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| 1 | Characteristics of sedimentation and channel adjustment linked to the Three Gorges Reservoir显示文摘Construction of large dams is attractive because of their great benefits in flood control,hydropower generation,water resources utilization,navigation improvement,etc.However,dam construction may bring some negative impacts on sediment transport and channel dynamics adjustments.Due to the effects of recent water and soil conservation projects,sediment retention in the newly constructed large upstream reservoirs,and other factors,the sedimentation in the Three Gorges Reservoir(TGR)is quite different from the amount previously predicted in the demonstration stage.Consequently,based on the measured data,characteristics of sedimentation and the related channel deformation in the TGR were analyzed.The results imply that sediment transport tended to be reduced after the Three Gorges Project(TGP).Sedimentation slowed dramatically after 2013 and indicated obvious seasonal characteristics.Due to the rising water level in the TGR in the flood season,the yearly sediment export ratio(Eratio)was prone to decrease.The water level near the dam site should be reasonably regulated according to the flow discharge to improve the sediment delivery capacity and reduce sedimentation in the TGR,and to try to avoid situations where the flood retention time is close to 444 h.The depositional belt was discontinuous in the TGR and was mainly distributed in the broad reaches,and only slight erosion or deposition occurred in the gorge reaches.Sedimentation in the broad and gorge reaches accounted for 93.8% and 6.2% of the total sedimentation,respectively.The estuarine reach located in the fluctuating backwater area experienced alternate erosion-deposition,with a slight accumulative deposition in the curved reach.Sedimentation mainly occurred in the perennial backwater area.The insight gained in this study can be conducive to directly understanding of large reservoir sedimentation and mechanism of channel adjustment in the reservoir region in the main channel of large river. | Xiaoya Tang Sichen Tong Guoxian Huang Guangxiang Xu Xinghua Li Kun Lei Shiming Yao | 2021 | International Journal of Sediment Research2021，36，2： | 3 |
| 2 | An Outbreak of the SARS-CoV-2 Omicron Variant BA.1—Zhuhai City,Guangdong Province,China,January 13,2022显示文摘On January 13,2022,Zhuhai CDC received a notification that a coronavirus disease 2019(COVID-19)case was found in the fever clinic in nearby Zhongshan City.Zhuhai CDC promptly carried out large-scale population screening in three nearby counties.A total of 4 COVID-19 cases were found in Nanping County.34 cases were screened from close contacts,and 2 cases were reported from close contacts in other cities of Guangdong Province.The 20 cases were sequenced by Guangdong CDC and identified as the variant of concern(VOC)/Omicron variant BA.1.Since January 14,Zhuhai has carried out 8 rounds of nucleic acid screening for COVID-19 in the county where the cases occurred.Four large-scale nucleic acid screening tests for COVID-19 were conducted across the city,and no new community cases were reported after January 15. | Feng Ruan Xuebao Zhang Songjian Xiao Xihe Ni Xiling Yin Zhongwen Ye Guorong Chen Tingting Zhu Zeling Chen Gang Yao Long Chen Sichen Huang Huitao Huang Yi Zhou Heyan Wu Hui Huang Kejing Zhu Shanzi Huang Xiaoou Tang Min Kang Bosheng Li Wenhua Mei | 2022 | China CDC weekly2022，4，30： | 2 |
| 3 | Recent Advances in Two-Dimensional Magnets:Physics and Devices towards Spintronic Applications显示文摘The emergence of low-dimensional nanomaterials has brought revolutionized development of magnetism,as the size effect can significantly influence the spin arrangement.Since the first demonstration of truly two-dimensional magnetic materials(2DMMs)in 2017,a wide variety of magnetic phases and associated properties have been exhibited in these 2DMMs,which offer a new opportunity to manipulate the spin-based devices efficiently in the future.Herein,we focus on the recent progress of 2DMMs and heterostructures in the aspects of their structural characteristics,physical properties,and spintronic applications.Firstly,the microscopy characterization of the spatial arrangement of spins in 2D lattices is reviewed.Afterwards,the optical probes in the light-matter-spin interactions at the 2D scale are discussed.Then,particularly,we systematically