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Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort

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International Journal of Medical Informatics 2025年 200卷 105915-105915页

作者： Qiu, Fanji Zhang, Rongrong Schwenkreis, Friedemann Legerlotz, Kirsten Movement Biomechanics Institute of Sport Sciences Humboldt-Universität zu Berlin Unter den Linden 6 Berlin10099 Germany School of Control and Computer Engineering North China Electric Power University Beijing102206 China Department of Business Information Systems Baden-Wuerttemberg Cooperative State University Stuttgart Paulinenstr. 50 70178 Stuttgart Germany Department of Movement and Training Sciences Institute of Sport Sciences University of Wuppertal Gauss street 20 42119 Wuppertal Germany

Background: In light of global population aging and the increasing prevalence of Rheumatoid Arthritis (RA) with age, strategies are needed to address this public health challenge. Machine learning (ML) may play a vital role in early identification of RA, allowing an early start of treatment, thereby reducing costs. This study aims first to identify potential variables related to RA, and second to explore and evaluate the potential of ML to identify RA patients in people over 50 years. Method: We developed ML predictive models (lightGBM, logistic regression, k nearest neighbor, naive Bayes, random forrest, and XGBoost) using patient-reported outcomes collected from the SHARE database (7th and 9th wave). Results: Difficulties in daily life such as stooping and pulling are risk factors for RA. Lifestyle activities participation is negatively associated with RA. ML models performed differently with the lightGBM model achieving the highest AUC (0.748, 95 % CI: 0.739–0.758), and logistic regression and lightGBM showing the highest accuracy at 0.902. The sensitivity of naive Bayes was highest at 0.442. Significant differences were observed in the Hosmer-Lemeshow test (P © 2025 The Author(s)

关键词： Prediction models

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Design and engineering implementation of non-supplementary fired compressed air energy storage system: TICC-500

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Science China(Technological Sciences) 2015年第4期58卷 600-611页

作者： MEI Sheng Wei WANG Jun Jie TIAN Fang CHEN Lai Jun XUE Xiao Dai LU Qiang ZHOU Yuan ZHOU Xiao Xin State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua University Key Laboratory of Cryogenics Technical Institute of Physics and Chemistry Chinese Academy of Sciences Department of Power Systems China Electric Power Research Institute

The integration and accommodation of the wind and solar energy pose great challenges on today’s power system operation due to the intermittent nature and volatility of the wind and solar *** efficient large-scale electrical energy storage is one of the most effective and economical solutions to those *** the comprehensive review of the existing storage technologies,this paper proposes an overall design scheme for the Non-supplementary Fired Compressed Air Energy Storage(NFCAES)system,including system design,modeling and efficiency assessment,as well as protection and ***,the design principles of the multistage regenerative,*** recovery system which is used to fully recycle and utilize the waste heat from compression are provided,so as the overall system efficiency evaluation *** paper theoretically ascertains the storage decoupling rules in the potential and internal energy of molecular compressed air and reveals the conversion mechanism of gas,heat,power,electricity and other forms of *** this basis,a 500-k W physical simulation system of CAES system(TICC-500,Tsinghua-IPCCAS-CEPRI-CAES)is built,which passed a system-wide 420-k W load power generation test with less pollution and zero carbon ***,the multi-form energy conversion of multi-stage regenerative CAES and storage efficiency is verified,especially its incomparable superiority in solving the uncertainty problem in wind and solar power ***,the propaganda and application scenario of the CAES system in China is introduced.

关键词： index terms-compressed air energy storage non-supplementary fired regenerative/heat recovery multi-stage expansion TICC-500

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Electric Stock Digital Twin in a Subway Traction power System

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Russian Electrical engineering 2019年第9期90卷 647-652页

作者： Shevlyugin, M.V. Korolev, A.A. Golitsyna, A.E. Pletnev, D.S. Department of Transport Power Engineering Institute of Transport Engineering and Control SystemsRussian University of Transport Moscow127055 Russia

Abstract: An approach to designing subway traction power supply facilities with an 825-V traction power system is considered in a general digital model. The continuously increasing passenger traffic in metropolitan cities makes it necessary to build new subway lines and upgrade existing ones, taking into account the compliance with all the standards of ensuring uninterrupted power supply at minimal electric stock (ES) train-to-train spans. The ES is also being upgraded, which includes the commissioning of new-type Moscow cars. To maintain the rates of commissioning new subway lines, the quality of design must be improved and the design process must be relocated to the digital environment. An example digital model (twin) of subway traction power system is exposed, as well as its application to estimating the dynamic behavior of ES. © 2019, Allerton Press, Inc.

