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Journal of Advanced Ceramics 2024年第4期13卷 429-436页

作者： Jie Shao xiyang li Meng liu Haiqin Sun Qiwei Zhang Dengfeng Peng Fuchi liu College of Physics and Technology Guangxi Normal UniversityGuilin 541004China Guangxi Key Laboratory of Nuclear Physics and Technology Guangxi Normal UniversityGuilin 541004China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China

Photo-stimuli responsive materials show great potential in the fields of information encryption and storage due to their distinctive spatial or temporal color ***,the conventional single or multi-color static outputs by light stimulus difficulty meet practical requirements for high-security optical storage ***,a novel dynamic irradiation-responsive phosphor of Na_(2)Ba_(2)Si_(2)O_(7):Eu is demonstrated,exhibiting high storage stability and convenient readout *** inherent Eu^(2+)luminescence can be dynamically tuned,instantly read out,and conveniently erased by controlling irradiation duration of a portable diode laser(365 nm).The modulation mechanism is unraveled by optically induced oxidation reactions of Eu^(2+)→Eu^(3+)and defects as killer *** excellent luminescence modulation degree(ΔR_(t)=89.5%)and the accompanying larger color contrast enable the creation of invisible optical codes with multi-level encryption in bright or dark *** results indicate potential applications of Na_(2)Ba_(2)Si_(2)O_(7):-based materials in information encryption and invisible optical storage,and are expected to expand more investigations on optically induced PL modulation behaviors based on mixed valences and defects.

关键词： light irradiation luminescent modulation invisible optical storage

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技术赋能的人机协同翻译教学模式构建研究

外语界 2024年第3期 43-50页

作者：李锡阳彭丽华金慧上海外国语大学语料库研究院上海201620 上海外国语大学国际教育学院上海201620 上海外国语大学上海全球治理与区域国别研究院上海201620

技术赋能为翻译教学带来更具交互性、更加个性化和多元化的教学方式。本研究梳理了技术赋能翻译教学的相关理论和应用实践,探讨了技术赋能翻译教学的发展路径及翻译教学模式的创新。研究进而总结了技术赋能翻译教学的三个主要阶段,即资... 详细信息

技术赋能为翻译教学带来更具交互性、更加个性化和多元化的教学方式。本研究梳理了技术赋能翻译教学的相关理论和应用实践,探讨了技术赋能翻译教学的发展路径及翻译教学模式的创新。研究进而总结了技术赋能翻译教学的三个主要阶段,即资源电子化赋能的友好型电化教学阶段、流程数字化赋能的混合型精准教学阶段、环境智能化赋能的聚合型智慧教学阶段,并基于这一发展脉络尝试构建了人机协同的翻译教学模式。该模式通过电子资源库、数据中台、智能代理等技术赋能,实现教师、学生和技术三大基本要素在翻译教学中的交互共促。

关键词：技术赋能翻译教学发展路径人机协同翻译教学模式

双侧阴部神经阻滞及局部麻醉用于痔切除术的效果观察

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检验医学与临床 2024年第12期21卷 1755-1758页

作者：李西羊刘洁李丹陕西省西安市中医医院麻醉科陕西西安710021 陕西省榆林市神木市医院麻醉科陕西榆林719399

目的探讨双侧阴部神经阻滞及局部麻醉(简称局麻)用于痔切除术的效果观察。方法选取2019年1月至2022年1月西安市中医医院收治的100例行痔切除术的患者作为研究对象。采用随机数字表法将所有患者分为观察组及对照组,每组50例。对照组采用... 详细信息

目的探讨双侧阴部神经阻滞及局部麻醉(简称局麻)用于痔切除术的效果观察。方法选取2019年1月至2022年1月西安市中医医院收治的100例行痔切除术的患者作为研究对象。采用随机数字表法将所有患者分为观察组及对照组,每组50例。对照组采用局麻,观察组采用双侧阴部神经阻滞麻醉。比较两组围术期指标(手术时间、术中出血量、住院时间)及肛门内收缩压变化,采用疼痛视觉模拟评分法(VAS)评估两组术后疼痛程度,比较两组术中丙泊酚用量、相关并发症及不良反应情况。结果观察组手术时间明显短于对照组(P0.05)。两组术前肛门收缩压、术前最大自主性收缩压比较,差异均无统计学意义(P>0.05);观察组麻醉后肛门收缩压明显低于对照组(P0.05)。结论与局麻相比,双侧阴部神经阻滞麻醉可减轻痔切除术患者疼痛,改善肛门压力,且术中镇静剂用量较少。

