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 Input:
Paragraph: The newborn calf's gastrointestinal tract is sterile at birth, but by 3 days of age coliforms, Lactobacilli, and Bifidobacteria are the predominant flora in the feces. During the preweaning period, calves are susceptible to diarrhea that can lead to high levels of morbidity and mortality. Diarrhea has been related with a decrease of beneficial microbiota and an increase of coliform counts in feces. Prebiotic supplements are believed to decrease diarrhea and positively affect some parameters of the immune system. In calves, these supplements have shown some promising effects on intestinal microbial populations but there is limited information about effects on immunity. The main objectives of this study were to evaluate effects of a prebiotic supplement containing fermentation products of lactic acid bacteria on the mucosal immune system by measuring fecal and salivary IgA and to evaluate calf health and growth performance. In this trial 40 Holstein calves were randomly assigned to receive milk replacer with a prebiotic supplement (20 g/day Prebio Support™; Meiji Feed Co., Ltd. Tokyo, Japan) or the same milk replacer with no prebiotic (control). Fecal and salivary IgA, calf health, plasma IgG, and lymphocyte counts were not affected by treatment. Lactobacilli count in feces was higher (P = 0.05) and Bifidobacteria tended to be higher (P = 0.07) in calves fed prebiotic. Prebiotic supplement increased beneficial bacteria in calves, but did not decrease overall incidence of diarrhea in this trial. Calves in this study were all affected by cryptosporidiosis and some were treated with antibiotics, so it is possible that this limited some of the effects of the prebiotic product. Fecal IgA seemed to be a good measure of mucosal immunity, and more studies are needed to develop methods to measure this type of immunity in calves. 
 Title: The effects of a prebiotic supplement (Prebio Support) on fecal and salivary IgA in neonatal dairy calves

Ex Output:
True


Ex Input:
Paragraph: Using sequence data to infer population dynamics is playing an increasing role in the analysis of outbreaks. The most common methods in use, based on coalescent inference, have been widely used but not extensively tested against simulated epidemics. Here, we use simulated data to test the ability of both parametric and non-parametric methods for inference of effective population size (coded in the popular BEAST package) to reconstruct epidemic dynamics. We consider a range of simulations centred on scenarios considered plausible for pandemic influenza, but our conclusions are generic for any exponentially growing epidemic. We highlight systematic biases in non-parametric effective population size estimation. The most prominent such bias leads to the false inference of slowing of epidemic spread in the recent past even when the real epidemic is growing exponentially. We suggest some sampling strategies that could reduce (but not eliminate) some of the biases. Parametric methods can correct for these biases if the infected population size is large. We also explore how some poor sampling strategies (e.g. that over-represent epidemiologically linked clusters of cases) could dramatically exacerbate bias in an uncontrolled manner. Finally, we present a simple diagnostic indicator, based on coalescent density and which can easily be applied to reconstructed phylogenies, that identifies time-periods for which effective population size estimates are less likely to be biased. We illustrate this with an application to the 2009 H1N1 pandemic. Pandemic growth rates from sequences E. de Silva et al. 1799 Pandemic growth rates from sequences E. de Silva et al. 1807  
 Title: Inferring pandemic growth rates from sequence data

Ex Output:
True


Ex Input:
Paragraph: Co-inhibitory pathways have a fundamental function in regulating T cell responses and control the balance between promoting efficient effector functions and restricting immune pathology. The TIGIT pathway has been implicated in promoting T cell dysfunction in chronic viral infection. Importantly, TIGIT signaling is functionally linked to IL-10 expression, which has an effect on both virus control and maintenance of tissue homeostasis. However, whether TIGIT has a function in viral persistence or limiting tissue pathology is unclear. Here we report that TIGIT modulation effectively alters the phenotype and cytokine profile of T cells during influenza and chronic LCMV infection, but does not affect virus control in vivo. Instead, TIGIT has an important effect in limiting immune pathology in peripheral organs by inducing IL-10. Our data therefore identify a function of TIGIT in limiting immune pathology that is independent of viral clearance. 
 Title: TIGIT limits immune pathology during viral infections

Ex Output:

True