In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Example Input: Context: To test the hypothesis that effective pulmonary capillary blood flow can be a useful indicator for estimating appropriate oxygenation and ventilation during one-lung ventilation in lung surgery.', 'Prospective data analysis.', 'A 770-bed general teaching hospital.', '15 ASA physical status II and III patients undergoing elective lung surgery.', 'Patients received general and thoracic epidural anesthesia and underwent lung operation with one-lung ventilation.', 'We measured effective pulmonary capillary blood flow by a partial CO2 rebreathing method and oxygenation parameters during two-lung ventilation before surgery, during one-lung ventilation, and during two-lung ventilation after lung surgery.', 'The effective pulmonary capillary blood flow index significantly decreased by 31.6%, which was associated with a significant decrease in arterial oxygen tension (PaO2). The pulmonary shunt fraction increased to 46.3% during one-lung ventilation. During two-lung ventilation, after chest closure, effective pulmonary capillary blood flow index divided by heart rate (i.e., effective pulmonary blood stroke flow index) was still significantly lower than that seen during two-lung ventilation before thoracotomy. There were significant correlations between effective pulmonary capillary blood flow, pulmonary blood stroke flow index, and PaO2.\Question: Is a noninvasive partial carbon dioxide rebreathing technique for measurement of pulmonary capillary blood flow also a useful oxygenation monitor during one-lung ventilation?
Example Output: Effective pulmonary capillary blood flow index and effective pulmonary blood stroke flow index are useful indicators for determining appropriate oxygenation therapy during one-lung ventilation.

Example Input: Context: Staphylococcus aureus sepsis is associated with significant myocardial dysfunction. Toll-like receptor 2 (TLR2) mediates the inflammatory response to S aureus and may trigger an innate immune response in the heart. We hypothesized that a TLR2 deficiency would attenuate S aureus-induced cardiac proinflammatory mediator production and the development of cardiac dysfunction.', 'Wild-type and TLR2-deficient (TLR2D) mice were studied. S aureus challenge significantly increased tumor necrosis factor, interleukin-1beta, and nitric oxide expression in hearts of wild-type mice. This response was significantly blunted in TLR2D mice. Hearts from TLR2D mice had impaired S aureus-induced activation of interleukin-1 receptor-associated kinase, c-Jun NH2 terminal kinase, nuclear factor-kappaB, and activator protein-1. Moreover, hearts from TLR2D mice were protected against S aureus-induced contractile dysfunction.\Question: Does toll-like receptor 2 mediate Staphylococcus aureus-induced myocardial dysfunction and cytokine production in the heart?
Example Output: These results show for the first time that TLR2 signaling contributes to the loss of myocardial contractility and cytokine production in the heart during S aureus sepsis.

Example Input: Context: With the advent of ambulatory blood pressure monitoring has come the awareness that blood pressure (BP) normally drops, or "dips," at night by roughly 10%. A number of pathological conditions have been associated with the nondipping of nocturnal BP. In general, researchers have looked at dipping in neurological and cardiovascular disorders. We examined the extent to which nocturnal nondipping might be influenced by relatively gross measures of social environment.', 'This study examined 78 healthy adults and adults with mild hypertension who were not currently receiving medication, aged 25 to 52 years (mean age = 38.2). Forty-two participants self-identified as black and 36 identified as white.', 'Age, body mass index, apnea-hypopnea index, screening BP, ethnicity, and socioeconomic status (SES) were significantly associated with nocturnal BP dipping, accounting for 41% of the variance in dipping (F[6,51] = 5.473, p <.001). When SES was entered on the last step of a hierarchical regression analysis, it independently accounted for 8% of the variance in dipping, even after accounting for ethnicity, such that the lower the SES, the more the nondipping.\Question: Is socioeconomic status associated with nocturnal blood pressure dipping?
Example Output:
It remains to be seen what aspect of the social environment may be driving this association between nondipping and lower social class. However, investigators might consider including social class in their models in future studies.