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Research on the IL-Bagging-DHKELM Short-Term Wind Power Prediction Algorithm Based on Error AP Clustering Analysis

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Computers, Materials & Continua 2024年第6期79卷 5017-5030页

作者： jing gao Mingxuan Ji Hongjiang Wang Zhongxiao Du School of Electric Power Shenyang Institute of EngineeringShenyang100083China

With the continuous advancement of China’s“peak carbon dioxide emissions and Carbon Neutrality”process,the proportion of wind power is *** the current research,aiming at the problem that the forecasting model is outdated due to the continuous updating of wind power data,a short-term wind power forecasting algorithm based on Incremental Learning-Bagging Deep Hybrid Kernel Extreme Learning Machine(IL-Bagging-DHKELM)error affinity propagation cluster analysis is *** algorithm effectively combines deep hybrid kernel extreme learning machine(DHKELM)with incremental learning(IL).Firstly,an initial wind power prediction model is trained using the Bagging-DHKELM ***,Euclidean morphological distance affinity propagation AP clustering algorithm is used to cluster and analyze the prediction error of wind power obtained from the initial training ***,the correlation between wind power prediction errors and Numerical Weather Prediction(NWP)data is introduced as incremental updates to the initial wind power prediction *** the incremental learning process,multiple error performance indicators are used to measure the overall model performance,thereby enabling incremental updates of wind power *** examples show the method proposed in this article reduces the root mean square error of the initial model by 1.9 percentage points,indicating that this method can be better adapted to the current scenario of the continuous increase in wind power penetration *** accuracy and precision of wind power generation prediction are effectively improved through the method.

关键词： Short-term wind power prediction deep hybrid kernel extreme learning machine incremental learning error clustering

Differential metabolite analysis of the pharmacodynamic differences between different ratios of Dahuang(Radix Et Rhizoma Rhei Palmati)-Taoren(Semen Persicae) herb pair

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Journal of Traditional Chinese Medicine 2024年第3期44卷 515-523页

作者： WANG Xiang HUANG Jianping WANG Yupeng WANG Qilong jing Yajiang ZHANG Gang PENG Liang gao jing WANG Hongyan YAN Yonggang Department of Key Laboratory of "Qin Pharmaceutical" Research and Development Shaanxi University of Traditional Chinese Medicine Department of Yupeng Shaanxi Haitian Pharmaceutical Co. Ltd. Department of Acupuncture and Tuina Shaanxi University of Traditional Chinese Medicine

OBJECTIVE: To explore the material basis of the difference of efficacy of Dahuang(Radix Et Rhizoma Rhei Palmati)-Taoren(Semen Persicae)(DT) drugs with different proportions. METHODS: Samples of different ratios of Dahuang(Radix et Rhizoma Rhei Palnati, DH) to Taoren(Semen Persicae, TR)(Group A 1∶1, B 2∶3, C 3∶2) were analyzed based on gas chromatography time-of-flight mass spectrometry untargeted metabolomics technique. RESULTS: A total of 240 primary metabolites were detected. Forty-one differential metabolites involved nine differential metabolic pathways, of which four were closely related to the efficacy of DT in the treatment of heat and blood stasis syndrome. These pathways included the biosynthesis of amino acid(phenylalanine tyrosine and tryptophan), flavonoids, unsaturated fatty acids, and the glycolysis/glycogenesis pathway. CONCLUSION: There are significant differences in the efficacy of different ratios of DT drugs, and their optimal ratio for the treatment of heat and blood stasis syndrome should be 1∶1.

关键词： Dahuang () Taoren () differential metabolites kernel drug pairs metabolic networks and pathways metabolomics

Cytochrome P45026A1 Contributes to the Maintenance of Neuropathic Pain

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Neuroscience Bulletin 2024年第3期40卷 293-309页

作者： De-Li Cao Ling-Jie Ma Bao-Chun Jiang Qiang Gu Yong-jing gao Institute of Pain Medicine and Special Environmental Medicine Co-innovation Center of NeuroregenerationNantong UniversityNantong226019China Nantong University Medical School Nantong226001China Department of Pain Management The Affiliated Hospital of Nantong UniversityNantong226001China

