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Effective ensemble learning approach for SST field prediction using attention-based PredRNN

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Frontiers of Computer Science 2023年第1期17卷 143-155页

作者： Baiyou QIAO Zhongqiang WU Ling MA yicheng zhou Yunjiao SUN School of Computer Science and Engineering Northeastern UniversityShenyang 110169China Key Laboratory of Intelligent Computing in Medical Image Ministry of EducationNortheastern UniversityShenyang 110169China

Accurate prediction of sea surface temperature (SST) is extremely important for forecasting oceanic environmental events and for ocean studies. However, the existing SST prediction methods do not consider the seasonal periodicity and abnormal fluctuation characteristics of SST or the importance of historical SST data from different times;thus, these methods suffer from low prediction accuracy. To solve this problem, we comprehensively consider the effects of seasonal periodicity and abnormal fluctuation characteristics of SST data, as well as the influence of historical data in different periods, on prediction accuracy. We propose a novel ensemble learning approach that combines the Predictive Recurrent Neural Network(PredRNN) network and an attention mechanism for effective SST field prediction. In this approach, the XGBoost model is used to learn the long-period fluctuation law of SST and to extract seasonal periodic features from SST data. The exponential smoothing method is used to mitigate the impact of severely abnormal SST fluctuations and extract the a priori features of SST data. The outputs of the two aforementioned models and the original SST data are stacked and used as inputs for the next model, the PredRNN network. PredRNN is the most recently developed spatiotemporal deep learning network, which simulates both spatial and temporal representations and is capable of transferring memory across layers and time steps. Therefore, we used it to extract the spatiotemporal correlations of SST data and predict future SSTs. Finally, an attention mechanism is added to capture the importance of different historical SST data, weigh the output of each step of the PredRNN network, and improve the prediction accuracy. The experimental results on two ocean datasets confirm that the proposed approach achieves higher training efficiency and prediction accuracy than the existing SST field prediction approaches do.

关键词： SST prediction ensemble learning XGBoost PredRNN attention mechanism

Catalyst-free,direct electrochemical trifluoromethylation/cyclization of N-arylacrylamides using TfNHNHBoc as a CF_(3) source

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Chinese Chemical Letters 2022年第1期33卷 221-224页

作者： Han Wang Yongbin Xie yicheng zhou Nannan Cen Wenbo Chen Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China CAS Key Laboratory of Energy Regulation Materials Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

A new electrochemical strategy for trifluoromethylation/cyclization using TfNHNHBoc as a CF_(3)source was *** approach was realized by the direct electrolysis of Tf NHNHBoc under external oxidantfree and catalyst-free conditions,and afforded various trifluoromethylated oxindoles with good functional group compatibility and broad substrate *** mechanistic studies show that the reaction proceeds by a radical process.

关键词： Electrolysis Trifluoromethylation Cyclization TfNHNHBoc Radical process

Iridium(I)-catalyzed deoxgenation of fluoroalkylsulfoxides with dimethyl diazomalonate to access fluoroalkylthioethers

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Chinese Chemical Letters 2022年第11期33卷 4865-4869页

作者： Wenqing Lu Wenlin Li yicheng zhou Yongbin Xie Wenbo Chen Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China CAS Key Laboratory of Energy Regulation Materials Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

A new method for the preparation of fluoroalkylthioethers including trifluoromethylthioether and difluoromethylthioether by iridium(Ⅰ)-catalyzed deoxgenation of fluoroalkylsulfoxides with dimethyl diazomalonate was *** the reaction system,dimethyl diazomalonate was used as reducing reagent and the corresponding fluoroalkylthioethers were produced through oxygen atom transfer from fluoroalkylsulfoxides to *** protocol featuring effective oxygen atom transfer,mild reaction conditions and good functional groups tolerance offers an alternative strategy for the synthesis of fluoroalkylthioethers.

