Effects of superficial gas velocity on the performance of an air-lift internal circulation partial nitrification-anammox granular sludge reactor.

The airlift internal circulation reactor for partial nitrification-anammox (PNA-ALR) has the advantages of a small footprint, high mass transfer efficiency, and the ease of formation of granular sludge, thus making it an effective biological treatment for ammonia-containing wastewater. Although superficial gas velocity (SGV) is an essential parameter for PNA-ALR, it is unclear how the magnitude of SGV impacts nitrogen removal performance. In this study, the nitrogen removal efficiencies of five PNA-ALRs with different SGV were measured during feeding with synthetic municipal wastewater.

The anammox coupled partial-denitrification process in an integrated granular sludge and fixed-biofilm reactor developed for mainstream wastewater treatment: Performance and community structure.

This study describes an integrated granular sludge and fixed-biofilm (iGB) reactor innovatively designed to carry out the anammox/partial-denitrification (A/PD) process for nitrogen removal with mainstream municipal wastewater. The iGB-A/PD reactor consists of anammox granules inoculated in the lower region of reactor and an acclimated fixed-biofilm positioned in the upper region. Compared to the other reported A/PD systems for mainstream wastewater treatment, this iGB-A/PD reactor is notable due to its higher quality effluent with a total inorganic nitrogen (TIN) of ∼3 mg•L and operation at a high nitrogen removal rate (NRR) of 0.

Artificial intelligence on diabetic retinopathy diagnosis: an automatic classification method based on grey level co-occurrence matrix and naive Bayesian model.

Aim: To develop an automatic tool on screening diabetic retinopathy (DR) from diabetic patients.

Methods: We extracted textures from eye fundus images of each diabetes subject using grey level co-occurrence matrix method and trained a Bayesian model based on these textures. The receiver operating characteristic (ROC) curve was used to estimate the sensitivity and specificity of the Bayesian model.

[Establishment of surgical blood ordering schedule and relative influential factors for tumor patients].

Objective: To design a blood ordering schedule and explore the influencing factors of blood utilizing and ordering for tumor surgical patients.

Methods: For a total of 58 306 tumor surgical patients, 22 643 applications of blood ordering and 7430 person-times of blood utilization from October 2002 to May 2012 were retrospectively analyzed at Cancer Hospital of Chinese Academy of Medical Sciences. Their clinical profiles and test results were analyzed.

[Logistic regression analysis of platelet transfusion effects in cases of cancer patients].

Objective: To explore the influencing factors of platelet transfusion effects in cancer patients.

Methods: A total of 363 cases of cancer patients undergoing platelet transfusion at our hospital from January 1, 2010 to June 30, 2011 were enrolled. Only one transfusion was randomly selected for each patient for single-factor analysis.