Application of deep learning for predicting the treatment performance of real municipal wastewater based on one-year operation of two anaerobic membrane bioreactors.

In this study, data-driven deep learning methods were applied in order to model and predict the treatment of real municipal wastewater using anaerobic membrane bioreactors (AnMBRs). Based on the one-year operating data of two AnMBRs, six parameters related to the experimental conditions (temperature of reactor, temperature of environment, temperature of influent, influent pH, influent COD, and flux) and eight parameters for wastewater treatment evaluation (effluent pH, effluent COD, COD removal efficiency, biogas composition (CH, N, and CO), biogas production rate, and oxidation-reduction potential) were selected to establish the data sets. Three deep learning network structures were proposed to analyze and reproduce the relationship between the input parameters and output evaluation parameters.

The RAG transposon is active through the deuterostome evolution and domesticated in jawed vertebrates.

RAG1 and RAG2 are essential subunits of the V(D)J recombinase required for the generation of the variability of antibodies and T cell receptors in jawed vertebrates. It was demonstrated that the amphioxus homologue of RAG1-RAG2 is encoded in an active transposon, belonging to the transposase DDE superfamily. The data provided support the possibility that the RAG transposon has been active through the deuterostome evolution and is still active in several lineages.

An antibiotic decision-making tool for patients with pneumonia admitted to a medical intensive care unit.

Pneumonia is a leading cause of death in medical intensive care units (MICUs). Delayed or inappropriate antibiotic therapy largely increases morbidity and mortality. Multidrug-resistant (MDR) micro-organisms are major reasons for inappropriate antibiotic use.

Reduction of global 5-hydroxymethylcytosine is a poor prognostic factor in breast cancer patients, especially for an ER/PR-negative subtype.

DNA methylation at the 5 position of cytosine (5 mC) is an epigenetic hallmark in cancer. The 5 mC can be converted to 5-hydroxymethylcytosine (5 hmC) through a ten-eleven-translocation (TET). We investigated the impact of 5 mC, 5 hmC, TET1, and TET2 on tumorigenesis and prognosis of breast cancer.

Association of OCT4, SOX2, and NANOG expression with oral squamous cell carcinoma progression.

Background: OCT4, SOX2, and NANOG are major transcription factors related to stem cell self-renewal and differentiation. The aim of this study was to examine the association of OCT4, SOX2, and NANOG expression levels with the development and prognosis of patients with oral squamous cell carcinoma (OSCC).

Materials And Methods: Expression levels of OCT4, SOX2, and NANOG were evaluated by immunohistochemistry with tissue microarray slides of 436 OSCC, 362 corresponding tumor-adjacent normal (CTAN) tissues, and 71 normal uvula epithelium tissues.

[Construction of genome BAC library for single Branchiostoma belcheri individual].

As one of the closest living invertebrate relatives of vertebrates, amphioxus (subphylum Cephalochordata) occupies a key position in animal evolution and is becoming the best available proxy and model animal for studying the last common ancestor of all chordates, especially vertebrates. As long-term continuous culturing of amphioxus in laboratory became reliable, for pushing this animal to be a more successful model system, whole-genome sequencing of one or more species derived from this branch will be another urgent issue needed to address. In the present study, we described the construction and characterization of a bacterial artificial chromosome (BAC) library, using a single individual of Chinese amphioxus (Branchiostoma belcheri).