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Remote Observations in China’s Ramsar Sites: Wetland dynamics, Anthropogenic Threats, and Implications for Sustainable development Goals

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Journal of Remote Sensing 2021年第1期2021卷 319-331页

作者： d.mao Z.Wang Y.Wang C.-Y.Choi M.Jia M.V.Jackson R.A.Fuller Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China National Earth System Science data Center BeijingChina department of Natural Resources Sciences University of Rhode IslandKingstonRI 02881USA School of Environmental Science and Engineering College of EngineeringSouthern University of Science and TechnologyShenzhen 518055China School of Biological Sciences The University of QueenslandBrisbaneAustralia

The Ramsar Convention on Wetlands is an international framework through which countries identify and protect important *** Ramsar wetlands are under substantial anthropogenic pressure worldwide,and tracking ecological change relies on multitemporal data ***,we evaluated the spatial extent,temporal change,and anthropogenic threat to Ramsar wetlands at a national scale across China to determine whether their management is currently *** analyzed Landsat data to examine wetland dynamics and anthropogenic threats at the 57 Ramsar wetlands in China between 1980 and *** reveal that Ramsar sites play important roles in preventing wetland loss compared to the dramatic decline of wetlands in the surrounding ***,there are declines in wetland area at 18 Ramsar *** those,six lost a wetland area greater than 100 km^(2),primarily caused by agricultural *** expansion of anthropogenic land covers occurred within 43(75%)Ramsar sites,and anthropogenic threats from land cover change were particularly notable in eastern *** pond expansion and Spartina alterniflora invasion were prominent threats to coastal Ramsar *** observations within China’s Ramsar sites,which in management regulations have higher levels of protection than other wetlands,can help track progress towards achieving United Nations Sustainable development Goals(SdGs).The study findings suggest that further and timely actions are required to control the loss and degradation of wetland ecosystems.

关键词： Sustainable threat wetland

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Mitophagy in acute central nervous system injuries:regulatory mechanisms and therapeutic potentials

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Neural Regeneration Research 2025年第9期20卷 2437-2453页

作者： Siyi Xu Junqiu Jia Rui mao Xiang Cao Yun Xu department of Neurology Nanjing Drum Tower HospitalClinical College of Jiangsu UniversityNanjingJiangsu ProvinceChina department of Neurology Nanjing Drum Tower HospitalChinese Academy of Medical Science&Peking Union Medical CollegeNanjingJiangsu ProvinceChina department of Neurology Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjingJiangsu ProvinceChina State Key Laboratory of Pharmaceutical Biotechnology and Institute of Translational Medicine for Brain Critical diseases Nanjing UniversityNanjingJiangsu ProvinceChina Jiangsu Key Laboratory for Molecular Medicine Medical School of Nanjing UniversityNanjingJiangsu ProvinceChina Nanjing Neurology Medical Center NanjingJiangsu ProvinceChina

Acute central nervous system injuries,including ischemic stro ke,intracerebral hemorrhage,subarachnoid hemorrhage,traumatic brain injury,and spinal co rd injury,are a major global health *** optimal therapies and improving the long-term neurological functions of patients with acute central nervous system injuries are urgent *** are susceptible to damage after acute central nervous system injury,and this leads to the release of toxic levels of reactive oxygen species,which induce cell ***,a selective form of autophagy,is crucial in eliminating redundant or damaged mitochondria during these *** evidence has highlighted the significant role of mitophagy in acute central nervous system *** this review,we provide a comprehensive overview of the process,classification,and related mechanisms of *** also highlight the recent developments in research into the role of mitophagy in various acute central nervous system injuries and drug therapies that regulate *** the final section of this review,we emphasize the potential for treating these disorders by focusing on mitophagy and suggest future research paths in this area.

关键词： autophagy intracerebral hemorrhage ischemic stroke mitochondria mitochondrial biogenesis mitochondrial quality control mitophagy spinal cord injury subarachnoid hemorrhage traumatic brain injury

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AAV mediated carboxyl terminus of Hsp70 interacting protein overexpression mitigates the cognitive and pathological phenotypes of APP/PS1 mice

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Neural Regeneration Research 2025年第1期20卷 253-264页

作者： Zhengwei Hu Jing Yang Shuo Zhang Mengjie Li Chunyan Zuo Chengyuan mao Zhongxian Zhang Mibo Tang Changhe Shi Yuming Xu department of Neurology The First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouHenan ProvinceChina Academy of Medical Sciences of Zhengzhou University ZhengzhouHenan ProvinceChina NHC Key Laboratory of Prevention and treatment of Cerebrovascular diseases The First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouHenan ProvinceChina Henan Key Laboratory of Cerebrovascular diseases The First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouHenan ProvinceChina Institute of Neuroscience Zhengzhou UniversityZhengzhouHenan ProvinceChina Sino-British Research Centre for Molecular Oncology National Centre for International Research in Cell and Gene TherapySchool of Basic Medical SciencesAcademy of Medical SciencesZhengzhou UniversityZhengzhouHenan ProvinceChina department of Gerontology The First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouHenan ProvinceChina

