Laser scribed proton exchange membranes for enhanced fuel cell performance and stability.

High-temperature proton exchange membrane fuel cells (HT-PEMFCs) offer solutions to challenges intrinsic to low-temperature PEMFCs, such as complex water management, fuel inflexibility, and thermal integration. However, they are hindered by phosphoric acid (PA) leaching and catalyst migration, which destabilize the critical three-phase interface within the membrane electrode assembly (MEA). This study presents an innovative approach to enhance HT-PEMFC performance through membrane modification using picosecond laser scribing, which optimises the three-phase interface by forming a graphene-like structure that mitigates PA leaching.

Water-Enabled Electricity Generation by a Smooth Liquid-Like Semiconductor Coating Surface.

Water energy-converting techniques that focus on interfacial charge separation and transfer have aroused significant attention. However, the water-repelling nature leads to a less dense liquid layer and a sharp gradient of liquid velocity, which limits its output performance. Here, a water sliding generator (WSG) based on a smooth liquid-like/semiconductor surface (SLSS) is developed that harnesses the full advantage of liquid sliding friction.

Cognitive and cortical network alterations in pediatric temporal lobe space-occupying lesions: an fMRI study.

Background: Temporal lobe mass lesions are the most common intracranial space-occupying lesions in children, among various brain lobes. The temporal lobe is critically involved in higher cognitive functions, and surgical interventions often risk causing damage to these functions. If necessary interventions and prehabilitation can be conducted preoperatively, it might be possible to achieve a larger extent of lesion resection with minimal cognitive impairment.

HiSVision: A Method for Detecting Large-Scale Structural Variations Based on Hi-C Data and Detection Transformer.

Structural variation (SV) is an important component of the diversity of the human genome. Many studies have shown that SV has a significant impact on human disease and is strongly associated with the development of cancer. In recent years, the Hi-C sequencing technique has been shown to be useful for detecting large-scale SVs, and several methods have been proposed for identifying SVs from Hi-C data.