检索结果-南通市图书馆

Application of FTIR two-dimensional correlation spectroscopy(2D-COS)analysis in characterizing environmental behaviors of microplastics:A systematic review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2025年第1期147卷 200-216页

作者： Shuang Peng Feipeng wang Dongbin Wei Cuiping wang Haijun Ma Yuguo du Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China North Minzu University Yinchuan 750001China

Microplastics(MPs)are ubiquitous in the environment,continuously undergo aging processes and release toxic chemical *** the environmental behaviors of MPs is critical to accurately evaluate their long-term ecological *** twodimensional correlation spectroscopy(2D-COS)is a powerful tool for MPs studies,which can dig more comprehensive information hiding in the conventional one-dimensional spectra,such as infrared(IR)and Raman *** recent applications of 2D-COS in analyzing the behaviors and fates of MPs in the environment,including their aging processes,and interactions with natural organicmatter(NOM)or other chemical substances,were summarized *** main requirements and limitations of current approaches for exploring these processes are discussed,and the corresponding strategies to address these limitations and drawbacks are proposed as ***,new trends of 2D-COS are prospected for analyzing the properties and behaviors of MPs in both natural and artificial environmental processes.

关键词： Microplastics(MPs) 2D-COS application Aging processes Interactions

Interpreting hourly mass concentrations of PM_(2.5)chemical components with an optimal deep-learning model

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2025年第5期151卷 125-139页

作者： Hongyi Li Ting Yang Yiming du Yining Tan Zifa wang State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China University of Chinese Academy of Sciences Beijing 100049China Shenyang Environmental Monitoring Center Shenyang 110167China

PM_(2.5)constitutes a complex and diversemixture that significantly impacts the environment,human health,and climate ***,existing observation and numerical simulation techniques have limitations,such as a lack of data,high acquisition costs,andmultiple *** limitations hinder the acquisition of comprehensive information on PM_(2.5)chemical composition and effectively implement refined air pollution protection and control *** this study,we developed an optimal deep learning model to acquire hourly mass concentrations of key PM_(2.5)chemical components without complex chemical *** model was trained using a randomly partitioned multivariate dataset arranged in chronological order,including atmospheric state indicators,which previous studies did not *** results showed that the correlation coefficients of key chemical components were no less than 0.96,and the root mean square errors ranged from 0.20 to 2.11μg/m^(3)for the entire process(training and testing combined).The model accurately captured the temporal characteristics of key chemical components,outperforming typical machine-learning models,previous studies,and global reanalysis datasets(such asModern-Era Retrospective analysis for Research and Applications,Version 2(MERRA-2)and Copernicus Atmosphere Monitoring Service ReAnalysis(CAMSRA)).We also quantified the feature importance using the random forest model,which showed that PM_(2.5),PM_(1),visibility,and temperature were the most influential variables for key chemical *** conclusion,this study presents a practical approach to accurately obtain chemical composition information that can contribute to filling missing data,improved air pollution monitoring and source *** approach has the potential to enhance air pollution control strategies and promote public health and environmental sustainability.

关键词： Pm2.5 chemical composition Hourly mass concentration Deep learning Bayesian optimization Feature importance

Stabilizing water and regulating interfacial electrostatic interaction with economical supporting salt for stable Zn metal anode

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2025年第2期101卷 429-436页

作者： Yiqun du Rongkai Kang Boya Zhang Han wang Jianxin Zhang School of Material Science & Engineering University of Jinan Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials (Ministry of Education) School of Materials Science and Engineering Shandong University

Developing rechargeable aqueous Zn batteries for large-scale energy storage is impeded by inadequate reversibility and stability of the Zn anode,primarily caused by parasitic reactions and heterogeneous *** study proposes an economical electrolyte strategy to address these Zn-related *** addition of a supporting salt enhances the thermodynamic stability of water,reduces the number of highly reactive water molecules,and modulates the interfacial electrostatic *** approach effectively suppresses hydrogen evolution reaction and uncontrolled ***,the rationally proportioned electrolyte allows a high average Coulombic efficiency of 99.93% for 1000 cycles in a Zn‖Cu battery and a prolonged lifespan exceeding 4800 h in Zn‖Zn *** knock-on effect is that Zn‖MnO2pouch cells deliver stable cycling performance,demonstrating the viability of this approach for practical applications.

