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Surface modification of fabrics using dielectric barrier discharge plasma for improved antifouling performance

Plasma Science and Technology 2025年第1期27卷 7-16页

作者： Jian SHEN Fajun WANG wei wei Jie MA Junjie WANG Liangliang LIN School of Materials and Chemical Engineering Ningbo University of TechnologyNingbo 315211People’s Republic of China Key Laboratory of Synthetic and Biological Colloids Ministry of EducationSchool of Chemical and Material EngineeringJiangnan UniversityWuxi 214122People’s Republic of China Mount Taishan Institute of Science and Technology Tai’an 271000People’s Republic of China

Surface modification of fabrics is an effective way to endow them with antifouling properties while still maintaining their key advantages such as comfort,softness and ***,an atmospheric pressure dielectric barrier discharge(DBD)plasma method is demonstrated for the processing of silk fabrics using 1H,1H,2H,2H-perfluorodecyltriethoxysilane(PFDS)as the *** results showed the successful grafting of PFDS groups onto the surface of silk fabrics without causing ***,the gas temperature is rather low during the whole processing procedure,suggesting the non-equilibrium characteristics of DBD *** influence on fabrics of the processing parameters(PFDS concentration,plasma treatment time and plasma discharge power)was systematically *** optimum processing condition was determined to be a PFDS concentration of 8wt%,a plasma processing time of 40 s and a plasma power of 11.87 ***,with prolonged plasma processing time or enhanced plasma power,the plasma-grafted PFDS films could be *** study revealed that plasma processing of silk fabrics with PFDS would lead to a change in their chemical composition and surface *** a result,the surface energy of the fabrics was reduced,accompanied by improved water and oil repellency as well as enhanced antifouling ***,the plasma-grafted PFDS films also had good durability and *** extending the method to polyester and wool against different oil-/water-based stains,the DBD plasma surface modification technique demonstrated good versatility in improving the antifouling properties of *** work provides guidance for the surface modification of fabrics using DBD plasma to confer them with desirable functionalities.

关键词： DBD plasma plasma surface modification silk fabrics water and oil repellency antifouling property

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AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

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Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong Wang Chen Wang Wenying Zheng wei Gu School of Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Computer Science and Technology(School of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.

关键词： Smart grid data security privacy protection artificial intelligence data aggregation

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Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

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Energy Engineering 2025年第1期122卷 243-264页

作者： Liyao Yang Hongyan Ma Yingda Zhang wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China Institute of Distributed Energy Storage Safety Big Data Beijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044China

Accurately estimating the State of Health(SOH)and Remaining Useful Life(RUL)of lithium-ion batteries(LIBs)is crucial for the continuous and stable operation of battery management ***,due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance,direct measurement of SOH and RUL is *** address these issues,the Twin Support Vector Machine(TWSVM)method is proposed to predict SOH and ***,the constant current charging time of the lithium battery is extracted as a health indicator(HI),decomposed using Variational Modal Decomposition(VMD),and feature correlations are computed using Importance of Random Forest Features(RF)to maximize the extraction of critical factors influencing battery performance ***,to enhance the global search capability of the Convolution Optimization Algorithm(COA),improvements are made using Good Point Set theory and the Differential Evolution *** Improved Convolution Optimization Algorithm(ICOA)is employed to optimize TWSVM parameters for constructing SOH and RUL prediction ***,the proposed models are validated using NASA and CALCE lithium-ion battery *** results demonstrate that the proposed models achieve an RMSE not exceeding 0.007 and an MAPE not exceeding 0.0082 for SOH and RUL prediction,with a relative error in RUL prediction within the range of[-1.8%,2%].Compared to other models,the proposed model not only exhibits superior fitting capability but also demonstrates robust performance.

关键词： State of health remaining useful life variational modal decomposition random forest twin support vector machine convolutional optimization algorithm

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Small modifications of endo-functionalized cavities lead to large changes in molecular interaction in water

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Science China Chemistry 2025年第1期68卷 369-376页

作者： Song-Meng Wang Hao Nian Yan-Fang Wang Li-Shuo Zheng Yu-Tao Zheng Yi-wei Dong Liping Huang Xiaoping Wang wei Jiang Liu-Pan Yang Department of Chemistry Southern University of Science and TechnologyShenzhen 518055China School of Pharmaceutical Science Hengyang Medical SchoolUniversity of South ChinaHengyang 421001China School of Chemistry and Pharmaceutical Sciences State Key Laboratory for Chemistry and Molecular Engineering of Medicinal ResourcesGuangxi Normal UniversityGuilin 541004China

Studying molecular recognition in aqueous environments is crucial for understanding biological ***,we present a series of N-doped endo-functionalized anthracene-based cavities by introducing inward-directed pyridine *** subtle modifications can significantly affect the binding properties of these receptors,which is similar to the mutations in biological *** theoretical calculations and molecular recognition experiments demonstrated that these“mutations”have an impact on the hydrophobicity and charge distribution of the hosts,consequently significantly influencing molecular *** is crucial for understanding the intricate mechanisms of molecular-level interactions in biological receptors.

