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.

Input: Consider 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.

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


Input: Consider Input: We determined the interferon-␥ (IFN-␥) cDNA sequence from three porcine breeds, Duroc, Landrance/Duroc hybrid, and Landrance breeds. Five single nucleotide polymorphisms (SNPs) of porcine IFN-␥ (PoIFN-␥) were identified, respectively, at positions 269 (A/G), 376 (C/T), 426 (T/C), and 465 (T/C) of the coding sequence in Landrance/Duroc hybrid, and at position 251 (A/G) in Landrance breed. Among them, A269G and A251G polymorphisms resulted in Q67R and K61R replacements in the mature protein. PoIFN-␥ cDNAs of Duroc breed (PoIFN-␥-W) and Landrance/Duroc hybrid (PoIFN-␥-M), which, respectively, encoded Q67 and R67, were introduced into a prokaryotic expression vector pET32 to express recombinant PoIFN-␥-W (rPoIFN-␥-W) and rPoIFN-␥-M protein variants in Escherichia coli. The identity of both protein variants was further confirmed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). We then compared bioactivities of these two recombinant proteins. Although both recombinant protein variants exhibited comparable activities in antiproliferation of PK-15 cells and in nitric oxide (NO) induction of porcine peripheral monocytes, antiviral activity of rPoIFN-␥-W protein was significantly higher (P < 0.001) than that of rPoIFN-␥-M protein in a plaque inhibition assay using pseudorabies virus (PRV). IC50 values of rPoIFN-␥-W and rPoIFN-␥-M protein in anti-PRV assay were determined as 5.3 ± 1.3 and 9.3 ± 4.3 nM, respectively. In conclusion, we have identified five novel SNPs in PoIFN-␥ cDNA, including two missense polymorphisms that result in Q67R and K61R replacements. Our results further demonstrate that Q67R can markedly reduce antiviral activity of the PoIFN-␥ protein. This is the first report that shows the functional SNP in the coding region of IFN-␥. In the future, it is imperative to determine whether Q67R replacement in IFN-␥ may have disease association.

Output: A missense polymorphism in porcine interferon-␥ cDNA affects antiviral activity of the protein variant


Input: Consider Input: Two serological tests were used to examine the antigenic relationships between murine hepatitis viruses that cause different diseases in mice. Antisera prepared by immunization of mice with the individual viruses were tested for their ability to neutralize both the homologous immunogen and the other viruses. By a plaque reduction neutralization test, each antiserum was found to be specific for the immunizing virus; however, there was substantial cross-reactivity, indicating the viruses were closely related. By kinetic neutralization, two of the viruses tested, MHV-JtIM and MHV-2, were found to be antigenically distinct. MHV-3 and MHV-A59 were found to be antigenieally very similar but distinct. These data show that kinetic neutralization is a more precise method for determining the antigenic relationships between murine coronaviruses.


Output: Archives of Virology Antigenic Relationships of Murine Coronaviruses