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A versatile framework for analyzing galaxy image data by incorporating Human-in-the-loop in a large vision model

Chinese Physics C 2024年第9期48卷 176-187页

作者： Ming-Xiang Fu Yu Song Jia-Meng Lv liang Cao Peng Jia Nan Li Xiang-Ru Li Ji-Feng Liu A-Li Luo Bo Qiu Shi-Yin Shen liang-ping tu Li-Li Wang Shou-Lin Wei Hai-Feng Yang Zhen-ping Yi Zhi-Qiang Zou National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China College of Electronic Information and Optical Engineering Taiyuan University of TechnologyTaiyuan 030024China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 101408China Key lab of Space Astronomy and Technology National Astronomical ObservatoriesBeijing 100101China School of Computer Science South China Normal UniversityGuangzhou 510631China CAS Key Laboratory of Optical Astronomy National Astronomical ObservatoriesBeijing 100101China University of Chinese Academy of Sciences NanjingNanjing 211135China University of Science and Technology Beijing Beijing 100083China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China School of Computer and Information Dezhou UniversityDezhou 253023China Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650500China School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 30024China School of Mechanical Electrical and Information EngineeringShandong UniversityWeihai 264209China Nanjing University of Posts&Telecommunications Nanjing 210023China School of Science University of Science and Technology LiaoningAnshan 114051China

The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the ***,effectively analyzing this vast amount of data poses a significant *** response,astronomers are turning to deep learning techniques,but these methods are limited by their specific training sets,leading to considerable duplicate *** overcome this issue,we built a framework for the general analysis of galaxy images based on a large vision model(LVM)plus downstream tasks(DST),including galaxy morphological classification,image restoration object detection,parameter extraction,and *** the low signal-to-noise ratios of galaxy images and the imbalanced distribution of galaxy categories,we designed our LVM to incorporate a Human-in-the-loop(HITL)module,which leverages human knowledge to enhance the reliability and interpretability of processing galaxy images *** proposed framework exhibits notable fewshot learning capabilities and versatile adaptability for all the abovementioned tasks on galaxy images in the DESI Legacy Imaging *** particular,for the object detection task,which was trained using 1000 data points,our DST in the LVM achieved an accuracy of 96.7%,while ResNet50 plus Mask R-CNN reached an accuracy of 93.1%.For morphological classification,to obtain an area under the curve(AUC)of~0.9,LVM plus DST and HITL only requested 1/50 of the training sets that ResNet18 *** addition,multimodal data can be integrated,which creates possibilities for conducting joint analyses with datasets spanning diverse domains in the era of multi-messenger astronomy.

关键词： artificial intelligence large vision model human-in-the-loop astronomy galaxies

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New supernova candidates from the SDSS-DR7 spectral survey

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Research in Astronomy and Astrophysics 2009年第6期9卷 635-640页

作者： liang-ping tu A-Li Luo Fu-Chao Wu Chao Wu Yong-Heng Zhao Institute of Automation Chinese Academy of Sciences Beijing 100190 China National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China School of Science University of Science and Technology Liaoning Anshan 114051 China

This letter presents 25 supernova candidates discovered from SDSS-DR7 by using our dedicated method, called Sample Decrease. Ten of them have been confirmed by other research groups, while the remaining 15, including 14 Type la and one Type Ⅱ, are first discovered based on Supernova Identification analysis. The results demonstrate that our method is reliable. The description of the method and some detailed spectral analysis procedures are also presented.

关键词： techniques spectroscopic -- supernovae method -- data analysis

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Fine-grained grid computing model for Wi-Fi indoor localization in complex environments

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Journal of Electronic Science and Technology 2024年第1期22卷 42-52页

作者： Yan liang Song Chen Xin Dong tu Liu School of Computer Engineering Chengdu Technological UniversityChengdu611730China HAN Networks Corporation Limited Beijing100094China

The fingerprinting-based approach using the wireless local area network(WLAN)is widely used for indoor ***,the construction of the fingerprint database is quite *** when the position of the access point(AP)or wall changes,updating the fingerprint database in real-time is *** appropriate indoor localization approach,which has a low implementation cost,excellent real-time performance,and high localization accuracy and fully considers complex indoor environment factors,is preferred in location-based services(LBSs)*** this paper,we proposed a fine-grained grid computing(FGGC)model to achieve decimeter-level localization *** points(RPs)are generated in the grid by the FGGC ***,the received signal strength(RSS)values at each RP are calculated with the attenuation factors,such as the frequency band,three-dimensional propagation distance,and walls in complex *** a result,the fingerprint database can be established automatically without manual measurement,and the efficiency and cost that the FGGC model takes for the fingerprint database are superior to previous *** proposed indoor localization approach,which estimates the position step by step from the approximate grid location to the fine-grained location,can achieve higher real-time performance and localization accuracy *** mean error of the proposed model is 0.36 m,far lower than that of previous ***,the proposed model is feasible to improve the efficiency and accuracy of Wi-Fi indoor *** also shows high-accuracy performance with a fast running speed even under a large-size *** results indicate that the proposed method can also be suitable for precise marketing,indoor navigation,and emergency rescue.

