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Procedure and software for estimating bridge life cycle costs, 2002. Published as NCHRP Report 483. Methodology for considering redundancy in highway bridge substructures. Published as NCHRP Report 458. Procedure for validating bridge design and rating software, 2002. Published as NCHRP Report 485. Design Speci cations and Details for steel bridge integral connections with substructures, 2004. Published as NCHRP Report 527. Rational design and construction guidelines for geosynthetic reinforced soil bridge abutments and approaches with exible facing elements, December 2004. Published as NCHRP Report 556.
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Because T of Test now has the struct constraint, T can be bound only to value type arguments. This means that Test<MyStruct> and Test<int> are valid, but Test<MyClass> is not. To prove this, try removing the comment symbols from the start of the last line in the program and recompiling. An error will be reported.
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Early on, facial recognition vendors teamed up with established private investigative and consulting firms that already had a solid gaming industry client base. This synergy helped to crack the casino market. For example, Viisage/ Biometrica, a provider of facial recognition systems, worked with CVI LLC, a company that publishes the Casino Information Database, used by many casinos. Visionics, another provider, works with the Griffin G.O.L.D. casino security database system, which is an established source of intelligence within the gaming community. These strategic alliances helped make facial recognition acceptable among casino security officials, and gave the casinos the confidence to try facial recognition. The investigative firms already had the databases from which the facial recognition systems could be populated after all, you have to be able to match a face to faces of bad guys. Bad guys for casinos include any number of (male and female) undesirables, such as blatant cheaters, card counters, pick pockets, and many others. In exchange, the facial recognition system provided the investigative firms with a means to further automate their databases.
Part I:
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Transformative Paradoxical Challenges Most Eights like paradoxical challenges because they understand complexity, systems, and root cause analyses. Because they are highly instinctual and understand something best when they experience it directly, it is especially important to use the paradoxical challenge only after Eight learners have realized that they may be their own greatest obstacle to success. After the developer states the paradox, it is essential to allow Eights time to think it through in silence. They may ask questions or make comments, but Eights are most likely to say something simple and direct, such as asking, So what should I do about this The best answer is to say, Acknowledging it is the first step.
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Table 12.3 Comparison of river training measures. Countermeasure S. No. Type 1 Retard (earth, timber and steel sheet piles) Scour Type Local scour, Meandering stream or shifting of thalweg Description Permeable or impermeable structure parallel to banks, to reduce ow velocity and induce deposition. Channel modi cations to increase ow capacity and sediment transport, including dredging, channel clearing. Advantages Suitable for maintaining channel alignment. Induce deposition. Disadvantages Minimum disadvantages since piles are buried below river bed. Expensive Remarks Recommended for high ood velocities.
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