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Nanoscale machines symbiotically existing inside living cells and participating in their biochemistry Carbon-based nanostructures with vefold symmetry; nanotube caps (but also available as freestanding structures) Nanocones form due to defects in graphene sheets Aggregates 100 to 10,000 atoms that combine into a crystalline form of matter measuring 10 nm in diameter Nanocrystals (aka nanoscale semiconductor crystals) are larger than molecules but smaller than solids; they exhibit chemical and physical properties that are a hybrid between those of molecules and solids Nanocrystals are also known as quantum dots nanocrystals (QDNs) At the commercial level, these nanoparticles are high-precision nanoscale semiconductors that can be engineered to meet the needs for new uorescent or photonic materials in biotechnology, optical transistors and switches, optical computing, photovoltaics, light-emitting diodes (LED), and lasers [104] Very thin layer coating to support improved digital memory storage (eg.

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, TB range for tape and GB range for oppy diskettes) Nanoscale electronic systems; includes molecular electronics and nanoscale devices and semiconductor devices Nanoscale electromechanical devices; comparable to MEMSs but at the reduced physical dimensions..

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Field propagation in inhomogeneous media is not described by the Fresnel transform. We are particularly interested in situations where the object eld propagates through an intermediate medium prior to the imaging system aperture. Of course, the greatest bene t from an imaging perspective is derived if the intermediate medium happens to be a large-aperture lens, but bene ts may be derived from less structured media. Various studies have suggested, for example, that propagation through atmospheric turbulence might be used to increase imaging system bandwidth and enable superresolution [44,90,257,261]. The greatest bene t might be expected in cases where the atmosphere acts as a graded-index material or waveguide, as might be expected for observations across a surface, but some bene t may be expected from observations through random uctuations. Figure 10.22 illustrates a simple model of inhomogeneous propagation due to a thin disturbance layer. The effect is similar to modulating the object plane as in Fig. 10.18, although the increase in bandpass decreases as the modulation moves from the object plane to the pupil plane. Diffraction through inhomogeneous or turbulent media is often modeled using a random phase transmittance in an intermediate plane [67,256]. We take an unusual approach here in assuming that the intermediate transmittance is deterministically characterized. Assuming a 1D incoherent imaging system for simplicity, the cross-spectral density at the phase distortion is W(Dx, n) ^ Dx=l, n). The cross-spectral density at the imaging system aperS(u ture is then 0 0 ^ u x1 x2 , n t (x0 )t(x0 ) S W(x1 , x2 , n) 1 2 l (x1 x01 )2 (x2 x02 )2 dx01 dx02 exp ip ld

FIGURE 4.26 Measured and calculated return loss for the feed position at (x B , y A ) (point C); antenna parameters are the same as in Figure 4.25. (From Ref. 14, C 1996 John Wiley & Sons, Inc.)

48 Armishaw, P (2003), Estimating measurement uncertainty in an afternoon A case study in the practical application of measurement uncertainty, Accred Qual Assur, 8, 218 242 49 Horwitz, W (1982), Evaluation of analytical methods used for regulation of food and drugs, Anal Chem, 54, 67A 76A 50 Thompson, M, and Lowthian, P J (1997), The Horwitz function revisited, J AOAC Int, 80, 676 679 51 King, B (2001), Meeting the measurement uncertainty and traceability requirements of ISO/IEC standard 17025 in chemical analysis, Fresen J Anal Chem, 371, 714 52 Mueller-Harvey, I (2003), Do we need quality assurance and quality control of analytical measurements in R&D laboratories Food Agric Environ, 1, 9 11 53 R sslein, M (2000), Evaluation of uncertainty utilising the component by component approach, Accred Qual Assur, 5, 88 94 54 Mueller, N.

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