关键词： Regulatory compliance

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A review of concentrated photovoltaic-thermal(CPVT) hybrid solar systems with waste heat recovery(WHR)

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Science Bulletin 2017年第20期62卷 1388-1426页

作者： Xing Ju Chao Xu Zhirong Liao Xiaoze Du Gaosheng Wei Zhifeng Wang Yongping Yang Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education School of Energy Power and Mechanical Engineering North China Electric Power University Key Laboratory of Solar Thermal Energy and Photovoltaic Systems Institute of Electrical Engineering Chinese Academy of Sciences

In conventional photovoltaic(PV) systems, a large portion of solar energy is dissipated as waste heat since the generating efficiency is usually less than 30%. As the dissipated heat can be recovered for various applications, the wasted heat recovery concentrator PV/thermal(WHR CPVT) hybrid systems have been developed. They can provide both electricity and usable heat by combining thermal systems with concentrator PV(CPV) module, which dramatically improves the overall conversion efficiency of solar *** paper systematically and comprehensively reviews the research and development of WHR CPVT systems. WHR CPVT systems with innovative design configurations, different theoretical evaluation models and experimental test processes for several implementations are presented in an integrated manner. We aim to provide a global point of view on the research trends, market potential, technical obstacles, and the future work which is required in the development of WHR CPVT technology. Possibly, it will offer a generic guide to the investigators who are interested in the study of WHR CPVT systems.

关键词： Hybrid solar system Waste heat recovery Photovoltaic/thermal Concentration Concentrator photovoltaic/thermal

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Accelerating exploitation and integration of global renewable energy

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Innovation 2025年

作者： Wang, Jianxiao Chen, Xinjiang Zhuang, Minghao Li, Yan Ruan, Ziwen Wang, Yuhan Zhang, Ning Song, Jie He, Kebin Lu, Xi National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing100871 China Department of Industrial Engineering and Management College of Engineering Peking University Beijing100871 China Peking University Ordos Research Institute of Energy Ordos017000 China State Key Laboratory of Nutrient Use and Management College of Resources and Environmental Sciences China Agricultural University Beijing100193 China College of Environmental Science and Engineering Tongji University Shanghai200092 China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing100084 China State Key Lab of Power Systems Department of Electrical Engineering Tsinghua University Beijing100084 China Institute for Carbon Neutrality Tsinghua University Beijing100084 China

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Recent progresses in the suppression method based on the growth mechanism of lithium dendrite

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Journal of Energy Chemistry 2018年第2期27卷 513-527页

作者： Xiaolong Xu Suijun Wang Hao Wang Chen Hu Yi Jin Jingbing Liu Hui Yan The College of Materials Science and Engineering Beijing University of Technology State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute

Lithium secondary batteries（LSBs） with high energy densities need to be further developed for future applications in portable electronic devices, electric vehicles, hybrid electric vehicles and smart grids. Lithium metal is the most promising electrode for next-generation rechargeable batteries. However, the formation of lithium dendrite on the anode surface leads to serious safety concerns and low coulombic ***, researchers have made great efforts and significant progresses to solve these problems. Here we review the growth mechanism and suppression method of lithium dendrite for LSBs’ anode protection. We also establish the relationship between the growth mechanism and suppression method. The research direction for building better LSBs is given by comparing the advantages and disadvantages of these methods based on the growth mechanism.

