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Aggregation-induced emission biomaterials for anti-pathogen medical applications:detecting,imaging and killing

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Regenerative Biomaterials 2023年第1期10卷 1003-1020页

作者： Zicong Zhang Ziwei Deng Lixun Zhu Jialin Zeng Xu Min Cai zijie qiu Zheng Zhao Ben Zhong Tang Clinical Translational Research Center of Aggregation-Induced Emission The Second Affiliated HospitalSchool of MedicineSchool of Science and EngineeringShenzhen Key Laboratory of Functional Aggregate MaterialsThe Chinese University of Hong KongShenzhenGuangdong 518172China Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Rescources International Innovation Center for Forest Chemicals and MaterialsCollege of Chemical EngineeringNanjing Forestry UniversityNanjing 210037China HKUST-Shenzhen Research Institute South Area Hi-Tech ParkNanshanShenzhenGuangdong Province 518057China Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and ReconstructionThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina

Microbial pathogens,including bacteria,fungi and viruses,greatly threaten the global public *** pathogen infections,early diagnosis and precise treatment are essential to cut the mortality *** emergence of aggregation‐induced emission(AIE)biomaterials provides an effective and promising tool for the theranostics of pathogen *** this review,the recent advances about AIE biomaterials for anti-pathogen theranostics are *** the excellent sensitivity and photostability,AIE biomaterials have been widely applied for precise diagnosis of ***,different types of anti-pathogen methods based on AIE biomaterials will be presented in detail,including chemotherapy and ***,the existing deficiencies and future development of AIE biomaterials for anti-pathogen applications will be discussed.

关键词： aggregation-induced emission fluorescence imaging pathogen differentiation pathogen inactivation

A general powder dusting method for latent fingerprint development based on AIEgens

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Science China Chemistry 2018年第8期61卷 966-970页

作者： zijie qiu Bin Hao Xinggui Gu Zhaoyu Wang Ni Xie Jacky W.Y.Lam Hongxia Hao Ben Zhong Tang Key Laboratory of Evidence Science (China University of Political Science and Law) Ministry of Education Beijing 100088 China Collaborative Innovation Center of Judicial Civilization China Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Division of Life Science State Key Laboratory of Molecular Neuroscienee Institute for Advanced Study Institute of Molecular Functional Materials Division of Biomedical Engineering the Hong Kong University of Science and Technology Clear Water Bay Kowloon China NSFC Center for Luminescence from Molecular Aggregates SCUT-HKUST Joint Research Institute State Key Laboratory of Luminescent Materials and Devices South China University of Technology Guangzhou 510640 China

Powder dusting method is the most practically useful approach for latent fingerprint development in the crime scene. Herein, a general powder dusting method has been explored for latent fingerprint development based on aggregation-induced emission luminogens(AIEgens). A series of tetraphenylethene(TPE) derivatives with multiple diphenylamine(DPA), namely, TPE-DPA,TPE-2 DPA and TPE-4 DPA, were selected as candidates to dope with magnetic powders and applied for latent fingerprint development. After screening, the magnetic powder 3 doped with TPE-4 DPA proves to be the best, in terms of fluorescent intensity, resolution and adhesiveness. Afterwards, the magnetic powder 3 was applied for visualization of latent fingerprint on various smooth and porous substrates, including glass, stainless steel, leaf, ceram, plastic bag, lime wall, wood and paper *** details, such as island, core, termination and bifurcation, can be clearly observed for the fluorescent fingerprint images.

关键词： latent fingerprint development powder dusting aggregation-induced emission

Optical-pulse-coding phase-sensitive OTDR with mismatched filtering

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Science China(Information Sciences) 2022年

作者： Yongxin LIANG Zinan WANG Shengtao LIN Yuyao WANG Jialin JIANG zijie qiu Chunye LIU Yunjiang RAO Center for Information Geoscience University of Electronic Science and Technology of China Key Lab of Optical Fiber Sensing and Communications University of Electronic Science and Technology of China Research Center for Optical Fiber Sensing

Optical-pulse-coding (OPC) phase-sensitive optical time-domain reflectometry (Φ-OTDR) sends a train of pulses into a fiber, and has high spatial resolution decided by the duration of a subpulse while achieving signal-to-noise ratio (SNR) enhancement. OPCΦ-OTDR with a shorter measurement time is favorable. However, the scan rate, which is the reciprocal of the measurement time, is not easy to *** this paper, mismatched filtering is introduced into OPCΦ-OTDR for the first time, which can reach the theoretical limit of scan rate determined by the fiber length. Also, the initial phase of each subpulse can be set arbitrarily, showing the capacity for controlling the location of interference fading. Although the design of the mismatched filter is based on the least-squares criterion, satisfactory decoding results are obtained,indicating that more advanced mismatched filter designs are worthy of further investigation to achieve higher performance.

