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Schisandra sphenanthera extract(Wuzhi Tablet)protects against chronic-binge and acute alcohol-induced liver injury by regulating the NRF2-ARE pathway in mice

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Acta Pharmaceutica Sinica B 2017年第5期7卷 583-592页

作者： Xuezhen Zeng xi li Chenshu Xu Fulin jiang Yufei Mo xiaomei Fan Yaoting li Yiming jiang Dongshun li Min Huang Huichang Bi School of Pharmaceutical Sciences Sun Yat-sen University Department of Pharmacy School of Medicine Shenzhen University Shenzhen Bao'an Maternal and Child Health Hospital

Alcohol abuse leads to alcoholic liver disease and no effective therapy is currently *** Tablet(WZ), a preparation of extract from Schisandra sphenanthera that is a traditional hepatoprotective herb, exerted a significant protective effect against acetaminophen-induced liver injury in our recent studies, but whether WZ can alleviate alcohol-induced toxicity remains unclear. This study aimed to investigate the contribution of WZ to alcohol-induced liver injury by using chronic-binge and acute models of alcohol feeding. The activities of ALT and AST in serum were assessed as well as the level of GSH and the activity of SOD in the liver. The expression of CYP2E1 and proteins in the NRF2-ARE signaling pathway including NRF2, GCLC, GCLM, HO-1 were measured, and the effect of WZ on NRF2 transcriptional activity was determined. We found that both models resulted in liver steatosis accompanied by increased transaminase activities, but that liver injury was significantly attenuated by WZ. WZ administration also inhibited CYP2E1 expression induced by alcohol, and elevated the level of GSH and the activity of SOD in the liver. Moreover, the NRF2-ARE signaling pathway was activated by WZ andthe target genes were all upregulated. Furthermore, WZ significantly activated NRF2 transcriptional activity. Collectively, our study demonstrates that WZ protected against alcohol-induced liver injury by reducing oxidative stress and improving antioxidant defense, possibly by activating the NRF2-ARE pathway.

关键词： Alcoholic liver injury Schisandra sphenanthera Wuzhi Tablet NRF2-ARE Oxidative stress

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Length-Changeable Incremental Extreme Learning Machine

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Journal of Computer Science & Technology 2017年第3期32卷 630-643页

作者： You-xi Wu Dong liu He jiang School of Computer Science and Software Hebei University of Technology Tianjin 300130 China School of Economics and Management Hebei University of Technology Tianjin 300130 China Hebei Province Key Laboratory of Big Data Calculation Tianjin 300401 China School of Software Dalian University of Technology Dalian 116621 China

Extreme learning machine （ELM） is a learning algorithm for generalized single-hidden-layer feed-forward networks （SLFNs）. In order to obtain a suitable network architecture, Incremental Extreme Learning Machine （I-ELM） is a sort of ELM constructing SLFNs by adding hidden nodes one by one. Although kinds of I-ELM-class algorithms were proposed to improve the convergence rate or to obtain minimal training error, they do not change the construction way of I-ELM or face the over-fitting risk. Making the testing error converge quickly and stably therefore becomes an important issue. In this paper, we proposed a new incremental ELM which is referred to as Length-Changeable Incremental Extreme Learning Machine （LCI-ELM）. It allows more than one hidden node to be added to the network and the existing network will be regarded as a whole in output weights tuning. The output weights of newly added hidden nodes are determined using a partial error-minimizing method. We prove that an SLFN constructed using LCI-ELM has approximation capability on a universal compact input set as well as on a finite training set. Experimental results demonstrate that LCI-ELM achieves higher convergence rate as well as lower over-fitting risk than some competitive I-ELM-class algorithms.

关键词： single-hidden-layer feed-forward network (SLFN) incremental extreme learning machine (I-ELM) random hidden node convergence rate universal approximation

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Infrared radiation simulation of exhaust system by coupling FVM with narrow band k-distribution

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航空动力学报 2012年第1期27卷 25-32页

作者： ZHU xi-juan Eriqitai li xi-xi WANG Qiang School of Jet Propulsion Beijing University of Aeronautics and AstronauticsBeijing 100191China

A three-dimensional infrared radiation code for exhaust system was developed by the finite volume method coupled with narrow band k-distribution in non-gray absorbing-emitting *** final infrared signature had considered the atmosphere effect,and the simulation values were favorably consistent with testing *** results indicate that the relative errors considering the effect of atmosphere compared with that of the contrary condition reduce by 31%,it shows that when simulating the infrared radiation of the target which is received by the infrared detectors,even the calculation band is in atmospheric windows 3～5 μm,the effect of atmospheric transmission on infrared signature of the target should not be neglected.