关键词： Fine-grained grid computing (FGGC) Indoor localization Path loss Random forest Reference points(RPs)

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Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm

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Research in Astronomy and Astrophysics 2015年第10期15卷 1671-1694页

作者： Jian-Min Si Yin-Bi Li A-Li Luo liang-ping tu Zhi-Xin Shi Jian-Nan Zhang Peng Wei Gang Zhao Yi-Hong Wu Fu-Chao Wu Yong-Heng Zhao Key Laboratory of Optical Astronomy National Astronomical ObservatoriesChinese Academy of Sciences National Key Laboratory of Pattern Recognition Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences School of Science Liaoning University of Science and Technology

Carbon stars are excellent kinematic tracers of galaxies and can serve as a viable standard candle, so it is worthwhile to automatically search for them in a large amount of spectra. In this paper, we apply the efficient manifold ranking algorithm to search for carbon stars from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope （LAMOST） pilot survey, whose performance and robustness are verified comprehensively with four test experiments. Using this algorithm, we find a total of 183 carbon stars, and 158 of them are new findings. According to different spectral features, our carbon stars are classified as 58 C-H stars, 11 C-H star candidates, 56 C-R stars, ten C-R star candidates, 30 C-N stars, three C-N star candidates, and four C-J stars. There are also ten objects which have no spectral type because of low spec- tral quality, and a composite spectrum consisting of a white dwarf and a carbon star. Applying the support vector machine algorithm, we obtain the linear optimum clas- sification plane in the J - H versus/-/- Ks color diagram which can be used to distinguish C-H from C-N stars with their J - H and H - Ks colors. In addition, we identify 18 dwarf carbon stars with their relatively high proper motions, and find three carbon stars with FUV detections likely have optical invisible companions by cross matching with data from the Galaxy Evolution Explorer. In the end, we detect four variable carbon stars with the Northern Sky Variability Survey, the Catalina Sky Survey and the LINEAR variability databases. According to their periods and ampli- tudes derived by fitting light curves with a sinusoidal function, three of them are likely semiregular variable stars and one is likely a Mira variable star.

关键词： methods: data analysis -- methods: statistical -- stars: carbon -- binaries-- stars: variables

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An integrated MINLP model for multi-party coordination in downstream oil supply chain

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Petroleum Science 2024年第3期21卷 2066-2079页

作者： Rui Qiu Bo Zhang Wei Zhao Ren-Fu tu Man-Qiu He Qi Liao Yong-tu liang National Engineering Laboratory for Pipeline Safety/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology China University of Petroleum-BeijingFuxue Road No.18Changping DistrictBeijing102249PR China Strategy&Implementation Department PipeChinaDongtucheng Road No.5Chaoyang DistrictBeijing100013PR China

Cooperation among enterprises can bring overall and individual performance improvement,and a smooth coordination method is ***,due to the lack of customized coordination methods,cooperation in the downstream oil supply chain cannot be carried out *** paper intends to propose a multi-party coordination method to promote cooperation between oil shippers and pipeline operator by optimizing oil transportation,oil substitution and pipeline pricing *** integrated game-theoretic modeling and analysis approach is developed to characterize the operation behaviors of all stakeholders in the downstream oil supply *** proposed mixed integer nonlinear programming model constrains supply and demand capacity,transportation routes,oil substitution rules and pipeline freight *** transformation and price discretization are introduced for model linear *** experiments are carried out in the oil distribution system in South *** results show that compared to the business-as-usual scheme,the new scheme saves transportation cost by 3.48%,increases pipeline turnover by 5.7%,and reduces energy consumption and emissions by 7.66%and 6.77%.It is proved that the proposed method improves the revenue of the whole system,achieves fair revenue distribution,and also improves the energy and environmental benefits of the oil supply chain.

