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High-brightness near-infrared luminescent bioprobes based on lanthanide-doped NaCrFnanoparticles

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Science China Materials 2024年

作者： Yun Xing Shiqi Yu Datao Tu Xueyuan chen State Key Laboratory of Structural Chemistry Fujian Key Laboratory of Nanomaterials and CAS Key Laboratory of Design and Assembly of Functional Nanostructures Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China University of Chinese Academy of Sciences

Over the past decade, near-infrared （NIR） luminescent materials have emerged as a frontier in photonics and material science, finding diverse applications in bioimaging, encryption,and photodetection[1]. Particularly, NIR nanoprobes are widely utilized in life science and clinical medicine because of their high spatial resolution, deep tissue penetration, low optical absorption and scattering, and minimal autofluorescence[2,3].

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A Single-Board Integrated Millimeter-Wave Asymmetric Full-Digital Beamforming Array for B5G/6G Applications

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Engineering 2024年第10期41卷 35-50页

作者： Qingqing Lin Jun Xu Kai chen Long Wang Wei Li Zhiqiang Yu Guangqi Yang Jianyi Zhou Zhe chen Jixin chen Xiaowei Zhu Wei Hong State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast UniversityNanjing 210096China Purple Mountain Laboratories Nanjing 211111China Frontiers Science Center for Mobile Information Communication and Security Southeast UniversityNanjing 210096China

In this article,a single-board integrated millimeter-wave(mm-Wave)asymmetric full-digital beamforming(AFDBF)array is developed for beyond-fifth-generation(B5G)and sixth-generation(6G)*** proposed integrated array effectively addresses the challenge of arranging a large number of ports in a full-digital array by designing vertical connections in a three-dimensional space and successfully integrating full-digital transmitting(Tx)and receiving(Rx)arrays independently in a single *** the traditional symmetric array,the proposed asymmetric array is composed of an 8×8 Tx array arranged in a square shape and an 8+8 Rx array arranged in an L *** center-to-center distance between two adjacent elements is 0.54k0 for both the Tx and Rx arrays,where k0 is the free-space wavelength at 27 *** proposed AFDBF array possesses a more compact structure and lower system hardware cost and power consumption compared with conventional brick-type full-digital *** addition,the energy efficiency of the proposed AFDBF array outperforms that of a hybrid beamforming *** measurement results indicate that the operating frequency band of the proposed array is 24.25–29.50 *** eight-element linear array within the Tx array can achieve a scanning angle ranging from-47°to+47°in both the azimuth and the elevation planes,and the measured scanning range of each eight-element Rx array is–45°to+45°.The measured maximum effective isotropic radiated power(EIRP)of the eight-element Tx array is 43.2 dBm at 28.0 GHz(considering the saturation point).Furthermore,the measured error vector magnitude(EVM)is less than 3%when 64-quadrature amplitude modulation(QAM)waveforms are used.

关键词： Full-digital beamforming array Asymmetric structure Single-board integrated Beyond fifth-generation and sixthgeneration Millimeter-wave communication Complex modulation Printed circuit board Vertical connection

AI for organic and polymer synthesis

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Science China Chemistry 2024年第8期67卷 2461-2496页

作者： Xin Hong Qi Yang Kuangbiao Liao Jianfeng Pei Mao chen Fanyang Mo Hua Lu Wen-Bin Zhang Haisen Zhou Jiaxiao chen Lebin Su Shuo-Qing Zhang Siyuan Liu Xu Huang Yi-Zhou Sun Yuxiang Wang Zexi Zhang Zhunzhun Yu Sanzhong Luo Xue-Feng Fu Shu-Li You Center of Chemistry for Frontier Technologies Department of ChemistryZhejiang UniversityHangzhou 310027China Center of Basic Molecular Science Department of ChemistryTsinghua UniversityBeijing 100084China Guangzhou National Laboratory Guangzhou 510005China Center for Quantitative Biology Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing 100871China State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceFudan UniversityShanghai 200433China School of Materials Science and Engineering Peking UniversityBeijing 100871China Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and EngineeringKey Laboratory of Polymer Chemistry and Physics of Ministry of EducationCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China AI for Science(AI4S)-Preferred Program Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China State Key Laboratory of Chemical Biology Shanghai Institute of Organic ChemistryUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200032China Department of Chemical Sciences National Natural Science Foundation of ChinaBeijing 100085China State Key Laboratory of Organometallic Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

