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Two-color emissive AIEgens with anti-Kasha property for dual-organelle imaging and phototherapy

Science China Chemistry 2024年第5期67卷 1740-1752页

作者： Pu Chen Guogang Shan Qingli Nie Yuting Yan Pengfei Zhang Zujin Zhao Hai-Tao Feng Ben Zhong Tang AIE Research Center Shaanxi Key Laboratory of PhytochemistryCollege of Chemistry and Chemical EngineeringBaoji University of Arts and SciencesBaoji 721013China Institute of Functional Material Chemistry and National&Local United Engineering Lab for Power Battery Faculty of ChemistryNortheast Normal UniversityChangchun 130024China College of Chemistry&Materials Science Northwest UniversityXi’an 710127China Guangdong key {1. of Nanomedicine CAS-HK Joint Lab of BiomaterialsCAS Key Laboratory of Biomedical Imaging Science and SystemShenzhen Engineering Laboratory of Nanomedicine and NanoformulationsCAS Key Lab for Health InformaticsShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State key {1. of Luminescent Materials and Devices Key Laboratory of Luminescence from Molecular Aggregates of Guangdong ProvinceSouth China University of TechnologyGuangzhou 510640China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhen(CUHK-Shenzhen)Shenzhen 518172China

Despite the rapid development of probes for targeting single organelle, the construction of robust dual-organelle targeting probes with multicolor emission was rarely reported. Herein, two dual-emissive aggregation-induced emission luminogens(AIEgens)with donor-π-acceptor structures were designed and synthesized, namely QT-1.and QF-2. Both two AIEgens exhibited excitation wavelength-dependence defying the Kasha's rule, and could stain lipid droplets(LDs) and mitochondria in blue and red fluorescence, respectively. Moreover, thanks to the near-infrared emission and abundant reactive oxygen species(ROS) generation efficiency of QT-1. it was chosen as a photodynamic therapy agent to selectively kill cancer cells from normal cells. Upon light irradiation, an obvious decrease of mitochondrial membrane potential(MMP) and serious change of mitochondrial shape in cells were observed, which corresponded to the efficient inhibition of tumor growth in vivo. This work afforded a promising strategy for the construction of multicolor emission by tuning anti-Kasha behaviors and expanding their application in dualorganelle targeting-based phototheranostics.

关键词： aggregation-induced emission anti-Kasha luminescence fluorescent probe bioimaging photodynamic therapy

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Palladium-free chemoselective probe for in vivo fluorescence imaging of carbon monoxide

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Chinese Chemical Letters 2024年第9期35卷 223-226页

作者： Gongcheng Ma Qihang Ding Yuding Zhang Yue Wang Jingjing Xiang Mingle Li Qi Zhao Saipeng Huang Ping Gong Jong Seung Kim Guangdong key {1. of Nanomedicine Shenzhen Engineering Laboratory of Nanomedicine and NanoformulationsCAS-HK Joint Lab for BiomaterialsResearch Laboratory for Biomedical Optics and Molecular ImagingShenzhen Key Laboratory for Molecular ImagingCAS Key Lab for Health InformaticsShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Korea UniversitySeoul 02841South Korea School of Chemical Engineering Northwest UniversityXi’an 710069China Cancer Center Institute of Translational MedicineFaculty of Health SciencesUniversity of MacaoMacao 999078China State key {1. of Fine Chemicals College of Materials Science and EngineeringShenzhen UniversityShenzhen 518060China

Carbon monoxide(CO)is a vital intracellular gas messenger known for its cytoprotective and homeostatic *** plays a pivotal role in a myriad of biological ***,the precise detection of CO is of paramount importance in unraveling the intricacies of pathological mechanisms and advancing the development of disease *** herein introduce NFCOP,a state-of-the-art near-infrared(NIR)turn-on fluorescence(FL)probe that has been meticulously designed for highly sensitive,swift and selective imaging of *** NFCOP response occurred rapidly with CO,within just 1. s,and the calculated detection limit for CO was determined to be 0.32μmol/*** investigations conducted at the cellular level and in vivo demonstrated that NFCOP possesses high sensitivity and selectivity for imaging CO.

