In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

[Q]: a b s t r a c t H1N1 is an infectious virus which, when spread affects a large volume of the population. It is an airborne disease that spreads easily and has a high death rate. Development of healthcare support systems using cloud computing is emerging as an effective solution with the benefits of better quality of service, reduced costs and flexibility. In this paper, an effective cloud computing architecture is proposed which predicts H1N1 infected patients and provides preventions to control infection rate. It consists of four processing components along with secure cloud storage medical database. The random decision tree is used to initially assess the infection in any patient depending on his/her symptoms. Social Network Analysis (SNA) is used to present the state of the outbreak. The proposed architecture is tested on synthetic data generated for two million users. The system provided 94% accuracy for the classification and around 81% of the resource utilization on Amazon EC2 cloud. The key point of the paper is the use of SNA graphs to calculate role of an infected user in spreading the outbreak known as Outbreak Role Index (ORI). It will help government agencies and healthcare departments to present, analyze and prevent outbreak effectively.
[A]: Smart monitoring and controlling of Pandemic Influenza A (H1N1) using Social Network Analysis and cloud computing


[Q]: We performed experiments to determine the effect of PKR activation on respiratory syncytial virus (RSV) replication. We first determined that RSV infection activates PKR which induces the phosphorylation of eIF2α, resulting in the formation of host stress granules. We used RNA interference to decrease endogenous PKR levels. RSV replication was not altered in cells deficient for PKR expression. However, RSV-mediated stress granule formation was significantly reduced in PKR-knockdown cells. As an alternative method to block PKR activation, we used treatment with the kinase inhibitor 2-aminopurine (2-AP). We observed that 2-AP treatment significantly reduced viral replication. We also treated PKR-knockdown cells with 2-AP and inoculated with RSV. Under these conditions, 2-AP treatment diminished viral replication in the absence of PKR expression. These results suggest that PKR activation has a minimal effect on RSV replication and that the antiviral effect of 2-AP during RSV infection likely occurs via a PKR-independent mechanism.
[A]: Activation of protein kinase R is required for induction of stress granules by respiratory syncytial virus but dispensable for viral replication


[Q]: The objective of this paper is to quantify the development of the rural electricity market at county level and below in China. A sectorial energy demand analysis and forecasting model was developed to analyze six Chinese provinces with different economic backgrounds. Historical data for over 20 years were collected on rural economic development, households, population, per capita income, community infrastructure development, capital investment, electricity consumption, output values in agriculture sector, and township and village enterprises (TVEs). This paper concludes that by 2010, annual electricity demand will increase at a rate between À1.40% and 15.60% (depending on the sectors and provinces). It also recommends a preferred order for future rural electricity investment: Jiangsu, Hebei, Henan, Shaanxi, Liaoning and Xinjiang, i.e. from the most to the least developed provinces, if the investment objectives are to find the best market return and the greatest impact on rural market development. #
[A]:
China's rural electricity market-a quantitative analysis