In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Example Input: Context: RNA editing is the process whereby an RNA sequence is modified from the sequence of the corresponding DNA template. In the mitochondria of land plants, some cytidines are converted to uridines before translation. Despite substantial study, the molecular biological mechanism by which C-to-U RNA editing proceeds remains relatively obscure, although several experimental studies have implicated a role for cis-recognition. A highly non-random distribution of nucleotides is observed in the immediate vicinity of edited sites (within 20 nucleotides 5' and 3'), but no precise consensus motif has been identified.", "Data for analysis were derived from the the complete mitochondrial genomes of Arabidopsis thaliana, Brassica napus, and Oryza sativa; additionally, a combined data set of observations across all three genomes was generated. We selected datasets based on the 20 nucleotides 5' and the 20 nucleotides 3' of edited sites and an equivalently sized and appropriately constructed null-set of non-edited sites. We used tree-based statistical methods and random forests to generate models of C-to-U RNA editing based on the nucleotides surrounding the edited/non-edited sites and on the estimated folding energies of those regions. Tree-based statistical methods based on primary sequence data surrounding edited/non-edited sites and estimates of free energy of folding yield models with optimistic re-substitution-based estimates of approximately 0.71 accuracy, approximately 0.64 sensitivity, and approximately 0.88 specificity. Random forest analysis yielded better models and more exact performance estimates with approximately 0.74 accuracy, approximately 0.72 sensitivity, and approximately 0.81 specificity for the combined observations.\Question: Do simple statistical models predict C-to-U edited sites in plant mitochondrial RNA?
Example Output: Simple models do moderately well in predicting which cytidines will be edited to uridines, and provide the first quantitative predictive models for RNA edited sites in plant mitochondria. Our analysis shows that the identity of the nucleotide -1 to the edited C and the estimated free energy of folding for a 41 nt region surrounding the edited C are the most important variables that distinguish most edited from non-edited sites. However, the results suggest that primary sequence data and simple free energy of folding calculations alone are insufficient to make highly accurate predictions.

Example Input: Context: Animal models for hepatic metastases can facilitate the investigation of lymphokine-activated killer (LAK) cell-based immunotherapy. The aim of this study was to investigate the efficacy of ccM4 antibody-targeted LAK cells in inhibiting hepatic micrometastases.', 'Hepatic micrometastases were generated after the intrasplenic injection of HM7 colon carcinoma cells. TAG72 expression was detected in these hepatic micrometastases using ccM4 antibody. The ccM4 antibody was conjugated onto LAK cells by treatment with 17.5% polyethylene glycol 8000. After the intrasplenic injection of HM7 cells, severe combined immunodeficient mice were randomized into five groups (i-v) and received either 10(7) ccM4-LAK cells plus 1000 U interleukin 2 (IL-2; group i), LAK cells plus 50 micrograms ccM4 and IL-2 (group ii), LAK cells plus IL-2 (group iii), IL-2 alone (group iv), or only phosphate-buffered saline (group v).', 'The ccM4-LAK cells retained cytolytic activity and acquired TAG72-binding reactivity. The results showed that group i had significantly fewer hepatic metastases compared with group ii or group iii (P < 0.05) and even fewer hepatic metastases compared with group iv or group v (P < 0.001).\Question: Do antibody-targeted lymphokine-activated killer cells inhibit liver micrometastases in severe combined immunodeficient mice?
Example Output: These results show that ccM4 antibody-targeted LAK cells significantly inhibited tumor growth in vivo; thus, they can be potentially useful in treatment of hepatic micrometastases.

Example Input: Context: Prediction of prognosis after liver transplantation (OLT) remains difficult. The present study determines if standard laboratory parameters measured within the first week after OLT correlate with outcome.', 'Laboratory parameters measured within the first weak after OLT of 328 patients were grouped either graft loss or death within 90 days after (group 1: graft loss; group 2: death; group 3: neither graft loss nor death within 90 days).', 'Peak AST and ALT were significantly lower in group 3 (1867 and 1252 U/L) than in group 1 (4474 and 2077 U/L) or 2 (3121 and 1865 U/L). Bilirubin was significantly lower and gamma-GT significantly higher in group 3 compared to groups 1 and 2. In multivariate analysis, high AST peaks were independently associated with death or graft loss within 90 days. An increase in gamma-GT and low bilirubin early after transplantation were found to be independently associated with superior outcome.\Question: Are an early increase in gamma glutamyltranspeptidase and low aspartate aminotransferase peak values associated with superior outcomes after orthotopic liver transplantation?
Example Output:
Unexpectedly, a disproportionate rise in gamma-GT was associated with graft and patient survival of more than 90 days. This might be explained by regeneration phenomena in the liver indicative of a well functioning graft.