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Wide-field auroral imager onboard the Fengyun satellite

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Light(Science & Applications) 2019年第1期8卷 776-787页

作者： Xiao-Xin Zhang Bo Chen Fei He Ke-Fei Song Ling-Ping He Shi-Jie Liu Quan-Feng Guo Jia-Wei Li Xiao-Dong Wang Hong-Ji Zhang Hai-Feng Wang Zhen-Wei Han Liang Sun Pei-Jie Zhang Shuang Dai guang-xing ding Li-Heng Chen Zhong-Su Wang guang-Wei Shi Xin Zhang Chao Yu Zhong-Dong Yang Peng Zhang Jin-Song Wang National Satellite Meteorological Center China Meteorological AdministrationBeijingChina Key Laboratory of Space Weather National Center for Space WeatherChina Meteorological AdministrationBeijingChina Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina State Key Laboratory of Applied Optics Chinese Academy of SciencesChangchunChina Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina Institutions of Earth Science Chinese Academy of SciencesBeijingChina

The newly launched Fengyun-3D(FY-3D)satellite carried a wide-field auroral imager(WAI)that was developed by Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences(CIOMP),which will provide a large field of view(FOV),high spatial resolution,and broadband ultraviolet images of the aurora and the ionosphere by imaging the N2 LBH bands of *** WAI consists of two identical cameras,each with an FOV of 68°in the along-track direction and 10°in the cross-track *** two cameras are tilted relative to each other to cover a fan-shaped field of size 130°×10°.Each camera consists of an unobstructed four-mirror anastigmatic optical system,a BaF2 filter,and a photon-counting imaging *** spatial resolution of WAI is ~10 km at the nadir point at a reference height of 110 km above the Earth’s *** sensitivity is>0.01 counts s^(−1) Rayleigh^(−1) pixel^(−1)(140-180 nm)for both cameras,which is sufficient for mapping the boundaries and the fine structures of the auroral oval during storms/*** on the tests and calibrations that were conducted prior to launch,the data processing algorithm includes photon signal decoding,geometric distortion correction,photometric correction,flatfield correction,line-of-sight projection and correction,and normalization between the two *** processed images are compared with DMSP SSUSI *** agreement between the images that were captured by two instruments demonstrates that the WAI and the data processing algorithm operate normally and can provide high-quality scientific data for future studies on auroral dynamics.

关键词： storm correction field

Breaking new ground in photocatalysis: lutetium texaphyrin as a trigger for pyroptosis through biomolecular photoredox reactions

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Science China Chemistry 2025年第1期68卷 1-2页

作者： Qihang ding Mengrong He Meijia Gu Department of Chemistry Korea University Department of Ultrasound Medicine Union Hospital Tongji Medical College Huazhong University of Science and Technology Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE) School of Pharmaceutical Sciences Wuhan University

Malignant neoplasms consistently pose a significant threat to global public health [1,2]. In recent years, immunotherapy has demonstrated remarkable clinical success; however, its efficacy is limited by the scarcity of immune cell infiltration within tumor microenvironments. Cell pyroptosis, a gasdermin-mediated process characterized by cellular swelling,rupture, and the release of intracellular contents such as IL-1β, IL-18, ATP, HMGB1, plays a crucial role in this context[3,4].

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Solar X-ray and EUV imager on board the FY-3E satellite

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Light(Science & Applications) 2022年第12期11卷 2939-2951页

作者： Bo Chen Xiao-Xin Zhang Ling-Ping He Ke-Fei Song Shi-Jie Liu guang-xing ding Jin-Ping Dun Jia-Wei Li Zhao-Hui Li Quan-Feng Guo Hai-Feng Wang Xiao-Dong Wang Yun-Qi Wang Hong-Ji Zhang guang Zhang Zhen-Wei Han Shuang Dai Pei-Jie Zhang Liang Sun Yang Liu software engineer Peng Wang Kun Wu Chen Tao Shi-Lei Mao Gui Mei Liang Yang Li-Heng Chen Chun-Yang Han Bin Huang Yang Liu mechanical engineer Shuai Ren Peng Zhou Ze-XiWei Xiao-Xue Zhang Yue Zhang Xin Zheng Yang Wang Ya Chen Jing-Jiang Xie Fei He Qiao Song Wei-Guo Zong Xiu-Qing Hu Peng Zhang Jing-Song Wang Zhong-Dong Yang Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina State Key Laboratory of Applied Optics Chinese Academy of SciencesChangchunChina National Satellite Meteorological Center China Meteorological AdministrationBeijingChina Key Laboratory of Space Weather National Center for Space WeatherChina Meteorological AdministrationBeijingChina Innovation Center for Fengyun Meteorological Satellite(FYSIC) BeijingChina Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina

