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".

Input: Consider Input: Paragraph: The NIAID (National Institute for Allergy and Infectious Diseases) Biodefense Proteomics program aims to identify targets for potential vaccines, therapeutics, and diagnostics for agents of concern in bioterrorism, including bacterial, parasitic, and viral pathogens. The program includes seven Proteomics Research Centers, generating diverse types of pathogen-host data, including mass spectrometry, microarray transcriptional profiles, protein interactions, protein structures and biological reagents. The Biodefense Resource Center (www.proteomicsresource.org) has developed a bioinformatics framework, employing a protein-centric approach to integrate and support mining and analysis of the large and heterogeneous data. Underlying this approach is a data warehouse with comprehensive protein + gene identifier and name mappings and annotations extracted from over 100 molecular databases. Value-added annotations are provided for key proteins from experimental findings using controlled vocabulary. The availability of pathogen and host omics data in an integrated framework allows global analysis of the data and comparisons across different experiments and organisms, as illustrated in several case studies presented here. (1) The identification of a hypothetical protein with differential gene and protein expressions in two host systems (mouse macrophage and human HeLa cells) infected by different bacterial (Bacillus anthracis and Salmonella typhimurium) and viral (orthopox) pathogens suggesting that this protein can be prioritized for additional analysis and functional characterization. (2) The analysis of a vaccinia-human protein interaction network supplemented with protein accumulation levels led to the identification of human Keratin, type II cytoskeletal 4 protein as a potential therapeutic target. (3) Comparison of complete genomes from pathogenic variants coupled with experimental information on complete proteomes allowed the identification and prioritization of ten potential diagnostic targets from Bacillus anthracis. The integrative analysis across data sets from multiple centers can reveal potential functional significance and hidden relationships between pathogen and host proteins, thereby providing a systems approach to basic understanding of pathogenicity and target identification. 
 Title: Systems Integration of Biodefense Omics Data for Analysis of Pathogen-Host Interactions and Identification of Potential Targets

Output: False


Input: Consider Input: Paragraph: Multiple sclerosis (MS) is a central nervous system (CNS) disease characterized by chronic neuroinflammation, demyelination, and axonal damage. Infiltration of activated lymphocytes and myeloid cells are thought to be primarily responsible for white matter damage and axonopathy. Over time, this neurologic damage manifests clinically as debilitating motor and cognitive symptoms. Existing MS therapies focus on symptom relief and delay of disease progression through reduction of neuroinflammation. However, long-term strategies to remyelinate, protect, or regenerate axons have remained elusive, posing a challenge to treating progressive forms of MS. Preclinical mouse models and techniques, such as immunohistochemistry, flow cytometry, and genomic and proteomic analysis have provided advances in our understanding of discrete time-points of pathology following disease induction. More recently, in vivo and in situ two-photon (2P) microscopy has made it possible to visualize continuous real-time cellular behavior and structural changes occurring within the CNS during neuropathology. Research utilizing 2P imaging to study axonopathy in neuroinflammatory demyelinating disease has focused on five areas: (1) axonal morphologic changes, (2) organelle transport and health, (3) relationship to inflammation, (4) neuronal excitotoxicity, and (5) regenerative therapies. 2P imaging may also be used to identify novel therapeutic targets via identification and clarification of dynamic cellular and molecular mechanisms of axonal regeneration and remyelination. Here, we review tools that have made 2P accessible for imaging neuropathologies and advances in our understanding of axonal degeneration and repair in preclinical models of demyelinating diseases. Abbreviations: 2d2, MOG peptide 35-55 TCR transgenic; APP, amyloid precursor protein; ATP, adenosine triphosphate; CerTN-L15, troponin C expressing Ca 2+ sensing transgenic animal; CFP, cyan fluorescent protein; EAE, experimental autoimmune/allergic encephalomyelitis; EB3, end-binding protein 3; FAD, focal axonal degeneration; FRET, Förster resonance energy transfer; GECI, genetically encoded Ca 2+ indicator; GFP, green fluorescent protein; JHMV, John Howard Mueller strain of murine hepatitis virus; LFB, Luxol fast blue; MHC, major histocompatibility complex; MOG, myelin oligodendrocyte glycoprotein; MRI, magnetic resonance imaging; MRS, magnetic resonance spectroscopy; MS, multiple sclerosis; NAWM, normal appearing white matter; NPC, neural precursor cell; OT-2, ovalbumin peptide 323-339 TCR transgenic-binding MHC Class II; PLP, proteolipid protein (promoter for mature oligodendrocytes); RAG, recombination activating-gene; RFP, red fluorescent protein; RNS, reactive nitrogen species; ROS, reactive oxygen species; SMI31, Sternberger monoclonal incorporated monoclonal antibody 31; SMI32, Sternberger monoclonal incorporated monoclonal antibody 32; TCR, T-cell receptor; Thy1, thymocyte antigen 1 (promoter for neuron subset); TMEV, Theiler's murine encephalomyelitis virus; TN-XXL, troponin C expressing Ca 2+ sensing transgenic animal; XFP, "X" fluorescent protein (any spectral variant of GFP); YFP, yellow fluorescent protein. 
 Title: Article 189 1 Citation: Yandamuri SS and Lane TE (2016) Imaging Axonal Degeneration and Repair in Preclinical Animal Models of Multiple Sclerosis

