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.

[Q]: Context: Cicatricial alopecia is a form of hair loss that causes both cosmetic and psychological concerns. Although tissue expanders are the common approach to reconstruction, no algorithm exists in the literature for this process. In this study, it was aimed to create an algorithm for the reconstruction of lateral scalp alopecias with the goal to achieve better and standardized results.', 'Lateral scalp alopecias were divided into three groups: total lateral alopecia (type I), temporal and sideburn alopecia (type II), and sideburn alopecia (type III). Tissue expanders were placed at the parieto-occipital area in type I defects, parietal area in type II defects, and the temporal region in type III defects. Tissue expanders were used to create flaps that were advanced with 60° rotation, 90° rotation, and no rotation for type I, II, and III defects, respectively.', 'Fifteen patients were treated with this algorithm. Using this simple approach, we achieved natural, standardized aesthetic results for each patient, all of whom were satisfied with the final results.\Question: Do our experiences on the reconstruction of lateral scalp burn alopecia with tissue expanders?
[A]: Although the number of case were limited, the ideal and standardized cosmetic results could be obtained by this approach.


[Q]: 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?
[A]: 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.


[Q]: Context: Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to characterize the HCV strains circulating, analyze their genetic relatedness to detect networks, and in combination with demographic data learn more about transmission.", 'Molecular analyses of serum samples from 91% (N=557) of all newly notified cases in D-county, 2002-2009, were performed. Phylogenetic analysis (NS5B gene, 300 bp) was linked to demographic data from the national surveillance database, SmiNet, to characterize D-county transmission clusters. The linear-by-linear association test (LBL) was used to analyze trends over time.', 'The most prevalent subtypes were 1a (38%) and 3a (34%). Subtype 1a was most prevalent among cases transmitted via sexual contact, via contaminated blood, or blood products, while subtype 3a was most prevalent among people who inject drugs (PWIDs). Phylogenetic analysis revealed that the subtype 3a sequences formed more and larger transmission clusters (50% of the sequences clustered), while the 1a sequences formed smaller clusters (19% of the sequences clustered), possibly suggesting different epidemics.\Question: Does molecular characterization of HCV in a Swedish county over 8 years ( 2002-2009 ) reveal distinct transmission patterns?
[A]:
We found different transmission patterns in D-county which may, from a public health perspective, have implications for how to control virus infections by targeted interventions.