检索结果-内蒙古大学图书馆

Atomically thin MoS_(2)with ultra-low friction properties based on strong interface interaction

Friction 2025年第4期13卷 139-148页

作者： Xinjian He Tongtong Yu Zishuai Wu Changhe Du Haoyu Deng Yongkang Zhao Shuang Li Yange Feng Liqiang Zhang Zhinan Zhang Daoai Wang State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Center of Materials Science and Optoelectronics Engineering University of ChineseAcademy of SciencesBeijing 100049China Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai Yantai 265503China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Qingdao Center of Resource Chemistry and New Materials Qingdao 266100China

Atomically thin lubrication materials with anti-friction properties are crucial for reducing energy consumption and extending the servicelifeofmicro/nanoelectromechanical systems(MEMS/NEMS).However,achieving atomically thin films with ultra-low friction properties at the atomic/nanoscale even at the micrometer scale presents significant *** this study,large-size and high-quality monolayer MoS_(2)(ML MoS_(2))was grown on SiO2/Si substrate by chemical vapor deposition(CVD)*** with mechanically exfoliated ML MoS_(2),the CVD-grown ML MoS,(CVD-MoS_(2))exhibits an ultra-lower friction coefficient(0.00904).Based on the stick-slip effect and Prandtl-Tomlinson(P-T)model,the reduction of puckering effect indicates stronger interaction and lower interface potential barrier in tip,CVD-MoS_(2),and SiO,/Si substrate ***,combining with the density functional theory calculations,the stronger interface adhesion and higher overall charge redistribution degree of CVD-MoS_(2)can also be used to explain its ultralow friction *** work will provide theoretical guidance for designing ultra-thin lubricating materials with ultra-low friction properties.

关键词： chemical vapor deposition(CVD) MoS_(2) ultra-thin ultra-low friction interface interaction

来源：评论

学校读者我要写书评

暂无评论

Experimental and Modeling Study on Void Fraction using Thermal Distribution Sensor in Horizontal Annular Flow

引用

IEEE Sensors Journal 2025年第10期25卷 17640-17649页

作者： Zhao, Ning Chen, Xiangyi Sun, Mingcong Song, Yajing Fang, Lide Li, Zhibin Hebei University College of Quality and Technical Supervision Hebei Baoding071000 China National and Local Joint Engineering Research Center of Metrology Instrument and System Hebei Baoding071002 China Chengdu University of Information Technology School of Software Engineering Chengdu610225 China Sichuan University of Arts and Science Dazhou Key Laboratory of Government Data Security Sichuan Dazhou635000 China Chinese Academy of Sciences Xinjiang Technical Institute of Physics & Chemistry Urumqi830011 China

The void fraction is an important parameter to characterize the characteristics of annular flow, which is an important precondition for calculating the flow velocity, average density, pressure gradient and analyzing the flow status. Based on the principle of convective heat transfer, the effects of the void fraction α and the liquid Froude number Frl on the heat transfer coefficient h of annular flow are analyzed. The thermal distribution sensor of constant power type is designed in this paper. Air-water annular flow experiments have been conducted in a stainless-steel tubular test section having an inside diameter 17.0 mm on the high-precision small-diameter two-phase flow experimental device of Hebei University. The 75 sets of temperature T at four angles (0°, 90°, 180°, 270°) of pipe circumference and entrainment E under different flow conditions were collected. Utilizing the S. L. Smith correlation, the void fraction are calculated. By introducing dimensionless heat transfer coefficient h+, the prediction correlation of void fraction α which could acceptably handle the data is proposed. Laboratory results indicate that the relative error of 99% the data are within ± 3% error band, the mean absolute percentage error (MAPE) of the correlation is 0.63%, and the root mean square error (RMSE) is 0.76%. © 2001-2012 IEEE.