关键词： Fluorine chemistry Trifluoromethylthio Fluoroalkylthio Fluoroalkylsulfoxide Deoxgenation

Synthesis of S-monofluoromethyl phosphorothioates from P^(Ⅴ)-H compounds and PhSO_(2)SCH_(2)F

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Chinese Chemical Letters 2021年第1期32卷 453-456页

作者： Renyi Pang Ruichao Yao Shiyao Lu yicheng zhou Wenbo Chen Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China CAS Key Laboratory of Energy Regulation Materials Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

S-Monofluoromethyl phosphorothioates represent an important class of organofluorine compounds and are re ported here for the first time.A series of S-monofluoromethyl phosphorothioates are conveniently synthesized from different P^(Ⅴ)-H compounds and PhSO_(2)SCH_(2)F under mild *** method is compatible with common functional groups and provides potential opportunities to synthesize new bioactive molecules for medicinal chemistry.

关键词： Fluorine Monofluoromethylthio Phosphorothioates P^(Ⅴ)-H compounds PhSO_(2)SCH_(2)F

Impact of EV load uncertainty on optimal planning for electric vehicle charging station

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Science China(Technological Sciences) 2021年第11期64卷 2469-2476页

作者： LONG YiLin LI Yong WANG YaHui CAO YiJia JIANG Lin zhou yicheng DENG YouYue NAKANISHI Yosuke College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Department of Electrical Engineering and Electronics University of LiverpoolLiverpool L693BXUK Graduate School of Environment and Energy Engineering Waseda UniversityTokyo 169-8050Japan

With the development of electric vehicles(EV), there is a huge demand for electric vehicle charging stations(EVCS). The utilization of renewable energy sources(RES) in EVCS can not only decrease the energy fluctuation by participating in peakload reduction of the grid, but also reduce the pollution to the environment by cutting down the use of fossil fuels. In this paper,the optimal planning for grid-connected EVCS with RES is studied by considering EV load uncertainty. Nine scenarios are set based on a different characteristic of EV load to reveal the impact of EV load on net present cost(NPC) and to express the relationship between the optimal capacity and energy flow. Moreover, since electricity price also plays an important role in EVCS planning, an economic comparison between different cases with different electricity prices for peak-valley-flat period is carried out. The results reveal the economic benefits of applying RES in EVCS, and demonstrate that EV load with different characteristics would influence the capacity of each device(PV, battery, converter) in the EVCS optimal planning.

关键词： electric vehicle charging station renewable energy optimal planning load uncertainty

Carrier dynamic identification enables wavelength and intensity sensitivity in perovskite photodetectors

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Light(Science & Applications) 2024年第11期13卷 2824-2834页

作者： Liangliang Min yicheng zhou Haoxuan Sun Linqi Guo Meng Wang Fengren Cao Wei Tian Liang Li School of Physical Science and Technology Jiangsu Key Laboratory of Frontier Material Physics and DevicesCenter for Energy Conversion Materials&Physics(CECMP)Soochow UniversitySuzhouChina College of Physical Science and Technology&Microelectronics Industry Research Institute Yangzhou UniversityYangzhouChina

Deciphering the composite information within a light field through a single photodetector,without optical and mechanical structures,is *** difficulty lies in extracting multi-dimensional optical information from a single dimension of *** photodetectors based on information reconstruction have potential,yet they only extract information contained in the photoresponse current amplitude(responsivity matrix),neglecting the hidden information in response edges driven by carrier ***,by adjusting the thickness of the absorption layer and the interface electric field strength in the perovskite photodiode,we extend the transport and relaxation time of carriers excited by photons of different wavelengths,maximizing the spectrum richness of the edge waveform in the light-dark transition *** the first time,without the need for extra optical and electrical components,the reconstruction of two-dimensional information of light intensity and wavelength has been *** the integration of machine learning algorithms into waveform data analysis,a wide operation spectrum range of 350–750 nm is available with a 100%accuracy *** restoration error has been lowered to less than 0.1%for light *** work offers valuable insights for advancing perovskite applications in areas such as wavelength identification and spectrum imaging.

