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Science China Chemistry 2022年第8期65卷 1532-1537页

作者： Danning Hu Hongye Huang ruoxin li Jinying Yuan Yen Wei Key Laboratory of Bioorganic Phosphorus Chemistry&Chemical Biology Department of ChemistryTsinghua UniversityBeijing 100084China Key Laboratory of Organic Optoelectronics&Molecular Engineering of Ministry of Education Department of ChemistryTsinghua UniversityBeijing 100084China

Organic fluorophores play essential roles in both academic and applied *** of the fluorescent molecules can be divided into aggregation-caused quenching(ACQ)and aggregation-induced emission(AIE)types based on the diverse emission properties in solution and aggregated ***,a large part of studies focuses on the ACQ-to-AIE one-way transformation and the complex synthesis of chemical bonds is inevitable in all existing *** maximize the advantages of ACQ and AIE types fluorophores and avoid complex chemosynthesis,we propose a facile strategy first realizing the reversible ACQAIE transformation with the dynamic Diels-Alder(DA)***,the fluorescent platform can monitor DA reactions in microscale ultra-sensitively and *** dynamic covalent bonds can help to develop novel fluorophores creatively,and the reversible ACQ-AIE platform is expected to offer fresh insights into the dynamic covalent chemistry.

关键词： Diels-Alder reaction dynamic covalent chemistry aggregation-induced emission aggregation-caused quenching fluorescence sensor reaction monitor

Sustainable Seawater Desalination and Energy Management:Mechanisms,Strategies,and the Way Forward

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Research 2024年第3期2023卷 595-611页

作者： Meng Wang Yen Wei ruoxin li Xin Wang Chengyu Wang Nanqi Ren Shih-Hsin Ho State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin 150001China Department of Chemistry Tsinghua UniversityBeijing 100084China Key Laboratory of Bio-based Material Science&Technology(Northeast Forestry University) Ministry of EducationHarbin 150040China.

Solar-driven desalination systems have been recognized as an effective technology to address the water ***,evaporators prepared based on advanced manufacturing technologies have emerged as a promising tool in enhancing ocean energy *** this review,we discussed the thermal conversion,energy flow,salt deposition mechanisms,and design strategies for solar-driven desalination systems,and explored how to improve the desalination performance and energy use efficiency of the systems through advanced manufacturing *** future perspectives,we determined the feasibility of coupling solar-driven solar desalination systems with multi-stage energy utilization systems and emerging artificial intelligence technologies,for which conclusions are given and new directions for future desalination system development are ***,exciting opportunities and challenges in the face of basic research and practical implementation are discussed,providing promising solutions and blueprints for green and novel desalination technologies while achieving sustainable development.

关键词： Sustainable Solar directions

Revealing the Distribution of Aggregation-Induced Emission Nanoparticles via Dual-Modality Imaging with Fluorescence and Mass Spectrometry

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Research 2021年第1期2021卷 826-834页

作者： liucheng Mao Yuming Jiang Hui Ouyang Yulin Feng ruoxin li Xiaoyong Zhang Zongxiu Nie Yen Wei The Key Laboratory of Bioorganic Phosphorus Chemistry&Chemical Biology(Ministry of Education) Department of ChemistryTsinghua UniversityBeijing 100084China Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living BiosystemsInstitute of ChemistryChinese Academy of SciencesBeijing 100190China State Key Laboratory of Innovative Drug and Efficient Energy-Saving Pharmaceutical Equipment Jiangxi University of Traditional Chinese MedicineNanchang 330006China Department of Chemistry Nanchang University999 Xuefu AvenueNanchang 330031China

Aggregation-induced emission nanoparticles(AIE NPs)are widely used in the biomedical ***,understanding the biological process of AIE NPs via fluorescence imaging is challenging because of the strong background and poor penetration ***,we present a novel dual-modality imaging strategy that combines fluorescence imaging and label-free laser desorption/ionization mass spectrometry imaging(LDI MSI)to map and quantify the biodistribution of AIE NPs(TPAFN-F127 NPs)by monitoring the intrinsic photoluminescence and mass spectrometry signal of the AIE *** discovered that TPAFN-F127 NPs were predominantly distributed in the liver and spleen,and most gradually excreted from the body after 5 *** accumulation and retention of TPAFN-F127 NPs in tumor sites were also confirmed in a tumor-bearing mouse *** a proof of concept,the suborgan distribution of TPAFN-F127 NPs in the spleen was visualized by LDI MSI,and the results revealed that TPAFN-F127 NPs were mainly distributed in the red pulp of the spleen with extremely high concentrations within the marginal *** in vivo toxicity test demonstrated that TPAFN-F127 NPs are nontoxic for a long-term *** dual-modality imaging strategy provides some insights into the fine distribution of AIE NPs and might also be extended to other polymeric NPs to evaluate their distribution and drug release behaviors in vivo.