关键词： Void fraction

来源：评论

学校读者我要写书评

暂无评论

Chitosan-tripolyphosphate nanoparticles as a novel vehicle for DNA vaccine delivery: combatting Aeromonas hydrophila in zebrafish

引用

Aquaculture International 2025年第3期33卷 1-23页

作者： Prem, Pradisha Kamaraj, Chinnaperumal Vimal, Sugumar Al-Ghanim, Khalid A. Vetrivel, Cittrarsu Thirumalaikumar, Eswaramoorthy Department of Biotechnology Faculty of Science and Humanities SRM Institute of Science and Technology (SRMIST) Kattankulatur Tamil Nadu Chennai 603 203 India Directorate of Research Interdisciplinary Institute of Indian System of Medicine SRM Institute of Science and Technology Tamil Nadu Kattankulathur 603203 India Department of Biochemistry Saveetha Medical College & Hospital Saveetha Institute of Medical and Technical Sciences Thandalam Tamil Nadu Chennai 602105 India Department of Zoology College of Science King Saud University P.O. Box 11451 Riyadh Saudi Arabia International Joint Laboratory on Synthetic Biology and Biomass Biorefinery School of Emergency Management School of the Environment and Safety Engineering Biofuels Institute Jiangsu University Zhenjiang 212013 China Centre for Aquaculture Sathyabama Institute of Science and Technology Rajiv Gandhi Road Jeppiaar Nagar Tamil Nadu Chennai 600119 India

Over the past few decades, aquaculture has been steering the giant wheel of the world’s food production system. A number of significant diseases, such as dropsy, swelling of tissues, and haemorrhagic septicemia, are triggered by various bacterial species. In this study, we aimed to develop and achieve oral delivery of pVAX-Aly (Aerolysin) DNA vaccines in biodegradable nanoparticles using a zebrafish (Danio rerio) model to enhance defence against Aeromonas hydrophila infection. We utilized the pathogenic gene Aerolysin (Aly), which is linked to the virulence of A. hydrophila, to construct a DNA vaccine using the pVAX1 vector, designated as the pVAX-Aly DNA vaccine. Additionally, chitosan-tripolyphosphate nanoparticles (Cs/TPP-NPs) were formulated, functional groups were characterized by Fourier Transform Infrared (FT-IR) spectroscopy, morphology was determined by Field Emission Scanning Electron Microscopy (FE-SEM) (50.6 nm ± 52.8 nm), and transmission electron microscopy (TEM) imaging showed dimensions of ~ 0.5 to 1 µm. The Cs/TPP-NPs were utilized to encapsulate the pVAX-Aly DNA vaccine. The effectiveness of encapsulation of Cs/TPP-NPs was determined to be 78.5%. The lyophilized pVAX-Aly DNA-Cs/TPP complex preparations were fed to the fish, and the tissue distribution of pVAX-Aly was studied by polymerase chain reaction (PCR). Histopathological examination suggested no cell lesions and no negative impact on the vaccinated fish. Furthermore, quantitative real-time PCR (qRT-PCR) was assessed, and the immune-related genes transferrin, lysozyme, tumor necrosis factor-alpha (TNF-α), and heat shock protein 70 (HSP70) also exhibited significantly higher expression after immunization. Additionally, the exposure of different concentrations of Cs/TPP-NPs to Danio rerio fibroblast (DrF) cell lines revealed no significant morphological abnormalities. The findings from this study demonstrated that the Cs/TPP-NPs encapsulated DNA vaccine administered through feed could improve d

关键词： Aeromonas hydropila Chitosan nanoparticle DNA vaccines DrF cell line pVAX-Aly

来源：评论

学校读者我要写书评

暂无评论

Optimal Multi-Perturbation and Multi-Constraint Mission Planning for On-Orbit Refueling in Geo Satellites

SSRN

引用

SSRN 2025年

作者： Li, Xinhan Yan, Shuai Wang, Lijiao Li, Zhi Zhou, Qi School of Aerospace Engineering Huazhong University of Science & Technology Wuhan430074 China Beijing Institute of Control Engineering Beijing100094 China Beijing Institute of Spacecraft System Engineering Beijing100094 China

