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".

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
True

Paragraph: Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks with stochastic dynamical processes from limited time series remains to be an outstanding problem. Here we develop a framework based on compressed sensing to reconstruct complex networks on which stochastic spreading dynamics take place. We apply the methodology to a large number of model and real networks, finding that a full reconstruction of inhomogeneous interactions can be achieved from small amounts of polarized (binary) data, a virtue of compressed sensing. Further, we demonstrate that a hidden source that triggers the spreading process but is externally inaccessible can be ascertained and located with high confidence in the absence of direct routes of propagation from it. Our approach thus establishes a paradigm for tracing and controlling epidemic invasion and information diffusion in complex networked systems. ½S i ðt 2 Þ þ S i ðt 6 Þ=2 and hS i ðt 2 þ 1Þi ¼ ½S i ðt 12 Þ þ S i ðt 14 Þ=2 based on the remaining strings marked in different colours (see Methods for more details). CST can be used to reconstruct the neighbouring vector X of node 2 from Y and U from Y ¼ U . X. 
 Title: ARTICLE Reconstructing propagation networks with natural diversity and identifying hidden sources
False

Paragraph: and occasionally lead to death. Furthermore, every few decades, respiratory virus pandemics emerge, putting the entire world population at risk. thus, there is an urgent need to quickly and precisely identify the infecting agent in a clinical setting. However, in many patients with influenza-like symptoms (ILS) the identity of the underlying pathogen remains unknown. In addition, it takes time and effort to individually identify the virus responsible for the ILS. Here, we present a new next-generation sequencing (NGS)based method that enables rapid and robust identification of pathogens in a pool of clinical samples without the need for specific primers. The method is aimed at rapidly uncovering a potentially common pathogen affecting many samples with an unidentified source of disease. 
 Title: A method to identify respiratory virus infections in clinical samples using next-generation sequencing

True