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big id(ID), class(NMTOKENS), title(CDATA), style(CDATA), xml:lang(NMTOKEN) ( PCDATA | br | span | em | strong | dfn | code | samp | kbd | var | cite | abbr | acronym | q | i | b | big | small | u | a | wml:anchor | wml:do | img | object | wml:getvar | input | select | textarea | label )* blockquote id(ID), class(NMTOKENS), title(CDATA), style(CDATA), xml:lang (NMTOKEN), cite(CDATA) ( h1 | h2 | h3 | h4 | h5 | h6 | ul | ol | dl | p | div | pre | blockquote | address | hr | table | form | eldset | wml:do )+ bodyid(ID), class(NMTOKENS), title(CDATA), style(CDATA), xml:lang(NMTOKEN), wml:newcontext( true | false ), wml:onenterforward(CDATA), wml:onenterbackward(CDATA), wml:ontimer(CDATA) ( wml:onevent*, wml:timer , ( h1 | h2 | h3 | h4 | h5 | h6 | ul | ol | dl | p | div | pre | blockquote | address | hr | table | form | eldset | wml:do )+) br id(ID), class(NMTOKENS), title(CDATA), style(CDATA) EMPTY caption id(ID), class(NMTOKENS), title(CDATA), style(CDATA), xml:lang(NMTOKEN) ( PCDATA | br |

The code is shown in Listing 5.7. It basically uses component instantiation to realize the block diagram.

Create view states in the main application Modify a state s contents Create view states within components Work with components with default view states

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safety with crash avoidance and passive safety with crashworthiness, in truth, they are actually apples and oranges-but both important The idea of personal safety includes foolproof systems that help protect against vehicle theft, forcible entry, theft of personal property, and personal threats Necessary to the effective development of all the first two safety features is information about what exactly happens during a crash, both in order to keep occupants safe during one, and more importantly, to prevent them from occuring in the first place Motor vehicles have markedly transitioned from machines with mechanical controls to highly technological vehicles with integrated electronic systems and sensors Modern automobiles generate, analyze, and utilize electronic data to improve vehicle performance, safety, security, comfort, and emissions.

It is completely possible to generate the kind of crash information that is critical to understanding what causes a crash, the physical motions of a vehicle s occupants, and vehicle performance both during a crash and during the post-crash events Manufacturers, engineers, policy makers, researchers, and others rely on crash information to improve vehicle design, shape regulatory policy, develop injury criteria, detect vehicle defects, and resolve investigations and litigation Capturing the data surrounding a crash on a motor vehicle event data recorder (MVEDR) makes important information readily available for medical responders, crash investigators and researchers The degree of social benefit from MVEDRs is directly related to the number of vehicles operating with an MVEDR and the ability to retrieve and utilize the data It doesn t help to have only a few cars outfitted with the device, or to have different devices installed in different vehicles.

because this is the only area of the PivotTable report that maintains its conditional format logic as the PivotTable shape changes.

FIGURE 4-19

Having standardized data definitions and formats allows for the useful capture of vehicle crash information It has been my privilege to participate in every major MVEDR initiative (60+ meetings) since 1997 and to meet and work with a wide range of professionals from government, industry, and academia The tremendous amount of research and development achieved over the past seven years demonstrates that there is no technical impediment to making black box technology the standard in all automobiles The reason why this kind of technology must be standard on all vehicles is simply this: Motor Vehicle black boxes speak for the victims They tell the truth in a way that nothing or no one else can..

weight limit is low and for a long time has been seen to be a major blockage to progress in the biomolecular NMR characterisation of protein structure. However, there is now hope for the future! The partial or full replacement of 1 H with 2 H nuclei has been found to result in both longer T2 values and a reduction in coherence transfer involving 13 C nuclei. Simpler, easier to interpret, spectra are the result. Furthermore, a new class of experiment has been invented, known as transverse-relaxation-optimised spectroscopy (TROSY). TROSY experiments involve the suppression of transverse relaxation by interference in the processes of dipole dipole coupling and spin spin coupling through chemical shift anisotropy (CSA), hence arti cially increasing T2 values, thereby rendering previously undetectable peaks observable. Using these new techniques, structural data for even very large proteins (>100 kDa) is now coming within reach of the biological NMR spectroscopist!

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