Fatty acid-binding protein 5 activates cyclooxygenase-2 and promotes hypoxic injury in LO2 cells

Pan Long,Pang Yihan,Xiao Heng,Deng Xin,Chen Qingsong 대한독성 유전단백체 학회 2022 Molecular & cellular toxicology Vol.18 No.1

Background Hepatic hypoxia always results in liver inflammation and dysfunction. Fatty acid-binding protein 5 (FABP5) has been reported as a hypoxia-inducible gene and a regulator of inflammatory reaction . Objective To evaluate the effects of FABP5 on hypoxic liver injury and its potential mechanisms. Results FABP5 was hypoxia-inducible expression in liver tissues and LO2 cells. The expression levels of IL6 and TNFα were upregulated with the increasing expression of FABP5 in LO2 cells. Downregulation of FABP5 expression decreased the expression levels of ALT, AST and increased cell viability of hypoxic LO2 cells. Downregulation of FABP5 expression inhibited the cyclooxygenase-2/prostaglandin E2 (COX-2/PGE2) pathway and decreased inflammatory reaction in hypoxic LO2 cells. Conclusions FABP5 was shown to activate COX-2/PGE2 pathway and promote hypoxic injury in LO2 cells. FABP5 may be a potential target for the treatment of hypoxic liver injury.

Determination of Amatoxins in Lepiota brunneoincarnata and Lepiota venenata by High-Performance Liquid Chromatography Coupled with Mass Spectrometry

( Pan Long ),( Fengxia Fan ),( Bin Xu ),( Zhengmi He ),( Yuting Su ),( Ping Zhang ),( Jianwei Xie ),( Zuohong Chen ) 한국균학회 2020 Mycobiology Vol.48 No.3

Three hepatic failure poisoning incidents caused by Lepiota brunneoincarnata and Lepiota venenata mushrooms have been occurred in China in 2017, L. venenata has been described as a new species. However, the cyclopeptide toxins of these lethal mushrooms remain poorly understood. In this study, the composition and content of amatoxins in L. brunneoincarnata and L. venenata are analyzed and compared, the analysis of composition and content of amatoxins in L. venenata are reported for the first time. The results showed that b-amanitin (b-AMA), a-amanitin (a-AMA), amanin, and amaninamide were identified in L. brunneoincarnata, and a-AMA, amanin II (an analog of amanin), and an unknown compound were identified in L. venenata. The differences between L. brunneoincarnata and L. venenata in the identified compounds provide chemical evidence for L. venenata as a new species. Quantitative analysis shows that a-AMA concentrations in L. brunneoincarnata and L. venenata were 0.72-1.97mg/g dry weight, b-AMA concentrations in L. brunneoincarnata were 0.57-0.94mg/g dry weight, and b-AMA was absent in L. venenata.

Ocean Economy and Fault Diagnosis of Electric Submersible Pump applied in Floating platform

Panlong ZHANG,Tingkai CHEN,Guochao WANG,Changzheng PENG 국제이네비해양경제학회 2017 International Journal of e-Navigation and Maritime Vol.6 No.1

Ocean economy plays a crucial role in the strengthening maritime safety industry and in the welfare of human beings. Electric Submersible Pumps (ESP) have been widely used in floating platforms on the sea to provide oil for machines. However, the ESP fault may lead to ocean environment pollution, on the other hand, a timely fault diagnosis of ESP can improve the ocean economy. In order to meet the strict regulations of the ocean economy and environmental protection, the fault diagnosis of ESP system has become more and more popular in many countries. The vibration mechanical models of typical faults have been able to successfully diagnose the faults of ESP. And different types of sensors are used to monitor the vibration signal for the signal analysis and fault diagnosis in the ESP system. Meanwhile, physical sensors would increase the fault diagnosis challenge. Nowadays, the method of neural network for the fault diagnosis of ESP has been applied widely, which can diagnose the fault of an electric pump accurately based on the large database. To reduce the number of sensors and to avoid the large database, in this paper, algorithms are designed based on feature extraction to diagnose the fault of the ESP system. Simulation results show that the algorithms can achieve the prospective objectives superbly.

Iterated Square Root Unscented Kalman Filter for Maneuvering Target Tracking using TDOA Measurements

Panlong Wu,Xingxiu Li,Yuming Bo 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.4

This paper presents a study involving the prediction of a complicated maneuvering target, with the aim of improving the tracking performance of time difference of arrival (TDOA) tracking system for passive radar. Because of the large error caused by the complicated maneuvers and a high real-time requirement, the TDOA tracking system will take a heavy computational load. In this study, we calculate the initial position of a complicated maneuvering target using the total least square method to decrease the initial tracking error. Based on the current statistical model and the square root unscented Kalman filter, an iterated square root unscented Kalman filter (ISRUKF) is presented and an iterated termination criteria is used to reduce the linearity error for the whole iterated process. Finally, comparative simulation results are provided to demonstrate the effectiveness and applicability of the proposed method.

