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Fengbo Zhu,1,* Qiuxia Li,1,* Ying Yang,2 Liangui Wang,1 Jing Wang3 1Department of Gastroenterology, Jinan Fifth People’s Hospital, Jinan City, Shandong Province 250022, People’s Republic of China; 2Department of Hyperbaric Oxygen, Jinan Fifth People’s Hospital, Jinan City, Shandong Province 250022, People’s Republic of China; 3Department of Anesthesiology, Jinan Fifth People’s Hospital, Jinan City, Shandong Province 250022, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jing WangDepartment of Anesthesiology, Jinan Fifth People’s Hospital, No. 24297, Jingshi Road, Jinan City, Shandong Province 250022, People’s Republic of ChinaTel +86-18615280204Email wangjingdw128@163.comPurpose: This study aimed to investigate the anti-tumor effect of propofol on gastric cancer (GC) and its underlying mechanisms.Patients and methods: SGC-7901 and MKN45 cells were transfected and divided into the following groups: Control group, Propofol group, Propofol+miR-140-5p inhibitor group and miR-140-5p inhibitor group. Moreover, cell proliferation, apoptosis, migration and invasion of SGC-7901 and MKN45 cells were evaluated by BrdU incorporation assay, Annexin V-FITC/PI double staining assay, wound healing assay and transwell assay, respectively. The mRNA expressions of matrix metalloproteinase 2 (MMP-2) and MMP-9 were detected by qRT-PCR. Cleaved caspase-3, Bcl-2, MMP-2 and MMP-9 expressions were detected by Western blot.Results: Propofol inhibited cell proliferation, migration and invasion, but promoted cell apoptosis in SGC-7901 and MKN45 cells. Propofol also elevated the expression of miR-140-5p. Suppression of miR-140-5p could reverse the effects of propofol on the biological behavior of SGC-7901 and MKN45 cells. Meanwhile, propofol treatment increased the expression of cleaved caspase-3 but decreased Bcl-2, MMP-2 and MMP-9 in SGC-7901 and MKN45 cells. The expression of cleaved caspase-3 was downregulated while Bcl-2, MMP-2 and MMP-9 were upregulated by miR-140-5p suppression.Conclusion: Propofol could inhibit cell proliferation, migration and invasion, as well as promote cell apoptosis by upregulating miR-140-5p in gastric cancer cells.Keywords: propofol, gastric cancer, miR-140-5p, migration, proliferation, apoptosis

The truncated signed distance field (TSDF) has been applied as a fast, accurate, and flexible geometric fusion method in 3D reconstruction of industrial products based on a hand-held laser line scanner. However, this method has some problems for the surface reconstruction of thin products. The surface mesh will collapse to the interior of the model, resulting in some topological errors, such as overlap, intersections, or gaps. Meanwhile, the existing TSDF method ensures real-time performance through significant graphics processing unit (GPU) memory usage, which limits the scale of reconstruction scene. In this work, we propose three improvements to the existing TSDF methods, including: (i) a thin surface attribution judgment method in real-time processing that solves the problem of interference between the opposite sides of the thin surface, we distinguish measurements originating from different parts of a thin surface by the angle between the surface normal and the observation line of sight, (ii) a post-processing method to automatically detect and repair the topological errors in some areas where misjudgment of thin-surface attribution may occur, (iii) a framework that integrates the central processing unit (CPU) and GPU resources to implement our 3D reconstruction approach, which ensures real-time performance and reduces GPU memory usage. The proposed results show that this method can provide more accurate 3D reconstruction of a thin surface, which is similar to the state-of-the-art laser line scanners with 0.02 mm accuracy. In terms of performance, the algorithm can guarantee a frame rate of more than 60 frames per second (FPS) with the GPU memory footprint under 500 MB. In total, the proposed method can achieve a real-time and high-precision 3D reconstruction of a thin surface.

In this paper,one of the key elements of intelligent data processing in digital photogrammetry is discussed based on machine vision:efficient management technology of massive point cloud,an improved algorithm for hash mapping 3D data on GPU is proposed.The algorithm can efficiently perform dynamic insertion,update and indexing of data without the limitation of data scale.We applied the algorithm to TSDF (truncated signed distance field) algorithm for point cloud fusion,which can reduce the noise of single frame and the data registration error between different frames in a very efficient way.Currently,most of the data structures of point cloud fusion algorithms are regular or hierarchical grid data structures,so the object bounding boxes should be specified in advance.Moreover,the hierarchical data structure is complex and hard to parallelization.Therefore,the requirements of dynamic scalability,updating and indexing data of real-time 3D reconstruction cannot be satisfied.This paper exploited hash map to manage 3D data.At the same time,the current active region could be estimated with sensor motion to exchange data between host and GPU,keeping low memory utilization of GPU.In the experiments on different levels of graphics cards(GTX960,GTX1050,GTX1060),the algorithm can satisfy the real-time frame rate requirements(60 fps,2.11×105 points per frame),so it meets the requirement of efficient management of 3D point cloud data in three-dimensional imaging.