summarize the recent work on the electronic and spintronic devices of 2DMMs.In the section of electronic properties,we raise several exciting phenomena in 2DMMs,i.e.,long-distance magnon transport,field-effect transistors,varying magnetoresistance behavior,and(quantum)anomalous Hall effect.In the section of spintronic applications,we highlight spintronic devices based on 2DMMs,e.g.,spin valves,spin-orbit torque,spin field-effect transistors,spin tunneling field-effect transistors,and spin-filter magnetic tunnel junctions.At last,we also provide our perspectives on the current challenges and future expectations in this field,which may be a helpful guide for theorists and experimentalists who are exploring the optical,electronic,and spintronic properties of 2DMMs. | Vertikasari PNingrum Bowen Liu Wei Wang Yao Yin Yi Cao Chenyang Zha Hongguang Xie Xiaohong Jiang Yan Sun Sichen Qin Xiaolong Chen Tianshi Qin Chao Zhu Lin Wang Wei Huang | 2020 | Research2020，，1： | 2 |
| 4 | Electric Vehicle Charging Management Based on Deep Reinforcement Learning显示文摘A time-variable time-of-use electricity price can be used to reduce the charging costs for electric vehicle(EV)owners.Considering the uncertainty of price fluctuation and the randomness of EV owner’s commuting behavior,we propose a deep reinforcement learning based method for the minimization of individual EV charging cost.The charging problem is first formulated as a Markov decision process(MDP),which has unknown transition probability.A modified long short-term memory(LSTM)neural network is used as the representation layer to extract temporal features from the electricity price signal.The deep deterministic policy gradient(DDPG)algorithm,which has continuous action spaces,is used to solve the MDP.The proposed method can automatically adjust the charging strategy according to electricity price to reduce the charging cost of the EV owner.Several other methods to solve the charging problem are also implemented and quantitatively compared with the proposed method which can reduce the charging cost up to 70.2%compared with other benchmark methods. | Sichen Li Weihao Hu Di Cao Tomislav Dragicevic Qi Huang Zhe Chen Frede Blaabjerg | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，3： | 2 |
| 5 | Black titanium dioxide nanomaterials for photocatalytic removal of pollutants:A review显示文摘Semiconductor photocatalysis is one of the most widely used environment-friendly technologies for removing various contaminants.As a well-developed photocatalyst,titanium dioxide(TiO_(2))still has limits in its wide bandgap and rapid recombination rate of photogenerated charge carriers.Recently,black TiO_(2)appears as a strong candidate in the improvement of sunlight harvesting,because of its excellent absorption capacity and utilization of solar radiation.Despite extensive applications in both environmental and energy fields,the use of black TiO_(2)as a photocatalyst in pollutant removal is ambiguous.The primary objective of the review is to comprehensively evaluate the applications of black TiO_(2)in photocatalytic removal of contaminants,including conventional organic contaminants,emerging contaminants,microbes,and heavy metals.The basic properties,photocatalytic mechanism,and synthesis of black TiO_(2)have been summarized and analyzed.Moreover,the stability and recoverability of black TiO_(2)have also been discussed.Finally,the perspectives of the application of black TiO_(2)in pollutant removal have been further discussed. | Ying Liang Guohe Huang Xiaying Xin Yao Yao Yongping Li Jianan Yin Xiang Li Yuwei Wu Sichen Gao | 2022 | Journal of Materials Science & Technology2022，，17： | 1 |
| 6 | Shen Qi Wan attenuates renal interstitial fibrosis through upregulating AQP1显示文摘Renal interstitial fibrosis(RIF)is the crucial pathway in chronic kidney disease(CKD)leading to the end-stage renal failure.However,the underlying mechanism of Shen Qi Wan(SQW)on RIF is not fully understood.In the current study,we investigated the role of Aquaporin 1(AQP1)in SQW on tubular epithelial-to-mesenchymal transition(EMT).A RIF mouse model induced by adenine and a TGF-β1-stimulated HK-2 cell model were etablished to explore the involvement of AQP 1 in the protective effect of SQW on EMT in vitro and in vivo.Subsequently,the molecular mechanism of SQW on EMT was explored in HK-2 cells with AQP1 knockdown.The results indicated that SQW alleviated kidney injury and renal collagen