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: Successful vaccine development remains a huge challenge for infectious diseases such as malaria, HIV and influenza. As a novel way to present antigenic epitopes to the immune system, we have developed icosahedral self-assembling protein nanoparticles (SAPNs) to serve as a prototypical vaccine platform for infectious diseases. Here we examine some biophysical factors that affect the self-assembly of these nanoparticles, which have as basic building blocks coiled-coil oligomerization domains joined by a short linker region. Relying on in silico computer modeling predictions, we selected five different linker regions from the RCSB protein database that connect oligomerization domains, and then further studied the self-assembly and stability of in vitro produced nanoparticles through biophysical characterization of formed particles. One design in particular, T2i88, revealed excellent self-assembly and homogeneity thus paving the way toward a more optimized nanoparticle for vaccine applications. From the Clinical Editor: Despite the widespread use of vaccines worldwide, successful development of vaccines against some diseases remains a challenge still. In this article, the authors investigated the physic-chemical and biological properties of icosahedral self-assembling protein nanoparticles (SAPNs), which mimic viral particles, in order to utilize this technology as potential platform for future design of vaccines. 
 Title: Optimizing the design of protein nanoparticles as carriers for vaccine applications

SOLUTION: False

PROBLEM: Paragraph: LETTERS that the quantitative assessment of the effectiveness of public health intervention measures for SARS is a difficult task for modelers. To make models useful for assessing the effects of specific intervention measures and for predicting the future dynamics during an ongoing epidemic, we need improved knowledge on the transmission mechanisms, pathogenesis, and the epidemiologic determinants of the spread of the virus. Any retrospective analysis of the 2003 SARS epidemic that improves our knowledge of SARS epidemiology is welcome. 
 Title: SARS epi-demiology and cumulative case curve

SOLUTION: False

PROBLEM: Paragraph: Background: Patients with respiratory or gastrointestinal illness in emergency care settings are often not yet diagnosed but are at risk of transmitting disease. Infection control algorithms delineating a standard approach to patient management decrease risk of secondary exposure, but few articles document health care workers' (HCWs) perceptions as to their effectiveness and ease of implementation. Methods: A cross-sectional survey approach was used to explore HCWs perceptions in 2 emergency departments of the current algorithms for management of potentially infectious respiratory and gastrointestinal illnesses. Results: Surveys from 96 HCWs revealed that algorithms were perceived as invaluable in protecting staff, patients, and colleagues. Differences in self-reported compliance, clarity, and ease of implementation of the respiratory algorithm were noted between facilities, likely reflecting variation in the physical plant. Physicians scored significantly lower for compliance with the respiratory algorithm. Conclusion: Algorithms were perceived to offer a clear and consistent approach to patient management and protect HCWs in spite of environmental and resource limitations. 
 Title: Health care workers' perceptions of respiratory and gastrointestinal algorithms for patient management in emergency care settings

SOLUTION:
True