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Combustion aerosols and suspended dust with controlled processes in Lhasa:Elemental analysis and size distribution characteristics

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Journal of Environmental Sciences 2025年第2期148卷 591-601页

作者： Jinglin Li Zhuoga Deqing Jie Liang Tao Guo Jian Yao wei Liu Shanghai Institute of Applied Physics Chinese Academy of ScienceShanghai 201800China University of Chinese Academy of Science Beijing 100049China Meteorological Bureau of Tibet Autonomous Region Lhasa 850000China

To explore air contamination resulting from special biomass combustion and suspended dust in Lhasa,the present study focused on the size distribution and chemical characteristics of particulate matter(PM)emission resulting from 7 types of non-fossil pollution *** investigated the concentration and size distribution of trace elements from 7 pollution sources collected in *** Lhasa’s atmospheric particulate matter data,enrichment factors(EFs)have been calculated to examine the potential impact of those pollution sources on the atmosphere quality of *** highest mass concentration of total elements of biomass combustion appeared at PM_(0.4),and the second highest concentration existed in the size fraction 0.4-1μm;the higher proportion(12%)of toxicmetals was produced by biomass *** elemental composition of suspended dust and atmospheric particulate matter was close(except for As and Cd);the highest concentration of elements was all noted in PM_(2.5-10)(PM3-10).Potassium was found to be one of the main biomass *** proportion of Cu in suspended dust is significantly lower than that of atmospheric particulate matter(0.53%and 3.75%),which indicates that there are other anthropogenic *** EFs analysis showed that the Cr,Cu,Zn,and Pb produced by biomass combustion were highly enriched(EFs>100)in all particle *** EFs of most trace elements increased with decreasing particle size,indicating the greater influence of humanfactors on smaller particles.

关键词： Size distribution Trace elements Particulate matter Enrichment factors Lhasa

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

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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

Single-atom“surgery”on chiral all-dialkynyl-protected superatomic silver nanoclusters

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Science Bulletin 2025年第3期70卷 365-372页

作者： Chengkai Zhang wei-Dan Si wei-Dong Tian Wan-Jun Xiao Zhi-Yong Gao Zhi Wang Chen-Ho Tung Di Sun School of Chemistry and Chemical Engineering State Key Laboratory of Crystal MaterialsShandong UniversityJinan 250100China School of Chemistry and Chemical Engineering Henan Normal UniversityXinxiang 453007China

The manipulation of single atom within the metallic kernel of nanoclusters has attracted considerable attention due to its potentials to elucidate kernel-based structure-property relationships at the single-atom ***,new-designed chiral bialkynyl ligands,have been chosen as protective agents to isolate two pairs of 8-electron superatomic silver nanoclusters,R/S-Ag39 and R/S-Ag40.X-ray diffraction analysis reveals that Ag39 and Ag40 with the same number of chiral ligands,possess a closely analogous silver skeleton but a single-atomic *** incorporation of an extra Ag40th atom into Ag40 evokes two significant changes of structure and property compared to Ag39:(i)a reduction in the symmetry of the entire nanocluster,resulting in an enhancement of kernel-related asymmetry g-factor;(ii)a regulation of the transitions(1P→1D and Ligand(π)→1D)of excited state,leading to a second near-infrared(NIR-II,1000-1700 nm)phosphorescent emission red-shift from 1088 to 1150 *** work not only provides vital insights into the relationship between structures and ground/excited states chiroptical activities at the single-atom level,but also presents bialkynyl as a promising stabilizing agent for building superatomic metal nanoclusters.

关键词： Single atom manipulation Chiral bialkynyl ligands Superatomic silver nanoclusters NIR-Il phosphorescence

Design and Application of Turbine Cascade Partitioned Endwall Profiling

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Journal of Thermal Science 2025年第1期34卷 110-128页

作者： ZENG Fei JIANG Ruiqi XUE Xingxu DU wei LUO Lei ZHOU Xun AECC Hunan Aviation Powerplant Research Institute Zhuzhou 412002China School of Energy Science and Technology Harbin Institute of TechnologyHarbin 150001China Science and Technology on Diesel Engine Turbocharging Laboratory China North Engine Research InstituteTianjin 300270China

