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Effect of the Shensong Yangxin Capsule on Energy Metabolism in Angiotensin II-lnduced Cardiac Hypertrophy

Chinese Medical Journal 2018年第19期131卷 2287-2296页

作者： bei-lei liu Mian Cheng Shan Hu Shun Wang Le Wang Zheng-Qing Hu Cong-Xin Huang Hong Jiang Gang Wu Department of Cardiology Renmin Hospital of Wuhan University Cardiovascular Research Institute Hubei Key Laboratory of Cardiology Wuhan Hubei 430060 China Department of Geriatrics Tongji Hospital Tongji Medical Corlege Huazhong University of Science and Technology Wuhan Hubei 430074 China Department of Cardiology Ezhou Hospital Renmin Hospital of Wuhan University Ezhou Hubei 436000 China

Background：Shensong Yangxin Capsule （SSYX）,traditional Chinese medicine,has been used to treat arrhythmias,angina,cardiac remodeling,cardiac fibrosis,and so on,but its effect on cardiac energy metabolism is still not *** objective of this study was to investigate the effects of SSYX on myocardium energy metabolism in angiotensin （Ang） Ⅱ-induced cardiac ***：We used 2 μl （10-6 mol/L） AngⅡ to treat neonatal rat cardiomyocytes （NRCMs） for 48 *** α-ac tinin staining showed that the myocardial cell volume *** of the cardiac hypertrophic marker-brain natriuretic peptide （BNP） messenger RNA （mRNA） also increased by real-time polymerase chain reaction （PCR）.Therefore,it can be assumed that the model of hypertrophic cardiomyocytes was successfully ***,NRCMs were treated with 1 μl of different concentrations of SSYX （0.25,0.5,and 1.0 μg/ml） for another 24 *** explore the time-depend effect of SSYX on energy metabolism,0.5 μg/ml SSYX was added into cells for 0,6,12,24,and 48 *** was assessed by MitoTracker staining and confocal *** and protein expression of mitochondrial biogenesis-related genes-Peroxisome proliferator-activated receptor-γ coactivator-1 α （PGC-1 α）,energy balance key factor -adenosine monophosphate-activated protein kinase （AMPK）,fatty acids oxidation factor-camitine palmitoyltransferase-1 （CPT-1）,and glucose oxidation factor-glucose transporter-4 （GLUT-4） were measured by PCR and Western blotting ***：With the increase in the concentration of SSYX （from 0.25 to 1.0 μg/ml）,an increased mitochondrial density in Angll-induced cardiomyocytes was found compared to that of those treated with Angll only （0.25 μg/ml,18.3300 ± 0.8895 vs.24.4900 ± 0.9041,t =10.240,P 〈 0.0001;0.5 μg/ml,18.3300 ± 0.8895 vs.25.9800 ± 0.8187,t =12.710,P 〈 0.0001;and 1.0 μg/ml,18.3300 ± 0.8895 vs.24.2900 ± 1.3120,t =9.902,P 〈 0.0001;n =5 per dosage group）.SSYX also increased the mRNA and protein

关键词： AMP-Activated Protein Kinase Cardiac Hypertrophy Energy Metabolism Peroxisome Proliferator-Activated ReceptorGamma Coactivator- 1 Alpha Shensong Yangxin Capsule

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Effect of Tb/Mg doping on composition and physical properties of hydroxyapatite nanoparticles for gene vector application

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Transactions of Nonferrous Metals Society of China 2018年第1期28卷 125-136页

作者： Liang-jian CHEN Tian CHEN Jun CAO bei-lei liu Chun-sheng SHAO Ke-chao ZHOU Dou ZHANG Department of Stomatology Third Xiangya Hospital Central South University Changsha 410013 China State Key Laboratory of Powder Metallurgy Central South University Changsha 410083 China Xiangya School of Medicine Central South University Changsha 410013 China

Transfection efficiency of hydroxyapatite nanoparticles(HAnps)is relative to the particle size,morphology,surface charge,surface modifier and so *** study prepared HAnps with doped Tb/Mg by hydrothermal synthesis method(HTSM)and investigated the effects of different Tb/Mg contents on the morphology,particle size,surface charge,composition and cellular endocytosis of *** results showed that Mg-HAnps possessed better dispersion ability than *** increasing doping content of Tb/Mg-HAnps,the granularity of Tb-HAnps increased,while that of Mg-HAnps *** particle size and zeta potential of Mg-HAnps were lower than those of Tb-HAnps.7.5%Mg-doping HAnps presented relatively uniform slender rod morphology with average size of30nm,while10%Mg-doping HAnps were prone to ***,Mg-HAnps-GFP(green fluorescent protein)endocytosed by MG63cells was dotted in the perinuclear region,while Tb-HAnps were more likely to *** conclusion,as gene vectors,Mg-HAnps showed enhanced properties compared to Tb-HAnps.

