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]: We describe a Multiplex Primer Prediction (MPP) algorithm to build multiplex compatible primer sets to amplify all members of large, diverse and unalignable sets of target sequences. The MPP algorithm is scalable to larger target sets than other available software, and it does not require a multiple sequence alignment. We applied it to questions in viral detection, and demonstrated that there are no universally conserved priming sequences among viruses and that it could require an unfeasibly large number of primers ($3700 18-mers or $2000 10-mers) to generate amplicons from all sequenced viruses. We then designed primer sets separately for each viral family, and for several diverse species such as foot-and-mouth disease virus (FMDV), hemagglutinin (HA) and neuraminidase (NA) segments of influenza A virus, Norwalk virus, and HIV-1. We empirically demonstrated the application of the software with a multiplex set of 16 short (10 nt) primers designed to amplify the Poxviridae family to produce a specific amplicon from vaccinia virus.
[EX A]: Multiplex primer prediction software for divergent targets

[EX Q]: The family Potyviridae encompasses~30% of plant viruses and is responsible for significant economic losses worldwide. Recently, a small overlapping coding sequence, termed pipo, was found to be conserved in the genomes of all potyvirids. PIPO is expressed as part of a frameshift protein, P3N-PIPO, which is essential for virus cell-to-cell movement. However, the frameshift expression mechanism has hitherto remained unknown. Here, we demonstrate that transcriptional slippage, specific to the viral RNA polymerase, results in a population of transcripts with an additional "A" inserted within a highly conserved GAAAAAA sequence, thus enabling expression of P3N-PIPO. The slippage efficiency is~2% in Turnip mosaic virus and slippage is inhibited by mutations in the GAAAAAA sequence. While utilization of transcriptional slippage is well known in negative-sense RNA viruses such as Ebola, mumps and measles, to our knowledge this is the first report of its widespread utilization for gene expression in positive-sense RNA viruses.
[EX A]: Transcriptional slippage in the positive-sense RNA virus family Potyviridae

[EX Q]: Objectives: This study sought to examine the operational and organizational management of a major outbreak of Middle East Respiratory Syndrome (MERS) caused by a novel coronavirus (MERS-CoV) in the Kingdom of Saudi Arabia (KSA). Key stakeholder perspectives were sought of the managerial processes associated with perceived success and lessons for future outbreaks. Setting: A large teaching tertiary health care center in KSA; outbreak lasted six weeks commencing August 2015. Participants: Data were collected via individual and focus group interviews with twenty-eight participants. These included nine key decision-makers and nineteen frontline health care workers (May, 2016). Additionally, documents pertaining to the outbreak management and subsequent audit were reviewed. We used process evaluation utilizing qualitative methods to examine perceptions of the outbreak and the factors contributing to, or detracting from, successful management. Data were analyzed using thematic content analysis. Results: Analysis revealed five themes and fifteen sub-themes. The themes were related to 1) Stress of the outbreak, 2) Factors perceived to contribute to outbreak occurrence, 3) Factors perceived to contribute to success of outbreak control, 4) Factors inhibiting outbreak control, and 5) Long-term institutional gains in response to the outbreak management. The practiced management of MERS at KAMC-R is an example of collective leadership. The dynamic utilization of multiple leaders, the selective activation of middle management's role, and the effective distribution of different tasks and responsibilities, resulted in breaking the transmission chain. The study also illustrates the need to address managerial aspects relating to the empowerment, motivation and mental health protection of frontline health care workers. • This is the first study to examine stakeholder perspectives of emergency managerial handling of MERS-CoV -a virus of international significance and high mortality. • The study was independently conducted, and included perspectives of key stakeholders; managers and frontline health care workers. • The study was relatively small, and focused on the subjective perceptions of key stakeholder participants. The King Abdullah International Medical Research Center approved the research and funded the data collection and analysis. that is suitable to be replicated. Frontline management, dynamic utilization of multiple leaders, selective activation of middle management's role, and the effective distribution of different tasks and responsibilities among all concerned parties, resulted in a clear success, represented by outbreak control and subsequent institutional transformation. Despite this success, several managerial and change management aspects related to the empowerment, motivation, and mental health protection of frontline HCWs need to be addressed. The research team members declare no conflicts of interest.
[EX A]:
Management of a Large Middle East Respiratory Syndrome Outbreak in a Tertiary Care Hospital: a Qualitative Case Study Management of a Large Middle East Respiratory Syndrome Outbreak Management of a Large Middle East Respiratory Syndrome Outbreak in a Tertiary Care Hospital: a Qualitative Case Study Perceptions of Management of a Large Middle East Respiratory Syndrome Outbreak in a Tertiary Care Hospital: a Qualitative Study Management of a Large Middle East Respiratory Syndrome Outbreak Perceptions of Post-break out Management by management and healthcare workers of a Middle East Respiratory Syndrome Outbreak in a Tertiary Care Hospital: a Qualitative Study Management of a Large Middle East Respiratory Syndrome Outbreak