CAD-NeRF rebuilds 3D scenes from < 10 images via ShapeNet CAD retrieval + self-supervised pose-density joint optimization

BG²VN toolbox generates Gaussian-based benchmark graphs with ground-truth vital nodes, offering the first standard test-bed for comparing vital-node mining algorithms

A novel electrochemical sensor using cheap conductive carbon black and a specific electrolyte provides a highly sensitive, stable, and simple method for detecting the antibiotic cefadroxil (CFL) in environmental water, pharmaceutical, and biological serum samples.

Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & Applications, systematically expounding on the cutting-edge developments in Surface-Enhanced Raman Scattering (SERS)-integrated optical waveguide technology. By reviewing two major technical pathways—remote sensing probes and microfluidic sensing platforms—the study thoroughly analyzes key innovations such as optical fiber structure design, SERS substrate modification, and the integration of emerging technologies. It clarifies the core advantages of this technology in improving detection sensitivity, simplifying operational procedures, and enabling miniaturization. The research not only summarizes the technological breakthroughs and application achievements in this field but also identifies future challenges such as large-scale fabrication and specificity optimization. It provides important academic references for the development of ultra-sensitive trace liquid detection technologies and is expected to drive innovations in detection technologies in fields such as biomedicine and environmental monitoring.

A new electrocatalyst combining iron phthalocyanine (FePc) with mesoporous Ti₃C₂ MXene significantly enhances oxygen reduction reaction (ORR) performance under alkaline conditions, achieving higher activity and stability than commercial platinum-based catalysts, and demonstrating great potential for application in zinc-air batteries.  

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), featuring a neural principle-based data augmentation technique (BGMix) and a Transformer-based model (AETF) to enhance EEG decoding efficiency.

In this paper, the existing AD methods for the PMSM drive system with LC sine wave filter are reviewed, including the modified AD methods based on inherent damping, conventional AD methods based on state variable feedback, modified AD methods with LPF and HPF based on state variable feedback and AD methods based on digital filter. A new expansion of AD method based on HPF-CCF is studied to ensure the effectiveness when the resonant frequency is around sixth of the sampling frequency. The stability, dynamic performance, robustness, and algorithm complexity of the AD methods are compared in detail and the suggestion of selecting the AD method in different industrial scenarios is summed as below.

1) When evaluating the stability of control system in terms of PM and GM, CCF, LPF-CCF, and the proposed HPF-CCF are comparatively more recommended.

2) In terms of the open-loop cutoff frequency, the proposed HPF-CCF is more recommended for realizing a better dynamic performance.

3) In terms of the Bode diagrams analysis and experimental results, LPF-CCF, HPF-MCF, and the proposed HPF-CCF are more recommended for ensuring control system robustness.

4) When considering the algorithmic complexity of the AD methods, only one parameter needs to be designed for CCF and ICF-SOGI.

Scientists show that molybdenum nanoparticles sprayed on leaves can suppress toxic cadmium uptake and harmful oxidative stress in rice Cadmium-contaminated soils threaten food safety worldwide, particularly rice safety in Asia. Researchers at Foshan University have discovered that foliar application of molybdenum nanoparticles (MoNPs) can reduce cadmium accumulation in rice roots while limiting oxidative damage. The findings demonstrate how targeted nanoparticle treatment modulates key molecular and biochemical pathways to improve plant resilience against metal stress, offering a promising strategy for safer food production in contaminated farmlands.

Proton exchange membrane fuel cells (PEMFCs) have attracted significant attention as sustainable energy technologies due to their efficient energy conversion and fuel flexibility. However, several challenges remain, such as low catalytic activity of fuel cell membrane electrode assembly (MEA), insufficient mass transfer performance, and performance degradation caused by catalyst deactivation over long period of operation. These issues are especially significant at high current densities, limiting both efficiency and operational lifespan. Mesoporous carbon materials, characterized by a high specific surface area, tunable pore structure, and excellent electrical conductivity, are emerging as crucial components for enhancing power density, mass transfer efficiency, and durability of PEMFCs. This review first discusses the properties and advantages of mesoporous carbon and outlines various synthetic strategies, including hard template, soft template, and template-free approaches. It then comprehensively examines the applications of mesoporous carbon in PEMFCs, focusing on their effects on the catalyst and gas diffusion layer. Finally, it concludes with future perspectives, emphasizing the need for further research to fully exploit the potential of mesoporous carbon in PEMFCs.