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Conduction Electrons We may mathematically treat the concentration of electrons at the Fermi level in conductors, semiconductors, or dielectrics as if they have no restoring forces and drag forces only in the sense that they have a drift velocity that is the statistical average of electrons moving at the Fermi velocity between collisions with impurities or phonons. The electric permittivity that results from this treatment has no frequency resonance, a relatively constant real part, and a complex part that behaves like 1. We may not, however, scale this permittivity dependence to = 0 (DC) because it was a mathematical ction created by multiplying and dividing by ; that is, the product is not singular at = 0. Permanent Dipoles in Thermal Equilibrium At frequencies between 100 and 1012 Hz, external electric eld intensity can partially align molecules with permanent electric dipoles so that they macroscopically produce a polarization that is proportional to the amount of each species, Ni, in the medium. In a solid form, the dipoles have a strong restoring force and a modest relaxation force; in a liquid form, the molecules experience a modest restoring force; and at modest relaxation force, and in a vapor state, free molecules will experience relatively little restoring or relaxation forces (in this special case, their resonant frequencies will depend on the external eld intensity and the moment of inertia of the permanent dipole). Induced Dipole Moments At frequencies between 109 and 1014 Hz, external electric eld intensity can cause molecules to bend, rotate, or vibrate. In the case of molecules that are bound to a solid material, there will be a large restoring force and moderate relaxation or drag forces; that is, the frequency of an induced molecular resonance will be a function of the spring constants



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Sodium is packaged in a variety of ways and often appears as a large ingot, caked with NaOH from reaction with moisture in the atmosphere. Immediately upon opening the packaging, the sodium should be placed under mineral oil or a high-boiling hydrocarbon solvent like xylene to protect it from the atmosphere. The ductile metal is cut into small chunks (maximum 2 cm square) with a knife or spatula while under the mineral oil. The metal is transferred with forceps to a container of toluene, which is used to remove the oil, and then to a container of the solvent, which is used to remove the toluene. Small pieces of sodium are added to the cooled ammonia. Sodium reacts with any water present to form sodium hydroxide (eq. 16). Once all the water has been consumed, addition of more sodium will result in the formation of the unmistakable blue solution of solvated electrons (eq. 17). The stoichiometric quantity of sodium needed for the reaction can now be added. Alternatively, if the reaction in question requires that no hydroxide be present (e.g., a reductive alkylation of an enone; eq. 18), the ammonia can rst be condensed into a cooled ask to which sodium is added until the blue color persists. This ask is then connected to the gas inlet of the dry ice condenser and anhydrous ammonia is distilled into the reaction apparatus by slightly and carefully warming the ask with a water bath. Another approach to obtaining anhydrous ammonia is to pass it through two drying towers containing KOH and CaO before being condensed into the apparatus.





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Another example is a policy for Flow-based Charging that could say: IF (packet_destined_to_DNS) THEN (do_not_meter) Policies can be attached with a priority. In this way it is possible to express a general policy which is always applicable, and to handle exceptions to the general policy by adding subpolicies with a higher priority. For example, generally, the volume of all ows should be metered. However, if a ow relates to signalling, then it will not be metered at all. For applying policies, a policy language must be de ned that is suf ciently powerful to describe the conditions and actions for the scenario in question. Policy languages in use range today from quite simple, e.g. when they are applied in limited environments such as Flow-based Charging, to highly complex, so that their usage requires a full-blown expert system.

The total time spent in the system, in queue and in service, is T =Y + Y 2 . 2(1 )

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In the classical site location (or site selection) problem formulation, a set of potential site candidates is given A subset of these potential sites has to be selected The operation of each site is expensive, so cost plays a decisive role Depending on the situation, the number of sites needs to be minimised under quality constraints (eg a certain amount of coverage), or a certain budget (cost constraint) is given and the task is to achieve maximum quality In practice, site location problems appear at different stages of the network design If an operator already runs a 2G network and wants to deploy a 3G network in the same area, sites will be reused In addition, the operator might need to deploy new site locations This creates a set of potential locations which can be used for the 3G network.

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