关键词：阴部神经阻滞局部麻醉痔切除术镇痛心肺不良事件

信息化背景下基于OBE-BOPPPS模式的系统工程教学改革研究

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创新创业理论研究与实践 2024年第4期7卷 47-49,65页

作者：张惠李西洋石河子大学新疆石河子832000

为培养适应时代发展和社会需求的系统工程人才,该文探索信息化时代系统工程课程改革思路,基于OBE(成果导向教育)理念,构建符合行业需求的系统工程课程培养目标,并结合BOPPPS教学模式,探讨如何将教学目标落实到具体的教学环节,通过激发... 详细信息

为培养适应时代发展和社会需求的系统工程人才,该文探索信息化时代系统工程课程改革思路,基于OBE(成果导向教育)理念,构建符合行业需求的系统工程课程培养目标,并结合BOPPPS教学模式,探讨如何将教学目标落实到具体的教学环节,通过激发学生的学习能动性、组建创新型教学团队、构建信息化教学资源库,保障课程教学改革的实施和持续改进。教学改革实践成效显著,切实提高了教与学的效率与质量。

关键词：信息化 OBE理念 BOPPPS模式系统工程改革研究持续改进

Research on the Change of Airfoil Geometric Parameters of Horizontal Axis Wind Turbine Blades Caused by Atmospheric Icing

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Energy Engineering 2022年第6期119卷 2549-2567页

作者： xiyang li Yuhao Jia Hui Zhang Bin Cheng College of Mechanical and Electrical Engineering Shihezi UniversityShihezi832003China Beijing Goldwind Science CreationWindpower Equipment Co. Ltd.Beijing100176China

Icing can significantly change the geometric parameters of wind turbine blades,which in turn,can reduce the aerodynamic characteristics of the ***-depth research is conducted in this study to identify the reasons for the decline of wind power equipment performance through the icing *** accurate experimental test method is proposed in a natural environment that examines the growth and distribution of ice formation over the airfoil *** mathematical models of the airfoil chord length,camber,and thickness are established in order to investigate the variation of geometric airfoil parameters under different icing *** results show that ice accumulation varies considerably along the blade *** environmental temperature drop,the minimum and maximum extents of ice accumulation are observed near the blade root(0.2 R)and the blade tip(0.95 R),respectively(R represents the blade length).The icing process steadily increases the chord length and decreases the airfoil curvature,reaching the largest value at the blade tip ***,the maximum curvature is reduced to 41.50%of the original *** maximum camber position of the airfoil moves towards the trailing edge,and the most prominent position occurs at the middle blade region(0.6 R),where it moves back by 19.43%.Ice accumulation steadily increases airfoil *** leads to the maximum thickness growth of 53.40%that occurs at the blade tip region and moves forward to the leading edge by 10%.The research results can provide the required theoretical support for further monitoring the blades operating conditions to ensure reliable wind turbines’operation.

关键词： Wind energy wind turbine icing airfoil geometric parameters

38CrMoAl渗氮钢微晶刚玉砂轮摆线磨削工艺试验研究

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工具技术 2024年第4期58卷 49-53页

作者：周辉蔡云辉王熔李希扬黄向明王伏林汤涛湖南星途航空航天器制造有限公司湖南省株洲市412007 湖南大学机械与运载工程学院

在实际磨削38CrMoAl渗氮钢过程中,存在磨削烧伤情况。本文分别采用白刚玉砂轮和微晶刚玉砂轮磨削38CrMoAl渗氮钢,对比研究了不同磨料类型刚玉砂轮对磨削力和表面粗糙度的影响规律。试验结果表明:相较于白刚玉砂轮,微晶刚玉砂轮磨削时磨... 详细信息

