Frequency-aware Uncertainty Gaussian Splatting for Dynamic Scene Reconstruction.

3D Gaussian splatting has recently achieved remarkable progress in dynamic scene reconstruction. However, there remain two practical challenges: (1) Existing methods typically employ a strict point-wise deformation structure to model dynamic attributes, while neglecting the uncertain motion correlation in local space, leading to inferior adaptability to complex scenes. (2) The inherent low-frequency bias properties of Gaussians often lead to blurring artifacts due to the insufficient high-frequency learning of variable motions.

Development of an injectable salicylic acid-choline eutectic hydrogel for enhanced treatment of periodontitis.

Periodontitis, a chronic inflammatory disease triggered by dental plaque, often presents challenges in management, particularly in severe cases where mechanical debridement alone may be insufficient. As a result, adjunctive therapies, particularly localized drug delivery systems with both antimicrobial and anti-inflammatory properties, are essential to enhance the efficacy of periodontitis management. In this study, we developed a multifunctional hydrogel by incorporating a salicylic acid-choline deep eutectic solvent (DES) into a chitosan/β-glycerol phosphate sodium (CS/GP) hydrogel matrix for the treatment of periodontitis.

Latent Code Augmentation Based on Stable Diffusion for Data-Free Substitute Attacks.

Since the training data of the target model is not available in the black-box substitute attack, most recent schemes utilize generative adversarial networks (GANs) to generate data for training the substitute model. However, these GANs-based schemes suffer from low training efficiency as the generator needs to be retrained for each target model during the substitute training process, as well as low generation quality. To overcome these limitations, we consider utilizing the diffusion model (DM) to generate data and propose a novel data-free substitute attack scheme based on stable diffusion (SD) to improve the efficiency and accuracy of substitute training.

Light and Magnetism Orchestrating Aquatic Pollutant-Degradation Robots in Programmable Trajectories.

Interfacial floating robots have promising applications in carriers, environmental monitoring, water treatment, and so on. Even though, engineering smart robots with both precisely efficient navigation and elimination of water pollutants in long term remains a challenge, as the superhydrophobicity greatly lowers resistance for aquatic motion while sacrificing chemical reactivity of the surface. Here, a pollutant-removing superhydrophobic robot integrated with well-assembled iron oxide-bismuth sulfide heterojunction composite minerals, which provide both light and magnetic propulsion, and the ability of catalytic degradation, is reported.

Self-Adaptive Antibacterial Scaffold with Programmed Delivery of Osteogenic Peptide and Lysozyme for Infected Bone Defect Treatment.

Bone defects caused by disease or trauma are often accompanied by infection, which severely disrupts the normal function of bone tissue at the defect site. Biomaterials that can simultaneously reduce inflammation and promote osteogenesis are effective tools for addressing this problem. In this study, we set up a programmed delivery platform based on a chitosan scaffold to enhance its osteogenic activity and prevent implant-related infections.

Inspired by the Periodontium: A Universal Bacteria-Defensive Hydrogel for Preventing Percutaneous Device-Related Infection.

Percutaneous device-related infection has greatly shortened the service period of devices and seriously reduced the quality of life of patients. Bacteria are one of the main pathogenic factors and cannot be effectively and conveniently eradicated by traditional strategies (e.g.