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: One-hundred sixty Escherichia coli isolates obtained from piglets with diarrhea from different parts of Slovakia were examined for the presence of genes coding for F4, F5, F6 and F41 fimbrial adhesins, and hemolytic activity. According to polymerase chain reaction tests 74 (46 %) E. coli isolates were positive for primers that detected genes coding for fimbrial adhesins. Of these 74 isolates, 64 were positive for genes encoding for F4 + , four for F5 + , five for F6 + , and one for both F41 + and F5 + adhesins. 
 Title: Genotyping of Fimbrial Adhesins in Escherichia coli Strains Isolated from Slovak Piglets Suffering from Diarrhea
Example Output: False

Example Input: Paragraph: Objectives: The outbreak of Middle Eastern respiratory syndrome coronavirus (MERS-CoV) was one of the major events in South Korea in 2015. In particular, this study pays attention to formulating a mathematical model for MERS transmission dynamics and estimating transmission rates. Methods: Incidence data of MERS-CoV from the government authority was analyzed for the first aim and a mathematical model was built and analyzed for the second aim of the study. A mathematical model for MERS-CoV transmission dynamics is used to estimate the transmission rates in two periods due to the implementation of intensive interventions. Results: Using the estimates of the transmission rates, the basic reproduction number was estimated in two periods. Due to the superspreader, the basic reproduction number was very large in the first period; however, the basic reproduction number of the second period has reduced significantly after intensive interventions. Conclusion: It turned out to be the intensive isolation and quarantine interventions that were the most critical factors that prevented the spread of the MERS outbreak. The results are expected to be useful to devise more efficient intervention strategies in the future. 
 Title: The Characteristics of Middle Eastern Respiratory Syndrome Coronavirus Transmission Dynamics in South Korea
Example Output: True

Example Input: Paragraph: Purpose-Hospital-acquired infections with highly resistant organisms are an important problem among critically ill patients. Control of these organisms has largely focused within individual hospitals. We examine the extent to which transfers of critically ill patients could be a vector for wide spread of highly resistant organisms, and compare the efficiency of different approaches to targeting infection control resources. analyzed the network of interhospital transfers of intensive care unit patients in 2005 U.S. Medicare data and 2004-2006 Pennsylvania all-payer data. We simulated spread of highly resistant hospital-acquired infections by randomly choosing a single hospital to develop a highly resistant organism and following spread of infection or colonization throughout the network under varying strategies of infection control and varying levels of infectivity. Results-Critical care transfers could spread a highly resistant organism between any two U.S. hospitals in a median of three years. Hospitals varied substantially in their importance to limiting potential spread. Targeting resources to a small subset of hospitals based on their position in the transfer network was 16 times more efficient than distributing infection control resources uniformly. Within any set of targeted hospitals, the best strategy for infection control heavily concentrated resources at a few particularly important hospitals, regardless of level of infectivity. Conclusions-Critical care transfers provide a plausible vector for wide-spread dissemination of highly resistant hospital-acquired microorganisms. Infection control efforts can be made more efficient by selectively targeting hospitals most important for transmission. 
 Title: Assistant Professor of Internal Medicine, Pulmonary & Critical Care Medicine, 3A23 300 NIB, SPC 5419, 300 North Ingalls
Example Output:
True