A Heterogeneous Graph to Abstract Syntax Tree Framework for Text-to-SQL.

Text-to-SQL is the task of converting a natural language utterance plus the corresponding database schema into a SQL program. The inputs naturally form a heterogeneous graph while the output SQL can be transduced into an abstract syntax tree (AST). Traditional encoder-decoder models ignore higher-order semantics in heterogeneous graph encoding and introduce permutation biases during AST construction, thus incapable of exploiting the refined structure knowledge precisely.

WTS-1/LATS regulates endocytic recycling by restraining F-actin assembly in a synergistic manner.

The disruption of endosomal actin architecture negatively affects endocytic recycling. However, the underlying homeostatic mechanisms that regulate actin organization during recycling remain unclear. In this study, we identified a synergistic endosomal actin assembly restricting mechanism in C.

Overexpression of miR-146a promotes cell proliferation and migration in a model of diabetic foot ulcers by regulating the AKAP12 axis.

In the current study, we aimed to study the effect of miR-146a on proliferation and migration in an in vitro diabetic foot ulcer (DFU) model by targeting A-kinase-anchoring protein 12 (AKAP12). An in vitro DFU model was initially established using HaCaT cells derived from human keratinocytes and induced by advanced glycation end products (AGEs). The effects of overexpression of miR-146a on proliferation and migration ability were analysed.

MicroRNA screening identifies circulating microRNAs as potential biomarkers for osteosarcoma.

MicroRNAs (miRNAs) are a family of small non-protein coding RNAs, which regulate the expression of a wide variety of genes at the post-transcriptional level to control numerous biological and pathological processes. Various circulating miRNAs have been identified as potential diagnostic and prognostic biomarkers in multiple types of cancer and disease. The aim of the present study was to identify potential miRNA biomarkers for the early diagnosis and relapse prediction of osteosarcoma (OS).