关键词： hydroxyapatite nanoparticles gene vector endocytosis doping fluorescence labeling

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C-reactive protein to albumin ratio predict responses to programmed cell death-1 inhibitors in hepatocellular carcinoma patients

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World Journal of Gastrointestinal Oncology 2024年第1期16卷 61-78页

作者： Bai-bei Li lei-Jie Chen Shi-liu Lu Biao lei Gui-Lin Yu Shui-Ping Yu Department of Hepatobiliary Surgery The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor(Guangxi Medical University) Ministry of EducationNanning 530021Guangxi Zhuang Autonomous RegionChina Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Gastroenterology The Second Xiangya Hospital of Central South UniversityNanning 410011Guangxi Zhuang Autonomous RegionChina Department of Emergency The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina

BACKGROUND Over the years,programmed cell death-1(PD-1)inhibitors have been routinely used for hepatocellular carcinoma(HCC)treatment and yielded improved survival ***,significant heterogeneity surrounds the outcomes of most ***,it is critical to search for biomarkers that predict the efficacy of PD-1 inhibitors in patients with *** To investigate the role of the C-reactive protein to albumin ratio(CAR)in evaluating the efficacy of PD-1 inhibitors for *** The clinical data of 160 patients with HCC treated with PD-1 inhibitors from January 2018 to November 2022 at the First Affiliated Hospital of Guangxi Medical University were retrospectively *** The optimal cut-off value for CAR based on progression-free survival(PFS)was determined to be 1.20 using x-tile *** proportional risk model was used to determine the factors affecting *** Cooperative Oncology Group performance status[hazard ratio(HR)=1.754,95%confidence interval(95%CI)=1.045-2.944,P=0.033],CAR(HR=2.118,95%CI=1.057-4.243,P=0.034)and tumor number(HR=2.932,95%CI=1.246-6.897,P=0.014)were independent prognostic factors for overall ***(HR=2.730,95%CI=1.502-4.961,P=0.001),tumor number(HR=1.584,95%CI=1.003-2.500,P=0.048)and neutrophil to lymphocyte ratio(HR=1.120,95%CI=1.022-1.228,P=0.015)were independent prognostic factors for *** nomograms were constructed based on independent prognostic *** C-index index and calibration plots confirmed that the nomogram is a reliable risk prediction *** ROC curve and decision curve analysis confirmed that the nomogram has a good predictive effect as well as a net clinical *** Overall,we reveal that the CAR is a potential predictor of short-and long-term prognosis in patients with HCC treated with PD-1 *** further verified,CAR-based nomogram may increase the number of markers that predict individualized prognosis.

关键词： C-reactive protein to albumin ratio Hepatocellular carcinoma Programmed cell death-1 inhibitors Prognosis Nomogram

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Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 727-740页

作者： Chengkai Fan Na Zhang bei Jiang Wei Victor liu Department of Civil and Environmental Engineering University of AlbertaEdmontonAlbertaT6G 2E3Canada Department of Mathematical and Statistical Sciences University of AlbertaEdmontonAlbertaT6G 2G1Canada

Ore production is usually affected by multiple influencing inputs at open-pit ***,the complex nonlinear relationships between these inputs and ore production remain *** becomes even more challenging when training data(*** haulage information and weather conditions)are *** machine learning(ML)algorithms,deep neural network(DNN)is a superior method for processing nonlinear and massive data by adjusting the amount of neurons and hidden *** study adopted DNN to forecast ore production using truck haulage information and weather conditions at open-pit mines as training *** the prediction models were built,principal component analysis(PCA)was employed to reduce the data dimensionality and eliminate the multicollinearity among highly correlated input *** verify the superiority of DNN,three ANNs containing only one hidden layer and six traditional ML models were established as benchmark *** DNN model with multiple hidden layers performed better than the ANN models with a single hidden *** DNN model outperformed the extensively applied benchmark models in predicting ore *** can provide engineers and researchers with an accurate method to forecast ore production,which helps make sound budgetary decisions and mine planning at open-pit mines.

关键词： Oil sands production Open-pit mining Deep learning Principal component analysis(PCA) Artificial neural network Mining engineering

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Modulation mechanism of electron energy dissipation on superlubricity based on fluorinated 2D ZIFs

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Nano Research 2024年第4期17卷 3198-3209页

作者： Yuxin Li lei liu Kunpeng Wang Yuhong liu State Key Laboratory of Tribology in Advanced Equipment Tsinghua UniversityBeijing 100084China School of Mechatronic Engineering Shanghai UniversityShanghai 200444China