关键词： Lithium dendrite Growth mechanism Suppression method Lithium secondary battery

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Dynamic characteristics of the planetary gear train excited by time-varying meshing stiffness in the wind turbine

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International Journal of Minerals,Metallurgy and Materials 2018年第9期25卷 1104-1112页

作者： Rui-ming Wang Zhi-ying Gao Wen-rui Wang Yang Xue De-yi Fu State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute School of Mechanical Engineering University of Science and Technology Beijing

Wind power has attracted increasing attention as a renewable and clean energy. Gear fault frequently occurs under extreme environment and complex loads. The time-varying meshing stiffness is one of the main excitations. This study proposes a 5 degree-of-freedom torsional vibration model for the planetary gear system. The influence of some parameters(e.g., contact ratio and phase difference) is discussed under different conditions of a single teeth pair and double pairs of teeth. The impact load caused by the teeth face fault, ramped load induced by the complex wind conditions, and the harmonic excitation are investigated. The analysis of the time-varying meshing stiffness and the dynamic meshing force shows that the dynamic design under different loads can be made to avoid resonance, can provide the basis for the gear fault location of a wind turbine, and distinguish the fault characteristics from the vibration signals.

关键词： wind turbine planetary gear time-varying meshing stiffness dynamic characteristics

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Regional wind power forecasting model with NWP grid dataoptimized

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Frontiers in Energy 2017年第2期11卷 175-183页

作者： Zhao WANG Weisheng WANG Bo WANG State Key Laboratory of Operation and Control of Renewable Energy &Storage Systems China Electric Power Research Institute Beijing100192 China Department of Electrical Engineering TsinghuaUniversity Beijing 100084 China State Key Laboratory of Operation and Control of Renewable Energy &Storage Systems China Electric Power Research Institute Beijing100192 China

Unlike the traditional fossil energy, wind, as the clean renewable energy, can reduce the emission of the greenhouse gas. To take full advantage of the environmental benefits of wind energy, wind power forecasting has to be studied to overcome the troubles brought by the variable nature of wind. power forecasting for regional wind farm groups is the problem that many power system operators care about. The high-dimensional feature sets with redundant information are frequently encountered when dealing with this problem. In this paper, two kinds of feature set construction methods are proposed which can achieve the proper feature set either by selecting the subsets or by transforming the original variables with specific combinations. The former method selects the subset according to the criterion of minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principal component analysis (PCA). A locally weighted learning method is also proposed to utilize the processed feature set to produce the power forecast results. The proposed model is simple and easy to use with parameters optimized automatically. Finally, a case study of 28 wind farms in East China is provided to verify the effectiveness of the proposed method.

关键词： regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component analysis (PCA) locally weighted learning model

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Hohmann transfer via constrained optimization

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Frontiers of Information Technology & Electronic engineering 2018年第11期19卷 1444-1458页

作者： Li XIE Yi-qun ZHANG Jun-yan XU State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power UniversityBeijing 102206China Beijing Institute of Electronic Systems Engineering Beijing 100854China

Inspired by the geometric method proposed by Jean-Pierre MAREC, we first consider the Hohmann transfer problem between two coplanar circular orbits as a static nonlinear programming problem with an inequality constraint. By the Kuhn-Tucker theorem and a second-order sufficient condition for minima, we analytically prove the global minimum of the Hohmann transfer. Two sets of feasible solutions are found: one corresponding to the Hohmann transfer is the global minimum and the other is a local minimum. We next formulate the Hohmann transfer problem as boundary value problems, which are solved by the calculus of variations. The two sets of feasible solutions are also found by numerical examples. Via static and dynamic constrained optimizations, the solution to the Hohmann transfer problem is re-discovered, and its global minimum is analytically verified using nonlinear programming.

关键词： Hohmann transfer Nonlinear programming Constrained optimization Calculus of variations

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A new transient stability margin based on dynamic security region and its applications

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Science China(Technological Sciences) 2008年第6期51卷 751-760页

作者： XUE AnCheng1, 2 & MEI ShengWei1 1 State Key Lab of power systems, Department of Electrical engineering, Tsinghua University, Beijing 100084, China 2 Key Lab of systems and control, institute of systems Science, Chinese Academy of Sciences, Beijing 100190, China State Key Lab of Power Systems Department of Electrical Engineering Tsinghua University Beijing 100084 China Key Lab of Systems Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China

A new transient stability margin is proposed based on a new expression of dynamic security region (DSR) which is developed from the existing expression of DSR. Applications of the DSR based transient stability margin to contingency ranking and screening are discussed. Simulations in the 10-machine 39-bus New England system are performed to show the effectiveness of the proposed DSR based tran-sient stability margin.

关键词： dynamic security region (DSR) transient stability margin contingency screening

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