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".

Input: Consider Input: Paragraph: Saffold virus (SAFV) is classified into the Cardiovirus genus of the Picornaviridae family. Up to now, eleven genotypes have been identified however, their clinical significance remains unclear. Here, we investigated the presence of SAFV in asymptomatic patients admitted for adenoidectomy. A total of 70 adenoid tissue samples were collected from children with clinical symptoms caused by hypertrophy of adenoids but without symptoms of airway infection. Samples were investigated for SAFV by RT-nested PCR and sequence analysis. Eleven of 70 (15.7%) samples were positive for SAFV. Nasopharyngeal swabs were available from 45 children just before surgery. SAFV was rarely found and only in children with SAFV-positive adenoids 2/8. Our findings indicate that the presence of SAFV seems to be more frequent in adenoid tissue than expected. This could support the notion of a longer than previously anticipated persistence of SAFV nucleic acids in the respiratory tract and possibly a chronic infection. Further investigations are necessary to establish the role of SAFV infection in humans. 
 Title: Frequent detection of Saffold cardiovirus in adenoids

Output: True


Input: Consider Input: Paragraph: a summary of the evolution of infectiousness over time. When who-infects-whom is observed, the Nelson-Aalen estimator produces an unbiased estimate of the cumulative hazard function of the contact interval distribution. When who-infects-whom is not observed, we use an EM algorithm to average the Nelson-Aalen estimates from all possible combinations of who-infected-whom consistent with the observed data. This converges to a nonparametric maximum likelihood estimate of the cumulative hazard function that we call the marginal Nelson-Aalen estimate. We study the behavior of these methods in simulations and use them to analyze household surveillance data from the 2009 influenza A(H1N1) pandemic. 
 Title: Nonparametric survival analysis of infectious disease data Summary

Output: True


Input: Consider Input: Paragraph: Objectives: The aims of this article were: to summarize the pharmacology, pharmacokinetics, and efficacy of daptomycin; to explore its safety profile', and to discuss its current and potential roles as an antimicrobial therapy Results: Phase III study results suggest no difference in efficacy or tolerability between daptomycin 4 mg/kg IV QD and vancomycin or semisynthetic penicillins for complicated skin and skin-structure infections. Animal studies suggest daptomycin may be useful for the treatment of endocarditis. Daptomycin is not indicated for pneunionia, with poorer outcomes than conventional treatnient. It is available as an IV niedication and exhibits 92% plasnia protein binding in vitro. In healthy adult humans, daptoniycin has a volume of distribution of 0.1 Ukg and a plasma elimination half-life of -9 hours, and is eliminated primarily by renal excretion (-54%). In patients with reduced renal function, including those receiving hemodialysis and peritoneal dialysis, the dose interval should be 48 hours. No dosage adjustnient appears to be necessary for mild to nioderate hepatic impairnient. The use of daptomycin in patients with severe hepatic irnpairnient has not been assessed. The niost comnionly reported adverse events include constipation, nausea, injection-site reactions, headache, and diarrhea. Patients should also be nionitored regularly for skeletal niuscle toxicity. Conclusions: Daptoniycin may be useful for complicated skin and skin-structure infections and gram-positive pathogens resistant to conventional antimicrobials. However, limited data are currently available for duration of treatment beyond 14 days and at doses >4 mg/kg QD. (Clin Ther. 
 Title: New Drug Daptomycin: A Cyclic Lipopeptide Antimicrobial Agent


Output: False