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18篇 您的检索式:作者名="Yang Junyou"
    题名 作者 年代 出处 被引量
1Incidence and prevalence of moyamoya disease in urban China: a nationwide retrospective cohort study显示文摘Background and objective Moyamoya disease(MMD)is an increasingly recognised cause of stroke,mainly described in East Asia.China is the largest nation in Asia,but few studies reported the epidemiology of MMD,especially at a national level.We aimed to estimate the incidence and prevalence of MMD in China.Methods We performed a population-based study using data from the national databases of Urban Basic Medical Insurance between 2013 and 2016,covering approximately 0.50 billion individuals.MMD cases were identified by diagnostic code(International Classification of Diseases,10th Revision I67.5)or related diagnostic text.Results A total of 1987 MMD patients(mean age 44.45±14.30 years,female-to male ratio 1.12)were identified,representing a national crude incidence of 0.59(95%CI:0.49 to 0.68)and a prevalence of 1.01(95%CI:0.81 to 1.21)per 100000 person-years in 2016.Rates were higher in females than in males for the incidence(0.66 vs 0.52)and prevalence(1.05 vs 0.90).And the age-specific rates showed a bimodal distribution,with the highest peak in middle-aged group and the second peak in child group.Conclusions Our results confirm that MMD is relatively common in East Asians,but the rates in China were lower than those in other East Asian countries such as Japan and Korea.The unique epidemiological features,including a relatively weak female predominance and a shift in the highest peak of incidence from children to adults,revealed new sight into MMD.Further research is expected to explore the potential pathogenesis of MMD.Yixin Sun Guoyu Zhou Jingnan Feng Lu Chen Guozhen Liu Jinxi Wang Qingliang Wang Junyou Yu Xiwang Yang Zheng Yang Pei Gao Shengfeng Wang Siyan Zhan 2021Stroke & Vascular Neurology2021,6,4:4
2The progress on antifouling organic coating: From biocide to biomimetic surface显示文摘The advancement in material science and engineering technology has led to the development of antifouling(AF) coatings which are cheaper, durable, less toxic, and safe to the environment. The use of AF coatings containing tributyltin compounds was prohibited at the beginning of 2003, this necessitated the development of environmentally friendly coatings. The fouling release coating(FRC) lacks biocides and has low surface energy, low elastic modulus with smooth surface properties, hence a better release effect to fouling organisms. Several functional coatings have been recently developed based on fouling release(FR) technology to combat the effects of biofouling. Here, we provide a brief overview of innovative technologies and recent developments based on FRCs, including silicone, modified fluorinated polymer,cross-linked coatings, amphiphilic copolymer coating, hydrogel coatings, and biomimetic coatings. We also highlight the key issues and shortcomings of innovative technologies based on FRCs. This may give new insights into the future development of marine AF coatings.Xu Han Jianhua Wu Xianhui Zhang Junyou Shi Jiaxin Wei Yang Yang Bo Wu Yonghui Feng 2021Journal of Materials Science & Technology2021,,2:2
3Preparation and thermoelectric properties of p-type Bi_(0.52)Sb_(1.48)Te_3 + 3% Te thin films显示文摘Thin films of p-type Bi0.52Sb1.48Te3 + 3% Te were deposited on glass substrates by flash evaporation.X-ray diffraction and field-emission scanning electron microscopy were performed to characterize the thin films,and the effects of preparation and annealing parameters on the thermoelectric properties were investigated.It was shown that the power factors of the films increased with increasing deposition temperature.Annealing the as-deposited films improved the power factors when the annealing time was less than 90 min and the annealing temperature was lower than 250℃.A maximum power factor of 10.66 μW cm-1 K-2 was obtained when the film was deposited at 200℃ and annealed at 250℃ for 60 min.ZHANG JianSheng YANG JunYou FENG ShuangLong LIU ZhengLai PENG JiangYing 2012Chinese Science Bulletin2012,57,32:2
4显示文摘Yang Junyou Zhu Wen Gao Xianhui 2005J Electroanal Chem2005,577,:1
