Parameter design method for the heat transfer performance of a fan-driven gearbox under planetary gear opening and oil-return conditions

Feng-xia Lu,Lijuan Yuan,Zhiqiang Zhao,Chun-lei Wang,He-yun Bao 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.9

On the basis of the computational fluid dynamics (CFD) method, this study calculates the surface convective heat transfer coefficients of the sun gear, planetary gear, ring gear, and bearing before and after the opening of the planetary gear of a fan-driven gearbox. A numerical fitting method is used to establish the calculation model of the convective heat transfer coefficients of the sun gear, planetary gear, ring gear, and bearing under the open-hole oilreturn condition. The convective heat transfer coefficients of each element are compared before and after the hole is bored, and the design method for the gearbox parameters with the objective of heat transfer performance is proposed. Result shows that the convective heat transfer coefficients of each element are increased after oil is returned from the hole of the planetary gear, and the change rate of the convective heat transfer coefficient of the raceway in the planetary gear bearing is the highest. When the aperture of the planetary gear is 7 mm and the number of holes is four, the heat transfer performance of the gearbox is the best. The maximum error between the convection heat transfer coefficient fitting formula value and the CFD simulation calculation result is 1.0558 %.

A New Iterative Least Squares Parameter Estimation Approach for Equation-error Autoregressive Systems

Lijuan Wan,Feng Ding,Ximei Liu,Chunping Chen 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.3

This paper investigates the identification methods for controlled autoregressive systems with autoregressive noise (i.e., equation-error autoregressive systems) from given input and output data. By applying the iterative technique and the hierarchical identification principle, an iterative least squares identification algorithm is presented and a recursive generalized least squares algorithm is given for comparison. The basic idea is to replace the unknown noise terms in the information vector with their estimated residuals. The simulation test results show the effectiveness of these algorithms.

Maximum Likelihood Multi-innovation Stochastic Gradient Estimation for Multivariate Equation-error Systems

Lijuan Li,Feng Ding,Cheng Wang,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5

This paper focuses on the parameter estimation problems of multivariate equation-error systems. A multiinnovation generalized extended stochastic gradient algorithm is presented as a comparison. Based on the maximum likelihood principle and the coupling identification concept, the multivariate equation-error system is decomposed into several regressive identification subsystems, each of which has only a parameter vector, and a coupled subsystem maximum likelihood multi-innovation stochastic gradient identification algorithm is developed for estimating the parameter vectors of these subsystems. The simulation results show that the coupled subsystem maximum likelihood multi-innovation stochastic gradient algorithm can generate more accurate parameter estimates and has faster convergence rates compared with the multi-innovation generalized extended stochastic gradient algorithm.

Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis

Wang Yingshuang,Feng Feifei,Zheng Pingping,Wang Lijuan,Wang Yanjun,Lv Yaogai,Shen Li,Li Kexin,Feng Tianyu,Chen Yang,Liu Zhigang,Yao Yan 한국유전학회 2022 Genes & Genomics Vol.44 No.1

Background: Long non-coding RNAs (lncRNAs) are widely involved in gene transcription regulation and which act as epigenetic modifiers in many diseases. Objective: To determine whether lncRNAs are involved in ischemic stroke (IS), we analyzed the expression profile of lncRNAs and mRNAs in IS. Methods: RNA sequencing was performed on the blood of three pairs of IS patients and healthy controls. Differential expression analysis was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs). Based on the co-expression relationships between lncRNA and mRNA, a series of bioinformatics analysis including GO and KEGG enrichment analysis and PPI analysis, were conducted to predict the function of lncRNA. Results: RNA sequencing produced a total of 5 DElncRNAs and 144 DEmRNAs. Influenza A pathway and Herpes simplex infection pathway were the most significant pathways. EP300 and NFKB1 were the most important target proteins, and Human leucocyte antigen (HLA) family were the key genes in IS. Conclusions: Analysis of this study revealed that dysregulated lncRNAs in IS may lead to IS by affecting the immune and inflammation system.

Two-stage Recursive Least Squares Parameter Estimation Algorithm for Multivariate Output-error Autoregressive Moving Average Systems

Yunze Guo,Lijuan Wan,Ling Xu,Feng Ding,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.6

This paper focuses on the parameter estimation problem of multivariate output-error autoregressive moving average (M-OEARMA) systems. By applying the auxiliary model identification idea and the decomposition technique, we derive a two-stage recursive least squares algorithm for estimating the M-OEARMA system. Compared with the auxiliary model based recursive least squares algorithm, the proposed algorithm possesses higher identification accuracy. The simulation results confirm the effectiveness of the proposed algorithm.

