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".
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Question: Paragraph: Background. Recent trials suggest procalcitonin-based guidelines can reduce antibiotic use for respiratory infections. However, the accuracy of procalcitonin to discriminate between viral and bacterial pneumonia requires further dissection. Methods. We evaluated the association between serum procalcitonin concentration at hospital admission with pathogens detected in a multicenter prospective surveillance study of adults hospitalized with community-acquired pneumonia. Systematic pathogen testing included cultures, serology, urine antigen tests, and molecular detection. Accuracy of procalcitonin to discriminate between viral and bacterial pathogens was calculated. Results. Among 1735 patients, pathogens were identified in 645 (37%), including 169 (10%) with typical bacteria, 67 (4%) with atypical bacteria, and 409 (24%) with viruses only. Median procalcitonin concentration was lower with viral pathogens (0.09 ng/ mL; interquartile range [IQR], <0.05-0.54 ng/mL) than atypical bacteria (0.20 ng/mL; IQR, <0.05-0.87 ng/mL; P = .05), and typical bacteria (2.5 ng/mL; IQR, 0.29-12.2 ng/mL; P < .01). Procalcitonin discriminated bacterial pathogens, including typical and atypical bacteria, from viral pathogens with an area under the receiver operating characteristic (ROC) curve of 0.73 (95% confidence interval [CI], .69-.77). A procalcitonin threshold of 0.1 ng/mL resulted in 80.9% (95% CI, 75.3%-85.7%) sensitivity and 51.6% (95% CI, 46.6%-56.5%) specificity for identification of any bacterial pathogen. Procalcitonin discriminated between typical bacteria and the combined group of viruses and atypical bacteria with an area under the ROC curve of 0.79 (95% CI, .75-.82). Conclusions. No procalcitonin threshold perfectly discriminated between viral and bacterial pathogens, but higher procalcitonin strongly correlated with increased probability of bacterial pathogens, particularly typical bacteria. 
 Title: Clinical Infectious Diseases Clinical Infectious Diseases ® 2017;65(2):183-90 Procalcitonin as a Marker of Etiology in Adults Hospitalized With Community-Acquired Pneumonia

Answer: True


Question: Paragraph: Dickeya species are high consequence plant pathogenic bacteria listed among the quarantine pathogens of the European Union; associated with potato disease outbreaks and subsequent economic losses worldwide. Early, accurate, and reliable detection of Dickeya spp. is needed to prevent establishment and further dissemination of this pathogen. Therefore, a multiplex TaqMan qPCR was developed for sensitive detection of Dickeya spp. and specifically, D. dianthicola. A signature genomic region for the genus Dickeya (mglA/mglC) and unique genomic region for D. dianthicola (alcohol dehydrogenase) were identified using a whole genome based comparative genomics approach. The developed multiplex TaqMan qPCR was validated using extensive inclusivity and exclusivity panels, and naturally/artificially infected samples to confirm broad range detection capability and specificity. Both sensitivity and spiked assays showed detection limit of 10 fg DNA. The developed multiplex assay is sensitive and reliable to detect Dickeya spp. and D. dianthicola with no false positives or false negatives. It was able to detect mixed infection from naturally and artificially infected plant materials. The developed assay will serve as a practical tool for screening of propagative material, monitoring the presence and distribution, and quantification of target pathogens in a breeding program. The assay also has applications in routine diagnostics, biosecurity and microbial forensics. 
 Title: Comparative genomics reveals signature regions used to develop a robust and sensitive multiplex TaqMan real-time qPCR assay to detect the genus Dickeya and Dickeya dianthicola

Answer: False


Question: Paragraph: We recall the utility function of individual i defined in the Methods section below, (S1) Define the space of probability distributions on the action space (0 ≤ a i ≤ 1) [0, 1] as ([0, 1]). A mixed strategy profile σ (·) is a function that maps the state s ∈ {0, 1} n to the space of probability distributions on the actions space, i.e., σ i : {0, 1} n → ([0, 1]). The definition of a mixed MMPE strategy profile σ * := {σ * i : {0, 1} n → [0, 1]} is a distribution on the action space that satisfies the following, for all t = 1, 2, . . . , and i ∈ N , 
 Title: Disease dynamics in a stochastic network game: a little empathy goes a long way in averting outbreaks Supplementary Material

Answer:
True