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The International Journal of Nanotechnology and Molecular Computation (IJNMC) publishes groundbreaking and innovative research in all areas of nanotechnology and molecular computation. These include, but are not limited to, theoretical, empirical, and technological research on all forms of molecular and chemical computing (DNA, RNA, peptide, etc.), membrane computing, carbon nanotubes and other nanoscale devices, quantum information processing, nanocomputation, algorithmic assembly and morphogenesis, complex adaptive matter and intelligent materials, molecular machines, nanorobotics, and new computational paradigms appropriate to nanotechnology. IJNMC is especially seeking papers in the fruitful interdisciplinary field where nanoscience and computer science meet. IJNMC encourages submissions in all areas of nanotechnology and molecular computation. These include, but are not limited to, theoretical, empirical, and technological research on all forms of molecular and chemical computing (DNA, RNA, peptide, etc.), membrane computing, carbon nanotubes and other nanoscale devices, quantum information processing, nanocomputation, algorithmic assembly and morphogenesis, complex adaptive matter and intelligent materials, molecular machines, nanorobotics, and new computational paradigms appropriate to nanotechnology.
Theoretical and Technological Advancements in Nanotechnology and Molecular Computation: Interdisciplinary Gains compiles research in areas where nanoscience and computer science meet. This book explores current and future trends that discus areas such as, cellular nanocomputers, DNA self-assembly, and the architectural design of a "nano-brain." The authors of each chapter have provided in-depth insight into the current state of research in nanotechnology and molecular computation as well as identified successful approaches, tools and methodologies in their research.
This book addresses topics of mobile multi-agent systems, pattern formation, biological modelling, artificial life, unconventional computation, and robotics. The behaviour of a simple organism which is capable of remarkable biological and computational feats that seem to transcend its simple component parts is examined and modelled. In this book the following question is asked: How can something as simple as Physarum polycephalum - a giant amoeboid single-celled organism which does not possess any neural tissue, fixed skeleton or organised musculature - can approximate complex computational behaviour during its foraging, growth and adaptation of its amorphous body plan, and with such limited resources? To answer this question the same apparent limitations as faced by the organism are applied: using only simple components with local interactions. A synthesis approach is adopted and a mobile multi-agent system with very simple individual behaviours is employed. It is shown their interactions yield emergent behaviour showing complex self-organised pattern formation with material-like evolution. The presented model reproduces the biological behaviour of Physarum; the formation, growth and minimisation of transport networks. In its conclusion the book moves beyond Physarum and provides results of scoping experiments approximating other complex systems using the multi-agent approach. The results of this book demonstrate the power and range of harnessing emergent phenomena arising in simple multi-agent systems for biological modelling, computation and soft-robotics applications. It methodically describes the necessary components and their interactions, showing how deceptively simple components can create powerful mechanisms, aided by abundant illustrations, supplementary recordings and interactive models. It will be of interest to those in biological sciences, physics, computer science and robotics who wish to understand how simple components can result in complex and useful behaviours and who wish explore the potential of guided pattern formation themselves.
Actin, a fundamental building block of intracellular cytoskeletal filaments, holds immense potential as a platform for information processing. In this groundbreaking book, the authors establish a solid theoretical and modelling foundation for the future experimental prototyping of actin-based cytoskeleton computers in laboratory settings.By delving into the mechanisms of signal propagation and perturbations on actin filaments, the authors uncover the underlying principles of information processing at the sub-cellular level. Through their innovative insights, novel principles for information processing emerge, potentially revolutionising the field of future and emergent information technologies and computational biology.The book's theoretical and modelling framework serves as a crucial stepping stone towards the experimental realisation of actin-based cytoskeleton computers. Bridging the gap between theory and practice, researchers and scientists can leverage this knowledge to conduct experiments, validate hypotheses, and explore the practical implications of actin-based computing systems.
This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated. The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains. This book focuses on data science and problem definition, data cleansing, feature selection and extraction, statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting. This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions.
Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data appropriate measures must be taken in conducting studies and reporting findings. Innovations in Measuring and Evaluating Scientific Information provides emerging research on the theoretical base of scientific research and information literacy. While highlighting topics, such as bibliographical databases, forensic research, and trend analysis, this book explores visualization tools, software, and techniques for science mapping and scientific literature. This book is an important resource for scientific researchers, policy makers, research funding agencies, and students.
The International Journal of Nanotechnology and Molecular Computation (IJNMC) publishes groundbreaking and innovative research in all areas of nanotechnology and molecular computation. These include, but are not limited to, theoretical, empirical, and technological research on all forms of molecular and chemical computing (DNA, RNA, peptide, etc.), membrane computing, carbon nanotubes and other nanoscale devices, quantum information processing, nanocomputation, algorithmic assembly and morphogenesis, complex adaptive matter and intelligent materials, molecular machines, nanorobotics, and new computational paradigms appropriate to nanotechnology. IJNMC is especially seeking papers in the fruitful interdisciplinary field where nanoscience and computer science meet. IJNMC encourages submissions in all areas of nanotechnology and molecular computation. These include, but are not limited to, theoretical, empirical, and technological research on all forms of molecular and chemical computing (DNA, RNA, peptide, etc.), membrane computing, carbon nanotubes and other nanoscale devices, quantum information processing, nanocomputation, algorithmic assembly and morphogenesis, complex adaptive matter and intelligent materials, molecular machines, nanorobotics, and new computational paradigms appropriate to nanotechnology.
Due to natural factors and human activity, nature has been changing since the beginning of time. As the environment continuously undergoes such transitions, it is necessary for society to understand the complex interdependency between nature and humanity to promote global sustainability. Promoting Global Environmental Sustainability and Cooperation is a pivotal reference source featuring the latest scholarly research on the rising awareness of environmental issues and their relationships with sustainable development. While highlighting topics including global governance, international business, and sustainable consumption, this book is ideally designed for environmentalists, developers, policy makers, academicians, researchers, and graduate-level students seeking current research on the globalized world in relation to environmental issues.
Advanced technology-driven globalization has not only revolutionized world economic growth but has also improved cross-border research methods, inevitably influencing ethical behaviors. Increases in interdisciplinary and cross-cultural research collaboration have further enhanced issues surrounding ethical research and practice. Contemporary Issues Surrounding Ethical Research Methods and Practice identifies the impact of globalization, advanced technology, and international collaboration on ethical research methods and practice. This comprehensive reference work serves as a critical resource for institutions, organizations, and individuals seeking further understanding of ethical research practices. This publication reveals the numerous issues in research ethics and practice including, but not limited to, law and economics of integrity as social capital, ethical research issues in Africa, research issues in Saudi Arabia, ethical issues in qualitative research methods, research with teen mothers and IRBs, ethical research and decision making models, a framework for ethical decision making in cross-cultural settings, and research ethics education.