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| 1 | Security Analysis of a Park-level Agricultural Energy Network Considering Agrometeorology and Energy Meteorology显示文摘China’s industrial manufacturing industry is well developed,but its agriculture is primitive.The only way to solve this problem is to improve through modern agriculture.The cross integration of new energy development and modern agriculture is becoming more and more critical.However,the research on the interaction between the meteorological disaster of facility agriculture and the power supply security of the integrated energy supply system has not formed a systematic theoretical system,which challenges the collaborative security of the facility agriculture and energy system.In this paper,energy meteorology and agrometeorology are considered and modeled,and the static security of a park-level agricultural energy network is simulated and analyzed under different weather conditions. | Xueqian Fu Dechang Yang Qinglai Guo Hongbin Sun | 2020 | CSEE Journal of Power and Energy Systems2020，6，3： | 5 |
| 2 | Two-dimensional materials for light emitting applications:Achievement,challenge and future perspectives显示文摘The two-dimensional(2D)materials have been widely developed recently in material characteristics with advanced optical and electrical properties,and they have been extensively studied as candidates for the next generation of optoelectronic devices.This review will mainly focus on the preparation methods and the light emitting applications of 2D transition metal dichalcogenides(TMDs),2D black phosphorene(BP)and 2D perovskites.The review will first introduce the preparation methods for TMDs and BP.Due to the variations of band structure,exciton binding energies and light-matter interaction in TMDs and BP,the different light emitting devices(LEDs)designs based on TMDs and BP will be discussed and summarized.Then the review will turn the focus to 2D perovskites,starting with a description of the preparation methods for the different structural perovskites.In order to review and summarize the achievements of 2D perovskites-based LEDs,the high efficiency perovskites LEDs are discussed.Finally,the review will present challenges,opportunities,and outlook for the future development of 2D materials-based light emitting applications. | Yi Zhu Xueqian Sun Yilin Tang Lan Fu Yuerui Lu | 2021 | Nano Research2021，14，6： | 2 |
| 3 | Statistical machine learning model for capacitor planning considering uncertainties in photovoltaic power显示文摘New energy integration and flexible demand response make smart grid operation scenarios complex and change-able,which bring challenges to network planning.If every possible scenario is considered,the solution to the plan-ning can become extremely time-consuming and difficult.This paper introduces statistical machine learning(SML)techniques to carry out multi-scenario based probabilistic power flow calculations and describes their application to the stochastic planning of distribution networks.The proposed SML includes linear regression,probability distribu-tion,Markov chain,isoprobabilistic transformation,maximum likelihood estimator,stochastic response surface and center point method.Based on the above SML model,capricious weather,photovoltaic power generation,thermal load,power flow and uncertainty programming are simulated.Taking a 33-bus distribution system as an example,this paper compares the stochastic planning model based on SML with the traditional models published in the literature.The results verify that the proposed model greatly improves planning performance while meeting accuracy require-ments.The case study also considers a realistic power distribution system operating under stressed conditions. | Xueqian Fu | 2022 | Protection and Control of Modern Power Systems2022，7，1： | 2 |
| 4 | Inhibition of furin by bone targeting superparamagnetic iron oxide nanoparticles alleviated breast cancer bone metastasis显示文摘Breast cancer bone metastasis poses significant challenge for therapeutic strategies.Inside the metastatic environment,osteoclasts and tumor cells interact synergistically to promote cancer progression.In this study,the proprotein convertase furin is targeted due to its critical roles in both tumor cell invasion and osteoclast function.Importantly,the furin inhibitor is specifically delivered by bone targeting superparamagnetic iron oxide(SPIO)nanoparticles.Our in vitro and in vivo data demonstrate that this system can effectively inhibit both osteoclastic bone resorption and breast cancer invastion,leading to alleviated osteolysis.Therefore,the bone targeting&furin inhibition nanoparticle system is a promising therapeutic and diagnostic strategy for breast cancer bone metastasis. | Yichuan Pang Li Su Yao Fu Fan Jia Chenxi Zhang Xiankun Cao Wenxin He Xueqian Kong Jiake Xu Jie Zhao An Qin | 2021 | Bioactive Materials2021，6，3： | 2 |
