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 Q]: A newly identified betacoronavirus, human coronavirus EMC (HCoV-EMC), has been isolated from several patients with respiratory and renal disease in the Middle East. While only a few infected patients have been identified, the mortality of the infection is greater than 50%. Like its better-known cousin severe acute respiratory syndrome coronavirus (SARS-CoV), HCoV-EMC appears to have originated from bats. In a recent article in mBio, Muller et al. described several important differences between the two viruses [M. A. Muller et al., mBio 3(6):e00515-12, 2012, doi:10.1128/mBio.00515-12]. Unlike SARS-CoV, HCoV-EMC can directly infect bat cells. As important, HCoV-EMC does not enter cells using the SARS-CoV receptor, human angiotensin-converting receptor -2 (hACE2) . These results provide a strong incentive for identifying the host cell receptor used by HCoV-EMC. Identification of the receptor will provide insight into the pathogenesis of pulmonary and renal disease and may also suggest novel therapeutic interventions. Citation Perlman S, Zhao J. 2013. Human coronavirus EMC is not the same as severe acute respiratory syndrome coronavirus. mBio 4(1):e00002-13.
[EX A]: Human Coronavirus EMC Is Not the Same as Severe Acute Respiratory Syndrome Coronavirus

[EX Q]: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious 24 disease localized to China, Japan, and Korea that is characterized by severe hemorrhage and a 25 high fatality rate. Currently, no specific vaccine or treatment has been approved for this 26 disease. To develop a therapeutic agent for SFTS, we isolated antibodies from a phage-27 displayed antibody library that was constructed from a patient who recovered from SFTS 28 virus (SFTSV) infection. One antibody, designated as Ab10, was reactive to the Gn envelope 29 glycoprotein of SFTSV and protected host cells and A129 mice from infection in both in 30 vitro and in vivo experiments. Notably, Ab10 protected 80% of mice, even when injected 5 31 days after inoculation with a lethal dose of SFTSV. Using cross-linker assisted mass 32 spectrometry and alanine scanning, we located the non-linear epitope of Ab10 on the Gn 33 glycoprotein domain II and an unstructured stem region, suggesting that Ab10 may inhibit a 34 conformational alteration that is critical for cell membrane fusion between the virus and host 35 cell. Ab10 reacted to recombinant Gn glycoprotein in Gangwon/Korea/2012, HB28, and SD4 36 strains. Additionally, based on its epitope, we predict that Ab10 binds the Gn glycoprotein in 37 247 of 272 reported SFTSV isolates previously reported. Together, these data suggest that 38 Ab10 has potential to be developed into a therapeutic agent that could protect against more 39 than 90% of reported SFTSV isolates. 40 41
[EX A]: An anti-Gn glycoprotein antibody from a convalescent patient potently 2 inhibits the infection of severe fever with thrombocytopenia syndrome virus

[EX Q]: Infectious diseases that are caused by pathogenic microorganisms can spread fast and far, from one person to another, directly or indirectly. Prompt quarantining of the infected from the rest, coupled with contact tracing, has been an effective measure to encounter outbreaks. However, urban life and international travel make containment difficult. Furthermore, the length of incubation periods of some contagious diseases like SARS enable infected passengers to elude health screenings before first symptoms appear and thus to carry the disease further. Detecting and visualizing contact-tracing networks, and immediately identifying the routes of infection, are thus important. We apply information visualization and hidden cluster detection for finding cliques of potentially infected people during incubation. Preemptive control and early quarantine are hence possible by our method. Our prototype Infectious Disease Detection and Quarantine Management System (IDDQMS), which can identify and trace clusters of infection by mining patients' history, is introduced in this paper.
[EX A]:
Hidden Cluster Detection for Infectious Disease Control and Quarantine Management