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Single event frequency factor

A single event frequency factor A that does not depend upon the structure of the reactant and activated complex and is unique for a given type of elementary step can be defined as... [Pg.93]

Hence, the frequency factor of an elementary step, >1, is a multiple of that of a structure independent single event frequency factor, A. [Pg.94]

Whereas the single event concept accounts for the effect of the structure on the frequency factor of an elementary step the linear free energy type relationship of... [Pg.94]

There are a variety of ways to express absolute QRA results. Absolute frequency results are estimates of the statistical likelihood of an accident occurring. Table 3 contains examples of typical statements of absolute frequency estimates. These estimates for complex system failures are usually synthesized using basic equipment failure and operator error data. Depending upon the availability, specificity, and quality of failure data, the estimates may have considerable statistical uncertainty (e.g., factors of 10 or more because of uncertainties in the input data alone). When reporting single-point estimates or best estimates of the expected frequency of rare events (i.e., events not expected to occur within the operating life of a plant), analysts sometimes provide a measure of the sensitivity of the results arising from data uncertainties. [Pg.14]

Figure 37-7. Transcription elements and binding factors in the herpes simplex virus thymidine kinase ffW gene. DNA-dependent RNA polymerase II binds to the region of the TATA box (which is bound by transcription factor TEND) to form a multicomponent preinitiation complex capable of initiating transcription at a single nucleotide (+1).The frequency of this event is increased by the presence of upstream c/s-acting elements (the GC and CAAT boxes). These elements bind frans-acting transcription factors, in this example Spl and CTF (also called C/EBP, NF1, NFY). These cis elements can function independently of orientation (arrows). Figure 37-7. Transcription elements and binding factors in the herpes simplex virus thymidine kinase ffW gene. DNA-dependent RNA polymerase II binds to the region of the TATA box (which is bound by transcription factor TEND) to form a multicomponent preinitiation complex capable of initiating transcription at a single nucleotide (+1).The frequency of this event is increased by the presence of upstream c/s-acting elements (the GC and CAAT boxes). These elements bind frans-acting transcription factors, in this example Spl and CTF (also called C/EBP, NF1, NFY). These cis elements can function independently of orientation (arrows).
Because the irradiating laser beam is pulsed, MALDI is optimally combined with a TOP mass analyzer. The unlimited mass range of TOP and its ability to acquire the entire spectrum from a single laser pulse event are other factors in favor of the MALDI/TOF-MS combination. MALDI-TOF has become a well-known acronym for many researchers. Quadrupole, ion trap, and Fourier transform ion cyclotron resonance (FT-ICR) instruments have also been modified to accommodate MALDI. A schematic diagram of MALDI/TOF-MS is presented in Figure 2.10. A variety of laser systems has found applications in MALDI analysis, and the most common ones use LTV lasers such as the N2 laser (337 nm), the frequency-tripled (355 nm) and frequency-quadrupled (266 nm) Nd YAG laser, and the ArF excimer laser (193 nm). IR lasers have also been used to produce the MALDI effect. The transversely excited atmospheric (TEA) CO2 laser (10.6 p,m), the Q-switched Er YAG laser (2.94 (im), and the CriLiSAF or Nd YAG pumped optical parametric oscillator (OPO) laser (3.28 p,m) are the common IR lasers. UV and IR lasers yield similar spectra for proteins, although better resolution has been obtained for some proteins with an IR laser. [Pg.37]

A highly variable percentage range of complications and adverse incidents demonstrates that there are certain limitations for IVC filters. But the major limitation is that there has been no single prospective study to evaluate the clinical performance of the different designs. So there is no baseline for comparison. The frequency of adverse events is influenced by many factors, such as the style of filter, design, material, site of deployment, access approach and patient anatomy, pathology, and disease state. [Pg.733]


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See also in sourсe #XX -- [ Pg.93 , Pg.290 ]




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