关键词： Palladium-free Chemoselective probe Fluorescence imaging Carbon monoxide Near-infrared

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Wavelet-domain feature decoupling for weakly supervised multi-object tracking

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Science China(Information Sciences) 2024年第8期67卷 339-340页

作者： Yu-Lei LI Yan YAN Yang LU Hanzi WANG Fujian key {1. of Sensing and Computing for Smart City School of InformaticsXiamen University

Multi-object tracking(MOT) aims to discover interesting foreground targets and meanwhile generate robust trajectories of these targets with different data association algorithms based on identity embedding features(Re-ID features) [1. or motion cues [2]. During the past few decades,some advanced MOT methods have achieved considerable progress due to their wide range of applications in modern autonomous driving and intelligent video analysis.

关键词： Tracking (position)

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Self organizing optimization and phase transition in reinforcement learning minority game system

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Frontiers of physics 2024年第4期19卷 297-309页

作者： Si-Ping Zhang Jia-Qi Dong Hui-Yu Zhang Yi-Xuan Lü Jue Wang Zi-Gang Huang key {1. of Biomedical Information Engineering of Ministry of Education Key Laboratory of Neuro-informatics&Rehabilitation Engineering of Ministry of Civil Affairsand Institute of Health and Rehabilitation ScienceSchool of Life Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Lanzhou Center for Theoretical Physics and key {1. of Theoretical Physics of Gansu Province Lanzhou UniversityLanzhou 730000China

Whether the complex game system composed of a large number of artificial intelligence(AI)agents empowered with reinforcement learning can produce extremely favorable collective behaviors just through the way of agent self-exploration is a matter of practical *** this paper,we address this question by combining the typical theoretical model of resource allocation system,the minority game model,with reinforcement *** individual participating in the game is set to have a certain degree of intelligence based on reinforcement learning *** particular,we demonstrate that as AI agents gradually becomes familiar with the unknown environment and tries to provide optimal actions to maximize payoff,the whole system continues to approach the optimal state under certain parameter combinations,herding is effectively suppressed by an oscillating collective behavior which is a self-organizing pattern without any external *** interesting phenomenon is that a first-order phase transition is revealed based on some numerical results in our multi-agents system with reinforcement *** order to further understand the dynamic behavior of agent learning,we define and analyze the conversion path of belief mode,and find that the self-organizing condensation of belief modes appeared for the given trial and error rates in the AI ***,we provide a detection method for period-two oscillation collective pattern emergence based on the Kullback–Leibler divergence and give the parameter position where the period-two appears.

关键词： oscillatory evolution collective behaviors phase transition reinforcement learning minority game

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Reassessing the contributions of terrestrial waters to sea level variations in the South China Sea and its response to alternating ENSO events

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Science China Earth Sciences 2024年第7期67卷 2253-2267页

作者： Pengfei YANG Hok Sum FOK Zhongtian MA MOE key {1. of Geospace Environment and Geodesy&MNR key {1. of Geophysical Geodesy School of Geodesy and GeomaticsWuhan UniversityWuhan 430079China Hubei Luojia laboratory Wuhan 730079China Department of Land Surveying and Geo-informatics The Hong Kong Polytechnic UniversityHong Kong 999077China

Regional sea level variability is linked to regional terrestrial water and the El Ni?o-Southern Oscillation(ENSO).This study assessed the relationships between the sea level variations in the South China Sea(SCS)and ENSO,the impact of terrestrial water storage(TWS)on non-steric sea level(NSSL),and the contributions of steric sea level(SSL)and NSSL to sea level anomaly(SLA),*** 2003 to 201.,the SLAs exhibited a long-term trend of 6.65±0.78 mm/yr,which was primarily attributed to the ***,during 2003-201.,ENSO events alternating with varying intensities might also be responsible for the unusually high SLA *** to the SSLs,the NSSLs contributed the seasonal signals to the SLAs,while the NSSLs changes were largely explained by the TWS in the Mekong River Basin at the seasonal scale and in the Pearl River Basin and Red River Basin at other time *** contrast to the TWS,the contributions of precipitation and evapotranspiration were relatively minor.A negative correlation between the sea level variations and ENSO was also found,with cross-correlation coefficients between the oceanic Ni?o index and SLAs/SSLs/NSSLs of -0.36/-0.37/-0.62 with lags of 2/3/2 months,*** findings systematically reassessed the contributions of different components to the sea level *** study provided a benchmark for in-depth analysis of the impacts of terrestrial water and other potential causes on sea level rise in the SCS.

