Unsupervised heterogeneous domain adaptation for EEG classification.

Domain adaptation has been recognized as a potent solution to the challenge of limited training data for electroencephalography (EEG) classification tasks. Existing studies primarily focus on homogeneous environments, however, the heterogeneous properties of EEG data arising from device diversity cannot be overlooked. This motivates the development of heterogeneous domain adaptation methods that can fully exploit the knowledge from an auxiliary heterogeneous domain for EEG classification.

Harel-Yoon syndrome caused by a novel variant in ATAD3A: A case report.

Objectives: To describe the clinical feature of a very recently identified phenotype associated with ATAD3A variation.

Methods: A neonate with Harel-Yoon syndrome was identified. We describe the proband's clinical and radiological features.

Establishment of a nomogram model for predicting metabolic bone disease in preterm infants: A case‒control study.

Objective: To investigate risk factors for metabolic bone disease (MBD) in preterm infants and establish a nomogram model for predicting MBD risk.

Methods: A total of 1104 preterm infants were enrolled, among whom 809 were included in the modelling set and 295 were included in the validation set. The modelling set was divided into MBD (n = 185) and non-MBD (n = 624) groups.

Protective effects of timosaponin BII on oxidative stress damage in PC12 cells based on metabolomics.

Peroxide and oxygen free radicals are some of the causes of oxidative stress in brain tissue, and could lead to the change of brain structure and function. In addition, oxidative damage is one of the most important causes of the aging of the vast majority of tissues. The aim of this study is to investigate the protective effect of timosaponin BII on oxidative stress damage of PC12 induced by H O using metabolomics based on the UHPLC-Q-TOF-MS technique.