关键词： spleen distribution retention

A machine learning-based strategy for predicting the mechanical strength of coral reef limestone using X-ray computed tomography

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第7期16卷 2790-2800页

作者： Kai Wu Qingshan Meng ruoxin li Le Luo Qin Ke ChiWang Chenghao Ma State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China University of Chinese Academy of Sciences Beijing100049China State Key Laboratory of Water Resources and Hydropower Engineering Science Institute of Engineering Risk and Disaster PreventionWuhan UniversityWuhan430072China

Different sedimentary zones in coral reefs lead to significant anisotropy in the pore structure of coral reef limestone(CRL),making it difficult to study mechanical *** X-ray computed tomography(CT),112 CRL samples were utilized for training the support vector machine(SVM)-,random forest(RF)-,and back propagation neural network(BPNN)-based models,***,the machine learning model was embedded into genetic algorithm(GA)for parameter optimization to effectively predict uniaxial compressive strength(UCS)of *** indicate that the BPNN model with five hidden layers presents the best training effect in the data set of *** SVM-based model shows a tendency to overfitting in the training set and poor generalization ability in the testing *** RF-based model is suitable for training CRL samples with large *** of Pearson correlation coefficient matrix and the percentage increment method of performance metrics shows that the dry density,pore structure,and porosity of CRL are strongly correlated to ***,the P-wave velocity is almost uncorrelated to the UCS,which is significantly distinct from the law for homogenous *** addition,the pore tensor proposed in this paper can effectively reflect the pore structure of coral framework limestone(CFL)and coral boulder limestone(CBL),realizing the quantitative characterization of the heterogeneity and anisotropy of *** pore tensor provides a feasible idea to establish the relationship between pore structure and mechanical behavior of CRL.

关键词： Coral reef limestone(CRL) Machine learning Pore tensor X-ray computed tomography(CT)

A Combined Method of Temporal Convolutional Mechanism and Wavelet Decomposition for State Estimation of Photovoltaic Power Plants

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Computers, Materials & Continua 2024年第11期81卷 3063-3077页

作者： Shaoxiong Wu ruoxin li Xiaofeng Tao Hailong Wu Ping Miao Yang Lu Yanyan Lu Qi liu li Pan NARI Information&Communication Technology Co. Ltd.Nanjing210008China School of Software Nanjing University of Information Science&TechnologyNanjing210044China

Time series prediction has always been an important problem in the field of machine *** them,power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulating their control *** power load forecasting often has poor feature extraction performance for long time *** this paper,a new deep learning framework Residual Stacked Temporal Long Short-Term Memory(RST-LSTM)is proposed,which combines wavelet decomposition and time convolutional memory network to solve the problem of feature extraction for long *** network framework of RST-LSTM consists of two parts:one is a stacked time convolutional memory unit module for global and local feature extraction,and the other is a residual combination optimization module to reduce model ***,this paper demonstrates through various experimental indicators that RST-LSTM achieves significant performance improvements in both overall and local prediction accuracy compared to some state-of-the-art baseline methods.

关键词： Times series forecasting long short term memory network(LSTM) time convolutional network(TCN) wavelet decomposition

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鸟巢烷二萜关键中间体的合成

有机化学 2020年第7期40卷 2148-2152页

作者：李若馨韩锐高锦明西北农林科技大学化学与药学院陕西省天然产物化学生物学重点实验室陕西杨陵712100

开发了一种鸟巢烷型二萜类天然产物关键二环[5/6]中间体的合成策略,该策略涉及亲核取代反应、自由基关环反应、Johnson-Claisen重排和格氏加成等一系列反应,并对反应条件进行优化.该路线具有高效、简洁的优点,在此类天然产物的全合成中... 详细信息

开发了一种鸟巢烷型二萜类天然产物关键二环[5/6]中间体的合成策略,该策略涉及亲核取代反应、自由基关环反应、Johnson-Claisen重排和格氏加成等一系列反应,并对反应条件进行优化.该路线具有高效、简洁的优点,在此类天然产物的全合成中有较大的应用潜力.

