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: It is known that the person-to-person spreading of certain infectious diseases is related with the transmission of human exhaled air in the indoor environments, and this is suspected to be the case with the severe acute respiratory syndrome (SARS) outbreak. This paper presents the numerical analysis of the human respiration process and the transport of exhaled air by breathing, sneezing, and coughing and their potential impact on the adjacent person in a modeled room with displacement ventilation. In order to account for the influence of the thermal plume around the human body, a three-dimensional computational thermal manikin (CTM) with an accurate description of body geometry was applied. Some of the results were compared with those from former simulations and experiments. It was found that personal exposure to the exhaled air from the normal respiration process of other persons is very low in a modeled room with displacement ventilation. Personal exposure to pollution caused by sneezing or coughing is highly directional. When two occupants face each other the cross-infection may happen due to the long transport distance of the exhalation. r 
 Title: Transient CFD simulation of the respiration process and inter-person exposure assessment

Answer: False


Question: Paragraph: Background: Positive controls are an integral component of any sensitive molecular diagnostic tool, but this can be affected, if several mutations are being screened in a scenario of a pandemic or newly emerging disease where it can be difficult to acquire all the necessary positive controls from the host. This work describes the development of a synthetic oligo-cassette for positive controls for accurate and highly sensitive diagnosis of several mutations relevant to influenza virus drug resistance. Results: Using influenza antiviral drug resistance mutations as an example by employing the utility of synthetic paired long oligonucleotides containing complementary sequences at their 3' ends and utilizing the formation of oligonucleotide dimers and DNA polymerization, we generated~170bp dsDNA containing several known specific neuraminidase inhibitor (NAI) resistance mutations. These templates were further cloned and successfully applied as positive controls in downstream assays. Conclusion: This approach significantly improved the development of diagnosis of resistance mutations in terms of time, accuracy, efficiency and sensitivity, which are paramount to monitoring the emergence and spread of antiviral drug resistant influenza strains. Thus, this may have a significantly broader application in molecular diagnostics along with its application in rapid molecular testing of all relevant mutations in an event of pandemic. 
 Title: Synthetic long oligonucleotides to generate artificial templates for use as positive controls in molecular assays: drug resistance mutations in influenza virus as an example

Answer: False


Question: Paragraph: The epidemiology of deaths due to vaccine-preventable diseases has been significantly and positively altered through the use of vaccines. Despite this, significant challenges remain in vaccine development and use in the third millennium. Both new (Ebola, Chikungunya, West Nile) and re-emerging diseases (measles, mumps, influenza) require the development of new or nextgeneration vaccines. The global aging of the population, and accumulating numbers of immunocompromised persons, will require new vaccine and adjuvant development to protect large segments of the population. After vaccine development, significant challenges remain globally in the cost and efficient use and acceptance of vaccines by the public. This article raises issues in these two areas and suggests a way forward that will benefit current and future generations. Description Massively parallel sequencing platforms that generate millions of bases of sequence reads in a relatively short timeframe. These platforms have a wide variety of applications including, but not limited to: whole genome sequencing, transcriptome profiling, or identification of genome-wide patterns of miRNA patterns or DNA methylation. Mass spectrometry techniques for the unbiased, semi-quantitative characterization of the entire protein content of a sample. Mass cytometry. Single cell analysis platform combining mass spectrometry with flow cytometry. Antibodies are tagged with heavy metal ions and used to stain cell populations of interest. Spectral overlap limits flow cytometry to ~20 markers. CyTOF has increased signal resolution and potentially offers 10X as many parameters. An approach to understanding variations in immune response to vaccines that utilizes high-dimensional technologies to fully characterize, at an omics level, the perturbations elicited by vaccination. This rich dataset is then analyzed using bioinformatic tools and computational modeling to create a predictive model of immune responses that can be tested and improved through iterative experimental cycles. A set of methods for capturing the transcriptome of individual cells. Methods include: STRT, SMART-Seq, Quartz-Seq, and CEL-Seq Epitope Prediction Algorithms A set of computational tools that use binding motif databases, artificial neural networks, hidden Markov models, support vector machines or other methods to predict MHC-binding peptides in protein sequences. Examples include: SYFPEITHI, BIMAS, PREDEP, RANKPEP Curr Opin Virol. Author manuscript; available in PMC 2017 April 01. 
 Title: Vaccinology in the third millennium: scientific and social challenges HHS Public Access Author manuscript

Answer:
False