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.

Example Input: To investigate the efficacy of intracerebral (IC) immunization in preventing viral spread in the brain, we immunized mice with inactivated rabies virus via the subcutaneous (SC) or IC route, followed by administration of a lethal dose of rabies virus (challenge virus standard strain), directly into the brains of immunized mice. Progressive paralytic neurological signs were observed in control and 75% of SC immunized mice, whereas only 20% of IC immunized mice exhibited symptoms. Neutralizing antibody titers in blood plasma were significantly elevated in SC and IC immunized mice, with the highest levels seen in IC immunized mice. Analysis of whole brain lysates revealed a strong induction of immunoglobulin in the brains of IC immunized mice that had virus neutralizing activity. Histopathological examination of brain tissue revealed mild encephalitis and disseminated viral antigen in control and SC immunized mice, but rare in IC immunized mice. These results suggest that IC immunization induces a preventive humoral immune response against intracerebrally inoculated rabies virus. Induction of neutralizing antibody in cerebrospinal fluid represents a putative therapeutic measure for the treatment of rabid animals and humans.
Example Output: Intracerebral vaccination suppresses the spread of rabies virus in the mouse brain

Example Input: Estimating temporal changes in a target population from phylogenetic or count data is an important problem in ecology and epidemiology. Reliable estimates can provide key insights into the climatic and biological drivers influencing the diversity or structure of that population and evidence hypotheses concerning its future growth or decline. In infectious disease applications, the individuals infected across an epidemic form the target population. The renewal model estimates the effective reproduction number, R, of the epidemic from counts of its observed cases. The skyline model infers the effective population size, N, underlying a phylogeny of sequences sampled from that epidemic. Practically, R measures ongoing epidemic growth while N informs on historical caseload. While both models solve distinct problems, the reliability of their estimates depends on p-dimensional piecewise-constant functions. If p is misspecified, the model might underfit significant changes or overfit noise and promote a spurious understanding of the epidemic, which might misguide intervention policies or misinform forecasts. Surprisingly, no transparent yet principled approach for optimising p exists. Usually, p is heuristically set, or obscurely controlled via complex algorithms. We present a computable and interpretable p-selection method based on the minimum description length (MDL) formalism of information theory. Unlike many standard model selection techniques, MDL accounts for the additional statistical complexity induced by how parameters interact. As a result, our method optimises p so that R and N estimates properly adapt to the available data. It also outperforms comparable Akaike and Bayesian information criteria on several classification problems. Our approach requires some knowledge of the parameter space and exposes the similarities between renewal and skyline models.
Example Output: Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline Models

Example Input: MRNA2 of the arteriviruses lactate dehydrogenase-elevating virus (LDV) and equine arteritis virus (EAV) encodes two proteins that are read in different frames, an about 26 kDa minor envelope glycoprotein and an about 8 kDa protein that lacks N-glycosylation sites and a signal peptide, but possesses a central hydrophobic segment. Recent studies have shown that both proteins of EAV are translated from mRNA 2 in EAV infected BHK cells, that the 8 kDa protein is membrane associated and that small amounts of it are recovered in purified virions (Snijder, E.J., van Tol, H., Pederson, K.W., Raamsman, M.J.B., de Vries, A.A.F., 1999. Identification of a novel structural protein of arteriviruses. J. Virol. 73, 6335-6345). The authors concluded that the 8 kDa protein is another arterivirus envelope protein and designated it E protein. However, we have not detected a significant level of an 8 kDa protein in LDV virions and thus conclude that it is not a structural virion component.
Example Output:
An ORF-2a protein is not present at a significant level in virions of the arterivirus lactate dehydrogenase-elevating virus