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 Q]: Paragraph: Multiple sclerosis (MS) is a debilitating disease of the central nervous system (CNS) that has been extensively studied using the animal model experimental autoimmune encephalomyelitis (EAE). It is believed that CD4 + T lymphocytes play an important role in the pathogenesis of this disease by mediating the demyelination of neuronal axons via secretion of proinflammatory cytokines resulting in the clinical manifestations. Although a great deal of information has been gained in the last several decades about the cells involved in the inflammatory and disease mediating process, important questions have remained unanswered. It has long been held that initial neuroantigen presentation and T cell activation events occur in the immune periphery and then translocate to the CNS. However, an increasing body of evidence suggests that antigen (Ag) presentation might initiate within the CNS itself. Importantly, it has remained unresolved which antigen presenting cells (APCs) in the CNS are the first to acquire and present neuroantigens during EAE/MS to T cells, and what the conditions are under which this takes place, ie, whether this occurs in the healthy CNS or only during inflammatory conditions and what the related cytokine microenvironment is comprised of. In particular, the central role of interferon-g as a primary mediator of CNS pathology during EAE has been challenged by the emergence of Th17 cells producing interleukin-17. This review describes our current understanding of potential APCs in the CNS and the contribution of these and other CNS-resident cells to disease pathology. Additionally, we discuss the question of where Ag presentation is initiated and under what conditions neuroantigens are made available to APCs with special emphasis on which cytokines may be important in this process. 
 Title: The Critical Role of Antigen-Presentation-Induced Cytokine Crosstalk in the Central Nervous System in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis
[EX A]: True

[EX Q]: Paragraph: Italy is currently experiencing the largest COVID-19 outbreak in Europe so far, with more than 100,000 confirmed cases. Following the identification of the first infections, on February 21, 2020, national authorities have put in place an increasing number of restrictions aimed at containing the outbreak and delaying the epidemic peak. Since March 12, the whole country is under lockdown. Here we provide the first quantitative assessment of the impact of such measures on the mobility and the spatial proximity of Italians, through the analysis of a large-scale dataset on deidentified, geo-located smartphone users. With respect to pre-outbreak averages, we estimate a reduction of 50% of the total trips between Italian provinces, following the lockdown. In the same week, the average users' radius of gyration has declined by about 50% and the average degree of the users' proximity network has dropped by 47% at national level. 
 Title: COVID-19 outbreak response: a first assessment of mobility changes in Italy following national lockdown
[EX A]: True

[EX Q]: Paragraph: Tables S4.1 and S4.2 show the goodness-of-fit results (burn-in 1,000,000 iterations, 1,000,000 iterations per graph, 1000 graphs) for the multilevel exponential random graph model (ERGM) for the relationships network. Results were generated using MPNet [1] [2] [3] . Table S4 .1 shows the results for just the bipartite network. Column 1 lists the various statistics that are evaluated. Column 2 shows the value of the statistic for the empirical network ("Sample"). Columns 3 and 4 show the mean ("Mean") and sample standard deviation ("Std. Dev."), respectively, of the statistic over simulated networks. Column 5 shows the "t-ratio", defined as (observed value-mean value)/standard deviation. For each parameter, using standard methodology, the model is a good fit for the empirical network if the "t-ratio" has absolute value less than 0.1 for parameters explicitly in the model (shown in boldface) and less than 2 otherwise. 
 Title: S4 Appendix: Multilevel ERGM Goodness of Fit
[EX A]:
True