检索结果-南通市图书馆

Cyber-physical Integrated Planning of Distribution Networks Considering Spatial-temporal Flexible Resources

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Protection and Control of Modern Power Systems 2024年第3期9卷 142-156页

作者： Shutan Wu qi Wang qichao Chen Changping Yu yi Tang Southeast University NanjingChina the School of Electrical Engineering Southeast UniversityNanjing 210096China the State Grid Economic and Technological Research Institute CO .LTD.BeijingChina System Automation Research Institute Southeast University

The rapid development of cyber technology and the increase of flexible resources have transformed the distribution network into a cyber-physical distribution system,while the accompanying multidimensional uncertainties have brought new planning *** this paper,an innovative approach is proposed to effectively leverage distributed resources while considering the impact of cyber-physical coupling in distribution network planning.A cyber-physical integrated planning model of the distribution network is proposed,considering the effects of spatial-temporal flexible resources and multi-network ***,a three-layer optimization model is established and analyzed by the simulate anneal-particle swarm optimization *** upper layer achieves the optimization of the location and configuration of energy storage systems and smart terminal *** middle layer optimizes the data load migration strategy using spatial-temporal flexible resources to solve the voltage exceeding problem caused by high penetration of distributed power access,while the lower layer optimizes the cyber side communication topology,improving the convergence speed and control performance of the distribution ***,the optimization model is analyzed iteratively with objective functions including total planning cost,operation excess loss and distributed control ***,the effectiveness and economy of the proposed planning scheme is verified and compared to traditional methods.

关键词： Cyber-physical distribution system distributed resources integrated planning model spatialtemporal migration

Exploring deep learning for landslide mapping:A comprehensive review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Geology 2024年第2期7卷 330-350页

作者： Zhi-qiang Yang Wen-wen qi Chong Xu Xiao-yi Shao College of Surveying and Geo-Informatics Tongji UniversityShanghai 200092China National Institute of Natural Hazards Ministry of Emergency ManagementBeijing 100085China Key Laboratory of Compound and Chained Natural Hazards Dynamics Ministry of Emergency Management of ChinaBeijing 100085China

A detailed and accurate inventory map of landslides is crucial for quantitative hazard assessment and land *** methods relying on change detection and object-oriented approaches have been criticized for their dependence on expert knowledge and subjective *** advancements in highresolution satellite imagery,coupled with the rapid development of artificial intelligence,particularly datadriven deep learning algorithms(DL)such as convolutional neural networks(CNN),have provided rich feature indicators for landslide mapping,overcoming previous *** this review paper,77representative DL-based landslide detection methods applied in various environments over the past seven years were *** study analyzed the structures of different DL networks,discussed five main application scenarios,and assessed both the advancements and limitations of DL in geological hazard *** results indicated that the increasing number of articles per year reflects growing interest in landslide mapping by artificial intelligence,with U-Net-based structures gaining prominence due to their flexibility in feature extraction and ***,we explored the hindrances of DL in landslide hazard research based on the above research *** such as black-box operations and sample dependence persist,warranting further theoretical research and future application of DL in landslide detection.

关键词： Landslide Mapping Quantitative hazard assessment Deep learning Artificial intelligence Neural network Big data Geological hazard survery engineering

Interpretation and characterization of rate of penetration intelligent prediction model

在线全文

学校读者我要写书评

暂无评论

Petroleum Science 2024年第1期21卷 582-596页

作者： Zhi-Jun Pei Xian-Zhi Song Hai-Tao Wang yi-qi Shi Shou-Ceng Tian Gen-Sheng Li College of Petroleum Engineering China University of Petroleum(Beijing)Beijing102249China State Key Laboratory of Petroleum Resources and Prospecting Beijing102249China Kunlun Digital Technology Co. Ltd.Beijing102206China

Accurate prediction of the rate of penetration(ROP)is significant for drilling *** the intelligent ROP prediction model based on fully connected neural networks(FNN)outperforms traditional ROP equations and machine learning algorithms,its lack of interpretability undermines its *** study proposes a novel interpretation and characterization method for the FNN ROP prediction model using the Rectified Linear Unit(ReLU)activation *** leveraging the derivative of the ReLU function,the FNN function calculation process is transformed into vector *** FNN model is linearly characterized through further simplification,enabling its interpretation and *** proposed method is applied in ROP prediction scenarios using drilling data from three vertical wells in the Tarim *** results demonstrate that the FNN ROP prediction model with ReLU as the activation function performs exceptionally *** relative activation frequency curve of hidden layer neurons aids in analyzing the overfitting of the FNN ROP model and determining drilling data *** the well sections with similar drilling data,averaging the weight parameters enables linear characterization of the FNN ROP prediction model,leading to the establishment of a corresponding linear representation ***,the quantitative analysis of each feature's influence on ROP facilitates the proposal of drilling parameter optimization schemes for the current well *** established linear characterization equation exhibits high precision,strong stability,and adaptability through the application and validation across multiple well sections.

