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Deepwater Horizon

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Structural Health Monitoring & Damage Detection 2017: Volume 7

RRP $354.99

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Structural Health Monitoring & Damage Detection, Volume 7: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring & Damage Detection, including papers on: Structural Health Monitoring Damage Detection System Identification Active Controls


Sensor Technology For Water Quality Monitoring

RRP $54.95

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Two methods for the detection of important human pathogens, Cryptosporidium parvum and Helicobacter pylori, were investigated: a fiber optic biosensor, and real time PCR. The mechanism for specific detection in both methods is recognition of specific DNA sequences in the target organisms. The biosensor that was used, the Analyte 2000, was originally developed for the detection of chemicals. It utilizes a fiber optic wave guide that propagates an evanescent light wave of very specific wavelength. The light excites fluorescent molecules bound to the waveguide, but not in the bulk solution, which theoretically enhances signal while reducing background interference. Attempts to develop this system for the detection of DNA were not successful due to poor detection of the target molecules. An assay analogous to a sandwich immunoassay was designed for use on the Analyte 2000. Specific oligonucleotide probes were designed to bind to the waveguides via biotin-streptavidin interaction, and were used to capture the target DNA. Pure target DNA representing unique genes in the organisms were synthesized by PCR. Detection of captured DNA was then attempted using an oligonucleotide detection probe designed to bind to the target. Two detection systems were employed: an indirect signal amplification system based on biotin-tyramide deposition, or direct detection of fluorescent signal from Cy-5 molecules. In all experiments performed there was very little difference between the signal generated with or without the target molecules. Many experiments were conducted to attempt to identify reasons for the poor signal. Signal was only of any significance when target amplicons were internally labeled with Cy-5 by PCR. Real time PCR as a method to detect the pathogens was also investigated. Though the PCR technique itself is very rapid, DNA extraction and purification requires preparation time. Filtration of up to one liter of well water, followed by concentration and "cleaning" Helicobacter pylori cells by immunomagnetic separation, was used to detect H. pylori seeded in a water source. Following cell lysis, the extracted DNA could be used directly in conventional PCR targeting the 16S rRNA gene to detect less than 265 cells per liter of water. DNA purification was not required for this level of detection. Initial studies to amplify lysed cells by real time PCR indicated that an incorrect product was made. When purified DNA was used for real time PCR, the correct product was produced from DNA representing as few as 100 cells. This publication can be purchased and downloaded via Pay Per View on Water Intelligence Online - click on the Pay Per View icon below


Statistical Process Monitoring And Optimization

RRP $565.99

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Presenting the science of statistical process control (SPC) and the related concepts of total quality management (TQM) and design of experiments (DOE), this remarkable reference demonstrates ways to track industrial processes and performance -- integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. Written by more than 25 renowned researchers with broad experience with on-the-job problem solving, Statistical Process Monitoring and Optimization showcases concepts such as "people-based management" and continuous improvement...examines leadership styles in European, American, and Asian companies...describes means of quantifying factors such as employee loyalty and customer satisfaction and their relation to profitability...explores multivariate diagnosis theory in application to multioperational and multi-index systems...assesses uses of Markov chains in relation to ARL and associated sampling distributions...explains statistical models for dynamic systems, change-point analysis, generalized linear models, and key algorithms...elucidates replication strategies and process capability...reviews the interplay of intraorganizational domains such as finance, marketing, resource allocation, software engineering, and strategic planning...and more. Containing over 1000 references, drawings, tables, and equations, Statistical Process Monitoring and Optimization is a must-read resource for applied statisticians; industrial, quality control, and management science engineers; and upper-level undergraduate and graduate students in these disciplines. Book jacket.



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Oil Spill Environment Dispersant Ecological
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Deepwater Horizon