The cytochrome P450 proteins(CYP450s)have been implicated in catalyzing numerous important biological reactions and contribute to a variety of ***26A1,a member of the CYP450 family,carries out the oxidative metabolism of retinoic acid(RA),the active metabolite of vitamin *** we report that CYP26A1 was dramatically upregulated in the spinal cord after spinal nerve ligation(SNL).CYP26A1 was mainly expressed in spinal neurons and *** analysis displayed that the content of all-trans-RA(at-RA),the substrate of CYP26A1,was reduced in the spinal cord on day 7 after *** of CYP26A1 by siRNA or inhibition of CYP26A1-mediated at-RA catabolism by talarozole relieved the SNL-induced mechanical allodynia during the maintenance phase of neuropathic *** also reduced SNL-induced glial activation and proinflammatory cytokine production but increased anti-inflammatory cytokine(IL-10)*** RA receptors RARα,RXRβ,and RXRγwere expressed in spinal neurons and glial *** promoter of Il-10 has several binding sites for RA receptors,and at-RA directly increased Il-10 mRNA expression in ***,intrathecal IL-10 attenuated SNL-induced neuropathic pain and reduced the activation of astrocytes and ***,the inhibition of CYP26A1-mediated at-RA catabolism alleviates SNL-induced neuropathic pain by promoting the expression of IL-10 and suppressing glial ***26A1 may be a potential therapeutic target for the treatment of neuropathic pain.

关键词： CYP26A1 Microglia Astrocytes ERK P38 IL-10 Neuropathic pain

Coordinated Voltage Control of Distribution Network ConsideringMultiple Types of Electric Vehicles

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Energy Engineering 2024年第2期121卷 377-404页

作者： Liang Liu Guangda Xu Yuan Zhao Yi Lu Yu Li jing gao State Grid Jibei Electric Power Research Institute(North China Electric Power Research Institute Co. Ltd.)Beijing100045China

The couple between the power network and the transportation network(TN)is deepening gradually with the increasing penetration rate of electric vehicles(EV),which also poses a great challenge to the traditional voltage control *** this paper,we propose a coordinated voltage control strategy for the active distribution networks considering multiple types of *** the first stage,the action of on-load tap changer and capacitor banks,etc.,are determined by optimal power flow calculation,and the node electricity price is also determined based on dynamic time-of-use tariff *** the second stage,multiple operating scenarios of multiple types of EVs such as cabs,private cars and buses are considered,and the scheduling results of each EV are solved by building an optimization model based on constraints such as queuing theory,Floyd-Warshall algorithm and traffic flow *** the third stage,the output power of photovoltaic and energy storage systems is fine-tuned in the normal control *** charging power of EVs is also regulated in the emergency control mode to reduce the voltage deviation,and the amount of regulation is calculated based on the fair voltage control mode of ***,we test the modified IEEE 33-bus distribution system coupled with the 24-bus Beijing *** simulation results show that the proposed scheme can mitigate voltage violations well.

关键词： Electric vehicle transportation network voltage control queuing theory

Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment

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World Journal of Diabetes 2024年第4期15卷 735-757页

作者： jing gao Ying Zou Xiao-Yu Lv Li Chen Xin-Guo Hou Department of Endocrinology Qilu Hospital of Shandong UniversityCheeloo College of MedicineShandong UniversityJinan 250012Shandong ProvinceChina Institute of Endocrine and Metabolic Diseases Shandong UniversityJinan 250012Shandong ProvinceChina Key Laboratory of Endocrine and Metabolic Diseases Shandong Province Medicine&HealthJinan 250012Shandong ProvinceChina Department of Endocrinology Jinan Clinical Research Center for Endocrine and Metabolic DiseaseJinan 250012Shandong ProvinceChina