关键词： Fully connected neural network Explainable artificial intelligence Rate of penetration ReLU active function Deep learning Machine learning

Renewable conversion of coal gangue to 13-X molecular sieve for Cd^(2+)-containing wastewater adsorption performance

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2024年第2期43卷 702-710页

作者： Le Kang Si-Fan Liu Da-Wei yi Kai Wang Hui-Ling Du Hao-qi Huang Peng Chen College of Materials Science and Engineering Xi’an University of Science and TechnologyXi’an710054China School of Electrical Engineering Weihai Innovation Research InstituteQingdao UniversityQingdao266000China School of Metallurgy Northeastern UniversityShenyang110819China School of Materials and Chemical Engineering Tongren UniversityTongren554300China

Using coal gangue(CG)as raw material,a new type of all solid-waste-based 13-X molecular sieve material was controllably prepared by alkali fusion-hydrothermal *** synthetic molecular sieve was used as a solid adsorbent to treat Cd^(2+)-containing wastewater,and its adsorption behavior on Cd^(2+)in aqueous solution was studied and *** microstructure and morphology of the molecular sieve were investigated by X-ray diffraction(XRD),field emission scanning electron microscopy(FESEM)and specific surface area *** results show that the synthesized 13-X molecular sieve has higher Brunauer–Emmett–Teller(BET)specific surface area with higher crystallinity and higher adsorption capacity for the heavy metal Cd^(2+).The adsorption process of Cd^(2+)by molecular sieve conforms to the Langmuir isotherm adsorption equation and Lagergren pseudo-second-order rate *** with thermodynamic calculation,it can be concluded that the adsorption process is physically monolayer,spontaneous and *** this study,a low-cost and naturally available synthesis method of 13-X molecular sieve is *** with its adsorption mechanism for Cd^(2+),it provides a feasible and general method for removing heavy metal ions from coal gangue and also provides a new way for the utilization of coal gangue with high added value.

关键词： Coal gangue Hydrothermal synthesis 13-X molecular sieve Adsorption Wastewater containing Cd^(2+)

Neuroprotective effects of chaperone-mediated autophagy in neurodegenerative diseases

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2024年第6期19卷 1291-1298页

作者： qi Jia Jin Li Xiaofeng Guo yi Li You Wu Yuliang Peng Zongping Fang Xijing Zhang Department of Anesthesiology and Perioperative Medicine and Department of Intensive Care Unit Xijing Hospital The Fourth Military Medical University Department of Critical Care Medicine Translational Research Institute of Brain and Brain-Like Intelligence Shanghai Fourth People's Hospital School of Medicine Tongji University

Chaperone-mediated autophagy is one of three types of autophagy and is characterized by the selective degradation of proteins. Chaperone-mediated autophagy contributes to energy balance and helps maintain cellular homeostasis, while providing nutrients and support for cell survival. Chaperone-mediated autophagy activity can be detected in almost all cells, including neurons. Owing to the extreme sensitivity of neurons to their environmental changes, maintaining neuronal homeostasis is critical for neuronal growth and survival. Chaperone-mediated autophagy dysfunction is closely related to central nervous system diseases. It has been shown that neuronal damage and cell death are accompanied by chaperone-mediated autophagy dysfunction. Under certain conditions, regulation of chaperone-mediated autophagy activity attenuates neurotoxicity. In this paper, we review the changes in chaperone-mediated autophagy in neurodegenerative diseases, brain injury, glioma, and autoimmune diseases. We also summarize the most recent research progress on chaperone-mediated autophagy regulation and discuss the potential of chaperone-mediated autophagy as a therapeutic target for central nervous system diseases.

