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.

Input: Consider Input: IFITM3 restricts cellular infection by multiple important viral pathogens, and is particularly critical for the innate immune response against influenza virus. Expression of IFITM3 expands acidic endolysosomal compartments and prevents fusion of endocytosed viruses, leading to their degradation. This small, 133 amino acid, antiviral protein is controlled by at least four distinct post-translational modifications. Positive regulation of IFITM3 antiviral activity is provided by Spalmitoylation, while negative regulatory mechanisms include lysine ubiquitination, lysine methylation and tyrosine phosphorylation. Herein, we describe specific insights into IFITM3 trafficking and activity that were provided by studies of IFITM3 post-translational modifications, and discuss evidence suggesting that IFITM3 adopts multiple membrane topologies involving at least one intramembrane domain in its antivirally active conformation.

Output: Regulation of the trafficking and antiviral activity of IFITM3 by post-translational modifications


Input: Consider Input: The infectious autopsy is the postmortem examination of a decedent who is likely to have a serious infectious disease that can be transmitted at autopsy. Human immunodeficiency virus (HIV), viral hepatitis B and C, and tuberculosis infections are common in forensic autopsy populations. Autopsy and laboratory personnel are at risk for acquiring these postmortem infections. As the autopsy often is essential to determine the cause and manner of death and/or help the living, the use of certain standard precautions can minimize the risk of occupational infections. This chapter reviews frequently encountered occupational infections and provides preventive measures including postexposure management.

Output: Autopsy: Infectious and Serious Communicable Diseases


Input: Consider Input: This article employs a state-of-the-art panel threshold model by allowing for regime intercepts, in order to shed new light on the asymmetric/ nonlinear effects of local and global sentiments on expected industry stock returns among 11 Asian countries during the period from 1996 to 2010. Empirical evidence demonstrates that once the regime intercept is included, the asymmetric effects of global sentiment on oil & gas, financials, and health care industry returns become less under optimism, as compared with under pessimism. More critically, the positive (negative) impact of global sentiment above (under) the threshold turns significant, indicating that global optimism leads industry returns to be overvalued, while pessimism leads them to be undervalued. For local market sentiment, our results support that higher local sentiment enhances the returns of basic materials, telecommunications, and utilities industries. The empirical results confirm that the nexus of industry returns and investor sentiments is subject to change between different sentimental intervals.


Output: Asymmetric effects of investor sentiment on industry stock returns: Panel data evidence