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Lycium barbarum Polysaccharides Promotes Mitochondrial Biogenesis and Energy Balance in NAFLD Cell Model

Chinese Journal of Integrative Medicine 2022年第11期28卷 975-982页

作者： ZHANG Yan-nan guo yi-qiong FAN Yan-na TAO Xiu-juan GAO Qing-han YANG Jian-jun School of Public Healthand Management Ningxia Medical UniversityYinchuan(750004)China NingxiaKey Laboratory of Environmental Factors and Chronic Disease Control Yinchuan(750004)China Xi'an Chang'an South Road Community Health Service Center Xi'anYanta Hospital of Chinese MedicineXi'an(710000)China

Objective:To explore the protective effect and underlying mechanism of Lycium barbarum polysaccharides(LBP)in a non-alcoholic fatty liver disease(NAFLD)cell ***:Normal human hepatocyte LO2 cells were treated with 1 mmol/L free fatty acids(FFA)mixture for 24 h to induce NAFLD cell *** were divided into 5 groups,including control,model,low-,medium-and high dose LBP(30,100and 300μg/mL)*** monosaccharide components of LBP were analyzed with high performance liquid *** of LBP on cell viability and intracellular lipid accumulation were assessed by cell counting Kit-8 assay and oil red O staining,***(TG),alanine aminotransferase(ALT),aspartate aminotransferase(AST),adenosine triphosphate(ATP)and oxidative stress indicators were *** balance and mitochondrial biogenesis related mRNA and proteins were determined by quantitative real-time polymerase chain reaction and Western blot,***:Heteropolysaccharides with mannose and glucose are the main components of *** treatment significantly decreased intracellular lipid accumulation as well as TG,ALT,AST and malondialdehyde levels(P<0.05 or P<0.01),increased the levels of superoxide dismutase,phospholipid hydroperoxide glutathione peroxidase,catalase,and ATP in NAFLD cell model(P<0.05).Meanwhile,the expression of uncoupling protein 2 was down-regulated and peroxisome proliferator-activated receptor gamma coactivator-1α/nuclear respiratory factor 1/mitochondrial transcription factor A pathway was up-regulated(P<0.05).Conclusion:LBP promotes mitochondrial biogenesis and improves energy balance in NAFLD cell model.

关键词： Lycium barbarum polysaccharides non-alcoholic fatty liver disease mitochondrial biogenesis energy balance Chinese medicine

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Constrained Networked Predictive Control for Nonlinear Systems Using a High-Order Fully Actuated System Approach

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 478-480页

作者： yi Huang guo-Ping Liu yi Yu Wenshan Hu the School of Electrical Engineering and Automation Wuhan University IEEE the Center for Control Science and Technology Southern University of Science and Technology the Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University

Dear Editor,In this letter, a constrained networked predictive control strategy is proposed for the optimal control problem of complex nonlinear highorder fully actuated (HOFA) systems with noises. The method can effectively deal with nonlinearities, constraints, and noises in the system, optimize the performance metric, and present an upper bound on the stable output of the system.

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The detection,extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期68卷 82-92页

作者： Qianyun Yun Wen-Biao Han yi-Yang guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou 310124China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China Taiji Laboratory for Gravitational Wave Universe(Beijing/Hangzhou) University of Chinese Academy of SciencesBeijing 100049China Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu ProvinceKey Laboratory of Quantum Theory and Applications of MoELanzhou UniversityLanzhou 730000China Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China International Centre for Theoretical Physics Asia-Pacific(ICTP-AP) University of Chinese Academy of Sciences(UCAS)Beijing 100049China Center for Gravitational Wave Experiment National Microgravity LaboratoryInstitute of MechanicsChinese Academy of SciencesBeijing 100190China

