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Efficient photocatalytic hydrogen evolution coupled with benzaldehyde production over 0D Cd_(0.5)Zn_(0.5)S/2D Ti_(3)C2 Schottky heterojunction

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Journal of Advanced Ceramics 2022年第7期11卷 1117-1130页

作者： Junnan TAO Mingyuan wanG Guiwu LIU Qinqin LIU Lei LU neng wan Hua TANG Guanjun QIAO School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013China SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of EducationSchool of Electrical Science and EngineeringSoutheast UniversityNanjing 210096China School of Environmental Science and Engineering Qingdao UniversityQingdao 266071China

Converting water into hydrogen fuel and oxidizing benzyl alcohol to benzaldehyde simultaneously under visible light illumination is of great significance,but the fast recombination of photogenerated carriers in photocatalysts seriously decreases the conversion efficiency.Herein,a novel dual-functional 0D Cd_(0.5)Zn_(0.5)S/2D Ti_(3)C2 hybrid was fabricated by a solvothermally in-situ generated assembling method.The Cd_(0.5)Zn_(0.5)S nano-spheres with a fluffy surface completely and uniformly covered the ultrathin Ti_(3)C2 nanosheets,leading to the increased Schottky barrier(SB)sites due to a large contact area,which could accelerate the electron–hole separation and improve the light utilization.The optimized Cd_(0.5)Zn_(0.5)S/Ti_(3)C2 hybrid simultaneously presents a hydrogen evolution rate of 5.3 mmol/(g·h)and a benzaldehyde production rate of 29.3 mmol/(g·h),which are~3.2 and 2 times higher than those of pristine Cd_(0.5)Zn_(0.5)S,respectively.Both the multiple experimental measurements and the density functional theory(DFT)calculations further demonstrate the tight connection between Cd_(0.5)Zn_(0.5)S and Ti_(3)C2,formation of Schottky junction,and efficient photogenerated electron–hole separation.This paper suggests a dual-functional composite catalyst for photocatalytic hydrogen evolution and benzaldehyde production,and provides a new strategy for preventing the photogenerated electrons and holes from recombining by constructing a 0D/2D heterojunction with increased SB sites.

关键词： Cd_(0.5)Zn_(0.5)S Ti_(3)C2 photocatalysis hydrogen benzaldehyde Schottky heterojunction

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A new localization theory of adaptive machining of near-net-shape blades

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Chinese Journal of Aeronautics 2021年第6期34卷 18-32页

作者： neng wan Xiaogang SHEN Zhiyong CHANG Zezhong C.CHEN Department of Mechanical Engineering Northwestern Polytechnical UniversityXi'an 710072China Department of Mechanical Industrial and Aerospace EngineeringConcordia UniversityMontrealQuebec H3G IMSCanada

In the fabrication of aero-engine blades,a great deal is gained when massive material removal is avoided at the end of the process,and as little as possible material is left on the blade billet.Due to the uncertainty of pre-process,the billet shapes are inconsistent.Sometimes,the near-net-shape billet doesn’t cover the blade design surface to be cut.Therefore,blade localization is necessary for these billets before the machining.In conventional localization methods,the design surface’s location focused on guaranteeing enough material to be cut.However,because the to-becut surface is in near-net and free-form shape,it is difficult to find a valid localized surface model to generate the tool path.Different from the localized surface is taken as rigid in previous investigation,it is allowed to deviate from the design surface no more than the tolerance band.In term of this principle,the tolerance band is utilized to promote localization ability.A series of optimization models with different priorities is established to avoid the abandonment expensive blade billet.Finally,with the experiments performed on the near-net-shape blades,the blade localization theory and the promotion of localization ability are verified.

关键词： Blade localization Curvature constraint Machining surface Near-net-shape blade Tolerance constraint

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Biological oyster shell waste enhances polyphenylene sulfide composites and endows them with antibacterial properties

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Chinese Journal of Chemical Engineering 2023年第5期57卷 118-131页

作者： Chi-Hui Tsou Rui Zeng neng wan Manuel Reyes De Guzman Xue-Fei Hu Tao Yang Chen Gao Xiaomei Wei Jia Yi Li Lan Rui-Tao Yang Ya-Li Sun School of Materials Science and Engineering Sichuan University of Science&EngineeringZigong 643000China Material Corrosion and Protection Key Laboratory of Sichuan Province Sichuan University of Science&EngineeringZigong 643000China Sichuan Zhixiangyi Technology Co.Ltd. Chengdu 610051China

