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: The objective of this study is to characterize differential proteomic expression among well-differentiation and poor-differentiation colorectal carcinoma tissues and normal mucous epithelium.', 'The study is based on quantitative 2-dimensional gel electrophoresis and analyzed by PDquest.', 'Excluding redundancies due to proteolysis and posttranslational modified isoforms of over 600 protein spots, 11 proteins were revealed as regulated with statistical variance being within the 95th confidence level and were identified by peptide mass fingerprinting in matrix assisted laser desorption/ionization time-of-flight mass spectrometry. Progression-associated proteins belong to the functional complexes of tumorigenesis, proliferation, differentiation, metabolism, and the regulation of major histocompatibility complex processing and other functions. Partial but significant overlap was revealed with previous proteomics and transcriptomics studies in CRC. Among various differentiation stage of CRC tissues, we identified calreticulin precursor, MHC class I antigen (human leukocyte antigen A ), glutathione S-transferase pi1, keratin 8, heat shock protein 27, tubulin beta chain, triosephosphate, fatty acid-binding protein, hemoglobin (deoxy) mutant with val b 1 replaced by met (HBB), and zinc finger protein 312 (FEZF2).
Example Output: 1

Example Input: The aim of this study was to investigate copeptin levels in serum, and assess their associations with type 2 diabetes (T2DM) and diabetic complications.', 'In this post hoc analysis, serum levels of copeptin were tested in 306 patients with T2DM. Clinical information including diabetic retinopathy (DR) and diabetic nephropathy (DN) were collected. The relation of serum copeptin with DR and DN were investigated with the use of logistic regression models according to equal quartiles of the distributions of serum copeptin.', 'We found that serum copeptin levels were significantly higher in diabetes as compared to normal controls [9.4(IQR, 7.4-12.5) pmol/L vs. 4.1(IQR, 2.5-6.2) pmol/L; P<0.0001]. In multivariate analysis, there was an increased risk of T2DM associated with copeptin levels (OR 1.312, 95% CI: 1.204-1.403; P<0.0001) after adjusting for possible confounders. After adjustment for possible confounders, serum copeptin levels were positively associated with the DR (odds ratio [OR], 1.117; 95% confidence interval [CI], 1.072-1.241; P<0.001) and DN (OR, 1.259; 95% CI, 1.198-1.323; P<0.001). Compared with the first quartile of serum copeptin levels, the ORs for DR and DN were as follows: second quartile, 1.19 (95% CI, 0.94-1.51, P=0.12) and 1.37 (95% CI, 0.78-2.37, P=0.28); third quartile, 1.61 (95% CI, 1.18-2.43, P=0.005) and 2.12 (95% CI, 1.32-3.27, P=0.003); fourth quartile, 2.83 (95% CI, 2.04-4.93; P<0.001) and 3.48 (95% CI, 1.77-7.03; P<0.001), respectively.
Example Output: 1

Example Input: Vascular endothelial growth factor (VEGF) has been suggested to enhance glucose transport across the blood-brain barrier, thereby increasing brain glucose supply. Increased brain glucose concentration is known to suppress food intake and to decrease body mass via action on hypothalamic regulation centers. Based on the crucial role of VEGF on brain glucose supply, we hypothesized that higher VEGF concentrations are associated with lower food intake and body mass in humans.', 'Intending to investigate subjects with high variance of blood glucose, we examined patients with type 2 diabetes mellitus. Our hypothesis was tested in a population-based cohort of 190 subjects with type 2 diabetes. Plasma VEGF levels in conjunction with other parameters known to modulate food intake were measured and subsequently correlated with food intake patterns at a breakfast buffet as well as with body mass.', 'We found that subjects with higher concentrations of plasma VEGF had 17% less carbohydrate intake (P=0.003) and 4.8% lower body mass (P=0.017) than those with lower VEGF concentrations. Intake of protein and fat did not correlate with VEGF concentrations. These associations of plasma VEGF were confirmed in multiple linear regression analyses controlling for several parameters interacting with food intake.
Example Output:
1