Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities. Comparing it with thermodynamics, which deals with transformation energy and represents a theoretical foundation of physical technology, IMD deals with transformation information, and can be considered a theoretical foundation of Information Computer Technology (ICT). ICT includes but is not limited to applied computer science, computer information systems, computer and data communications, software engineering, and artificial intelligence. In ICT, information flows from different data sources, and interacts to create new information products. The information flows may interact physically or via their virtual connections, initiating an information dynamic process that can be distributed in space. As in physics, a problem is understanding general regularities of the information processes in terms of information law, for the engineering and technological design, control, optimization, and development of computer technology, operations, manipulations, and management of real information objects. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach belongs to an interdisciplinary science that represents the new theoretical and computer-based methodology for system informational description and improvement, including various activities in such interdisciplinary areas as thinking, intelligent processes, management, and other nonphysical subjects with their mutual interactions, informational superimpositions, and the information transferred between interactions. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach can be used as a textbook or secondary text in courses on computer science, engineering, business, management, education, and psychology and as a reference for research and industry.
Information Macrodynamics (IMD) belong to an interdisciplinary science that represents a new theoretical and computer-based methodology for a system informational descriptionand improvement,including various activities in such areas as thinking, intelligent processes, communications, management, and other nonphysical subjects with their mutual interactions, informational superimposition, and theinformation transferredbetweeninteractions. The IMD is based on the implementation of a single concept by a unique mathematical principle and formalism, rather than on an artificial combination of many arbitrary, auxiliary concepts and/or postulates and different mathematical subjects, such as the game, automata, catastrophe, logical operations theories, etc. This concept is explored mathematically using classical mathematics as calculus of variation and the probability theory, which are potent enough, without needing to developnew,specifiedmathematical systemicmethods. The formal IMD model automatically includes the related results from other fields, such as linear, nonlinear, collective and chaotic dynamics, stability theory, theory of information, physical analogies of classical and quantum mechanics, irreversible thermodynamics, andkinetics. The main IMD goal is to reveal the information regularities, mathematically expressed by the considered variation principle (VP), as a mathematical tool to extractthe regularities and define the model, whichdescribes theregularities. The IMD regularities and mechanisms are the results of the analytical solutions and are not retained by logical argumentation, rational introduction, and a reasonable discussion. The IMD's information computer modeling formalism includes a human being (as an observer, carrier and producer ofinformation), with a restoration of the model during the objectobservations.
This is the first time detailed and updated information on the targeted delivery of imaging agents has been collected into a single handbook. This comprehensive volume presents the scientific background together with the latest experimental and clinical data in this fast-growing area. The Handbook of Targeted Delivery of Imaging Agents meets the requirements of the broadest audience including researchers, practitioners, and students. The basic principles of targeted delivery of imaging are presented and discussed together with various imaging agents and different imaging modalities such as gamma-imaging, MR-imaging, and CT, PET, and SPECT imaging. The book consists of eight parts and 39 chapters covering all aspects of targeted drug delivery-from the imaging theory and chemistry of imaging agents to their experimental and clinical use for targeted visualization of cancer, including ovarian, prostate, colorectal, and thyroid cancer, cardiovascular (atherosclerosis, myocardial infarction, and thromboses) and neurological diseases, infection, and inflammation sites. A special section discusses the targeted delivery of imaging agents into lymph nodes, which are often sites of metasteses during different malignant diseases. Monoclonal antibody-based targeted imaging agents are considered together with new approaches involving the use of labeled micelles, liposomes, and polymer-coated particles. The book describes the possible application of designer antibodies for the delivery of diagnostic agents, including the preparation, properties, labeling, and experimental use of multifunctional antibodies. The alternative improvement of antibody-directed targeting describes the application of avidin-biotin system for the delivery of imaging agents. Long circulating blood pool imaging agents are considered as a special group of organ-specific pharmaceuticals. The latest trends in the synthesis of immunoscintigraphic, MR, and CT agents are presented. This Handbook of Targeted Delivery of Imaging Agents is a must-have reference for all those who need to stay abreast of the latest developments in this hot field.
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