关键词： Aqueous electrolyte Hydrogen bond Sodium citrate Solvation structure Zn anode

Lessons from Nature:Advances and Perspectives in Bionic Microwave Absorption Materials

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nano-Micro Letters 2025年第4期17卷 454-486页

作者： Dashuang wang Tuo Ping Zhilan du Xiaoying Liu Yuxin Zhang College of Materials Science and Engineering Chongqing UniversityChongqing 400044People’s Republic of China Army Logistics Academy of PLA Chongqing 401331People’s Republic of China Beijing Spacecrafts China Academy of Space TechnologyBeijing 100194People’s Republic of China

Inspired by the remarkable electromagnetic response capabilities of the complex morphologies and subtle microstructures evolved by natural organisms,this paper delves into the research advancements and future application potential of bionic microwave-absorbing materials(BMAMs).It outlines the significance of achieving high-performance microwave-absorbing materials through ingenious microstructural design and judicious composition selection,while emphasizing the innovative strategies offered by bionic ***,this work meticulously analyzes how inspiration can be drawn from the intricate structures of marine organisms,plants,animals,and nonmetallic minerals in nature to devise and develop BMAMs with superior electromagnetic wave absorption ***,the paper provides an in-depth exploration of the theoretical underpinnings of BMAMs,particularly the latest breakthroughs in broadband *** incorporating advanced methodologies such as simulation modeling and bionic gradient design,we unravel the scientific principles governing the microwave absorption mechanisms of BMAMs,thereby furnishing a solid theoretical foundation for understanding and optimizing their ***,this review aims to offer valuable insights and inspiration to researchers in related fields,fostering the collective advancement of research on BMAMs.

关键词： Bionic Structural design Microwave absorption Electromagnetic theory

维普期刊数据库

Secure beamforming and deployment design for rate-splitting multiple access-based UAV communications

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2025年第1期68卷 342-356页

作者： bing wang Xiaofeng TAO Shujun HAN Huici WU Kai YANG Zhu HAN National Engineering Research Center of Mobile Network Technologies Beijing University of Posts and Telecommunications Peng Cheng Laboratory Department of Electrical and Computer Engineering University of Houston

Rate-splitting multiple access(RSMA) has recently gained attention as a potential robust multiple access(MA)scheme for upcoming wireless networks. Given its ability to efficiently utilize wireless resources and design interference management strategies, it can be applied to unmanned aerial vehicle(UAV) networks to provide convenient services for large-scale access ground users. However, due to the line-of-sight(LoS) broadcast nature of UAV transmission, information is susceptible to eavesdropping in RSMA-based UAV networks. Moreover, the superposition of signals at the receiver in such networks becomes complicated. To cope with the challenge, we propose a two-user multi-input single-output(MISO) RSMA-based UAV secure transmission framework in downlink communication networks. In a passive eavesdropping scenario, our goal is to maximize the sum secrecy rate by optimizing the transmit beamforming and deployment location of the UAV-base station(UAV-BS),while considering quality-of-service(QoS) constraints, maximum transmit power, and flight space limitations. To address the non-convexity of the proposed problem, the optimization problem is first decoupled into two subproblems. Then, the successive convex approximation(SCA) method is employed to solve each subproblem using different propositions. In addition, an alternating optimization(AO)-based location RSMA(L-RSMA) beamforming algorithm is developed to implement joint optimization to obtain the suboptimal solution. Numerical results demonstrate that(1) the proposed L-RSMA scheme yields a28.97% higher sum secrecy rate than the baseline L-space division multiple access(SDMA) scheme;(2) the proposed L-RSMA scheme improves the security performance by 42.61% compared to the L-non-orthogonal multiple access(NOMA) scheme.

关键词： rate-splitting multiple access UAV communication precoding optimization deployment location physical layer security

同方期刊数据库

Pyroptosis,ferroptosis,and autophagy in spinal cord injury:regulatory mechanisms and therapeutic targets

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第10期20卷 2787-2806页

作者： Qingcong Zheng du wang Rongjie Lin Weihong Xu Department of Spinal Surgery the First Affiliated Hospital of Fujian Medical UniversityFuzhouFujian ProvinceChina Arthritis Clinical and Research Center Peking University People’s HospitalBeijingChina Department of Orthopedic Surgery Fujian Medical University Union HospitalFuzhouFujian ProvinceChina

Regulated cell death is a form of cell death that is actively controlled by *** studies have shown that regulated cell death plays a key role after spinal cord *** and ferroptosis are newly discovered types of regulated cell deaths that have been shown to exacerbate inflammation and lead to cell death in damaged spinal ***,a complex form of cell death that is interconnected with various regulated cell death mechanisms,has garnered significant attention in the study of spinal cord *** injury triggers not only cell death but also cellular survival *** signaling pathways play pivotal roles in influencing the processes of both deterioration and repair in spinal cord injury by regulating pyroptosis,ferroptosis,and ***,this review aims to comprehensively examine the mechanisms underlying regulated cell deaths,the signaling pathways that modulate these mechanisms,and the potential therapeutic targets for spinal cord *** analysis suggests that targeting the common regulatory signaling pathways of different regulated cell deaths could be a promising strategy to promote cell survival and enhance the repair of spinal cord ***,a holistic approach that incorporates multiple regulated cell deaths and their regulatory pathways presents a promising multi-target therapeutic strategy for the management of spinal cord injury.