关键词：鸟巢烷型二萜天然产物亲核取代 Claisen重排

CEO激励、媒体关注与内部控制有效性的关系研究

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审计与经济研究 2017年第2期32卷 35-45页

作者：许瑜冯均科李若昕西北大学经济管理学院陕西西安710127 西安外国语大学商学院陕西西安710128

以2012—2014年我国A股上市公司为样本,检验CEO激励、媒体关注与内部控制有效性之间的关系。研究发现,媒体关注能明显提升企业内部控制有效性,CEO激励能显著强化该效果,但CEO持股并未在网络媒体提升内部控制有效性方面起到调节作用。上... 详细信息

以2012—2014年我国A股上市公司为样本,检验CEO激励、媒体关注与内部控制有效性之间的关系。研究发现,媒体关注能明显提升企业内部控制有效性,CEO激励能显著强化该效果,但CEO持股并未在网络媒体提升内部控制有效性方面起到调节作用。上述结论在不同产权结构的企业中有所差异。进一步检验发现,CEO激励对于内部控制有效性的提升也起到直接促进作用。研究结论肯定了媒体监督的外部治理功能,同时表明内外部治理的共同作用对于提升企业内部控制有效性更加关键。

关键词： CEO激励媒体关注内部控制有效性内部控制质量公司治理盈余管理会计信息质量

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基于都柏林核心元素集的口述档案元数据方案

档案学研究 2020年第3期 129-136页

作者：聂勇浩李若欣中山大学资讯管理学院广州510006

口述档案是特定群体构建和保存集体记忆的重要载体。近年来,各种口述史项目形成了数量众多的口述档案数字资源。但是,由于缺乏相应的标准,这些数字资源的元数据都存在一定的不规范现象,制约着后续的开发、利用以及共享。本文以都柏林核... 详细信息

口述档案是特定群体构建和保存集体记忆的重要载体。近年来,各种口述史项目形成了数量众多的口述档案数字资源。但是,由于缺乏相应的标准,这些数字资源的元数据都存在一定的不规范现象,制约着后续的开发、利用以及共享。本文以都柏林核心元素集(Dublin Core)为基础,结合对国内15个和国外12个口述史项目数据库的网络调查,提出了一个由22个元素构成的口述档案元数据方案。通过对顺德图书馆"顺德·口述历史"项目的案例检验,表明这一元数据方案对于口述档案有着较好的适用性。

关键词：口述档案元数据都柏林核心元素集

中国对“一带一路”沿线国家货物出口贸易潜力

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经济地理 2018年第9期38卷 30-37页

作者：汤春玲邵敬岚李若昕王帅中南林业科技大学经济学院中南林业科技大学国际学院湘潭大学信息工程学院

利用扩展的引力模型实证分析了中国向'一带一路'沿线61个国家货物出口贸易的贸易潜力。结果表明'一带一路'沿线国的人口数量、中国和沿线国GDP、贸易自由度指数、两国之间的距离及是否使用共同语言等因素对中国向沿线国的货物出口贸易... 详细信息

利用扩展的引力模型实证分析了中国向'一带一路'沿线61个国家货物出口贸易的贸易潜力。结果表明'一带一路'沿线国的人口数量、中国和沿线国GDP、贸易自由度指数、两国之间的距离及是否使用共同语言等因素对中国向沿线国的货物出口贸易有显著影响。在沿线61个出口市场中,以欧洲各国为主的11个国家属于'潜力再造型'国家,中国对其出口贸易潜力十分有限;以俄罗斯、中东欧及中东地区各国为主的共34个国家属于'潜力开拓型'国家,这些国家仍然有一定的出口潜力待挖掘;以中亚和南亚为主的16个国家属于'潜力巨大型',这些国家大多是中国货物出口的'小型市场',还存在很大的潜在市场空间。

关键词： “一带一路”倡议货物出口贸易潜力

基于CFD-PID方法的仿生鱼自推进运动研究

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水动力学研究与进展（A辑） 2024年第1期39卷 104-108页

作者：王鹏飞李若欣于凯哈尔滨工程大学青岛创新发展中心青岛266400 哈尔滨工程大学船舶工程学院哈尔滨150000

相较于传统的螺旋桨推进方式,水下仿生推进具有灵活、高效及对环境干扰小等优势。该文在求解不可压N-S方程和牛顿第二定律的基础上,嵌入PID控制算法,构建CFD-PID求解器,模拟主动控制下的仿生鱼自推进运动。通过PID算法动态调节仿生鱼摆... 详细信息

相较于传统的螺旋桨推进方式,水下仿生推进具有灵活、高效及对环境干扰小等优势。该文在求解不可压N-S方程和牛顿第二定律的基础上,嵌入PID控制算法,构建CFD-PID求解器,模拟主动控制下的仿生鱼自推进运动。通过PID算法动态调节仿生鱼摆幅,间接控制其速度,使仿生鱼可以达到任意特定的收敛速度。与常规方式自推进相比,PID控制自推进能更快地加速到预定速度,且在加速时期产生更大尺度的涡,最终的动态平衡状态则与常规方式自推进一致。

关键词：仿生鱼自推进 PID控制 BCF模式