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Nanomaterials-mediated lysosomal regulation:a robust protein-clearance approach for the treatment of Alzheimer’s disease

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Neural Regeneration Research 2025年第2期20卷 424-439页

作者： Mengqi hao Jianjian Chu Tinglin Zhang Tong yin Yuankai Gu Wendanqi Liang Wenbo Ji Jianhua Zhuang Yan Liu Jie gao You yin Department of Neurology Second Affiliated Hospital of Naval Medical University(Shanghai Changzheng Hospital)ShanghaiChina School of Health Science and Engineering University of Shanghai for Science and TechnologyShanghaiChina Changhai Clinical Research Unit Shanghai Changhai HospitalNaval Medical UniversityShanghaiChina Department of Clinical Pharmacy Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Neurology Shanghai East HospitalSchool of MedicineTongji UniversityShanghaiChina

Alzheimer’s disease is a debilitating,progressive neurodegenerative disorder characterized by the progressive accumulation of abnormal proteins,including amyloid plaques and intracellular tau tangles,primarily within the ***,crucial intracellular organelles responsible for protein degradation,play a key role in maintaining cellular *** studies have suggested a link between the dysregulation of the lysosomal system and pathogenesis of neurodegenerative diseases,including Alzheimer’s *** the normal physiological function of lysosomes hold the potential to reduce the pathological burden and improve the symptoms of Alzheimer’s ***,the efficacy of drugs in treating Alzheimer’s disease is limited,with major challenges in drug delivery efficiency and ***,nanomaterials have gained widespread use in Alzheimer’s disease drug research owing to their favorable physical and chemical *** review aims to provide a comprehensive overview of recent advances in using nanomaterials(polymeric nanomaterials,nanoemulsions,and carbon-based nanomaterials)to enhance lysosomal function in treating Alzheimer’s *** review also explores new concepts and potential therapeutic strategies for Alzheimer’s disease through the integration of nanomaterials and modulation of lysosomal *** conclusion,this review emphasizes the potential of nanomaterials in modulating lysosomal function to improve the pathological features of Alzheimer’s *** application of nanotechnology to the development of Alzheimer’s disease drugs brings new ideas and approaches for future treatment of this disease.

关键词： Alzheimer’s disease autophagy dysfunction lysosomal acidification lysosomal system nanomaterials neurodegenerative diseases

Recent progress on non-metallic carbon nitride for the photosynthesis of H_(2)O_(2):Mechanism,modification and in-situ applications

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Chinese Chemical Letters 2025年第1期36卷 165-175页

作者： hao Lv Zhi Li Peng yin Ping Wan Mingshan Zhu College of Environment and Climate Jinan UniversityGuangzhou 511443China Jiading Branch of Shanghai General Hospital Shanghai Jiao Tong University School of MedicineShanghai 201803China Department of Liver Surgery Ren Ji HospitalShanghai Jiao Tong University School of MedicineShanghai 200127China

Photocatalytic hydrogen peroxide(H_(2)O_(2))production has been considered as a promising strategy for H_(2)O_(2)synthesis due to its environmentally *** various photocatalysts,carbon nitride-based materials are excellent candidates for H_(2)O_(2)production because of their excellent visible-light response,low cost and high *** this review,we summarize in detail the research progress on the photocatalytic production of H_(2)O_(2)by carbon ***,we summarize the basic principles of photocatalysis and photocatalytic H_(2)O_(2)***,the classification and modification methods of carbonnitride-based materials are discussed,including morphology modulation,noble metal loading,defect control,heterojunction regulation,molecular structure engineering and elemental ***,the different in-situ applications of H_(2)O_(2)via photosynthesis were discussed,including disinfection and antibiotic resistant genes degradation,organic pollutants degradation,medical applications and fine chemical *** review brings great promise for in-situ H_(2)O_(2)photosynthesis,which is expected to serve as a key component in future applications.