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EM-RIs).This task is particularly challenging because EMRI signals are complex,lengthy,and *** this work,we introduce a 2-layer convolutional neural network(CNN)approach to detect EMRI signals for space-borne detectors,achieving a true positive rate(TPR)of 96.9%at a 1%false positive rate(FPR)for signal-to-noise ratio(SNR)from 50 to ***,the key intrinsic parameters of EMRIs such as the mass,spin of the supermassive black hole(SMBH)and the initial eccentricity of the orbit can also be inferred directly by employing a neural *** mass and spin of the SMBH can be determined at 99%and 92%*** will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform *** study underscores the potential of deep learning methods in EMRI data analysis,enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

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Polypropylene-based blend with enhanced breakdown strength under gamma-ray irradiation for cable insulation

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Nuclear Science and Techniques 2025年第1期36卷 35-48页

作者： Bai-Xin Liu Yu Gao Jing Li Chen-yi guo Bo-Sen Si Jun-guo Gao Yu Chen Bo-Xue Du School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China Key Laboratory of Engineering Dielectrics and Its Application Ministry of EducationHarbin University of Science and TechnologyHarbin 150080China State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong UniversityXi’an 710049China

This study focuses on the electrical properties and microstructure of polypropylene(PP)-based blends used for cable insulation in nuclear power plants(NPPs).The PP-based blend,comprising isotactic PP and propylene-based elastomer(PBE)at concentrations ranging from 0 to 50 wt%,underwent a melt blending process and subsequent cobalt-60 gamma-ray irradiation with doses ranging from 0 to 250 *** conductivity,trap distribution,and alternating(AC)breakdown strength were chosen to assess the insulation *** results indicate that the addition of PBE significantly improves the electrical properties of PP under *** PP,the electrical conductivity increased with irradiation,whereas the trap depth and breakdown strength decreased ***,for the blend,these changes initially exhibit opposite *** the irradiation was increased to 250 kGy,the AC breakdown strength of the blend improved by more than 21%compared to that of *** physical and chemical structures of the samples were investigated to explore the improvement *** results offer insights into the design of new cable-insulation materials suitable for NPPs.

关键词： Nuclear power plant Cable insulation Polypropylene Electrical properties Gamma-ray irradiation

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New Insights on Gamma-Ray Burst Radiation Mechanisms from Multiwavelength Observations

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Research in Astronomy and Astrophysics 2025年第2期25卷 3-12页

作者： Yu-Hua Yao Fang-Sheng Min Shi Chen yi-Qing guo College of Physics Chongqing University Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Wisconsin Ice Cube Particle Astrophysics Center University of Wisconsin–Madison University of Chinese Academy of Sciences School of Physics and Astronomy Yunnan University Tianfu Cosmic Ray Research Center

The study of high-energy gamma-ray emission from gamma-ray bursts(GRBs) involves complex synchrotron radiation and synchrotron self-Compton(SSC) scattering mechanisms with multiple parameters exhibiting a wide distribution. Recent advancements in GRB research, particularly the observation of very high energy(VHE,>100 Ge V) radiation, have ushered in a new era of multiwavelength exploration, offering fresh perspectives and limitations for understanding GRB radiation mechanisms. This study aimed to leverage VHE observations to refine constraints on synchrotron + SSC radiation from electrons accelerated by forward shocks. By analyzing two external environments—the uniform interstellar medium and stratified stellar wind medium, we conducted spectral and variability fitting for five specific bursts(GRB 180720B, GRB 190114C, GRB 190829A, GRB 201216C, and GRB 221009A) to identify the optimal parameters characterizing these events. A comparative analysis of model parameter distributions with and without VHE radiation observations reveals that the magnetic energy equipartition factor εBis more concentrated with VHE emissions. This suggests that VHE emissions may offer greater constraints on this microphysical parameter. Additionally, we found that the energy budget between VHE and ke V–Me V γ-ray emissions under the SSC radiation exhibits an almost linear relationship, which may serve as a tool to differentiate radiation mechanisms. We anticipate future statistical analyses of additional VHE bursts to validate our findings.

