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: Centrosome orientation toward the leading edge of migrating cells depends on dynein and microtubules (MTs), as well as a number of signaling factors at the leading edge. However, centrosomes are maintained at the cell center during orientation in fibroblasts, suggesting that factors working at sites other than the leading edge may also be involved.', 'In a search for factors that function with dynein in centrosome orientation, we found that the polarity protein Par3 associated with dynein and that knockdown of Par3 inhibited centrosome orientation by disrupting the position of the centrosome at the cell center; this disrupted centrosome positioning is the same phenotype as that observed with dynein inhibition. Par3 associated with dynein through its N-terminal dimerization and PDZ1 domains and interacted specifically with dynein light intermediate chain 2 (LIC2). siRNA knockdown of LIC2, but not LIC1, or overexpression of LIC2 or the N-terminal domain of Par3, also inhibited centrosome orientation by disrupting centrosome position. In wound-edge fibroblasts, Par3 specifically localized to cell-cell contacts where it overlapped with MT ends and dynein puncta in a LIC2-dependent fashion. Live imaging showed that MTs exhibited increased pausing at cell-cell contacts compared to the leading edge and that this elevated pausing was dependent on Par3 and LIC2.
Example Output: 0

Example Input: To determine the association of ethanol intoxication with hypoglycemia in ED patients.', 'Retrospective, laboratory log review of 953 consecutive patients who were evaluated for ethanol intoxication in an urban university hospital ED over a three-month period. Simultaneous serum glucose determination was carried out for each patient and associations between ethanol level and glucose were sought.', 'Glucose concentrations were unavailable for 16 patients (1.7%). Of the remaining patients, 584 patients had detectable ethanol concentrations (ethanol-positive), and 353 had no detectable ethanol (ethanol-negative). Ethanol concentrations (mean +/- SD) in the ethanol-positive group were 50.11 +/- 24.08 mmol/L (231 +/- 111 mg/dL), and glucose concentrations were 5.83 +/- 1.94 mmol/L (105 +/- 35 mg/dL). Hypoglycemia [glucose < 3.72 mmol/L (67 mg/dL)] was observed for five (0.9%) ethanol-positive patients. It was classified as mild-moderate [2.78-3.66 mmol/L (50-66 mg/dL)] for four patients (0.7%) and severe [< 2.78 mmol/L (50 mg/dL)] for one (0.2%). Ethanol concentrations ranged from 25.60 to 68.33 mmol/L (118 to 315 mg/dL). There was no correlation between ethanol and glucose concentrations in any subset of the ethanol-positive patients population. In the ethanol-positive group, patients who had several ethanol-positive visits (56 patients, mean 3.6 visits/patient) accounted for four of the five episodes of hypoglycemia, including the one episode of severe hypoglycemia. The frequency of hypoglycemia in repeat visitors (2.0%) was higher than that in the group of patients without repeat visits (0.2%). In the ethanol-negative group, there were four (1.1%) episodes of mild-moderate hypoglycemia and no severely hypoglycemic patients. Hypoglycemia was not more likely to occur among ethanol-positive patients than it was among ethanol-negative patients.
Example Output: 1

Example Input: The study focuses on the analysis of the possible relationship between a common NYD-SP18 (rs6971091, G>A) gene polymorphism and weight loss after lifestyle intervention (combined dietary intake and physical activity) in overweight/obese females.', 'We genotyped 139 unrelated non-diabetic Czech females (49.5 ± 13.3 years, average BMI at baseline 32.2 ± 4.6 kg/m². Biochemical and anthropometrical measurements were performed before and after ten weeks of lifestyle intervention.
Example Output:
1