On-Orbit Refueling (OOR) mission planning for Geostationary Earth Orbit (GEO) satellites is of significant importance for enhancing spacecraft service efficiency and reducing operational losses during mission execution. To address the challenges posed by multi-perturbation and multi-constraint in space on OOR mission planning, this paper proposes a Multi-Perturbation Compensation Bi-Level Planning Model (MPC-BPM). This model aims to solve the issues of trajectory deviation control during satellite transfer under multi-perturbation and optimal task allocation under multi-constraint. Firstly, a perturbation compensation model is constructed to account for various perturbative factors involved in OOR mission planning, such as the J2 nonspherical perturbation, solar radiation pressure, and three-body gravity. Subsequently, in the outer layer of MPC-BPM, an Improved Genetic Algorithm (IGA) is proposed to optimize the allocation and sequencing of service tasks, addressing discrete variables and combinatorial optimization problems to enhance the rationality of task scheduling and execution efficiency. In the inner layer of MPC-BPM, combined with the perturbation compensation model, a Velocity-updated Neural Population Dynamics Optimization Algorithm (VNPDOA) is proposed to handle continuous variables and complex nonlinear optimization problems, achieving optimal fuel consumption under multi-constraint conditions. Simulations using real satellite data reveal that MPC-BPM surpasses three other comparative models in convergence speed, fuel efficiency, and trajectory accuracy, conserving a minimum of 350 kg of fuel under identical conditions. After applying the perturbation compensation model, the cumulative error during orbital transfers is significantly reduced, and the transfer precision is improved to the 0.001 km level. Overall, experimental results fully demonstrate the effectiveness and reliability of MPC-BPM in OOR mission planning under multi-perturbation and multi-co

关键词： Orbital transfer

来源：评论

学校读者我要写书评

暂无评论

Brain Tumour Identification Using MRI Images: Classification and Optimization Based Random-Coupled Neural Network with Cat Hunting Optimization

Brain Tumour Identification Using MRI Images: Classification...

引用

Machine Learning and Autonomous systems (ICMLAS), International Conference on

作者： Nandini N P. Vanajakshi Vidyarani H J Vani B A Vinod Kumar K P Shwethasree R Department of Computer Science and Engineering Dr. Ambedkar Institute of Technology Bangalore Karnataka Department of Information Science and Engineering Vivekananda Institute of Technology Bangalore Karnataka Department of Computer Science and Business System Dr. Ambedkar Institute of Technology Bangalore Karnataka Department of Information Science and Engineering Sri Krishna Institute of Technology Bangalore Karnataka Department of Computer Science and Engineering Dr Ambedkar Institute of Technology Bangalore Karnataka

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Tumors in the brains may be Benign or malignant but they are growths of cells in the brain. Aches, seizures, vomiting, dementia, and impaired vision are generic symptoms of the ailment. In early diagnosis, detection of the disease and determining the right treatment method for the patients MRI scans are important. There are a number of Deep Learning-based detection techniques available, however their accuracy and error rates may be low. This study uses a Random-Coupled Neural Network with Cat Hunting Optimization (RCNNet-CHOpt) to identify and classify brain tumor in order to get around these issues. Only one kind of BraTS dataset is used by the suggested approach: The filters to enhance image quality and reduce noise, the input images are pre-processed using the Adaptive and Propagated Mesh Filtering (APMF). This is followed by feature extraction and classification using Mellin Transform (M-Trans) with Random-Coupled Neural Network (R-CNN). When combined, these two networks can accurately classify the images and identify important elements. Finally, to increase accuracy, the weight parameter of R-CNN is modified using the Cat Hunting Optimization (CHO) technique. The proposed method has a 99.8% recall and a 99.9% accuracy rate, outperforming existing methods. Among the primary advantages of the RCNNet-CHOpt are decreased false-positive rates and enhanced precision in identifying intricate brain tumor formations. Hence, it is an especially useful tool for clinical use in the identification of brain tumor because most of these applications manage large volumes of medical data.

关键词： Accuracy Magnetic resonance imaging Noise Brain tumors Medical treatment Transforms Real-time systems Optimization Biological neural networks Monitoring

来源：评论

学校读者我要写书评

暂无评论

Electrical properties of PVDF/PZT composite films prepared by direct ink writing

引用

Journal of Central South University 2025年第1期32卷 71-81页

作者： ZHOU Run-kai YANG Hong PENG Chao-qun WANG Ri-chu ZHANG Dou FANG Guang-qiang WANG Xiao-feng School of Materials Science and Engineering Central South UniversityChangsha 410083China State Key Laboratory of Powder Metallurgy Central South UniversityChangsha 410083China National Key Laboratory of Aerospace Mechanism Institute of Aerospace System Engineering ShanghaiShanghai 201108China

