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 Input:
Interfacility ground critical care transport (CCT) of patients by ambulance may be stressful. This study evaluated whether playing music during CCT reduces patient anxiety and whether objective evidence is manifested by a change in vital signs.', 'Urban teaching hospital.', 'In this prospective cohort study, music was played for eligible adult patients during CCT while recording vital signs. A questionnaire was subsequently mailed to patients to rate whether the ambulance transport was stressful, the impact music had on transport, whether music changed their anxiety, whether music made them comfortable and relaxed, and whether they would prefer music to be played on future transports. Vital signs were compared between respondents who perceived transport as stressful and those who did not.', 'One hundred two patients were enrolled; 23 respondents (22.5%) constituted the study group. Four patients (17.4%) reported CCT as stressful (average response, 4.75). Nineteen (82.6%) rated CCT as not stressful (average response, 1.63). Subjectively, patients reported a positive impact of music on transport, with improved comfort and relaxation but only a minimal decrease in anxiety. No statistically significant change in vital signs was observed between cohorts; too few patients were enrolled to generate power to detect any difference.

Ex Output:
0


Ex Input:
Total bilirubin (TB) was recently recognized as an endogenous anti-inflammatory and anti-oxidant molecule. Uric acid (UA) takes part in cardiovascular diseases by inducing oxidative stress, inflammation, and endothelial dysfunction. We assessed the relationship between serum TB levels, serum UA levels, and inflammatory status assessed by neutrophil-to-lymphocyte ratio (N/L) and arterial stiffness and arterial wave reflection in patients with a clinical diagnosis of coronary artery disease (CAD).', 'We included 145 consecutive patients admitted with stable angina pectoris (SAP) or acute coronary syndrome (ACS). Blood samples were drawn at admission for complete blood count and biochemistry. Non-invasive pulse waveform analysis for the determination of augmentation index (AIx) and carotid-femoral pulse wave velocity (PWV) measurements were performed with the commercially available SphygmoCor system.', 'When patients were divided into tertiles of PWV and AIx, median N/L and median serum UA levels were the highest and mean TB levels were the lowest in the third tertile (p<0.001 for all). AIx and PWV were positively associated with serum UA and N/L and negatively associated with serum TB levels (p<0.001 for all). After adjustments for age, gender, heart rate, systolic blood pressure, and presence of diabetes, significant correlations persisted for N/L, UA, and TB in ACS patients (p<0.05). In the SAP group, TB was significantly negatively correlated with AIx and PWV, and UA was significantly positively correlated with PWV (p<0.05).

Ex Output:
1


Ex Input:
To investigate the influence of metabolic syndrome on prostate-specific antigen levels by considering prostate volume and plasma volume.', 'We retrospectively analyzed 4111 men who underwent routine check-ups including prostate-specific antigen and transrectal ultrasonography. The definition of metabolic syndrome was based on the modified Adult Treatment Panel III criteria. Prostate-specific antigen mass density (prostate-specific antigen × plasma volume / prostate volume) was calculated for adjusting plasma volume and prostate volume. We compared prostate-specific antigen and prostate-specific antigen mass density levels of participants with metabolic syndrome (metabolic syndrome group, n = 1242) and without metabolic syndrome (non-prostate-specific antigen metabolic syndrome group, n = 2869). To evaluate the impact of metabolic syndrome on prostate-specific antigen, linear regression analysis for the natural logarithm of prostate-specific antigen was used.', 'Patients in the metabolic syndrome group had significantly older age (P < 0.001), larger prostate volume (P < 0.001), higher plasma volume (P < 0.001) and lower mean serum prostate-specific antigen (non-metabolic syndrome group vs metabolic syndrome group; 1.22 ± 0.91 vs 1.15 ± 0.76 ng/mL, P = 0.006). Prostate-specific antigen mass density in the metabolic syndrome group was still significantly lower than that in the metabolic syndrome group (0.124 ± 0.084 vs 0.115 ± 0.071 μg/mL, P = 0.001). After adjusting for age, prostate volume and plasma volume using linear regression model, the presence of metabolic syndrome was a significant independent factor for lower prostate-specific antigen (prostate-specific antigen decrease by 4.1%, P = 0.046).

Ex Output:

1