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.

Ex Input:
Influenza A virus (IAV) is a major cause of respiratory illness. Given the disease severity, associated economic costs, and recent appearance of novel IAV strains, there is a renewed interest in developing novel and efficacious "universal" IAV vaccination strategies. Recent studies have highlighted that immunizations capable of generating local (i.e., nasal mucosa and lung) tissue-resident memory T and B cells in addition to systemic immunity offer the greatest protection against future IAV encounters. Current IAV vaccines are designed to largely stimulate IAV-specific antibodies, but do not generate the lung-resident memory T and B cells induced during IAV infections. Herein, we report on an intranasally administered biocompatible polyanhydride nanoparticle-based IAV vaccine (IAV-nanovax) capable of providing protection against subsequent homologous and heterologous IAV infections in both inbred and outbred populations. Our findings also demonstrate that vaccination with IAV-nanovax promotes the induction of germinal center B cells within the lungs, both systemic and lung local IAV-specific antibodies, and IAV-specific lung-resident memory CD4 and CD8 T cells. Altogether our findings show that an intranasally administered nanovaccine can induce immunity within the lungs, similar to what occurs during IAV infections, and thus could prove useful as a strategy for providing "universal" protection against IAV.

Ex Output:
a section of the journal Frontiers in Immunology Polyanhydride Nanovaccine Induces Robust Pulmonary B and T Cell Immunity and Confers Protection Against Homologous and Heterologous Influenza A Virus Infections


Ex Input:
Foot-and-mouth disease GIS OpenFOAM Livestock infectious diseases, such as foot-and-mouth disease (FMD), cause substantial economic damage to livestock farms and their related industries. Among various causes of disease spread, airborne dispersion has previously been considered to be an important factor that could not be controlled by preventive measures to stop the spread of disease that focus on direct and indirect contact. Forecasting and predicting airborne virus spread are important to make time for developing strategies and to minimise the damage of the disease. To predict the airborne spread of the disease a modelling approach is important since field experiments using sensors are ineffective because of the rarefied concentrations of virus in the air. The simulation of airborne spread during past outbreaks required improvement both for farmers and for policy decision makers. In this study a free license computational fluid dynamics (CFD) code was used to simulate airborne virus spread. Forecasting data from the Korea Meteorological Administration (KMA) was directly connected in the developed model for real-time forecasting for 48 h in three-hourly intervals. To reduce computation time, scalar transport for airborne virus spread was simulated based on a database for the CFD computed airflow in the investigated area using representative wind conditions. The simulation results, and the weather data were then used to make a database for a web-based forecasting system that could be accessible to users. ScienceDirect jo urnal homepage: www .e lsev ie r.com/ locate/issn/153 75110 b i o s y s t e m s e n g i n e e r i n g 1 2 9 ( 2 0 1 5 ) 1 6 9 e1 8 4 http://dx.

Ex Output:
Web-based forecasting system for the airborne spread of livestock infectious disease using computational fluid dynamics


Ex Input:
The viral ribonucleoprotein complex of human immunodeficiency virus-1 (HIV-1) associates with the viral Envelope (Env) to form infectious virions. While Env and Gag are known to migrate to lipid microdomains, their stoichiometry and specificity of interaction is not known. Here, we analyze the association of different viral glycoproteins, HIV Env and Ebola GP, with HIV-1 Gag protein co-expressed in the same cell. Though these two viral spikes were both expressed, each associated independently with Gag and gave rise to two distinct virion populations, each with a spike of a single type. Confocal imaging demonstrated that HIV Env 89.6 and Ebola GP localized to distinct lipid raft microdomains within the same cell, where each associated with distinct Gag particles. Similar Env localization was observed in HIV-infected T cells, where ~14 percent of Env was associated with Gag during productive infection. Together, these data suggest that a single Gag complex associates "quantally" with an individual lipid raft microdomain to assemble functional virions during infection.

Ex Output:

Quantal formation of lentiviruses in cells: segregation of viral glycoproteins to lipid rafts that associate individually with HIV-1 Capsids