The E3 ubiquitin ligase,carboxyl terminus of heat shock protein 70(Hsp70)interacting protein(CHIP),also functions as a co-chaperone and plays a crucial role in the protein quality control *** this study,we aimed to investigate the neuroprotective effect of overexpressed CHIP on Alzheimer’s *** used an adeno-associated virus vector that can cross the blood-brain barrier to mediate CHIP overexpression in APP/PS1 mouse *** overexpression significantly ameliorated the performance of APP/PS1 mice in the Morris water maze and nest building tests,reduced amyloid-βplaques,and decreased the expression of both amyloid-βand phosphorylated *** also alleviated the concentration of microglia and astrocytes around *** APP/PS1 mice of a younger age,CHIP overexpression promoted an increase in AdAM10 expression and inhibitedβ-site APP cleaving enzyme 1,insulin degrading enzyme,and neprilysin *** of HSP70 and HSP40,which have functional relevance to CHIP,were also *** nuclei transcriptome sequencing in the hippocampus of CHIP overexpressed mice showed that the lysosomal pathway and oligodendrocyte-related biological processes were up-regulated,which may also reflect a potential mechanism for the neuroprotective effect of *** research shows that CHIP effectively reduces the behavior and pathological manifestations of APP/PS1 ***,overexpression of CHIP could be a beneficial approach for the treatment of Alzheimer’s disease.

关键词： adeno-associated virus Alzheimer’s disease APP/PS1 mice carboxyl terminus of Hsp70 interacting protein gene therapy

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Inhibition of the NLRP3 inflammasome attenuates spiral ganglion neuron degeneration in aminoglycoside-induced hearing loss

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Neural Regeneration Research 2025年第10期20卷 3025-3039页

作者： Jia Fang Zhuangzhuang Li Pengjun Wang Xiaoxu Zhang Song mao Yini Li dongzhen Yu Xiaoyan Li Yazhi Xing Haibo Shi Shankai Yin department of Otolaryngology Head and Neck Surgery Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineOtolaryngology Institute of Shanghai Jiao Tong UniversityShanghai Key Laboratory of Sleep Disordered BreathingShanghaiChina department of Otorhinolaryngology-Head and Neck Surgery Shanghai Children’s HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina

Aminoglycosides are a widely used class of antibacterials renowned for their effectiveness and broad antimicrobial ***,their use leads to irreversible hearing damage by causing apoptosis of hair cells as their direct *** addition,the hearing damage caused by aminoglycosides involves damage of spiral ganglion neurons upon *** investigate the mechanisms underlying spiral ganglion neuron degeneration induced by aminoglycosides,we used a C57BL/6J mouse model treated with *** found that the mice exhibited auditory deficits following the acute loss of outer hair *** ganglion neurons displayed hallmarks of pyroptosis and exhibited progressive degeneration over *** profiling of these neurons showed significant upregulation of genes associated with inflammation and immune response,particularly those related to the NLRP3 *** of the canonical pyroptotic pathway in spiral ganglion neurons was observed,accompanied by infiltration of macrophages and the release of proinflammatory *** intervention targeting NLRP3 using Mcc950 and genetic intervention using NLRP3 knockout ameliorated spiral ganglion neuron degeneration in the injury *** findings suggest that NLRP3 inflammasome-mediated pyroptosis plays a role in aminoglycoside-induced spiral ganglion neuron *** of this pathway may offer a potential therapeutic strategy for treating sensorineural hearing loss by reducing spiral ganglion neuron degeneration.

关键词： degeneration hearing loss macrophages Mcc950 neuroinflammation NLRP3 inflammasome ototoxicity pyroptosis sensorineural hearing loss spiral ganglion neuron

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Intelligent Voltage Control Method in Active distribution Networks Based on Averaged Weighted double deep Q-network Algorithm

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 132-143页

作者： Yangyang Wang Meiqin mao Liuchen Chang Nikos d.Hatziargyriou Research Center for Photovoltaic System Engineering Ministry of EducationSchool of Electrical Engineering and AutomationHefei University of TechnologyHefei 230009China University of New Brunswick FrederictonNB E3B 5A3Canada National Technical University of Athens Athens 15780Greece IEEE