关键词： host-guest interaction hydrophobic effect endo-functionalized cavity mutation pyridine

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Experimental and Numerical Study of Bonding Capacity of Interface between Ultra-High Performance Concrete and Steel Tube

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Structural Durability & Health Monitoring 2025年第2期19卷 285-305页

作者： Ruikun Xu Jiu Li Wenjie Li wei Zhang China Communications Third Highway Engineering Bureau Co. Ltd.Fuzhou350300China College of Civil Engineering Fujian University of TechnologyFuzhou350118China

This study investigates the bond performance at the interfacial region shared by Ultra-High Performance Concrete(UHPC)and steel tubes through push-out *** study examines how changes in steel fiber volumetric ratio and thickness of steel tube influence the bond strength *** results show that as the enhancement of the steel tube wall thickness,the ultimate bond strength at the interface improves significantly,whereas the initial bond strength exhibits only slight *** influence of steel fiber volumetric ratio presents a nonlinear trend,with initial bond strength decreasing at low fiber content and increasing significantly as fiber content ***,finite element(FE)simulations were applied to replicate the experimental conditions,and the outcomes showed strong correlation with the experimental data,confirming the exactitude of the FE model in predicting the bond behavior at the UHPC-Steel *** findings provide valuable insights for optimizing the design of UHPC-Filled steel tubes in high-performance structure.

关键词： Ultra-high performance concrete filled steel tube(UHPCFST) push-out test bonding capacity cohesive zone model

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Uncovering the oxidation mechanism of sphalerite(ZnS)in the absence and presence of water:A first-principles investigation

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International Journal of Mining Science and Technology 2025年第1期35卷 149-157页

作者： Yuanjia Luo wei Sun Haisheng Han Jian Peng Feng Jiang School of Minerals Processing and Bioengineering Central South UniversityChangsha 410083China

Herein,a first-principles investigation was innovatively conducted to research the surface oxidation of ZnS-like sphalerite in the absence and presence of H_(2)O .The findings showed that single O_(2) was preferred to be dissociated adsorption on sphalerite surface by generating SAO and Zn AO bonds,and the S atom on the surface was the most energy-supported site for O_(2) adsorption,on which a≡Zn-O-S-O-Zn≡structure will be ***,dissociated adsorption of single H_(2)O will not *** was preferred to be adsorbed on the top Zn atom on sphalerite surface in molecular form through Zn-O ***,sphalerite oxidation can occur as if O_(2) was present regardless of the presence of H_(2)O ,and when H_(2)O and O_(2) coexisted,the formation of sulfur oxide(SO_(2) )needed a lower energy barrier and it was easier to form on sphalerite surface than that only O_(2) *** the absence of H_(2)O ,when SO_(2) was generated,further oxidation of which would form neutral zinc *** the presence of H_(2)O ,the formation of SO_(2) on sphalerite surface was easier and the rate of further oxidation to form sulfate was also ***,the occurrence of sphalerite oxidation was accelerated.

关键词： First-principles Oxidation Sphalerite H_(2)O Lower energy barrier

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A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 369-380页

作者： Tianyu Wang Fan Zhou Yangjie Wu Jun Zhao wei Wang IEEE the School of Control Science and Engineering Dalian University of Technology the School of Information Science and Engineering Dalian Polytechnic University

As a crucial storage and buffering apparatus for balancing the production and consumption of byproduct gases in industrial processes, accurate prediction of gas tank levels is essential for optimizing energy system scheduling. Considering that the continuous switching of the pressure and valve status(mechanism knowledge) would bring about multiple working conditions of the equipment, a multi-condition time sequential network ensembled method is proposed. In order to especially consider the time dependence of different conditions, a centralwise condition sequential network is developed, where the network branches are specially designed based on the condition switching sequences. A branch combination transfer learning strategy is developed to tackle the sample imbalance problem of different condition data. Since the condition or status data are real-time information that cannot be recognized during the prediction process, a pre-trained and ensemble learning approach is further proposed to fuse the outputs of the multi-condition networks and realize a transient-state involved prediction. The performance of the proposed method is validated on practical energy data coming from a domestic steel plant, comparing with the state-of-the-art algorithms. The results show that the proposed method can maintain a high prediction accuracy under different condition switching cases, which would provide effective guidance for the optimal scheduling of the industrial energy systems.