deposition in the kidneys of mice induced by adenine,increased the protein expression of E-cadherin and AQP1 expression,and decreased the expression of vimentin andα-smooth muscle actin(α-SMA).Similarly,treatmement with SQW-containing serum significantly halted EMT process in TGF-β1 stimulated HK-2 cells.The expression of snail and slug was significantly upregulated in HK-2 cells after knockdown of AQP1.AQP1 knockdown also increased the mRNA expression of vimentin andα-SMA,and decreased the expression of E-cadherin.The protein expression of vimentin increased,while the expression of E-cadherin and CK-18 significantly decreased after AQP1 knockdown in HK-2 cells.These results revealed that AQP1 knockdown promoted EMT.Furthermore,AQP1 knockdown abolished the protective effect of SQW-containing serum on EMT in HK-2 cells.In sum,SQW attentuates EMT process in RIF through upregulation of the expression of AQP1. | LIN Yiyou WEI Jiale ZHANG Yehui HUANG Junhao WANG Sichen LUO Qihan YU Hongxia JI Liting ZHOU Xiaojie LI Changyu | 2023 | Chinese Journal of Natural Medicines2023，21，5： | 1 |
| 7 | Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning显示文摘The multi-directional flow of energy in a multi-microgrid(MMG) system and different dispatching needs of multiple energy sources in time and location hinder the optimal operation coordination between microgrids. We propose an approach to centrally train all the agents to achieve coordinated control through an individual attention mechanism with a deep dense neural network for reinforcement learning. The attention mechanism and novel deep dense neural network allow each agent to attend to the specific information that is most relevant to its reward. When training is complete, the proposed approach can construct decisions to manage multiple energy sources within the MMG system in a fully decentralized manner. Using only local information, the proposed approach can coordinate multiple internal energy allocations within individual microgrids and external multilateral multi-energy interactions among interconnected microgrids to enhance the operational economy and voltage stability. Comparative results demonstrate that the cost achieved by the proposed approach is at most 71.1% lower than that obtained by other multi-agent deep reinforcement learning approaches. | Sichen Li Di Cao Weihao Hu Qi Huang Zhe Chen Frede Blaabjerg | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，5： | 0 |
| 8 | Fabrication of 3D hollow acorn-shell-like PtBi intermetallics via a surfactant-free pathway for efficient ethylene glycol electrooxidation显示文摘The synthesis of atomically ordered Pt-based intermetallic electrocatalysts for the direct alcohol fuel cells generally requires the addition of surfactants or the high-temperature annealing.However,some residual surfactants on the surface of the assynthesized catalysts would prevent the exposure of catalytic active sites,the high-temperature annealing process is easy to accelerate the sintering of the metal,which both lead to the decline of electrocatalytic performance.Herein,we construct the atomically ordered bimetallic PtBi intermetallics with clean surfaces and unique three-dimensional hollow acorn-shell-like structure(3D PtBi HASL)by a simple,low-temperature,surfactant-free one-pot synthetic approach.Benefiting from the special hollow structures,the obtained 3D PtBi HASL intermetallics expose abundant accessible active sites.Moreover,the introduction of oxophilic metal Bi can enhance adsorption of OHads,thereby significantly facilitating removal of poisoned intermediates.Density functional theory(DFT)simulations further indicate that formation of the PtBi intermetallic phase with the downshift of the Pt d-band center endows 3D Pt49.4Bi50.6 HASL intermetallics with significantly attenuated COads and enhanced OHads adsorption,bringing about the boosting electrocatalytic property.The mass activity of the 3D Pt49.4Bi50.6 HASL intermetallics for ethylene glycol oxidation reaction is as high as 24.67 A·mgPt^(−1),which is 12.98 times higher than that of commercial Pt/C(1.90 A·mgPt^(−1)).This work may inspire the design of Pt-based intermetallics as high-efficiency anode electrocatalysts for fuel cell applications. | Tingting Wan Xin Huang Sichen Li Qiuyu Li Xianlong Yang Zhenjie Sun Dong Xiang Kun Wang Peng Li Manzhou Zhu | 2023 | Nano Research2023，16，5： | 0 |
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