High penetration of distributed renewable energy sources and electric vehicles(EVs)makes future active distribution network(AdN)highly *** characteristics put great challenges to traditional voltage control *** control based on the deep Q-network(dQN)algorithm offers a potential solution to this problem because it possesses humanlevel control ***,the traditional dQN methods may produce overestimation of action reward values,resulting in degradation of obtained *** this paper,an intelligent voltage control method based on averaged weighted double deep Q-network(AWddQN)algorithm is proposed to overcome the shortcomings of overestimation of action reward values in dQN algorithm and underestimation of action reward values in double deep Q-network(ddQN)*** the proposed method,the voltage control objective is incorporated into the designed action reward values and normalized to form a Markov decision process(MdP)model which is solved by the AWddQN *** designed AWddQN-based intelligent voltage control agent is trained offline and used as online intelligent dynamic voltage regulator for the *** proposed voltage control method is validated using the IEEE 33-bus and 123-bus systems containing renewable energy sources and EVs,and compared with the dQN and ddQN algorithms based methods,and traditional mixed-integer nonlinear program based *** simulation results show that the proposed method has better convergence and less voltage volatility than the other ones.

关键词： Averaged weighted double deep Q-network(AWddQN) deep Q learning active distribution network(AdN) voltage control electrical vehicle(EV)

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Schedulable capacity forecasting for electric vehicles based on big data analysis

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Journal of Modern Power Systems and Clean Energy 2019年第6期7卷 1651-1662页

作者： Meiqin mao Shengliang ZHANG Liuchen CHANG Nikos d.HATZIARGYRIOU Research Center for Photovoltaic System Engineering School of Electrical Engineering and AutomationHefei University of TechnologyHefei 230009China University of New Brunswick FrederictonNB E3B 5A3Canada National Technical University of Athens 15780 AthensGreece

Fast and accurate forecasting of schedulable capacity of electric vehicles(EVs)plays an important role in enabling the integration of EVs into future smart grids as distributed energy storage *** methods are insufficient to deal with large-scale actual schedulable capacity *** paper proposes forecasting models for schedulable capacity of EVs through the parallel gradient boosting decision tree algorithm and big data analysis for multi-time *** time scale of these data analysis comprises the real time of one minute,ultra-short-term of one hour and one-day-ahead scale of 24 *** predicted results for different time scales can be used for various ancillary *** proposed algorithm is validated using operation data of 521 EVs in the *** results show that compared with other machine learning methods such as the parallel random forest algorithm and parallel k-nearest neighbor algorithm,the proposed algorithm requires less training time with better forecasting accuracy and analytical processing ability in big data environment.

关键词： Electric vehicle(EV) Schedulable capacity Machine learning Big data Multi-time scale

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EFFECT OF GRAIN REFINING ON PRIMARYαPHASE IN SEMI-SOLId A356 ALLOY PREPAREd BY LOW SUPERHEAT POURING ANd SLIGHT ELECTROMAGNETIC STIRRING

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Acta Metallurgica Sinica(English Letters) 2008年第1期21卷 57-64页

作者： Z. Liu W.M. mao Z.d. Zhao Faculty of Material and Chemical Engineering Jiangxi University of Science and Technology Ganzhou 341000 China School of Material Science and Engineering University of Science ＆ Technology Beijing Beijing 100083 China

The semi-solid slurry of A356 alloy, which is grain-refined by Al-Ti-B master alloy, is prepared by low superheat pouring and slight electromagnetic stirring. The effects of grain refining on the morphology and the grain size of the primary α phase in the slurry manufactured are researched. The results indicate that the slurry with particle-like and rosette-like primary α phases can be prepared by low superheat pouring and slight electromagnetic stirring from liquid A356 alloy grain-refined, in which the pouring temperature can be suitably raised. Compared with the A356 samples without grain refining, the grain size and particle morphology of primary α phase as well as the distribution of the grain with particle-like or rosette-like along radial in the ingot in A356 are markedly improved by grain refining.

关键词： Semi-solid Grain-refined Low superheat pouring Slight electromagnetic stirring A356 alloy Al-Ti-B

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Experiments and modelling of phenanthrene biodegradation in the aqueous phase by a mixed culture

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Journal of Environmental Sciences 2006年第1期18卷 147-153页

作者： LIU Xiang mao Xiao-min YANG Jian-gang d.A. Barry LI Ling department of Environmental Science and Engineering Tsinghua University Beijing 100084 China Contaminated Land Assessment and Remediation Research Centre Institute for Infrastructure and Environment School of Engineering and Electronics The University of Edinburgh Edinburgh EH9 3JL United Kingdom Chinese Academy of Transportation Sciences Ministry of Communications Beijing 100029 China Environmental Engineering division School of Engineering the University of Queensland St. Lucia QLD 4072 Australia Centre for Eco-Environmental Modelling Hohai University Nanjing 210098. China

