Glutathione-S-Transferase T1 Polymorphism is Associated with Esophageal Cancer Risk in Chinese Han Population

Weng, Yuan,Fei, Bojian,He, Ping,Cai, Ming Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.9

Background: Glutathione-S-Transferase T1 (GSTT1) gene has been shown to be involved in the development of esophageal cancer. However, the results have been inconsistent. In this study, the authors performed a meta-analysis to clarify the association between GSTT1 polymorphism and esophageal cancer risk among Chinese Han population. Methods: Published literature from PubMed, the China National Knowledge Infrastructure and Wanfang Data were searched. Pooled odds ratio (OR) and 95% confidence interval (95%CI) was calculated using a fixed- or random-effects model. Results: Eleven studies with a total of 2779 individuals were included in the meta-analysis. The results showed that GSTT1 null genotype was significantly associated with esophageal cancer risk in Chinese (OR = 1.31, 95%CI 1.12 to 1.53, p = 0.001). Further sensitivity analyses confirmed the significant association. The cumulative meta-analysis showed a trend of an obvious association between GSTT1 null genotype and esophageal cancer risk as information accumulated by year. Conclusions: This meta-analysis suggests a significant association of GSTT1 null genotype with esophageal cancer risk in the Chinese Han population.

Traditional Chinese Medicine as a Remedy for Male Infertility: A Review

Shao Hu Zhou,Yu Fei Deng,Zhi Wei Weng,Hao Wei Weng,Zhi Dan Liu 대한남성과학회 2019 The World Journal of Men's Health Vol.37 No.2

Male infertility (MI) is a complex multifactorial disease, and idiopathic infertility accounts for 30% of cases of MI. At present, the evidence for the effectiveness of empirical drugs is limited, and in vitro fertilization is costly and may increase the risk of birth defects and childhood cancers. Therefore, affected individuals may feel obliged to pursue natural remedies. Traditional Chinese medicine (TCM) may represent a useful option for infertile men. It has been demonstrated that TCM can regulate the hypothalamic-pituitary-testicular axis and boost the function of Sertoli cells and Leydig cells. TCM can also alleviate inflam-mation, prevent oxidative stress, reduce the DNA fragmentation index, and modulate the proliferation and apoptosis of germ cells. Furthermore, TCM can supply trace elements and vitamins, ameliorate the microcirculation of the testis, decrease the levels of serum anti-sperm antibody, and modify epigenetic markers. However, the evidence in favor of TCM is not compel-ling, which has hindered the development of TCM. This review attempts to elucidate the underlying therapeutic mechanisms of TCM. We also explore the advantages of TCM, differences between TCM and Western medicine, and problems in existing studies. Subsequently, we propose solutions to these problems and present perspectives for the future development of TCM.

The delamination of carbon fiber reinforced composites during cutting by flexible linear shaped charge

Jing Sun,Zhiguo Ma,Zhifeng Zhang,Fei Weng,Rong Chen 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.4

The delamination is a typical phenomenon when the carbon fiber reinforced composites (CFRC) undergoes blasting impact loading and the delamination will reduce both the strength and stiffness of the laminates, which can lead to catastrophic consequences while used as rocket skin. In this paper, the response of CFRC laminate is cut by flexible linear shaped charge (FLSC) and the delamination behavior of the CFRC is analyzed and discussed. The displacement interferometer system for any reflector (DISAR) is used to monitor the velocity of characteristic points of the laminate subjected to FLSC. Finite element analysis has been conducted to explain the mechanisms of delamination. Based on the numerical simulation, the influences of structural design parameters on the delamination effect of the CFRC after cutting are investigated. The results show that a large number of debris are produced at the center of the explosion and a small amount of large debris is produced at weakening groove on both sides. The delamination effect is greatly affected by the inter-laminar tensile strength and thickness of composite laminate, but it is not significantly affected by the linear density of the FLSC and stand-off.

