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: Endothelin receptor antagonists improve pulmonary arterial hypertension (PAH). Mutations in the bone morphogenetic protein (BMP) type 2 receptor (BMPR2) predispose to PAH. Here, we sought to determine whether there might exist interactions between these 2 signaling pathways and their effect on the acquisition of the altered phenotype of pulmonary artery smooth muscle cells (PA-SMCs) observed in PAH.', 'Expression of BMPR2, of the BMP agonist BMP4, and of the BMP antagonists gremlin1 and gremlin2 was evaluated in lungs and in PA-SMCs from 6 PAH patients and 14 controls treated with endothelin-1. Endothelin-1 pre-treated PA-SMCs were assessed for proliferation, apoptosis, and downstream signaling activation of Smad1/5/8 and p38 mitogen-activated protein kinase (p38(MAPK)) after BMP2 treatment.', 'In PA-SMCs from PAH patients, expression of BMPR2 and BMP4 decreased, whereas expression of gremlin1 and gremlin2 increased compared with controls. Treatment of control PA-SMCs with endothelin-1 induced a dose-dependent increase in gremlin1 and gremlin2, whereas BMPR2 and BMP4 expression decreased, reaching similar levels as those observed in PAH cells. In control PA-SMCs, endothelin-1 pre-treatment reduced inhibitor of DNA binding 1 (Id1) expression and Smad1/5/8 activation induced by BMP2, whereas it enhanced p38(MAPK) activation. Moreover, BMP2 decreased serum-induced proliferation and increased the pro-apoptotic Bax/Bcl-2 ratio. These effects were attenuated by endothelin-1 pre-treatment. Endothelin-1 did not alter BMPR2 signaling in PA-SMCs from PAH patients.
Example Output: 0

Example Input: Biomarkers predictive of recovery from acute kidney injury (AKI) after liver transplantation (LT) could enhance decision algorithms regarding the need for liver-kidney transplantation or renal sparing regimens. Multianalyte plasma/urine kidney injury protein panels were performed immediately before and 1 month post-LT in an initial test group divided by reversible pre-LT AKI (rAKI = post-LT renal recovery) versus no AKI (nAKI). This was followed by a larger validation set that included an additional group: irreversible pre-LT AKI (iAKI = no post-LT renal recovery). In the test group (n = 16), six pre-LT plasma (not urine) kidney injury proteins (osteopontin [OPN], neutrophil gelatinase-associated lipocalin, cystatin C, trefoil factor 3, tissue inhibitor of metalloproteinase [TIMP]-1, and β-2-microglobulin) were higher in rAKI versus nAKI (P < 0.05) and returned to normal values with renal recovery post-LT. In the validation set (n = 46), a number of proteins were significantly higher in both rAKI and iAKI versus nAKI. However, only pre-LT plasma OPN (P = 0.009) and TIMP-1 (P = 0.019) levels were significantly higher in rAKI versus iAKI. Logistic regression modeling was used to correlate the probability of post-LT rAKI, factoring in both pre-LT protein markers and clinical variables. A combined model including elevated OPN and TIMP-1 levels, age <57, and absence of diabetes had the highest area under the curve of 0.82, compared to protein-only and clinical variable-only models.
Example Output: 0

Example Input: The purpose of this study was to determine the prevalence of stress urinary incontinence (SUI) in recreationally active women attending gyms or exercise classes.', 'Data were collected on the frequency and severity of incontinence and the prevalence of SUI risk factors; screening for PFM dysfunction in a fitness appraisal; symptom modification strategies; knowledge of pelvic floor muscle (PFM) exercises and the Pelvic Floor First (PFF) initiative. Three hundred and sixty-one women aged 18-83 who attended exercise classes or gyms in Western Australia were surveyed.', 'Nearly half (49.3\xa0%) of participants reported SUI, the majority of whom slight or moderate leakage. Ninety-six per cent reported at least one SUI risk factor, with the mean being 2.7 (SD\u2009=\u20091.4). Almost all women surveyed had heard of PFM exercises (97.2\xa0%), but only 15.2\xa0% of participants were screened for PFM dysfunction in a fitness appraisal. Forty-three per cent reported that a fitness instructor cued PFM activation during a workout. Less than 1 in 10 (9.7\xa0%) of the women surveyed had heard about the PFF initiative.
Example Output:
1