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| 1 | The pulsed high magnetic field facility and scientific research at Wuhan National High Magnetic Field Center显示文摘Wuhan National High Magnetic Field Center(WHMFC)at Huazhong University of Science and Technology is one of the top-class research centers in the world,which can offer pulsed fields up to 90.6 T with different field waveforms for scientific research and has passed the final evaluation of the Chinese government in 2014.This paper will give a brief introduction of the facility and the development status of pulsed magnetic fields research at WHMFC.In addition,it will describe the application development of pulsed magnetic fields in both scientific and industrial research. | Xiaotao Han Tao Peng Hongfa Ding Tonghai Ding Zengwei Zhu Zhengcai Xia Junfeng Wang Junbo Han Zhongwen Ouyang Zhenxing Wang Yibo Han Houxiu Xiao Quanliang Cao Yiliang Lv Yuan Pan Liang Li | 2017 | Matter and Radiation at Extremes2017，2，6： | 5 |
| 2 | The pulsed high magnetic field facility at HUST, Wuhan, China and associated magnets显示文摘 | Li Liang Ding Hongfa Peng Tao | 2008 | IEEE Transactions on Applied Superconductivity2008，18，2： | 1 |
| 3 | A quantitative analysis of oleanolic acid in six Zangyinchen drugs from Qinghai Province显示文摘 | SUN Hongfa FAN Shufen DING Jingye | 1987 | Acta Biological Plateau Sinica1987，，6： | 1 |
| 4 | The pulsed high magnetic field facility at HUST, Wuhan, China and associated magnets显示文摘 | Li Liang Ding Hongfa Peng Tao | 2008 | 1EEE Transactions on Applied Superconductivity2008，18，2： | 1 |
| 5 | Development of Deep Desulphurization Process for X65 HIC Resistant Pipeline Steel显示文摘The effect of ladle slag composition, bottom stirring intensity, and refining duration on desulphurization (De-S hereafter) behavior was investigated in ladle furnace (180t) through production data analysis and plant scale experiments. The results show that the ladle slag composition for deep De-S is w(CaO): 50%-55%, w(CaF2): 3%-7%, w(Al2O3): 20%-25%, w (SiO2) <10%, w (MgO) <10%, and w(FeO) <0.5%; De-S ratio doubled from around 10% to around 20%, within the selected period of 8 min with the increase of Ar flowrate of bottom blowing from 400 L/min to 600 L/min; sulfur can be reduced to less than 10 ppm from around 35 ppm within 20 min if the Ar flowrate is kept at 600 L/min; during steelmaking trial of X65 HIC resistant steel, the sulfur content of final product was controlled to be below 10 ppm when sulfur content of the melt at BOF blowing end was kept below 60 ppm, De-S was carried out with the above mentioned slag, and 600 L/min Ar stirring for more than 20 min. | DENG Xu-yan1, ZOU Chang-dong1, ZHOU Yan-zhao1, XIA Qi1, HUANG Zhu-ping2, DING Zhen-tao2 (1. Steelmaking and Casting Group, Institute of Research of Iron and Steel of Jiangsu (Shasteel), Suzhou 215625, Jiangsu, China 2. Hongfa Steelmaking Plant, Shasteel Group, Suzhou 215625, Jiangsu, China) | 2011 | Journal of Iron and Steel Research(International)2011，18，S2： | 0 |
| 6 | Temporal and spatial variations of carbon isotope signature reveal substantial contribution of bracts and internode assimilates to grain filling of japonica rice显示文摘Carbon isotope composition(δ^(13)C)of a plant organ is an inherent signature reflecting its physiological property,and thus is used as an integrative index in crop breeding.It is also a non-intrusive method for quantifying the relative contribution of different source organs to grain filling in cereals.Using the samples collected from two-year field and pot experiments with two nitrogen(N)fertilization treatments,we investigated the temporal and spatial variations of δ^(13)C in source organs of leaf,sheath,internode,and bracts,and in sink organ grain.Constitutive nature of δ^(13)C was uncovered,with an order of leaf(−27.84‰) | Mengjiao Jiang Hongfa Xu Nianfu Yang Ganghua Li Yanfeng Ding Matthew J.Paul Zhenghui Liu | 2021 | The Crop Journal2021，9，2： | 0 |
| 7 | Quantum-Resistant Multi-Feature Attribute-Based Proxy Re-Encryption Scheme for Cloud Services显示文摘Cloud-based services have powerful storage functions and can provide accurate computation.However,the question of how to guarantee cloud-based services access control and achieve data sharing security has always been a research highlight.Although the attribute-based proxy re-encryption(ABPRE)schemes based on number theory can solve this problem,it is still difficult to resist quantum attacks and have limited expression capabilities.To address these issues,we present a novel linear secret sharing schemes(LSSS)matrix-based ABPRE scheme with the fine-grained policy on the lattice in the research.Additionally,to detect the activities of illegal proxies,homomorphic signature(HS)technology is introduced to realize the verifiability of re-encryption.Moreover,the non-interactivity,unidirectionality,proxy transparency,multi-use,and anti-quantum attack characteristics of our system are all advantageous.Besides,it can efficiently prevent the loss of processing power brought on by repetitive authorisation and can enable precise and safe data sharing in the cloud.Furthermore,under the standard model,the proposed learning with errors(LWE)-based scheme was proven to be IND-sCPA secure. | Jinqiu Hou Changgen Peng Weijie Tan Hongfa Ding | 2024 | Computer Modeling in Engineering & Sciences2024，138，1： | 0 |
