The effects of methionine on TCE-induced DNA methylation and mRNA expression changes in mouse liver

Jiahong Chen,Hang Zhang,Stanley Aniagu,Yan Jiang,Tao Chen,Y. Jiang,T. Chen 대한독성 유전단백체 학회 2017 Molecular & cellular toxicology Vol.13 No.1

Trichloroethylene (TCE) had been shown to induce aberrant DNA methylation changes in mouse liver, which could be critical in the development of hepatocellular carcinoma. To understand the effect of methionine, a methyl donor, on TCE-induced mouse liver cancer, we exposed B6C3F1 mice to TCE in the presence or absence of methionine. We found that supplementation with methionine attenuated the TCE-induced hypo- and hyper-methylation status of Cdkn1a and Ihh in mouse liver, respectively. The TCE-induced mRNA expression changes of Cdkn1a, Ihh and Jun were also alleviated by methionine. However, methionine supplementation accelerated the TCE-induced mRNA over-expression of Mki67, and enhanced the TCE-induced mRNA down-regulation of Dnmt3a and Tet2. In summary, our results showed that methionine could attenuate at least part of the TCE-induced DNA methylation changes, but the additional gene expression changes induced by supplementary of methionine does not support the assumption that methionine could prevent TCE-induced liver carcinogenesis.

ZVT Series Capacitor Interleaved Buck Converter with High Step-Down Conversion Ratio

Chen, Zhangyong,Chen, Yong,Jiang, Wei,Yan, Tiesheng The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.4

Voltage step-down converters are very popular in distributed power systems, voltage regular modules, electric vehicles, etc. However, a high step-down voltage ratio is required in many applications to prevent the traditional buck converter from operating at extreme duty cycles. In this paper, a series capacitor interleaved buck converter with a soft switching technique is proposed. The DC voltage ratio of the proposed converter is half that of the traditional buck converter and the voltage stress across the one main switch and the diodes is reduced. Moreover, by paralleling the series connected auxiliary switch and the auxiliary inductor with the main inductor, zero voltage transition (ZVT) of the main switches can be obtained without increasing the voltage or current stress of the main power switches. In addition, zero current turned-on and zero current switching (ZCS) of the auxiliary switches can be achieved. Furthermore, owing to the presence of the auxiliary inductor, the turned-off rate of the output diodes can be limited and the reverse-recovery switching losses of the diodes can be reduced. Thus, the efficiency of the proposed converter can be improved. The DC voltage gain ratio, soft switching conditions and a design guideline for the critical parameters are given in this paper. A loss analysis of the proposed converter is shown to demonstrate its advantages over traditional converter topologies. Finally, experimental results obtained from a 100V/10V prototype are presented to verify the analysis of the proposed converter.

Load Forecasting Based on LSTM Neural Network and Applicable to Loads of “Replacement of Coal with Electricity”

Chen Zexi,Zhang Delong,Jiang Haoran,Wang Longze,Chen Yongcong,Xiao Yang,Liu Jinxin,Zhang Yan,Li Meicheng 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5

With the complete implementation of the “Replacement of Coal with Electricity” policy, electric loads borne by urban power systems have achieved explosive growth. The traditional load forecasting method based on “similar days” only applies to the power systems with stable load levels and fails to show adequate accuracy. Therefore, a novel load forecasting approach based on long short-term memory (LSTM) was proposed in this paper. The structure of LSTM and the procedure are introduced firstly. The following factors have been fully considered in this model: time-series characteristics of electric loads; weather, temperature, and wind force. In addition, an experimental verification was performed for “Replacement of Coal with Electricity” data. The accuracy of load forecasting was elevated from 83.2 to 95%. The results indicate that the model promptly and accurately reveals the load capacity of grid power systems in the real application, which has proved instrumental to early warning and emergency management of power system faults. With the complete implementation of the “Replacement of Coal with Electricity” policy, electric loads borne by urban power systems have achieved explosive growth. The traditional load forecasting method based on “similar days” only applies to the power systems with stable load levels and fails to show adequate accuracy. Therefore, a novel load forecasting approach based on long short-term memory (LSTM) was proposed in this paper. The structure of LSTM and the procedure are introduced fi rstly. The following factors have been fully considered in this model: time-series characteristics of electric loads; weather, temperature, and wind force. In addition, an experimental verifi cation was performed for “Replacement of Coal with Electricity” data. The accuracy of load forecasting was elevated from 83.2 to 95%. The results indicate that the model promptly and accurately reveals the load capacity of grid power systems in the real application, which has proved instrumental to early warning and emergency management of power system faults.

