Dipole-Modulated Charge Transport through PNP-Type Single-Molecule Junctions.

The PNP structure realized by energy band engineering is widely used in various electronic and optoelectronic devices. In this work, we succeed in constructing a PNP-type single-molecule junction and explore the intrinsic characteristics of the PNP structure at the single-molecule level. A back-to-back azulene molecule is designed with opposite ∼1.

Seizure Prediction in EEG Signals Using STFT and Domain Adaptation.

Epileptic seizure prediction is one of the most used therapeutic adjuvant strategies for drug-resistant epilepsy. Conventional approaches commonly collect training and testing samples from the same patient due to inter-individual variability. However, the challenging problem of domain shift between various subjects remains unsolved, resulting in a low conversion rate to the clinic.

A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power.

Epileptic seizure prediction is one of the most used therapeutic adjuvant strategies for drug-resistant epilepsy. Conventional methods usually adopt handcrafted features and manual parameter setting. The over-reliance on the expertise of specialists may lead to weak exploitation of features and low popularization of clinical application.

Simple, sensitive and label-free electrochemical detection of microRNAs based on the in situ formation of silver nanoparticles aggregates for signal amplification.

This work presented a simple, sensitive and label-free electrochemical method for the detection of microRNAs (miRNAs). It is based on the boronate ester covalent interaction between 4-mercaptophenylboronic acid (MPBA) and cis-diol at the 3'-terminal of miRNAs and the MPBA-induced in situ formation of citrate-capped silver nanoparticles (AgNPs) aggregates as labels on the electrode surface. In this design, MPBA acted as the cross-linker of AgNPs assembly.