关键词： South China Sea Sea level variations Terrestrial water storage ENSO

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Pilot-Free End-to-End Underwater Acoustic Communication System Based on Autoencoder

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Journal of Communications and Information Networks 2024年第3期9卷 233-243页

作者： Yizhe Wang Deqing Wang Liqun Fu School of informatics and Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of Ministry of EducationXiamen UniversityXiamen 361005China

The long delay spreads and significant Doppler effects of underwater acoustic(UWA)channels make the design of the UWA communication system more *** this paper,we propose a learning-based end-to-end framework for UWA communications,leveraging a double feature extraction network(DFEN)for data *** DFEN consists of an attentionbased module and a mixer-based module for channel feature extraction and data feature extraction,*** the diverse nature of UWA channels,we propose a stack-network with a two-step training strategy to enhance *** avoiding the use of pilot information,the proposed network can learn data mapping that is robust to UWA *** results show that our proposed algorithm outperforms the baselines by at least 2 dB under bit error rate(BER)1.^(−2)on the simulation channel,and surpasses the compared neural network by at least 5 dB under BER 5×1.^(−2)on the experiment channels.

关键词： underwater acoustic communications autoencoder time-varying channel

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D-type neuropeptide decorated AIEgen/RENP hybrid nanoprobes with light-driven ROS generation ability for NIR-Ⅱ fluorescence imaging-guided through-skull photodynamic therapy of gliomas

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Aggregate 2024年第1期5卷 185-195页

作者： Xuelu He Yuan Luo Yanying Li Yuanbo Pan Ryan T.K.Kwok Lulu He Xiaolin Duan Pengfei Zhang Aiguo Wu Ben Zhong Tang Juan Li Ningbo key {1. of Biomedical Imaging Probe Materials and Technology Zhejiang International Cooperation Base of Biomedical Materials Technology and ApplicationChinese Academy of Sciences(CAS)Key Laboratory of Magnetic Materials and DevicesNingbo Cixi Institute of Biomedical EngineeringZhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboP.R.China Guangdong key {1. of Nanomedicine Shenzhen Engineering Laboratory of Nanomedicine and NanoformulationsCAS-HK Joint Lab for BiomaterialsResearch Laboratory for Biomedical Optics and Molecular ImagingShenzhen Key Laboratory for Molecular ImagingCAS Key Lab for Health InformaticsShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenP.R.China Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced StudyThe Hong Kong University of Science and Technology(HKUST)KowloonP.R.China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhenP.R.China

Glioma is one of the most common malignant tumors of the central nervous system,leading high mortality rates in ***-induced emission(AIE)photosensitizers-based photodynamic therapy(PDT)has emerged as a promising therapeutic strategy for least-invasive treatment of glioma,which involves local irradiation of the tumor using an external near-infrared(NIR)***,most AIE photosensitizers suffered from poorly penetration of the visible light excitation,bad spatiotemporal resolution in deep tissues and low efficient blood-brain barrier(BBB)crossing ability,which greatly limited the clinical practice of AIE photosensitizers for especially deep-seated brain tumor *** this work,we developed a multifunctional NIR-driven theranostic agent through hybrid of AIE photosensitizers TIND with rare-earth doping nanoparticles(RENPs)NaGdF4:Nd/Yb/Tm with up/down dual-mode conversion *** theranostic agent was further decorated with D-type neuropeptide DNPY for crossing BBB and targeting *** the 808-nm light irradiation,the down-conversion NIR-II luminescence could indicate the position glioma and the upconversion NIR-I luminescence could trigger the AIE photosensitizers producing reactive oxygen species to inhibit orthotopic glioma tumor growth in *** results demonstrate that the integration of Dtype neuropeptide,AIE photosensitizers and RENPs could be promising candidates for in vivo NIR-II fluorescence image-guided through-skull PDT treatments of brain tumors.

关键词： aggregation-induced emission D-type neuropeptide glioma photodynamic therapy rare-earth doping nanoparticles

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An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs

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Science China(Life Sciences) 2024年第6期67卷 1133-1154页

作者： Yang Zhang Mengyao Wang Zhenguo Li Xuan Yang Keqin Li Ao Xie Fang Dong Shihan Wang Jianbing Yan Jianxiao Liu National key {1. of Crop Genetic Improvement Huazhong Agricultural UniversityWuhan 430070China key {1. of Smart Farming for Agricultural Animals Huazhong Agricultural UniversityWuhan 430070China Hubei key {1. of Agricultural Bioinformatics Huazhong Agricultural UniversityWuhan 430070China College of informatics Huazhong Agricultural UniversityWuhan 430070China College of Life Sciences Nankai UniversityTianjin 300071China