Physics-informed Gaussian Process Probabilistic Modeling with Multi-source Data for Prognostics of Degradation Processes

Chen Jiang(장첸),Hyunhee Choi(최현희),Byeng D. Youn(윤병동) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.5

Patterns and drivers of Vibrio isolates phylogenetic diversity in the Beibu Gulf, China

Chen Xing,Du Hong,Chen Si,Li Xiaoli,Zhao Huaxian,Xu Qiangsheng,Tang Jinli,Jiang Gonglingxia,Zou Shuqi,Dong Ke,Adams Jonathan M.,Li Nan,Jiang Chengjian 한국미생물학회 2020 The journal of microbiology Vol.58 No.12

Members of the genus Vibrio are ubiquitous in aquatic environments and can be found either in a culturable or a viable but nonculturable (VBNC) state. Despite widespread concerns as to how to define the occurrence and dynamics of Vibrio populations by culture-independent approaches, further physiological research and relevant biotechnological developments will require the isolation and cultivation of the microbes from various environments. The present work provides data and perspectives on our understanding of culturable Vibrio community structure and diversity in the Beibu Gulf. Finally, we isolated 1,037 strains of Vibrio from 45 samples and identified 18 different species. Vibrio alginolyticus, V. cyclitrophicus, V. tasmaniensis, V. brasiliensis, and V. splendidus were the dominant species that had regional distribution characteristics. The correlation between the quantitative distribution and community structure of culturable Vibrio and environmental factors varied with the Vibrio species and geographical locations. Among them, salinity, nitrogen, and phosphorus were the main factors affecting the diversity of culturable Vibrio. These results help to fill a knowledge gap on Vibrio diversity and provide data for predicting and controlling pathogenic Vibrio outbreaks in the Beibu Gulf.

Estimation of Energy Savings when Adopting Ultrasonic Vibration-assisted Magnetic Compound Fluid Polishing

Chen Jiang,Jialei Huang,Zhenyu Jiang,Dabing Qian,Xiaolan Hong 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.8 No.1

Reducing energy use is a major consideration in green manufacturing. Ultrasonic vibration has the advantage of improving machining performance. This work presents an experimental investigation on magnetic compound fluid (MCF) polishing with and without ultrasonic vibration and estimates reductions in polishing energy consumption and surface roughness due to ultrasonic vibration during the machining process. A series of ultrasonic vibration-assisted MCF polishing (UVAMP) tests was carried out for brass H62, and the normal and tangential polishing forces, surface roughness and material removal rate of the traditional MCF polishing (MP) and UVAMP of brass were investigated for various machining parameters. The polishing energy consumptions during traditional MCF polishing and UVAMP were calculated and analyzed from the perspective of the energy of the polishing process. Results indicate that the use of UVAMP considerably reduces energy consumption and surface roughness during the polishing of brass. The adoption of UVAMP therefore has the potential to improve the efficiency and quality of polishing processes and offers a practical solution for the greener manufacturing of brass.

