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combinations within the study. The implementation of this matrixing design is shown in Table 12. All factor combinations are tested at times 0, 12, and 36 months, and just 18 factor combinations at the remaining times. For this matrixing design, the number of samples needed for the whole study is 3 27 + 18 5, or 171, while 216 samples were needed for the full 3k design. Matrixing in Factors and Time Points Matrixing in both factors and time points is a combination of the two previously mentioned matrixing designs and the schedule is shown in Table 13. In this matrixing design, all factor combinations are tested at times 0, 12, and 36 and fractional factorial at the remaining times. The total number of experiments to be conducted in this stability study is 3 27 + 5 12, or 141, while 216 samples were required for the full 3k design.



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(4.146)

1. Test if the chosen conditions for convergence are met. If not, go to 2. Otherwise stop and take t, as solution.





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Service control and performance in the multiradio environment is essential with the stepby-step roll-out of a new radio access technology like WCDMA on top of GSM. The new WCDMA network infrastructure adds new capacity and service capabilities while the existing GSM network serves as a coverage extension where WCDMA coverage has not yet been built. During the co-existence of multiple radio access technologies, dynamic load balancing between the di erent access networks enables e cient usage of invested infrastructure and spectrum. Furthermore, with the gradual penetration of dual-mode GSM/WCDMA handsets and subsequent replacement of single-mode GSM handsets in the market, load balancing becomes an economical necessity for deployment of multiradio networks. According to the forecast, half of the mobiles in Western Europe will be dual-mode capable by 2008 (see Figure 5.31). In moving users between di erent access technologies, in order to provide the service application performance levels necessary for satisfactory QoE, the network must take into account QoS constraints. Thus, in the following we will further elaborate service control and performance aspects in GSM/WCDMA networks. It is clear that the following discussion a ects only dual-mode terminals. Single-mode GSM terminals are agnostic to the newer WCDMA network.

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PersonId is a foreign key constraint referring to the Persons table, so it is completely constrained. The Notes eld is completely unconstrained and optional.

where the indices 7 and V stand for the inviscid and viscous fluxes, respectively. U = (p, p v, e)T is the unknown solution vector; E, F, and G are the fluxes that contain the inviscid and viscous terms; , r;, and are the curvilinear co-ordinates; J is the Jacobian of the grid transformation from Cartesian to curvilinear co-ordinates, and H contains source terms arising from external forces, turbulence modelling, chemical reactions etc. When no physical diffusion effects are considered, such as viscosity, thermal conduction or molecular diffusion, the fluxes with the subscript V can be dropped thus obtaining the Euler equations. 1.2.2 Monotonicity, conservation, and bounded total variation The numerical solution of the Euler and Navier-Stokes equations requires careful discretization of the spatial and time derivatives. It is broadly accepted that the numerical accuracy is mainly affected by the discretization of the advective terms (inviscid fluxes in (5)). There are a number of different methods that can be utilized to discretize these terms but regardless of their details, the accuracy is dependent on four fundamental numerical properties: (i) (ii) (iii) (iv) Monotonicity; Total Variation Diminishing (TVD); Conservation; and Entropy condition.

Return Loss (dB)

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fatty change consistent with NAFLD from cirrhosis or other hepatic pathologies. Currently available imaging modalities cannot differentiate patients with simple steatosis from those with NASH and brosis (Saadeh et al., 2002), although newer imaging techniques (e.g. measurements of liver stiffness) may eventually prove effective. A key issue in investigating patients with suspected NAFLD is to determine whether a liver biopsy is warranted. This can be justi ed either to establish the diagnosis of NAFLD or to stage the disease in order to inform prognosis and guide the management of patients with advanced or progressive liver damage. Cases should be carefully selected, because the large number of potential patients makes it impractical to perform liver biopsy in all. In a patient with abnormal LFTs who has classical risk factors for NAFLD (obesity, especially with type 2 diabetes) and ultrasound liver scan steatosis, NAFLD can be diagnosed with relative con dence without a liver biopsy

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