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      • KCI등재

        Stigma and Efficacy of Zhizhu Kuanzhong Capsules Versus Doxepin in the Treatment of Refractory Functional Dyspepsia: A Randomized Controlled Trial

        Qian-Qian Wang,Li Cheng,Bi-Yu Wu,Hong-Yi Qiu,Ping Xu,Bo Wang,Xiu-Juan Yan,Sheng-Liang Chen 대한소화기 기능성질환∙운동학회 2023 Journal of Neurogastroenterology and Motility (JNM Vol.29 No.3

        Background/AimsStigma related with antidepressants is prevalent in patients with functional dyspepsia. It affects medication compliance and efficacy. Herbal medicine acquired a deep-rooted cultural identity in relieving dyspeptic symptoms in Asians. The research was designed to compare the effectiveness of Zhizhu Kuanzhong capsules (ZZKZ) versus doxepin hydrochloride (doxepin) on alleviating stigma and medication nonadherence among patients with refractory FD (rFD). MethodsPatients with rFD from February 2021 to February 2022 were randomly allocated to receive either doxepin (n = 56) or ZZKZ (n = 57) combined with omeprazole for 4 weeks. Medication possession ratio (MPR), the disease- and medication-associated stigma were analyzed. The scales were utilized to assess dyspeptic symptoms (Leeds Dyspepsia Questionnaire) and psychological conditions (Generalized Anxiety Disorder Questionnaire and Patient Health Questionnaire). ResultsThe MPR values for ZZKZ were significantly higher than those for doxepin (P < 0.001). The stigma scores decreased in ZZKZ group while increased in doxepin group compared to baseline after treatment. The proportion of patients showing ZZKZ-associated stigma was significantly lower than doxepin-associated stigma (P < 0.001). The MPR values were negatively correlated with post-treatment stigma scores in both groups (P < 0.001). Dyspeptic symptoms and psychological condition were improved in both groups after treatment, with no significant difference on post-treatment Leeds Dyspepsia Questionnaire, Generalized Anxiety Disorder Questionnaire, or Patient Health Questionnaire scores between 2 groups. ConclusionZZKZ is superior to doxepin in alleviating stigma and medication non-adherence, with comparable efficacy in improving dyspeptic symptoms and psychological condition of patients with rFD.

      • KCI등재

        Research on influence of harmonic wear wheel on wheel/rail contact geometry of high-speed train

        Qian Xiao,Zhixiang Luo,Xu Xu,Jifeng Zheng,Shu Cheng 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.2

        Harmonic wear is one of the common wear phenomena of high-speed train wheels. The change of wheel/rail rolling contact geometry leads to unstable characteristics of wheel/rail contact, which directly affects the quality and safety of high-speed train operation. Because wheelset lateral displacement directly affected the wheel/rail contact geometry, in this paper, the UM software was used to establish a high-speed train vehicle-track coupled dynamics simulation model of the CRH2 (China Railway High-speed 2) head car. Lateral displacement of harmonic wear wheel was calculated under different wear condition to analyze the influence of harmonic wear wheels on wheelset lateral displacement. Then according to macroscopic dimension change of the wheel profile from lateral and radial directions of high-speed train induced by harmonic wear wheels, wheel profiles under different wear condition were selected. And wheel/rail contact geometry under different harmonic wear stages was calculated to discuss the influence of harmonic wear wheel on wheel/rail contact geometry. The results show that harmonic order and wave depth of harmonic wear wheel have small influence on the lateral displacement of wheelset, but the influence of wave depth is greater than harmonic order. The average difference of lateral displacement between harmonic wear wheel and no harmonic wear wheel increases with the increase of wave depth and order. In a harmonic wave length, the maximum value of both equivalent conicity and contact angle appear in deepest wave depth. The greater the wave depth, the more obvious the fluctuations, and equivalent conicity changes are less obvious.

      • A Wireless Sensor Network Clustering Algorithm based on Hypergraph

        Xu Qian,Hu Ji-cheng,Lin Hai,Kong Ruo-shan,Luo Yong-en,Zhu Li,Mao Hua-qing 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.6

        The paper proposes a clustering algorithm for wireless sensor network based on hypergraph. Under the hypergraph model, a wireless sensor network is mapped to a hypergraph. Then a hierarchical iterative clustering algorithm is applied to the hypergraph, thus dividing the hypergraph into multiple parts. A cluster head is selected from each part. In order to improve the partitioning process, a new modularity function is proposed. Compared with the classic clustering algorithm LEACH, simulation shows that our algorithm performs better in energy consuming and network lifetime.