Detecting genes that affect specific traits(such as human diseases and crop yields)is important for treating complex diseases and improving crop quality.A genome-wide association study(GWAS)provides new insights and directions for understanding complex traits by identifying important single nucleotide *** GWAS summary statistics data related to various complex traits have been gathered *** have shown that GWAS risk loci and expression quantitative trait loci(e QTLs)often have a lot of overlaps,which makes gene expression gradually become an important intermediary to reveal the regulatory role of *** this review,we review three types of gene-trait association detection methods of integrating GWAS summary statistics and e QTLs data,namely colocalization methods,transcriptome-wide association study-oriented approaches,and Mendelian randomization-related *** the theoretical level,we discussed the differences,relationships,advantages,and disadvantages of various algorithms in the three kinds of gene-trait association detection *** further discuss the performance of various methods,we summarize the significant gene sets that influence highdensity lipoprotein,low-density lipoprotein,total cholesterol,and triglyceride reported in 1. *** discuss the performance of various algorithms using the datasets of the four lipid *** advantages and limitations of various algorithms are analyzed based on experimental results,and we suggest directions for follow-up studies on detecting gene-trait associations.

关键词： gene-trait association GWAS eQTL colocalization transcriptome-wide association study(TWAS) Mendelian randomization(MR)

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Understandings of Urban Sustainability in China:a Bibliometric Analysis Using Chinese Literatures

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Journal of Geodesy and Geoinformation Science 2024年第1期7卷 105-122页

作者： WU Shuang YUE Yang LI Xuesong Department of Urban informatics School of Architecture and Urban PlanningShenzhen UniversityShenzhen 518060China Shenzhen key {1. of Spatial Smart Sensing and Services Guangdong Key Laboratory for Urban InformaticsShenzhen UniversityShenzhen 518060China.

Cities hold a critical responsibility for achieving the Sustainable Development Goals(SDGs)due to their high population density,extensive resource consumption,and significant economic *** examine the present state of understandings regarding urban sustainability(SDG 1.:Sustainable Cities and Communities)within Chinese research communities,this study collected 1.950 papers from 1.94 to 2022 on the 1. indicators of SDG 1.,from the China National Knowledge Infrastructure(CNKI),a hub of Chinese academic papers,that directly relate to *** research topics on SDG 1. were identified for each indicator using bibliometrics analysis *** high-frequency keywords and clusters of keywords over the last three decades reveal that existing studies primarily concentrated on the physical aspects,such as transportation and environment,while there is a lack of consideration of societal *** indicates a limited and biased understanding of the urban sustainability within the Chinese academic ***,it is crucial to prioritize the societal aspects in order to develop a research agenda that further advances urban sustainability.

关键词： urban sustainability SDG 1. bibliometric Chinese research communities

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BjuIR:A multi-omics database with various tools for accelerating functional genomics research in Brassica juncea

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Plant Communications 2024年第8期5卷 96-99页

作者： Linna Zhang Jinyuan Xiao Congyuan Liang Yifan Chen Changchun Yu Xinle Zhao Jiawei Li Mingli Yan Qian Yang Hao Chen Zhongsong Liu Zhengjie Wan Zhiquan Yang Qing-Yong Yang National key {1. for Germplasm Innovation and Utilization of Horticultural Crops College of InformaticsHuazhong Agricultural UniversityWuhan 430070China Hubei key {1. of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data College of InformaticsHuazhong Agricultural UniversityWuhan 430070China National key {1. of Crop Genetic Improvement Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhan 430070China Yazhouwan National laboratory Sanya 572025China National key {1. for Germplasm Innovation and Utilization of Horticultural Crops College of Horticulture and Forestry SciencesHuazhong Agricultural UniversityWuhan 430070China Crop Research Institute Hunan Academy of Agricultural SciencesChangsha 410125China College of Agronomy Hunan Agricultural UniversityChangsha 410128China

Dear Editor,Advances in high-throughput omics technologies,along with methodologies for integrating multi-omics datasets,have substantially enhanced the efficiency of identifying candidate genes in breeding(Gusev et al.,201.;Gupta et al.,201.).However,this process is often complex and *** address this challenge,databases that integrate extensive data and enable convenient and efficient functional genomics studies are being developed(Ma et al.,2021.Yang et al.,2023).

关键词： functional integrating convenient

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