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Bright, photostable and long-circulating NIR-Ⅱ nanoparticles for whole-process monitoring and evaluation of renal transplantation

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National Science Review 2024年第2期11卷 207-220页

作者： Rongyuan Zhang Ping Shen Yu Xiong Tianjing Wu Gang Wang Yucheng Wang Liping Zhang Han Yang Wei He Jian Du Xuedong Wei Siwei Zhang zijie qiu Weijie Zhang Zheng Zhao Ben Zhong Tang Clinical Translational Research Center of Aggregation-Induced Emission The Second Affiliated HospitalSchool of MedicineSchool of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhen(CUHK-Shenzhen) Center for AIE Research Shenzhen Key Laboratory of Polymer Science and TechnologyGuangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Materials Science and Engineering Shenzhen University School of Chemistry Xiangtan University HKUST-Shenzhen Research Institute Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction The Hong Kong University of Science and Technology Department of Urology The First Affiliated Hospital of Soochow University AIE Institute

Kidney transplantation is the gold standard for the treatment of end-stage renal diseases(ESRDs). However,the scarcity of donor kidneys has caused more and more ESRD patients to be stuck on the waiting list for transplant surgery. Improving the survival rate for renal grafts is an alternative solution to the shortage of donor kidneys. Therefore, real-time monitoring of the surgical process is crucial to the success of kidney transplantation, but efficient methods and techniques are lacking. Herein, a fluorescence technology based on bright, photostable and long-circulating aggregation-induced emission(AIE) active NIR-II nano-contrast agent DIPT-ICF nanoparticles for the whole-process monitoring and evaluation of renal transplantation has been reported. In the aggregated state, DIPT-ICF exhibits superior photophysical properties compared with the commercial dyes IR-26 and IR-1061. Besides, the long-circulating characteristic of the AIE nano-contrast agent helps to achieve renal angiography in kidney retrieval surgery,donor kidney quality evaluation, diagnosing vascular and ureteral complications, and assessment of renal graft reperfusion beyond renovascular reconstruction, which considerably outperforms the clinically approved indocyanine green(ICG).

关键词： aggregation-induced emission NIR-II imaging kidney transplantation nano-contrast agent angiography

Enhanced Emission of Molybdenum Disulfide by Organic−Inorganic Hybrid Heterojunctions

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Precision Chemistry 2023年第6期1卷 357-362页

作者： Si-Wei Zhang Fulong Ma Jinhui Jiang Zaiyu Wang zijie qiu Jacky W.Y.Lam Guodan Wei Zheng Zhao Ben Zhong Tang Department of Chemistry and the Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction The Hong Kong University of Science and Technology999077 Hong KongChina School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhen(CUHK-Shenzhen)Guangdong 518172China Tsinghua-Berkeley Shenzhen Institute Institute of Materials ScienceTsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China Tang−Department of Chemistry and the Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction The Hong Kong University of Science and Technology999077 Hong KongChina Center for Aggregation-Induced Emission South China University of TechnologyGuangzhou 510640China

Due to their excellent stability and layer-dependent photoelectronic properties,transition metal dichalcogenides(TMDs)are one of the most extensively studied two-dimensional semiconductor materials in the postgraphene ***,its low luminescence quantum yield limits its application in displays,lighting,and ***,a 1,4,5,8,9,11-hexaazatriphenylenehexacarbonitrile(HATCN)layer was grown on the surface of chemical vapor deposition(CVD)-grown monolayer molybdenum disulfide(MoS_(2))by vacuum evaporation,which increased the photoluminescence intensity of MoS_(2)by 15 *** enhanced luminescence originates from the charge transfer from the conduction band of MoS_(2)to the lowest unoccupied molecular orbital(LUMO)of HATCN,which suppresses the emission of the negatively charged exciton(trion)while increasing the emission of the neutral ***-dependent fluorescence and Raman spectra demonstrate the feasibility of organic−inorganic hybrid heterojunctions for regulating *** facile and practical organic−inorganic hybrid heterojunction can elevate TMD applications,such as light-emitting diodes.

关键词： TMDs MoS_(2) CVD photoluminescence organic−inorganic hybrid heterojunction

ASBase:The universal database for aggregate science

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Aggregate

Aggregate 2023年第1期4卷 148-157页

作者： Junyi Gong Wanjun Gong BoWu Haoran Wang Wei He Zhongyang Dai Yangzhong Li Yong Liu Zhiming Wang Xiaojun Tuo Jacky W.Y.Lam zijie qiu Zheng Zhao Ben Zhong Tang Shenzhen Institute of Aggregate Science and Technology School of Science and EngineeringThe Chinese University of Hong KongShenzhenGuangdongChina AIE-Institute State Key Laboratory of Luminescence Materials and DevicesCenter of Aggregation-induced EmissionKey Laboratory of Luminescence from Molecular Aggregates of Guangdong ProvinceSouth China University of Technology(SCUT)GuangzhouChina High Performance Computing Department National Supercomputing Center in ShenzhenShenzhenChina Department of Chemistry Hong Kong University of Science and TechnologyKowloonHong KongChina

This paper reports the first universal and versatile database on aggregate materials for the field of aggregate science *** the current stage,the database(http://119.***.135.188:8080/)contains over 1000 entries of organic aggregate material systems(mainly luminescent systems at the current stage)with a unique data structure which is designed particularly for aggregate materials and containing the photophysics and physicochemical properties of the compounds in different statuses of aggregation,including dilute solution form,pristine solid-state,stable crystalline,and nanoaggregates formed in *** web-based interface of the database provided functions to index,search,manipulate,fetch and deposit data *** addition,a background calculation service optimizes the chemical structure of new entries on different levels of *** database also provided background API for interactive developments of prediction or regression models based on machine-learning algorithms.