关键词： exhaust system infrared radiation(IR) finite volume method(FVM) narrow band k-distribution atmospheric transmission

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Effect of Room Temperature Ultrasonic Vibration Compression on the Microstructure Evolution and Mechanical Properties of AZ91 Alloy

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Acta Metallurgica Sinica(English Letters) 2024年第7期37卷 1135-1146页

作者： Ziyue Xu Huan liu Luyao li Chao Sun xi Tan Baishan Chen Qiangsheng Dong Yuna Wu Jinghua jiang jiang Ma College of Materials Science and Engineering Hohai UniversityNanjing210000China Suzhou Research Institute of Hohai University Suzhou215000China Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen518060China Institute of Medical Devices(Suzhou) Southeast UniversitySuzhou215163China Institute for Advanced Study Central South UniversityChangsha410083China jiangsu Key Laboratory of Advanced Structural Materials and Application Technology Nanjing Institute of TechnologyNanjing211167China

To investigate the potential of direct ultrasonic vibration on improving the performance of magnesium alloys,this study first employed the ultrasonic vibration compression(UVC)on the solid solution treated AZ91 alloy,and explored its microstructure evolution and mechanical properties under *** only two seconds,the UVC alloys showed large deformation strains of 34.8–54.4%,and sudden increase of sample temperature to 243℃.Microstructure characterizations proved that UVC promoted the formation of abundant shear bands,fine grains,and the bimodal distribution of Mg17Al12 precipitates consisting of submicron particles located within the shear bands and nano-sized ones within the *** to the unique microstructure,the micro-hardness(and nano-hardness)value of UVC alloy was increased by 37.7%(35%)when compared with the solution-treated ***,the nano-modulus of the developed AZ91 alloy was also significantly increased to 62 GPa by statistical nanoindentation tests,which could be ascribed to increased Mg_(17)Al_(12) precipitates and decreased c/a value to some *** general,this work provides a new insight into the design and preparation of high-performance magnesium alloys by UVC at room temperature.

关键词： AZ91 alloys Ultrasonic vibration compression Precipitation Shear bands Mechanical properties

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Application of computational fluid dynamics simulation for submarine oil spill

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Acta Oceanologica Sinica 2018年第11期37卷 104-115页

作者： YANG Zhenglong YU Jianxing li Zhigan CHEN Haicheng jiang Meirong CHEN xi State Key Laboratory of Hydraulic Engineering Simulation and Safety School of Civil EngineeringTianjin UniversityTianjin 300072China Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai 200240China Offshore Oil Engineering Co.Ltd. China National Offshore Oil Corporation(CNOOC)Tianjin 300451China CNOOC Research Institute Co.Ltd. China National Offshore Oil Corporation(CNOOC)Beijing 100028China

Computational fluid dynamics （CFD） codes are being increasingly used in the simulation of submarine oil spills. This study focuses on the process of oil spills, from damaged submarine pipes, to the sea surface, using numerical models. The underwater oil spill model is developed, and a description of the governing equations is proposed, along with modifications required for the particalization of the control volume. Available experimental data were introduced to evaluate the validity of the CFD predictions, the results of which proved to be in good agreement with the experimental data. The effects of oil leak rate, leak diameter, current velocity, and oil density are investigated, by the validated CFD model, to estimate the undersea leakage time, the lateral migration distance, and surface diffusion range when the oil reaches the sea surface. Results indicate that the leakage time and lateral migration distance increase with decreasing leak rates and leak diameter, and increase with increasing current velocity and oil density. On the other hand, a large leak diameter, high density, high leak rate, or fast currents result in a greater surface diffusion range. The findings and analysis presented here will provide practical predictions of oil spills, and guidance for emergency rescues.

关键词： oil spill computational fluid dynamics (CFD) oil particles current velocity

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Numerical study of inhibition mechanism of high-pressure hydrogen leakage self-ignition with the addition of ammonia

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Petroleum Science 2023年第5期20卷 3184-3193页

作者： lin Teng xi-Gui li Zhi-Wei Shan Wei-Dong li xin Huang Peng-Bo Yin Yong-Zhen liu jiang Bian Yu Luo li-Long jiang National Engineering Research Center of Chemical Fertilizer Catalyst(NERC-CFC) College of Chemical EngineeringFuzhou UniversityFuzhou350000FujianChina Qingyuan Innovation Laboratory(QYIL Fujian Innovation Laboratory of Chemical Engineering)Quanzhou362000FujianChina cEngineering China University of Petroleum(East China)Qingdao266580ShandongChina State Key Laboratory of Automobile Safety and Energy School of Vehicle and MobilityTsinghua UniversityBeijing100084China