Polyvinylidene fluoride/lead zirconate titanate(PVDF/PZT)composite films have been prepared by direct ink writing and the effect of PZT content on crystallization behavior and electrical properties of film were systematically *** composite films were characterized by scanning electron microscope(SEM),X-ray diffractometer(XRD),Flourier transform infrared spectroscope(FTIR)and differential scanning calorimeter(DSC).The results show that,surface modified PZT powder(PZT@PDA)is successfully coated by polydopamine(PDA),resulting in a large number of polar groups that interact with the-CF_(2)-groups in PVDF,inducing the generation of polarβphase due to hydrogen bonding formed in the ***βphase content in composite film increases with increasing PZT@PDA content,up to 28.09%as with 5 wt.%PZT@***@PDA plays a role of nucleating agent to promote the generation of polar phases in the film and also acts as an impurity hindering the growth of nuclei to reduce ***,the presence of PZT@PDA in interfaces provides more sites for the occurrence of interfacial polarization and thus improving the electrical properties of *** composite film with 5 wt.%PZT@PDA possesses the highest dielectric constant(8.61)and residual polarization value(0.6803μC/cm^(2)).

关键词： polyvinylidene fluoride(PVDF) lead zirconate titanate(PZT) direct ink writing crystallization behaviour electrical properties

来源：评论

学校读者我要写书评

暂无评论

Revealing the significant role of band structure asymmetry on thermoelectric bipolar conduction

引用

Physical Review B 2025年第4期111卷 045203-045203页

作者： Jiamin Qiu Shizhen Zhi Peng Zhao Jian Wang Xiaojing Ma Sheng Ye Chenhao Lin Xuanhe Zhang Zuoxu Wu School of Materials Science and Engineering and Institute of Materials Genome and Big Data Harbin Institute of Technology Shenzhen 518055 People's Republic of China School of Science and Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen 518055 China

Bipolar conduction, which is widely observed in various materials, plays a deleterious role in the thermoelectric properties. Traditionally, the single-band model is often applied to understand the transport properties of thermoelectric materials. However, it ignores the contribution from minority carriers and is incapable of quantifying the bipolar conduction. Herein, a general and feasible approach for calculating all the temperature-dependent transport properties based on the two-band model has been developed. In addition to the reduced electron Fermi energy and reduced band-gap energy, band structure asymmetry has been identified to play a significant role in bipolar conduction. Importantly, the effect of band structure asymmetry on bipolar conduction has been highlighted by using the Mg3Bi2−xSbx alloy as a typical example. Our results demonstrate that the band structure asymmetry is of great significance to the materials' thermoelectric performance.

关键词： Energy gap

来源：评论

学校读者我要写书评

暂无评论

Reinforcement Learning-Based Low-Delay Data Collection in UAV-Assisted IoT for Secondary Geological Hazard Monitoring

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Fu, Xiuwen Song, Xiaoluoteng Pace, Pasquale Aloi, Gianluca Fortino, Giancarlo Shanghai Maritime University Institute of Logistics Engineering College Shanghai201306 China Shanghai Maritime University Institute of Logistics Science and Engineering Shanghai201306 China University of Calabria Department of Informatics Modeling Electronics and System Engineering Rende87036 Italy

The complexity and suddenness of secondary geological disasters make it difficult to predict the risks in advance. Therefore, implementing rapid and sustainable monitoring of these hazards is crucial. However, due to the variability of geological disasters across regions and their evolution over time, ensuring timely data collection and the ability to respond flexibly to disaster conditions presents a significant challenge. This paper designs a heterogeneous unmanned aerial vehicles (UAV)-assisted Internet of Things (IoT) system architecture for secondary disaster monitoring scenarios, including the follower UAV (FUAV) and the collector UAV (CUAV). Based on this architecture, a reinforcement learning-based low-delay data collection scheme (RLDC) is introduced. The scheme prioritizes the data collection from sensor nodes (SNs) with higher importance and dynamically plans the paths of UAVs to adapt to environmental changes. First, to address the challenge of data delay caused by the inability to precisely locate SNs, a path search algorithm based on fuzzy SN location is proposed. Second, to reduce data transmission delay between the FUAV and the CUAV, a load status update algorithm for FUAV is presented. Lastly, considering the dynamic changes in the importance of SNs, a bidirectional long short-term memory network multi-agent deep deterministic policy gradient path planning algorithm (BMADDPG) is proposed. Extensive experimental results demonstrate that the scheme can adapt to dynamic secondary geological disaster monitoring scenarios and achieve low-delay data collection from SNs. © 1967-2012 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

