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: Regeneration and tolerance factor (RTF) has been recently suggested to contribute to the control of fetal-ablating immunity at the maternal-fetal interface through the induction of T helper 2 (Th2)-dominated response. The protein consists of a membrane-associated domain and an extracellular portion which is proteolitically cleaved to yield a soluble peptide. In humans, it has been shown to be expressed by invading cytotrophoblasts and decidual lymphoid cells, to be increased on peripheral blood B lymphocytes during a normal gestation and on circulating natural killer cells during unsuccessful pregnancies. However, the expression of RTF in other cell types and, specifically, in non-hematopoietic maternal cells of the human uterus has not been characterized in detail. Thus, we have specifically studied the expression and modulation of the cytokine in human endometrium obtained in different phases of the cycle and in early pregnancy.', 'The 20 kDa extracellular domain of RTF has been localized by immunohistochemical method and Western blot analysis. Levels of RTF messenger RNA (mRNA) in basal and stimulated conditions have been evaluated by semiquantitative reverse transcription-polymerase chain reaction.', 'The extracellular domain of RTF could be detected in both the glandular epithelium and stroma with diffuse distribution in both cycling endometrium and first trimester decidua. Both cycling and pregnant endometrium expressed the gene for RTF but mRNA levels resulted significantly increased in secretory phase-endometrial stromal cells when compared to proliferative phase samples. Inflammatory cytokines, interleukin-1beta and tumour necrosis factor alpha were able to directly increase endometrial RTF mRNA expression.
Example Output: Is the placental immunomodulatory cytokine regeneration and tolerance factor also expressed by both human cycling and early pregnant endometrium?

Example Input: It is common in public health and epidemiology that the outcome of interest is counts of events occurrence. Analysing these data using classical linear models is mostly inappropriate, even after transformation of outcome variables due to overdispersion. Zero-adjusted mixture count models such as zero-inflated and hurdle count models are applied to count data when over-dispersion and excess zeros exist. Main objective of the current paper is to apply such models to analyse risk factors associated with human helminths (S. haematobium) particularly in a case where there's a high proportion of zero counts.", 'The data were collected during a community-based randomised control trial assessing the impact of mass drug administration (MDA) with praziquantel in Malawi, and a school-based cross sectional epidemiology survey in Zambia. Count data models including traditional (Poisson and negative binomial) models, zero modified models (zero inflated Poisson and zero inflated negative binomial) and hurdle models (Poisson logit hurdle and negative binomial logit hurdle) were fitted and compared.', 'Using Akaike information criteria (AIC), the negative binomial logit hurdle (NBLH) and zero inflated negative binomial (ZINB) showed best performance in both datasets. With regards to zero count capturing, these models performed better than other models.
Example Output: Do zero adjusted models with applications to analysing helminths count data?

Example Input: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are inflammatory markers used as prognostic factors in various diseases. The aims of this study were to compare the PLR and the NLR of heart failure (HF) patients with those of age-sex matched controls, to evaluate the predictive value of those markers in detecting HF, and to demonstrate the effect of NLR and PLR on mortality in HF patients during follow-up.', 'This study included 56 HF patients and 40 controls without HF. All subjects underwent transthoracic echocardiography to evaluate cardiac functions. The NLR and the PLR were calculated as the ratio of neutrophil count to lymphocyte count and as the ratio of platelet count to lymphocyte count, respectively. All HF patients were followed after their discharge from the hospital to evaluate mortality, cerebrovascular events, and re-hospitalization.', 'The NLR and the PLR of HF patients were significantly higher compared to those of the controls (p < 0.01). There was an inverse correlation between the NLR and the left ventricular ejection fraction of the study population (r: -0.409, p < 0.001). The best cut-off value of NLR to predict HF was 3.0, with 86.3% sensitivity and 77.5% specificity, and the best cut-off value of PLR to predict HF was 137.3, with 70% sensitivity and 60% specificity. Only NLR was an independent predictor of mortality in HF patients. A cut-off value of 5.1 for NLR can predict death in HF patients with 75% sensitivity and 62% specificity during a 12.8-month follow-up period on average.
Example Output:
Are neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio Predictors of Heart Failure?