Hubei University of Technology

Neural Radiance Fields (NeRF) have demonstrated remarkable performance in the field of novel view synthesis (NVS). However, their high computational cost limits practical applicability. The 3D Gaussian Splatting (3DGS) method offers a significant improvement in rendering efficiency, enabling real-time rendering through its explicit representations. Nevertheless, its substantial storage requirements pose challenges for complex scenes and resource-constrained devices. Existing methods aim to achieve storage compression through redundant point pruning, spherical harmonics adjustment, and vector quantization. However, point pruning methods often compromise geometric details in complex structures, while vector quantization approaches fail to capture feature relationships effectively, resulting in texture degradation and geometric boundary blurring. Although anchor point representations partially address storage concerns, their sparse representation limits compression efficiency. These limitations become particularly evident in scenes with intricate textures and complex lighting conditions. To ensure optimal compression ratios while maintaining high fidelity in Gaussian scenarios, this paper proposes an Attention-Aware Adaptive Codebook Gaussian Splatting (AAC-GS) method for efficient storage compression. The approach dynamically adjusts the size of the codebook to optimize storage efficiency and incorporates an attention mechanism to capture feature contextual relationships, thereby enhancing reconstruction quality. Additionally, a Generative Adversarial Network (GAN) is employed to mitigate quantization losses, achieving a balance between compression rate and visual fidelity. Experimental results demonstrate that AAC-GS achieves an average compression ratio of approximately 40× while maintaining high reconstruction quality, showcasing its potential for multi-scene applications.

As an excellent textural regulator as well as health promoter, Konjac glucomannan (KGM) demonstrates promising potential for the development of functional foods.This study proposes that deacetylation-induced aggregates of KGM, with enhanced amphiphilicity and altered morphol. properties, exhibit potential in stabilizing oil-in-water emulsions.Deacetylated KGM aggregates (DKs) were prepared via alk.-thermal treatment, and the deacetylation degree could be regulated by alkali concentrationAnal. of Zeta-potential, deacetylation degree, and FT-IR spectra collectively confirm that KGM aggregation is driven by the removal of acetyl groups.Phys. properties of DKs were characterized by visual appearance, microscopic morphol., rheol. behavior, and three-phase contact angle.Results reveal that appropriate deacetylation (27.26 %) induces mol.-scale aggregation of KGM, which enhances amphiphilicity while preserving the viscosity of DKs suspensions.Emulsification assays indicate distinct interfacial stabilizing mechanism between KGM and DKs.Attributed to higher viscosity and better interfacial adsorption, DK-6 (27.26 % deacetylation) suspensions could ensure the long-term stability, thermal stability, and NaCl tolerance of emulsions.By clarifying the emulsifying potential of DKs, this study offers novel perspectives for developing polysaccharides-based food emulsifiers.

Deep eutectic solvents (DESs) emerge as a transformative green platform for overcoming critical limitations in conventional pulping (environmental impact, inefficiency) and dissolving pulp upgrading (balancing high reactivity with eco-friendly processing). Their unique tunability, sustainability, and biocompatibility enable selective disruption of lignocellulosic materials and targeted modification of cellulose properties, promoting biomass valorization. This review critically elaborates recent advances in DESs-driven pulping and dissolving pulp upgrading, establishing vital structure-property-application relationships to guide sustainable biorefinery design. Specifically, the DESs compositions and their interactions with lignocellulosic components was analyzed. Next, the DESs pulping technologies across diverse lignocellulosic feedstocks and inherent limitations were systematically summarized. Subsequently, the DESs applications in dissolving pulp upgrading through single DESs system and process intensification strategies were discussed. Concurrently, the advanced computational methods for rational DESs screening were examined. Building on this foundation, the prevailing challenges and future perspectives for industrial implementation of DESs pulping and dissolving pulp valorization were proposed. This work consolidates critical insights to advance sustainable lignocellulosic biorefining through DESs innovation.