在实际磨削38CrMoAl渗氮钢过程中,存在磨削烧伤情况。本文分别采用白刚玉砂轮和微晶刚玉砂轮磨削38CrMoAl渗氮钢,对比研究了不同磨料类型刚玉砂轮对磨削力和表面粗糙度的影响规律。试验结果表明:相较于白刚玉砂轮,微晶刚玉砂轮磨削时磨削力降低了14.2%。基于正交试验方法,通过微晶刚玉砂轮平面磨削试验,探究了磨削工艺参数对磨削力和工件表面粗糙度的影响。结果分析表明:磨削深度对磨削力影响最大,其次是工件进给速度和砂轮转速;对于工件表面粗糙度而言,工件进给速度的影响最大,其次是砂轮速度和磨削深度。最终采用微晶刚玉砂轮对38CrMoAl渗氮钢齿轮样件进行批次加工,结果显示无磨削烧伤发生,且磨削表面质量得到了显著提高。

关键词：渗氮钢齿轮微晶刚玉砂轮磨削力表面粗糙度

Mechanism of nanoparticle aggregation in gas-liquid microfluidic mixing

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Chinese Chemical Letters 2024年第4期35卷 376-381页

作者： Hongxia li xiyang Wang Du Qiao Jiahao li Weiping Zhu Honglin li Key Laboratory for Precision&Non-traditional Machining Technology of Ministry of Education Dalian University of TechnologyDalian 116023China Shanghai Key Laboratory of New Drug Design School of PharmacyEast China University of Science and TechnologyShanghai 200237China

Using gas-liquid segmented micromixers to prepare nanoparticles that have a homogeneous particle size, controllable shape, and monodispersity advantages. Although nanoparticle aggregation within a microfluid has been shown to be affected by the shear effect, the shear effect triggering conditions in gasliquid two-phase flow is unclear and the aggregation behavior of nanoparticles under the shear effect is difficult to predict, resulting in uncontrollable physical and chemical properties of nanoparticle aggregates. In this study, a numerical simulation of nanoparticle aggregation in gas-liquid two-phase flow under the shear effect is performed using the CFD-DEM method. Then, the effects of total flow rate,gas-liquid two-phase flow ratio, and particle volume fraction on particle aggregation were analyzed to achieve control of particle aggregation shape and size. Meanwhile, the triggering mechanism of the shear effect and the mechanism of the shear effect on the aggregation of nanoparticles were clarified. The results show that increasing the total flow rate or decreasing the gas-liquid two-phase flow rate ratio can induce the shear effect, which reduces the particle aggregation size and makes the morphology tend to be spherical. Moreover, increasing the particle volume fraction, and total flow rate or decreasing the gas-liquid two-phase flow rate ratio also increases the number of particle collisions and induce interparticle adhesion. Hence, particle adhesion and the shear effect compete with each other and together affect particle aggregation.

关键词： Microfluidic Gas-liquid segmented micromixer Nanoparticle aggregation Shear effect Numerical calculation

Continuous chemical redistribution following amorphous-to-crystalline structural ordering in a Zr-Cu-Al bulk metallic glass

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Journal of Materials Science & Technology 2022年第6期101卷 285-293页

作者： Xuelian Wu Si Lan xiyang li Ming Yang Zhenduo Wu Xiaoya Wei Haiyan He Muhammad Naeem Jie Zhou Zhaoping Lu Elliot Paul Gilbert Dong Ma Xun-li Wang Department of Physics City University of Hong KongHong KongChina Herbert Gleiter Institute of Nanoscience School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100190China Quantum Matter Institute University of British ColumbiaVancouverBritish Columbia V6T 1Z4Canada Neutron Sciences Platform Songshan Lake Materials LaboratoryDongguan 523808China Center for Neutron Scattering and Applied Physics City University of Hong Kong Dongguan Research InstituteDongguan 523000China State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China Australian Centre for Neutron Scattering Australian Nuclear Science and Technology OrganisationLucas HeightsNew South Wales 2234Australia City University of Hong Kong Shenzhen Research Institute Shenzhen 518057China

