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.

Example Input: Trauma centers are currently benchmarked on mortality outcomes alone. However, pay-for-performance measures may financially penalize centers based on complications. Our objective was to determine whether the results would be similar to the current standard method of mortality-based benchmarking if trauma centers were profiled on complications.', 'We analyzed data from the National Trauma Data Bank from 2007 to 2010. Patients 16 years or older with blunt or penetrating injuries and an Injury Severity Score (ISS) of 9 or higher were included. Risk-adjusted observed-to-expected (O/E) mortality ratios for each center were generated and used to rank each facility as high, average, or low performing. We similarly ranked facilities on O/E morbidity ratios defined as occurrence of any major complication. Concordance between hospital performance rankings was evaluated using a weighted κ statistic. Correlation between morbidity- and mortality-based O/E ratios was assessed using Pearson coefficients. Sensitivity analyses were performed to mitigate the competing risk of death for the morbidity analyses.', 'A total of 449,743 patients from 248 facilities were analyzed. The unadjusted morbidity and mortality rates were 10.0% and 6.9%, respectively. No correlation was found between morbidity- and mortality-based O/E ratios (r = -0.01). Only 40% of the centers had similar performance rankings for both mortality and morbidity. Of the 31 high performers for mortality, only 11 centers were also high performers for morbidity. A total of 78 centers were ranked as average, and 11 ranked as low performers on both outcomes. Comparison of hospital performance status using mortality and morbidity outcomes demonstrated poor concordance (weighted κ = 0.03, p = 0.22).
Example Output: 0

Example Input: To derive a nomogram of fetal maxillary bone length (MAX) for a Chinese population and to study whether first-trimester maternal serum levels of pregnancy-associated plasma protein-A (PAPP-A) is an independent predictor of fetal MAX.', 'This was a prospective observational study over 10 months examining Chinese women with a singleton pregnancy who attended the first-trimester screening program for Down syndrome. The subjects had the fetal crown-rump length (CRL), nuchal translucency, MAX, maternal serum PAPP-A and free beta-human chorionic gonadotropin (fbeta-hCG) levels measured. A nomogram of MAX was derived using normal pregnancies with reliable dates. The correlations between MAX, CRL, PAPP-A and fbeta-hCG levels were studied, after correction for gestational dependency using Z-score transformation for the ultrasound markers (Z-MAX and Z-CRL), and logarithmic transformation of multiple of gestation-specific medians for the biochemical markers (log10PAPP-A multiples of the median (MoM) and log10fbeta-hCG MoM), using the Pearson test and multiple regression analysis.', 'During the study period, 607 Chinese women met the inclusion criteria. The mean gestational age at the first-trimester screening was 12 + 4 weeks (SD, 4 days). Curve estimation analysis showed that a linear relationship fit best between MAX and CRL (MAX (mm) = -0.01 + 0.101 * CRL (mm); r = 0.826; P < 0.0001), and between MAX and gestational age (MAX (mm) = -8.465 + 0.170 * gestational age (day); r = 0.754; SD = 0.71; P < 0.0001). There were significant positive correlations between Z-MAX and Z-CRL (r = 0.627; P = < 0.0001), Z-MAX and log10PAPP-A MoM (r = 0.239; P = < 0.0001). Multiple regression analysis showed that both Z-CRL (P = < 0.0001) and log10 PAPP-A MoM (P = 0.048) were independent predictors for Z-MAX.
Example Output: 1

Example Input: Non-functioning pituitary adenomas (NFAs) have a prevalence of 7-22/100,000 people. A significant number of patients suffer from morbidities related to the tumor, possible recurrence(s), and treatments utilized. Our aim was to assess mortality of patients with macroNFA and predictive factors.', 'Retrospective cohort study in a tertiary referral center in the UK.', 'A total of 546 patients operated for a macroNFA between 1963 and 2011 were studied. Mortality data were retrieved through the National Health Service Central Register and hospital records and recorded as standardized mortality ratio (SMR). Mortality was estimated for the total and various subgroups with clinical follow-up data.', 'Median follow-up was 8 years (range: 1 month-48.5 years). SMR was 3.6 (95% CI, 2.9-4.5), for those operated before 1990, 4.7 (95% CI, 2.7-7.6) and for those after 1990, 3.5 (95% CI, 2.8-4.4). Main causes of death were cardio/cerebrovascular (33.7%), infections (30.1%), and malignancy (28.9%). Cox regression analysis demonstrated that only age at diagnosis remained an independent predictor of mortality (hazard ratio 1.10; 95% CI, 1.07-1.13, P<0.001), whereas sex, presentation with acute apoplexy, extent of tumor removal, radiotherapy, recurrence, untreated GH deficiency, FSH/LH deficiency, ACTH deficiency, TSH deficiency, and treatment with desmopressin had no impact.
Example Output:
1