A research paper by scientists at University of Southern Denmark presented a multimodal limbless crawling soft robot capable of navigating complex terrains using a combination of rectilinear motion and asymmetric steering gaits.

The research paper was published on Jun. 9, 2025 in the journal Cyborg and Bionic Systems.

Psoriasis is a serious, incurable systemic disease that causes painful skin lesions and significantly increases the risk of cardiovascular disease, diabetes, and arthritis. It affects about 125 million people worldwide—roughly 2–3% of us—and too often demands lifelong treatment.

New research published in Nature shows that early treatment, within one year of disease onset, can significantly reduce the risk of relapse. Genetic profiling can support clinicians on precise diagnosis and timely treatment. Moving from one-size-fits-all care to durable and personalized healthcare.

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By introducing signed distance fields and three-dimensional convolutional neural networks, this method can significantly accelerate electrode design while maintaining high accuracy. It is widely applicable to fuel cells, water electrolyzers, flow batteries, etc.

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A research paper just published in Science China Life Sciences reports that Christensenella tenuis alleviates endotoxemia and metabolic disorders in obese mice via inhibition of intestinal lipopolysaccharide (LPS) translocation. The study uncovers a novel probiotic mechanism and suggests therapeutic potential for metabolic diseases.

Rapid progress of advanced laser sources have accelerated the development of laser ranging technologies, focusing on two comprehensive strategies: one is appealing to the promotion of measurement performances, and the other is simplifying the complexities of system architectures. Beyond the coherent-light counterpart, optical chaos originating from the laser nonlinear dynamics has fueled scenarios toward the parallel ranging for breaking the severe channel jamming. It has raised one striking question of how the “parallel chaos” could be upgraded and then reshape the light detection and ranging (LiDAR) ecosystem. Here, we introduce a multi-color pulsed chaos, by leveraging the accessible noise-like evolution in nonlinear dissipative systems to elevate a “single-pixel” architecture for parallel ranging. By the spectro-temporal manipulation, the broadband chaos can be tailored into multi-color parallelization without high-speed optoelectronics. Based on this chaos, the parallel ranging system achieves submillimeter-level ranging accuracy and throughput of hundreds of megahertz, as well as enabling a simplified architecture of a single transmitter, reference, and receiver. Our approach emphasizes the advancement in both the parallel ranging and the single-pixel architecture. Notably, the pulsed form of optical chaos offers revolutionary potential and catalyzes the progression of massively parallel ranging towards a new era.