TASK DEFINITION: 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".
PROBLEM: Paragraph: Viral bronchiolitis is a common clinical syndrome aff ecting infants and young children. Concern about its associated morbidity and cost has led to a large body of research that has been summarised in systematic reviews and integrated into clinical practice guidelines in several countries. The evidence and guideline recommendations consistently support a clinical diagnosis with the limited role for diagnostic testing for children presenting with the typical clinical syndrome of viral upper respiratory infection progressing to the lower respiratory tract. Management is largely supportive, focusing on maintaining oxygenation and hydration of the patient. Evidence suggests no benefi t from bronchodilator or corticosteroid use in infants with a fi rst episode of bronchiolitis. Evidence for other treatments such as hypertonic saline is evolving but not clearly defi ned yet. For infants with severe disease, the insuffi cient available data suggest a role for high-fl ow nasal cannula and continuous positive airway pressure use in a monitored setting to prevent respiratory failure.
Title: Viral bronchiolitis

SOLUTION: True

PROBLEM: 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

SOLUTION: False

PROBLEM: Paragraph: Positive-strand RNA viruses are known to rearrange cellular membranes to facilitate viral genome replication. The biogenesis and three-dimensional organization of these membranes and the link between replication and virus assembly sites is not fully clear. Using electron microscopy, we find Dengue virus (DENV)-induced vesicles, convoluted membranes, and virus particles to be endoplasmic reticulum (ER)-derived, and we detect double-stranded RNA, a presumed marker of RNA replication, inside virusinduced vesicles. Electron tomography (ET) shows DENV-induced membrane structures to be part of one ER-derived network. Furthermore, ET reveals vesicle pores that could enable release of newly synthesized viral RNA and reveals budding of DENV particles on ER membranes directly apposed to vesicle pores. Thus, DENV modifies ER membrane structure to promote replication and efficient encapsidation of the genome into progeny virus. This architecture of DENV replication and assembly sites could explain the coordination of distinct steps of the flavivirus replication cycle.
Title: Composition and Three-Dimensional Architecture of the Dengue Virus Replication and Assembly Sites

SOLUTION:
True