5The effect of keratinocyte growth factor-2(KGF-2) on the proliferation of human keratinocytes显示文摘Objective;In vitro studies have shown that KGF-2 has a proliferative effect on neonatal foreskin kerati-nocytes.Cells from adult donors have been shown to respond to KGF-1 to a lesser degree than neonatal keratino-cytes.The purpose of the study was to investigate the proliferative effect of KGF-2 on keratinocytes from an adultsubject.Methods;Standard medium was Keratinocyte Growth Medium without BPE,hydrocortisone and EGF.Ke-ratinocytes cultured from a 48-year-old subject were seeded at 2 10~4 in 32 mm ...Yang Yinhui Fu Xiaobing Li Junyou Research Department of Burn Institute,304th Hospital,Beijing 100037 2002感染.炎症.修复2002,3,2:1
6Raspberry- like polymer composite particles via electrostatic hetero- coagulation 显示文摘LI Guoliang YANG Xinlin WANG Junyou 2008Colloids and Surfaces A : Physicochemi- cal and Engineering Aspects2008,322,123:1
7显示文摘Junyou Yang Wen Zhu Xianhui Gao 2005Journal of Electroanalytical Chemistry2005,577,:1
8Sensorless control of surface permanent magnet synchronous motor using a structural adaptive flux observer显示文摘Junyou Yang Zhengqiang Song Xinping Ding Huibiao Yang 0,,:1
9显示文摘Junyou Yang Rougang Chen Xi'an Fan Wen Zhu 2007Journal of Alloys and Compounds2007,429,:1
10Systematic Evaluation of Deep Neural Network based Dynamic Modeling Method for AC Power Electronic System显示文摘Since the high penetration of renewable energy complicates the dynamic characteristics of the AC power electronic system(ACPES),it is essential to establish an accurate dynamic model to obtain its dynamic behavior for ensure the safe and stable operation of the system.However,due to the no or limited internal control details,the state-space modeling method cannot be realized.It leads to the ACPES system becoming a black-box dynamic system.The dynamic modeling method based on deep neural network can simulate the dynamic behavior using port data without obtaining internal control details.However,deep neural network modeling methods are rarely systematically evaluated.In practice,the construction of neural network faces the selection of massive data and various network structure parameters.However,different sample distributions make the trained network performance quite different.Different network structure hyperparameters also mean different convergence time.Due to the lack of systematic evaluation and targeted suggestions,neural network modeling with high precision and high training speed cannot be realized quickly and conveniently in practical engineering applications.To fill this gap,this paper systematically evaluates the deep neural network from sample distribution and structural hyperparameter selection.The influence on modeling accuracy is analyzed in detail,then some modeling suggestions are presented.Simulation results under multiple operating points verify the effectiveness of the proposed method.Yunlu Li Guiqing Ma Junyou Yang Yan Xu 2023CES Transactions on Electrical Machines and Systems2023,7,2:0
11Cyber-physical Modeling Technique based Dynamic Aggregation of Wind Farm Considering LVRT Characteristic显示文摘With the increasing penetration of wind power,large-scale integrated wind turbine brings stability and security risks to the power grid.For the aggregated modeling of large wind farms,it is crucial to consider low voltage ride-through(LVRT)characteristics.However,in aggregation methods,the approximate neglect behavior is essential,which leads to inevitable errors in the aggregation process.Moreover,the lack of parameters in practice brings new challenges to the modeling of a wind farm.To address these issues,a novel cyber-physical modeling method is proposed.This method not only overcomes the aggregation problem under the black-box wind farm but also accurately realizes the aggregation error fitting according to the operation data.The simulation results reveal that the proposed method can accurately simulate the dynamic behaviors of the wind farm in various scenarios,whether in LVRT mode or normal mode.Guiqing Ma Yunlu Li Junyou Yang Bing Wu 2023CES Transactions on Electrical Machines and Systems2023,7,2:0
12Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response显示文摘Integrated energy system optimization scheduling can improve energy efficiency and low carbon economy.This paper studies an electric-gas-heat integrated energy system,including the carbon capture system,energy coupling equipment,and renewable energy.An energy scheduling strategy based on deep reinforcement learning is proposed to minimize operation cost,carbon emission and enhance the power supply reliability.Firstly,the lowcarbon mathematical model of combined thermal and power unit,carbon capture system and power to gas unit(CCP)is established.Subsequently,we establish a low carbon multi-objective optimization model considering system operation cost,carbon emissions cost,integrated demand response,wind and photovoltaic curtailment,and load shedding costs.Furthermore,considering the intermittency of wind power generation and the flexibility of load demand,the low carbon economic dispatch problem is modeled as a Markov decision process.The twin delayed deep deterministic policy gradient(TD3)algorithm is used to solve the complex scheduling problem.The effectiveness of the proposed method is verified in the simulation case studies.Compared with TD3,SAC,A3C,DDPG and DQN algorithms,the operating cost is reduced by 8.6%,4.3%,6.1%and 8.0%.Jian Dong Haixin Wang Junyou Yang Liu Gao Kang Wang Xiran Zhou 2022Computer Modeling in Engineering & Sciences2022,,7:0
13PhaseFIT:live-organoid phase-fluorescent image transformation via generative AI显示文摘Organoid models have provided a powerful platform for mechanistic investigations into fundamental biological processes involved in the development and function of organs.Despite the potential for image-based phenotypic quantification of organoids,their complex 3D structure,and the time-consuming and labor-intensive nature of immunofluorescent staining present significant challenges.In this work,we developed a virtual painting system,PhaseFIT(phase-fluorescent image transformation)utilizing customized and morphologically rich 2.5D intestinal organoids,which generate virtual fluorescent images for phenotypic quantification via accessible and low-cost organoid phase images.This system is driven by a novel segmentation-informed deep generative model that specializes in segmenting overlap and proximity between objects.The model enables an annotation-free digital transformation from phase-contrast to multi-channel fluorescent images.The virtual painting results of nuclei,secretory cell markers,and stem cells demonstrate that PhaseFIT outperforms the existing deep learning-based stain transformation models by generating fine-grained visual content.We further validated the efficiency and accuracy of PhaseFIT to quantify the impacts of three compounds on crypt formation,cell population,and cell stemness.PhaseFIT is the first deep learning-enabled virtual painting system focused on live organoids,enabling large-scale,informative,and efficient organoid phenotypic quantification.PhaseFIT would enable the use of organoids in high-throughput drug screening applications.Junhan Zhao Xiyue Wang Junyou Zhu Chijioke Chukwudi Andrew Finebaum Jun Zhang Sen Yang Shijie He Nima Saeidi 2023Light(Science & Applications)2023,12,12:0
14Lattice Thermal Transport in Double-filled Skutterudites In_(0.1)Yb_yCo_4Sb_(12)显示文摘In order to investigate the phonon scattering mechanisms in double-filled skutterudites, the low-temperature lattice thermal conductivities of In0.1YbyCo4Sb12 were measured and analyzed based on the Debye model. The eingenmode frequencies of In and Yb were obtained from low-temperature specific heat capacity analysis. It is found that filling these two types of guest atoms with different eingenmode frequencies into the voids in skutterudites could introduce strong point defect and resonant scattering to lattice phonons, thus lead to significant decrease in the lattice thermal conductivity.徐薇 彭江英 HE Jian ZHOU Menghan YANG Junyou FU Liangwei 2013Journal of Wuhan University of Technology(Materials Science)2013,28,4:0
15Microstructure tailoring in nanostructured thermoelectric materials显示文摘Progresses in thermoelectric(TE)materials will contribute to solving the world's demands for energy and global climate protection.It also calls for higher ZT to achieve ideal commercial conversion efficiency.As an effective way,nanostructuring can reduce the thermal conductivity by the selective scattering of phonons or enhance Seebeck coefficient via modification of the density of the states,resulting in good ZT value.Meanwhile,TE properties of nanostructured materials should depend on the size and morphology of the microstructure features.This review emphasizes the developments in the TE bulk materials at the nanoscale in the past several years and summarizes the understanding in this active field.Qinghui Jiang Junyou Yang Yong Liu Hongcai He 2016Journal of Advanced Dielectrics2016,6,1:0
