In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
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Question: Background. The severe acute respiratory syndrome (SARS) epidemic that occurred in Hong Kong in 2003 caused serious public health consequences. Its impacts on health-seeking behaviors of the general public have not been assessed. Methods. Two cross-sectional, random telephone surveys interviewed 1603 Hong Kong adult residents in the post-SARS epidemic period, June and September 2003 to investigate changes in the post-SARS period. Results. Noteworthy percentages of the respondents self-reported increased frequencies of practicing favorable health-seeking behaviors in June 2003, as compared with the pre-SARS period. Few respondents reported the opposite. This was observed in different dimensions: health services seeking, adoption of healthier lifestyle, spending more resources on health, adoption of good personal hygiene, mask use when ill with influenza, and avoidance of risk behaviors. The frequencies of practicing most of these health-seeking behaviors, as measured in June and September 2003, were comparable. Further increases in healthy diet and weight control, etc., were observed during that period. Those who worried about contracting SARS were more likely to have improved health-seeking behaviors. Conclusions. The community in Hong Kong responded to the SARS epidemic by practicing more favorable health-seeking behaviors. Public health workers should utilize these opportunities to foster favorable changes. D

Answer: Impacts of SARS on health-seeking behaviors in general population in Hong Kong


Question: Association of targeted multiplex PCR with resequencing microarray for the detection of multiple respiratory pathogens. Front. Microbiol. 6:532. A large number of viral and bacterial organisms are responsible for community-acquired pneumonia (CAP) which contributes to substantial burden on health management. A new resequencing microarray (RPM-IVDC1) associated with targeted multiplex PCR was recently developed and validated for multiple respiratory viruses detection and discrimination. In this study, we evaluated the capability of RPM-IVDC1 for simultaneous identification of multiple viral and bacterial organisms. The nasopharyngeal aspirates (NPAs) of 110 consecutive CAP patients, aged from 1 month to 96 years old, were collected from five distinct general hospitals in Beijing during 1-year period. The samples were subjected to the RPM-IVDC1 established protocol as compared to a real-time PCR (qRT-PCR), which was used as standard. The results of virus detection were consistent with those previously described. A total of 37 of Streptococcus pneumoniae, 14 of Haemophilus influenzae, 10 of Mycoplasma pneumoniae, two of Klebsiella pneumoniae and one of Moraxella catarrhalis were detected by RPM-IVDC1. The sensitivities and specificities were compared with those of qRT-PCR for S. pneumoniae (100, 100%, respectively), H. influenzae (92.3, 97.9%, respectively), M. pneumoniae (69.2, 99.0%, respectively), K. pneumoniae (100, 100%, respectively), and M. catarrhalis (100, 100%, respectively). Additional 22 of Streptococcus spp., 24 of Haemophilus spp. and 16 of Neisseria spp. were identified. In addition, methicillin-resistant and carbapenemases allele were also found in nine of Staphylococcus spp. and one of K. pneumoniae, respectively. These results demonstrated the capability of RPM-IVDC1 for simultaneous detection of broad-spectrum respiratory pathogens in complex backgrounds and the advantage of accessing to the actual sequences, showing great potential use of epidemic outbreak investigation. The detection results should be carefully interpreted when introducing this technique in the clinical diagnostics.

Answer: Association of targeted multiplex PCR with resequencing microarray for the detection of multiple respiratory pathogens


Question: RNA-protein interactions (RPIs) play a very important role in a wide range of post-transcriptional regulations, and identifying whether a given RNA-protein pair can form interactions or not is a vital prerequisite for dissecting the regulatory mechanisms of functional RNAs. Currently, expensive and time-consuming biological assays can only determine a very small portion of all RPIs, which calls for computational approaches to help biologists efficiently and correctly find candidate RPIs. Here, we integrated a successful computing algorithm, conjoint triad feature (CTF), and another method, chaos game representation (CGR), for representing RNA-protein pairs and by doing so developed a prediction model based on these representations and random forest (RF) classifiers. When testing two benchmark datasets, RPI369 and RPI2241, the combined method (CTF+CGR) showed some superiority compared with four existing tools. Especially on RPI2241, the CTF+CGR method improved prediction accuracy (ACC) from 0.91 (the best record of all published works) to 0.95. When independently testing a newly constructed dataset, RPI1449, which only contained experimentally validated RPIs released between 2014 and 2016, our method still showed some generalization capability with an ACC of 0.75. Accordingly, we believe that our hybrid CTF+CGR method will be an important tool for predicting RPIs in the future.

Answer:
Prediction of RNA-protein interactions using conjoint triad feature and chaos game representation