Hydrogen and ammonia have attracted increasing attention as carbon-free *** is considered to be an effective energy storage and hydrogen storage ***,a small amount of unremoved NH3 is still present in the product during the decomposition of ammonia to produce ***,it is very essential to investigate the self-ignition of hydrogen-ammonia mixtures in order to accommodate the various scenarios of hydrogen energy *** this paper,the effect of NH3 addition on the self-ignition of high-pressure hydrogen release is numerically *** RNG k-εturbulence model,EDC combustion model,and 213-step detailed NH_(3)/H_(2) combustion mechanism are ***-Pro programs for zero-dimensional homogeneous and constant volume adiabatic reactor models are used for sensitivity analysis and ignition delay time of the chemical reaction *** results showed that the minimum burst pressure required for self-ignition increased significantly after the addition of *** maximum temperature and shock wave intensity inside the tube decreases with increasing ammonia *** ignition delay time and H,HO2,and OH radicals reduce with increasing ammonia concentration.H and HO2 radicals are suggested as indicators for tracking the second and third flame branches,respectively.

关键词： Ammonia-hydrogen energy Self-ignition Shock waves Diffusion ignition Computational fluid dynamics

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Smartphone-powered iontophoresis-microneedle array patch for controlled transdermal delivery

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Microsystems & Nanoengineering 2020年第1期6卷 13-26页

作者： Jingbo Yang Yanjun li Rui Ye Ying Zheng xiangling li Yuzhen Chen xi xie Lelun jiang Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical EngineeringSun Yat-Sen UniversityGuangzhou 510275China State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510275China

The incidence rate of diabetes has been increasing every year in nearly all nations and *** traditional control of diabetes using transdermal insulin delivery by metal needles is generally associated with pain and potential *** microneedle arrays(MAs)have emerged as painless delivery techniques,the integration of MA systems with electronic devices to precisely control drug delivery has rarely been *** this study,we developed an iontophoresis-microneedle array patch(IMAP)powered by a portable smartphone for the active and controllable transdermal delivery of *** IMAP in situ integrates iontophoresis and charged nanovesicles into one patch,achieving a one-step drug administration strategy of“penetration,diffusion and iontophoresis”.The MA of the IMAP is first pressed on the skin to create microholes and then is retracted,followed by the iontophoresis delivery of insulin-loaded nanovesicles through these microholes in an electrically controlled *** method has synergistically and remarkably enhanced controlled insulin *** amount of insulin can be effectively regulated by the IMAP by applying different current *** in vivo study has demonstrated that the IMAP effectively delivers insulin and produces robust hypoglycemic effects in a type-1 diabetic rat model,with more advanced controllability and efficiency than delivery by a pristine microneedle or *** IMAP system shows high potential for diabetes therapy and the capacity to provide active as well as long-term glycemic regulation without medical staff care.

关键词： needle patch delivery

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Improving Geese Production Performance in “Goose-Fish” Production System by Competitive Reduction of Pathogenic Bacteria in Pond Water

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Journal of Integrative Agriculture 2012年第6期11卷 993-1001页

作者： YANG xi-wen liU li jiang Dan-li WANG Cong-li SUN Ai-dong SHI Zhen-dan Department of Animal Science South China Agricultural University Guangzhou 510642 P.R.China Institute of Food Safety and Quality Jiangsu Academy of Agricultural Sciences Nanjing 210014 P.R.China Institute of Animal Science Jiangsu Academy of Agricultural Sciences Nanjing 210014 P.R.China

This study investigated whether competitive reduction of pathogenic bacteria growth in pond water alleviates lipopolysaccharide （LPS） contamination and improves geese production performances in the ＂goose-fish＂ production system, thereby providing the potential for an improved technique for ecological water fowl production. In the first experiment, 240 Magang goslings of 15-d age were randomly and equally allocated into 16 ＂yard and pond＂ pens using a 2-2 factorial design with 4 replications per treatment. In the 55-d experimental period, the goslings received 2 main treatments： supplementation of Bacillus subtilis spores in the feed and addition of photosynthetic bacteria （PSB） to the pond water. Both B. subtilis spores and PSB treatments significantly suppressed water counts of Gram-negative bacteria Escherichia coli, Salmonella and Shigella, and LPS concentrations in pond water and in gosling blood （P〈0.05）. As the result, the two treatments significantly improved gosling weight gain and carcass quality, marked by enhanced breast and leg muscle percentages and reduced subcutaneous fat proportions （P〈0.05）. Moreover, the improved effects of B. subtilis spores and PSB treatments were additive. In the second experiment, 1 160 adult geese were induced to start egg laying from May throughout the summer months. The geese were separated equally into control and experimental flocks to fit into 2 integration production units, with a density of 1 bird m-2 meter on pond water. Experimental flock geese were treated with B. subtilis spores in feed and PSB in the pond water for the duration of the study. Such treatment combination significantly depressed the growth of E. coli, Salmonella and Shigella in the pond water and reduced LPS concentrations both in pond water and in geese blood （P〈0.01）. As a result, egg fertility, fertile and set egg hatchabilities were all improved in the treated flock. Results from both growing goslings and breeding geese demonstrated that water bac

