Given a passage, 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.

Example Input: To examine the relationship between sperm strict morphology and sperm chromatin integrity.', 'Prospective study.', 'Infertility clinic.', 'Eighty-seven consecutive semen samples from non-azoospermic men presenting for infertility evaluation and 6 samples from fertile donors.', 'Assessment of standard semen parameters and sperm chromatin structure assay (SCSA) parameters (%DFI [DNA fragmentation index] and %HDS [high DNA stainability]). Evaluation of %HDS and %DFI after treatment with dithiothreitol (a thiol-reducing agent used to decondense sperm nuclei) was also undertaken.', 'Relationship between sperm strict morphology defects and SCSA parameters (%DFI and %HDS).', 'We observed significant relationships between the percentage of normal sperm forms and both %HDS (r = -0.40) and sperm motility (r = 0.32). We also found significant relationships between sperm head defects and both %HDS (r = 0.40) and sperm concentration (r = -0.39). Sperm tail, midpiece, and neck defects were not significantly related to the SCSA parameters. Treatment of spermatozoa with dithiothreitol (to induce decondensation) resulted in a substantial increase in %HDS but no measurable change in %DFI.
Example Output: Is sperm head morphology related to high deoxyribonucleic acid stainability assessed by sperm chromatin structure assay?

Example Input: Many patients with coronary heart disease (CHD) are not managed adequately, and we often fail to reach treatment targets.', 'To investigate if knowledge of risk factors for CHD, measured by a questionnaire, would show any relation to advice to compliance to lifestyle changes to attain treatment goals and adherence to drug therapy.', 'Men and women <71 years who had had a cardiac event were screened consecutively (509) from the medical records. Responders (392) were interviewed, examined and received a questionnaire. Three hundred and forty-seven patients answered the questionnaire regarding their general knowledge of risk factors for CHD, compliance to lifestyle changes to attain treatment goals and adherence to drug therapy.', 'There were statistically significant correlations between general knowledge about risk factors for CHD and compliance to certain lifestyle changes: weight, physical activity, stress management, diet, attainment of lipid level goals and the likelihood of taking prescribed blood pressure-lowering drugs. General knowledge of risk factors had no correlation to blood glucose or blood pressure levels nor on smoking habits or treatment patterns for prescribed lipid- and blood glucose-lowering drugs.
Example Output: Does better knowledge improve adherence to lifestyle changes and medication in patients with coronary heart disease?

Example Input: Biohythane is a new and high-value transportation fuel present as a mixture of biomethane and biohydrogen. It has been produced from different organic matters using anaerobic digestion. Bioenergy can be recovered from waste activated sludge through methane production during anaerobic digestion, but energy yield is often insufficient to sludge disposal. Microbial electrolysis cell (MEC) is also a promising approach for bioenergy recovery and waste sludge disposal as higher energy efficiency and biogas production. The systematic understanding of microbial interactions and biohythane production in MEC is still limited. Here, we report biohythane production from waste sludge in biocathode microbial electrolysis cells and reveal syntrophic interactions in microbial communities based on high-throughput sequencing and quantitative PCR targeting 16S rRNA gene.', 'The alkali-pretreated sludge fed MECs (AS-MEC) showed the highest biohythane production rate of 0.148\xa0L·L(-1)-reactor·day(-1), which is 40 and 80\xa0% higher than raw sludge fed MECs (RS-MEC) and anaerobic digestion (open circuit MEC, RS-OCMEC). Current density, metabolite profiles, and hydrogen-methane ratio results all confirm that alkali-pretreatment and microbial electrolysis greatly enhanced sludge hydrolysis and biohythane production. Illumina Miseq sequencing of 16S rRNA gene amplicons indicates that anode biofilm was dominated by exoelectrogenic Geobacter, fermentative bacteria and hydrogen-producing bacteria in the AS-MEC. The cathode biofilm was dominated by fermentative Clostridium. The dominant archaeal populations on the cathodes of AS-MEC and RS-MEC were affiliated with hydrogenotrophic Methanobacterium (98\xa0%, relative abundance) and Methanocorpusculum (77\xa0%), respectively. Multiple pathways of gas production were observed in the same MEC reactor, including fermentative and electrolytic H2 production, as well as hydrogenotrophic\xa0methanogenesis and electromethanogenesis. Real-time quantitative PCR analyses showed that higher amount of methanogens were enriched in AS-MEC than that in RS-MEC and RS-OCMEC, suggesting that alkali-pretreated sludge and MEC facilitated hydrogenotrophic methanogen enrichment.
Example Output:
Do multiple syntrophic interactions drive biohythane production from waste sludge in microbial electrolysis cells?