Distributed Flocking Control of Quad-rotor UAVs with Obstacle Avoidance Under the Parallel-triggered Scheme

Fanjing Huang,Panlong Wu,Xingxiu Li 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3

With the development of science and technology, more and more unmanned aerial vehicles (UAVs) are needed for collaborative search, rescue, reconnaissance, remote sensing and other missions. Multiple UAVs collaborative control is emerging as a promising technology to carry out these missions. Based on the acceleration matching method, a double loop control scheme of quad-rotor UAV is proposed, which effectively reduces the position difference between each UAV and the virtual leader under external disturbances. It also can facilitate cooperative control of multiple quad-rotor UAVs and make further efforts to improve the control quality of the flight system. In order to make quad-rotor UAVs could perform collision avoidance maneuvers with cooperation to reach the desired position, a distributed virtual leader-follower flocking control strategy with parallel-triggered scheme(PTS) is proposed. Unlike traditional flocking control strategy, this strategy is applied to the multiple quadrotor UAVs platform to solve the problem of flight stability at the condition of obstacles and limited thrust, and takes advantage of PTS to save communication resources. Several simulations are provided to confirm that in the premise of achieving the collision free flocking and obstacle avoidance of quad-rotor UAVs, the proposed strategy can further minimize transmission rate than using event triggered scheme.

Large eddy simulation of two-phase reacting turbulent flow in a pilot-scale pulverized coal combustion furnace with flamelet model

Seongyool Ahn,Panlong Yu,Hiroaki Watanabe,Ryoichi Kurose,Kenji Tanno,Toshiaki Kitagawa 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.5

A three-dimensional numerical simulation was performed to investigate the physics and combustion characteristics of a two-phase reacting turbulent flow in a pilot-scale pulverized coal combustion furnace. This included an elementary reaction mechanism using an extended flamelet/progress variable (EFPV) method. The simulation was validated via comparison with an experiment in terms of the gaseous temperature and distribution of the gas mole fraction. The EFPV method predicted the flame structure and combustion characteristics of the pulverized coal. In the main reaction zone where the released gas combustion was dominant, two separate combustion regions were observed, and they were attributed to hydrocarbons and CO combustion. Gas flow characteristics such as mixing of low temperature gas and hot burnt gas were well described in the inner recirculation zone. The CO 2 conversion reaction to CO occurred slowly and decreased the gaseous temperature beyond the main reaction zone in the low and zero oxygen environments. The simulation predicted the unburned CO combustion correctly beyond the flame when staged air was injected; however, the combustion rate was overestimated due to the fundamental assumption of the EFPV method, attributable to the limitations of the steady state flamelet approach.

Effect of the blade loading distribution on hydrodynamic performance of a centrifugal pump with cylindrical blades

Xiaojun Li,Panlong Gao,ZuChao Zhu,Yi Li 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.3

The effect of the blade loading distribution on head, radial force and pressure pulsation of a low specific-speed centrifugal pump with cylindrical impeller blades were investigated in the present study. Blade shapes were obtained by adopting the 1D inverse design method, impellers with different blade loading curves were obtained while the distribution of the blade loading was carefully tailored. Threedimensional URANS simulation method based on the Shear stress transport (SST) k-ω turbulence model was employed for the analyzation of flow patterns. Numerical results including the pressure distribution and velocity profile were validated by comparing with the available experimental data, and an acceptable agreement was obtained. Three typical parameters of the blade loading curve, including the location of the fore-loading point (m pre ), location of the aft-loading point (m post ) and slope of the rectilinear segment (K), were analyzed. Results showed that the well-designed blade loading curve, such as the fore-loading impeller, can effectively reduce the pressure pulsation amplitude and the radial force. The significant effect of the variation of the aft-loading point on pump hydrodynamic performance was also investigated. Meanwhile, pressure and velocity distributions at different slopes of the blade loading curves show that the fore-loading impeller produces more uniform flow issuing from the impeller than that of the pump with aft-loading impeller, thus reduces the radial force and pressure pulsation of the pump.

Eye Region Activity State based Face Liveness Detection System

Xu GuangZhu,Yin PanLong,Lei BangJun,Zou YaoBin,Yang JiQuan 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.1

In recent years, counterfeiting is posing a serious threat to face recognition based authentication system. Introducing liveness detection into a face-based authentication system can be a good solution to the problem. This paper applied eye region detection and tracking technology to anti-counterfeiting application, and designed an eye region activity based liveness detection system. First, a scale balance and a “face-to-eye” strategy were proposed to fast detect the eye region, and then KLT algorithm was used to track the detected eye region. At last, a random instruction (closing eye, moving to the left or right) was evoked to the user, and the liveness judgment was given according to the results of the users’ cooperation. Experiments show that the proposed eye region activity based face liveness detection system is real-time and robust, and can meet the needs of practical applications.