LasR Might Act as an Intermediate in Overproduction of Phenazines in the Absence of RpoS in Pseudomonas aeruginosa

( Qiuning He ),( Zhibin Feng ),( Yanhua Wang ),( Kewen Wang ),( Kailu Zhang ),( Le Kai ),( Xiuying Hao ),( Zhifen Yu ),( Lijuan Chen ),( Yihe Ge ) 한국미생물생명공학회(구 한국산업미생물학회) 2019 Journal of microbiology and biotechnology Vol.29 No.8

As an opportunistic bacterial pathogen, Pseudomonas aeruginosa PAO1 contains two phenazineproducing gene operons, phzA1B1C1D1E1F1G1 (phz1) and phzA2B2C2D2E2F2G2 (phz2), each of which is independently capable of encoding all enzymes for biosynthesizing phenazines, including phenazine-1-carboxylic acid and its derivatives. Other previous study reported that the RpoS-deficient mutant SS24 overproduced pyocyanin, a derivative of phenazine-1- carboxylic acid. However, it is not known how RpoS mediates the expression of two phz operons and regulates pyocyanin biosynthesis in detail. In this study, with deletion of the rpoS gene in the PAΔphz1 mutant and the PAΔphz2 mutant respectively, we demonstrated that RpoS exerted opposite regulatory roles on the expression of the phz1and phz2 operons. We also confirmed that the phz1 operon played a critical role and especially biosynthesized much more phenazines than the phz2 operon when the rpoS gene was knocked out in P. aeruginosa. By constructing the translational reporter fusion vector lasR’-’lacZ and the chromosomal fusion mutant PAΔlasR::lacZ, we verified that RpoS deficiency caused increased expression of lasR, a transcription regulator gene in a first quorum sensing system (las) that activates overexpression of the phz1 operon, suggesting that in the absence of RpoS, LasR might act as an intermediate in overproduction of phenazine biosynthesis mediated by the phz1 operon in P. aeruginosa.

Identifi cation of key leaf color-associated genes in Gleditsia sinensis using bioinformatics

Chong Wu,Xuemei Yang,Lijuan Feng,Fei Wang,Haixia Tang,Yanlei Yin 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.5

This study aimed to explore leaf-color associated genes in Gleditsia sinensis ( G. sinensis ) using bioinformatics methods. Green, purple, and yellow leaves were collected from G. sinensis in Shandong Institute of Pomology. Total RNA was collectedfrom leaves and subjected to transcriptome sequencing. Diff erentially expressed genes (DEGs) were identifi ed amongthe diff erent colored leaves using RSEM method followed by functional enrichment analysis. Finally, qRT-PCR analysis wasused to assess the expression of several pigment-related genes enriched in signifi cant GO or KEGG terms. A total of 10,953,14,961, and 8916 DEGs were identifi ed between green vs. purple leaves, green vs. yellow leaves, and purple vs. yellow leaves,respectively. Among the green vs. purple leaves, DEGs were signifi cantly enriched in terms of iron ion binding, tetrapyrrolebinding, (e.g., CYP26A1 , CYP97A3 , and CYP86A1 ), and starch and sucrose metabolism (e.g., TPS and VTC2 ). DEGsfor green/purple vs. yellow groups were markedly enriched in circadian rhythm-plant KEGG pathway, including ELF3 andCHS . Compared with their expression in green leaves, CYP26A1 , CYP97A3 , CYP86A1 , TPS and VTC2 were signifi cantlydownregulated in purple leaves, while downregulation of ELF3 and upregulation of CHS was detected in yellow leaves. CYPs (e.g., CYP26A1 and CYP97A3 ) might play critical roles in the determination of leaf color in G. sinensis via iron ionand tetrapyrrole binding. In addition, genes related to starch and sucrose metabolism (e.g., TPS and VTC2 ), and circadianrhythms (e.g., ELF3 and CHS ) might also be involved in controlling leaf color.

Molecular Cloning and Functional Characterization of FOUR LIPS in Pomegranate, a Protein Involved in Regulating the Gravitropic Set-Point Angle of Adventitious Roots

Wang Zenghui,Li Jialin,Wang Chuanzeng,Feng Lijuan,Yin Yanlei 한국식물학회 2022 Journal of Plant Biology Vol.65 No.5