关键词： aggregate science aggregation-induced emission data-driven model database

基于特征函数局部结构微扰法的行为期权定价研究

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系统工程理论与实践 2022年第12期42卷 3247-3264页

作者：孙有发姚宇航邱梓杰刘彩燕广东工业大学经济与贸易学院广州510520 广东工业大学管理学院广州510520

行为资产定价模型(behavioral asset pricing model,BAPM)因其能较好地解释金融市场异象,近二十年来一直是金融学界的热门研究主题之一.然而,BAPM模型较少应用于现实期权定价,原因之一是很难获取它的特征函数表达式,导致期权解析定价公... 详细信息

行为资产定价模型(behavioral asset pricing model,BAPM)因其能较好地解释金融市场异象,近二十年来一直是金融学界的热门研究主题之一.然而,BAPM模型较少应用于现实期权定价,原因之一是很难获取它的特征函数表达式,导致期权解析定价公式的缺失.本文针对Farkas等(2017)和孙有发(2020a)提出的考虑了投资者非理性情绪以及羊群行为的一类BAPM模型,为获取该模型的特征函数解析式,首先将它解构为精确部分和待定的局部结构,然后应用微扰法和费曼卡兹定理获取该局部结构的逼近表达式,进而合成得到原始特征函数的高精度解析逼近;最后应用Fourier-Cosine方法,推导出该类BAPM模型下的欧式期权近似解析定价公式.数值实验与实证研究表明:1)与孙有发等(2020b)提出的基于一阶扰动的Fourier-Cosine定价方法相比,本文提出的基于特征函数局部结构微扰法的行为期权定价方法,在不损失效率的前提下,无论是在定价精度、还是在稳定性方面均有更优越的表现;2)将BAPM模型下的欧式期权解析定价公式应用于上证50ETF和沪深300ETF期权市场,定价精度高于现有同类研究.本文为现实市场中的行为期权提供了一种通用的定价方法框架.

关键词：行为期权定价特征函数扰动法 Fourier-Cosine方法 ETF期权

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基于批量归一化层的重要性解耦剪枝策略分析

电子技术（上海） 2024年第1期53卷 402-404页

作者：裘孜杰匡迎春湖南农业大学信息与智能科学技术学院湖南410128

阐述一种通过重要性分析进行解耦的深度学习自动稀疏-剪枝策略,通过重要性判断对神经网络强制进行通道级重要性解耦稀疏训练。该方法准确地解耦冗余通道,最小化剪枝后的精度损失。

关键词：智能技术模型剪枝模型压缩结构化剪枝

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基于深度学习算法的行为期权定价

系统管理学报 2021年第4期30卷 697-708页

作者：孙有发邱梓杰姚宇航刘彩燕广东工业大学经济与贸易学院广州510520 广东工业大学管理学院广州510520

针对一类考虑了投资者微观结构随机变迁、投资者行为存在羊群效应以及非理性情绪的高维行为资产价格模型,推导出行为期权定价偏微分方程,构建了基于深度学习算法的行为期权定价方法:首先,基于费曼卡兹公式推导出行为期权价格的迭代方程... 详细信息

针对一类考虑了投资者微观结构随机变迁、投资者行为存在羊群效应以及非理性情绪的高维行为资产价格模型,推导出行为期权定价偏微分方程,构建了基于深度学习算法的行为期权定价方法:首先,基于费曼卡兹公式推导出行为期权价格的迭代方程;然后,用神经网络来逼近迭代方程中的期权价格关于标的模型空间变量的梯度函数;最后,通过深度神经网络参数寻优得到期权价格。数值实验表明:相比蒙特卡洛方法,深度学习算法在计算高维标的资产的期权价格时,获得的结果不仅精度更好,而且效率更高;在相同精度要求下,深度学习算法所需要的仿真路径数更少。研究发现:市场中投资者的非理性情绪程度越严重,期权价格越高;股市微观结构调整速度和羊群效应,对不同成熟度市场上期权价格的影响存在异质性:在不成熟市场上,股市微观结构调整速度越快,投资者的羊群效应越严重,期权价格越高;而对于成熟市场,投资者结构回复长期均衡以及羊群效应,均起到稳定期权价格的作用。

关键词：期权定价行为金融学行为期权定价随机波动率模型深度学习