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Diagnosis of Fetal Abnormalities

The 18-23-Week Scan

Ultrasound is the main diagnostic tool in the prenatal detection of congenital abnormalities. The Fetal Medicine Foundation has recognized the importance of this tool by setting up a program of training and certification to help establish high standards of scanning on an international scale. Diagnosis of Fetal Abnormalities: The 18-23-Week Scan provides the basis of learning for the theoretical component of this program. The book is a complete, authoritative clinician's textbook on using ultrasound in the prenatal detection of congenital abnormalities. It summarizes the prevalence, etiology, prenatal sonographic features and prognosis for both common and rare fetal abnormalities.

The book is a complete, authoritative clinician's textbook on using ultrasound in the prenatal detection of congenital abnormalities.

Self-Propagating High-Temperature Synthesis of Materials

Self-Propagating High-Temperature Synthesis of Materials is a collection of papers that reflects modern trends in self-propagating, high-temperature synthesis (SHS), a process for synthesis of modern materials carried out in the mode of autowave solid-flame combustion. To date, SHS-produced materials have found their application in different branches of modern science and technology, mechanical engineering, ferrous and nonferrous metallurgy, aerospace engineering, chemical industry, electrical engineering, and electronics. This book is useful not only for the SHS community, but also for researchers and engineers who are active in the following related fields of knowledge; theory and practice of combustion, materials science and technology, pure and applied chemistry, and metallurgy.

Z. A. Munir, Int. J. SHS. 6. No. 2. 165-185 (1997). 6. V. A. Knyazik, A. G.
Merzhanov, V. B. Solomonov. and A. S. Shteinberg. Fiz Gtireniya Vuyva. 21, No.
3, 69-73 (1985). 7. V. A. Knyazik and A. S. Shteinberg. J. Mater. Synthesis and
Processing. I, No. 2. 85-92 (1993). 8. V. Ya. Belousov, A. V. Piiipchenko, and L. D.
Lutsak. Pomshk. Metall. (Kiev). No. 10. 65-68. (1988). 9. A. O. Troitskii. Abstracts
of Papers, XI Nauchno-prakticheskii seminar po elektrofizike goreniya (XI
Scientific and ...

Utility-Based Learning from Data

Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used to make decisions. Specifically, the authors adopt the point of view of a decision maker who (i) operates in an uncertain environment where the consequences of every possible outcome are explicitly monetized, (ii) bases his decisions on a probabilistic model, and (iii) builds and assesses his models accordingly. These assumptions are naturally expressed in the language of utility theory, which is well known from finance and decision theory. By taking this point of view, the book sheds light on and generalizes some popular statistical learning approaches, connecting ideas from information theory, statistics, and finance. It strikes a balance between rigor and intuition, conveying the main ideas to as wide an audience as possible.

By taking this point of view, the book sheds light on and generalizes some popular statistical learning approaches, connecting ideas from information theory, statistics, and finance.

Technology-Based Learning

Maximizing Human Performance and Corporate Success

Companies worldwide are recognizing the critical importance of harnessing the learning capabilities of people and technology in the workplace. Technology-Based Learning: Maximizing Human Performance and Corporate Success shows how to capture and leverage this power, through techniques of knowledge management. This comprehensive overview examines the advantages and disadvantages of learning technologies, and provides a guide for selecting, costing, and applying the various techniques. Technology in the workplace has many overwhelming possibilities-so many that they've left many managers and HRD professionals confused and perplexed. Let Marquardt and Kearsley show you how to bring technology under control to meet the needs of your company and your employees.

Learning. Technologies. for. Maximizing. Human. Performance. At the Boeing
Training Center in Seattle, Washington, pilots and ground crew technicians are
trained via integrated CD-ROM and laser discs. Training modules are
downloaded into the network. Each training carrel includes a Windows-based PC
, where laser animation and audio can be overlaid on a computer-generated
graphic to stimulate changing scenery or weather conditions outside a cockpit "
window.

Partial Differential Equations

This text gathers, revises and explains the newly developed Adomian decomposition method along with its modification and some traditional techniques.

This text gathers, revises and explains the newly developed Adomian decomposition method along with its modification and some traditional techniques.

Membrane Fusion

A broad overview of recent progress in membrane fusion research, treating the subject from the fields of biophysics, biochemistry, cell biology, virology, and biotechnology. Featuring sections on the general properties of membranes and applications of membrane fusion techniques, this sourcebook outl

REFERENCES 1. Zimmermann, U., Scheurich, P., Pilwat, G., and Benz, R. (1981)
. Cells with manipulated functions: New perspectives for cell biology, medicine
and technology. Angewandte Chemie, Int. Ed. Engl. 20:325344. 2. Zimmermann,
U., and Vienken, J. (1982). Electric field-induced cellto-cell fusion. J. Membrane
Biol. 67:165-182. 3. Zimmermann, U. (1982). Electric field-mediated fusion and
related electrical phenomena. Biochim. Biophys. Acta 694:227-277. 4.
Zimmermann ...

