In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

Example Input: Paragraph: People in the Middle East have been affected by the Middle East Respiratory Syndrome CoronaVirus (MERS Co-V) since 2012. New cases are continuously reported especially in the Kingdom of Saudi Arabia, and the risk of exposure remains an issue. Data visualization plays a vital role in effective analysis of the data. In this paper, we introduce an interactive visualization application for MERS data collected from the Control and Command Centre, Ministry of Health website of Saudi Arabia. The data corresponding to the period from January 1, 2019 to February 28, 2019 was used in the present work. The attributes considered include gender, age, date of reporting, city, region, camel contact, description and status of the patient. The visualization tool has been developed using Shiny framework of R programming language. The application presents information in the form of interactive plots, maps and tables. The salient feature of the tool is that users can view and download data corresponding to the period of their choice. This tool can help decision makers in the detailed analysis of data and hence devise measures to prevent the spread of the disease. 
 Title: Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome
Example Output: False

Example Input: Paragraph: Severe acute respiratory syndrome (SARS) is caused by a novel coronavirus (CoV), SARS-CoV. In previous studies, we showed that a SARS-CoV spike (S) glycoproteinbased modified vaccinia Ankara (MVA-S) vaccine could induce strong neutralizing antibody (Nab) response which might have played a critical role in protecting Chinese rhesus monkeys from the pathogenic viral challenge. To date, however, it remains unknown what the minimal level of Nab is required to achieve sterile immunity in humans. It is therefore important to explore techniques to maximize the level of Nab response in vivo. Here, we evaluate various vaccination regimens using combinations of DNA-S, MVA-S, and adenovirus type 5 (Ad5-S) vaccines. We show that in vaccinated mice and rabbits, a heterologous MVA-S prime with Ad5-S boost regimen induces the highest and most persistent level of Nab response when compared with other combinations. Interestingly, the initial level of Nab after prime does not necessarily predict the magnitude of the secondary response after the boost. Thus, our data provides a promising optimal regimen for vaccine development in humans against SARS-CoV infection. 
 Title: Heterologous MVA-S prime Ad5-S boost regimen induces high and persistent levels of neutralizing antibody response against SARS coronavirus
Example Output: False

Example Input: Paragraph: Background: Emerging infectious diseases pose a significant risk to public health. Methods for rapid detection of pathogens are needed to effectively treat these diseases. Recently, we developed new methods for the rapid determination of viral RNA sequences, RDV ver1.0 and ver2.0. We demonstrated that these methods were able to simultaneously detect cDNA fragments of many different viruses without using sequence specific primers. However, some species of viruses, including the Yokose virus (YOKV), a flavivirus, could not be detected using the conventional procedures. Objective: The RDV method was further modified to reduce the candidate PCR primer sets. Study design: Primer sets were reduced to 256 sets in the improved RDV ver3.0, and theoretically, all viral cDNA fragments ligated by two kinds of adaptors after digestion by two restriction enzymes could be amplified in the PCR step for direct sequencing. Results: We succeeded in obtaining 118 YOKV cDNA fragments of the 141 sequence fragments. The cDNA fragments covered diverse range of viral genome. Conclusion: We were able to reduce the combinations of PCR primer sets used in the RDV method. This RDV method ver3.0 has a potential to detect viral cDNA fragments of both known and unknown RNA viruses rapidly and conveniently. 
 Title: Ligation-mediated amplification for effective rapid determination of viral RNA sequences (RDV)
Example Output:
True