The solar X-ray and Extreme Ultraviolet Imager(X-EUVI),developed by the Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences(CIOMP),is the first space-based solar X-ray and Extreme ultraviolet(EUV)imager of China loaded on the Fengyun-3E(FY-3E)satellite supported by the China Meteorological Administration(CMA)for solar *** started work on July 11,2021,X-EUVI has obtained many solar *** instrument employs an innovative dual-band design to monitor a much larger temperature range on the Sun,which covers 0.6-8.0 nm in the X-ray region with six channels and 19.5 nm in the EUV region.X-EUVI has a field of view of 42′,an angular resolution of 2.5″per pixel in the EUV band and an angular resolution of 4.1″per pixel in the X-ray *** instrument also includes an X-ray and EUV irradiance sensor(X-EUVS)with the same bands as its imaging optics,which measures the solar irradiance and regularly calibrates the solar *** radiometric calibration of X-EUVS on the ground has been completed,with a calibration accuracy of 12%.X-EUVI is loaded on the FY-3E satellite and rotates relative to the Sun at a uniform ***-field calibration is conducted by utilizing successive rotation solar *** agreement between preliminarily processed X-EUVI images and SDO/AIA and Hinode/XRT images indicates that X-EUVI and the data processing algorithm operate properly and that the data from X-EUVI can be applied to the space weather forecast system of CMA and scientific investigations on solar activity.

关键词： image instrument Solar

Near-infrared organic photosensitizers with aggregation-induced emission and switchable fluorescence for fungal infection therapy

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Science China Chemistry 2025年

作者： Xinzhe Yang Zixuan Huang Keke ding Huili Yang Lirong Wang Qing Xia Rong Hu guang Shi Bingjia Xu Anjun Qin School of Chemistry South China Normal University State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates Center for Aggregation-Induced Emission AIE Institute South China University of Technology Department of Urology The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College) School of Chemistry and Chemical Engineering University of South China

The development of near-infrared (NIR) photosensitizers with aggregation-induced emission (AIE) properties,switchable luminescence colors,and satisfactory photodynamic therapy (PDT) effects on the treatment of fungal infection is of great importance but very ***,two ionic organic luminogens are constructed by employing diphenylamine,diphenylacrylonitrile/1,2-diphenylethene,and methylated quinoline cation as building *** is found that the resulting compounds TCQF and TQF show apparent AIE properties and produce intense fluorescence with high photoluminescence quantum yields of up to 31.2%in the solid *** the meantime,their emission colors can be switched between red and NIR and in the NIR region by mechanical force and solvent vapor,respectively,thereby enabling remarkable and reversible mechanochromism with emission variations of up to 104 *** excitingly,TCQF and TQF can efficiently generate ROS under the illumination of white light and show excellent antimicrobial activities and satisfactory PDT *** by the unique anti-fungus properties,TCQF is employed as a biocompatible NIR photosensitizer for treating wound infection with ***,and apparent PDT effects are *** work provides a new direction for the development of multifunctional NIR materials with AIE properties.

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Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning

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Computers, Materials & Continua 2025年第1期82卷 1129-1150页

作者： Shijie Tang Yong ding Huiyong Wang School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin541004China School of Electronic Engineering and Automation Guilin University of Electronic TechnologyGuilin541004China guangxi Engineering Research Center of Industrial Internet Security and Blockchain Guilin University of Electronic TechnologyGuilin541004China Institute of Cyberspace Technology HKCT Institute for Higher EducationHong Kong999077China School of Mathematics&Computing Science Guilin University of Electronic TechnologyGuilin541004China

As more and more devices in Cyber-Physical Systems(CPS)are connected to the Internet,physical components such as programmable logic controller(PLC),sensors,and actuators are facing greater risks of network attacks,and fast and accurate attack detection techniques are *** key problem in distinguishing between normal and abnormal sequences is to model sequential changes in a large and diverse field of time *** address this issue,we propose an anomaly detection method based on distributed deep *** method uses a bilateral filtering algorithm for sequential sequences to remove noise in the time series,which can maintain the edge of discrete *** use a distributed linear deep learning model to establish a sequential prediction model and adjust the threshold for anomaly detection based on the prediction error of the validation *** method can not only detect abnormal attacks but also locate the sensors that cause *** conducted experiments on the Secure Water Treatment(SWAT)and Water Distribution(WADI)public *** experimental results show that our method is superior to the baseline method in identifying the types of attacks and detecting efficiency.