Recent years have witnessed the transformative impact from the integration of artificial intelligence with organic and polymer synthesis. This synergy offers innovative and intelligent solutions to a range of classic problems in synthetic chemistry. These exciting advancements include the prediction of molecular property, multi-step retrosynthetic pathway planning, elucidation of the structure-performance relationship of single-step transformation, establishment of the quantitative linkage between polymer structures and their functions, design and optimization of polymerization process, prediction of the structure and sequence of biological macromolecules, as well as automated and intelligent synthesis platforms. Chemists can now explore synthetic chemistry with unprecedented precision and efficiency, creating novel reactions, catalysts, and polymer materials under the datadriven paradigm. Despite these thrilling developments, the field of artificial intelligence(AI) synthetic chemistry is still in its infancy, facing challenges and limitations in terms of data openness, model interpretability, as well as software and hardware support. This review aims to provide an overview of the current progress, key challenges, and future development suggestions in the interdisciplinary field between AI and synthetic chemistry. It is hoped that this overview will offer readers a comprehensive understanding of this emerging field, inspiring and promoting further scientific research and development.

关键词： organic synthesis polymer synthesis machine learning prediction chemical database automated synthesis

A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals

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Structural Durability & Health Monitoring 2024年第2期18卷 125-141页

作者： Shuai chen Yinwei Ma Zhongshu Wang Zongmei Xu Song Zhang Jianle Li Hao Xu Zhanjun Wu State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of TechnologyDalian116024China Beijing Aerospace Technology Institution Beijing116024China College of Water-Conservancy and Civil Engineering Shandong Agricultural UniversityTaian271000China

The safety and integrity requirements of aerospace composite structures necessitate real-time health monitoring throughout their service *** this end,distributed optical fiber sensors utilizing back Rayleigh scattering have been extensively deployed in structural health monitoring due to their advantages,such as lightweight and ease of ***,identifying the precise location of damage from the optical fiber signals remains a critical *** this paper,a novel approach which namely Modified Sliding Window Principal Component Analysis(MSWPCA)was proposed to facilitate automatic damage identification and localization via distributed optical fiber *** proposed method is able to extract signal characteristics interfered by measurement noise to improve the accuracy of damage ***,we applied the MSWPCA method to monitor and analyze the debonding propagation process in honeycomb sandwich panel *** findings demonstrate that the training model exhibits high precision in detecting the location and size of honeycomb debonding,thereby facilitating reliable and efficient online assessment of the structural health state.

关键词： Structural health monitoring distributed opticalﬁber sensor damage identiﬁcation honeycomb sandwich panel principal component analysis

High glucose promotes macrophage M1 polarization through miR-32/Mef2d/cAMP signaling pathway

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Genes & Diseases 2024年第2期11卷 539-541页

作者： Cong chen Jingsong Cao Yan Gao Xiaoping Xie Zhibo Zhao Qing Yuan Yuqi He Xuyu Zu Jianghua Liu The First Affiliated Hospital Institute of Endocrinology and MetabolismCenter for Clinical Research in DiabetesHengyang Medical SchoolUniversity of South ChinaHengyangHunan 421001China The First Affiliated Hospital Department of Laboratory MedicineHengyang Medical SchoolUniversity of South ChinaHengyangHunan 421001China The First Affiliated Hospital Institute of OncologyHengyang Medical SchoolUniversity of South ChinaHengyangHunan 421001China

Chronic inflammation is a crucial inducerof diabetesvascular *** is that high glucose easily induces macrophage activation.1 Macrophages are the principal participants in innate immunity and exist in all human *** pathological vascular,infiltrated macrophages secrete inflammatory factors leading to an increase in plaque stability.?In macrophage polarization,autophagy plays an important *** of macrophage autophagy could induce macrophage polarization from the M1 phenotype to M2 phenotype and inhibit inflammatory reactions.3 Our previous research found that high glucose condition promotes miR-32 expression and macrophage M1 polarization,4 but the mechanism of miR-32 promoting macrophage M1 polarization is *** this study,we found that,under a high-glucose condition,miR-32/Mef2d/cAMP signaling promoted M1 macrophage polarization via inhibited *** results provide a theoretical and experimental basis for the prevention and treatment of T2D vascular inflammation.

