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Bare soil will cause soil erosion and contribute to air pollution through the generation of dust, making the timely and effective monitoring of bare soil an urgent requirement for environmental management. Although there have been some researches on bare soil extraction using high-resolution remote sensing images, great challenges still need to be solved, such as complex background interference and small-scale problems. In this regard, the Hybrid Attention Network (HA-Net) is proposed for automatic extraction of bare soil from high-resolution remote sensing images, which includes the encoder and the decoder. In the encoder, HA-Net initially utilizes BoTNet for primary feature extraction, producing four-level features. The extracted highest-level features are then input into the constructed Spatial Information Perception Module (SIPM) and the Channel Information Enhancement Module (CIEM) to emphasize the spatial and channel dimensions of bare soil information adequately. To improve the detection rate of small-scale bare soil areas, during the decoding stage, the Semantic Restructuring-based Upsampling Module (SRUM) is proposed, which utilizes the semantic information from input features and compensate for the loss of detailed information during downsampling in the encoder. An experiment is performed based on high-resolution remote sensing images from the China–Brazil Resources Satellite 04A. The results show that HA-Net obviously outperforms several excellent semantic segmentation networks in bare soil extraction. The average precision and IoU of HA-Net in two scenes can reach 90.9% and 80.9%, respectively, which demonstrates the excellent performance of HA-Net. It embodies the powerful ability of HA-Net for suppressing the interference from complex backgrounds and solving multiscale issues. Furthermore, it may also be used to perform excellent segmentation tasks for other targets from remote sensing images. [ABSTRACT FROM AUTHOR]

Biomaterial scaffolds have been widely used in tissue engineering. A functionalized self-assembled peptide scaffold named RADA16-OPD was designed by linking the short functional motif of osteopontine (OPN)-derived functional fragments SVVYGLR (OPD) to the C-terminus of the self-assembled peptide RADA16. Atomic force microscopy (AFM) was used to analyze the self-assembling peptide's structural composition. The live/dead staining results showed that RADA16-OPD is not toxic to rASC. After creating a rat skull defect model artificially, micro-CT results revealed that the defect area treated with RADA16-OPD hydrogel had higher bone volume/total volume (BV/TV), a higher trabecular number (TB.N.), and higher bone density (BMD) at different treatment time points. Histological evaluation found that there was more new bone and mature collagen production in the RADA16-OPD group. Meanwhile, the RADA16-OPD group had higher expression of alkaline phosphatase (ALP) and osteocalcin (OCN) than the other two groups. Additionally, immunofluorescence revealed that the RADA16-OPD group had higher levels of platelet/endothelial cell adhesion molecule 1 (CD31) expression than the other two groups. It demonstrated the potential for clinical use of the RADA16-OPD peptide scaffold by promoting bone regeneration and blood vessel development in vivo. [ABSTRACT FROM AUTHOR]

To improve product quality and osmotic efficiency, the effects of osmotic dehydration (OD) at 120 min and ultrasound-assisted osmotic dehydration (UOD) at 45 min on the nutrient composition, flavor, texture, microstructure, and water state in button mushrooms were investigated. In terms of nutrient composition, the results showed that UOD produced samples with reducing sugar, ascorbic acid, and soluble protein content at significantly higher rates than OD process. Meanwhile, UOD reduced the losses in titratable acidity, free amino acids, and 5′-nucleotides compared to the OD process, and the UOD samples also showed a better texture and microstructure. In addition, low-field nuclear magnetic resonance data revealed that the relative signal intensity of vacuole protons declined during OD process; meanwhile, the UOD was more efficient than the OD treatment. Overall, UOD process not only retained nutrient composition and flavor material more effectively but also improved the texture and efficiency of mushrooms treated with osmosis.