关键词： Anomaly detection CPS deep learning MLP(multi-layer perceptron)

Controlled cationic ring-opening polymerization of L-lactide by organic ion pair: novel approach to isotactic-rich and crystalline polylactide

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Science China Chemistry 2025年第1期68卷 394-402页

作者： Zhiqiang ding Mingqian Wang Zijing Zhou Bin Wang Yuesheng Li Tianjin Key Laboratory of Composite & Functional Materials School of Materials Science and Engineering Tianjin University

Living/controlled cationic ring-opening polymerization （ROP） of L-lactide is a promising approach to isotactic-rich and crystalline poly（L-lactide）.In contrast with the unsubstituted lactones,L-LA can not be polymerized by organic Lewis acids or carbenium ions,and the state of the art in this field is the cationic ROP of L-LA catalyzed by Br?nsted acid/alcohol system via activated monomer ***,we reported the first example of controlled cationic ROP of L-LA by using Meerweintype ion pair[Me3O]+[B（C6F5）4]-as the catalyst.[Me3O]+[B（C6F5）4]-promoted rapid L-LA cationic polymerization in the absence of alcohol,producing isotactic-rich and crystalline PLLA without transesterification and epimerization side *** activated chain end mechanism,involving twice SN2 substitution and configuration-inversion （S→R→S） with the assistance of released Me2O,was proposed and further verified by density functional theory and control *** work expands the catalytic toolbox of isotactic-rich and crystalline polylactide *** represents a unique example of cationic-controlled polymerization of L-LA catalyzed by an organic ion pair.

关键词： organic ion pair controlled cationic ring-opening polymerization activated chain end mechanism isotactic-rich polylactide

Physarum polycephalum-inspired adaptive optimization design of artificial microtubular networks

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Science China Chemistry 2025年

作者： Si-Min Zeng Di-Wei Zheng Ting Pan xing-Lan ding Yun Zhang Chi-Hui Yang Si-Xue Cheng Xian-Zheng Zhang Key Laboratory of Biomedical Polymers of Ministry of Education&Department of Chemistry Wuhan University

Natural biological microtubular networks have undergone adaptive evolutionary selection and may offer viable solutions to design challenges in artificial microtubular networks. The plasmodium of the slime mold Physarum polycephalum(P. polycephalum) extends continuously to form a protoplasmic microtubular network structure, directly connecting food *** simulations revealed that the formation of this adaptive P. polycephalum microtubular network could be captured by a mathematical algorithm. Inspired by the P. polycephalum microtubular networks, we propose an adaptive optimization design method for artificial microtubular networks. Specifically, we utilized hydrogels with biodegradable and tissue-adhesive properties to replicate the P. polycephalum microtubular networks via photomask. In Rhodamine B diffusion and glucosecatalyzed reaction experiments, we found that the P. polycephalum microtubular networks exhibited significantly enhanced efficiency compared to vascular and artificial networks. Furthermore, we demonstrated the potential for uric acid(UA) degradation of the hydrogels with a real P. polycephalum microtubular network loaded with urate oxidase(UOx) in a rodent model of hyperuricemia. And this network achieved more than double the effect of the artificial network. This underscores the potential of natural microtubular networks to replace artificial microtubular networks.

