Stable high-oxidation-state complex in situ Mn(V)-Mn(III) transition to achieve highly efficient cervical cancer therapy.

Designing metal complexes to target the vulnerable redox balance in cancer cells is a promising strategy to realize successful cancer therapy. The synthesized stable nitridomanganese(V) complex MnV(N) (salen) not only reacts with GSH to achieve in situ Mn(V)-Mn(III) transformation to down-regulate the antioxidant system, but also catalyzes H2O2 to higher oxidation capacity ROS to up-regulate the intracellular oxidative level, finally resulting in cancer cell death.

Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data.

Fault detection and diagnosis (FDD) has received considerable attention with the advent of big data. Many data-driven FDD procedures have been proposed, but most of them may not be accurate when data missing occurs. Therefore, this paper proposes an improved random forest (RF) based on decision paths, named DPRF, utilizing correction coefficients to compensate for the influence of incomplete data. In this DPRF model, intact training samples are firstly used to grow all the decision trees in the RF. Then, for each test sample that possibly contains missing values, the decision paths and the corresponding nodes importance scores are obtained, so that for each tree in the RF, the reliability score for the sample can be inferred. Thus, the prediction results of each decision tree for the sample will be assigned to certain reliability scores. The final prediction result is obtained according to the majority voting law, combining both the predicting results and the corresponding reliability scores. To prove the feasibility and effectiveness of the proposed method, the Tennessee Eastman (TE) process is tested. Compared with other FDD methods, the proposed DPRF model shows better performance on incomplete data.

Tissue- and stage-specific expression of a fatty acid binding protein-like gene from amphioxus Branchiostoma belcheri.

A cDNA clone encoding an amphioxus fatty acid binding protein-like (AmphiFABPL) protein was isolated from a gut cDNA library of Branchiostoma belcheri. It contained a 423 bp open reading frame corresponding to a deduced protein of 140 amino acids with a predicted molecular mass of approximately 15.9 kDa. Phylogenetic analysis showed that AmphiFABPL fell outside the vertebrate clade of fatty acid binding proteins (FABPs), being positioned at the base of the chordate lineage, and was almost equally homologous to various vertebrate FABPs, suggesting that it may be the archetype of vertebrate FABPs. Both northern blotting and in situ hybridization analyses demonstrated that AmphiFABPL was expressed in the hepatic caecum and hind-gut, and although at a much lower level, it was also present in the endostyle, ovary and testis. In addition, whole-mount in situ hybridization revealed that AmphiFABPL was initially expressed in the posterior two thirds of the primitive gut, including the mid-gut where the hepatic caecum will form later, in 2-day larvae. The expression pattern is closely similar to that of the L-FABP and I-FABP genes in vertebrates, supporting the hypothesis that the hepatic caecum in the amphioxus is homologous to the vertebrate liver.