Clinical observation on fibrin glue technique in pterygium surgery performed with limbal autograft transplantation

AIM: To compare the efficiency and safety of fibrin glue to suture technique in pterygium surgery performed with limbal autograft.<p>METHODS: A prospective randomized clinical trial was carried out in 60 eyes of 48 patients operated for primary nasal pterygium. Autologous limbal graft taken from the superotemporal limbus was used to cover the sclera after pterygium excision under local anesthesia with 2% lidocaine. In 22 cases(30 eyes), the transplant was attached to the sclera with a fibrin tissue adhesive(group 1)and in 26 cases(30 eyes)with 10-0 Virgin silk sutures(group 2). Patients were followed up at least for 3 months. Time of operation, matching degree of graft and visual analogue scale(VAS)score were mainly observed and recorded. <p>RESULTS: Patient symptoms were significantly less and biomicroscopic findings were better in group 1. Pterygium recurrence was seen in 1 case of group 1, and 1 case of group 2. Average surgery time was shorter(<i>P</i><0.01)in fibrin group. <p>CONCLUSION: Using fibrin glue for graft fixation in pterygium surgery causes significantly less postoperative pain and shortens surgery time significantly

Measuring the boundary gapless state and criticality via disorder operator

The disorder operator is often designed to reveal the conformal field theory (CFT) information in the quantum many-body system. By using large-scale quantum Monte Carlo simulation, we study the scaling behavior of disorder operator on the boundary in the two-dimensional Heisenberg model on the square-octagon lattice with gapless topological edge state. In the Affleck-Kennedy-Lieb-Tasaki (AKLT) phase, the disorder operator is shown to hold the perimeter scaling with a logarithmic term associated with the Luttinger Liquid parameter K. This effective Luttinger Liquid parameter K reflects the low energy physics and CFT for (1+1)d boundary. At bulk critical point, the effective K is suppressed but keep finite value, indicating the coupling between the gapless edge state and bulk fluctuation. The logarithmic term numerically capture this coupling picture, which reveals the (1+1)d SU(2)_1 CFT and (2+1)d O(3) CFT at boundary criticality. Our work paves a new way to study the exotic boundary state and boundary criticality.Comment: 8 Pages,7 figure

Retracted: Effect of Paris polyphylla extract on seconddegree burns in rats

This article previously published in Volume 15 Issue 10 of this journal in October 2016 has beenretracted in line with the guidelines from the Committee on Publication Ethics (COPE,http://publicationethics.org/resources/guidelines)Retracted: Ma Z, Yin W, Hu G, Zhu Z, Huang Z. Effect of Paris polyphylla extract on second-degree burns in rats. Trop J Pharm Res 2016; 15(10):2131-2135 doi: http://dx.doi.org/10.4314/tjpr.v15i10.11From the EditorOur attention was drawn to the falsification of the data published in this article which was confirmed.The corresponding author, Zhi-jian Huang, failed to respond to communication in this respect.26 January 201

Effect of Paris polyphylla extract on second-degree burns in rats

Purpose: To investigate the healing effect of Paris polyphylla extract (PPE) on second-degree burns in rats.Methods: Male Sprague Dawley (SD) rats, weighing 200 – 220 g, were subjected to deep seconddegree skin burns by electrical scald instrument. The animals were divided into three groups as follows: (1) second-degree burn model (control) group, (2) burn model treated with 1 % silver sulfadiazine (SSD) group, and (3) burn model treated with 120 mg·mL-1 PPE group. On days 3, 7 and 14 following the administration of the drug/extract, wound area and histopathological changes in rat epidermis were evaluated for the three groups. The minimum inhibitory concentration (MIC) of PPE on Staphyloccocus aureus, Pseudomonas aeruginosa and Escherichia coli were also assessed.Results: On day 14, the mean wound area of PPE treatment group (0.21 ± 0.04 cm2) was significantly smaller than that of the control rats (2.78 ± 0.18 cm2, p &lt; 0.01). Histological results indicate that inflammatory cells disappeared and were replaced by new granulation tissue in the group treated with 120 mg·mL-1 PPE by day 14. Compared with SSD group rats, the inflammatory cells and fibroblast and granulation tissues of burnt rats with burns and treated with 120 mg·mL-1 PPE decreased significantly. The antibacterial data revealed that the MIC of PPE against S. aureus, P. aeruginosa and E. coli was 2.35, 8.2 and 4.70 mg·mL-1, respectively.Conclusion: Paris polyphylla is an effective medicinal herb that holds promise for the treatment of second-degree burns.Keywords: Paris polyphylla, Second-degree burns, Wound healing, Antibacterial, Inflammatory cells, Granulation tissues, Silver sulfadiazin

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to achieve. In this paper, we propose a novel sparse LiDAR point cloud semantic segmentation framework assisted by learned contextual shape priors. In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input. By merging multiple frames in the LiDAR sequence as supervision, the optimized SSC module has learned the contextual shape priors from sequential LiDAR data, completing the sparse single sweep point cloud to the dense one. Thus, it inherently improves SS optimization through fully end-to-end training. Besides, a Point-Voxel Interaction (PVI) module is proposed to further enhance the knowledge fusion between SS and SSC tasks, i.e., promoting the interaction of incomplete local geometry of point cloud and complete voxel-wise global structure. Furthermore, the auxiliary SSC and PVI modules can be discarded during inference without extra burden for SS. Extensive experiments confirm that our JS3C-Net achieves superior performance on both SemanticKITTI and SemanticPOSS benchmarks, i.e., 4% and 3% improvement correspondingly.Comment: To appear in AAAI 2021. Codes are available at https://github.com/yanx27/JS3C-Ne