| 5 | Optimal allocation and adaptive VAR control of PV-DG in distribution networks显示文摘 | FU Xueqian CHEN Haoyong CAI Runqing | 2015 | Applied Energy2015，137，： | 1 |
| 6 | Electron-ion collider in China显示文摘Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei.As a future high energy nuclear physics project,an Electron-ion collider in China(EicC)has been proposed.It will be constructed based on an upgraded heavy-ion accelerator,High Intensity heavy-ion Accelerator Facility(HIAF)which is currently under construction,together with a new electron ring.The proposed collider will provide highly polarized electrons(with a po-larization of 80%)and protons(with a polarization of 70%)with variable center of mass energies from 15 to 20 GeV and the luminosity of(2–3)×1033 cm^(−2)·s^(−1).Polarized deuterons and Helium-3,as well as unpolarized ion beams from Carbon to Uranium,will be also available at the EicC.The main foci of the EicC will be precision measurements of the structure of the nucleon in the sea quark region,including 3D tomography of nucleon;the partonic structure of nuclei and the parton interaction with the nuclear environment;the exotic states,especially those with heavy flavor quark contents.In addition,issues fundamental to understanding the origin of mass could be addressed by measurements of heavy quarkonia near-threshold production at the EicC.In order to achieve the above-mentioned physics goals,a hermetical detector system will be constructed with cutting-edge technologies.This document is the result of collective contributions and valuable inputs from experts across the globe.The EicC physics program complements the ongoing scientific programs at the Jefferson Laboratory and the future EIC project in the United States.The success of this project will also advance both nuclear and particle physics as well as accelerator and detector technology in China. | Daniele PAnderle Valerio Bertone Xu Cao Lei Chang Ningbo Chang Gu Chen Xurong Chen Zhuojun Chen Zhufang Cui Lingyun Dai Weitian Deng Minghui Ding Xu Feng Chang Gong Longcheng Gui Feng-Kun Guo Chengdong Han Jun He Tie-Jiun Hou Hongxia Huang Yin Huang KrešImir KumeričKi LPKaptari Demin Li Hengne Li Minxiang Li Xueqian Li Yutie Liang Zuotang Liang Chen Liu Chuan Liu Guoming Liu Jie Liu Liuming Liu Xiang Liu Tianbo Liu Xiaofeng Luo Zhun Lyu Boqiang Ma Fu Ma Jianping Ma Yugang Ma Lijun Mao Cédric Mezrag HervéMoutarde Jialun Ping Sixue Qin Hang Ren Craig DRoberts Juan Rojo Guodong Shen Chao Shi Qintao Song Hao Sun PawełSznajder Enke Wang Fan Wang Qian Wang Rong Wang Ruiru Wang Taofeng Wang Wei Wang Xiaoyu Wang Xiaoyun Wang Jiajun Wu Xinggang Wu Lei Xia Bowen Xiao Guoqing Xiao Ju-Jun Xie Yaping Xie Hongxi Xing Hushan Xu Nu Xu Shusheng Xu Mengshi Yan Wenbiao Yan Wencheng Yan Xinhu Yan Jiancheng Yang Yi-Bo Yang Zhi Yang Deliang Yao Zhihong Ye Peilin Yin C-PYuan Wenlong Zhan Jianhui Zhang Jinlong Zhang Pengming Zhang Yifei Zhang Chao-Hsi Chang Zhenyu Zhang Hongwei Zhao Kuang-Ta Chao Qiang Zhao Yuxiang Zhao Zhengguo Zhao Liang Zheng Jian Zhou Xiang Zhou Xiaorong Zhou Bingsong Zou Liping Zou | 2021 | Frontiers of physics2021，16，6： | 1 |
| 7 | Risk factors for chronic ankle instability after first episode of lateral ankle sprain:A retrospective analysis of 362 cases显示文摘Background:Chronic ankle instability(CAI) is a common sequela following an acute lateral ankle sprain(LAS).To treat an acture LAS more effectively and efficiently,it is important to identify patients at substantial risk for developing CAI.This study identifies magnetic resonance imaging(MRI) manifestations for predicting CAI development after a first episode of LAS and explores appropriate clinical indications for ordering MRI scans for these patients.Methods:All patients with a first-episode LAS who received plain radiograph and MRI scanning within the first 2 weeks after LAS from December 1,2017 to December 1,2019 were