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: Immune responses are a double-edged sword. Effective and appropriate immune responses capable of controlling viral infection while also largely preserving tissue integrity, are critical for host survival. Too strong immune responses might result in immune pathology, while too weak immune responses might cause viral persistence. Physiologic ageing is accompanied with a decline in the normal functioning of the immune system, which is termed as "immunosenescence". We show that aged mice (16-19 months old) are more resistant to influenza A virus (IAV) infection than the young mice. Strong immune responses in the young mice after IAV infection result in faster clearance of virus, but also cause severe lung injury and higher mortality rate. While in the aged mice, the delayed and milder immune responses contribute to reduced pulmonary damage, and are still capable to clear the infection even with a slower kinetics, displaying a more resistant phenotype during IAV infection. Hence, our work demonstrates that moderate immune responses as a decline with ageing in the aged mice balance the immune pathology and viral clearance, might be beneficial for the host during certain circumstances. Our results provide important insight to our basic knowledge of immunosenescence and immune defenses to invading pathogens. Further, our results indicate that age factors should be considered when investigating the vaccination and therapeutic strategies for severe IAV infection. 
 Title: Aged Mice are More Resistant to Influenza Virus Infection due to Reduced Inflammation and Lung Pathology
Example Output: True

Example Input: Paragraph: The porcine epidemic diarrhoea virus (PEDV), a member of the Coronaviridae family, causes acute diarrhoea and dehydration in pigs. Although it was first identified in Europe, it has become increasingly problematic in many Asian countries, including Korea, China, Japan, the Philippines, and Thailand. The economic impacts of the PEDV are substantial, given that it results in significant morbidity and mortality in neonatal piglets and is associated with increased costs related to vaccination and disinfection. Recently, progress has been made in understanding the molecular epidemiology of PEDV, thereby leading to the development of new vaccines. In the current review, we first describe the molecular and genetic characteristics of the PEDV. Then we discuss its molecular epidemiology and diagnosis, what vaccines are available, and how PEDV can be treated. 
 Title: Porcine epidemic diarrhoea virus: a comprehensive review of molecular epidemiology, diagnosis, and vaccines
Example Output: True

Example Input: Paragraph: In a paper appearing in this issue, Adini, et al. describe a struggle familiar to many emergency planners-the challenge of planning for all scenarios. The authors contend that all-hazards, or capabilities-based planning, in which a set of core capabilities applicable to numerous types of events is developed, is a more efficient way to achieve general health care system emergency preparedness than scenario-based planning. Essentially, the core of what is necessary to plan for and respond to one kind of disaster (e.g. a biologic event) is also necessary for planning and responding to other types of disasters, allowing for improvements in planning and maximizing efficiencies. While Adini, et al. have advanced the science of health care emergency preparedness through their consideration of 490 measures to assess preparedness, a shorter set of validated preparedness measures would support the dual goals of accountability and improved outcomes and could provide the basis for determining which actions in the name of preparedness really matter. Commentary 
 Title: Measuring healthcare preparedness: an all-hazards approach
Example Output:
False