Electron energy dissipation is an important energy dissipation pathway that cannot be ignored in friction ***-dimensional zeolite imidazole frameworks(2D ZIFs)and fluorine doping strategies give 2D Zn-ZIF and 2D Co-ZIF unique electrical properties,making them ideal materials for studying electron energy dissipation *** this paper,based on the superlubricity modulation of 2D fluoridated ZIFs,the optimal tribological properties are obtained on the 2D F-Co-ZIF surface,with the friction coefficient as low as *** experiments,density functional theory(DFT)simulation,and fluorescence detection are used to explain the mechanism of fluorine doping regulation of tribological properties from the two stages,namely energy transfer and energy ***,the energy will transfer into the friction system through the generation of electron–hole pairs under an external excitation,and release by radiation and non-radiation energy dissipation *** reduces energy transfer by altering the electronic properties and band structures of ZIFs,and slows down the charge transfer by enhancing the shielding efficiency,thus slowing the non-radiative energy dissipation rate during the energy release *** insights not only help us better understand the role of fluorine doping in improving tribological properties,but also provide a new way to further explore the electron energy dissipation pathway during friction.

关键词： superlubricity electron energy dissipation modulation two-dimensional zeolite imidazole frameworks(2D ZIFs) fluorination

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Pre-Training Physics-Informed Neural Network with Mixed Sampling and Its Application in High-Dimensional Systems

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Journal of Systems Science & Complexity 2024年第2期37卷 494-510页

作者： liu Haiyi ZHANG Yabin WANG lei School of Mathematics and Physics North China Electric Power UniversityBeijing 102206China School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China

Recently,the physics-informed neural network shows remarkable ability in the context of solving the low-dimensional nonlinear partial differential ***,for some cases of high-dimensional systems,such technique may be time-consuming and *** this paper,the authors put forward a pre-training physics-informed neural network with mixed sampling(pPINN)to address these *** based on the initial and boundary conditions,the authors design the pre-training stage to filter out the set of the misfitting points,which is regarded as part of the training points in the next *** authors further take the parameters of the neural network in Stage 1 as the initialization in Stage *** advantage of the proposed approach is that it takes less time to transfer the valuable information from the first stage to the second one to improve the calculation accuracy,especially for the high-dimensional *** verify the performance of the pPINN algorithm,the authors first focus on the growing-and-decaying mode of line rogue wave in the Davey-Stewartson I *** case is the accelerated motion of lump in the inhomogeneous Kadomtsev-Petviashvili equation,which admits a more complex evolution than the uniform *** exact solution provides a perfect sample for data experiments,and can also be used as a reference frame to identify the performance of the *** experiments confirm that the pPINN algorithm can improve the prediction accuracy and training efficiency well,and reduce the training time to a large extent for simulating nonlinear waves of high-dimensional equations.

关键词： High-dimensional systems mixed sampling nonlinear wave pre-training physics-informed neural network

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Digital Twin Modeling Enabled Machine Tool Intelligence:A Review

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 29-54页

作者： lei Zhang Jianhua liu Cunbo Zhuang School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China Laboratory of Digital Manufacturing School of Mechanical EngineeringBeijing Institute of TechnologyBeijing 10081China

Machine tools,often referred to as the“mother machines”of the manufacturing industry,are crucial in developing smart manufacturing and are increasingly becoming more *** twin technology can promote machine tool intelligence and has attracted considerable research ***,there is a lack of clear and systematic analyses on how the digital twin technology enables machine tool ***,digital twin modeling was identified as an enabling technology for machine tool intelligence based on a comparative study of the characteristics of machine tool intelligence and digital *** review then delves into state-of-the-art digital twin modelingenabled machine tool intelligence,examining it from the aspects of data-based modeling and mechanism-data dual-driven ***,it highlights three bottleneck issues facing the *** these problems,the architecture of a digital twin machine tool(DTMT)is proposed,and three key technologies are expounded in detail:Data perception and fusion technology,mechanism-data-knowledge hybrid-driven digital twin modeling and virtual-real synchronization technology,and dynamic optimization and collaborative control technology for multilevel ***,future research directions for the DTMT are *** work can provide a foundation basis for the research and implementation of digital-twin modeling-enabled machine tool intelligence,making it significant for developing intelligent machine tools.

关键词： Machine tool Digital twin Smart manufacturing Synchronization

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An aqueous BiI_(3)-Zn battery with dual mechanisms of Zn^(2+)(de)intercalation and I^(-)/I_(2)redox

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Journal of Energy Chemistry 2024年第2期89卷 670-678,I0014页

作者： Qi Deng Fangzhong liu Xiongwei Wu Changzhu Li Weibin Zhou bei Long State Key Laboratory of Utilization of Woody Oil Resource Key Laboratory of National Forestry and Grassland Administration on Utilization Science for Southern Woody Oil ResourcesHunan Provincial Key Laboratory of Oils&Fats Molecular Structure and FunctionHunan Academy of ForestryChangsha 410004HunanChina School of Chemistry Xiangtan UniversityXiangtan 411105HunanChina School of Chemistry and Materials Science Hunan Agricultural UniversityChangsha 410128HunanChina