identified.Data were collected using the Cumberland Ankle Instability Tool at final follow-up.Demographic and other related clinical variables,including age,sex,body mass index,and treatment were also recorded.Univariable and multivariable analyses were performed successively to identify risk factors for CAI after first-episode LAS.Results:A total 131 out of 362 patients with a mean follow-up of 3.0± 0.6 years(mean ± SD;2.0—4.1 years) developed CAI after first-episode LAS.According to multivariable regression,development of CAI after first-episode LAS was associated with 5 prognostic factors:age(odds ratio(OR)=0.96,95% confidence interval(95%CI):0.93-1.00,p=0.032);body mass index(OR=1.09,95%CI:1.02-1.17,p=0.009);posterior talofibular ligament injury(OR=2.17,95%CI:1.05-4.48,p=0.035);large bone marrow lesion of the talus(OR=2.69,95%CI:1.30-5.58,p=0.008),and Grade 2 effusion of the tibiotalar joint(OR=2.61,95%CI:1.39-4.89,p=0.003).When patients had at least 1 positive clinical finding in the 10-m walk test,anterior drawer test,or inversion tilt test,they had a 90.2% sensitivity and 77.4% specificity in terms of detecting at least 1 prognostic factor by MRI.Conclusion:MRI scanning is valuable in predicting CAI after first-episode LAS for those patients with at least 1 positive clinical finding in the10-m walk test,anterior drawer test,and inversion tilt test.Further prospective and large-scale studies are necessary for validation. | Jieyuan Zhang Kai Yang Cheng Wang Wenqi Gu Xueqian Li Shaoling Fu Guoxun Song Jiazheng Wang Chenglin Wu Hongyi Zhu Zhongmin Shi | 2023 | Journal of Sport and Health Science2023，12，5： | 1 |
| 8 | Crude Polysaccharide and Triterpene Content of Ganoderma Fruit Bodies at Different Stages of Development显示文摘Crude polysaccharide and triterpene levels were determined in the fruit bodies of eleven Lingzhi samples,designated as Ganoderma lucidum,G.capense and G.tsugae,harvested at four different stages of development: budding,elongation,maturation and senescence.In most cases,crude polysaccharide levels were highest at the budding stage,decreased during the elongation stage,increased again at maturation and were lowest at senescence.Triterpene levels generally remained relatively high during the first three developmental stages but were markedly lower at senescence. | FU Lizhong WU Xueqian LI Mingyan LI Haibo WEI Hailong WU Qingqi CHENG Junwen HE Liang | 2008 | 食用菌学报2008，15，3： | 1 |
| 9 | Key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry显示文摘Energy consumption in the agricultural sector is significant,reaching 20%of the total energy consumption in China.Agricultural Energy Internet,an important extension of Energy Internet in the agricultural field,significantly contributes to agricultural modernization.Key technologies of Agricultural Energy Internet are vital factors supporting its development.This article systematically reviews the key technologies of Agricultural Energy Internet for two areas:agriculture and fishery.The working mechanisms and power consumption characteristics of some state-of-the-art new-energy agricultural intelligent equipment are described.In addition,the principles and profit methods underlying the agro-industrial complementary operation model are introduced.Moreover,against the Agricultural Energy Internet background,the development trends of some state-of-theart new energy agricultural intelligent equipment,agro-industrial complementary,and carbon–neutral technology are proposed in this paper,providing novel perspectives on the promotion of the development of Agricultural Energy Internet and related technological innovation research.An unmanned farm is the main form of the future agricultural system,which is powered by the Agricultural Energy Internet based on smart agriculture and a smart grid.It will become the inevitable trend of modern agriculture to replace oil agriculture with electric farms.The electricity in farming is mainly generated by renewable energy.Renewable energy power generation has low carbon emissions and is the future direction for the development of agricultural energy systems.In addition,the Internet of Things will be further strengthened to realize automation and intelligence of agricultural energy systems。 | Xueqian Fu Haosen Niu | 2023 | Information Processing in Agriculture2023，10，3： | 0 |