关键词： Carbon nitride Hydrogen peroxide Photocatalysis Applications

Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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Journal of Energy Chemistry 2025年第1期100卷 565-577页

作者： Shuquan Wang Feng gao Zhan Ma hao Tian Yusen Zhang School of Control Science and Engineering Shandong UniversityJinan 250061ShandongChina Key Lab of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061ShandongChina

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

关键词： Lithium-ion battery Battery prognostics Fusion model Convolutional neural network Transfer learning

Investigation of bubbles escape behavior from low basicity mold flux for high-Mn high-Al steels using 3D X-ray microscope

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 102-110页

作者： Qiang Liu Xiang Li Shen Du Ming gao Yanbin yin Jiongming Zhang State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

During the continuous casting process of high-Mn high-Al steels,various types of gases such as Ar need to escape through the top of the *** which,the behavior of bubbles traversing the liquid slag serves as a restrictive link,closely associated with viscosity and the thickness of liquid *** contrast to two-dimensional surface observation,three-dimensional(3D)analysis method can offer a more intuitive,accurate,and comprehensive ***,this study employs a 3D X-ray microscope(3D-XRM)to obtained spatial distribution and 3D morphological characteristics of residual bubbles in mold flux under different basicity of liquid slag,different temperatures,and different holding *** results indicate that as basicity of slag increases from 0.52 to 1.03,temperature increases from 1423 to 1573 K,the viscosity of slag decreases,the floating rate of bubbles *** addition,when holding time increases from 10 to 30 s,the bubbles floating distance increases,and the volume fraction and average equivalent sphere diameter of the bubbles solidified in the mold flux gradually *** one word,increasing the basicity,temperature,and holding time leading to an increase in the removal rate of bubbles especially for the *** findings of bubbles escape behavior provide valuable insights into optimizing low basicity mold flux for high-Mn high-Al steels.

关键词： mold flux low basicity bubbles three-dimensional X-ray microscope viscosity

When AI meets sustainable 6G

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Science China(Information Sciences) 2025年第1期68卷 4-22页

作者： Xiaohu YOU Yongming HUANG Cheng ZHANG Jiaheng WANG hao yin Hequan WU National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories Chinese Academy of Military Science China Information Communication Technologies Group

Sixth-generation(6G) networks are anticipated to achieve transformative advancements, characterized by extreme connectivity, deep integration with artificial intelligence(AI) and sensing, and airground integration. The evolution of 6G exhibits two major trends: ubiquitous intelligence and sustainability. The former aims to embed state-of-the-art AI technology into the 6G network, from the physical layers to applications, while the latter emphasizes reducing energy consumption while enhancing network performance to address environmental concerns. Despite the amazing progress in recent years, AI advancements come with substantial increases in data and computational overhead, posing critical challenges for integrating AI into sustainable 6G networks. First, high energy consumption from large datasets and heavyweight AI models contradicts6G's green goals. Second, the precise collection of large datasets, message delivery latency, and inference delays in AI models pose challenges for real-time tasks in 6G. Third, the uninterpretability and unpredictability of AI models complicate meeting the stringent requirements for controllable transmission in dynamic wireless environments. Addressing these challenges and achieving sustainable 6G with ubiquitous intelligence calls for a revolutionary design of 6G architecture and AI frameworks. To this end, this paper introduces a novel and practical methodology for green, real-time, and controllable 6G native intelligence,starting with knowledge graph(KG) analysis to extract small but critical datasets, followed by the development of distributed lightweight AI models, and the use of digital twins(DTs) to create precise replicas of physical 6G networks. This leads to a pervasive multi-level(PML)-AI framework supported by a task-centric, three-layer 6G architecture. The AI framework operates through non-real-time and real-time cycles, leveraging three key technologies: wireless data KGs for efficient data management,lightweight AI mode

关键词： artificial intelligence sustainable 6G green real-time controllable

Impact of Assimilation of FY-4A GIIRS Three-Dimensional Horizontal Wind Observations on Typhoon Forecasts

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ADVANCES IN ATMOSPHERIC SCIENCES 2025年第3期42卷 467-485页