Bayesian Calibration for Uncertainty Reduction of Static and Dynamic Predictive Models

Chen Jiang(장침),Byeng D. Youn(윤병동) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.5

Selected microRNA-192 mutant indicates association with several function genes in bovine cells

Chen Zi,Dexin Zeng,Jiyong Zhou,Jianjun Dai,Luyan Jiang,Feng Xue,Yuan Jiang,Baoguang Li 한국유전학회 2018 Genes & Genomics Vol.40 No.4

MicroRNAs are implicated in many cellular processes such as cell differentiation and development, tumorigenesis, and immune regulation. In this study, miR192 was detected using quantitative real-time polymerase chain reaction (qRT-PCR) when MDBK cells were exposed to Escherichia coli. Cells with malfunction of bta-miR-192 were established using transcription activator-like effector nuclease (TALEN) technology. Finally, bta-miR-192 mutant cells were screened for differentially expressed genes using RNA-sequencing (RNA-seq). The results showed that miR192 significantly decreased in cells exposed to E. coli F18ac and E. coli K88ac. The RNA-seq results showed that 1673 differentially expressed transcripts were identified; 890 genes were upregulated and 775 genes were downregulated. With the gene ontology enrichment analysis, 431 differentially expressed genes (DEGs) were classified into 937 gene ontology terms. The pathway enrichment analysis showed that 535 genes were involved in 254 pathway terms. Interestingly, most of these DEGs were associated with the pathways in cancers or infectious diseases. When the selected DEGs (n = 162) in these pathways were intersected with 120 differential transcripts, 11 DEGs were identified. Subsequently, several genes associated with regulation, cancers, or viral infections, such as LEF1, AXIN2, MX1, and FCGR2B, were identified among the DEGs using functional analysis. Furthermore, associations between bta-miR-192 and DEGs were detected by intersecting the bta-miR-192’s target genes with the DEGs, indicating that three genes including CBL, DICER1 and TRERF1 were involved in this relationship. These findings provided useful guidance for investigating the role played by bta-miR-192 in cellular functionality in bovine cells.

Infection Control and Management Strategy for COVID-19 in the Radiology Department: Focusing on Experiences from China

Chen Qian,Zu Zi Yue,Jiang Meng Di,Lu Lingquan,Lu Guang Ming,Zhang Long Jiang 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.7

Coronavirus disease 2019 (COVID-19) is a new infectious disease rapidly spreading around the world, raising global public health concerns. Radiological examinations play a crucial role in the early diagnosis and follow-up of COVID-19. Cross infection among patients and radiographers can occur in radiology departments due to the close and frequent contact of radiographers with confirmed or potentially infected patients in a relatively confined room during radiological workflow. This article outlines our experience in the emergency management procedure and infection control of the radiology department during the COVID-19 outbreak.

Microstructure and mechanical properties of carbon graphite composites reinforced by carbon nanofibers

Chen Yixing,Tu Chuanjun,Liu Yanli,Liu Ping,Gong Pei,Wu Guangning,Huang Xia,Chen Jian,Liu Tianhua,Jiang Jizhou 한국탄소학회 2023 Carbon Letters Vol.33 No.2

Renewed interest in the reinforced carbon graphite composites has intrigued the community in the advanced materials fields. In this work, we present a simple carbon nanofibers reinforced carbon graphite composites synthetic method by incorporating mixture of coal tar pitch, synthetic graphite, pitch coke and the dispersion liquid of carbon nanofibers via liquid-phase mixing process. The impact of carbon nanofiber utilization on the microstructures and mechanical properties of carbon graphite composites are studied systematically. The covalent surface modification of carbon nanofibers effectively improves its microstructure and thereby promotes the carbon graphite composites’ dispersion behavior. We propose that a small amount of carbon nanofibers could promote the carbonization process of carbon graphite composites, facilitating the densification of carbon graphite composites and reducing the undesired open porosity. The amount of 0.7 wt % of carbon nanofiber concentration allows the enhancement of bend and compressive strength of carbon graphite composites up to 36.50 MPa and 60.46 MPa, increased by 167.9% and 146.9% compared with the pure carbon graphite composite, respectively. Our findings can be rationalized due to the improvement in the mechanical strength of carbon graphite composites could be attributed due to pull-out of carbon nanofibers from the matrix and bridging effect across the crack pores within the matrix.