2007). At the same time, each year fewer new molecular entities (NMEs) are approved. DiMasi and Grabowski report that only 21.5 percent of the candidate drugs that enter phase I clinical testing actually make it to market. In 2007, just 17 novel drugs and 2 novel biologics were approved. In addition to the slowing rate of drug development and approval, recent years have seen a number of drugs withdrawn from the market for safety reasons. According to the Government Accountability Office (GAO), 10 drugs were withdrawn because of safety concerns between 2000 and March 2006 (GAO, 2006). Finding ways to select successful drug candidates earlier in development could save millions or even billions of dollars, reduce the costs of drugs on the market, and increase the number of new drugs with improved safety profiles that are available to patients. Emerging scientific knowledge and technologies hold the potential to enhance correct decision making for the advancement of candidate drugs. Identification of safety problems is a key reason that new drug development is stalled. Traditional methods for assessing a drug's safety prior to approval are limited in their ability to detect rare safety problems. Prior to receiving U.S. Food and Drug Administration (FDA) approval, a drug will have been tested in hundreds to thousands of patients. Generally, drugs cannot confidently be linked to safety problems until they have been tested in tens of thousands to hundreds of thousands of people. With current methods, it is unlikely that rare safety problems will be identified prior to approval. Emerging Safety Science: Workshop Summary summarizes the events and presentations of the workshop.

In this updated reissue of their classic Homeopathy: A Frontier in Medical Science, Italian physicians Paolo Bellavite and Andrea Signorini thoroughly examine previous and current literature on the science of homeopathy in order to discover answers to the elemental questions about homeopathy. Bellavite and Signorini engage in a fascinating discussion of the biophysics of water, biological effects of electomagnetic fields, chaos theory, and fractals.

Although in recent years some emerging economies have improved their performance in terms of R&D investment, outputs and innovative capacity, these countries are still blighted by extreme poverty, inequality and social exclusion. Hence, emerging countries are exposed to conditions which differ quite substantially from the dominant OECD model of innovation policy for development and welfare. This Research Handbook contributes to the debate by looking at how innovation theory, policy and practice interact, and explains different types of configurations in countries that are characterized by two contrasting but mutually reinforcing features: systemic failure and resourcefulness. Focusing on innovation governance and public policies, it aims to understand related governance failures and to explore options for alternative, more efficient approaches.

As a society, we are undergoing a number of interconnected changes, from burgeoning populations and rising standards of living, to widespread urbanisation and rapid environmental degradation, all under a changing climate. Together, these changes are having significant impacts on our freshwater systems. Rapid innovation is needed to adapt our water management practices and technologies in order to meet water requirements while maintaining and, where needed, restoring, the ecosystems that provide us with life sustaining services, so that the resource is also protected for the future. This book shows why and how emerging scientific knowledge and new technologies can support sustainable management and use of freshwater resources. It provides an introduction to what new science is out there, where it can contribute to sustainable water resources management, and what the next critical science gaps are that need to be filled. Designed to be accessible, yet comprehensive, the book is targeted at people interested in water resource management, but who may not be scientific experts in the various areas. The book takes an integrated, whole-system view, highlighting the importance of interdisciplinary and cross-sectoral working and the need for practitioners and researchers to work together to co-design and co-development future projects. It combines current scientific understanding with cases studies of application in the real world and includes chapters covering topics including: · The management of agricultural water demand using soil moisture measurements; · Enhancement of flood risk management and drought decision-making; · Monitoring river water quality and restoring urban lakes; and · Improved river basin planning. While the research presented was conducted in an Indian context, the scientific developments and potential solutions outlined are applicable to other parts of the world facing similar water challenges. Emerging Science for Sustainable Water Resources Management is edited by Dr Sunita Sarkar and Prof. Harry Dixon of the UK Centre for Ecology & Hydrology. It is an output from the 'Sustainable Use of Natural Resources to Improve Human Health and Support Economic Development' (SUNRISE) programme funded by the Natural Environment Research Council [award number NE/R000131/1]. The support and the contributions of Indian partner organisations to enable the active input of their staff towards this publication is acknowledged. Suggested citation: Sarkar S & Dixon H (Eds) 2021 Emerging Science for Sustainable Water Resources Management: A guide for water professionals and practitioners in India. UK Centre for Ecology & Hydrology 94pp.

Evolution of self-replicating macromolecules through natural selection is a dynamically ordered process. Two concepts are introduced to describe the physical regularity of macromolecular evolution: sequence space and quasi-species. Natural selection means localization of a mutant distribution in sequence space. This localized distribution, called the quasi-species, is centered around a master sequence (or a degenerate set), that the biologist would call the wild-type. The self-ordering of such a system is an essential consequence of its formation through self-reproduction of its macromolecular consti tuents, a process that in the dynamical equations expresses itself by positive diagonal coefficients called selective values. The theory describes how population numbers of wild type and mutants are related to the distribution of selective values, that is to say, how value topography maps into population topography. For selectively (nearly) neutral mutants appearing in the quasi- species distribution, population numbers are greatly enhanced as compared to those of disadvantageous mutants, even more so in continuous domains of such selectively valuable mutants. As a consequence, mutants far distant from the wild type may occur because they are produced with the help of highly populated, less distant precursors. Since values are cohesively distributed, like mountains on earth, and since their positions are multiply connected in the high-dimensional sequence space, the overpopulation of (nearly) neural mutants provides guidance for the evolutionary process. Localization in sequence space, subject to a threshold in the fidelity of reproduction, is steadily challenged until an optimal state is reached. The model has been designed according to experimentally determined properties of self-replicating molecules. The conclusions reached from the theoretical models can be used to construct machines that provide optimal conditions for the evolution of functional macromolecules.

In today’s world, technology has seamlessly woven itself into the fabric of our social existence, leaving an indelible mark. This book aims to illuminate the far-reaching impact of technology across various aspects of our lives, including business, commerce, lifestyle, sentiment analysis, and transportation. It delves into both the advantages and drawbacks of technology, emphasizing the need for a delicate balance between our social interactions and its pervasive influence. In today’s interconnected world, technology profoundly influences our social fabric. This book explores its impact across diverse domains—business, commerce, lifestyle, sentiment analysis, and transportation. It delves into both advantages and drawbacks, emphasizing the delicate balance between social interactions and technology, and guides aspiring researchers through cutting-edge topics like blockchain, the Internet of Things, AI, and machine learning. Key takeaways include understanding tech’s role, evaluating pros and cons, and exploring future research. The book caters to universities, graduate colleges, and research centers.

Many books offer coverage of the current work of top researchers, but rarely is any attempt made to look beyond the present day. Emerging Themes in Polymer Science is a unique book which not only documents the latest research but also provides an insight into the likely future of polymer science. At the heart of the debate, and a key feature of the book, is the relationship between polymer science and biology. Also discussed are polymer semi-conductors and devices; polymer colloids; biomaterials; tissue engineering and polymers; neutron and synchrotron research; theory; and rheology. Anyone involved in polymer research, including those in the fields of electronics and nanotechnology, will welcome this book.