Adaptive deep feature representation learning for cross-subject EEG decoding.

Background: The collection of substantial amounts of electroencephalogram (EEG) data is typically time-consuming and labor-intensive, which adversely impacts the development of decoding models with strong generalizability, particularly when the available data is limited. Utilizing sufficient EEG data from other subjects to aid in modeling the target subject presents a potential solution, commonly referred to as domain adaptation. Most current domain adaptation techniques for EEG decoding primarily focus on learning shared feature representations through domain alignment strategies.

Electromagnetic metamaterial agent.

Metamaterials have revolutionized wave control; in the last two decades, they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. Although deep-learning techniques play an increasingly important role in metamaterial inverse design, measurement post-processing and end-to-end optimization, their role is ultimately still limited to approximating specific mathematical relations; the metamaterial is still limited to serving as proxy of a human operator, realizing a predefined functionality. Here, we propose and experimentally prototype a paradigm shift toward a metamaterial agent (coined metaAgent) endowed with reasoning and cognitive capabilities enabling the autonomous planning and successful execution of diverse long-horizon tasks, including electromagnetic (EM) field manipulations and interactions with robots and humans.

Structural insights into the biochemical mechanism of the E2/E3 hybrid enzyme UBE2O.

The E2/E3 hybrid enzyme UBE2O plays important roles in key biological events, but its autoubiquitination mechanism remains largely unclear. In this study, we determined the crystal structures of full-length (FL) UBE2O from Trametes pubescens (tp) and its ubiquitin-conjugating (UBC) domain. The dimeric FL-tpUBE2O structure revealed interdomain interactions between the conserved regions (CR1-CR2) and UBC.

The de novo synthesis of GABA and its gene regulatory function control hepatocellular carcinoma metastasis.

The neurotransmitter gamma-aminobutyric acid (GABA) has been thought to be involved in the development of some types of cancer. Yet, the de novo synthesis of GABA and how it functions in hepatocellular carcinoma (HCC) remain unclear. Here, we report that SLC6A12 acts as a transporter of GABA, and that aldehyde dehydrogenase 9 family member A1 (ALDH9A1), not glutamate decarboxylase 1 (GAD1), generates GABA in human HCC.

Online control ability affects precision fitting performances of long-term Tai Chi practitioners in older adults.

Background: Age-related decline in goal-directed behavior could be risky for older adults to maintain daily activities. Our previous studies have shown that long-term Tai Chi (TC) practice could improve motor performance and postural control during goal-directed tasks. However, there was a paucity of studies examining TC's effects on online control of goal-directed action.