关键词： (transients:) gamma-ray bursts gamma-rays: ISM radiation mechanisms: non-thermal

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Forecasting step-like landslide displacement through diverse monitoring frequencies

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Journal of Mountain Science 2025年第1期22卷 122-141页

作者： guo Fei XU Zhizhen HU Jilei DOU Jie LI Xiaowei yi Qinglin Key Laboratory of Geological Hazards on Three Gorges Reservoir Area(China Three Gorges University) Ministry of EducationYichang 443002China College of Civil Engineering&Architecture China Three Gorges UniversityYichang 443002China Badong National Observation and Research Station of Geohazards China University of GeosciencesWuhan 430074China Central-South Institute of Metallurgical Geology Yichang 443003China Xi’an Railway Bridge Engineering CO. LTD of China Railway Seventh GroupXi’an 710032China

The precision of landslide displacement prediction is crucial for effective landslide prevention and mitigation ***,the role of surface monitoring frequency in influencing prediction accuracy has been largely *** study examined the effect of varying monitoring frequencies on the accuracy of displacement predictions by using the Baijiabao landslide in the Three Gorges Reservoir Area(TGRA)as a case *** collected surface automatic monitoring data at different intervals,ranging from daily to *** Ensemble Empirical Mode Decomposition(EEMD)algorithm was utilized to dissect the accumulated displacements into periodic and trend components at each monitoring *** fitting was applied to forecast the trend component while the periodic component was predicted with two state-of-the-art neural network models:Long Short-Term Memory(LSTM)and Gated Recurrent Unit(GRU).The predictions from these models were integrated to derive cumulative displacement forecasts,enabling a comparative analysis of prediction accuracy across different monitoring *** results demonstrate that the proposed models achieve high accuracy in landslide displacement forecasting,with optimal performance observed at moderate monitoring ***,the daily mean average error(MAE)decreases sharply with increasing monitoring frequency,reaching a *** findings were corroborated by a parallel analysis of the Bazimen landslide,suggesting that moderate monitoring intervals of approximately 7 to 15 days are most conducive to achieving enhanced prediction accuracy compared to both daily and monthly intervals.

关键词： Three Gorges Reservoir Area Step-like landslide Different monitoring frequencies EEMD algorithm GRU predictive model

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Modeling of Spring Phenology of Boreal Forest by Coupling Machine Learning and Diurnal Temperature Indicators

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Chinese Geographical Science 2025年第1期35卷 38-54页

作者： DENG guorong ZHANG Hongyan HONG ying guo Xiaoyi yi Zhihua EHSAN BINIYAZ School of Hydraulic Engineering Nanchang Institute of TechnologyNanchang 330099China Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains Ministry of EducationSchool of Geographical SciencesNortheast Normal UniversityChangchun 130024China Urban Remote Sensing Application Innovation Center School of Geographical SciencesNortheast Normal UniversityChangchun 130024China School of Geographical Sciences Inner Mongolia Normal UniversityHohhot 010022China Landscape Ecology and Geoinformation Science Department of GeographyKiel UniversityKiel 24118Germany

The roles of diurnal temperature in providing heat accumulation and chilling requirements for vegetation spring phenology *** previous studies have established a stronger correlation between leaf onset and diurnal temperature than between leaf onset and average temperature,current research on modeling spring phenology based on diurnal temperature indicators remains *** this study,we confirmed the start of the growing season(SOS)sensitivity to diurnal temperature and average temperature in boreal *** estimation of SOS was carried out by employing K-Nearest Neighbor Regression(KNR-TDN)model,Random Forest Regres-sion(RFR-TDN)model,eXtreme Gradient Boosting(XGB-TDN)model and Light Gradient Boosting Machine model(LightGBM-TDN)driven by diurnal temperature indicators during 1982-2015,and the SOS was projected from 2015 to 2100 based on the Coupled Model Intercomparison Project Phase 6(CMIP6)climate scenario *** sensitivity of boreal forest SOS to daytime temperature is greater than that to average temperature and nighttime *** LightGBM-TDN model perform best across all vegetation types,exhibiting the lowest RMSE and bias compared to the KNR-TDN model,RFR-TDN model and XGB-TDN *** incorporating diurn-al temperature indicators instead of relying only on average temperature indicators to simulate spring phenology,an improvement in the accuracy of the model is ***,the preseason accumulated daytime temperature,daytime temperature and snow cover end date emerged as significant drivers of the SOS simulation in the study *** simulation results based on LightGBM-TDN model exhibit a trend of advancing SOS followed by stabilization under future climate *** study underscores the potential of diurn-al temperature indicators as a viable alternative to average temperature indicators in driving spring phenology models,offering a prom-ising new method for simulating spring phenology.