作者： Wang, hao Han, Wei Li, Jun Chen, hao yin, Ruoying China Meteorol Adm CMA Earth Syst Modeling & Predict Ctr CEMC Beijing 100081 Peoples R China Chinese Acad Meteorol Sci State Key Lab Severe Weather LaSW China Meteorol Adm Beijing 100081 Peoples R China China Meteorol Adm Natl Satellite Meteorol Ctr FYSIC Beijing 100081 Peoples R China Jiangsu Meteorol Observ Nanjing 210008 Peoples R China China Meteorol Adm Key Lab Transportat Meteorol Nanjing 210008 Peoples R China

Measurements from a hyperspectral infrared (HIR) sounder onboard a satellite in geostationary orbit not only provide atmospheric thermodynamic information, but also can be used to infer dynamic information with high temporal resolution. Radiance measurements from the Geostationary Interferometric Infrared Sounder (GIIRS), obtained with 15-min temporal resolution during Typhoon Maria (2018) and 30-min temporal resolution during Typhoon Lekima (2019), were used to derive three-dimensional (3D) horizontal winds by tracking the motion of atmospheric moisture. This work focused on the impact of assimilation of 3D winds on typhoon analyses and forecasts using the operational NWP model of the China Meteorological Administration (CMA-MESO), and improved understanding of the potential benefits of assimilating dynamic information from geostationary sounder data with higher temporal resolution. The standard deviation of the observations minus simulations revealed that the accuracy of the derived 3D winds with 15-min resolution was higher than that of derived winds with 30-min resolution. Experiments showed that the assimilation system can effectively absorb the information of the derived 3D winds, and that dynamic information from clear-sky areas can be transferred to typhoon areas. In typhoon prediction, assimilation of the derived 3D winds had greatest influence on the typhoon track, and less influence on the maximum wind speed. Assimilation of the derived 3D winds reduced the average track error by 17.4% for Typhoon Maria (2018) and by 3.5% for Typhoon Lekima (2019) during their entire 36-h forecasts initiated at different times. Assimilation of GIIRS dynamic information can substantially improve forecasts of heavy precipitation by CMA-MESO. Results indicate that the assimilation of dynamic information from high-temporal-resolution geostationary HIR sounder data adds value for improved numerical weather prediction. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic

关键词： GIIRS 3D horizontal winds typhoon CMA-MESO (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) (sic)(sic)(sic)(sic) (sic)(sic) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)

Identifying Three Shapes of Potential Vorticity Streamers Using Mask R-CNN

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Advances in Atmospheric Sciences 2025年第1期42卷 190-203页

作者： Luqiang hao Zuowei XIE Yuanfa GONG Jinfang yin College of Atmospheric Science Chengdu University of Information TechnologyChengdu 610225China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Potential vorticity(PV)streamers are elongated filaments of high PV intrusions that generally exhibit three distinct shapes:ordinarily southwestward,hook,and treble-clef,each with significant influences on *** PV streamers are most frequent over arid and semi-arid Central Asia in the mid–high *** study applied the Mask Region-based Convolutional Neural Network algorithm(Mask R-CNN)to PV streamers on the dynamical tropopause during the warm season(May to September)over the years 2000–04 to train a weighted variational model capable of identifying these different *** trained model demonstrated a strong ability to distinguish between the three shapes.A climatological analysis of PV streamers over Central Asia spanning 2000 to 2021 revealed an increasingly deep and pronounced reversal of circulation from ordinary to treble-clef *** treble-clef shape featured a PV tower and distinct cut-off low in the troposphere,but the associated upward motions and precipitation were confined within approximately 1200 km to the east of the PV *** the hook-shape PV streamers were linked to a weaker cut-off low,the extent of upward motion and precipitation was nearly double that of the treble-clef *** contrast,the ordinary PV streamer was primarily associated with tropopause Rossby wave breaking and exhibited relatively shallow characteristics,which resulted in moderate upward motion and precipitation to 500 km to its east.

