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 Q]: Obesity has shown a positive association with depression. We aimed to investigate the relationships among body weight, body mass index (BMI=kg/m(2)), change in a depression rating scale, and change in a functional scale with fluoxetine treatment for hospitalized patients with major depressive disorder (MDD).', 'A total of 131 acutely ill inpatients with MDD were enrolled to receive 20mg of fluoxetine daily for 6 weeks. The 17-item Hamilton Depression Rating Scale (HAMD-17) for symptom and the Work and Social Adjustment Scale (WSAS) for functioning were assessed at weeks 0, 1, 2, 3, 4, and 6. Remission was defined as a score of≤7 on the HAMD-17 at endpoint. Body weight, body length, and BMI were measured at baseline. Pearson correlation coefficients (r) were calculated among body weight, BMI, HAMD-17 score change, and WSAS score change.', 'Of the 131 participants, 126 (96.2%) had at least one post-baseline assessment and were included in the analysis. Significant differences in body weight and BMI existed between remitters and nonremitters. There were statistically significant relationships among baseline body weight, baseline BMI, HAMD-17 score change, and WSAS score change at end point.
[EX A]: 0

[EX Q]: A colorectal tumor is not an isolated entity growing in a restricted location of the body. The patient's gut environment constitutes the framework where the tumor evolves and this relationship promotes and includes a complex and tight correlation of the tumor with inflammation, blood vessels formation, nutrition, and gut microbiome composition. The tumor influence in the environment could both promote an anti-tumor or a pro-tumor response.", 'A set of 98 paired adjacent mucosa and tumor tissues from colorectal cancer (CRC) patients and 50 colon mucosa from healthy donors (246 samples in total) were included in this work. RNA extracted from each sample was hybridized in Affymetrix chips Human Genome U219. Functional relationships between genes were inferred by means of systems biology using both transcriptional regulation networks (ARACNe algorithm) and protein-protein interaction networks (BIANA software).', 'Here we report a transcriptomic analysis revealing a number of genes activated in adjacent mucosa from CRC patients, not activated in mucosa from healthy donors. A functional analysis of these genes suggested that this active reaction of the adjacent mucosa was related to the presence of the tumor. Transcriptional and protein-interaction networks were used to further elucidate this response of normal gut in front of the tumor, revealing a crosstalk between proteins secreted by the tumor and receptors activated in the adjacent colon tissue; and vice versa. Remarkably, Slit family of proteins activated ROBO receptors in tumor whereas tumor-secreted proteins transduced a cellular signal finally activating AP-1 in adjacent tissue.
[EX A]: 0

[EX Q]: (1) Compare ideal cut-off points for DS and %FEV1 at 1 and 3\xa0h\xa0to predict hospitalization/relapse in subjects with moderate to severe asthma exacerbation (2) Develop a multivariate regression model using DS, %FEV1, demographic, and clinical variables to predict hospitalization/relapse.', 'Subjects with acute exacerbation of asthma (FEV1 <50% predicted following 30\xa0min\xa0of standardized treatment: 5\xa0mg nebulized albuterol; 0.5-1.5\xa0mg nebulized ipratropium; and 50\xa0mg oral prednisone) were eligible. All subjects had %FEV1 and DS obtained at baseline and hourly for 3\xa0h. Using hospitalization/relapse as the outcome of interest; we compared the area under the receiveroperator curves (AUC) between the 1 and 3\xa0h\xa0DS and %FEV1 measurements, and the AUC for the change in DS and %FEV1 between baseline and hour-3. We determined ideal cut-points for %FEV1 and DS to maximize sensitivity and specificity. Sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios (LR) were compared between %FEV1 and DS. We developed a multivariate regression model examining the association of specific demographic and clinical variables to hospitalization/relapse.', '142 patients were included for analysis. The AUC was greatest for the 3-h\xa0DS (0.721), followed by the 3-h\xa0%FEV1 (0.669). Optimum cut-off values were a DS of 2, and an FEV1 of 42%. These were associated with a +LR for the composite outcome of 3.06 and 2.48 respectively. Logistic regression showed baseline DS, 3-h\xa0DS, change in DS, and oxygen use at hour 3 were all associated with the composite outcome.
[EX A]:
1