Stochastic Modelling for Systems Biology, Second Edition

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. New in the Second Edition All examples have been updated to Systems Biology Markup Language Level 3 All code relating to simulation, analysis, and inference for stochastic kinetic models has been re-written and re-structured in a more modular way An ancillary website provides links, resources, errata, and up-to-date information on installation and use of the associated R package More background material on the theory of Markov processes and stochastic differential equations, providing more substance for mathematically inclined readers Discussion of some of the more advanced concepts relating to stochastic kinetic models, such as random time change representations, Kolmogorov equations, Fokker-Planck equations and the linear noise approximation Simple modelling of "extrinsic" and "intrinsic" noise An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional mathematical detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

4.9 Using the statistical programming language, R 4.9.1 Introduction R (
sometimes known as GNU S) is a programming language for data analysis and
statistics. It is a completely free open-source software application and very widely
used by professional statisticians. It is also very popular in certain application
areas, including bioinformatics. R is a dynamically typed interpreted language,
and it is typically used interactively. It has many built-in functions and libraries
and is ex- tensible, ...

Advanced System Modelling and Simulation with Block Diagram Languages

Advanced System Modelling and Simulation with Block Diagram Languages explores and describes the use of block languages in dynamic modelling and simulation. The application of block diagrams to dynamic modelling is reviewed, not only in terms of known components and systems, but also in terms of the development of new systems. Methods by which block diagrams clarify the dynamic essence of systems and their components are emphasized throughout the book, and sufficient introductory material is included to elucidate the book's advanced material. Widely used continuous dynamic system simulation (CDSS) languages are analyzed, and their technical features are discussed. This self-contained resource includes a review section on block diagram algebra and applied transfer functions, both of which are important mathematical subjects, relevant to the understanding of continuous dynamic system simulation.

3.9 VisSim General Description VisSim is an advanced, easy to use, object-
oriented general purpose simulation language, originally designed for use with
MS Windows. As we pointed out before (Karayanakis, 1993), a tactical advantage
of VisSim (and other similar languages) emerges from its creation as a PC-based
product rather than as a conversion from mainframe software. In this context,
VisSim is a cutting-edge, powerful block diagram language with an outstanding
schematic ...

Integrating ERP, CRM, Supply Chain Management, and Smart Materials

Organizations enjoy two kinds of strategic advantages. One is transitory: being in the right place with the right products at the right time. The other comes from having first class management and instituting processes that mobilize an organization, keeping in ahead of the competition. Which would you like to count on for your organization's success? Integrating ERP, CRM, Supply Chain Management, and Smart Materials explores how to create business opportunities and reap savings by: Restructuring and updating of ERP and CRM software as it integrates supply chain management and delivers new killer applications Evolving opportunities that will develop from the implementation of smart materials, automatic identification, classification systems, and quality assurance projects Auditing the implementation, operation, and maintenance of ERP and CRM software as well as the corrective action taken on the basis of results Internet commerce, online supply chain, and advances in technology - all available at increasingly lower costs - make systems of the past obsolete. However, just as new technology creates new opportunities, it can also create unforeseen consequences. By binding a wealth of interdependent issues between the covers of one book, Integrating ERP, CRM, Supply Chain Management, and Smart Materials gives you the tools you need to create proprietary, high value-added solutions.

In commercial banking, core functions are accepting customer deposits, making
loans to customers, proceeding with credit and actuarial assessments, managing
the bank's own investments, underwriting financial issues, developing and
managing new products, and trading in securities. Information technology (IT)
solutions should help all of these channels in an able manner, both individually
and in the aggregate. Therefore, the implementation of IT should be rigorously
audited to ...

UML for Developing Knowledge Management Systems

UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization. It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS). This volume enables knowledge engineers, systems analysts, designers, developers, and researchers to understand the concept of knowledge modeling with Unified Modeling Language (UML). It offers a guide to quantifying, qualifying, understanding, and modeling knowledge by providing a reusable framework that can be adopted for KMS implementation. Following a brief history of knowledge management, the book discusses knowledge acquisition and the types of knowledge that can be discovered within a domain. It offers an overview of types of models and the concepts behind them. It then reviews UML and how to apply UML to model knowledge. The book concludes by defining and applying the Knowledge Acquisition framework via a real-world case study.

This volume enables knowledge engineers, systems analysts, designers, developers, and researchers to understand the concept of knowledge modeling with Unified Modeling Language (UML).