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.

Ex Input:
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.

Ex Output:
Smart monitoring and controlling of Pandemic Influenza A (H1N1) using Social Network Analysis and cloud computing


Ex Input:
Charley, B., McCullough, K. and Martinod, S., 1988. Antiviral and antigenic properties of recombinant porcine interferon gamma. Vet. Immunol. Immunopathol., Recombinant porcine interferon gamma (rPoIFN7) induced a dose-dependent inhibition of the cytopathic effect produced by vesicular stomatitis virus (VSV) challenge of both homologous and heterologous (bovine) cell lines. In addition, an antiviral effect of rPoIFN7 was demonstrable against the coronavirus transmissible gastroenteritis virus (TGEV) infection of porcine epithelial cells and of pulmonary macrophages. A rabbit anti-PoIFN7 antiserum was prepared and shown to specifically neutralize the antiviral effects of natural and recombinant porcine IFN7 preparations. This antiserum could also neutralize recombinant bovine IFN7 but not recombinant human IFNT. These results suggest antigenic homology of porcine and bovine IFN~ but antigenic differences between these molecules and human IFNT.

Ex Output:
Antiviral and Antigenic Properties of Recombinant Porcine Interferon Gamma


Ex Input:
The study of epidemic spreading on populations of networked individuals has seen recently a great deal of significant progresses. A common point in many of past studies is, however, that there is only one peak of infected density in each single epidemic spreading episode. At variance, real data from different cities over the world suggest that, besides a major single peak trait of infected density, a finite probability exists for a pattern made of two (or multiple) peaks. We show that such a latter feature is distinctive of a multilayered network of interactions, and reveal that a two peaks pattern may emerge from different time delays at which the epidemic spreads in between the two layers. Further, we show that the essential ingredient is a weak coupling condition between the layers themselves, while different degree distributions in the two layers are also helpful. Moreover, an edge-based theory is developed which fully explains all numerical results. Our findings may therefore be of significance for protecting secondary disasters of epidemics, which are definitely undesired in real life.

Ex Output:

Multiple peaks patterns of epidemic spreading in multi-layer networks