To date,there is no research that deals with biological waste as fillers in polyphenylene sulfide(PPS).In this study,oyster shells were recycled and treated to prepare thermally-treated oyster shells(TOS),which were used as PPS fillers to make new bio-based antibacterial composite materials.The effect of varying the content of TOS was studied by means of structure and performance characterization.PPS/TOS composites were demonstrated to have an antibacterial effect on the growth of E coli and S.aureus.Qualitative analysis showed that when the TOS content was≥30%and 40%,the composite materials had an apparent inhibition zone.Quantitative analysis showed that the antibacterial activity increased with the TOS content.Fourier transform infrared spectroscopy indicated the formation of hydrogen bonds between the molecular chains of TOS and PPS and the occurrence of a coordination reaction.At 10%TOS,the composite tensile strength reached a maximum value of 72.5 MPa,which is 9.65%higher than that of pure PPS.The trend of bending properties is the same as that of tensile properties,showing that the maximum property was reached for the composite with 10%TOS.At the same time,the crystallinity and contact angle were the highest,and the permeability coefficient was the lowest.The fatigue test results indicated that for the composite with 10%TOS,the tensile strength was 23%lower than static tensile strength,and the yield strength was 10%lower than the static yield strength.The results of the study showed that TOS not only could reduce the cost of PPS,but also could impart antibacterial properties and enhance the mechanical and,barrier properties,the thermostability,as well as the crystallinity.

关键词： Oyster shell powder Polyphenylene sulfide(PPS) Antibacterial properties Filler Composite material Fatigue

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A Model Average Algorithm for Housing Price Forecast with Evaluation Interpretation

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Journal of Quantum Computing 2022年第3期4卷 147-163页

作者： Jintao Fu Yong Zhou Qian Qiu Guangwei Xu neng wan School of Computer Science Southwest Petroleum UniversityChengdu610500China Key Laboratory on Aero-Engine Altitude Simulation Technology Sichuan Gas Turbine EstablishmentAECCMianyang621000China Aero Engine Academy of China Aero Engine Corporation of ChinaBeijing101300China

In the field of computer research,the increase of data in result of societal progress has been remarkable,and the management of this data and the analysis of linked businesses have grown in popularity.There are numerous practical uses for the capability to extract key characteristics from secondary property data and utilize these characteristics to forecast home prices.Using regression methods in machine learning to segment the data set,examine the major factors affecting it,and forecast home prices is the most popular method for examining pricing information.It is challenging to generate precise forecasts since many of the regression models currently being utilized in research are unable to efficiently collect data on the distinctive elements that correlate y with a high degree of house price movement.In today’s forecasting studies,ensemble learning is a very prevalent and well-liked study methodology.The regression integration computation of large housing datasets can use a lot of computer resources as well as computation time,and ensemble learning uses more resources and calls for more machine support in integrating diverse models.The Average Model suggested in this paper uses the concept of fusion to produce integrated analysis findings from several models,combining the best benefits of separate models.The Average Model has a strong applicability in the field of regression prediction and significantly increases computational efficiency.The technique is also easier to replicate and very effective in regression investigations.Before using regression processing techniques,this work creates an average of different regression models using the AM(Average Model)algorithm in a novel way.By evaluating essential models with 90%accuracy,this technique significantly increases the accuracy of house price predictions.The experimental results show that the AM algorithm proposed in this paper has lower prediction error than other comparison algorithms,and the prediction accuracy is greatly improved compared with other algori

关键词： Machine learning AM algorithm price forecast regression algorithm Model evaluation

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A flow cytometer based protocol for quantitative analysis of bloom-forming cyanobacteria(Microcystis) in lake sediments

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Journal of Environmental Sciences 2012年第9期24卷 1709-1716页

作者： Quan Zhou Wei Chen Huiyong Zhang Liang Peng Liming Liu Zhiguo Han neng wan Lin Li Lirong Song State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences Wuhan 430072 China Graduate School of Chinese Academy of Sciences Beijing 100039 China Zealquest Laboratory for Ecological Research Zealquest Scientific Technology Co. Ltd. Shanghai 200333 China Changshu Institute of Technology Changshu 215500 China