The influence of partitioned profiling design based on a large-pitch highly loaded cascade is studied by numerical *** partitioned profile is mainly composed of a pressure-side convex structure near the leading edge and a suction-side convex structure at the midstream and downstream sides of the *** influence of the change in the vertex axial position and peak value of the B-line on the secondary flow control is *** this paper,air(ideal gas)is selected as the flow *** average static pressure at the outlet and the average total temperature at the inlet are kept *** γ-θ is used as the turbulence *** results show that the pressure-side convex structure suppresses the spanwise and pitchwise migration of the inlet flow by adjusting the static pressure distribution of the flow field,so the development of the pressure-side leg of the horseshoe vortex is effectively *** suction-side convex structure adjusts the static pressure distribution of the flow field and increases the included angle between the cross-flow and suction surface,so the accumulation of low-momentum fluid,the development of a corner vortex and the flow separation at the trailing edge of the suction-side surface are all suppressed near the endwall-suction ***,the energy loss coefficient of the large-pitch highly loaded cascade is decreased from 0.0564 to 0.0485,representing a 25% reduction in secondary flow losses.

关键词： large-pitch highly loaded cascade highly loaded design non-axisymmetrical endwall design secondary flow control partitioned endwall profiling

基于高阶特征挖掘和贝叶斯MCMC方法的建筑能耗预测

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暖通空调 2025年第2期55卷 60-66,59页

作者：那威孔纯盛北京建筑大学北京

针对建筑能耗预测模型需要解决解释变量选取困难、建筑样本数据有限和建模算法难以捕捉复杂的非线性关系等问题,提出了基于高阶特征挖掘和贝叶斯MCMC(马尔可夫链蒙特卡罗)方法的能耗预测模型。本研究利用建筑本体、建筑环境及建筑人员... 详细信息

针对建筑能耗预测模型需要解决解释变量选取困难、建筑样本数据有限和建模算法难以捕捉复杂的非线性关系等问题,提出了基于高阶特征挖掘和贝叶斯MCMC(马尔可夫链蒙特卡罗)方法的能耗预测模型。本研究利用建筑本体、建筑环境及建筑人员活动等特征指标作为模型输入,以CBECS数据库中205栋办公建筑的供热能耗数据作为训练集样本,选用符号检验与K-fold交叉验证识别高响应交互作用因子组合,通过MCMC方法进行重要性采样,预测了办公建筑的供热能耗强度。研究发现,建筑的层高、面积、层数之间存在高阶交互关系,模型预测精确度指标归一化平均偏差(NMBE)为3.5%,均方根误差(RMSE)为0.014,均方根误差变异系数(CVRMSE)为14.0%,可有效预测办公建筑供热能耗。

关键词：高阶特征挖掘 K-Fold交叉验证贝叶斯模型 MCMC方法能耗预测

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Eosinophilia and clonorchiasis presenting as fever of unknown origin in adult patients

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World Journal of Emergency Medicine 2025年第1期16卷 91-93页

作者： Jie Zhong Xin Zhou wei Gu Department of Emergency Medicine Chuiyangliu HospitalBeijing 100022China

Fever of unknown origin(FUO)is recognized as fever with uncertain diagnosis despite three days of hospital admission or three or more outpatient visits.[1]Acute liver fluke infection is characterized by fever,right upper quadrant pain,hepatomegaly,jaundice,and peripheral blood *** contrast,chronic liver fluke infection is asymptomatic in its early stage,but can easily progress to cirrhosis,cancer,or bile duct cancer *** diagnosis of clonorchiasis is particularly challenging in non-endemic *** herein report an unusual case of liver fluke infection in a patient who presented with FUO and eosinophilia.A 38-year-old male was admitted to our hospital with a history of intermittent and recurrent fever for over 10 d and a history of sudden abdominal pain for1 *** had no other medical *** than 10d ago,he visited our emergency department because of FUO,with his body temperature reaching 39.7℃,and he had no other symptoms at that *** and radiological examinations revealed:white blood cell(WBC)counts,10.9×10^(9)/L;neutrophil percentage,84.5%;eosinophil percentage,3.1%;C-reactive protein(CRP),141 mg/L;liver and kidney function,normal;influenza virus,negative;urine and stool tests,normal;and chest computed tomography(CT)findings,*** fever subsided after 1 week of anti-infective treatment with *** tests revealed the following results:WBC,15.0×10^(9)/L;neutrophil percentage,70.0%;eosinophil percentage,16.8%;and CRP,122 mg/*** antimicrobial treatment was then discontinued.

关键词： fever diagnosis admitted

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

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

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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

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