Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training.

[This corrects the article DOI: 10.1371/journal.pone.

Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training.

Phoneme pronunciations are usually considered as basic skills for learning a foreign language. Practicing the pronunciations in a computer-assisted way is helpful in a self-directed or long-distance learning environment. Recent researches indicate that machine learning is a promising method to build high-performance computer-assisted pronunciation training modalities.

Macrocyclic compounds as anti-cancer agents: design and synthesis of multi-acting inhibitors against HDAC, FLT3 and JAK2.

A novel series of macrocyclic compounds were designed and synthesized as multi-target inhibitors targeting HDAC, FLT3 and JAK2. Some of these compounds exhibited potent HDAC inhibition as well as FLT3 and JAK2 inhibition under both cell-free and cellular conditions. In vitro antiproliferative assay indicated that these compounds were interestingly more cytotoxic to MV4-11 cells bearing FLT3-ITD mutation and HEL cells bearing JAK2(V617F) mutation.

Design, synthesis and biological evaluation of di-substituted cinnamic hydroxamic acids bearing urea/thiourea unit as potent histone deacetylase inhibitors.

A novel class of di-substituted cinnamic hydroxamic acid derivatives containing urea or thiourea unit was designed, synthesized and evaluated as HDAC inhibitors. All tested compounds demonstrated significant HDAC inhibitory activities and anti-proliferative effects against diverse human tumor cell lines. Among them, 7l exhibited most potent pan-HDAC inhibitory activity, with an IC50 value of 130 nM.