Self-rooted pomegranate seedlings are widely used in the horticultural industry to cut costs and time. However, these seedlings produce shallow roots that exhibit poor cold resistance. Thus, deeper adventitious roots generated through gravitropism are imperative for seedling survival, and understanding the molecular mechanisms of gravitropism can facilitate improved breeding techniques. We hypothesized that gravitropism in pomegranate is partially controlled by pomegranate FOUR LIPS (PgFLP), an R2R3-MYB protein that interacts with and controls the transcriptional expression of PgPIN10, which facilitates transmembrane auxin signaling. We studied subcellular localization of PgFLP, quantified auxin levels, and measured gravitropic set-point angle (GSA) to investigate the underlying mechanisms regulating PgPIN10 expression during the formation of GSA in pomegranate adventitious roots. We found that PgFLP was localized to the nucleus based on use of green florescent proteins, suggesting that this protein is a transcription factor. When using the tractable 35S::PgFLP, we observed stronger gravitational response in overexpression lines leading to a narrower GSA than in the wild-type Arabidopsis, and the expression of PgFLP and PgPIN10 in ‘Lanbaoshi’ (LBS; a deep-rooted cultivar) was higher than that in ‘Taishanhong’ (TSH; a shallow-rooted cultivar), which indicates that PgFLP may participate in regulating the GSA of adventitious roots via PgPIN10 in pomegranate. Taken together, our results indicate that the pomegranate R2R3-MYB transcription factor, PgFLP, plays a vital role in setting the GSA of adventitious roots in this crop species.

Identification of MicroRNAs as potential biomarkers for detecting ischemic stroke

Li Kexin,Shen Li,Zheng Pingping,Wang Yanjun,Wang Lijuan,Meng Xiaoli,Lv Yaogai,Xue Zhiqiang,Guo Xin,Zhang Anning,Pan Pan,Bi Chunli,Chen Yang,Feng Tianyu,Li Bo,Jin Lina,Yao Yan 한국유전학회 2022 Genes & Genomics Vol.44 No.1

Background: Increasing epidemic of ischemic stroke (IS) makes it urgent to understand the pathogenesis and regulatory mechanism, previous studies have described microRNAs (miRNAs) is part of the brain's response to ischemia. Objective: The aim of this study was to screen potential biomarkers for the prediction and novel treatment of IS. Methods: Differentially expressed miRNAs were screened from three newly diagnosed IS patients and three controls by RNA sequencing technology. Furthermore, target prediction databases were then used to analysis the target genes of different expressed miRNAs, and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database were used to identify the functions and the main biochemical and signal pathways of differentially expressed target genes. Results: Our results revealed that 27 miRNAs were differentially expressed in IS, among which, hsa-miR-659-5p was the most highly increased and was first found to be associated with IS. In addition, KEGG pathway analyses showed that differentially expressed miRNAs were mainly significantly enriched in lysosome pathway, cytokine-cytokine receptor interaction pathway, spliceosome pathway, base excision repair pathway. Conclusions: miRNAs were involved in IS pathogenesis, and hsa-miR-659-5p, hsa-miR-151a-3p and hsa-miR-29c-5p as the three highest |log2FoldChange| regulation in this study, which may be the biomarkers of IS and need further study.

Dammarane-type triterpene oligoglycosides from the leaves and stems of Panax notoginseng and their antiinflammatory activities

Li, Juan,Wang, Ru-Feng,Zhou, Yue,Hu, Hai-Jun,Yang, Ying-Bo,Yang, Li,Wang, Zheng-Tao The Korean Society of Ginseng 2019 Journal of Ginseng Research Vol.43 No.3

Background: Inflammation is widespread in the clinical pathology and closely associated to the progress of many diseases. Triterpenoid saponins as a key group of active ingredients in Panax notoginseng (Burk.) F.H. Chen were demonstrated to show antiinflammatory effects. However, the chemical structures of saponins in the leaves and stems of Panax notoginseng (PNLS) are still not fully clear. Herein, the isolation, purification and further evaluation of the antiinflammatory activity of dammarane-type triterpenoid saponins from PNLS were conducted. Methods: Silica gel and reversed-phase C8 column chromatography were used. Furthermore, preparative HPLC was used as a final purification technique to obtain minor saponins with high purities. MS, NMR experiments, and chemical methods were used in the structural identifications. The antiinflammatory activities of the isolated saponins were assessed by measuring the nitric oxide production in RAW 264.7 cells stimulated by lipopolysaccharides. Real-time reverse transcription polymerase chain reaction was used to measure the gene expressions of inflammation-related gene. Results: Eight new minor dammarane-type triterpene oligoglycosides, namely notoginsenosides LK1-LK8 (1-8) were obtained from PNLS, along with seven known ones. Among the isolated saponins, gypenoside IX significantly suppressed the nitric oxide production and inflammatory cytokines including tumor necrosis $factor-{\alpha}$, interleukin 10, interferon-inducible protein 10 and $interleukin-1{\beta}$. Conclusion: The eight saponins may enrich and expand the chemical library of saponins in Panax genus. Moreover, it is reported for the first time that gypenoside IX showed moderate antiinflammatory activity.