关键词： Downstreamoil supplychain Multi-partycoordination Cooperative game Mixed integernonlinear programming model Pipeline transportation Revenue distribution

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NIR-IIb-triggered photodynamic therapy combined with chemotherapy platform based on rare-earth-doped nanoparticles

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Rare Metals 2024年第7期43卷 3220-3231页

作者： Zhuo tu Yong Wan Juan Ge Chen-Chen Li Tao liang Zhen Li Chemistry and Chemical Engineering Hubei UniversityWuhan 430062China

Photodynamic therapy(PDT),with high spatiotemporal selectivity,minimal side effects and less drug resistance,has emerged as a promising approach for the treatment of ***,inadequate penetration depth and poor efficacy seriously restrict its practical *** address these challenges,we developed a combined therapy platform(RENP@C/D-FA)based on rare-earth-doped nanoparticles(RENPs)with a structure of NaErF_(4):Tm(0.5%)@NaYF_(4),on which photosensitizer Ce6(chlorin e6)and chemo-therapeutic drug(DOX)(doxorubicin)were loaded by encapsulating with an amphiphilic polymer distearoyl phosphatidylethanolamine-polyethylene glycol-folic acid(DSPE-PEG-FA).RENPs with NaErF_(4) as the matrix possess multiple excitation/emission peaks,enabling activation of PDT under near-infrared-Ⅱb(NIR-Ⅱb,1500-1700 nm)excitation and luminescence imaging in NIR-Ⅱb region by absorbing 808 nm near-infrared ***,DOX can be selectively released in the acidic microenvironment of *** from the tumor targeting capability of folic acid,this platform can successfully ablate tumor cells and inhibit tumor growth by combining PDT and *** innovative approach holds great promise as a powerful tool for cancer treatment,showing the potential to revolutionize PDT.

关键词： Photodynamic therapy Rare-earth-doped nanoparticles NIR-IIb Chemotherapy Combined therapy

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Multisensor information fusion:Future of environmental perception in intelligent vehicles

Journal of Intelligent and Connected Vehicles

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Journal of Intelligent and Connected Vehicles 2024年第3期7卷 163-176页

作者： Yongsheng Zhang Chen tu Kun Gao liang Wang CRRC Qishuyan Institute Co. Ltd.Changzhou 213011China School of Information Science and Engineering Southeast UniversityNanjing 211189China Department of Architecture and Civil Engineering Chalmers University of TechnologyGothenburg SE-41296Sweden School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China

As urban transportation increasingly impacts daily life,efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion,frequent accidents,and noise *** rapid advancement of intelligent autonomous driving technologies,particularly environmental perception technologies,offers new directions for solving these *** review discusses the application of multisensor information fusion technology in environmental perception for intelligent vehicles,analyzing the components and performance of various sensors and their specific applications in autonomous *** multisensor information fusion,the accuracy of environmental perception is enhanced,optimizing decision support for autonomous driving systems and thereby improving vehicle safety and driving *** study also discusses the challenges faced by information fusion technology and future development trends,providing references for further research and application in intelligent transportation systems.

关键词： intelligent vehicles environmental perception multisensor information fusion autonomous driving traffic safety

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Large animal models for Huntington's disease research

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Zoological Research 2024年第2期45卷 275-283页

作者： Bofeng Han Weien liang Xiao-Jiang Li Shihua Li Sen Yan Zhuchi tu Guangdong-Hongkong-Macao CNS Regeneration Institute of Jinan University Key Laboratory of CNS Regeneration(Jinan University)-Ministry of EducationGuangdong Key Laboratory of Non-Human Primate ResearchGuangzhouGuangdong 510632China Department of Pathophysiology School of MedicineJinan UniversityGuangzhouGuangdong 510632China

Huntington'sdisease(HD)isahereditary neurodegenerative disorder for which there is currently no ***,the development of appropriate disease models is critical to thoroughly investigate disease *** genetic basis of HD involves the abnormal expansion of CAG repeats in the huntingtin(HTT)gene,leading to the expansion of a polyglutamine repeat in the HTT *** HTT carrying the expanded polyglutamine repeat undergoes misfolding and forms aggregates in the brain,which precipitate selective neuronal loss in specific brain *** models play an important role in elucidating the pathogenesis of neurodegenerative disorders such as HD and in identifying potential therapeutic *** to the marked species differences between rodents and larger animals,substantial efforts have been directed toward establishing large animal models for HD *** models are pivotal for advancing the discovery of novel therapeutic targets,enhancing effective drug delivery methods,and improving treatment *** have explored the advantages of utilizing large animal models,particularly pigs,in previous *** then,however,significant progress has been made in developing more sophisticated animal models that faithfully replicate the typical pathology of *** the current review,we provide a comprehensive overview of large animal models of HD,incorporating recent findings regarding the establishment of HD knock-in(KI)pigs and their genetic *** also explore the utilization of large animal models in HD research,with a focus on sheep,non-human primates(NHPs),and *** objective is to provide valuable insights into the application of these large animal models for the investigation and treatment of neurodegenerative disorders.

