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.

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

Sixteen longSAGE libraries from four different clinical stages of cervical intraepithelial neoplasia have enabled us to identify novel cell-surface biomarkers indicative of CIN stage. By comparing gene expression profi les of cervical tissue at early and advanced stages of CIN, several genes are identifi ed to be novel genetic markers. We present fi fty-six cell-surface gene products differentially expressed during progression of CIN. These cell surface proteins are being examined to establish their capacity for optical contrast agent binding. Contrast agent visualization will allow real-time assessment of the physiological state of the disease process bringing vast benefi t to cancer care. The data discussed in this publication have been submitted to NCBIs Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) and are accessible through GEO Series accession number GSE6252.
Using LongSAGE to Detect Biomarkers of Cervical Cancer Potentially Amenable to Optical Contrast Agent Labelling

The leader RNA of the 5 untranslated region (UTR) of coronaviral genomes contains two stem-loop structures denoted SL1 and SL2. Herein, we show that SL1 is functionally and structurally bipartite. While the upper region of SL1 is required to be paired, we observe strong genetic selection against viruses that contain a deletion of A35, an extrahelical nucleotide that destabilizes SL1, in favor of genomes that contain a diverse panel of destabilizing second-site mutations, due to introduction of a noncanonical base pair near A35. Viruses containing destabilizing SL1-A35 mutations also contain one of two specific mutations in the 3 UTR. Thermal denaturation and imino proton solvent exchange experiments reveal that the lower half of SL1 is unstable and that second-site SL1-A35 substitutions are characterized by one or more features of the wild-type SL1. We propose a "dynamic SL1" model, in which the base of SL1 has an optimized lability required to mediate a physical interaction between the 5 UTR and the 3 UTR that stimulates subgenomic RNA synthesis. Although not conserved at the nucleotide sequence level, these general structural characteristics of SL1 appear to be conserved in other coronaviral genomes.
Structural Lability in Stem-Loop 1 Drives a 5 UTR-3 UTR Interaction in Coronavirus Replication