Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Ex Input:
Context: We assessed the expression of natural killer (NK) receptors in recurrent aborters before and after immunotherapy using their husbands' peripheral blood mononuclear cells (PBMCs).", 'Using stored PBMCs from recurrent aborters before and after the immunotherapy, the expression of NK receptors, CD158a, CD158b, CD159 and CD94, were analyzed using monoclonal antibodies for respective receptors. The diversity of killer activatory receptors (KARs) and killer inhibitory receptors (KIRs) was also examined using reverse transcriptase-polymerase chain reaction (RT-PCR)-single strand conformation polymorphism (SSCP) method.', 'In recurrent aborters, no apparent changes in NK receptor expression and the balance between KARs and KIRs were found before and after the immunotherapy.
Answer: The allo-human leukocyte antigen (HLA)-stimulation caused by the immunotherapy for recurrent aborters did not affect the expression of NK receptors and the ratio of KARs to KIRs regardless of the outcome of subsequent pregnancies, suggesting that recurrent aborters may benefit from the immunotherapy through mechanisms unrelated to alteration in NK receptor status.

Ex Output:
Does immunotherapy prevent recurrent abortion without influencing natural killer receptor status?


Ex Input:
Context: A computerized physician order entry (CPOE) system with embedded clinical decision support can reduce medication errors in hospitals, but might increase the time taken to generate orders.', 'We aimed to quantify the effects of temporal (month, day of week, hour of shift) and other factors (grade of doctor, prior experience with the system, alert characteristics, and shift type) on the time taken to generate a prescription order.', 'A large university teaching hospital using a locally developed CPOE system with an extensive audit database.', 'We retrospectively analyzed prescription orders from the audit database between August 2011 and July 2012.', 'The geometric mean time taken to generate a prescription order within the CPOE system was 11.75\u2005s (95% CI 11.72 to 11.78). Time to prescribe was most affected by the display of high-level (24.59\u2005s (24.43 to 24.76); p<0.001) or previously unseen (18.87\u2005s (18.78 to 18.96); p<0.001) alerts. Prescribers took significantly less time at weekends (11.29\u2005s (11.23 to 11.35)) than on weekdays (11.88\u2005s (11.84 to 11.91); p<0.001), in the first (11.25\u2005s (11.16 to 11.34); p<0.001) and final (11.56\u2005s (11.47 to 11.66); p<0.001) hour of their shifts, and after the first month of using the system.
Answer: The display of alerts, prescribing experience, system familiarity, and environment all affect the time taken to generate a prescription order. Our study reinforces the need for appropriate alerts to be presented to individuals at an appropriate place in the workflow, in order to improve prescribing efficiency.

Ex Output:
Do temporal and other factors that influence the time doctors take to prescribe using an electronic prescribing system?


Ex Input:
Context: Childhood overweight and obesity have increased substantially in the past two decades, raising concerns about their psychosocial and cognitive consequences. We examined the associations between academic performance (AP), cognitive functioning (CF), and increased BMI in a nationally representative sample of children.', 'Participants were 2,519 children aged 8-16 years, who completed a brief neuropsychological battery and measures of height and weight as a part of the Third National Health and Nutrition Examination Survey, a cross-sectional survey conducted between 1988 and 1994. Z-scores were calculated for each neuropsychological test, and poor performance was defined as z-score <2.', 'The association between BMI and AP was not significant after adjusting for parental/familial characteristics. However, the associations between CF remained significant after adjusting for parental/familial characteristic, sports participation, physical activity, hours spent watching TV, psychosocial development, blood pressure, and serum lipid profile. Z-scores on block design (a measure of visuospatial organization and general mental ability) among overweight children and children at risk of overweight were below those of normal-weight children by 0.22 (s.e. = 0.16) and 0.10 (s.e. = 0.10) unit, respectively (P for trend <0.05). The odds of poor performance on block design were 1.97 (95% confidence interval: 1.01-3.83) and 2.80 (1.16-6.75), respectively, among children at risk or overweight compared to normal-weight peers.
Answer: Increased body weight is independently associated with decreased visuospatial organization and general mental ability among children. Future research is needed to determine the nature, persistence, and functional significance of this association.

Ex Output:

Is overweight associated with decreased cognitive functioning among school-age children and adolescents?