The development of aqueous battery with dual mechanisms is now arousing more and more *** dual mechanisms of Zn^(2+)(de)intercalation and I^(-)/I_(2)redox bring unexpected ***,differing from previous studies using Zn I_(2)additive,this work designs an aqueous Bi I_(3)-Zn battery with selfsupplied I^(-).Ex situ tests reveal the conversion of Bi I_(3)into Bi(discharge)and Bi OI(charge)at the 1st cycle and the dissolved I^(-)in *** active I^(-)species enhances the specific capacity and discharge medium voltage of electrode as well as improves the generation of Zn dendrite and ***,the porous hard carbon is introduced to enhance the electronic/ionic conductivity and adsorb iodine species,proven by experimental and theoretical ***,the well-designed Bi I_(3)-Zn battery delivers a high reversible capacity of 182 m A h g^(-1)at 0.2 A g^(-1),an excellent rate capability with 88 m A h g^(-1)at 10 A g^(-1),and an impressive cyclability with 63%capacity retention over 20 K cycles at 10 A g^(-1).An excellent electrochemical performance is obtained even at a high mass loading of 6 mg cm^(-2).Moreover,a flexible quasi-solid-state Bi I_(3)-Zn battery exhibits satisfactory battery *** work provides a new idea for designing high-performance aqueous battery with dual mechanisms.

关键词： Aqueous BiI_(3)-Zn battery Dual mechanisms I^(-)-induced uniform zinc deposition Ultralong cyclic life Flexible quasi-solid-state battery

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Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization

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Tsinghua Science and Technology 2024年第3期29卷 806-817页

作者： lei Zeng Qi liu Shigen Shen Xiaodong liu School of Computer Science Nanjing University of Information Science and TechnologyNanjing 210044China School of Software Nanjing University of Information Science and TechnologyNanjing 210044China School of Information Engineering Huzhou UniversityHuzhou 313000China School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

Edge computing nodes undertake an increasing number of tasks with the rise of business ***,how to efficiently allocate large-scale and dynamic workloads to edge computing resources has become a critical *** study proposes an edge task scheduling approach based on an improved Double Deep Q Network(DQN),which is adopted to separate the calculations of target Q values and the selection of the action in two networks.A new reward function is designed,and a control unit is added to the experience replay unit of the *** management of experience data are also modified to fully utilize its value and improve learning *** learning agents usually learn from an ignorant state,which is *** such,this study proposes a novel particle swarm optimization algorithm with an improved fitness function,which can generate optimal solutions for task *** optimized solutions are provided for the agent to pre-train network parameters to obtain a better cognition *** proposed algorithm is compared with six other methods in simulation *** show that the proposed algorithm outperforms other benchmark methods regarding makespan.

关键词： edge computing task scheduling reinforcement learning makespan Double Deep Q Network(DQN)

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CD147 Facilitates the Pathogenesis of Psoriasis through Glycolysis and H3K9me3 Modification in Keratinocytes

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Research 2024年第1期2023卷 509-523页

作者： Chao Chen Xiaoqing Yi Panpan liu Jie Li bei Yan Detian Zhang lei Zhu Pian Yu lei Li Jiaxiong Zhang Yehong Kuang Shuang Zhao Wu Zhu Cong Peng Xiang Chen Department of Dermatology Xiangya HospitalCentral South UniversityChangshaHunanChina National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology ChangshaHunanChina Furong Laboratory ChangshaHunanChina Hunan Key Laboratory of Skin Cancer and Psoriasis Hunan Engineering Research Center of Skin Health and DiseaseXiangya HospitalCentral South UniversityChangshaHunanChina National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangshaHunanChina

Psoriasis is a chronic inflammatory skin disease featuring rapid proliferation of epidermal *** elevated glycolysis flux has been reported in psoriasis,the molecular mechanisms underlying its pathogenesis remain *** investigated the role of the integral membrane protein CD147 in psoriasis pathogenesis,observing its high expression in psoriatic skin lesions of humans and imiquimod(IMQ)-induced mouse *** mouse models,genomic deletion of epidermal CD147 markedly attenuated IMQ-induced psoriatic *** found that CD147 interacted with glucose transporter 1(Glut1).Depletion of CD147 in the epidermis blocked glucose uptake and glycolysis in vitro and in *** CD147-knockout mice and keratinocytes,oxidative phosphorylation was increased in the epidermis,indicating CD147's pivotal role in glycolysis reprogramming during pathogenesis of *** non-targeted and targeted metabolic techniques,we found that epidermal deletion of CD147 significantly increased the production of carnitine and α-ketoglutaric acid(α-KG).

关键词： CD147 pathogenesis markedly

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