Antidepressant-like effect of ginsenoside Rb1 on potentiating synaptic plasticity via the miR-134emediated BDNF signaling pathway in a mouse model of chronic stress-induced depression

Guoli Wang,Tianyue An,Cong Lei,Xiaofeng Zhu,Li Yang,Lianxue Zhang,Ronghua Zhang 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.3

Brain-derived neurotrophic factor (BDNF)etropomyosin-related kinase B (TrkB) plays acritical role in the pathogenesis of depression by modulating synaptic structural remodeling and functional transmission. Previously, we have demonstrated that the ginsenoside Rb1 (Rb1) presents a novelantidepressant-like effect via BDNFeTrkB signaling in the hippocampus of chronic unpredictable mildstress (CUMS)-exposed mice. However, the underlying mechanism through which Rb1 counteractsstress-induced aberrant hippocampal synaptic plasticity via BDNFeTrkB signaling remains elusive. Methods: We focused on hippocampal microRNAs (miRNAs) that could directly bind to BDNF and areregulated by Rb1 to explore the possible synaptic plasticity-dependent mechanism of Rb1, which affordsprotection against CUMS-induced depression-like effects. Results: Herein, we observed that brain-specific miRNA-134 (miR-134) could directly bind to BDNF 30UTRand was markedly downregulated by Rb1 in the hippocampus of CUMS-exposed mice. Furthermore, thehippocampusetargeted miR-134 overexpression substantially blocked the antidepressant-like effects ofRb1 during behavioral tests, attenuating the effects on neuronal nuclei-immunoreactive neurons, thedensity of dendritic spines, synaptic ultrastructure, long-term potentiation, and expression of synapseassociated proteins and BDNFeTrkB signaling proteins in the hippocampus of CUMS-exposed mice. Conclusion: These data provide strong evidence that Rb1 rescued CUMS-induced depression-like effectsby modulating hippocampal synaptic plasticity via the miR-134-mediated BDNF signaling pathway.

Identification of olfactory receptor genes in the Japanese grenadier anchovy Coilia nasus

Guoli Zhu,Liangjiang Wang,Wenqiao Tang,Xiaomei Wang,Cong Wang 한국유전학회 2017 Genes & Genomics Vol.39 No.5

Olfaction is essential for fish to detect odorant elements in the environment and plays a critical role in navigating, locating food and detecting predators. Olfactory function is produced by the olfactory transduction pathway and is activated by olfactory receptors (ORs) through the binding of odorant elements. Recently, four types of olfactory receptors have been identified in vertebrate olfactory epithelium, including main odorant receptors (MORs), vomeronasal type receptors (VRs), trace-amine associated receptors (TAARs) and formyl peptide receptors (FPRs). It has been hypothesized that migratory fish, which have the ability to perform spawning migration, use olfactory cues to return to natal rivers. Therefore, obtaining OR genes from migratory fish will provide a resource for the study of molecular mechanisms that underlie fish spawning migration behaviors. Previous studies of OR genes have mainly focused on genomic data, however little information has been gained at the transcript level. In this study, we identified the OR genes of an economically important commercial fish Coilia nasus through searching for olfactory epithelium transcriptomes. A total of 142 candidate MOR, 52 V2R/OlfC, 32 TAAR and two FPR putative genes were identified. In addition, through genomic analysis we identified several MOR genes containing introns, which is unusual for vertebrate MOR genes. The transcriptomescale mining strategy proved to be fruitful in identifying large sets of OR genes from species whose genome information is unavailable. Our findings lay the foundation for further research into the possible molecular mechanisms underlying the spawning migration behavior in C. nasus.

Fast FCS-MPC-Based SVPWM Method to Reduce Switching States of Multilevel Cascaded H-Bridge STATCOMs

Wang, Xiuqin,Zhao, Jiwen,Wang, Qunjing,Li, Guoli,Zhang, Maosong The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.1

Finite control set model-predictive control (FCS-MPC) has received increasing attentions due to its outstanding dynamic performance. It is being widely used in power converters and multilevel inverters. However, FCS-MPC requires a lot of calculations, especially for multilevel-cascaded H-bridge (CHB) static synchronous compensators (STATCOMs), since it has to take account of all the feasible voltage vectors of inverters. Hence, an improved five-segment space vector pulse width modulation (SVPWM) method based on the non-orthogonal static reference frames is proposed. The proposed SVPWM method has a lower number of switching states and requires fewer computations than the conventional method. As a result, it makes FCS-MPC more efficient for multilevel cascaded H-bridge STATCOMs. The partial cost function is adopted to sequentially solve for the reference current and capacitor voltage. The proposed FCS-MPC method can reduce the calculation burden of the FCS-MPC strategy, and reduce both the switching frequency and power losses. Simulation and experimental results validate the excellent performance of the proposed method when compared with the conventional approach.