BACKGROUND The cognitive impairment in type 2 diabetes mellitus(T2DM)is a multifaceted and advancing state that requires further exploration to fully ***-roinflammation is considered to be one of the main mechanisms and the immune system has played a vital role in the progression of the *** To identify and validate the immune-related genes in the hippocampus associated with T2DM-related cognitive *** To identify differentially expressed genes(DEGs)between T2DM and controls,we used data from the Gene Expression Omnibus database *** identify T2DM module genes,we used Weighted Gene Co-Expression Network *** the genes were subject to Gene Set Enrichment ***-protein interaction network construction and machine learning were utilized to identify three hub *** cell infiltration analysis was *** three hub genes were validated in GSE152539 via receiver operating characteristic curve *** experiments including reverse transcription quantitative real-time PCR,Western blotting and immunohistochemistry were conducted both in vivo and in *** identify potential drugs associated with hub genes,we used the Comparative Toxicogenomics Database(CTD).RESULTS A total of 576 DEGs were identified using *** taking the intersection of DEGs,T2DM module genes,and immune-related genes,a total of 59 genes associated with the immune system were ***,machine learning was utilized to identify three hub genes(H2-T24,Rac3,and Tfrc).The hub genes were associated with a variety of immune *** three hub genes were validated in *** experiments were conducted at the mRNA and protein levels both in vivo and in vitro,consistent with the bioinformatics ***,11 potential drugs associated with RAC3 and TFRC were identified based on the *** Immune-related genes that differ in expression in the hippocampus are closely linked to microgli

关键词： Bioinformatics analysis Type 2 diabetes mellitus Cognitive impairment Hippocampus Immune Microglia

Tumor-targeted self-assembled micelles reducing PD-L1 expression combined with ICIs to enhance chemo-immunotherapy of TNBC

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Chinese Chemical Letters 2024年第2期35卷 305-310页

作者： Hongda Zhu Kai Ma Rui Ruan Chaobo Yang Aqin Yan jing Li Qi Yu Hongmei Sun Mingxing Liu Hongmei Zheng jing gao Xiaofang Guan Zhu Dai Yao Sun Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province) Key Laboratory of Fermentation Engineering (Ministry of Education)National “111” Center for Cellular Regulation and Molecular PharmaceuticsSchool of Food and Biological EngineeringHubei University of TechnologyWuhan 430068China Hubei Cancer Hospital Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430079China National Key Laboratory of Green Pesticide College of ChemistryCentral China Normal UniversityWuhan 430079China Key Laboratory of Medical Optics Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of SciencesSuzhou 215163China Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science Ministry of EducationQingdao University of Science and TechnologyQingdao 266000China

Immune checkpoint inhibitors(ICIs)therapy targeting programmed cell death ligand 1(PD-L1)and programmed death protein 1(PD-1)had exhibited significant clinical benefits for cancer treatment such as triple negative breast cancer(TNBC).However,the relatively low anti-tumor immune response rate and ICIs drug resistance highlight the necessity of developing ICIs combination therapy strategies to improve the anti-tumor effect of ***,the immunomodulator epigallocatechin gallate palmitate(PEGCG)and the immunoadjuvant metformin(MET)self-assembled into tumor-targeted micelles via hydrogen bond and electrostatic interaction,which encapsulated the therapeutic agents doxorubicin(DOX)-loaded PEGCG-MET micelles(PMD)and combined with ICIs(anti-PD-1 antibody)as therapeutic strategy to reduce the endogenous expression of PD-L1 and improve the tumor immunosuppressive *** results presented that PMD integrated chemotherapy and immunotherapy to enhance antitumor efficacy in vitro and in vivo,compared with DOX or anti-PD-1 antibody for the therapy of *** micelles might be a potential candidate,which could remedy the shortcomings of antibody-based ICIs and provide synergistic effect to enhance the antitumor effects of ICIs in tumor therapy.

关键词： Immunotherapy Tumor-targeted Self-assembled micelles Metformin Reducing PD-L1 expression TNBC

Carbon nanotube-supported mixed-valence Mn_(3)O_(4) electrodes for high-performance lithium-oxygen batteries

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ChemPhysMater 2024年第1期3卷 94-102页

作者： Yuting Zhu jing gao Zhongxiao Wang Rui Sun Longwei Yin Chengxiang Wang Zhiwei Zhang Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials Ministry of EducationSchool of Materials Science and EngineeringShandong UniversityJinan 250061China