      • KCI등재

        Novel central‑tapped planar transformer structure with natural current‑sharing for LLC resonant converters

        Cheng Gu,Qinsong Qian,Dalin Xu,Tianhao Tan 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.9

        Planar transformers have been widely used in isolated power supplies. However, with a large current density, the parallel windings usually cannot share the current evenly. This uneven current-sharing may cause additional winding losses, and damage the performance of the power converter. In this paper, a novel central-tapped planar transformer structure is proposed. Regardless of whether it is in the first half cycle or the second half cycle, the proposed twelve-layer transformer can be simplified as four three-layer transformers connected in parallel. Moreover, there is a “shielding layer” between adjacent three-layer transformers. In addition, the proposed transformer structure is optimized with a symmetrical layer arrangement, and the skin effect and proximity effect can be further reduced. Simulation and experimental tests indicate that the optimized planar transformer can stably provide 476.1 W of output power at a frequency of 1.25 MHz. The peak efficiency of the optimized transformer is up to 99.2%, and there is no obvious hot spot on the PCB board. It is noteworthy that the temperature difference in the secondary windings is less than 5 °C, which means the current-sharing in the secondary windings works well.

      • KCI등재

        Automatic resonant frequency tracking for DCX‑LLC based on magnetizing current cancellation

        Cheng Gu,Qinsong Qian,Dalin Xu,Tianhao Tan 전력전자학회 2024 JOURNAL OF POWER ELECTRONICS Vol.24 No.1

        The LLC resonant converter has been widely used as a DC-DC transformer (DCX) to provide a semi-regulated or unregulated bus voltage. However, due to circuit parameter variations, the switching frequency is usually different from the designed resonant frequency, which results in converter efficiency degradation. To achieve the highest efficiency under different scenarios, a novel primary-side regulation (PSR) scheme for LLCs based on magnetizing current cancellation is presented. The transformer magnetizing current component on the sampling resistor can be offset by the compensating current, which is generated by the auxiliary winding and the added compensating inductor. The effect of magnetizing current in the sampled primary resonant current can be effectively eliminated. Thus, the output current can be accurately estimated on the primary side of the LLC resonant converter. Finally, a prototype of a 20-60 V LLC is constructed to validate the theoretical analysis. In the experiment section, various scenarios are tested to assess the efficacy of the solution. It is shown that the LLC converter can always realize resonant frequency tracking with the highest transmission efficiency.

      • Expression and Significance of Microsomal Prostaglandin Synthase-1 (mPGES-1) and Beclin-1 in the Development of Prostate Cancer

        Xu, Lu-Wei,Qian, Ming,Jia, Rui-Peng,Xu, Zheng,Wu, Jian-Ping,Li, Wen-Cheng,Huang, Wen-Bin,Chen, Xing-Guo Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.4

        The aim of this study was to investigate the expression and significance of microsomal prostaglandin synthase-1 (mPGES-1) and Beclin-1 in the development of prostate cancer (PCa). Immunohistochemistry was performed on paraffin-embedded sections with rabbit polyclonal against mPGES-1 and Beclin-1 in 40 PCa, 40 benign prostatic hyperplasia (BPH) and 10 normal prostate specimens for this purpose. Quantitative real-time polymerase chain reaction (qRT-PCR) was applied for mRNA expression of mPGES-1 and Beclin-1, while MTT assays were used to ascertain the best working concentration of the mPGES-1 inhibitor (CAY10526). The effect of CAY10526 treatment on expression of Beclin-1 in DU-145 cells was studied using Western blot analysis. Localization of Beclin-1 and mPGES-1 was in endochylema. Significant differences in expression was noted among PCa, BPH and normal issues (P<0.05). Beclin-1 expression inversely correlated with mPGES-1 expression in PCa tissue (P<0.05). CAY10526 could significantly block mPGES-1 expression and the proliferation of DU-145 cells (P<0.05), while increasing Beclin-1 levels (P<0.05). Overexpression of mPGES-1 could decrease the autophagic PCa cell death. Inhibiting the expression of mPGES-1 may lead to DU-145 cell death and up-regulation of Beclin-1. The results suggest that inhibition of mPGES-1 may have therapeutic potential for PCa in the future.