关键词： Huntington's disease Large animal models Sheep Non-human primates Transgenic pigs

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Responses of plant diversity and soil microorganism diversity to nitrogen addition in the desert steppe,China

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Journal of Arid Land 2024年第3期16卷 447-459页

作者： YE He HONG Mei XU Xuehui liang Zhiwei JIANG Na tu Nare WU Zhendan College of Grassland Resources and EnvironmentInner Mongolia Agricultural UniversityInner Mongolia Key Laboratory of Soil Quality and Nutrient ResourcesHohhot 010018China Key Laboratory of Agricultural Ecological Security and Green Development at University of Inner Mongolia Hohhot 010018China

Nitrogen(N)deposition is a significant aspect of global change and poses a threat to terrestrial *** impact of plant-soil microbe relationships to N deposition has recently attracted considerable *** microorganisms have been proven to provide nutrients for specific plant growth,especially in nutrient-poor desert steppe ***,the effects of N deposition on plant-soil microbial community interactions in such ecosystems remain poorly *** investigate these effects,we conducted a 6-year N-addition field experiment in a Stipa breviflora *** steppe in Inner Mongolia Autonomous Region,*** N treatment levels(N0,N30,N50,and N100,corresponding to 0,30,50,and 100 kg N/(hm2•a),respectively)were applied to simulate atmospheric N *** results showed that N deposition did not significantly affect the aboveground biomass of desert steppe plants.N deposition did not significantly reduce the alfa-diversity of plant and microbial communities in the desert steppe,and low and mediate N additions(N30 and N50)had a promoting effect on *** variation pattern of plant Shannon index was consistent with that of the soil bacterial Chao1 index.N deposition significantly affected the beta-diversity of plants and soil bacteria,but did not significantly affect fungal *** conclusion,N deposition led to co-evolution between desert steppe plants and soil bacterial communities,while fungal communities exhibited strong stability and did not undergo significant *** findings help clarify atmospheric N deposition effects on the ecological health and function of the desert steppe.

关键词： soil microorganisms plant-microbial community interaction plant diversity nitrogen deposition desert steppe

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A novel marine-derived anti-acute kidney injury agent targeting peroxiredoxin 1 and its nanodelivery strategy based on ADME optimization

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3232-3250页

作者： ping Yu Tanwei Gu Yueyang Rao Weimin liang Xi Zhang Huanguo Jiang Jindi Lu Jianglian She Jianmin Guo Wei Yang Yonghong Liu Yingfeng tu Lan Tang Xuefeng Zhou Guangdong Provincial Key Laboratory of New Drug Screening Guangdong-Hong Kong-Macao Joint Laboratory for New Drug ScreeningSchool of Pharmaceutical SciencesSouthern Medical UniversityGuangzhou 510515China CAS Key Laboratory of Tropical Marine Bio-Resources and Ecology Guangdong Key Laboratory of Marine Materia MedicaSouth China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China NMPA Key Laboratory for Research and Evaluation of Drug Metabolism School of Pharmaceutical SciencesSouthern Medical UniversityGuangzhou 510515China Guangdong Lewwin Pharmaceutical Research Institute Co. Ltd.Guangdong Provincial Key Laboratory of Drug Non-Clinical Evaluation and ResearchGuangdong Engineering Research Center for Innovative Drug Evaluation and ResearchGuangzhou 510990China

Insufficient therapeutic strategies for acute kidney injury(AKI)necessitate precision therapy targeting its *** study reveals the new mechanism of the marine-derived anti-AKI agent,piericidin glycoside S14,targeting peroxiredoxin 1(PRDX1).By binding to Cys83 of PRDX1 and augmenting its peroxidase activity,S14 alleviates kidney injury efficiently in Prdx1-overexpression(Prdx1-OE)***,S14 also increases PRDX1 nuclear translocation and directly activates the Nrf2/HO-1/NQO1 pathway to inhibit ROS *** to the limited druggability of S14 with low bioavailability(2.6%)and poor renal distribution,a pH-sensitive kidney-targeting dodecanaminechitosan nanoparticle system is constructed to load S14 for precise treatment of AKI.L-Serine conjugation to chitosan imparts specificity to kidney injury molecule-1(Kim-1)-overexpressed *** developed S14-nanodrug exhibits higher therapeutic efficiency by improving the in vivo behavior of S14 *** encapsulation with micelles,the AUC_(0-t),half-life time,and renal distribution of S14 increase 2.5-,1.8-,and 3.1-fold,*** main factors contributing to the improved druggability of S14 nanodrugs include the lower metabolic elimination rate and UDPglycosyltransferase(UGT)-mediated *** summary,this study identifies a new therapeutic target for the marine-derived anti-AKI agent while enhancing its ADME properties and druggability through nanotechnology,thereby driving advancements in marine drug development for AKI.

关键词： Acute kidney injury Piericidin glycoside Peroxiredoxin 1 Nanodrug Kim-1 targeted ADME Marine drug Druggability

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