16Enhancing the stability of planar perovskite solar cells by green and inexpensive cellulose acetate butyrate显示文摘Although the efficiency of organic–inorganic hybrid halide perovskite solar cells has been improved rapidly, the intrinsic instability of perovskite materials restricts their commercial application. Here, an eco-friendly and low-cost organic polymer, cellulose acetate butyrate(CAB), was introduced to the grain boundaries and surfaces of perovskite, resulting in a high-quality and low-defect perovskite film with a nearly tenfold improvement in carrier lifetime. More importantly, the CAB-treated perovskite films have a well-matched energy level with the charge transport layers, thus suppressing carrier nonradiative recombination and carrier accumulation. As a result, the optimized CAB-based device achieved a champion efficiency of 21.5% compared to the control device(18.2%). Since the ester group in CAB bonds with Pb in perovskite, and the H and O in the hydroxyl group bond with the I and organic cations in perovskite,respectively, it will contribute to superior stability under heat, high humidity, and light soaking conditions. After aging under 35% humidity(relative humidity, RH) for 3300 h, the optimized device can still maintain more than 90% of the initial efficiency;it can also retain more than 90% of the initial efficiency after aging at 65 ℃, 65% RH, or light(AM 1.5G) for 500 h. This simple optimization strategy for perovskite stability could facilitate the commercial application of perovskite solar cells.Bo Xiao Yongxin Qian Xin Li Yang Tao Zijun Yi Qinghui Jiang Yubo Luo Junyou Yang 2023Journal of Energy Chemistry2023,,1:0
17Low-Frequency Oscillation Analysis of Grid-Connected VSG System Considering Multi-Parameter Coupling显示文摘With the increasing integration of new energy generation into the power system and the massive withdrawal of traditional fossil fuel generation,the power system is faced with a large number of stability problems.The phenomenon of low-frequency oscillation caused by lack of damping and moment of inertia is worth studying.In recent years,virtual synchronous generator(VSG)technique has been developed rapidly because it can provide considerable damping and moment of inertia.While improving the stability of the system,it also inevitably causes the problem of active power oscillation,especially the low mutual damping between the VSG and the power grid will make the oscillation more severe.The traditional time-domain state-space method cannot reflect the interaction among state variables and study the interaction between different nodes and branches of the power grid.In this paper,a frequency-domain method for analyzing low-frequency oscillations considering VSG parameter coupling is proposed.First,based on the rotor motion equation of the synchronous generator(SG),a secondorder VSG model and linearized power-frequency control loop model are established.Then,the differences and connections between the coupling of key VSG parameters and low-frequency oscillation characteristics are studied through frequency domain analysis.The path and influencemechanism of a VSG during low-frequency power grid oscillations are illustrated.Finally,the correctness of the theoretical analysis model is verified by simulation.Shengyang Lu Tong Wang Yuanqing Liang Shanshan Cheng Yupeng Cai Haixin Wang Junyou Yang Yuqiu Sui Luyu Yang 2023Computer Modeling in Engineering & Sciences2023,,6:0
18Deposition of antimony telluride thin film by ECALE显示文摘The process of Sb2Te3 thin film growth on the Pt substrate by electrochemical atomic layer epitaxy (ECALE) was studied. Cyclic voltammetric scanning was performed to analyze the electrochemical behavior of Te and Sb on the Pt substrate. Sb2Te3 film was formed using an automated flow deposition system by alternately depositing Te and Sb atomic layers for 400 circles. The deposited Sb2Te3 films were characterized by XRD, EDX, FTIR and FESEM observation. Sb2Te3 compound structure was confirmed by XRD pattern and agreed well with the results of EDX quantitative analysis and coulometric analysis. FESEM micrographs showed that the deposit was composed of fine nano particles with size of about 20 nm. FESEM image of the cross section showed that the deposited films were very smooth and dense with thickness of about 190 nm. The optical band gap of the deposited Sb2Te3 film was determined as 0.42 eV by FTIR spectroscopy, and it was blue shifted in comparison with that of the bulk Sb2Te3 single crystal due to its nanocrystalline microstructure.GAO Xianhui YANG Junyou ZHU Wen HOU Jie BAO Siqian FAN Xi'an DUAN Xingkai 2006Science China(Technological Sciences)2006,49,6:0
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