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: Autoimmune retinopathy (AIR) is a rare immune-mediated retinopathy associated with circulating antiretinal antibodies (ARAs). Other prominent features of AIR include visual field deficits and photoreceptor dysfunction in the setting of progressive unexplained vision loss. The role of inflammation is poorly understood in AIR. Since cytokines play a central role in the initiation and development of inflammation, we evaluated the presence of proinflammatory cytokines and chemokines in AIR patient sera. We demonstrate that IL-6 and CXCL9 are both elevated in AIR patient sera. Moreover, the presence and concentration of these 2 molecules appear to correlate with AIR patient disease severity. This cytokine profile, IL-6 and CXCL9, has been described to participate in a variety of autoimmune and inflammatory diseases. Our study provides support for an activated inflammatory process in AIR and identifies possible mechanisms that can drive autoimmunity in this disease.
Title: Elevated serum levels of IL-6 and CXCL9 in autoimmune retinopathy (AIR) patients
[EX A]: True

[EX Q]: Paragraph: Fast simulation tools for the prediction of transient particle transport are critical in designing the air distribution indoors to reduce the exposure to indoor particles and associated health risks. This investigation proposed a combined fast fluid dynamics (FFD) and Markov chain model for fast predicting transient particle transport indoors. The solver for FFD-Markov-chain model was programmed in OpenFOAM, an open-source CFD toolbox. This study used two cases from the literature to validate the developed model and found well agreement between the transient particle concentrations predicted by the FFD-Markov-chain model and the experimental data. This investigation further compared the FFD-Markov-chain model with the CFD-Eulerian model and CFD-Lagrangian model in terms of accuracy and efficiency. The accuracy of the FFD-Markov-chain model was similar to that of the other two models. For the two studied cases, the FFD-Markovchain model was 4.7 and 6.8 times faster, respectively, than the CFD-Eulerian model, and it was 137.4 and 53.3 times faster than the CFD-Lagrangian model in predicting the steady-state airflow and transient particle transport. Therefore, the FFD-Markov-chain model is able to greatly reduce the computing cost for predicting transient particle transport in indoor environments. computational fluid dynamics, indoor environment, Eulerian model, Lagrangian model, particle dispersion, aerosol dynamics Article History
Title: Modeling transient particle transport by fast fluid dynamics with the Markov chain method
[EX A]: True

[EX Q]: Paragraph: Theiler's murine encephalomyelitis virus (TMEV) establishes a persistent infection in the central nervous system (CNS). To examine the role of type I interferon (IFN-I)-mediated signals in TMEV infection, mice lacking a subunit of the type I IFN receptor (IFN-IR KO mice) were utilized. In contrast to wildtype mice, IFN-IR KO mice developed rapid fatal encephalitis accompanied with greater viral load and infiltration of immune cells to the CNS. The proportion of virus-specific CD4 + and CD8 + T cell responses in the CNS was significantly lower in IFN-IR KO mice during the early stage of infection. Levels of IFN- and IL-17 produced by isolated primed CD4 + T cells in response to DCs from TMEV-infected IFN-IRKO mice were also lower than those stimulated by DCs from TMEV-infected wildtype control mice. The less efficient stimulation of virus-specific T cells by virus-infected antigen presenting cells is attributable in part to the low level expression of activation markers on TMEV-infected cells from IFN-IR KO mice. However, due to high levels of cellular infiltration and viral loads in the CNS, the overall numbers of virus-specific T cells are higher in IFN-IR KO mice during the later stage of viral infection. These results suggest that IFN-I-mediated signals play important roles in controlling cellular infiltration to the CNS and shaping local T cell immune responses.
Title: TYPE I INTERFERON SIGNALS CONTROL THEILER'S VIRUS INFECTION SITE, CELLULAR INFILTRATION AND T CELL STIMULATION IN THE CNS
[EX A]:
True