Pollution by polycyclic aromatic hydrocarbons（PAHs） is widespread due to tmsuitable disposal of industrial waste. They are mostly defined as priority pollutants by environmental protection authorities worldwide. Phenanthrene, a typical PAH, was selected as the target in this paper. The PAH-degrading mixed culture, named ZM, was collected from a petroleum contaminated river bed. This culture was injected into phenanthrene solutions at different concentrations to quantify the biodegradation process. Results show near-complete removal of phenanthrene in three days of biodegradation if the initial phenanthrene concentration is low. When the initial concentration is high, the removal rate is increased but 20%-40% of the phenanthrene remains at the end of the experiment. The biomass shows a peak on the third day due to the combined effects of microbial growth and decay. Another peak is evident for cases with a high initial concentration, possibly due to production of an intermediate metabolite. The pH generally decreased during biodegradation because of the production of organic acid. Two phenomenological models were designed to simulate the phenanthrene biodegradation and biomass growth. A relatively simple model that does not consider the intermediate metabolite and its inhibition of phenanthrene biodegradation cannot fit the observed data. A modified Monod model that considered an intermediate metabolite （organic acid） and its inhibiting reversal effect reasonably depicts the experimental results.

关键词： biodegradation model phenanthrene microbial growth and decay Monod growth model

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Nonlinear perturbation developments in flow around a vibrating cylinder

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Journal of Hydrodynamics 2021年第6期33卷 1129-1138页

作者： Jian deng Xuerui mao State Key Laboratory of Fluid Power and Mechatronic Systems Department of MechanicsZhejiang UniversityHangzhou 310027China Faculty of Engineering University of NottinghamNottinghamUK

We investigate the flow around a circular cylinder vibrating with a prescribed magnitude and frequency at Reynolds number *** Navier-stokes equations and the adjoint equations are solved to search for the 3-d nonlinear optimal initial perturbation,which is amplified by the attached shear via the Orr mechanism and then activates wake *** energy growth and the spanwise distributions of the nonlinear optimal perturbation vary significantly with the initial phase to introduce the *** the initial perturbation energy increases,linear amplification,nonlinear saturation and nonlinear growth are sequently *** last one is owing to the generation of a spanwise homogeneous mode,which modifies the pressure distributions on the cylinder surface and induces an extra lift ***,at all the initial phases,this force is opposite to the acceleration of the cylinder,illustrating the potential to reduce the magnitude of vibration.

关键词： Vortex induced vibration nonlinear optimal perturbation Orr mechanism

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Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutions

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Applied Mathematics and Mechanics(English Edition) 2023年第7期44卷 1069-1084页

作者： Zhiping mao Xuhui MENG School of Mathematical Sciences Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific ComputingXiamen UniversityXiamen 361005Fujian ProvinceChina Institute of Interdisciplinary Research for Mathematics and Applied Science School of Mathematics and StatisticsHuazhong University of Science and TechnologyWuhan 430074China

We consider solving the forward and inverse partial differential equations(PdEs)which have sharp solutions with physics-informed neural networks(PINNs)in this *** particular,to better capture the sharpness of the solution,we propose the adaptive sampling methods(ASMs)based on the residual and the gradient of the *** first present a residual only-based ASM denoted by ASMⅠ.In this approach,we first train the neural network using a small number of residual points and divide the computational domain into a certain number of sub-domains,then we add new residual points in the sub-domain which has the largest mean absolute value of the residual,and those points which have the largest absolute values of the residual in this sub-domain as new residual *** further develop a second type of ASM(denoted by ASMⅡ)based on both the residual and the gradient of the solution due to the fact that only the residual may not be able to efficiently capture the sharpness of the *** procedure of ASMⅡis almost the same as that of ASMⅠ,and we add new residual points which have not only large residuals but also large *** demonstrate the effectiveness of the present methods,we use both ASMⅠand ASMⅡto solve a number of PdEs,including the Burger equation,the compressible Euler equation,the Poisson equation over an Lshape domain as well as the high-dimensional Poisson *** has been shown from the numerical results that the sharp solutions can be well approximated by using either ASMⅠor ASMⅡ,and both methods deliver much more accurate solutions than the original PINNs with the same number of residual ***,the ASMⅡalgorithm has better performance in terms of accuracy,efficiency,and stability compared with the ASMⅠ*** means that the gradient of the solution improves the stability and efficiency of the adaptive sampling procedure as well as the accuracy of the ***,we also employ the similar adaptive sampling technique fo

关键词： physics-informed neural network(PINN) adaptive sampling high-dimension L-shape Poisson equation accuracy

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