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Lightweight Underwater Target Detection Using YOLOv8 with Multi-Scale Cross-Channel Attention

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Computers, Materials & Continua 2025年第1期82卷 713-727页

作者： Xueyan ding Xiyu Chen Jiaxin Wang Jianxin Zhang School of Computer Science and Engineering Dalian Minzu UniversityDalian116600China Research Center of Multimodal Information Perception and Intelligent Processing Dalian Minzu UniversityDalian116600China

Underwater target detection is extensively applied in domains such as underwater search and rescue,environmental monitoring,and marine resource *** is crucial in enabling autonomous underwater robot operations and promoting ocean ***,low imaging quality,harsh underwater environments,and obscured objects considerably increase the difficulty of detecting underwater targets,making it difficult for current detection methods to achieve optimal *** order to enhance underwater object perception and improve target detection precision,we propose a lightweight underwater target detection method using You Only Look Once(YOLO)v8 with multi-scale cross-channel attention(MSCCA),named *** the proposed multiscale cross-channel attention module,multi-scale attention(MSA)augments the variety of attentional perception by extracting information from innately diverse sensory *** cross-channel strategy utilizes RepVGGbased channel shuffling(RCS)and one-shot aggregation(OSA)to rearrange feature map channels according to specific *** aggregates all features only once in the final feature mapping,resulting in the extraction of more comprehensive and valuable feature *** experimental results show that the proposed YOLOv8-UOD achieves a mAP50 of 95.67%and FLOPs of 23.8 G on the Underwater Robot Picking Contest 2017(URPC2017)dataset,outperforming other methods in terms of detection precision and computational cost-efficiency.

关键词： Deep learning underwater target detection attention mechanism

The Lyman-alpha Solar Telescope(LST) for the ASO-S mission——Ⅱ. design of LST

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Research in Astronomy and Astrophysics 2019年第11期19卷 33-48页

作者： Bo Chen Hui Li Ke-Fei Song Quan-Feng Guo Pei-Jie Zhang Ling-Ping He Shuang Dai Xiao-Dong Wang Hai-Feng Wang Chun-Long Liu Hong-Ji Zhang guang Zhang Yunqi Wang Shi-Jie Liu Hong-Xin Zhang Lei Liu Shi-Lei Mao Yang Liu Jia-Hao Peng Peng Wang Liang Sun Yang Liu Zhen-Wei Han Yan-Long Wang Kun Wu guang-xing ding Peng Zhou Xin Zheng Ming-Yi Xia Qing-Wen Wu Jin-Jiang Xie Ya Chen Shu-Mei Song Hong Wang Bo Zhu Chang-Bo Chu Wen-Gang Yang Li Feng Yu Huang Wei-Qun Gan Ying Li Jing-Wei Li Lei Lu Jian-Chao Xue Bei-Li Ying Ming-Zhe Sun Cheng Zhu Wei-Min Bao Lei Deng Zeng-Shan Yin Changchun Institute of Optics FineMechanics and PhysicsChinese Academy of SciencesChangchun 130033China State Key Laboratory of Applied Optics Changchun 130033China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210034China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China Xi’an Institute of Optics and Precision Mechanics Chinese Academy of SciencesXi’an 710119China Shandong University Weihai 264209China Innovation Academy for Microsatellites Chinese Academy of SciencesShanghai 201210China

As one of the three payloads for the Advanced Space-based Solar Observatory(ASO-S)mission,the Lyman-alpha(Lyα)Solar Telescope(LST)is composed of three instruments:a Solar Corona Imager(SCI),a LyαSolar Disk Imager(SDI)and a full-disk White-light Solar Telescope(WST).When working in-orbit,LST will simultaneously perform high-resolution imaging observations of all regions from the solar disk to the inner corona up to 2.5 R⊙(R⊙stands for the mean solar radius)with a spatial resolution of 4.8′′and 1.2′′for coronal and disk observations,respectively,and a temporal resolution of 30–120 s and 1–120 s for coronal and disk observations,*** maximum exposure time can be up to20 s due to precise pointing and image stabilization *** the three telescopes of LST,SCI is a dual-waveband coronagraph simultaneously and independently observing the inner corona in the HI Lyα(121.6±10 nm)line and white light(WL)(700±40 nm)wavebands by using a narrowband Lyαbeam splitter and has a field of view(FOV)from 1.1 to 2.5 R⊙.The stray-light suppression level can attain<10^-6 B⊙(B⊙is the mean brightness of the solar disk)at 1.1 R⊙and≤5×10^-8 B⊙at 2.5 R⊙.SDI and WST are solar disk imagers working in the Lyαline and 360.0 nm wavebands,respectively,which adopt an off-axis two-mirror reflective structure with an FOV up to 1.2 R⊙,covering the inner coronal edge area and relating to coronal *** present the up-to-date design for the LST payload.

关键词： telescopes—instrumentation high angular resolution—Sun flares—Sun coronal mass ejections(CMEs)—Sun UV radiation

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