A third-party platoon coordination service: Pricing under government subsidies

A third-party platoon coordination service: Pricing under go...

引用

作者： Bai, Ting Johansson, Alexander Li, Shaoyuan Johansson, Karl Henrik Mårtensson, Jonas School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden KTH Royal Institute of Technology Stockholm Sweden Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China Digital Futures Stockholm Sweden

This paper models a platooning system consisting of trucks and a third-party service provider (TPSP), which performs platoon coordination, distributes the platooning profit in platoons, and charges trucks in exchange for the services. Government subsidies used to incentivize platooning are also considered. We propose a pricing rule for the TPSP, which keeps part of the platooning profit including the subsidy each time a platoon is formed. In addition, a platoon coordination solution based on the distributed model predictive control (MPC) is proposed, in which the pricing rule under government subsidies is integrated. We perform a realistic simulation over the Swedish road network to evaluate the impact of the pricing rule and subsidies on the achieved profits and fuel savings. Our results show that subsidies are an effective mean to boost fuel savings from platooning. Moreover, the simulation study indicates that high pricing corresponds to a low platooning rate of the system, as trucks' incentives for platooning decrease. © 2023 The Authors. Asian Journal of Control published by John Wiley & Sons Australia, Ltd on behalf of Chinese Automatic Control Society.

关键词： Trucks

来源：评论

学校读者我要写书评

暂无评论

Multi-feature Classification and Recognition Method of Underwater Acoustic Signal based on Deep Decomposition 16

Multi-feature Classification and Recognition Method of Under...

引用

16th International Conference on Signal Processing systems, ICSPS 2024

作者： Liu, Feng Ji, Yongqiang Li, Zipeng Yang, Kunde School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Xi’an710072 China Ministry of Industry and Information Technology Shaanxi Xi’an710072 China Ocean Institute of Northwestern Polytechnical University Jiangsu Taicang215400 China China State Shipbuilding Corporation Limited System Engineering Research Institute Beijing100094 China

ISBN: (纸本)9781510689251

The classification and recognition of underwater acoustic signal (UAS) is an important way to achieve surface and underwater sensing, which is of great significance to modern naval warfare and marine ecological protection. Due to the complex underwater marine environment and serious background noise interference, UAS often has ‘three non-’ features-non-Gaussian, non-stationary and non-linear. Therefore, how to effectively classify and recognize them in real time has always been a problem for hydroacoustic workers. In this paper, a multi-feature classification and recognition method of UAS based on deep decomposition is proposed. Firstly, considering the shortcomings of variational mode decomposition (VMD) such as the difficulty of determining the initial parameters and the endpoint effect of empirical mode decomposition (EMD), we use EMD to decompose the UAS once and decompose the number of layers is determined as the K value of the VMD. For the initial parameter α of the VMD, a geometric mean optimizer (GMO) is used to select the optimal value. This can not only make full use of the advantages of EMD and VMD, but also avoid their shortcomings. Next, the intrinsic mode functions (IMFs) processed by EMD is divided into low complexity and high complexity, and the component with the strongest correlation with the undecomposed signal is selected from the low complexity IMF as the Feature IMFx. Then, the high complexity IMFs are deeply decomposed using the EVMD to select the IMFs with the strongest and the second strongest correlation with the original signals as Feature IMFy and Feature IMFz. Finally, based on Feature IMFx, Feature IMFy, Feature IMFz, fluctuation-based entropy and convolutional neural network are used for classification and recognition. After numerical experiments the recognition accuracy of ShipsEar dataset and NPU dataset can be obtained as 90.2% and 91.7% respectively. © 2025 SPIE.

关键词： Variational mode decomposition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：