Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.

[EX Q]: Baseline carbohydrate antigen 19-9 (CA 19-9) is a useful prognostic marker in pancreatic ductal adenocarcinoma (PDA); however, data on the significance of a change in CA 19-9 following neoadjuvant therapy are lacking.', "All patients receiving neoadjuvant therapy for PDA from July 2010 to February 2013 were retrospectively reviewed. Resection rate, R0 resection rate, need for venous resection, and overall survival were correlated to CA 19-9 response. Fisher's exact test, Kaplan-Meier survival analysis, and multivariate analysis using Cox regression were used.", 'A total of 78 patients were studied (21 patients with resectable disease, 40 borderline resectable, and 17 with locally advanced disease). A variety of chemotherapies ± radiation were utilized during the study period. Overall, 56 patients (72 %) had a decrease in CA 19-9 of >50 % with neoadjuvant treatment. In borderline resectable patients, CA 19-9 response of >50 % predicted R0 resection (odds ratio 4.2; p = 0.05). In borderline resectable patients who had an increase in CA 19-9, none of five (0 %) underwent R0 resection compared with 80 % of the remaining cohort (p = 0.001). The complete pathologic response rate was 29 % in patients who had a CA 19-9 response of >90 % versus 0 % in the remaining patients (p < 0.001). A CA 19-9 response of >50 % resulted in improved overall survival (28.0 vs. 11.1 months; p < 0.0001) and was an independent predictor of survival (hazard ratio 0.26; 95 % CI 0.13-0.55; p < 0.0001).
[EX A]: 0

[EX Q]: Large mega base-pair genomic regions show robust alterations in DNA methylation levels in multiple cancers. A vast majority of these regions are hypomethylated in cancers. These regions are generally enriched for CpG islands, Lamin Associated Domains and Large organized chromatin lysine modification domains, and are associated with stochastic variability in gene expression. Given the size and consistency of hypomethylated blocks (HMB) across cancer types, we hypothesized that the immediate causes of methylation instability are likely to be encoded in the genomic region near HMB boundaries, in terms of specific genomic or epigenomic signatures. However, a detailed characterization of the HMB boundaries has not been reported.', 'Here, we focused on ~13 k HMBs, encompassing approximately half of the genome, identified in colon cancer. We modeled the genomic features of HMB boundaries by Random Forest to identify their salient features, in terms of transcription factor (TF) binding motifs. Additionally we analyzed various epigenomic marks, and chromatin structural features of HMB boundaries relative to the non-HMB genomic regions.', 'We found that the classical promoter epigenomic mark--H3K4me3, is highly enriched at HMB boundaries, as are CTCF bound sites. HMB boundaries harbor distinct combinations of TF motifs. Our Random Forest model based on TF motifs can accurately distinguish boundaries not only from regions inside and outside HMBs, but surprisingly, from active promoters as well. Interestingly, the distinguishing TFs and their interacting proteins are involved in chromatin modification. Finally, HMB boundaries significantly coincide with the boundaries of Topologically Associating Domains of the chromatin.
[EX A]: 0

[EX Q]: To examine the relationship between changes in objectively assessed sleep and global cognitive functioning from inpatient postacute rehabilitation to 6-month follow-up.', 'Secondary analysis of two prospective, longitudinal studies.', 'Inpatient rehabilitation units at a Veterans Affairs Medical Center.', 'Older adults (mean age 73.8 ± 9.4) undergoing inpatient rehabilitation (n = 192).', 'All participants completed 7 nights and days of ambulatory sleep monitoring using wrist actigraphy (yielding an estimate of nighttime wakefulness and daytime sleep) and the Mini-Mental State Examination (MMSE) during a postacute inpatient rehabilitation stay and 6 months after discharge. The 5-item Geriatric Depression Scale, Geriatric Pain Measure, and Cumulative Illness Rating Scale for Geriatrics were completed during inpatient rehabilitation.', 'Growth curve modeling (controlling for baseline age, education, sex, body mass index, depression, pain, and comorbidity burden) revealed that individuals whose amount of daytime sleep decreased from inpatient postacute rehabilitation to 6-month follow-up also experienced improvements in MMSE score (β = -0.01, t(80 = -3.22, P = .002)). Change in nighttime wakefulness was not a significant predictor of change in MMSE score.
[EX A]:
1