关键词： macrophage miR prevention

单层GeTe在锂/钠/钾离子电池中潜在应用的第一性原理研究

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高等学校化学学报 2024年第7期45卷 121-132页

作者：陈俊杰张瑞丹陈越集美大学诚毅学院厦门361021 福建师范大学物理与能源学院福州350117

开发具有快速充放电速率和有利于金属离子存储的负极材料对可充电金属离子电池来说意义重大.本文利用基于密度泛函理论(DFT)的第一性原理方法,探讨了具有独特锯齿状皱褶层结构的单层碲化锗(GeTe)作为锂/钠/钾离子(Li^(+)/Na^(+)/K^(+))... 详细信息

开发具有快速充放电速率和有利于金属离子存储的负极材料对可充电金属离子电池来说意义重大.本文利用基于密度泛函理论(DFT)的第一性原理方法,探讨了具有独特锯齿状皱褶层结构的单层碲化锗(GeTe)作为锂/钠/钾离子(Li^(+)/Na^(+)/K^(+))电池负极材料的应用前景.计算结果表明,单层GeTe有利于Li^(+)/Na^(+)/K^(+)的稳定吸附(-0.636,-0.794和-1.260 eV),并通过差分电荷密度及分波态密度图证明了两者之间的强相互作用.Li^(+)/Na^(+)/K^(+)在单层GeTe上的低扩散势垒(1.103,0.344和0.483 eV)以及通过分子动力学模拟计算出的扩散系数(3.65×10^(-12),2.385×10^(-10)和9.43×10^(-12)cm^(2)/s)表明,其在充放电过程中具有优异的扩散能力和快速的充放电速率.合理的开路电压(0.39,0.64和0.25 V)和高于商业石墨负极材料的理论比容量(535.4,669.2和1070.72 mA·h/g)预示单层GeTe可作为一种有前景的锂/钠/钾离子电池负极材料,同时可为其它类似皱褶层六方结构在能量转换和存储器件中的合理设计提供参考.

关键词：金属离子电池负极材料碲化锗密度泛函理论第一性原理

Clinical efficacy and safety of kyphoplasty for the treatment of osteoporotic vertebral compression fractures at different surgical timings based on the theory of“dynamic-static integration”

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Journal of Traditional Chinese Medical Sciences 2024年第1期11卷 86-92页

作者： Zunwang Li Jiang chen Dekui Li Jiayu Yang Jiaqi Qin Yuqing Guan Dongzhimen Hospital Beijing University of Chinese MedicineBeijing 100700China

Objective:To investigate the clinical efficacy and safety of percutaneous kyphoplasty at different surgical timings in the treatment of osteoporotic vertebral compression fracture(OVCF)based on the theory of“dynamic-static integration”.Methods:Patients with OVCF who underwent percutaneous kyphoplasty in our hospital were selected and divided into Groups A,B,and C for those undergoing surgery within 7,7—21,and>21 days of fracture *** variations in the amount of bone cement injected,pre-and post-operative pain levels,functional activity,deformity correction of the injured vertebrae,bone cement leakage,and vertebral body height loss were compared among the three ***:Regarding pain relief and functional activity,the postoperative Visual Analog Scale and Oswestry Disability Index scores of the three groups significantly ***,the deformities of the injured vertebrae in the three groups were significantly corrected,with Groups A and B exhibiting superior correction compared to Group ***,the bone cement leakage rates in groups A and C were higher than that in Group *** the 3-month follow-up,the loss of vertebral height in Group C was significantly higher than those in groups A and ***:Kyphoplasty is effective for OVCF *** surgery can effectively restore the vertebral height of the injured vertebra,reduce kyphosis,and reduce height loss of the injured vertebra after surgery;nevertheless,treatment within 1—3 weeks of the fracture can reduce the occurrence of bone cement leakage,making the surgery ***,surgical treatment within 1—3 weeks of fracture is safer and can achieve satisfactory therapeutic *** the perspective of traditional Chinese medicine,PKP surgery can transform the fracture end from a micromotion state to a fixed state,which fully embodies the theory of“dynamic-static integration”.