On-Line Monitoring Method of CNC Cutting Stability

Guoli Gao,Qiyi Wang,Wei Wang,Rende Wang 대한기계학회 1997 Asia-Pacific Vibration Conference Vol.1 No.1

On-line Monitoring Method of CNC Cutting Stability

Gao Guoli,Wang Qiyi,Wang Wei,Wang Rendo 한국소음진동공학회 1997 한국소음진동공학회 국제학술대회논문집 Vol.1997 No.1

Fast FCS-MPC-Based SVPWM Method to Reduce Switching States of Multilevel Cascaded H-Bridge STATCOMs

Xiuqin Wang,Jiwen Zhao,Qunjing Wang,Guoli Li,Maosong Zhang 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.1

Finite control set model-predictive control (FCS-MPC) has received increasing attentions due to its outstanding dynamicperformance. It is being widely used in power converters and multilevel inverters. However, FCS-MPC requires a lot ofcalculations, especially for multilevel-cascaded H-bridge (CHB) static synchronous compensators (STATCOMs), since it has totake account of all the feasible voltage vectors of inverters. Hence, an improved five-segment space vector pulse widthmodulation (SVPWM) method based on the non-orthogonal static reference frames is proposed. The proposed SVPWM methodhas a lower number of switching states and requires fewer computations than the conventional method. As a result, it makesFCS-MPC more efficient for multilevel cascaded H-bridge STATCOMs. The partial cost function is adopted to sequentiallysolve for the reference current and capacitor voltage. The proposed FCS-MPC method can reduce the calculation burden of theFCS-MPC strategy, and reduce both the switching frequency and power losses. Simulation and experimental results validate theexcellent performance of the proposed method when compared with the conventional approach.

Bayesian Hybrid State Estimation for Unequal-length Batch Processes with Incomplete Observations

Guoli Ji,Yaozong Wang,Shunyi Zhao,Yunlong Liu,Kangkang Zhang,Bin Yao,Sun Zhou 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6

This paper investigates state estimation problem for batch processes with unequal-length batches as wellas incomplete observations. A Bayesian hybrid state estimation method is proposed based on two dimensional (2D)correlations of states. The states of equal-length segment of time are estimated according to both within-a-batchand batch-to-batch correlations, and the states of unequal-length segment are obtained according to the correlationswithin the batch. In this way, the batch process states can be achieved in both equal-length and unequal-lengthsituations, of which the latter one is a more general case. In order to approximate state distribution of nonlinearsystem and to deal with the problem of incomplete observations, particle filter (PF) is employed. The proposedmethod shows its superiority with a nonlinear system and a gas-phase reaction process. Compared to a typicalexisting method, the proposed method provides better estimation accuracy in the situation of equal-length batches,also it shows less sensitivity to incomplete observations.

Effect of Calcination Temperature on Magnetic Properties of MnZn Ferrites for High Frequency Applications

Lingfeng Wang,Guoli Lei,Chong Yan,Hongliang Ge 한국자기학회 2019 Journal of Magnetics Vol.24 No.4

With the development of switching power supplies, miniaturization and high efficiency become hot research issues, and decreasing high-frequency losses is an effective method to achieve it. In this article, the effect of different calcination temperature on the power losses of MnZn ferrites at high frequency (500 kHz) over a broad temperature range is reported. The MnZn ferrites samples were prepared by ceramic process and the effect of calcination temperature was analyzed. The raw materials were calcined at 775 ℃, 800 ℃, 825 ℃, 850 ℃, 875℃, 900 ℃, 925 ℃ and 950 ℃, and the regular fluctuations of particle size (as-calcined), density (as-sintered) and magnetic properties are presented in this work. It is shown that the samples calcined at 850 ℃ exhibit optimal microstructure and magnetic properties. The newly developed MnZn ferrites are characterized by sintered density of 4.61 g/cm³, initial permeability of 1223 (10 kHz/0.1 mT/25 ℃), saturation magnetic flux density of 488 mT (10 kHz/1200 A/m/25 ℃) and power losses of 68 mW/cm³ (500 kHz/50 mT/100 ℃).

Robust Adaptive Sliding‑Mode Control for Permanent Magnet Spherical Actuator with Uncertainty Using Dynamic Surface Approach

Yan Wen,Guoli Li,Qunjing Wang,Xiwen Guo 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6

This paper presents a position tracking control method for a three degree-of-freedom permanent magnet spherical actuator (PMSA). The control method is designed based on a dynamic model of the PMSA with uncertainties including modelling errors and external disturbance. Sliding-mode surface are adopted to restrain and eliminate the efect of external disturbances. To compensate modelling errors, an adaptive law is employed to estimate unknown model parameters so that model information can be updated in real time. By the use of dynamic surface approach, three frst-order flters are introduced to avoid the explosion of derivative terms caused by traditional adaptive backstepping approach. The stability of the closed-loop system using the proposed controller is confrmed through Lyapunov theorem. The test bench consisted of the prototype of PMSA, the host computer, the current controller and the orientation detection device is established for experiments. Simulation and experimental results are provided to validate efectiveness of the proposed method.

A Deflectable Switched Reluctance Motor/Generator for Wave Energy Conversion and Underwater Propulsion Systems

Gao Shihao,Wang Qunjing,Li Guoli,Qian Zhe,Zhou Sili,Li Zheng 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6

This paper proposes a defl ectable switched reluctance motor/generator, which can be used in wave energy conversion and underwater propulsion systems. When an underwater vehicle stops working, the ocean current drives the turbine blades connected to the motor to rotate, and the rotating turbine blades drive the defl ectable generator shaft to generate electricity. The defl ectable motor can complete multi-degree-of-freedom motion, so it can receive ocean current energy in multiple directions, thereby improving energy extraction effi ciency. When the underwater vehicle starts to work, the defl ectable motor can freely adjust the course of the vehicle, so that the vehicle can yaw freely under water. The fi nite element method is used to analyze the air gap fl ux density during rotation and defl ection. The relationship between the fl ux, torque and current of a single coil under diff erent rotor positions is obtained, and then the output current and voltage of the defl ectable generator are obtained. Finally, a prototype was made for experimental verifi cation.