Damage detection of subway tunnel lining through statistical pattern recognition

Yu, Hong,Zhu, Hong P.,Weng, Shun,Gao, Fei,Luo, Hui,Ai, De M. Techno-Press 2018 Structural monitoring and maintenance Vol.5 No.2

Subway tunnel structure has been rapidly developed in many cities for its strong transport capacity. The model-based damage detection of subway tunnel structure is usually difficult due to the complex modeling of soil-structure interaction, the indetermination of boundary and so on. This paper proposes a new data-based method for the damage detection of subway tunnel structure. The root mean square acceleration and cross correlation function are used to derive a statistical pattern recognition algorithm for damage detection. A damage sensitive feature is proposed based on the root mean square deviations of the cross correlation functions. X-bar control charts are utilized to monitor the variation of the damage sensitive features before and after damage. The proposed algorithm is validated by the experiment of a full-scale two-rings subway tunnel lining, and damages are simulated by loosening the connection bolts of the rings. The results verify that root mean square deviation is sensitive to bolt loosening in the tunnel lining and X-bar control charts are feasible to be used in damage detection. The proposed data-based damage detection method is applicable to the online structural health monitoring system of subway tunnel lining.

A biodegradable magnesium alloy sample induced rat osteochondral defect repair through Wnt/β-catenin signaling pathway

Zhao, Kexin,Chen, Yingqi,Yu, Fei,Jian, Weng,Zheng, Ming,Zeng, Hui Techno-Press 2022 Advances in nano research Vol.12 No.3

Many studies have shown that Mg-Nd-Zn-Zr (abbreviated as JDBM) alloy has good biocompatibility and biodegradability as well as promotion of cell adhesion, proliferation and differentiation, and Wnt/β-catenin signaling pathway may play a unique role in joint tissue by controlling the function of chondrocytes, osteoblasts and synoviocytes. However, it is not clear whether the JDBM alloy induces osteochondral repair through Wnt/β-catenin signaling pathway. This study aims to verify that JDBM alloy can repair osteochondral defects in rats, which is realized by Wnt/β-catenin signaling pathway. In this study, the osteochondral defect model of the right femoral condyle non-weight-bearing area in rats was established and randomly divided into three groups: Control group, JDBM alloy implantation group and JDBM alloy implantation combined with signaling pathway inhibitor drug ICRT3 injection. It was found that after JDBM alloy implantation, the bone volume fraction (BVF) became larger, the bone trabeculae were increased, the relative expression of osteogenesis gene Runx2, Bmp2, Opn, Ocn and chondrogenesis gene Collagen II, Aggrecan were increased, and the tissue repair was obvious by HE and Masson staining, which could be inhibited by ICRT3.

Resource Allocation for Heterogeneous Service in Green Mobile Edge Networks Using Deep Reinforcement Learning

( Si-yuan Sun ),( Ying Zheng ),( Jun-hua Zhou ),( Jiu-xing Weng ),( Yi-fei Wei ),( Xiao-jun Wang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

The requirements for powerful computing capability, high capacity, low latency and low energy consumption of emerging services, pose severe challenges to the fifth-generation (5G) network. As a promising paradigm, mobile edge networks can provide services in proximity to users by deploying computing components and cache at the edge, which can effectively decrease service delay. However, the coexistence of heterogeneous services and the sharing of limited resources lead to the competition between various services for multiple resources. This paper considers two typical heterogeneous services: computing services and content delivery services, in order to properly configure resources, it is crucial to develop an effective offloading and caching strategies. Considering the high energy consumption of 5G base stations, this paper considers the hybrid energy supply model of traditional power grid and green energy. Therefore, it is necessary to design a reasonable association mechanism which can allocate more service load to base stations rich in green energy to improve the utilization of green energy. This paper formed the joint optimization problem of computing offloading, caching and resource allocation for heterogeneous services with the objective of minimizing the on-grid power consumption under the constraints of limited resources and QoS guarantee. Since the joint optimization problem is a mixed integer nonlinear programming problem that is impossible to solve, this paper uses deep reinforcement learning method to learn the optimal strategy through a lot of training. Extensive simulation experiments show that compared with other schemes, the proposed scheme can allocate resources to heterogeneous service according to the green energy distribution which can effectively reduce the traditional energy consumption.