A polydnavirus, Cotesia plutellae bracovirus (CpBV), is symbiotic to an endoparasitoid wasp, C. plutellae, which specifically parasitizes young larvae of the diamondback moth, Plutella xylostella. Parasitization by an endoparasitoid wasp, Cotesia plutellae, delays the larval development and metamorphosis in Plutella xylostella. Nutritional deprivation by the wasp may induce these developmental alterations in growing host. This study focussed on the change of insulin signaling of the parasitized host. The parasitized larvae exhibit a significant suppression in insulin-like peptide (ILP) expression, which was induced only by the injection of the CpBV. Reduced ILP expression significantly increased the blood sugar level (trehalose) level in the parasitized host, which was mimicked by starvation. Foxo was expressed in the parasitized larvae, but localized mostly in the nucleus. Overexpression of ILP gene in the parasitized larvae induced translation of Foxo to cytoplasm and significantly decreased trehalose level in the plasma. Interestingly, the overexpression of ILP gene significantly prevented the successful parasitization and allowed the host metamorphosis.

To improve the performance of wide-issue superscalar processors, it is essential to increase the width of instruction fetch and the issue rate. Removal of control hazard has been put forward as a significant new source of instruction-level parallelism for superscalar processors and the conditional branch prediction is an important technique for improving processor performance. Branch mispredictions, however, waste a large number of cycles, inhibit out-of-order execution, and waste electric power on mis-speculated instructions. Hence, the branch predictor with higher accuracy is necessary for good processor performance. In global-history-based predictors like gshare and GAg, many mispredictions come from commit update of the branch history. Some works on this subject have discussed the need for speculative update of the history and recovery mechanisms for branch mispredictions. In this paper, we present a new mechanism for recovering the branch history after a misprediction. The proposed mechanism adds an age_counter to the original predictor and doubles the size of the branch history register. The age_counter counts the number of outstanding branches and uses it to recover the branch history register. Simulation results on the SimpleScalar 3.0/PISA tool set and the SPECINT95 benchmarks show that gshare and GAg with the proposed recovery mechanism improved the average prediction accuracy by 2.14% and 9.21%, respectively and the average IPC by 8.75% and 18.08%, respectively over the original predictor.