关键词： Rossby wave breaking potential vorticity streamers Mask-RCNN Central Asia dynamical tropopause

Meteorological effects on sources and future projection of nitrogen deposition to lakes in China

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Journal of Environmental Sciences 2025年第5期151卷 100-112页

作者： Cheng Shi hao Guo Xue Qiao Jingsi gao ying Chen Hongliang Zhang Department of Biological and Ecological Engineering Oregon State UniversityCorvallisOR 97331USA State Key Laboratory of Organic Geochemistry Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China Institute of New Energy and Low-carbon Technology Sichuan UniversityChengdu 610065China Engineering Technology Development Center of Urban Water Recycling Shenzhen PolytechnicShenzhen 518055China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health Fudan UniversityShanghai 200438China

Lake ecosystems are extremely sensitive to nitrogen growth,which leads to water quality degradation and ecosystem health *** depositions,as one of the main sources of nitrogen in water,are expected to change under future climate change ***,it remains not clear how nitrogen deposition to lakes respond to future meteorological *** this study,a source-oriented version of Community Multiscale Air Quality(CMAQ)Model was used to estimate nitrogen deposition to 263 lakes in 2013 and under three RCP scenarios(4.5,6.0 and 8.5)in *** total deposition of 58.2 Gg nitrogen was predicted for all lakes,with 23.3 Gg N by wet deposition and 34.9 Gg N by dry *** and ammonium in aerosol phase are the major forms of wet deposition,while NH3 and HNO_(3)in gas phase are the major forms of dry *** emissions contribute to 57%of wet deposition and 44%of dry *** future meteorological conditions,wet deposition is predicted to increase by 5.5%to 16.4%,while dry deposition would decrease by 0.3%to 13.0%.Changes in wind speed,temperature,relative humidity(RH),and precipitation rates are correlated with dry and wet deposition *** predicted changes in deposition to lakes driven by meteorological changes can lead to significant changes in aquatic chemistry and ecosystem *** from future emission scenarios,different climate scenarios should be considered in future ecosystem health evaluation in response to nitrogen deposition.

关键词： Deposition Nitrogen Lakes CMAQ Meteorological variations

Investigating Müller glia reprogramming in mice: a retrospective of the last decade, and a look to the future

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Neural Regeneration Research 2025年第4期20卷 946-959页

作者： Zhiyuan yin Jiahui Kang Xuan Cheng Hui gao Shujia Huo Haiwei Xu Key Lab of Visual Damage and Regeneration&Restoration of Chongqing Southwest Eye HospitalSouthwest HospitalThird Military Medical University(Army Medical University)ChongqingChina

Müller glia,as prominent glial cells within the retina,plays a significant role in maintaining retinal homeostasis in both healthy and diseased *** lower vertebrates like zebrafish,these cells assume responsibility for spontaneous retinal regeneration,wherein endogenous Müller glia undergo proliferation,transform into Müller glia-derived progenitor cells,and subsequently regenerate the entire retina with restored ***,Müller glia in the mouse and human retina exhibit limited neural reprogramming.Müller glia reprogramming is thus a promising strategy for treating neurodegenerative ocular disorders.Müller glia reprogramming in mice has been accomplished with remarkable success,through various *** in molecular,genetic,epigenetic,morphological,and physiological evaluations have made it easier to document and investigate the Müller glia programming process in ***,there remain issues that hinder improving reprogramming efficiency and ***,understanding the reprogramming mechanism is crucial toward exploring factors that will improve Müller glia reprogramming efficiency,and for developing novel Müller glia reprogramming *** review describes recent progress in relatively successful Müller glia reprogramming *** also provides a basis for developing new Müller glia reprogramming strategies in mice,including epigenetic remodeling,metabolic modulation,immune regulation,chemical small-molecules regulation,extracellular matrix remodeling,and cell-cell fusion,to achieve Müller glia reprogramming in mice.

关键词： cell fusion chemical small-molecules epigenetic extracellular matrix immune metabolic mice Müller glia neurodegenerative diseases reprogramming retina regeneration