Output: False


Input: Consider Input: Paragraph: Chest X-ray is a "golden standard" for the diagnosis and severity assessment of community-acquired pneumonia (CAP). However, it cannot be used as routine examination of CAP in children. The present study aims to investigate the roles of prealbumin (PA) in CAP in children and further determine the usefulness of PA in diagnosis and severity assessment of CAP in children. This was a retrospective analysis of 174 cases of hospitalized children with CAP. The following indicators were recorded: vital sign, inflammatory indexes, PA, and respiratory pathogens immunoglobulin M antibody test results. A total of 33 healthy children were selected as the control group. The results of laboratory tests between CAP and control groups were compared. CAP group was further divided into mild CAP and severe CAP groups, and vital signs and laboratory examination results of 2 groups were compared. The total positive rate of Mycoplasma pneumoniae in this study was 27.4%, and there was no significant difference in different seasons (P = 0.356). Compared with controls, there was no significant difference between procalcitonin and C-reactive protein in CAP group (P = 0.355, 0.061). The white blood cell count, percentage of neutrophils, neutrophil count, and erythrocyte sedimentation rate in the CAP group were significantly higher than those in control group, and PA was significantly lower than that in the control group (all P < 0.05). In the traditional cutoff value (<170 mg/L), the sensitivity of PA for the diagnosis of CAP was 0.847, which was significant higher than traditional inflammatory indicators. Moreover, it was found that PA was an independent protective factor for CAP in children based on multivariate analysis (odds ratio: 0.974; 95% confidence interval: 0.956-0.993; P = 0.008). PA level in severe CAP group was significantly lower than in mild CAP group (P = 0.001). With a cutoff value of 125 mg/L, the sensitivity and specificity of PA for the severity assessment of CAP were 0.703 and 0.714, respectively. Combined with traditional inflammatory markers, PA may improve the diagnostic efficacy of CAP in children. PA can be used as a reference marker to complement the chest X-rays for severity assessment of children CAP. Abbreviations: CAP = community-acquired pneumonia, CRP = C-reactive protein, ESR = erythrocyte sedimentation rate, LRI = lower respiratory infections, MP = Mycoplasma pneumoniae, PA = prealbumin, PCT = procalcitonin, RR = respiratory rate, WBC = white blood cell count. 
 Title: Valuable hematological indicators for the diagnosis and severity assessment of Chinese children with community-acquired pneumonia


Output: True