A quantitative protocol for the rapid analysis of Microcystis cells and colonies in lake sediment was developed using a modified flow cytometer, the CytoSense. For cell enumeration, diluted sediment samples containing Microcystis were processed with sonication to disintegrate colonies into single cells. An optimized procedure suggested that 5 mg dw （dry weight）/mL dilution combined with 200 W x 2 min sonication yielded the highest counting efficiency. Under the optimized determination conditions, the quantification limit of this protocol was 3.3x104 cells/g dw. For colony analysis, Microcystis were isolated from the sediment by filtration. Colony lengths measured by flow cytometry were similar to those measured by microscopy for the size range of one single cell to almost 400 ~tm in length. Moreover, the relationship between colony size and cell number was determined for three Microcystis species, including Microcystisflos-aquae, M. aeruginosa and M. wessenbergii. Regression formulas were used to calculate the cell numbers in different- sized colonies. The developed protocol was applied to field sediment samples from Lake Taihu. The results indicated the potential and applicability of flow cytometry as a tool for the rapid analysis of benthic Microcystis. This study provided a new capability for the high frequency monitoring of benthic overwintering and population dynamics of this bloom-forming cyanobacterium.

关键词： flow cytometry benthic Microcystis cell enumeration colony size measurement

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酒精性肝损伤与肝炎性肝损伤CT诊断及鉴别诊断

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中外医药研究 2024年第17期3卷 126-128页

作者：万能凯里市第一人民医院贵州凯里556000

目的:探析酒精性肝损伤、肝炎性肝损伤应用CT诊断的临床鉴别诊断价值。方法:选取2019年7月—2024年2月于凯里市第一人民医院就诊并拟诊断为酒精性肝损伤与肝炎性肝损伤患者共72例作为研究对象,依据疾病类型分为参照组(酒精性肝损伤)与... 详细信息

目的:探析酒精性肝损伤、肝炎性肝损伤应用CT诊断的临床鉴别诊断价值。方法:选取2019年7月—2024年2月于凯里市第一人民医院就诊并拟诊断为酒精性肝损伤与肝炎性肝损伤患者共72例作为研究对象,依据疾病类型分为参照组(酒精性肝损伤)与试验组(肝炎性肝损伤),各36例。两组均进行CT筛查诊断。比较两组临床CT鉴别诊断准确率、肝脾比值、肝密度CT值、肝体积增大与肝形态正常发生率。结果:两组CT诊断准确率比较,差异无统计学意义(P>0.05);试验组肝脾比值低于参照组,肝密度CT值高于参照组,差异有统计学意义(P<0.05);参照组肝体积增大与肝形态正常发生率高于试验组,差异有统计学意义(P<0.05)。结论:CT诊断在酒精性肝损伤、肝炎性肝损伤中有很大的应用价值,CT差异性可有效鉴别诊断两组症状形式,但酒精性肝损伤的CT值相对偏低,且肝体积增大及肝形态正常发生率较高。

关键词：酒精性肝损伤肝炎性肝损伤 CT诊断鉴别诊断

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五轴测量复杂曲面粗糙度及其无干涉方法

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计算机集成制造系统 2024年第2期30卷 469-481页

作者：陈鹏何金明袁圆姚宇峰常智勇万能西北工业大学机电学院陕西西安710072 陕西省“四主体一联合”航空发动机智能装配工程技术中心陕西西安710072 中国航发湖南动力机械研究所湖南株洲412000

针对航空复杂零件粗糙度检测难题,利用五轴测量机灵活性高、可达域广的特点,搭载粗糙度传感器,研究复杂曲面粗糙度测量方法。首先分析粗糙度传感器与工件位置的关系;然后研究传感器和工件的干涉判断方法,求解粗糙度五轴测量中测杆无干... 详细信息

针对航空复杂零件粗糙度检测难题,利用五轴测量机灵活性高、可达域广的特点,搭载粗糙度传感器,研究复杂曲面粗糙度测量方法。首先分析粗糙度传感器与工件位置的关系;然后研究传感器和工件的干涉判断方法,求解粗糙度五轴测量中测杆无干涉方位,对粗糙度可测区域进行预测;最后通过离心叶轮关键部位粗糙度检测实验验证算法的可行性和准确性。实验表明,基于五轴测量机的复杂曲面粗糙度检测是一种可行的接触式粗糙度检测方法,无干涉算法能够精确预测可测区域,在实现复杂零件关键部位粗糙度量化表达的同时大幅提高检测效率。

关键词：五轴测量粗糙度检测干涉判断可测区域预测

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大跨度斜拉桥钢-混组合梁一维日照温度场高效数值模型构建及试验验证

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工程力学 2024年第S1期41卷 197-205页

作者：黄民水张健蔚罗金万能邓志航何仲骜武汉工程大学土木工程与建筑学院武汉430074 绿色土木工程材料与结构湖北省工程研究中心武汉430074 重庆大学土木工程学院重庆400045