关键词： chaperone-mediated autophagy neurodegenerative disease neuronal homeostasis neuroprotection

Effects of two silicone resin coatings on performance of FeSiAl magnetic powder cores

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Iron and Steel Research(International) 2024年第5期31卷 1279-1288页

作者： Jia-qi Liu Zheng-qu Zhu Pu Wang yi-fan Li Jing Pang Jia-quan Zhang School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China qingdao Yunlu Advanced Materials Technology Co. Ltd.Qingdao266232ShandongChina

Two silicon resins with excellent thermal stability,JH1123 and JH7102,are used as the insulated agents and binders for the gas-atomized FeSiAl powder,and corresponding magnetic powder cores(MPCs)are *** insulation capability and application prospects of the two silicon resins are evaluated by comparing the magnetic properties of the coated powder and *** scanning electron microscopy,energy dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy results show that uniform insulation layers are both formed on the powder ***1123 has stronger binding ability,and the JH1123-coated powder exhibits severe agglomeration,with d50(average particle size)approximately twice that of the JH7102-coated *** as-prepared MPCs exhibit outstanding soft magnetic ***,the permeability of FeSiAl@JH1123 is up to 74.0,which is 35.5%higher than that of FeSiAl@JH7102 because JH1123 can further improve the density of the *** for FeSiAl@JH7102,it has better direct current bias and lower core loss of 716.9 mW cm^(−3) at 20 mT and 1000 kHz due to its lower coercivity and greater anti-magnetic saturation ability.A comprehensive comparison shows that FeSiAl@JH1123 is suitable for medium and high frequency applications,while FeSiAl@JH7102 is more suitable for high frequency *** indicates that the use of JH1123 and JH7102 silicon resins for binding and insulated coating not only simplifies the preparation process of MPCs,but also enables the controlled production of MPCs for different applications.

关键词： FeSiAl Insulated coating Magnetic powder core Permeability Core loss

Differences in vascular endothelial function and serum proteome between obese people with phlegm-dampness constitution and balanced constitution

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Traditional Chinese Medicine 2024年第1期44卷 188-196页

作者： ZHU Linghui SUN Ziwei GUAN Yuanyuan LIU Meiyi ZheNG yi YU Ruoxi WANG qi LI Lingru School of Chinese Medicine Beijing University of Chinese MedicineBeijing 102488China National Institute of TCM Constitution and Preventive Medicine Beijing University of Chinese MedicineBeijing 100029China

OBJECTIVE:To evaluate the extent of vascular endothelial dysfunction and preliminary identify serum protein biomarkers associated with obese individuals at risk for cardiovascular disease(CVD).METHODS:Fifteen obese volunteers with the phlegmdampness constitution or balanced constitution were recruited for this study *** clinical baseline data was collected,and the vascular endothelial function was evaluated using the EndoPAT?.Blood samples were collected for the serum proteome *** differences in the serum protein expression levels between the two groups were detected and the protein interaction network analysis,correlation analysis,receiver operating characteristic(ROC)curve analysis,and random forest model investigation were ***:There were no statistical differences found in the baseline *** vascular endothelial function,the reactive hyperemia index(RHI)of the phlegm-dampness constitution obese group was significantly lower than that of the balanced constitution obese group(1.46±0.30 vs 2.82±0.78,Phelial *** are 66 differentially expressed serum proteins between the two *** A2(Apo A2),angiotensin-converting enzyme 2(ACE-2),interleukin-33(IL-33),and forkhead box P3(FoxP3)showed significant differences and area under curve values of their ROC curves were greater than 0.7 and correlated significantly with ***:Vascular endothelial dysfunction was present in the phlegm-dampness constitution obese ***,alterations in the expression levels of key serum proteins,including Apo A2,ACE-2,IL-33,and Fox P3 could serve as potential biomarkers in the obese population at risk of CVD.

关键词： obesity phlegm-dampness constitution vascular endothelial function proteome reactive hyperemia index

Jianpi Decoction Combined with Medroxyprogesterone Acetate Alleviates Cancer Cachexia and Prevents Muscle Atrophy by Directly Inhibiting E3 Ubiquitin Ligase

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Integrative Medicine 2024年第6期30卷 499-506页

作者： LI qi KONG Zhao-di WANG Huan GU Hong-hui CheN Zhong Li Shi-guang CheN yi-qi CAI Yu YANG Zhen-jiang Department of Oncology and hematology Shenzhen Traditional Chinese Medicine HospitalShenzhenGuangdong Province518033China College of Pharmacy/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education(MOE)of China Jinan UniversityGuangzhou510632China Guangdong Key Lab of Traditional Chinese Medicine Information Technology Jinan UniversityGuangzhou510632China