关键词： autophagy cell death ferroptosis inflammation pathological mechanisms pyroptosis regulated cell death regulatory pathways spinal cord injury therapeutic targets

维普期刊数据库

Immobilization of laccase on magnetic PEGDA-CS inverse opal hydrogel for enhancement of bisphenol A degradation in aqueous solution

在线全文

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2025年第1期147卷 74-82页

作者： Mei du Jingzhang Liu Qiong wang Fengbang wang Lei Bi Chunyan Ma Maoyong Song Guibin Jiang Key Laboratory of Environmental Nanotechnology and Health Effects Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of ScienceBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China

Endocrine disruptors such as bisphenol A(BPA)adversely affect the environment and human *** are used for the efficient biodegradation of various persistent organic pollutants in an environmentally safe ***,the direct application of free laccases is generally hindered by short enzyme lifetimes,non-reusability,and the high cost of a single *** this study,laccases were immobilized on a novel magnetic threedimensional poly(ethylene glycol)diacrylate(PEGDA)-chitosan(CS)inverse opal hydrogel(LAC@MPEGDA@CS@IOH).The immobilized laccase showed significant improvement in the BPA degradation performance and superior storage stability compared with the free laccase.91.1%of 100 mg/L BPA was removed by the LAC@MPEGDA@CS@IOH in 3 hr,whereas only 50.6%of BPA was removed by the same amount of the free *** with the laccase,the outstanding BPA degradation efficiency of the LAC@MPEGDA@CS@IOH was maintained over a wider range of pH values and ***,its relative activity of was maintained at 70.4%after 10 cycles,and the system performed well in actual water *** efficientmethod for preparing immobilized laccases is simple and green,and it can be used to further develop ecofriendly biocatalysts to remove organic pollutants from wastewater.

关键词： Bisphenol A removal Laccase immobilization Chitosan Inverse opal hydrogel

Construction Monitoring and Analysis of Asymmetric Prestressed Concrete Bridge Crossing Multiple-Line Railways

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Structural durability & Health Monitoring 2025年第2期19卷 385-398页

作者： Yi wang bing wang Changwen Li Feng Zheng Yong Liu Shaohua He Guangzhou Railway Investment Construction Group Co. Ltd.Guangzhou510000China China Railway Third Bureau Group Co. LtdTaiyuan030024China School of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhou510006China

Complex bridge structures designed and constructed by humans often necessitate extensive on-site execution,which carries inherent ***,a variety of engineering practices are employed to monitor bridge *** paper presents a case study of a large-span prestressed concrete(PC)variable-section continuous girder bridge in China,proposing a feedback system for construction monitoring and establishing a finite element(FE)analysis model for the entire *** alignment of the completed bridge adheres to the initial design expectations,with maximum displacement and pre-arch differences from the ideal state measuring 6.39 and 17.7 mm,respectively,which were less than the 20 mm limit required by the ***,the stress monitoring showed that the maximum compressive stress was 10.44 MPa,which was 7.5%different from the finite element results,and better predicted the most unfavorable possible *** results demonstrate that a scientifically rigorous construction monitoring and feedback system can ensure the safety of bridge construction and meet the expected construction *** findings presented in this paper provide valuable insights for bridge construction monitoring practices.

关键词： Continuous girder bridge construction monitoring bridge alignment stress monitoring

The detection,extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2025年第1期68卷 82-92页

作者： Qianyun Yun Wen-Biao Han Yi-Yang Guo He wang Minghui du Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou 310124China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China Taiji Laboratory for Gravitational Wave Universe(Beijing/Hangzhou) University of Chinese Academy of SciencesBeijing 100049China Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu ProvinceKey Laboratory of Quantum Theory and Applications of MoELanzhou UniversityLanzhou 730000China Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China International Centre for Theoretical Physics Asia-Pacific(ICTP-AP) University of Chinese Academy of Sciences(UCAS)Beijing 100049China Center for Gravitational Wave Experiment National Microgravity LaboratoryInstitute of MechanicsChinese Academy of SciencesBeijing 100190China

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EM-RIs).This task is particularly challenging because EMRI signals are complex,lengthy,and *** this work,we introduce a 2-layer convolutional neural network(CNN)approach to detect EMRI signals for space-borne detectors,achieving a true positive rate(TPR)of 96.9%at a 1%false positive rate(FPR)for signal-to-noise ratio(SNR)from 50 to ***,the key intrinsic parameters of EMRIs such as the mass,spin of the supermassive black hole(SMBH)and the initial eccentricity of the orbit can also be inferred directly by employing a neural *** mass and spin of the SMBH can be determined at 99%and 92%*** will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform *** study underscores the potential of deep learning methods in EMRI data analysis,enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

维普期刊数据库