Figure 9. In respect to the Class C passing-beam, the Class W passing-beam both with bending modes and a driving-beam, and designed for right-hand traffic only. The passing-beam and its modes shall not be operated simultaneously with the driving-beam in and/or another reciprocally incorporated headlamp.
Figure 9. A general sketch of the ITD cart. ***CONFIDENTIAL TREATMENT REQUESTED
Figure 9. XRD analyses are correlated with the imaging techniques SEM/EDS. Deterioration of the wool structure increase by chemical breakdown of disulfide bridges within structural units of the first layer and the exocuticle and matrix of the cortex.
Examples of Figure 9 in a sentence
We provide below a reconciliation of Free Cash Flow to the most directly comparable amount reported under U.S. GAAP, which is “net cash provided by operating activities.” Figure 9.
This drill hole intersected, at a relatively high level, a potassic-altered zone 40 to 50 meters across including a 30-meter wide sericitized central core that contains a 2.4 meter thickness of interesting copper and higher grade molybdenum mineralization (0.49% Cu and 0.63% Mo) and some mixed oxide-and sulfide copper mineralization (Plate 1, Figure 9).
The Heaven Lake claim group consists of 88 contiguous 16‐unit claims on Crown Lands (1408 units), encompassing an area of 22,528 ha and owned 100% by PFN.The Heaven Lake Property lies near the boundary of the Archean Superior Province to the west and the Mesoproterozoic Nipigon Embayment to the east (Figure 9).
There are serious long-term consequences to exposure to gluten in patients with celiac disease, including the risk of developing osteoporosis, stomach, esophageal, or colon cancer, and T cell lymphoma (Green 2003, Green 2007) (Figure 9).
Figure 9- Location of the Heaven Lake Property, northwestern Ontario 5.4. GLITTER LAKE, QUÉBEC The Company entered into an option agreement dated 15 August 2003, and amended 30 April 2006, with CanAlaska Uranium Ltd.
More Definitions of Figure 9
Figure 9. Reducing an instance of 3-SAT with N variables xi i [N ] and m clauses Cj j [m] to an ≥ − instance of R-Subset-φA for A 3 with n = A + 2N + (A 1)m elements in R, where R = F1+N +m. Here, 0 (resp., 1) values inside the vectors refer to the 0 (resp., 1) element of F. ∈ ≥ ∈ Proof sketch of Theorem 6.9. We extend this reduction to show that R-Subset-φA for A > 1 is also NP-complete, where R is a ring of appropriate size with Hadamard product. Each of the ai (for i [n]) elements and the target value t in an instance of R-Subset-φA is an element in R and thereby a vector of elements in F. Unlike simple addition, since φA is a sum of products, if (any) kth entry in the target value is a non-zero element in F, the solution to a yes instance of R-Subset-φA must consist of at least A elements with non-zero kth entries. Therefore, depending on A, we need to define additional elements in the reduction. We give an overview of our reduction from any 3-SAT instance to R-Subset-φA for A 3; the special case of A = 2 requires a slight modification that is addressed in Appendix D.1. In a similar way to Subset-Sum, this reduction can also be adjusted to show that there exists s Θ(n), for which (s, R)-Subset-φA problem is also NP-complete, which is sketched in Appendix D.1. { } { }∈ ∈ Given a 3-SAT instance with N variables xi i [N ] and m clauses Cj j [m], define a R-Subset- − φA instance with A + 2N + (A 1)m elements, where R = F1+N +m. As shown in Figure 9, each of these elements is a vector of 1 + N + m elements in the field F and are defined as follows: • An element α0 ∈ R, whose first entry is 1. All the remaining entries in α0 correspond to 0. ∈ − ∈ • For each k [A 1], define αk R, whose first N + 1 entries correspond to 1, and the remaining entries correspond to 0. • For each i ∈ [N ], define two elements vi ∈ R and xxx ∈ R. The (1 + i)th entry of both these ∈ ¬ ∈ numbers is set to 1. If xi Cj, then the (1 + N + j)th entry of vi is set to 1, else if xi Cj, then the (1 + N + j)th entry of xxx is set to 1. All the remaining entries correspond to 0. • For each j ∈ [m] and k ∈ [A − 1], define element ck ∈ R. The (1+N +j)th entry in ck corresponds j j to 1 and the remaining entries correspond to 0. • The target element t is also a vector of 1 + N + m elements in F, with all its entries set to 1. − − ∈ ∈ − ∈ − Now, given a satisfying assignment for the 3-SAT instance, the corresponding witness for the R-Subset-φA instance includes the following: It includes α0 and each αk fo...
Figure 9. Age of units in 2013 for the EU-15 + Norway + Switzerland (Alstom, 2013) The power absorbed in pumping mode by a variable speed unit can vary by 30 %, compared to a conventional PSP unit. Thus, converting 100 MW of conventional PSP into variable speed will provide around 30 MW of regulation capability while in pumping mode. This means that if the 34.9 GW of conventional generators older than 30 years are converted into variable speed, 10.47 GW of additional frequency regulation capability in pumping mode are obtainable. Such capability would typically be used to provide frequency regulation that will be increasingly required in systems with high wind penetration.
