Analysis of large concrete storage tank under seismic response

Jingyuan Li,Xiaochuan You,Hongcheng Cui,Qiang He,Jinsan Ju 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.1

This study adopted the finite element software ABAQUS to trace the dynamic response history of large reinforced concrete storagetank during different seismic excitations. The dynamic characteristics and failure modes of the tank’s structure were investigated by consideringthe rebar’s effect. Calculation results show that the large concrete storage tank remains in safe working conditions under a seismicacceleration of 55 cm/s2. The joint of the concrete wall and dome begins to crack when seismic acceleration reaches 250 cm/s2. Asthe earthquake continues, cracks spread until the top of the wall completely fails and stops working. The maximum displacement of theconcrete tank and seismic acceleration are in proportion. Peak displacement and stress of the tank always appear behind the maximumacceleration.

Development and validation of a prognostic model based on metabolic risk score to predict overall survival of endometrial cancer in Chinese patients

Xingchen Li,Xiao Yang,Yuan Cheng,Yangyang Dong,Jingyuan Wang,Jianliu Wang 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.6

Objective: Metabolic syndrome (MetS) is closely related to the increased risk and poor prognosis of endometrial cancer (EC). The purpose of this study was to analyze the relationship between metabolic risk score (MRS) and EC, and establish a predictive model to predict the prognosis of EC. Methods: A retrospective study was designed of 834 patients admitted between January 2004 to December 2019. Univariate and multivariate Cox analysis were performed to screen independent prognostic factors for overall survival (OS). A predictive nomogram is built based on independent risk factors for OS. Consistency index (C-index), calibration plots and receiver operating characteristic curve were used to evaluate the predictive accuracy of the nomogram. Results: The patients were randomly divided into training cohort (n=556) and validation cohort (n=278). The MRS of EC patients, ranging from −8 to 15, was calculated. Univariate and multivariate Cox analysis indicated that age, MRS, FIGO stage, and tumor grade were independent risk factors for OS (p<0.05). The Kaplan–Meier analysis demonstrated that EC patients with low score showed a better prognosis in OS. Then, a nomogram was established and validated based on the above four variables. The C-index of nomogram were 0.819 and 0.829 in the training and validation cohorts, respectively. Patients with high-risk score had a worse OS according to the nomogram. Conclusion: We constructed and validated a prognostic model based on MRS and clinical prognostic factors to predict the OS of EC patients accurately, which may help clinicians personalize prognostic assessments and effective clinical decisions.

Influence Factors of the V2G Economic Benefits of Pure Electric Logistics Vehicles: A Case Study in Chengdu

Zhang Hao,Liu Yu,Li Jingyuan,Yu Hanzhengnan,Xu Hang,Ma Kunqi,Liang Yongkai,An Xiaopan,Hu Xi 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.5

Under the background that electric vehicles cause enormous supply pressure on the grid, the application of vehicle-to-grid (V2G) technology can effectively alleviate supply pressure and also bring more economic benefits. Considering conditions for participating in V2G, pure electric logistics fleets have the advantages of stable work end time and large remaining power. In this paper, the economic benefits of the pure electric logistics fleet participating in V2G and the influence factors of the V2G profit are studied. Firstly, the travel data of a pure electric logistics fleet in Chengdu, China is collected. Secondly, the V2G profit model is established to quantify the economic benefits. Then, 4 V2G scenario modes are proposed based on window duration, window start time, SOC lower limit and discharge price. Finally, the change law and influence factors of the V2G profit in each V2G scenario mode are studied from the perspective of the discharge revenue, charge cost and battery loss cost. The results show that the V2G profit increases with the extension of window duration, the delay of window start time, the decrease of SOC lower limit and the increase of discharge price. The average profit of logistics fleets ranges from 3.94 RMB/(vehicleday) to 65.54 RMB/(vehicleday).

REAL-ROAD DRIVING AND FUEL CONSUMPTION CHARACTERISTICS OF PUBLIC BUSES IN SOUTHERN CHINA

Hanzhengnan Yu,Yu Liu,Jingyuan Li,Hai Liu,Kunqi Ma 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.1

In this paper, the annual data of 40 public buses fueled with diesel in four cities in southern China have been analyzed for investigating the driving and fuel consumption characteristics. Results showed that the best traffic condition and smoothest driving style were obtained in Fuzhou, which was exact opposite to the results in Wuhan. And the driving characteristics of each city was weakly affected by the season’s variation. The fuel consumption characteristics of the public buses in different cities were studied by the method based on VSP (Vehicle Specific Power) model, and the fuel consumption factors in different cities and seasons have been given. The main factors influenced the fuel consumption characteristics could be summarized by the variations of driving characteristics and air conditioning using. The high fuel consumption was concentrated in region with low vehicle velocity range of 0 ~ 10 km/h, and the proportion of this vehicle range directly affected the average fuel consumption level. The effect of the air conditioning using on fuel consumption was especially obvious in summer and winter, and the using of air conditioning would increase about 10 % of the total vehicle fuel consumption.