关键词： bacteria growth lipopolysaccharide geese production performance B. subtilis spores photosyntheticbacteria

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Decoding the nexus:branched-chain amino acids and their connection with sleep,circadian rhythms,and cardiometabolic health

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Neural Regeneration Research 2025年第5期20卷 1350-1363页

作者： Hui li Laurent Seugnet Department of Neurology Xijing HospitalXi’anShaanxi ProvinceChina Centre de Recherche en Neurosciences de Lyon Integrated Physiology of the Brain Arousal Systems(WAKING)UniversitéClaude Bernard Lyon 1INSERM U1028CNRS UMR 5292BronFrance

The sleep-wake cycle stands as an integrative process essential for sustaining optimal brain function and,either directly or indirectly,overall body health,encompassing metabolic and cardiovascular *** the heightened metabolic activity of the brain,there exists a considerable demand for nutrients in comparison to other *** these,the branched-chain amino acids,comprising leucine,isoleucine,and valine,display distinctive significance,from their contribution to protein structure to their involvement in overall metabolism,especially in cerebral *** the first amino acids that are released into circulation post-food intake,branched-chain amino acids assume a pivotal role in the regulation of protein synthesis,modulating insulin secretion and the amino acid sensing pathway of target of ***-chain amino acids are key players in influencing the brain's uptake of monoamine precursors,competing for a shared *** their involvement in protein synthesis,these amino acids contribute to the metabolic cycles ofγ-aminobutyric acid and glutamate,as well as energy ***,they impact GABAergic neurons and the excitation/inhibition *** rhythmicity of branchedchain amino acids in plasma concentrations,observed over a 24-hour cycle and conserved in rodent models,is under circadian clock *** mechanisms underlying those rhythms and the physiological consequences of their disruption are not fully *** sleep,obesity,diabetes,and cardiovascular diseases can elevate branched-chain amino acid concentrations or modify their oscillatory *** mechanisms driving these effects are currently the focal point of ongoing research efforts,since normalizing branched-chain amino acid levels has the ability to alleviate the severity of these *** this context,the Drosophila model,though underutilized,holds promise in shedding new light on these *** findings indicate its po

关键词： branched-chain amino acids cardiovascular health circadian clock drosophila insulin metabolism sleep γ-aminobutyric acid

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Estimation of surface ozone concentration over jiangsu province using a high-performance deep learning model

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Journal of Environmental Sciences 2023年第10期132卷 122-133页

作者： xi Mu Sichen Wang Peng jiang Yanlan Wu School of Resources and Environmental Engineering Anhui UniversityHefei 230601China Information Materials and Intelligent Sensing Laboratory of Anhui Province Hefei 230601China Anhui Province Engineering Laboratory for Mine Ecological Remediation Anhui UniversityHefei 230601China

Recently,the global background concentration of ozone(O_(3))has demonstrated a rising *** various methods,groun-basedmonitoring of O_(3)concentrations is highly reliable for research *** obtain information on the spatial characteristics of O_(3)concentrations,it is necessary that the groundmonitoring sites be constructed in sufficient *** recent years,many researchers have used machine learning models to estimate surface O_(3)concentrations,which cannot fully provide the spatial and temporal information contained in a sample *** solve this problem,the current study utilized a deep learning model called the Residual connection Convolutional Long Short-Term Memory network(RConvLSTM)to estimate daily maximum8-hr average(MDA8)O_(3)over jiangsu province,China during *** this research,the R-ConvLSTM model not only provides the spatiotemporal information ofMDA8 O_(3),but also involves residual connection to avoid the problem of gradient explosion and gradient disappearance with the deepening of network *** utilized the TROPOMI total O_(3)column retrieved fromSentinel-5 Precursor,ERA5 reanalysismeteorological data,and other supplementary data to build a pre-trained *** R-ConvLSTM model achieved an overall sample-base cross-validation(CV)R^(2)of 0.955 with root mean square error(RMSE)of 9.372μg/m^(3).Model estimation also showed a city-based CV R^(2)of 0.896 with RMSE of 14.029μg/m^(3),the highest MDA8 O_(3)in spring being 122.60±31.60μg/m^(3)and the lowest in winter being 69.93±18.48μg/m^(3).

关键词： Ozone pollution jiangsu province Sentinel-5 precursor Deep learning

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