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".

[EX Q]: Paragraph: COVID-19 threatens to overwhelm hospital facilities throughout the United States. We created an interactive, quantitative model that forecasts demand for COVID-19 related hospitalization based on county-level population characteristics, data from the literature on COVID-19, and data from online repositories. Using this information as well as user inputs, the model estimates a time series of demand for intensive care beds and acute care beds as well as the availability of those beds. The online model is designed to be intuitive and interactive so that local leaders with limited technical or epidemiological expertise may make decisions based on a variety of scenarios. This complements high-level models designed for public consumption and technically sophisticated models designed for use by epidemiologists. The model is actively being used by several academic medical centers and policy makers, and we believe that broader access will continue to aid community and hospital leaders in their response to COVID-19. 
 Title: A model to forecast regional demand for COVID-19 related hospital beds
[EX A]: True

[EX Q]: Paragraph: The yeast two-hybrid (Y2H) system is a powerful method to identify and analyze binary protein interactions. In the fi eld of virology, the Y2H system has signifi cantly increased our knowledge of structure and function of viral proteins by systematically assessing intraviral protein interactions. Several comprehensive approaches to determine virus-host interactions have provided insight into viral strategies to manipulate the host for effi cient replication and to escape host-derived countermeasures. To expand our knowledge of intraviral and virus-host protein interactions, we here present a Y2H protocol that is well suited for high-throughput screening. Yeast mating followed by liquid handling in a 96-well format as well as fl uorescent readout of the reporter system provides a highly standardized and fully automated screening situation. The protocol can either be applied to screen complex host cDNA libraries or protein pairs arrayed for cross-testing. The ease of use, the cost-effectiveness as well as the robotic handling allows for extensive and multiple rounds of screening providing high coverage of protein-protein interactions. Thus, this protocol represents an improved "deep" screening method for high-throughput Y2H assays. 
 Title: Chapter 1 A High-Throughput Yeast Two-Hybrid Protocol to Determine Virus-Host Protein Interactions
[EX A]: True

[EX Q]: Paragraph: Background: To increase understanding of human bacterial and parasitic pathogens in bats, we investigated the prevalence of Babesia spp., Rickettsia spp., Anaplasma spp. and Coxiella burnetii in bats from China. Methods: Bats were captured from Mengyin County, Shandong Province of China using nets. DNA was extracted from the blood and spleen of bats for molecular detection of Babesia spp., Rickettsia spp., Anaplasma spp. and Coxiella burnetii with specific primers for each species. Results: A total of 146 spleen samples and 107 blood samples of insectivorous bats, which belonged to 6 species within two families, were collected from Mengyin County, Shandong Province of China. We found that two Eptesicus serotinus (2/15, 13.3%) were positive for Babesia vesperuginis. We were unable to detect genomic sequences for Rickettsia spp., Anaplasma spp. and Coxiella burnetii. Conclusions: To our knowledge, our study showed for the first time the presence of Babesia vesperuginis in Eptesicus serotinus collected from China, suggesting that Babesia vesperuginis has a broad host species and geographical distribution. 
 Title: Babesia vesperuginis in insectivorous bats from China
[EX A]:
False