Lithium-oxygen batteries(LOBs)have extensive applications because of their ultra-high energy ***,the practical application of LOBs is limited by several factors,such as a high overpotential,poor cycle stability,and limited rate *** this paper,we describe the successful uniform loading of Mn_(3)O_(4) nanoparticles onto multi-walled carbon nanotubes(Mn_(3)O_(4)@CNT).CNTs form a conductive network and expose numerous catalytically active sites,and the one-dimensional porous structure provides a convenient channel for the transmission of Li+and O2 in *** electronic conductivity and electrocatalytic activity of Mn_(3)O_(4)@CNT are significantly better than those of MnO@CNT because of the inherent driving force facilitating charge transfer between different valence metal ***,the Mn_(3)O_(4)@CNT cathode obtains a low overpotential(0.76 V at a limited capacity of 1000 mAh g^(-1)),high initial discharge capacity(16895 mAh g^(-1) at 200 mA g^(-1)),and long cycle life(97 cycles at 200 mA g^(-1)).This study provides evidence that transition metal oxides with mixed-valence states are suitable for application as efficient cathodes for LOBs.

关键词： Mixed-valence states Carbon nanotube Electrode reaction kinetics Lithium–oxygen batteries

Application of sparse S transform network with knowledge distillation in seismic attenuation delineation

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Petroleum Science 2024年第4期21卷 2345-2355页

作者： Nai-Hao Liu Yu-Xin Zhang Yang Yang Rong-Chang Liu jing-Huai gao Nan Zhang School of Information and Communications Engineering Xi'an Jiaotong University School of Software Engineering Xi'an Jiaotong University PetroChina Research Institute of Petroleum Exploration and Development (RIPED) CNPC Research Institute of Exploration and Development Yumen Oilfield Company CNPC

Time-frequency analysis is a successfully used tool for analyzing the local features of seismic ***, it suffers from several inevitable limitations, such as the restricted time-frequency resolution,the difficulty in selecting parameters, and the low computational efficiency. Inspired by deep learning,we suggest a deep learning-based workflow for seismic time-frequency analysis. The sparse S transform network(SSTNet) is first built to map the relationship between synthetic traces and sparse S transform spectra, which can be easily pre-trained by using synthetic traces and training labels. Next, we introduce knowledge distillation(KD) based transfer learning to re-train SSTNet by using a field data set without training labels, which is named the sparse S transform network with knowledge distillation(KD-SSTNet).In this way, we can effectively calculate the sparse time-frequency spectra of field data and avoid the use of field training labels. To test the availability of the suggested KD-SSTNet, we apply it to field data to estimate seismic attenuation for reservoir characterization and make detailed comparisons with the traditional time-frequency analysis methods.

关键词： S transform Deep learning Knowledge distillation Transfer learning Seismic attenuation delineation

Three-Dimensional Multi-Phase Microscopic Simulation of Service Life of Recycled Large Aggregate Self-Compacting Concrete

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Journal of Materials Science and Chemical Engineering 2024年第4期12卷 126-135页

作者： jing Li Lina gao Libo Liu Liao Zhang Jianhua Zheng jing gao College of Pipeline and Civil Engineering China University of Petroleum (East China) Qingdao China China Huanqiu Contracting & Engineering Co. Ltd. Beijing China School of Civil and Transportation Engineering Beijing University of Civil Engineering and Architecture Beijing China The Fourth Construction Co. Ltd. of China Construction Eighth Engineering Division Qingdao China

Recycled large aggregate self-compacting concrete (RLA-SCC) within multiple weak areas. These weak areas have poor resistance to chloride ion erosion, which affects the service life of RLA-SCC in the marine environment. A three-dimensional multi-phase mesoscopic numerical model of RLA-SCC was established to simulate the chloride ions transportation in concrete. Experiments of RLA-SCC immersing in chloride solution were carried out to verify the simulation results. The effects of recycled large aggregate (RLA) content and RLA particle size on the service life of concrete were explored. The results indicate that the mesoscopic numerical simulation results are in good agreement with the experimental results. At the same depth, the closer to the surface of the RLA, the greater the chloride ion concentration. The service life of RLA-SCC in marine environment decreases with the increase of RLA content. Compared with the service life of 20% content, the service life of 25% and 30% content decreased by 20% and 42% respectively. Increasing the particle size of RLA can effectively improve the service life of RLA-SCC in chloride environment. Compared with the service life of 50 mm particle size, the service life of 70 mm and 90 mm increased by 61% and 163%, respectively. .

关键词： Recycled Large Aggregate Self-Compacting Concrete Mesoscopic Mode Chloride Ion Diffusion Numerical Analysis