Phenolic acids in Panax ginseng inhibit melanin production through bidirectional regulation of melanin synthase transcription via different signaling pathways

Jianzeng Liu,Xiaohao Xu,Jingyuan Zhou,Guang Sun,Zhenzhuo Li,Lu Zhai,Jing Wang,Rui Ma,Daqing Zhao,Rui Jiang,Liwei Sun 고려인삼학회 2023 Journal of Ginseng Research Vol.47 No.6

Background: Our previous investigation indicated that the preparation of Panax ginseng Meyer(P. ginseng) inhibited melanogenesis. It comprised salicylic acid (SA), protocatechuic acid (PA), p-coumaricacid (p-CA), vanillic acid (VA), and caffeic acid (CA). In this investigation, the regulatory effects ofP. ginseng phenolic acid monomers on melanin production were assessed. Methods: In vitro and in vivo impact of phenolic acid monomers were assessed. Results: SA, PA, p-CA and VA inhibited tyrosinase (TYR) to reduce melanin production, whereas CA hadthe opposite effects. SA, PA, p-CA and VA significantly downregulated the melanocortin 1 receptor(MC1R), cycle AMP (cAMP), protein kinase A (PKA), cycle AMP-response element-binding protein (CREB),microphthalmia-associated transcription factor (MITF) pathway, reducing mRNA and protein levels ofTYR, tyrosinase-related protein 1 (TYRP1), and TYRP2. Moreover, CA treatment enhanced the cAMP, PKA,and CREB pathways to promote MITF mRNA level and phosphorylation. It also alleviated MITF proteinlevel in a-MSH-stimulated B16F10 cells, comparable to untreated B16F10, increasing the expression ofphosphorylation glycogen synthase kinase 3b (p-GSK3b), b-catenin, p-ERK/ERK, and p-p38/p38. Furthermore, the GSK3b inhibitor promoted p-GSK3b and p-MITF expression, as observed in CA-treatedcells. Moreover, p38 and ERK inhibitors inhibited CA-stimulated p-p38/p38, p-ERK/ERK, and p-MITFincrease, which had negative binding energies with MC1R, as depicted by molecular docking. Conclusion: P. ginseng roots' phenolic acid monomers can safely inhibit melanin production by bidirectionallyregulating melanin synthase transcription. Furthermore, they reduced MITF expression viaMC1R/cAMP/PKA signaling pathway and enhanced MITF post-translational modification via Wnt/mitogen-activated protein kinase signaling pathway.

Ginsenoside Rg3 ameliorates myocardial glucose metabolism and insulin resistance via activating the AMPK signaling pathway

Jingyu Ni,Zhihao Liu,Miaomiao Jiang,Lan Li,Jie Deng,Xiaodan Wang,Jing Su,Yan Zhu,Feng He,Jingyuan Mao,Xiumei Gao,Guanwei Fan 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.2

Background: Ginsenoside Rg3 is one of the main active ingredients in ginseng. Here, we aimed to confirm its protective effect on the heart function in transverse aortic coarctation (TAC)-induced heart failure mice and explore the potential molecular mechanisms involved. Methods: The effects of ginsenoside Rg3 on heart and mitochondrial function were investigated by treating TAC-induced heart failure in mice. The mechanism of ginsenoside Rg3 for improving heart and mitochondrial function in mice with heart failure was predicted through integrative analysis of the proteome and plasma metabolome. Glucose uptake and myocardial insulin sensitivity were evaluated using micro-positron emission tomography. The effect of ginsenoside Rg3 on myocardial insulin sensitivity was clarified by combining in vivo animal experiments and in vitro cell experiments. Results: Treatment of TAC-induced mouse models with ginsenoside Rg3 significantly improved heart function and protected mitochondrial structure and function. Fusion of metabolomics, proteomics, and targeted metabolomics data showed that Rg3 regulated the glycolysis process, and Rg3 not only regulated glucose uptake but also improve myocardial insulin resistance. The molecular mechanism of ginsenoside Rg3 regulation of glucose metabolism was determined by exploring the interaction pathways of AMPK, insulin resistance, and glucose metabolism. The effect of ginsenoside Rg3 on the promotion of glucose uptake in IR-H9c2 cells by AMPK activation was dependent on the insulin signaling pathway. Conclusions: Ginsenoside Rg3 modulates glucose metabolism and significantly ameliorates insulin resistance through activation of the AMPK pathway.

