... the head and neck N Engl J Med 20 01, 344:1 125 -1131 Syrjanen S: Human papillomavirus infections and oral tumours Med Microbiol Immunol 20 03, 1 92: 123 - 128 Gillison ML: Human papillomavirus and prognosis ... papillomavirus and a subset of head and neck cancers J Natl Cancer Inst 20 00, 92: 709- 720 12 Gillison ML, Lowy DR: A causal role for human papillomavirus in head and neck cancer Lancet 20 04, 363:1488-1489 ... Natl Cancer Inst 20 09, 101:4 12- 423 25 Wang SS, Hildesheim A: Viral and host factors in human papillomavirus persistence and progression J Natl Cancer Inst Monogr 20 03, 31:35-40 26 Weinberger PM,...
... popular tools that employ formal and semi-formal verification methods 15.3 .2 Equivalence Checking After logic synthesis and place and route tools create gate level netlist and physical implementations ... both the RTL and gate level representations of the design and mathematically prove that they are functionally equivalent Thus, functional verification can focus entirely on RTL and there is little ... possible behavior and will wrongly report the design as "proven." Figure 15-8 shows the verification flow with a formal verification tool In the best case, the tool either proves a particular assertion...
... moduli λ and μ and coefficients of shear and volume viscosities are expressed as μ=μ− 2 b2 b ( a1γ − aγ ) b2 b2 , λ = λ + a − a b1 − b2 ( aγ − a γ ) , η = γ a , 2 a2 2 (39) ... equations of items 2. 9.1 and2. 9 .2 confirm that the normalized turbulent fluxes are expressed as functions of n and only, while the covariances may be expressed as functions of n, , and22. 10 Transforming ... 2 20 Hydrodynamics – Advanced Topics 2 D f n n n n 2 f 2 n z2 1 1 1 (1 n) f n f 2 ...
... moduli λ and μ and coefficients of shear and volume viscosities are expressed as μ=μ− 2 b2 b ( a1γ − aγ ) b2 b2 , λ = λ + a − a b1 − b2 ( aγ − a γ ) , η = γ a , 2 a2 2 (39) ... equations of items 2. 9.1 and2. 9 .2 confirm that the normalized turbulent fluxes are expressed as functions of n and only, while the covariances may be expressed as functions of n, , and22. 10 Transforming ... 2 20 Hydrodynamics – Advanced Topics 2 D f n n n n 2 f 2 n z2 1 1 1 (1 n) f n f 2 ...
... by Age Adjusted SI by Age 22 20 20 18 18 SI for Standard Pulse Rate 22 16 SI 14 12 10 16 14 12 10 2 20 40 60 80 100 20 Age Age vs SI Plot Regr 40 60 80 100 Age Age vs Standard SI Plot Regr Fig ... Audiology, Vol 20 , pp 181 -21 1 Ebata, M (20 03) Spatial unmasking and attention related to the cocktail party problem Acoust Sci and Tech , Vol 24 , pp 20 8 -21 9 Egan, J., Carterette, E., and Thwing, ... Normalization shift (dB) [ -20 -15 -10 -5 5] -3 [ -20 -15 -10 -5 5] -5 0. 12 m [ -20 -15 -10 -5 5] -8 1m [ -20 -15 -10 -5 5] 0 .25 m [ -20 -15 -10 -5 5] +3 0. 12 m Lateral target 1m 0 .25 m [ -20 -15 -10 -5 5] +6...
... Control Systems Technology 12( 2): 23 5 -24 9 Vandenberghe, L (20 10) The CVXOPT linear and quadratic cone program solvers working manuscript Vandenberghe, L & Boyd S (20 04) Convex Optimization, Cambridge ... 599- 623 (20 00) Abonyi, J and Babuska.R and Abotto M and Szeifert F and Nagy L Identification and control of nonlinear systems using fuzzy Hammerstein models, Ind.Eng.Chem.Res, 39 43 02- 4314. (20 00) ... Vehicles 27 25 Ling, K.V.; Wu, B.F & Maciejowski, J.M (20 08) Embedded model predictive control (MPC) using a FPGA, Proc 17th IFAC World Congress, pp 1 525 0-1 525 5 Maciejowski, J.M (20 02) Predictive...
... s11 s 12 V1 V1 (51) − = s + s 22 V2 V2 21 − − According to the above matrix, the V1 and V2 can be written into Equation 52 − + + V1 = s11 V1 + s 12 V2 (52a) − V2 (52b) = + s21 V1 + + s 22 V2 − + ... 44 − |V+ + V0 |2 Rchip |V+ |2 |1 + s L |2 Rchip V |I0 |2 Rchip = | |2 Rchip = = 2 Zchip 2| Zchip |2 2| Zchip |2 (44) As mentioned before, the transmission line between the chip and the tag antenna ... Equation 45 and Equation 49 into Equation 52, solving for V1 /V1 and − /V+ gives V2 − V1 s 12 s21 s L (53) + = Γrant = s11 − s s − V1 22 L 21 Operating Range Evaluation of RFID Systems − V2 + V1 Hence,...
... Mixing and Transport Comb-Like and Random Jet Jet Array Stirring Systems Controlled Mixing and Transport in in Comb-Like and Random Array Stirring Systems S (mm) σCu 10 13. 32 14 8.87 49 24 3.73 ... Comb-Like and Random Jet Jet Array Stirring Systems Controlled Mixing and Transport in in Comb-Like and Random Array Stirring Systems 17 59 Datta, M & Landolt, D (20 00) Fundamental aspects and applications ... Controlled Mixing and Transport in Comb-Like and Random Jet Array Stirring Systems S Delbos1 , E Chassaing1 , P P Grand2 , V Weitbrecht3 and T Bleninger4 Institute for Research and Development...
... 1) 2 , Lμ, Lμ; 2Lμ + 1; , 2 + At2 + Bt2 (18) whereas (17) is reduced to: uvMγ ( u +v ) u2 + Au2 ( 3) F , , 1, 1, Lμ, Lμ; 2Lμ + ; 2 u + v2 + Au2 + Av2 2 (u2 + v2 )(4Lμ + 1) D Kiid (u, v) = 2 + ... L u2 + A L u2 u2 , ,··· , ,··· , u + v2 + A u + A v2 + A L u2 + A L v2 + B1 u2 + B1 v2 + B L u + B L v2 (17) For i.i.d branches (16) reduces to: Γ (2Lμ + 1 /2) Jiid (t) = √ Mγ (t2 /2) F1 πΓ (2Lμ ... obtained, as: K asym (u, v) = 2d 2 Cuv π ( u + v2 ) d + 1 (1 − x )d−1 /2 − u2 x u + v2 − d −1 dx 2d−1 Cuv u2 = F1 1, d + 1; d + ; 2 u + v2 π (u2 + v2 )d+1 (2d + 1) (26 ) Fig Average Symbol Error...