关键词： intensity spectrum enable

MicroGrid Designer:user-friendly design,operation and control assist tools for resilient microgrid and autonomous community

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Global Energy Interconnection 2022年第3期5卷 249-258页

作者： Ryuichi Yokoyama yicheng zhou Energy and Environment and Technology Research Institute and Waseda University 1-22-2 Nishi-Waseda ShinjukuNishi-Waseda East Wing 106Tokyo169-0051Japan

During this decade,many countries have experienced natural and accidental disasters,such as typhoons,floods,earthquakes,and nuclear plant accidents,causing catastrophic damage to *** the end of 2019,all countries of the world are struggling with the COVID-19 and pursuing countermeasures,including inoculation of vaccine,and changes in our lifestyle and social *** these experiences have made the residents in the affected regions keenly aware of the need for new infrastructures that are resilient and autonomous,so that vital lifelines are secured during calamities.A paradigm shift has been taking place toward reorganizing the energy social service management in many countries,including Japan,by effective use of sustainable energy and new supply ***,such new power sources and supply schemes would affect the power grid through intermittency of power output and the deterioration of power quality and ***,new social infrastructures and novel management systems to supply energy and social service will be *** this paper,user-friendly design,operation and control assist tools for resilient microgrids and autonomous communities are proposed and applied to the standard microgrid to verify its effectiveness and performance.

关键词： Microgrid Autonomous community Grid design and analysis Resilience Unit commitment Economic load dispatch Load frequency control Dynamic power flow Energy management system

Grating-free 2.8μm Er:ZBLAN fiber chirped pulse amplifier

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High Power Laser Science and Engineering 2022年第6期10卷 60-65页

作者： yicheng zhou Zhipeng Qin Xiabing zhou Guoqiang Xie School of Physics and Astronomy Key Laboratory for Laser Plasmas(Ministry of Education)Collaborative Innovation Center of IFSA(CICIFSA)Shanghai Jiao Tong UniversityShanghaiChina

We report on a grating-free fiber chirped pulse amplifier(CPA)at 2.8μm for the first *** CPA system adopted Er:ZBLAN fiber with large anomalous dispersion as the stretcher and germanium(Ge)rods as the compressor with a compact ***-energy picosecond pulses of 2.07μJ were generated at the repetition rate of 100 *** highly dispersive Ge rods,the amplified pulses were compressed to 408 fs with a pulse energy of 0.57μJ,resulting in a peak power of approximately 1.4 MW.A spectral broadening phenomenon in the main amplifier was observed,which was caused by the special gain shape of the Er:ZBLAN fiber amplifier in operation and confirmed by our numerical *** compact fiber CPA system at 2.8μm will be practical and meaningful for application fields.

关键词： Er:ZBLAN fiber fiber chirped pulse amplifier grating free mid-infrared

Neuronal degeneration in the hippocampus and dorsolateral prefrontal cortex in depressive disorder Correlation between ~1H-MRS and Minnesota Multiphasic Personality Inventory

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Neural Regeneration Research 2010年第20期5卷 1587-1591页

作者： Jun Xia Minjie Yang Yi Lei yicheng zhou Department of Radiology Second People's Hospital of Shenzhen City Shenzhen 518035 Guangdong Province China Department of Radiology Shenzhen People's Hospital Shenzhen 518020 Guangdong Province China Department of Radiology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 Hubei Province China

Previous studies using magnetic resonance imaging（MRI）and functional MRI to study depression have primarily focused on proton magnetic resonance spectroscopy（1H-MRS）appearance in various areas of the brain and volume measurements in the limbic ***,results have not been *** the best of our knowledge,very little is known about the relationship between 1H-MRS appearance and depression *** the present study,the relationship between 1H-MRS appearance in depressive patients and Minnesota Multiphasic Personality Inventory-2 scale was *** and 1H-MRS exhibited widened sulci and cisterns,as well as an absence of abnormal signals in depressive *** addition,N-acetyl aspartate/total creatine ratios in bilateral hippocampi and dorsolateral prefrontal cortex were significantly less in depressive patients than in control subjects（P 〈 0.01）.In contrast,choline-containing compounds/total creatine ratios in the dorsolateral prefrontal cortex were significantly greater in depressive patients than in control subjects（P 〈 0.01）.These ratios significantly and positively correlated with patient total depression scores as assessed using the Minnesota Multiphasic Personality Inventory-2 scale（r=0.934 7,0.878 7,P 〈 0.01）.These results suggested that 1H-MRS could be used to reveal a reduced number of neurons in the hippocampus and dorsolateral prefrontal cortex,as well as altered membrane phospholipid metabolism in the dorsolateral prefrontal cortex,in patients with depressive *** mechanisms partially reflected severity of depressive disorder.

关键词： depressive disorder proton magnetic resonance spectroscopy hippocampus dorsolateral prefrontal cortex Minnesota Multiphasic Personality Inventory