Insufficient bone volume is one of the major challenges encountered by dentists after dental implant placement. This study aimed to evaluate the efficacy of a customized three-dimensional polycaprolactone (3D PCL) scaffold implant fabricated with a 3D bio-printing system to facilitate rapid alveolar bone regeneration. Saddle-type bone defects were surgically created on the healed site after extracting premolars from the mandibles of four beagle dogs. The defects were radiologically examined using computed tomography for designing a customized 3D PCL scaffold block to fit the defect site. After fabricating 3D PCL scaffolds using rapid prototyping, the scaffolds were implanted into the alveolar bone defects along with β-tricalcium phosphate powder. In vivo analysis showed that the PCL blocks maintained the physical space and bone conductivity around the defects. In addition, no inflammatory infiltrates were observed around the scaffolds. However, new bone formation occurred adjacent to the scaffolds, rather than directly in contact with them. More new bone was observed around PCL blocks with 400/1200 lattices than around blocks with 400/400 lattices, but the difference was not significant. These results indicated the potential of 3D-printed porous PCL scaffolds to promote alveolar bone regeneration for defect healing in dentistry.

In this study, we designed scaffolds coated with gold nanoparticles (GNPs) grown on a polydopamine (PDA) coating of a three-dimensional (3D) printed polycaprolactone (PCL) scaffold. Our results demonstrated that the scaffolds developed here may represent an innovative paradigm in bone tissue engineering by inducing osteogenesis as a means of remodeling and healing bone defects.

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The recovery of amino acids and other important bioactive compounds from the comb penshell (Atrina pectinata) using subcritical water hydrolysis was performed. A wide range of extraction temperatures from 140 to 290 °C was used to evaluate the release of proteins and amino acids. The amount of crude protein was the highest (36.14 ± 1.39 mg bovine serum albumin/g) at 200 °C, whereas a further increase in temperature showed the degradation of the crude protein content. The highest amount of amino acids (74.80 mg/g) was at 230 °C, indicating that the temperature range of 170–230 °C is suitable for the extraction of protein-rich compounds using subcritical water hydrolysis. Molecular weights of the peptides obtained from comb penshell viscera decreased with the increasing temperature. SDS-PAGE revealed that the molecular weight of peptides present in the hydrolysates above the 200 °C extraction temperature was ≤ 1000 Da. Radical scavenging activities were analyzed to evaluate the antioxidant activities of the hydrolysates. A. pectinata hydrolysates also showed a particularly good antihypertensive activity, proving that this raw material can be an effective source of amino acids and marine bioactive peptides.

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The multi-view video is a collection of multiple videos, capturing the same scene at different viewpoints. Since it contains more affluent information than a single video, it can be applied to various applications, such as 3DTV, free viewpoint TV, surveillance, sports matches, and so on. However, the data size of the multi-view video linearly increases as the number of cameras, therefore it is necessary to develop an effective framework to represent, process, and transmit those huge amounts of data. In recent, multi-view video coding is getting lots of attention as efficient video coding technologies are being developed. Although most of multi-view video coding algorithms are based on the state-of-the-art H.264/AVC video coding technology, they do not utilize rich 3-D information. In this paper, we propose a new framework using the concept of layered depth image (LDI), one of the efficient image-based rendering techniques, to efficiently represent and process multi-view video data. We describe how to represent natural multi-view video based on the LDI approach and the overall framework to process those converted data.

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