| 10 | The instability of a stable metal-organic framework in amino acid solutions显示文摘Metal–organic frameworks(MOFs)are being investigated as the potential materials for future drug delivery and gene therapy systems thanks to their tunable functionality and biocompatibility.However,the structure of MOFs could be altered in a biological environment or in a buffer solution.It is of great importance to evaluate the stability of MOFs and understand the degradation processes for the sake of the biomedical applications.In this work,we investigate the stability of UiO-66,a generally-perceived stable MOF,in different amino acid solutions.We find that UiO-66 loses crystallinity in relatively mild basic conditions(when pH≥9)in the presence of amino acids.The instability is more pronounced in the lysine and arginine solutions which have stronger basicity.It can be attributed to the accelerated ligand exchange of UiO-66 under basic conditions.With a combination of techniques,we show that the amino acids can replace the organic linkers and form zirconium-amino acid complexes.Our research reveals one possible mechanism of MOF degradation in biological environment,yet such degradability could be also an important designable property for MOFs in biomedical applications. | Yiran Wang Jinglin Yin Weicheng Cao Yao Fu Xueqian Kong | 2022 | Nano Research2022，15，7： | 0 |
| 11 | Modeling of comprehensive power load of fishery energy internet considering fishery meteorology显示文摘Accurate calculation for comprehensive power load of fishery energy internet plays a significant role in reasonable using of energy and reducing environmental pollution.However,as fishery power load is of greatly unique meteorology sensitivity,it continues to be a difficult problem.Therefore,the research of fishery meteorology is an important part of the rational development of fishery resources,the protection of production safety,and the pursuit of high and stable yield.This paper makes a deep study on the power load of the fishery energy internet under the influence of fishery meteorology and takes onshore fish pond as the research object.First of all,the power load is divided into three parts:oxygen enrichment power load,feeding power load,and water replenishment and drainage power load.The impact mechanism of fishery meteorology(including temperature,surface wind speed,precipitation,relative humidity,etc.)on it is described,and then the overall power load is obtained through modeling and integration.Finally,taking the Yuguang Complementary Project in Zhouquan Town,Tongxiang,Zhejiang Province,China as an example,using the meteorological data of its typical spring day and using the MATLAB tool to solve,the hourly comparison of the three types of power loads,the comprehensive power load demand,the full-day electricity charge forecast and the total annual power consumption are calculated.The annual power consumption per hectare and per kilogram of output calculated by simulation are basically consistent with the order of magnitude of the survey data,which proves the validity of the model proposed.The model established in this paper is an original work,and the exploration of fishery energy internet can draw lessons from it. | Xueqian Fu Tong Gou | 2023 | Information Processing in Agriculture2023，10，4： | 0 |
| 12 | Planning of distributed renewable energy systems under uncertainty based on statistical machine learning显示文摘The development of distributed renewable energy,such as photovoltaic power and wind power generation,makes the energy system cleaner,and is of great significance in reducing carbon emissions.However,weather can affect distributed renewable energy power generation,and the uncertainty of output brings challenges to uncertainty planning for distributed renewable energy.Energy systems with high penetration of distributed renewable energy involve the high-dimensional,nonlinear dynamics of large-scale complex systems,and the optimal solution of the uncertainty model is a difficult problem.From the perspective of statistical machine learning,the theory of planning of distributed renewable energy systems under uncertainty is reviewed and some key technologies are put forward for applying advanced artificial intelligence to distributed renewable power uncertainty planning. | Xueqian Fu Xianping Wu Chunyu Zhang Shaoqian Fan Nian Liu | 2022 | Protection and Control of Modern Power Systems2022，7，1： | 0 |
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