Microstructure Evolution and Mechanical Properties of Lean Duplex Stainless Steel Bars Prepared by a Short Process

Xinghai Zhang,Qingdi Gong,Jiaqi Li,Chunting Liu,Jingyuan Li 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.9

The effect of cold deformation and annealing temperature on the microstructure evolution and mechanical properties isshown in this research together with a unique short strategy for manufacturing lean duplex stainless steel bars. Furthermore,the effects of post-weld heat treatment (PWHT) and cooling treatments on the microstructure and mechanical properties ofLDX 2101 bars are being investigated. The results demonstrate that the austenite produces a large number of deformationtwins and strain-induced martensite (SIM) as cold deformation increases, and the SIM and austenite follow the traditionalK–S and N–W orientation relationships. The best mechanical properties overall are achieved in LDX 2101 bars that havebeen annealed at 1020 °C. Moreover, short-time PWHT improves the austenite proportion in the heat-affected zone andweld metal, and PWHT can greatly enhance the overall mechanical properties of the welded joints. Additionally, the optimalheat treatment temperature of the welded joints is 1050–1080 ℃. Furthermore, compared to those treated with air cooling,the mechanical properties of the welded joints treated with water quenching following flash butt welding are superior. As aresult, it is recommended that following flash butt welding, the welded joints are given a water-quenching treatment.

Self-organizing Cascade Neural Network Based on Differential Evolution with Better and Nearest Option for System Modeling

Haozhen Dong,Liang Gao,Xinyu Li,Jingyuan Li,Haorang Zhong 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.5

System modeling of engineering problems is an important task, and it’s very difficult because most engineering problems are of great nonlinearity and input variables selection is difficult. Self-organizing cascade neural network (SCNN) is a new network which inserts the hidden unit into network layer by layer, while current training methods are still of low efficiency. In addition, most neural networks’ inputs units should be provided before training and related input units analysis is of great time-cost. In this paper, a new meta-heuristic algorithm, called as differential evolution with better and nearest option (NbDE), is introduced to SCNN training. In NbDE-SCNN, the orthogonal least square method is applied to evaluate the network contribution of candidate hidden unit and input unit, and NbDE is used to find the best hidden units. Four benchmarks, including the Henon chaotic series prediction, a nonlinear dynamic system, a hydraulic system and a nonlinearity impedance control strategy are used to test the performance of NbDE-SCNN. Simulation and experiment results show that the NbDE-SCNN can select proper input units for system modeling and shows better efficiency in system modeling compared with conventional training methods.

Integrated proteomic and metabolomic analyses reveal significant changes in chloroplasts and mitochondria of pepper (Capsicum annuum L.) during Sclerotium rolfsii infection

Liao Hongdong,Wen Xiangyu,Deng Xuelei,Wu Yonghong,Xu Jianping,Li Xin,Zhou Shudong,Li Xuefeng,Zhu Chunhui,Luo Feng,Ma Yanqing,Zheng Jingyuan 한국미생물학회 2022 The journal of microbiology Vol.60 No.5

Infection by Sclerotium rolfsii will cause serious disease and lead to significant economic losses in chili pepper. In this study, the response of pepper during S. rolfsii infection was explored by electron microscopy, physiological determination and integrated proteome and metabolome analyses. Our results showed that the stomata of pepper stems were important portals for S. rolfsii infection. The plant cell morphology was significantly changed at the time of the fungal hyphae just contacting (T1) or surrounding (T2) the pepper. The chlorophyll, carotenoid, and MDA contents and the activities of POD, SOD, and CAT were markedly upregulated at T1 and T2. Approximately 4129 proteins and 823 metabolites were clearly identified in proteome and metabolome analyses, respectively. A change in 396 proteins and 54 metabolites in pepper stem tissues was observed at T1 compared with 438 proteins and 53 metabolites at T2. The proteins and metabolites related to photosynthesis and antioxidant systems in chloroplasts and mitochondria were disproportionally affected by S. rolfsii infection, impacting carbohydrate and amino acid metabolism. This study provided new insights into the response mechanism in pepper stems during S. rolfsii infection, which can guide future work on fungal disease resistance breeding in pepper.

Ultrafast epitaxial growth of metre-sized single-crystal graphene on industrial Cu foil

Xu, Xiaozhi,Zhang, Zhihong,Dong, Jichen,Yi, Ding,Niu, Jingjing,Wu, Muhong,Lin, Li,Yin, Rongkang,Li, Mingqiang,Zhou, Jingyuan,Wang, Shaoxin,Sun, Junliang,Duan, Xiaojie,Gao, Peng,Jiang, Ying,Wu, Xiaoson Elsevier 2017 Science bulletin Vol.62 No.15