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".

[Q]: Paragraph: So far, there has been scarce information about the status of immunoglobulins (Ig) and the gene expression of inflammatory cytokines in buffaloes showing digestive troubles. The purpose of the present study was to explore the modulation of gene expression of some immuneinflammatory markers in buffaloes suffered from various digestive disorders. For this reason, 50 native breed water buffaloes were studied. Forty of these buffaloes showed various symptoms of digestive disorders and were allocated into 4 groups of equal sizes (group 1: uncategorized stomatitis; group 2: acute traumatic reticuloperitonitis [TRR]; group 3: acute rumen impaction; and group 4: undifferentiated enteritis). Ten apparently healthy buffaloes were randomly selected and considered as a control group. RNA was firstly extracted from the whole blood then a reverse transcription kits was used to convert the RNA to cDNA. Real-time PCR was used to measure the expression of mRNAs of interleukin (IL)-1β, IL-6, IL-10, and tumor necrosis factor (TNF)-α, IgG, and IgA, while glyceraldehyde-3-phosphate dehydrogenase (GAPDH) used as an internal reference. The results of realtime PCR revealed a significant (P ≤ 0.05) upregulation of the gene expression of IL-1β, IL-6, IL-10, and TNF-α in blood of diseased buffaloes compared with those of controls. Animals showing acute TRP had peak values of both IL-6 and IL-10; while those exhibiting enteritis and rumen impaction had the highest values of IL-1β and TNF-α, respectively. The results of qPCR also revealed a significant (P ≤ 0.05) downregulation of both IgG and IgA gene expression in blood of all diseased buffaloes compared with controls. The lowest values of both genes were recorded in buffaloes showing acute TRP. The results herein suggest that the tested genes could have a pivotal role in the pathophysiologic mechanism of the underlying diseases. 
 Title: Modulation of immunity and inflammatory gene expression in buffalo (Bubalus bubalis) with some digestive disorders
[A]: True


[Q]: Paragraph: Background 3 In silico bacterial, viral, and human truth datasets were generated to evaluate available metagenomics 4 algorithms. Sequenced datasets include background organisms, creating ambiguity in the true 5 source organism for each read. Bacterial and viral datasets were created with even and staggered 6 coverage to evaluate organism identification, read mapping, and gene identification capabilities of 7 available algorithms. These truth datasets are provided as a resource for the development and 8 refinement of metagenomic algorithms. Algorithm performance on these truth datasets can inform 9 decision makers on strengths and weaknesses of available algorithms and how the results may be best 10 leveraged for bacterial and viral organism identification and characterization. 11 12 Source organisms were selected to mirror communities described in the Human Microbiome Project as 13 well as the emerging pathogens listed by the National Institute of Allergy and Infectious Diseases. The 14 six in silico datasets were used to evaluate the performance of six leading metagenomics algorithms: 15 MetaScope, Kraken, LMAT, MetaPhlAn, MetaCV, and MetaPhyler. 16 Results Algorithms were evaluated on runtime, true positive organisms identified to the genus and species 19 levels, false positive organisms identified to genus and species level, read mapping, relative abundance 20 estimation, and gene calling. No algorithm out performed the others in all categories, and the 21 algorithm or algorithms of choice strongly depends on analysis goals. MetaPhlAn excels for bacteria 22 and LMAT for viruses. The algorithms were ranked by overall performance using a normalized 23 weighted sum of the above metrics, and MetaScope emerged as the overall winner, followed by Kraken 24 and LMAT. 25 Conclusions 27 Simulated FASTQ datasets with well--characterized truth data about microbial community composition 28 reveal numerous insights about the relative strengths and weaknesses of the metagenomics algorithms 29 evaluated. The simulated datasets are available to download from the Sequence Read Archive 30 (SRP062063). 31 32 
 Title: Evaluating performance of metagenomic characterization algorithms using in silico datasets generated with FASTQSim
[A]: False


[Q]: Paragraph: Since mid-December of 2019, coronavirus disease 2019 (COVID-19) has been spreading from Wuhan, China. The confirmed COVID-19 patients in South Korea are those who came from or visited China. As secondary transmissions have occurred and the speed of transmission is accelerating, there are rising concerns about community infections. The 54-year old male is the third patient diagnosed with COVID-19 in Korea. He is a worker for a clothing business and had mild respiratory symptoms and intermittent fever in the beginning of hospitalization, and pneumonia symptoms on chest computerized tomography scan on day 6 of admission. This patient caused one case of secondary transmission and three cases of tertiary transmission. Hereby, we report the clinical findings of the index patient who was the first to cause tertiary transmission outside China. Interestingly, after lopinavir/ritonavir (Kaletra, AbbVie) was administered, β-coronavirus viral loads significantly decreased and no or little coronavirus titers were observed. 
 Title: Brief Communication
[A]:
True