关键词： Ensemble learning industrial energy prediction multi-working condition structural deep network transfer learning

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A novel transient strategy:transient electronics based on energetic materials

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Defence Technology(防务技术) 2025年第2期44卷 111-130页

作者： Yutao Wang Zhongliang Ma wei He Yongli Zhang Peijin Liu School of Environmental and Safety Engineering North University of ChinaTaiyuan 030051China School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065China Xi'an North Hui'an Chemical Industry Co.Ltd Xi'an 710302China Science and Technology on Combustion Internal Flow and Thermostructure LaboratoryNorthwestern Polytechnical UniversityXi'an 710072China

Transient electronics is a versatile tool that finds applications in various fields,including medical biology,environmental protection,and data information *** the context of data protection,the traditional passive degradation transient mode is being replaced by the active destruction mode,which features a short self-destruction time and provides greater resistance to *** article presents an overview of recent progress in transient electronics,assessing the benefits and suitability of varying transient *** article also analyses the influence of transient electronics on military security while emphasizing the advantages of implementing energetic ***,the article introduces energetic transient devices and evaluates their ability to support the autonomous operation of transient electronic devices.

关键词： Transient electronics Energetic materials

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Flow field distribution and overpressure characteristics inside the crew compartment of a truck-mounted howitzer under the effect of muzzle blast

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Defence Technology(防务技术) 2025年第2期44卷 190-205页

作者： Shengcheng wei Linfang Qian Yadong Xu Qiang Yin Xinyu Xiong School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing210094China Northwest Institute of Mechanical and Electrical Engineering Xianyang712099China

The muzzle blast overpressure induces disturbances in the flow field inside the crew compartment(FFICC)of a truck-mounted howitzer during the artillery *** overpressure is the primary factor preventing personnel from firing artillery within the *** investigate the overpressure characteristics of the FFICC,a foreign trade equipment model was used as the research object,and a numerical model was established to analyze the propagation of muzzle blast from the muzzle to the interior of the crew compartment under extreme firing *** comparative verification,the muzzle blast experiment included overpressure data from both the flow field outside the crew compartment(FFOCC)and the FFICC,as well as the acceleration data of the crew compartment structure(Str-CC).The research findings demonstrate that the overpressure-time curves of the FFICC exhibit multi-peak characteristics,while the pressure wave shows no significant *** enclosed nature of the cab hinders the dissipation of pressure wave energy within the FFICC,leading to sustained high-amplitude *** frameskin structure helps attenuate the impact of muzzle blast on the ***,local high overpressure caused by the convex or concave features of the cab's exterior significantly amplifies the overpressure amplitude within the FFICC.

关键词： Truck-mounted howitzer Muzzle blast Flow field inside the crew compartment(FFICC) Overpressure characteristics Flow-structure interaction

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EDA-complexes-enabled photochemical synthesis of α-amino acids with imines and tetrabutylammonium oxalate

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Chinese Chemical Letters 2025年第1期36卷 1-2页

作者： Min-Hang Zhou Jun Jiang wei-Min He School of Chemistry and Chemical Engineering University of South ChinaHengyang 421001China

The synthesis ofα-amino acid from imines with different carbonyl sources is attractive for both synthetic organic and medicinal chemistry ***,which were easily available from the corresponding ketones and amines,were employed as one of the most ideal ***,cyanation and subsequent hydrolysis were required to install the carboxyl group^([1]).In these cases,the toxicity of the cyanation reagents limited its further synthetic applications in organic ***,metal activation of imine substrates to make the organometallic intermediate and trap CO_(2) to give the desiredα-amino acid were also developed by many groups(Scheme 1A).The utilization of stoiochiometric amounts of metal reagents was required to realize the ***,Yu reported a novel photocatalytic reductive carboxylation protocol for synthesis ofα-amino acid from imines with CO_(2)as the carbonyl source^([2]).

关键词： synthesis carbonyl photochemical

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