Bulk metallic glasses(BMGs)are thermodynamically *** such,crystallization occurs when a BMG is thermally annealed at a temperature above the glass transition *** extensive studies have been performed on the crystallization kinetics of BMGs,most of them have focused on the amorphous-to-crystalline structural ordering,and little attention has been paid to chemical distribution and its relationship with the structural ordering during the crystallization *** this paper,a new approach,with simultaneous differential scanning calorimetry(DSC)and small angle neutron scatter-ing(SANS)measurements,was applied to study in situ the crystallization of a Zr_(45.5)Cu_(45.5)Al_(9)BMG upon isothermal annealing at a temperature in the supercooled liquid *** analysis of the DSC and SANS data showed that the structural evolution during isothermal annealing could be classified into three stages:(Ⅰ)incubation;(Ⅱ)amorphous-to-crystalline structural ordering;(Ⅲ)continuous chemical *** finding was validated by composition analysis with atom probe tomography(APT),which further identified a transition region formed by expelling Al into the *** transition re-gion,with a composition of(Cu,Al)_(50)Zr_(50),served as an intermediate step facilitating the formation of a thermodynamically stable crystalline phase with a composition of(Cu,Al)_(10)Zr_(7).

关键词： Bulk metallic glass Crystallization In situ Continuous chemical redistribution Transition region

Influence of N-doping on dielectric properties of carbon-coated copper nanocomposites in the microwave and terahertz ranges

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Journal of Materiomics 2022年第6期8卷 1131-1140页

作者： Feirong Huang Shuting Fan Yuqi Tian Xinghao Qu xiyang li MaoFan Qin Javid Muhammad Xuefeng Zhang Zhidong Zhang Xinglong Dong Key Laboratory of Materials Modification by Laser Ion and Electron Beams(Ministry of Education)School of Materials Science and EngineeringDalian University of TechnologyDalian116024China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen518060China Institute of Advanced Magnetic Materials College of Materials and Environmental EngineeringHangzhou Dianzi UniversityHangzhou110819China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang110015China

Carbon-coated Cu nanocomposites (Cu@C NCs) consisting of core-shell nanoparticles and nanorods weresynthesized by arc discharge plasma under an atmosphere of He and H_(2) gas, and the N-doping of themwas achieved by a post-treatment process using ureal as the precursor. The concentration of N in the Ndoped samples varies in the range of 0.62%-2.31 % (in mole), with a transformation from pyrrolic N tographitic N when increasing the relative content of ureal. Dielectric properties of the NCs without or withN-doping in the microwave and THz bands were investigated. The N-doped samples achieve theenhanced dielectric loss in both microwave and THz bands. In the microwave band, dielectric loss wasdominated by interfacial polarization, dipolar polarization, and conduction loss, while in the THz band,plasma resonance, ionic polarization and conduction loss are responsible for the dielectric loss, with astrong absorption characteristic dominated by conductive effect.

关键词： Cu/C nanocomposite Dielectric property N-doping Terahertz frequency

A Hybrid Model Based on Back-Propagation Neural Network and Optimized Support Vector Machine with Particle Swarm Algorithm for Assessing Blade Icing on Wind Turbines

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Energy Engineering 2021年第6期118卷 1869-1886页

作者： xiyang li Bin Cheng Hui Zhang Xianghan Zhang Zhi Yun College of Mechanical and Electrical Engineering Shihezi UniversityShihezi832003China Key Laboratory of Northwest Agricultural Equipment Ministry of Agriculture and Rural AffairsShihezi832003China

With the continuous increase in the proportional use of wind energy across the globe,the reduction of power generation efficiency and safety hazards caused by the icing on wind turbine blades have attracted more consideration for ***,it is crucial to accurately analyze the thickness of icing on wind turbine blades,which can serve as a basis for formulating corresponding control measures and ensure a safe and stable operation of wind turbines in winter times and/or in high altitude *** paper fully utilized the advantages of the support vector machine(SVM)and back-propagation neural network(BPNN),with the incorporation of particle swarm optimization(PSO)algorithms to optimize the parameters of the *** paper proposes a hybrid assessment model of PSO-SVM and BPNN based on dynamic weighting *** sets of icing data under a rotating working state of the wind turbine were used as examples for model *** on a comparative analysis with other models,the results showed that the proposed model has better accuracy and stability in analyzing the icing on wind turbine blades.

关键词： Support vector machine back propagation neural network particle swarm optimization blade icing assessment