关键词： Kyphoplasty Operation timing Bone cement leakage Lost height of injured vertebra

Development of D_α band symmetrical visible optical diagnostic for boundary reconstruction on EAST tokamak

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Plasma Science and Technology 2024年第2期26卷 44-53页

作者：陈明沈飊 Shinichiro KADO 郭笔豪陈大龙蔡福瑞肖炳甲 Hefei Institutes of Physical Science Chinese Academy of SciencesHefei 230031People's Republic of China Science Island Branch Graduate School of University of Science and Technology of ChinaHefei 230026People's Republic of China Institute of Advanced Energy Kyoto UniversityUji 611-0011Japan Graduate School of Energy Science Kyoto UniversityUji 611-0011Japan

To investigate the potential of utilizing visible spectral imaging for controlling the plasma boundary shape during stable operation of plasma in future tokamak, a D_α band symmetric visible light diagnostic system was designed and implemented on the Experimental Advanced Superconducting Tokamak(EAST). This system leverages two symmetric optics for joint plasma imaging. The optical system exhibits a spatial resolution less than 2 mm at the poloidal cross-section, distortion within the field of view below 10%, and relative illumination of 91%.The high-quality images obtained enable clear observation of both the plasma boundary position and the characteristics of components within the vacuum vessel. Following system calibration and coordinate transformation, the image coordinate boundary features are mapped to the tokamak coordinate system. Utilizing this system, the plasma boundary was reconstructed, and the resulting representation showed alignment with the EFIT(Equilibrium Fitting) results. This underscores the system's superior performance in boundary reconstruction applications and provides a diagnostic foundation for boundary shape control based on visible spectral imaging.

关键词： visible optical diagnostic plasma boundary reconstruction EAST

Data collection of wireless sensor network based on trajectory optimization of laser-charged UAV

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High-Confidence Computing

High-Confidence Computing 2024年第2期4卷 116-128页

作者： Chuanwen Luo Jian Zhang Jin Qian Yi Hong Zhibo chen Yunan Hou Xiujuan Zhang Yuqing Zhu School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China College of Information Engineering Taizhou UniversityTaizhou 225300China School of Computer Science Qufu Normal UniversityRizhao 276826China Research Center of Applied Mathematics and Machine Intelligence Zhejiang LabHangzhou 311121China Department of Computer Science California State UniversityCA 90032USA

Unmanned Aerial Vehicle(UAV)can be used as wireless aerial mobile base station for collecting data from sensors in UAV-based Wireless Sensor Networks(WSNs),which is crucial for providing seamless services and improving the performance in the next generation wireless ***,since the UAV are powered by batteries with limited energy capacity,the UAV cannot complete data collection tasks of all sensors without energy replenishment when a large number of sensors are deployed over large monitoring *** overcome this problem,we study the Real-time Data Collection with Lasercharging UAV(RDCL)problem,where the UAV is utilized to collect data from a specified WSN and is recharged using Laser Beam Directors(LBDs).This problem aims to collect all sensory data from the WSN and transport it to the base station by optimizing the flight trajectory of UAV such that realtime data performance is ensured It has been proven that the RDCL problem is *** address this,we initially focus on studying two sub-problems,the Trajectory Optimization of UAV for Data Collection(TODC)problem and the Charging Trajectory Optimization of UAV(CTO)problem,whose objectives are to find the optimal flight plans of UAV in the data collection areas and charging areas,*** we propose an approximation algorithm to solve each of them with the constant ***,we present an approximation algorithm that utilizes the solutions obtained from TODC and CTO problems to address the RDCL ***,the proposed algorithm is verified by extensive simulations.

关键词： Wireless sensor networks Laser-charged UAV Trajectory optimization Data collection