Figure 9. Induced voltage in the primary winding versus time for a step-down transformer.
Figure 9. As is'' (left) and ''to be'' (right) 20 Figure 10: Clinical workflow (typical example) 24 Figure 11: Processing and post-processing example (Smart DTI fiber tracking) [3] 24 Figure 12: Context for the Cooling System for Transmission Plant Application (CS_UC) 26 Figure 13: The original iFEST tool platform, showing the development focus points within EMC2 28 Figure 14: Demonstrator: UC Specific Tools Framework 29 List of tables Table 1: Quantitative metrics to be used in the assessment of results, for UC12.1 12 Table 2: Abbreviations 35
Figure 9. Permeability simulation in large organic associated pores (left) and small clay associated pores (right) in Haynesville sample A: ortho slices at X, Y and Z axes B:3D volume rendering of pores with illustrated streamlines at X,Y and Z axes, C: illustrated stream lines at X,Y and Z axes, D: illustrated streamlines at X axis, E: illustrated stream lines at Y axis, F: illustrated streamlines at Z axis. 16 Figure 10: Results obtained implementing the KMC model presented here versus MD simulations for flux (left panel) and permeability (right panel). The results obtained from both methods are presented with error bars (Apostolopoulou et al., 2017). 17 Figure 11: Effect of the pore length on membrane flux (left panel) and effect of pore length on the % of flux decrease as calculated from KMC simulations (right panel). The flux obtained for the different pore lengths is reported with error bars (Apostolopoulou et al., 2017). 18 Figure 12: Permeability computation of organic matter matrix. A: estimated pore size distribution. B: an example of Monte Carlo stochastic ensemble C: different realizations of the Monte Carlo stochastic ensembles 19 Figure 13: Permeability computation of inorganic matrix. A: estimated pore size distribution. B: an example of Monte Carlo stochastic ensemble C: different realizations of the Monte Carlo stochastic ensembles 19 Figure 14: A 2D slice of Micro-CT images of B6 sample. Red- organic matter, green and blue- inorganic matrix. 20 Key word list Fluid behaviour, Pores, Permeability, Modelling, Definitions and acronyms Acronyms Definitions 3-D EM Three-Dimensional Electron Microscope FIB-SEM Focused Ion Beam Scanning Electron Microscopy KMC Kinetic Monte Carlo MD Molecular Dynamics SEM Scanning Electron Microscopy TFC Trillion Cubic Feet TOC Total Organic Carbon XCT X-ray Computed Tomography XRD X-ray Diffraction
Figure 9. The function 𝒇𝒑𝒒 for various filter wdiths The function 𝑓𝑝𝑞 can be written: 𝑓𝑝𝑞(Δ∗) = 𝑃1Δ∗2 + 𝑃2Δ∗ + 𝑃3 with 𝑃1 = −8,3, 𝑃2 = 0,75 and 𝑃3 = −0,0014 4 Nomenclature Symbols • Δ: characteristic length of cell volume • Δref: characteristic length of cell volume of the refined simulation • Δ∗ : adimensional characteristic length scale of cell volume • 〈𝑄〉: a domain averaged of quantity 𝑄 • 𝑄̅: a discrete ensemble average value of quantity Latin symbols • 𝑔0: radial distribution function • 𝑔𝑟: mean inter-particle relative velocity
Figure 9. Reducing an instance of 3-SAT with N variables xi i [N ] and m clauses Cj j [m] to an instance of R-Subset-φl for l 3 with n = l + 2N + (l 1)m elements in R, where R = F1+N +m. Here, 0 (resp., 1) values inside the vectors refer to the 0 (resp., 1) element of F. ∈ − ∈ • For each k [l 1], define αk R, whose first N + 1 entries correspond to 1, and the remaining entries correspond to 0. • For each i ∈ [N ], define two elements vi ∈ R and vi' ∈ R. The (1 + i)th entry of both these ∈ ¬ ∈ numbers is set to 1. If xi Cj, then the (1 + N + j)th entry of vi is set to 1, else if xi Cj, then the (1 + N + j)th entry of vi' is set to 1. All the remaining entries correspond to 0. • For each j ∈ [m] and k ∈ [l− 1], define element ck ∈ R. The (1+N +j)th entry in ck corresponds j j to 1 and the remaining entries correspond to 0. • The target element t is also a vector of 1 + N + m elements in F, with all its entries set to 1. Now, given a satisfying assignment for the 3-SAT instance, the corresponding witness for the − − ∈ i ∈ − ∈ − R-Subset-φl instance includes the following: It includes α0 and each αk for k [l 1]. For each i [N ], it includes vi if xi = 1, and v' if xi = 0. For each j [m], it includes any l 3 of the elements cj if all three literals in the jth clause have value 1, else if any two literals have value 1 then it includes any l 2 of the elements cj and if only one of the literals has value 1 then all the l 1 elements cj are included in the witness. This guarantees that the value 1 appears precisely l times in the column of each satisfied clause, so that φl will evaluate to the target value 1 in these positions.