      • KCI등재

        Platform development for multi-physics coupling and uncertainty analysis based on a unified framework

        Qian Guan-Hua,Li Ren,Yang Tao,Wang Xu,Zhao Peng-Cheng,Zhao Ya-Nan,Yu Tao 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.5

        The multi-physics coupled methodologies that have been widely used to analyze the complex process occurring in nuclear reactors have also been used to the R&D of numerical reactors. The advancement in the field of computer technology has helped in the development of these methodologies. Herein, we report the integration of ADPRES code and RELAP5 code into the SALOME-ICoCo framework to form a multi-physics coupling platform. The platform exploits the supervisor architecture, serial mode, mesh one-to-one correspondence and explicit coupling methods during analysis, and the uncertainty analysis tool URANIE was used. The correctness of the platform was verified through the NEACRP-L-335 benchmark. The results obtained were in accordance with the reference values. The platform could be used to accurately determine the power peak. In addition, design margins could be gained post uncertainty analysis. The initial power, inlet coolant temperature and the mass flow of assembly property significantly influence reactor safety during the rod ejections accident (REA).

      • SCIESCOPUSKCI등재

        Selection signature reveals genes associated with susceptibility loci affecting respiratory disease due to pleiotropic and hitchhiking effect in Chinese indigenous pigs

        Xu, Zhong,Sun, Hao,Zhang, Zhe,Zhang, Cheng-Yue,Zhao, Qing-bo,Xiao, Qian,Olasege, Babatunde Shittu,Ma, Pei-Pei,Zhang, Xiang-Zhe,Wang, Qi-Shan,Pan, Yu-Chun Asian Australasian Association of Animal Productio 2020 Animal Bioscience Vol.33 No.2

        Objective: Porcine respiratory disease is one of the most important health problems causing significant economic losses. To understand the genetic basis for susceptibility to swine enzootic pneumonia (EP) in pigs, we detected 102,809 single nucleotide polymorphisms in a total of 249 individuals based on genome-wide sequencing data. Methods: Genome comparison of susceptibility to swine EP in three pig breeds (Jinhua, Erhualian, and Meishan) with two western lines that are considered more resistant (Duroc and Landrace) using cross-population extended haplotype homozygosity and F-statistic (F<sub>ST</sub>) statistical approaches identified 691 positively selected genes. Based on quantitative trait loci, gene ontology terms and literature search, we selected 14 candidate genes that have convincible biological functions associated with swine EP or human asthma. Results: Most of these genes were tested by several methods including transcription analysis and candidate genes association study. Among these genes: cytochrome P450 1A1 and catenin beta 1 (CTNNB1) are involved in fertility; transforming growth factor beta receptor 3 plays a role in meat quality traits; Wnt family member 2, CTNNB1 and transcription factor 7 take part in adipogenesis and fat deposition simultaneously; plasminogen activator, urokinase receptor (completely linked to AXL receptor tyrosine kinase, r<sup>2</sup> = 1) plays an essential role in the successful ovulation of matured oocytes in pigs; colipase like 2 (strongly linked to SAM pointed domain containing ETS transcription factor, r<sup>2</sup> = 0.848) is involved in male fertility. Conclusion: These adverse genes susceptible to swine EP may be selected while selecting for economic traits (especially reproduction traits) due to pleiotropic and hitchhiking effect of linked genes. Our study provided a completely new point of view to understand the genetic basis for susceptibility or resistance to swine EP in pigs thereby, provides insight for designing sustainable breed selection programs. Finally, the candidate genes are crucial due to their potential roles in respiratory diseases in a large number of species, including human.

      • KCI등재

        A Weighted Block-by-Block Decoding Algorithm for CPM-QC-LDPC Code Using Neural Network

        ( Zuohong Xu ),( Jiang Zhu ),( Zixuan Zhang ),( Qian Cheng ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.8

        As one of the most potential types of low-density parity-check (LDPC) codes, CPM-QC-LDPC code has considerable advantages but there still exist some limitations in practical application, for example, the existing decoding algorithm has a low convergence rate and a high decoding complexity. According to the structural property of this code, we propose a new method based on a CPM-RID decoding algorithm that decodes block-by-block with weights, which are obtained by neural network training. From the simulation results, we can conclude that our proposed method not only improves the bit error rate and frame error rate performance but also increases the convergence rate, when compared with the original CPM-RID decoding algorithm and scaled MSA algorithm.

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