| 8 | Dissection of environmental and physiological effects on the temperature difference between superior and inferior spikelets within a rice panicle显示文摘Temperature of a plant organ constitutes an integrative index to its eco-physiological properties and status.However,little attempt has been made to dissect the combined effect of ecological and physiological factors on the surface temperature of a plant organ such as the rice spikelet.In this study,using a deactivated plant as reference,we developed a novel comparison method to dissect the environmental and physiological effects on temperature of rice spikelet.Three japonica rice cultivars with contrasting canopy features were used as testing materials.Temperatures of flag leaf,superior and inferior spikelets and their diurnal rhythm during grain filling stage were precisely measured by a hand-held infrared thermometer.The results showed that the variation of environmental conditions within a panicle was relatively minor,posing a limited influence on temperature difference between the superior and inferior spikelet.On the other hand,it was the intrinsic physiological properties that considerably affected the spatial variations of spikelet temperature within a panicle.Chemical analysis of sucrose and starch in grains and bracts indicated that the superior spikelet is more physiologically active at photosynthetic assimilation and starch biosynthesis.Interestingly,sugar in bracts exhibited a pattern of diurnal changes similar to the source leaf but different from the sink grain,confirming that bracts are source organs for grain filling.Our findings yield penetrating insight into the eco-physiological foundation of spikelet temperature,thus being helpful for the application of physiological approaches in crop breeding for cooler canopy. | Yi Li Qianlan Zhou Mingjie He Hongfa Xu Ganghua Li Yanfeng Ding Matthew Paul Zhenghui Liu | 2021 | The Crop Journal2021，9，5： | 0 |
| 9 | A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition显示文摘With the development of artificial intelligence,stiffness sensors are extensively utilized in various fields,and their integration with robots for automated palpation has gained significant attention.This study presents a broad range self-powered stiffness sensor based on the triboelectric nanogenerator(Stiff-TENG)for variable inclusions in soft objects detection.The Stiff-TENG employs a stacked structure comprising an indium tin oxide film,an elastic sponge,a fluorinated ethylene propylene film with a conductive ink electrode,and two acrylic pieces with a shielding layer.Through the decoupling method,the Stiff-TENG achieves stiffness detection of objects within 1.0 s.The output performance and characteristics of the TENG for different stiffness objects under 4 mm displacement are analyzed.The Stiff-TENG is successfully used to detect the heterogeneous stiffness structures,enabling effective recognition of variable inclusions in soft object,reaching a recognition accuracy of 99.7%.Furthermore,its adaptability makes it well-suited for the detection of pathological conditions within the human body,as pathological tissues often exhibit changes in the stiffness of internal organs.This research highlights the innovative applications of TENG and thereby showcases its immense potential in healthcare applications such as palpation which assesses pathological conditions based on organ stiffness. | Ziyi Zhao Zhentan Quan Huaze Tang Qinghao Xu Hongfa Zhao Zihan Wang Ziwu Song Shoujie Li Ishara Dharmasena Changsheng Wu Wenbo Ding | 2023 | Nano-Micro Letters2023，15，12： | 0 |
| 10 | Energy Management and Capacity Optimization of Photovoltaic, Energy Storage System, Flexible Building Power System Considering Combined Benefit显示文摘Building structures themselves are one of the key areas of urban energy consumption,therefore,are a major source of greenhouse gas emissions.With this understood,the carbon trading market is gradually expanding to the building sector to control greenhouse gas emissions.Hence,to balance the interests of the environment and the building users,this paper proposes an optimal operation scheme for the photovoltaic,energy storage system,and flexible building power system(PEFB),considering the combined benefit of building.Based on the model of conventional photovoltaic(PV)and energy storage system(ESS),the mathematical optimization model of the system is proposed by taking the combined benefit of the building to the economy,society,and environment as the optimization objective,taking the near-zero energy consumption and carbon emission limitation of the building as the main constraints.The optimized operation strategy in this paper can give optimal results by making a trade-off between the users’costs and the combined benefits of the building.The efficiency and effectiveness of the proposed methods are verified by simulated experiments. | Chang Liu Bo Luo Wei Wang Hongyuan Gao Zhixun Wang Hongfa Ding Mengqi Yu Yongquan Peng | 2023 | Energy Engineering2023，120，2： | 0 |
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