19,260 research outputs found

    The Revenue and Cost of the Airline Company

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    The airline industry is characterized by a number of business models with the most prominent being the Full Service Network Carriers (FSNC) and Low Cost Carriers (LCC) models. The main difference between full service network carriers and low cost carriers is how the airline companies operation their revenue and cost.The advanced developments in telecommunications, air pollutions and the competition of high rail are three new challenges for the airline industry globally while an increasing passengers and the government policies are two big issues for Asia/Pacific regional airline companies. The fuel price and human-related costs are two big issues affecting the company’s cost. Code-sharing and advertising are two possibly ways in increasing company’s revenue, cutting down the fuel cost, advertising costs, controlling the human cost and cooperating with airports are four possibly ways in reducing company’s cost

    Spectral lag of gamma-ray burst caused by the intrinsic spectral evolution and the curvature effect

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    Assuming an intrinsic `Band' shape spectrum and an intrinsic energy-independent emission profile we have investigated the connection between the evolution of the rest-frame spectral parameters and the spectral lags measured in gamma-ray burst (GRB) pulses by using a pulse model. We first focus our attention on the evolution of the peak energy, E0,pE_{0,p}, and neglect the effect of the curvature effect. It is found that the evolution of E0,pE_{0,p} alone can produce the observed lags. When E0,pE_{0,p} varies from hard to soft only the positive lags can be observed. The negative lags would occur in the case of E0,pE_{0,p} varying from soft to hard. When the evolution of E0,pE_{0,p} and the low-energy spectral index α0\alpha_{0} varying from soft to hard then to soft we can find the aforesaid two sorts of lags. We then examine the combined case of the spectral evolution and the curvature effect of fireball and find the observed spectral lags would increase. A sample including 15 single pulses whose spectral evolution follows hard to soft has been investigated. All the lags of these pulses are positive, which is in good agreement with our theoretical predictions. Our analysis shows that only the intrinsic spectral evolution can produce the spectral lags and the observed lags should be contributed by the intrinsic spectral evolution and the curvature effect. But it is still unclear what cause the spectral evolution.Comment: 10 pages, 7 figure
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