ObjectiveTo provide comprehensive evidence for the anti-cancer cachexia effect of Jianpi Decoction(JP)and to explore its mechanism of anti-cancer *** mouse model of colon cancer(CT26)-induced cancer cachexia(CC)was used to investigate the anti-CC effect of JP combined with medroxyprogesterone acetate(MPA).Thirty-six mice were equally divided into 6 groups:normal control,CC,MPA(100 mg·kg^(−1)·d^(−1)),MPA+low-dose(20 mg·kg^(−1)·d^(−1))JP(L-JP),MPA+medium-dose(30 mg·kg^(−1)·d^(−1))JP(M-JP),and MPA+high-dose(40 mg·kg^(−1)·d^(−1))JP(H-JP)*** successful modeling,the mice were administered by gavage for 11 *** body weight and tumor volume were measured and recorded every 2 d starting on the 8th day after *** liver,heart,spleen,lung,kidney,tumor and gastrocnemius muscle of mice were collected and *** pathological changes of the tumor was observed,and the cross-sectional area of the gastrocnemius muscle was *** protein expressions of STAT3 and E3 ubiquitinase in the gastrocnemius muscle were measured by Western *** addition,an in vitro C2C12 myotube formation model was established to investigate the role of JP in hindering dexamethasone-induced muscle *** vitro experiments were divided into control,model,and JP serum *** 2-d administration,microscopic photographs were taken and myotube diameters were *** blot was performed to measure the protein expressions of STAT3 and E3 *** combined with MPA restored tumor-induced weight loss(Phe expression of atrophy-related proteins MuRF1 and MAFbx in tumor-induced muscle atrophy in vivo(Phe expression of atrophy-related proteins MuRF1 and MAFbx and p-STAT3 phosphorylation(P<0.05 or P<0.01 *** group)in C2C12 myotubes treated with dexamethasone in *** of JP combined with MPA restores t

关键词： cancer cachexia muscle atrophy Jianpi Decoction Chinese medicine E3 ubiquitin ligases

Unveiling the secrets of gastrointestinal mucous adenocarcinoma survival after surgery with artificial intelligence:A population-based study

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastrointestinal Oncology 2024年第6期16卷 2404-2418页

作者： Jie Song Xiang-Xiu Yan Fang-Liang Zhang Yong-yi Lei Zi-yin Ke Fang Li Kai Zhang Yu-qi he Wei Li Chao Li Yuan-Ming Pan Department of Gastroenterology Dongying People’s HospitalDongying Hospital of Shandong Provincial Hospital GroupDongying 257000Shandong ProvinceChina Gastrointestinal Surgery Department Suining Central HospitalSuining 629000Sichuan ProvinceChina Obstetrical Department Suining Central HospitalSuining 629000Sichuan ProvinceChina School of Medicine Shenzhen Campus of Sun Yat-sen UniversityShenzhen 518107Guangdong ProvinceChina Department of Pathology Aerospace Center HospitalPeking University Aerospace School of Clinical MedicineBeijing 100049China General Department Beijing Chest HospitalCapital Medical University/Beijing Tuberculosis and Thoracic Tumor Research InstituteBeijing 101149China Department of Gastroenterology Beijing Chest HospitalCapital Medical University/Beijing Tuberculosis and Thoracic Tumor Research InstituteBeijing 101149China Department of Thoracic Surgery Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610072Sichuan ProvinceChina Department of Gastroenterology Aerospace Center HospitalPeking University Aerospace School of Clinical MedicineBeijing 100049China Cancer Research Center Beijing Chest HospitalCapital Medical University/Beijing Tuberculosis and Thoracic Tumor Research InstituteBeijing 101149China

BACKGROUND Research on gastrointestinal mucosal adenocarcinoma(GMA)is limited and controversial,and there is no reference tool for predicting postoperative *** To investigate the prognosis of GMA and develop predictive *** From the Surveillance,Epidemiology,and End Results database,we collected clinical information on patients with *** random sampling,the patients were divided into the discovery(70%of the total,for model training),validation(20%,for model evaluation),and completely blind test cohorts(10%,for further model evaluation).The main assessment metric was the area under the receiver operating characteristic curve(AUC).All collected clinical features were used for Cox proportional hazard regression analysis to determine factors influencing GMA’s *** This model had an AUC of 0.7433[95% confidence intervals(95%CI):0.7424-0.7442]in the discovery cohort,0.7244(GMA:0.7234-0.7254)in the validation cohort,and 0.7388(95%CI:0.7378-0.7398)in the test *** packaged it into Windows software for doctors’use and uploaded *** gastric adenocarcinoma had the worst prognosis,and these were protective factors of GMA:Regional nodes examined[hazard ratio(HR):0.98,95%CI:0.97-0.98,Phemotherapy(HR:0.62,95%CI:0.58-0.66,Phe deep learning-based tool developed can accurately predict the overall survival of patients with GMA *** surgery,chemotherapy,and adequate lymph node dissection during surgery can improve patient outcomes.

关键词： Deep learning Gastrointestinal mucous adenocarcinoma Overall survival Surgery Clinical tool