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.

Example Input: The worldwide outbreak of the swine-origin 2009 H1N1 influenza A virus (IAV) and an increasing number of influenza cases caused by a highly pathogenic avian influenza (HPAI) H5N1 have accelerated the need to develop vaccines and antiviral agents against IAVs. Among various antivirals, neutralizing monoclonal antibodies (mAbs) are considered important passive therapeutics having an immediate effect against viral pathogens. Here we report a pseudovirus neutralization assay for rapid screening of neutralizing mAbs targeting hemagglutinin (HA) of H5N1 and H1N1 IAV. In this study, we generated six pseudoviruses with an HIV-1 backbone, respectively, expressing HA of four clades of H5N1 IAV and the 2009 epidemic H1N1 IAV. The resulting pseudoviruses were able to infect a variety of human and non-human cells, with 293T cells from human kidney as the most susceptible target cells. Using the established pseudovirus neutralization assay, we showed that three of ten selected mAbs specific to HA could potently neutralize infection of a pseudovirus bearing HA from the homologous IAV A/VietNam/1194/ 2004(H5N1) strain. This was highly consistent with the result of a microneutralization assay testing the same strain of a live IAV. Since the pseudovirus neutralization assay does not involve an infectious virus and can be performed without the requirement of a biosafety-3 laboratory, it may be applied for safe and rapid screening of neutralizing mAbs and antiviral agents targeting HA of IAVs.
Example Output: Development of a safe and convenient neutralization assay for rapid screening of influenza HA-specific neutralizing monoclonal antibodies

Example Input: Since the first imported case of Middle East respiratory syndrome coronavirus (MERS-CoV) infection was reported on May 20, 2015 in Korea, there have been 186 laboratoryconfirmed cases of MERS-CoV infection with 36 fatalities. Ninety-seven percent (181/186) of the cases had exposure to the health care facilities. We are reporting a superspreading event that transmitted MERS-CoV to 81 persons at a hospital emergency room (ER) during the Korean outbreak in 2015. The index case was a 35-yr-old man who had vigorous coughing while staying at the ER for 58 hr. As in severe acute respiratory syndrome outbreaks, superspreading events can cause a large outbreak of MERS in healthcare facilities with severe consequences. All healthcare facilities should establish and implement infection prevention and control measure as well as triage policies and procedures for early detection and isolation of suspected MERS-CoV cases.
Example Output: Middle East Respiratory Syndrome Coronavirus Superspreading Event Involving 81 Persons, Korea 2015

Example Input: A simulation framework to investigate in vitro viral infection dynamics Bankhead, A.; Mancini, E.; Sims, A.C.; Baric, R.S.; McWeeney, S.; Sloot, P.M.A. Virus infection is a complex biological phenomenon for which in vitro experiments provide a uniquely concise view where data is often obtained from a single population of cells, under controlled environmental conditions. Nonetheless, data interpretation and real understanding of viral dynamics is still hampered by the sheer complexity of the various intertwined spatio-temporal processes. In this paper we present a tool to address these issues: a cellular automata model describing critical aspects of in vitro viral infections taking into account spatial characteristics of virus spreading within a culture well. The aim of the model is to understand the key mechanisms of SARS-CoV infection dynamics during the first 24 hours post infection. We interrogate the model using a Latin Hypercube sensitivity analysis to identify which mechanisms are critical to the observed infection of host cells and the release of measured virus particles.
Example Output:
UvA-DARE (Digital Academic Repository) Link to publication Creative Commons License (see https://creativecommons.org/use-remix/cc-licenses): CC BY-NC-ND Citation for published version (APA): A Simulation Framework to Investigate in vitro Viral Infection Dynamics