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.

[EX Q]: Circulating adiponectins have multiple protective roles as anti-diabetic, anti-atherosclerotic, and anti-inflammatory factors. We examined the relationship between plasma adiponectin concentration and other cardiovascular risk in nondiabetic coronary artery disease (CAD) men and the relationship can be maintained even after adjusted for major environmental factors that contribute to adiponectin concentrations.', 'Nondiabetic CAD men (n=613) were 31-70 y and had body mass index (BMI) of 18.5-29.9 kg/m2.', "Circulating adiponectins positively correlated with age and negatively with BMI, waist circumference and % body fat (p-values of all <0.001). Plasma adiponectin concentrations were higher in never-smokers (5.07+/-0.30 microg/ml) than current (4.15+/-0.12 microg/ml) and ex-smokers (3.75+/-0.20 microg/ml) both before and after adjusted for age and adiposity (p=0.002 and p=0.008, respectively), however they were not significantly different according to alcohol drinking status. After adjusted for age, adiposity and cigarette smoking, plasma adiponectin still have positive correlations with HDL cholesterol, apolipoprotein AI and LDL particle size, and inversely with fasting triglyceride, atherogenic index, insulin resistance and C-reactive protein (CRP). However there was no significant relationships between adiponectin and apolipoprotein B, total cholesterol or LDL cholesterol. In subset analysis by tertile adiponectin concentrations (lowest: <2.92, moderate: 2.92<or=adiponectin<4.75, highest: >or=4.75 microg/ml), 'moderate' and 'highest' adiponectin groups had lower triglyceride (p<0.001), lower atherogenic index (p=0.001), lower fasting insulin (p=0.004), lower insulin resistance (p=0.001), lower CRP (p=0.001), higher HDL cholesterol (p<0.001), higher apolipoprotein AI (p=0.005) and higher LDL particle size (p<0.001) as compared with 'lowest' adiponectin group when adjusted for age, adiposity and cigarette smoking. Platelets were lower in 'highest' adiponectin groups as compared with 'lowest' and 'moderate' adiponectin group after the adjustment. However, there was no significant difference in total cholesterol (p=0.145), LDL cholesterol (p=0.145), apolipoprotein B (p=0.222) and fasting glucose (p=0.157).
[EX A]: Is plasma adiponectin related to other cardiovascular risk factors in nondiabetic Korean men with CAD , independent of adiposity and cigarette smoking : cross-sectional analysis?

[EX Q]: Crowdsourcing dietary ratings for food photographs, which uses the input of several users to provide feedback, has potential to assist with dietary self-monitoring.', "This study assessed how closely crowdsourced ratings of foods and beverages contained in 450 pictures from the Eatery mobile app as rated by peer users (fellow Eatery app users) (n = 5006 peers, mean 18.4 peer ratings/photo) using a simple 'healthiness' scale were related to the ratings of the same pictures by trained observers (raters). In addition, the foods and beverages present in each picture were categorized and the impact on the peer rating scale by food/beverage category was examined. Raters were trained to provide a 'healthiness' score using criteria from the 2010 US Dietary Guidelines.", "The average of all three raters' scores was highly correlated with the peer healthiness score for all photos (r = 0.88, p<0.001). Using a multivariate linear model (R(2) = 0.73) to examine the association of peer healthiness scores with foods and beverages present in photos, peer ratings were in the hypothesized direction for both foods/beverages to increase and ones to limit. Photos with fruit, vegetables, whole grains, and legumes, nuts, and seeds (borderline at p = 0.06) were all associated with higher peer healthiness scores, and processed foods (borderline at p = 0.06), food from fast food restaurants, refined grains, red meat, cheese, savory snacks, sweets/desserts, and sugar-sweetened beverages were associated with lower peer healthiness scores.
[EX A]: Are the use of crowdsourcing for dietary self-monitoring : crowdsourced ratings of food pictures comparable to ratings by trained observers?

[EX Q]: To demonstrate a method to extract the meaningful biologic information from (111)In-radiolabeled capromab pendetide (ProstaScint) SPECT scans for use in radiation therapy treatment planning by removing that component of the (111)In SPECT images associated with normal structures.', 'We examined 20 of more than 80 patients who underwent simultaneous (99m)Tc/(111)In SPECT scans, which were subsequently registered to the corresponding CT/MRI scans.A thresholding algorithm was used to identify (99m)Tc uptake associated with blood vessels and CT electron density associated with bone marrow. Corresponding voxels were removed from the (111)In image set.', 'No single threshold value was found to be associated with the (99m)Tc uptake that corresponded to the blood vessels. Intensity values were normalized to a global maximum and, as such, were dependent upon the quantity of (99m)Tc pooled in the bladder. The reduced ProstaScint volume sets were segmented by use of a thresholding feature of the planning system and superimposed on the CT/MRI scans.
[EX A]:
Does procedure for unmasking localization information from ProstaScint scan for prostate radiation therapy treatment planning?