关键词： spring phenology diurnal temperature machine learning future climate scenarios boreal forest

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2024 Annual Report of China Mineral Resources (copper, gold, coal, etc.)

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China Geology 2025年第1期8卷 235-236页

作者： Li-qiong Jia Xi-jie Chen Zi-guo Hao Development and Research Center China Geological SurveyMinistry of Natural ResourcesBeijing 100037China

In October 2024,the Ministry of Natural Resources of PRC released the 2024 China Mineral Resources Report,which focuses on new progress since 2023 in the geological and mineral survey and evaluation,mineral resource exploration and development,mine ecological restoration,green mine construction,new changes in mineral resource policies and regulations,new measures in mineral resource management,new situations in scientific and technological innovation,as well as the new achievements of the international geological and mineral cooperation.

关键词： gold copper resource

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How do Notch Shape and Boundary Conditions Affect the Hydro-Mechanical Behavior of Fractured Geomaterials?Findings via the Darcy-Brinkman-Biot Approach

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Journal of Earth Science 2025年第1期36卷 351-356页

作者： yi-Xiang Wang Xiao-Pei guo Ling Xu Shi-Feng Lu Department of Civil Engineering School of Human Settlements and Civil EngineeringXi'an Jiaotong UniversityXi'an 710049China China Construction Eighth Engineering Division Co. Ltd.Southwest BranchChengdu 610041China

0 INTRODUCTION Natural geomaterials,including soils and rocks,are invariably exposed to intricate stress conditions,in addition to water pressure,in various engineering contexts such as foundation treatment,mining,and *** geomaterials frequently contain numerous fractures,which significantly influence hydrological dynamics as water permeates through them,leading to processes like expansion and bifurcation(Shu et al.,2023;Tran and Jha,2021;Lei et al.,2017;Wang et al.,2015).

关键词： bifurcation invar mining

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经济地理学的研究进展与趋势—基于经济地理代表性学者的研究

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世界地理研究 2016年第4期25卷 48-57页

作者：周洲王琛郭一琼浙江大学地球科学学院杭州310027

在学术界，代表性学者和机构对学科的产生和发展起着至关重要的作用，了解其总体格局和研究趋势有助于加深我们对该学科的认识和理解。文章对1980 年～2014年海外经济地理代表性学者、机构、热点问题和研究趋势作了较为全面的分析。从... 详细信息

在学术界，代表性学者和机构对学科的产生和发展起着至关重要的作用，了解其总体格局和研究趋势有助于加深我们对该学科的认识和理解。文章对1980 年～2014年海外经济地理代表性学者、机构、热点问题和研究趋势作了较为全面的分析。从研究结果中发现：（1）30 多年以来的经济地理代表性学者和机构主要来自于英、美和少数几个欧洲发达国家；（2 ）亚洲经济地理学者的总影响力在国际上并不突出，在59 位经济地理代表性学者中，亚裔学者仅有4 位；（3 ）近年来的研究趋势呈现出明显的演化转向，金融危机背景下的区域弹性和有关亚洲经济发展等一系列问题逐渐成为热点问题。总的来说，经济地理学不仅是一门交叉性很强的学科，而且其产生和发展与特殊时期和特殊地域背景密不可分，虽然目前的全球经济地理学仍由欧美等发达国家主导，但亚洲经济的崛起让拥有海外教育背景的亚裔学者崭露头角，或将打破垄断的僵局。

关键词：经济地理学代表性学者和机构 h指数总体格局研究趋势

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