由于内部材料的分层,钢-混组合梁整体竖向温度梯度分布不均匀,温度场求解困难且模拟精度和效率不理想。该文以傅里叶热传导定律为理论基础,推导了钢-混组合梁的一维日照温度场数值计算通用模型,采用逐次超松弛迭代法进行求解;通过一个钢... 详细信息

由于内部材料的分层,钢-混组合梁整体竖向温度梯度分布不均匀,温度场求解困难且模拟精度和效率不理想。该文以傅里叶热传导定律为理论基础,推导了钢-混组合梁的一维日照温度场数值计算通用模型,采用逐次超松弛迭代法进行求解;通过一个钢-混组合梁数值案例,对比分析了该方法与COMSOL的计算精度和效率;基于某大跨度斜拉桥的温度健康监测数据,验证了该方法对于日温度时程和全截面竖向温度梯度仿真的精度,并将竖向温度梯度的仿真结果与我国桥梁规范进行了对比。结果表明:该方法计算精度与物理场仿真软件保持一致,计算效率提升了78.3%,并能准确模拟大跨度斜拉桥钢-混组合梁的竖向温度分布,为大跨度斜拉桥钢-混组合梁温度效应的计算提供了强有力工具。

关键词：一维日照温度场高效数值模型逐次超松弛迭代法钢-混组合梁傅里叶热传导定律

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基于卷积神经网络和交叉模型交叉模态方法的钢框架两阶段损伤识别研究

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工业建筑 2024年第1期54卷 123-129页

作者：万能黄民水朱宏平武汉工程大学土木工程与建筑学院武汉430073 华中科技大学土木与水利工程学院武汉430074

在结构损伤识别领域中,交叉模型交叉模态方法(CMCM)在求解含噪声的损伤识别问题时,受到系数矩阵不稳定的影响,往往导致损伤识别结果的精度下降。为了解决这一问题,提出了一种两阶段的损伤识别方法,旨在减少CMCM方法系数矩阵的冗余方程,... 详细信息

在结构损伤识别领域中,交叉模型交叉模态方法(CMCM)在求解含噪声的损伤识别问题时,受到系数矩阵不稳定的影响,往往导致损伤识别结果的精度下降。为了解决这一问题,提出了一种两阶段的损伤识别方法,旨在减少CMCM方法系数矩阵的冗余方程,提高CMCM方法的计算性能和噪声鲁棒性。首先,在第一阶段,通过卷积神经网络(CNN)进行结构损伤定位,以消除CMCM方法系数矩阵的冗余方程。其次,在第二阶段,求解已缩减的CMCM系数矩阵方程,得到更准确的损伤识别结果。通过数值和试验研究,验证了所提出的两阶段损伤识别方法的有效性,与传统的CMCM方法相比,所提方法在求解含噪声的损伤识别问题时,显著提高了损伤识别精度。

关键词：结构损伤识别交叉模型交叉模态卷积神经网络两阶段方法

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Spatial Pattern Evolution and Casual Analysis of County Level Economy in Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China

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Chinese Geographical Science 2014年第5期24卷 620-630页

作者： DONG Minghui ZOU Bin PU Qiang wan neng YANG Lingbin LUO Yanqing Department of Geography Hunan University of Arts and Science Department of Geomatics and Remote Sensing Central South University Department of Geography University of Utah Department of Geography Northeast Normal University

In order to evaluate whether or not the county units′ economy in the Changsha-Zhuzhou-Xiangtan(Chang-Zhu-Tan) Urban Agglomeration was growing as expected, this study analyzed the spatial economy pattern at county-level by using the Exploratory Spatial Data Analysis(ESDA) method. In this process, the global Moran′s I and local Getis-Ord G*i indexes were employed to analyze indicators including per capita GDP and three industrials(i.e. primary, secondary and tertiary industry) from 2000 to 2010. The results show that: 1) the county units′ economy in the Chang-Zhu-Tan Urban Agglomeration has exhibited a strong spatial autocorrelation and an accelerated integration trend since 2008(Moran′ s I increased from 0.26 to 0.56); 2) there is a significant difference in economy development between the northern and southern county units in the Chang-Zhu-Tan Urban Agglomeration: the hotspot zone with high economic level was formed among the northern county units whereas the coldspot zone with low economic level was located in the southern areas. This difference was caused primarily by the increasingly prominent economic radiation effect of Changsha ′upheaval′; 3) town density, secondary industry, and the integration policy are the major contributors driving the evolution of the spatial economy pattern in the Chang-Zhu-Tan Urban Agglomeration.

关键词：县域经济空间格局城市群长沙株洲湘潭人均国内生产总值演化

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