The influence mechanism of industrial policies on Chinese companies' cross-border M&A decision-making.

This study explored the potential links between Chinese industrial policy and cross-border mergers and acquisitions by Chinese firms from 2009 to 2019. Based on describing China's industrial strategy and evaluating the then-current situation of Chinese enterprises' cross-border mergers and acquisitions, this empirical study constructed a two-way fixed-effect panel model and an intermediate effect model to assess the mechanism of industrial policy's influence on Chinese enterprises' cross-border mergers and acquisitions decisions. The findings were as follows: (1) Industrial policy could promote the implementation of cross-border mergers and acquisitions of Chinese enterprises; (2) By easing financial restrictions, industrial policy could improve firms' access to capital and encourage cross-border mergers and acquisitions.

Robust quasi-uniform surface meshing of neuronal morphology using line skeleton-based progressive convolution approximation.

Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their irregular and complicated structures. In this paper, we develop a novel approach of constructing a watertight 3D mesh from the abstract point-and-diameter representation of the given neuronal morphology. The membrane shape of the neuron is reconstructed by progressively deforming an initial sphere with the guidance of the neuronal skeleton, which can be regarded as a digital sculpting process.

Rapid detection of acute myocardial infarction-related miRNA based on a Capture-interCalation-electroCatalysis (3C) strategy.

Acute myocardial infarction (AMI) is one of the most urgent and serious diseases that may cause cardiac death in a few hours. Rapid diagnosis of AMI is the pre-requisite for timely interventions. Recently, several specific circulating miRNAs have been proven to have high correlation with AMI.

Detection of microRNA SNPs with ultrahigh specificity by using reduced graphene oxide-assisted rolling circle amplification.

Here we report a reduced graphene oxide-assisted rolling circle amplification for the detection of miRNA SNPs. The difference of the signal of a miRNA SNP reaches 100 fold, a value over 10 times larger than some current methodologies, which allows the discrimination of a SNP even with the naked eye.

An ATP-responsive smart gate fabricated with a graphene oxide-aptamer-nanochannel architecture.

Here, we report a graphene oxide-aptamer-nanochannel architecture for the fabrication of a novel stimuli-responsive gate. The gate is switched OFF in the absence of ATP, and is switched ON when ATP is present. The concept we proposed may contribute to a versatile platform for the development of stimuli-responsive gates.